Table of Contents
Overview
Definitions and Key Concepts
Genomics is defined as the study of an organism's genome, which encompasses all of its genetic material and the interactions of those genes with each other and the environment.[4.1] This field of study is crucial for understanding DNA and genes, as well as their roles in health and disease.[4.1] The genome can be viewed as an operating manual that contains the instructions necessary for the development and functioning of an organism.[3.1] Furthermore, variations within an individual's genome can influence their risk of developing diseases and their responses to medications, highlighting the importance of genomics in healthcare.[3.1] Overall, genomics provides valuable insights that can inform health decisions and enhance our understanding of biological processes.[3.1] While genetics focuses on individual genes and their inheritance patterns, genomics takes a broader approach by examining all genes collectively and their interactions with one another and with environmental factors.[4.1] This distinction highlights the evolving nature of genomics, which is rapidly advancing and holds significant potential for improving human health through innovative disease prevention and management strategies.[5.1] The insights gained from genomic research not only enhance our understanding of human health but also contribute to global public health objectives by elucidating the interconnectedness of various organisms.[5.1]Importance in Health and Medicine
Genomics plays a crucial role in advancing health and medicine, particularly through the development of personalized medicine. By integrating genomic data into clinical practice, healthcare has shifted from a one-size-fits-all model to a more individualized approach. This transformation allows for a deeper understanding of the molecular basis of health and disease, enabling the development of treatment strategies tailored to individual genetic profiles.[12.1] The advent of next-generation sequencing (NGS) technologies has revolutionized genomics by enabling rapid and cost-effective sequencing of DNA and RNA, enhancing our ability to analyze complex genomic data.[15.1] NGS also accelerates the early detection of disorders and the identification of pharmacogenetic markers, crucial for customizing treatments to improve patient outcomes.[16.1] By integrating genetic, molecular, and clinical data, personalized medicine enhances diagnostic accuracy and treatment precision, leading to more effective disease management.[12.1] The ethical management of genomic datasets is essential, as these datasets are a public resource with significant societal benefits.[6.1] Ethical frameworks are being revised to ensure genomic research maximizes social benefit while promoting fairness and equity.[8.1] The World Health Organization has established principles to guide the ethical collection, access, use, and sharing of human genomic data, emphasizing responsible collaboration to protect individual rights and foster public trust.[8.1] However, rapid advancements in genetic technologies present ethical dilemmas and challenges, particularly regarding consent and the representation of historically marginalized groups in genomic research.[10.1] Addressing these challenges is critical to ensuring that the benefits of genomic medicine are equitably distributed and that public values align with research practices.[19.1]History
Early Developments in Genetics
Gregor Mendel's pioneering work in the mid-19th century laid the groundwork for the field of genetics, establishing foundational principles that continue to influence modern genomic studies. Through meticulous experiments with pea plants, Mendel formulated the Laws of Inheritance, which include the concepts of dominance, segregation, and independent assortment. These principles elucidate how traits are transmitted from parents to offspring, revealing predictable patterns of heredity that are essential for understanding genetic variation and inheritance.[84.1] The rediscovery of Mendel's laws in 1900 by scientists such as Hugo de Vries and Erich von Tsermak-Szeneygg marked a significant turning point in genetics, catalyzing advancements in agricultural sciences and breeding practices. This resurgence of interest in Mendelian genetics facilitated the integration of new biological, chemical, and biophysical insights, leading to more sophisticated experimental methodologies and quantitative approaches to data analysis.[82.1] As a result, Mendel's principles became instrumental in classical plant and animal breeding, which relied heavily on crossing and selection techniques.[82.1] Mendelian genetics also provided a framework for predicting inheritance patterns, which has been crucial for more complex genetic analyses in contemporary research. The Law of Segregation, in particular, remains relevant as it informs modern genetic applications, including gene editing and personalized medicine.[83.1] The understanding that each parent contributes one allele for each trait ensures genetic diversity in offspring, a concept that has been further explored through advanced tools such as the Punnett Square, which visualizes allele combinations and their potential phenotypic outcomes.[81.1]The Human Genome Project
Launched in October 1990, the Human Genome Project (HGP) aimed to sequence all 3 billion letters of the human genome and was completed in April 2003. This monumental project produced the first complete sequence of the human genome, which provided fundamental insights into human biology and significantly advanced the practice of medicine.[55.1] Chromosome 22 was notably the first human chromosome to be sequenced as part of this initiative.[45.1] The HGP's completion marked a pivotal moment in genomics, as it not only generated a comprehensive reference sequence of the human genome but also initiated the discovery and cataloging of most human genes and proteins, along with other critical elements such as non-coding regulatory RNAs.[56.1] This extensive mapping of the human genome has been instrumental in understanding complex biological systems, as it elucidates the connections and dynamics of various genetic components.[56.1] Moreover, the methodologies developed during the HGP laid the groundwork for subsequent advancements in genomic research, particularly in the realm of next-generation sequencing (NGS). The project fostered the development of high-throughput sequencing technologies, which made sequencing faster, more affordable, and accessible to individual laboratories.[57.1] The core philosophy of massive parallel sequencing utilized in NGS was adapted from the shotgun sequencing approach pioneered during the HGP, which was crucial for sequencing the entire human genome.[58.1] The completion of the Human Genome Project (HGP) in 2003 produced a genome sequence that accounted for over 90% of the human genome, marking a significant milestone in genetic research as it was as close to complete as the sequencing technologies allowed at that time.[54.1] The HGP set a precedent for international collaboration in scientific research, with participants from various countries working together towards a common goal.[53.1] This commitment to freely sharing the data generated by the project has paved the way for open science initiatives, encouraging global research and collective problem-solving.[53.1] Furthermore, the project has significantly increased public awareness and understanding of genetics, prompting discussions on genetic discrimination and the societal implications of genetic research.[53.1] Insights gained from the HGP have also helped researchers understand genetic diversity across populations, which is crucial for addressing health disparities and developing global health strategies.[53.1]Recent Advancements
Next-Generation Sequencing Technologies
Next-generation sequencing (NGS) technologies have significantly transformed the landscape of genomics, enabling rapid and comprehensive analysis of genetic material. These technologies have increased the throughput and speed of DNA sequencing, facilitating a wide range of applications in clinical genomics, cancer research, infectious diseases, and microbiome studies.[91.1] The advancements in NGS have made it possible to investigate genomes and genetic variations with base pair resolution, thereby enhancing the diagnosis, prognosis, and treatment of complex genetic disorders.[100.1] The integration of NGS into clinical practice is becoming increasingly feasible due to its low cost, rapid turnaround, and broad potential applications.[101.1] This has led to a growing role for NGS in patient care, although challenges remain in interpreting results and managing incidental findings.[102.1] As NGS can produce information on multiple genetic variants simultaneously, it complicates genetic counseling by increasing the complexity of interpreting sequencing results.[98.1] The advent of single-cell genomics has been significantly enhanced by technological advancements that allow for the isolation and analysis of individual cells, utilizing methods such as microfluidics, laser capture microdissection, and droplet-based techniques to minimize contamination.[96.1] Single-cell RNA sequencing (scRNA-seq) is at the forefront of this field, revolutionizing biomedical science by enabling the analysis of cellular states and intercellular heterogeneity.[97.1] Furthermore, the integration of scRNA-seq with other multi-omics technologies, including spatial transcriptomics, provides a holistic view of cellular characteristics by merging tissue sectioning with single-cell sequencing, thereby addressing the limitations of scRNA-seq in characterizing spatial locations.[108.1] This combination of single-cell multi-omics technologies is crucial for understanding the complexities of biological systems, offering insights into cellular diversity, disease mechanisms, and potential therapeutic targets.[108.1]CRISPR and Genome Editing
The CRISPR-Cas system has revolutionized the field of genome editing, offering a versatile tool for targeting various genes and providing potential treatments for a range of cancers, including lung and breast cancer, among others.[103.1] The most widely utilized gene-editing nuclease, Cas9, has demonstrated significant promise in treating hereditary diseases, viral infections, and cancers.[104.1] Additionally, alternative CRISPR-Cas systems, such as Cas13, which targets RNA instead of DNA, are being explored for their therapeutic applications in conditions caused by misregulated or mutated transcripts, including viral infections and neurological disorders.[105.1] One notable application of CRISPR-Cas9 technology is in the engineering of T-cells to express chimeric antigen receptors (CARs), which specifically target tumor-associated antigens, thereby enhancing the efficacy of CAR-T cell therapy.[106.1] This technology has improved T-cell functionality and specificity, making it a powerful approach in cancer treatment. Furthermore, CRISPR-Cas gene editing has been employed to introduce oncolytic viruses with therapeutic genes, which enhances their selectivity for cancer tissues while suppressing the antiviral defenses of malignant cells.[106.1] In the realm of genetic disorders, CRISPR-Cas technology has shown promise in developing therapies for conditions such as β-thalassemia and severe sickle cell disease through the editing of hematopoietic stem cells.[120.1] Clinical trials initiated by CRISPR Therapeutics and other organizations have aimed to treat these diseases by utilizing CRISPR/Cas9 edited cells.[120.1] Moreover, advancements in CRISPR technology have led to the development of precision medicine approaches that tailor treatments based on individual genetic profiles, potentially leading to more effective and curative therapies for a variety of genetic diseases.[121.1] The potential of CRISPR technology extends to the treatment of hemophilia B, where gene editing is used to correct mutations in the F9 gene responsible for producing the clotting factor IX.[122.1] Additionally, innovative applications of CRISPR, such as the use of CRISPR/Cas13a to target and destroy the genetic material of the virus responsible for COVID-19, exemplify the technology's versatility and impact on public health.[122.1] Overall, CRISPR-Cas technology not only enhances our understanding of gene function but also paves the way for targeted and effective treatments for rare and complex medical conditions.[123.1]In this section:
Applications Of Genomics
Personalized Medicine
Personalized medicine, particularly in oncology, has been significantly transformed by the integration of genomic data. This approach tailors treatment strategies to individual patients based on their unique genetic profiles, thereby enhancing the effectiveness of therapies. Companion diagnostics (CDx) play a crucial role in this process by identifying which treatments are most effective for specific tumor types, thereby minimizing damage to healthy tissues and improving patient outcomes in terms of response rates and progression-free survival during clinical trials.[135.1] The application of multi-omics methodologies, which include genomics, transcriptomics, proteomics, and metabolomics, has further advanced the understanding of various cancers, such as prostate cancer. These methodologies facilitate the identification of critical molecular pathways and biomarkers essential for early detection, prognostic evaluation, and personalized treatment.[137.1] Moreover, personalized oncology leverages genomic data to inform treatment decisions, highlighting the importance of genomic profiling in determining the most appropriate therapeutic strategies for patients.[138.1] The integration of diagnostic clinical genome and exome sequencing (CGES) is significantly transforming the practice of clinical genetics. Many large healthcare institutions are investing heavily in the necessary infrastructure and technology, which enables clinicians to access CGES, particularly as health care coverage expands to include clinically indicated genomic sequencing-based tests.[130.1] This evolution in genomic medicine is not without its challenges; effectively utilizing genomic data in patient care requires a comprehensive understanding of how to interpret genetic test results, communicate findings to patients, and apply genomic data in clinical decision-making.[134.1] Additionally, the vast amounts of data generated by technologies such as whole-genome sequencing necessitate robust analysis processes to distill this information into clinically applicable insights.[132.1] Integrating genomic data into Electronic Health Records (EHRs) is also crucial, as it enhances the accessibility and interoperability of genetic information across various healthcare settings.[134.1]Public Health and Disease Prevention
The integration of genomic data into public health strategies offers transformative potential for disease prevention, especially in underserved communities. By understanding the complex interplay between genomic variation and environmental factors, public health initiatives can be tailored to enhance disease prevention efforts in these populations [140.1]. In regions like Texas's Rio Grande Valley, where poverty and limited healthcare access are prevalent, early diagnosis of rare diseases through genomic insights is crucial for delivering targeted care [141.1]. Efforts to improve access to genomic services in medically underserved areas have highlighted successful programs that address healthcare disparities [142.1]. Building trust and awareness of cultural practices within these communities has been key to improving health outcomes [143.1]. The application of genomic epidemiology, combined with a One Health approach, enhances outbreak detection and health risk understanding, enabling proactive public health measures [144.1]. However, equitable access to genomic technologies remains a challenge, particularly in low- and middle-income countries, where financial and infrastructural barriers persist [154.1]. Strategies to overcome these challenges include integrating genomic services into primary care and developing guidelines for patient identification [155.1]. Despite advancements, disparities in genomic healthcare continue to exacerbate health inequities [156.1]. Increasing the representation of underrepresented groups in genomic research and actively engaging these communities is essential [157.1]. This involves fostering relationships with diverse populations, ensuring research relevance, and promoting access to genomic services through supportive policies [157.2]. Genomic testing plays a significant role in preventive medicine, with case studies demonstrating improved patient outcomes, particularly in cancer treatment [158.1]. Techniques like whole exome sequencing (WES) and rapid next-generation sequencing (NGS) testing facilitate the identification of tumor-specific mutations, guiding targeted therapies that enhance patient outcomes and survival rates [159.1][161.1]. Overall, integrating genomics into public health and preventive medicine represents a transformative shift, enabling precise interventions and improved health outcomes for diverse populations [162.1].Ethical Considerations
Data Privacy and Patient Consent
Informed consent is a critical component of genetic testing, ensuring that individuals understand the implications of sharing their genetic information. It is essential for healthcare providers to define core concepts related to informed consent, as this foundation supports quality patient care across various clinical contexts.[173.1] The ethical considerations surrounding genetic testing emphasize the necessity of appropriate genetic counseling and informed consent, which require individuals to comprehend the purpose, potential outcomes, and limitations of the tests before consenting.[174.1] To enhance the informed consent process, researchers have proposed several strategies, including the categorization of results and the implementation of a layered consent model. These approaches aim to optimize how information is conveyed to participants, thereby improving their understanding of the implications of genetic testing.[175.1] Furthermore, informed consent is not merely a procedural formality; it is a process through which patients learn about the risks, benefits, and alternatives associated with genetic tests, often occurring during healthcare visits or research trials.[176.1] Ethical considerations in genomic research extend beyond informed consent to include the responsibilities researchers have towards participants' close genetic relatives. It is recommended that during the initial informed consent process, researchers discuss the implications of findings for family members and encourage participants to involve their relatives in decisions regarding research participation.[178.1] This approach acknowledges the interconnectedness of genetic information and the potential impact on family dynamics. Moreover, the complexities of genomic data raise significant ethical challenges, particularly concerning privacy and confidentiality. The Genetic Information and Nondiscrimination Act of 2008 (GINA) plays a crucial role in protecting the genetic privacy of individuals, including research participants, by regulating access to sensitive information.[183.1] Balancing individual autonomy and privacy with the potential benefits of genomic research is a persistent ethical dilemma, necessitating careful consideration of how genetic data is collected and utilized.[182.1]Equity in Genomic Research
Significant disparities exist in the clinical usefulness of genomic information across diverse groups, primarily due to underrepresentation in genetic databases and inequitable access to genetic services. Addressing these disparities is crucial to ensure that genomic medicine is equitable, necessitating a long-term commitment and active engagement from diverse communities.[195.1] The urgent need for diverse genomic data is particularly pronounced for populations that have historically suffered from genetic colonialism, where researchers have often exploited marginalized communities without full transparency regarding research intentions.[194.1] As genomic technologies advance, patient advocacy organizations are poised to play a vital role in addressing these disparities. Their involvement can enhance patient education about new genomic technologies and ensure that marginalized communities are not left behind in accessing the benefits of these innovations.[191.1] Projects like Project GIVE illustrate how virtual genetics services can transcend barriers, making healthcare more accessible for under-resourced populations.[193.1] Moreover, the ethical landscape of genomic research is complex, with ethical, legal, and social issues (ELSIs) arising from the intersection of genetics with public health regulations and the control of transmissible diseases. These ELSIs include risks associated with reporting to government authorities, the return of individual research results, and resource allocation, all of which must balance public health interests with individual privacy and protection.[170.1] In the context of genomic research, the ethical challenges faced by ethics committees are compounded by the rapid evolution of the field. Limited understanding and expertise in reviewing genomic research can lead to either the hindrance of novel research or the oversight of significant ethical issues.[196.1] Therefore, comprehensive policy frameworks that integrate local environments are essential to address the range of ethics and regulatory issues that researchers and oversight entities encounter globally.[198.1] Ultimately, fostering public trust in genomic research is critical, as it relies on robust stewardship and widespread engagement with the ethical issues inherent in these practices.[172.1]In this section:
Future Directions
Emerging Technologies in Genomics
Emerging technologies in genomics are poised to significantly transform the landscape of healthcare, particularly in the realms of precision medicine and cancer treatment. One of the most notable advancements is the application of next-generation sequencing (NGS) technology, which has revolutionized cancer research by revealing the genetic and epigenetic underpinnings of disease onset and progression. This technology has redefined clinical diagnosis and treatment paradigms, allowing for a more nuanced understanding of individual malignancies through genomic, transcriptomic, and epigenomic analyses.[246.1] NGS technologies facilitate the identification of actionable targets, such as BRAF in melanoma and EGFR in lung cancer, thereby enhancing treatment selection beyond conventional histopathologic methods.[247.1] As NGS assays become standard in managing patients with advanced cancer, they utilize high-throughput DNA sequencing to analyze entire genomes, whole exomes, or targeted gene panels, employing various sample types including tumor tissue and blood.[248.1] This capability not only aids in identifying genomic alterations but also uncovers novel therapeutic targets, although challenges remain in translating these findings into clinical practice.[247.1] Advancements in genomic sequencing are poised to transform our understanding of population dynamics and health, particularly through the sequencing of genomes from underserved populations. By establishing genome banks that include individuals outside of Europe and North America, researchers can gain insights into health and evolution that were previously unattainable due to the challenges posed by difficult-to-sequence pseudogenes.[213.1] This approach is expected to enhance our understanding of health disparities and contribute to improved health equity in genomics.[211.1] Furthermore, genetic testing plays a crucial role in medicine by providing valuable information about an individual's genetic makeup, which facilitates personalized treatment plans and early disease detection.[241.1] Specifically, cancer genetic testing represents a revolutionary approach that assesses genetic markers in asymptomatic individuals to predict their susceptibility to cancer, thereby significantly impacting early detection and intervention strategies.[242.1] Overall, the integration of advanced genomic sequencing technologies is essential for precision oncology and the development of innovative treatments, including mRNA vaccines for certain cancers.[213.1]Integration of Genomics in Healthcare Systems
The integration of genomics into healthcare systems is poised to transform patient care significantly. Whole genome sequencing (WGS) is becoming the preferred method for molecular genetic diagnosis, particularly for rare and unknown diseases, as well as for identifying actionable cancer drivers.[220.1] As the cost of sequencing decreases, the medical use of WGS is expected to advance rapidly, leading to a substantial increase in genomic information available for clinical decision-making.[221.1] This influx of data presents both opportunities and challenges, particularly in terms of data interpretation and patient privacy.[219.1] The integration of genomics into healthcare systems raises significant ethical and security challenges that must be addressed as genetic testing becomes more prevalent. Key ethical principles such as autonomy, confidentiality, privacy, and equity are crucial in determining how genetic tests should be implemented and the circumstances under which they are used.[214.1] Patients must be able to give informed consent, fully understanding the purpose, benefits, and risks associated with genetic testing, while also maintaining control over the disclosure of their results, including any unexpected findings.[216.1] Furthermore, the storage of genetic data presents critical questions regarding the adequacy of current methods to protect sensitive information, as breaches could lead to discrimination, such as unofficial blacklists that prevent high-risk individuals from accessing essential coverage.[216.1] As technology advances, it is essential to strike a balance between the potential benefits of genetic research and the ethical considerations it raises, ensuring that advancements in genetics are utilized responsibly and in the best interest of humanity.[215.1] The integration of genomic data into personalized medicine is significantly enhancing patient care by allowing healthcare providers to tailor strategies and medications for diagnosing and treating diseases, thereby improving the management of hereditary conditions.[223.1] As genomic sequencing costs decline and the volume of data increases, healthcare institutions are presented with unprecedented opportunities to leverage this genomic data through advancements in artificial intelligence (AI) for precision medicine.[224.1] The increasing mainstreaming of genetic testing into routine clinical practice, particularly within systems like the NHS, highlights the growing importance of genomics for clinicians. This shift is expected to revolutionize healthcare by enabling prompt and accurate diagnoses, risk stratification based on genotype, and the development of personalized treatment options.[225.1] Additionally, initiatives such as the Genomics and Health Disparities Lecture Series aim to foster dialogue on how innovations in genomics can address health disparities, ensuring that underserved communities are actively included in the benefits of genomic research.[226.1]References
[3] Introduction to Genomics - National Human Genome Research Institute — Genomics The Human Genome Project About Health* Genomics & Medicine About Genomics About Genomics What's a Genome? Genome is a fancy word for all your DNA. Your genome is the operating manual containing all the instructions that helped you develop from a single cell into the person you are today. The more you know about your genome and how it works, the more you'll understand your own health and make informed health decisions. More importantly, variations in your genome also influence your risk of developing diseases and your responses to medications. A genetic disease is caused by a change in the DNA sequence. Genetic DisordersA list of genetic, orphan and rare diseases under investigation by researchers at or associated with the National Human Genome Research Institute. Direct-to-Consumer Genomic Testing
[4] Genetics vs. Genomics Fact Sheet - National Human Genome Research Institute — Genetics refers to the study of genes and the way that certain traits or conditions are passed down from one generation to another. Genomics describes the study of all of a person's genes (the genome). Genetics is a term that refers to the study of genes and their roles in inheritance - in other words, the way that certain traits or conditions are passed down from one generation to another. Genomics is a more recent term that describes the study of all of a person's genes (the genome), including interactions of those genes with each other and with the person's environment. Genetics and genomics both play roles in health and disease.
[5] Genomics - Global - World Health Organization (WHO) — Genomics is evolving rapidly, and its potential impact for the future of human health cannot yet be known. Human genomics knowledge and technologies provide new ways to prevent and manage many diseases, and opportunities to achieve global public health goals. Genomic knowledge of other organisms contributes to the understanding of human health and diseases, the interconnectedness across
[6] Rethinking the ethical principles of genomic medicine services — Rethinking ethics frameworks. We have argued that genomic datasets are a public resource that carry large societal benefits, and that they should be managed in a way that maximises those benefits, and is consistent with the requirements of fairness. ... Ethics frameworks should aim to provide services that maximise social benefit, and encourage
[8] WHO releases new principles for ethical human genomic data collection ... — The World Health Organization (WHO) has issued a set of principles for the ethical collection, access, use and sharing of human genomic data. Created with guidance from the WHO Technical Advisory Group on Genomics (TAG-G) and other international experts, these principles establish a global approach to help protect individual rights, promote equity and foster responsible collaboration in genomic research. "The potential of genomics to revolutionize health and disease understanding can only be realized if human genomic data are collected, accessed and shared responsibly,” says Dr John Reeder, Director of WHO’s Research for Health Department. “This document outlines globally applicable principles designed to guide ethical, legal and equitable use of human genome data, fostering public trust and protecting the rights of individuals and communities.
[10] The Ethics of Consent in a Shifting Genomic Ecosystem - PMC — The shifting genomic landscape and the focus on collecting data from underserved and historically marginalized groups create ethical challenges for current approaches to consent. In the datafication of human life ( 2 , 10 , 11 ), questions about whether research using genetic data aligns with public values loom large.
[12] Revolutionizing Personalized Medicine: Synergy with Multi-Omics Data ... — The history of personalized medicine is punctuated by significant milestones in genetics, technology, and clinical applications, shifting healthcare from a one-size-fits-all approach to a more individualized understanding of the molecular basis of health and disease and effective treatment strategies . Advances in genomics and biotechnology in the 21st century are enabling more personalized approaches to medicine, predicting disease risks, and tailoring treatments to individual genetic profiles. Personalized medicine leverages these images in conjunction with genetic data to gain deeper insights into disease mechanisms in individual patients, enhancing precision in diagnosis and treatment strategies . Through the integration of genetic, molecular, and clinical data, personalized medicine enables more accurate diagnosis, precise treatment targeting, and effective disease management.
[15] Next-Generation Sequencing and Genomic Data Analysis — Next-generation sequencing (NGS) technologies have revolutionized the field of genomics, enabling rapid and cost-effective sequencing of DNA/RNA molecules at unprecedented scales. This chapter presents a comprehensive overview of NGS methodologies and genomic data analysis techniques, highlighting recent advancements and future prospects.
[16] The road from next-generation sequencing to personalized medicine — Next-generation sequencing (NGS) has the potential to accelerate the early detection of disorders and the identification of pharmacogenetics markers to customize treatments. ... The road from next-generation sequencing to personalized medicine. ... Sunyaev SR. Most rare missense alleles are deleterious in humans: implications for complex
[19] Challenges and potential solutions to health disparities in genomic ... — Significant disparities in the clinical usefulness of genomic information across diverse groups are due to underrepresentation in genetic databases and inequitable access to genetic services. Remedying disparities is immediately needed to ensure that genomic medicine is more equitable but will take a long-term commitment and active engagement of diverse communities.
[45] History of genomics timeline from 1871 to present day - YourGenome — The first DNA sequencing technique: Frederick Sanger and his team develop 'chain-termination sequencing’ (or ‘Sanger sequencing’) and sequence the first full genome – that of a virus called phiX174. The project aims to sequence all 3.2 billion letters of a human genome in 15 years. Chromosome 22 is the first human chromosome to be sequenced as part of the Human Genome Project. The first draft of the human genome sequence is released. 1,000 Genomes Project launched – the first project that aims to sequence the whole genomes of a large number of people. The entirety of the human genome sequence is completed. The UK launches a pilot to test whole-genome sequencing in babies that looks for 200 genetic conditions.
[53] Human Genome Project | Impact | Wellcome — Human Genome Project | Impact | Wellcome The completion of the Human Genome Project has accelerated research in genetics, leading to the discovery of new genes and pathways involved in health and disease. The Human Genome Project set a precedent for international collaboration in scientific research, with participants from various countries working together towards a common goal. The commitment to freely sharing Human Genome Project data paved the way for open science initiatives, encouraging global research and collective problem-solving. The Human Genome Project increased public awareness and understanding of genetics, prompting discussions on genetic discrimination and the societal impacts of genetic research. Insights from the Human Genome Project have helped researchers understand genetic diversity across populations, which is crucial for addressing health disparities and developing global health strategies.
[54] Human Genome Project Fact Sheet - National Human Genome Research Institute — In 2003, the Human Genome Project produced a genome sequence that accounted for over 90% of the human genome. It was as close to complete as the technologies for sequencing DNA allowed at the time. The project was critical for advancing policies and earning increased support for the open sharing of scientific data.
[55] The Human Genome Project - National Human Genome Research Institute — Launched in October 1990 and completed in April 2003, the Human Genome Project's signature accomplishment - generating the first sequence of the human genome - provided fundamental information about the human blueprint, which has since accelerated the study of human biology and improved the practice of medicine.
[56] The Human Genome Project: big science transforms biology and medicine — The Human Genome Project: big science transforms biology and medicine - PMC The Human Genome Project: big science transforms biology and medicine The Human Genome Project has transformed biology through its integrated big science approach to deciphering a reference human genome sequence along with the complete sequences of key model organisms. First, the human genome sequence initiated the comprehensive discovery and cataloguing of a ‘parts list’ of most human genes , and by inference most human proteins, along with other important elements such as non-coding regulatory RNAs. Understanding a complex biological system requires knowing the parts, how they are connected, their dynamics and how all of these relate to function . The HGP benefited biology and medicine by creating a sequence of the human genome; sequencing model organisms; developing high-throughput sequencing technologies; and examining the ethical and social issues implicit in such technologies.
[57] The journey from next-generation sequencing to personalized medicine ... — Following the completion of the Human Genome Project in 2003, sequencing has become one of the most influential tools in biomedical research. Sequencing took off in earnest with the development of next-generation sequencing techniques in the early 2000s, making sequencing high throughput, faster, more affordable and commercially available to individual laboratories. With the improved
[58] The impact of next-generation sequencing on genomics - PMC — Shotgun sequencing was a significant advantage from HGP, and made sequencing the entire human genome possible. The core philosophy of massive parallel sequencing used in next-generation sequencing (NGS) is adapted from shotgun sequencing (Venter et al., 2003; Margulies et al., 2005; Shendure et al., 2005).
[81] Mendelian Genetics: Foundations and Modern Applications — Mendelian Genetics: Foundations and Modern Applications - BiologyInsights Explore the foundational principles of Mendelian genetics and their impact on modern genetic research and applications. This means that each parent contributes one allele for each trait, ensuring genetic diversity in offspring. These studies have illuminated the complex genetic architectures underlying many phenotypes, revealing that most traits are influenced by multiple genetic factors. This graphical representation provides a systematic way to visualize how alleles from two parents can combine, offering insights into the probable distribution of genetic traits. This complexity underscores the versatility of the Punnett Square as a pedagogical tool, allowing for exploration of more advanced genetic scenarios, such as linked genes or incomplete dominance, where phenotypic outcomes deviate from classical expectations.
[82] Mendel and modern genetics: the legacy for today — Mendel and modern genetics: the legacy for today - ScienceDirect (1988) Mendel... A major breakthrough in genetics in the 20th century were the rediscovery of the Mendel Laws in 1900 by Hugo de Vries and Erich von Tsermak-Szeneygg (Allen, 2003; Brown, 2013). Transitions in agricultural sciences are brought about by incorporating new findings and insights emerging from biological, chemical and biophysical sciences, by more advanced ways of experimentation and last but not least by quantitative methods and models for data analyses and processing. The publication by Darwin on domestication in 1868 and the rediscovery of Mendel's laws in 1900 gave a boost to genetics underlying classical plant and animal breeding, which was mainly based on crossing and selection.
[83] Understanding the Law of Segregation: Concepts and Modern Uses — Such studies have been foundational in predicting patterns of inheritance and have paved the way for more intricate genetic analyses. Modern Genetic Applications. The principles of the Law of Segregation continue to inform and transform modern genetic research and applications. As our understanding of genetics deepens, these foundational
[84] Gregor Mendel and the Principles of Inheritance | Learn ... - Nature — Nature Education 1(1):134 Gregor Mendel's principles of inheritance form the cornerstone of modern genetics. The way in which traits are passed from one generation to the next-and sometimes skip generations-was first explained by Gregor Mendel. By experimenting with pea plant breeding, Mendel developed three principles of inheritance that described the transmission of genetic traits, before anyone knew genes existed. Gregor Mendel’s Courage and Persistence Figure 3 Figure 2 Our modern understanding of how traits may be inherited through generations comes from the principles proposed by Gregor Mendel in 1865. Indeed, after eight years of tedious experiments with these plants, and—by his own admission—"some courage" to persist with them, Mendel proposed three foundational principles of inheritance.
[91] Next-Generation Sequencing Technology: Current Trends and Advancements ... — This review article provides an overview of NGS technology and its impact on various areas of research, such as clinical genomics, cancer, infectious diseases, and the study of the microbiome. These second-generation sequencing technologies have significantly increased the throughput and speed of DNA sequencing, enabling a wide range of applications in genomics research and clinical diagnostics . 192.Abel H.J., Duncavage E.J. Detection of structural DNA variation from next generation sequencing data: A review of informatic approaches. 203.Hajibabaei M., Shokralla S., Zhou X., Singer G.A.C., Baird D.J. Environmental Barcoding: A Next-Generation Sequencing Approach for Biomonitoring Applications Using River Benthos. 208.Minogue T.D., Koehler J.W., Stefan C.P., Conrad T.A. Next-Generation Sequencing for Biodefense: Biothreat Detection, Forensics, and the Clinic.
[96] Single Cell Genomics: A Comprehensive Look at Emerging Insights — Technological advancements have enabled single cell genomics through the ability to isolate and analyze individual cells. Techniques like microfluidics, laser capture microdissection, and droplet-based methods efficiently separate single cells from heterogeneous populations while minimizing contamination.
[97] Single-cell sequencing to multi-omics: technologies and applications — Single-cell RNA sequencing (scRNA-seq) is revolutionizing biomedical science by analyzing cellular state and intercellular heterogeneity. The combination of scRNA-seq and other multi-omics is at the forefront of the single-cell field. Spatial transcriptomics technologies merge tissue sectioning with single-cell sequencing to compensate for the inability of scRNA-seq to characterize spatial locations. The holistic view created by single-cell multi-omics technologies is crucial for understanding the complexities of biology, providing insights into cellular diversity, disease mechanisms, and potential therapeutic targets. In this review, we encapsulate the advancements and applications of traditional scRNA-seq, outline various single-cell multi-omics methodologies, and explore their biological and clinical implications, while also contemplating current limitations and future directions. A brief method and principle of single-cell multi-omics technologies for (A) scTCR/BCR-seq, (B) ClickTag, (C) proteome, (D) microbiome, (E) metabolome, (F) epigenome
[98] Principles of Genetic Counseling in the Era of Next-Generation ... — Next-generation sequencing (NGS) can produce information on several genetic variants simultaneously, with different functions and consequences for each. Accordingly, determining the status of the patient or consultant and interpreting sequencing results from many genes can largely increase the complexity of genetic counseling.
[100] Problems of Unknown Significance: Counseling in The Era of Next ... — Next generation sequencing (NGS) has been changing the way we approach the diagnosis, prognosis and treatment of these complex genetic disorders. It provided us with the ability to investigate the genomes and variations with the precision of base pair (bp) resolution, decreasing cost and making the whole process more effective and informative
[101] Genetic counselors' (GC) knowledge, awareness, and understanding of ... — Recent advances in sequencing technology, including next generation sequencing (NGS), have made the integration of clinical genomics into patient care a rapidly foreseeable reality. Due to the low cost, rapid turnaround, and broad potential application of NGS sequencing, its role in clinical care is expected to continue to grow . Research has
[102] A Genetic Counselor's Guide to Using Next-Generation Sequencing in ... — Advances in next-generation sequencing (NGS) and rapid reductions in cost have increased the use of such technologies in research and clinical practice. However, many barriers exist to translating NGS for routine clinical use, including issues related to the interpretation of results, and the potential to find results that are secondary or incidental to the specific application of NGS
[103] Applications and challenges of CRISPR-Cas gene-editing to disease ... — A variety of studies have applied CRISPR-Cas systems for effectively targeting different genes and have managed to prove the potential treatment ability for initiation or progression of lung cancer,64 breast cancer,65,66 and many other types of cancers.67–69 Meanwhile, the CRISPR-Cas system has been harnessed to serve as a powerful tool with the ability of unbiased screening of precision medicine including identification of new drug targets, biomarkers, and elucidation of mechanisms leading to drug resistance.70–72 In short, there are tremendous potential applications for CRISPR-Cas and their derivative systems (i.e. dCas9) due to the ability to accurately determine the underlying disease causes, genetic mutation variants, immunological regulatory factors, cell signaling mediators, and drug targets as well as drug molecules and therapeutics.
[104] Applications and challenges of CRISPR-Cas gene-editing to disease ... — Cas9, by far the most extensively used gene-editing nuclease, has shown great promise for the treatment of hereditary diseases, viral infection, cancers, and so on. Recent reports have revealed that some other types of CRISPR-Cas systems may also have surprising potential to join the fray as gene-editing tools for various applications.
[105] CRISPR Cas13: Transforming RNA Editing and Disease Research — Unlike DNA-targeting CRISPR systems, Cas13 focuses on RNA, making it valuable for studying transient genetic changes and therapeutic applications. Its ability to modify RNA holds promise for treating diseases caused by misregulated or mutated transcripts. Researchers are exploring its use in viral infections, neurological disorders, and cancer.
[106] Advances in CRISPR-Cas technology and its applications: revolutionising ... — | Blood | Hemophilia B | F9 | Corrected F9 gene in iPSCs using CRISPR-Cas9; restored F9 expression in hepatocyte-like cells | Morishige et al. One prominent application of CRISPR-Cas9 technology is its application in engineering T-cells express CARs. CAR-T cell therapy is a genetically modified T-cell that expresses CARs, targeting tumour-associated antigens (TAAs) or tumour-specific antigens (TSAs) with high specificity, thereby targeting and eliminating cancer cells (Jogalekar et al., 2022). CRISPR-Cas9 technology has enhanced CAR-T therapy by enabling precise genetic edits that improve T cell functionality, persistence, and specificity (Dimitri et al., 2022). CRISPR-Cas gene editing is utilised to introduce oncolytic viruses with therapeutic genes, enhancing their cancer tissue selectivity and suppressing antiviral protective mechanisms employed by malignant cells (Wang et al., 2022b).
[108] Single-cell sequencing to multi-omics: technologies and applications — Single-cell RNA sequencing (scRNA-seq) is revolutionizing biomedical science by analyzing cellular state and intercellular heterogeneity. The combination of scRNA-seq and other multi-omics is at the forefront of the single-cell field. Spatial transcriptomics technologies merge tissue sectioning with single-cell sequencing to compensate for the inability of scRNA-seq to characterize spatial locations. The holistic view created by single-cell multi-omics technologies is crucial for understanding the complexities of biology, providing insights into cellular diversity, disease mechanisms, and potential therapeutic targets. In this review, we encapsulate the advancements and applications of traditional scRNA-seq, outline various single-cell multi-omics methodologies, and explore their biological and clinical implications, while also contemplating current limitations and future directions. A brief method and principle of single-cell multi-omics technologies for (A) scTCR/BCR-seq, (B) ClickTag, (C) proteome, (D) microbiome, (E) metabolome, (F) epigenome
[120] Advances in CRISPR/Cas-based Gene Therapy in Human Genetic Diseases — Advances in CRISPR/Cas-based Gene Therapy in Human Genetic Diseases - PMC Advances in CRISPR/Cas-based Gene Therapy in Human Genetic Diseases Keywords: CRISPR/Cas, Gene editing, Gene therapy, Human disease, Genetic disease To date, three clinical trials aiming to treat patients with β-thalassemia and severe sickle cell disease by transfusion of CRIPSR/Cas9 edited CD34+ human HSCs (CTX001) have been initiated by CRISPR Therapeutics in 2018 and Allife Medical Science and Technology Co., Ltd in 2019 (Table 3). Similarly, CRISPR/Cas- induced NHEJ has been used to treat DMD in a DMD dog model after AAV-mediated systemic delivery of CRISPR gene editing components.
[121] Current approaches in CRISPR-Cas systems for hereditary diseases — Patient treatment and lowering side effects significantly in individual genetic profiles will guide CRISPR-based treatments. These procedures will undoubtedly lead to therapies that are both efficient and curative of a wide range of genetic diseases, ushering in a new era of precision medicine.
[122] Seven diseases CRISPR technology could cure - Labiotech.eu — CRISPR technology offers the promise to cure human genetic diseases with gene editing. In the U.S., CRISPR Therapeutics is one of the leading companies in this space, developing off-the-shelf, gene-edited T cell therapies using CRISPR, with two candidates – targeting CD19 and CD70 proteins – in clinical trials. As hemophilia B is caused by mutations in the F9 gene, which encodes a clotting protein called factor IX (FIX), Regeneron’s drug candidate uses CRISPR/Cas9 gene editing to place a copy of the F9 gene in cells in order to get the taps running for FIX production. For instance, scientists at Stanford University developed a method to program a version of the gene editing technology known as CRISPR/Cas13a to cut and destroy the genetic material of the virus behind COVID-19 to stop it from infecting lung cells.
[123] Current progress in CRISPR-Cas systems for rare diseases — This strategy offers hope for remedies and disease understanding. CRISPR-Cas genome editing may enable more targeted and effective treatments for rare medical illnesses with few therapy options. By developing base- and prime-editing CRISPR technology, CRISPR-Cas allows for accurate and efficient genome editing and advanced DNA modification.
[130] Recommendations for the Integration of Genomics into Clinical Practice — The introduction of diagnostic clinical genome and exome sequencing (CGES) is changing the scope of practice for clinical geneticists. Many large institutions are making a significant investment in infrastructure and technology, allowing clinicians to access CGES especially as health care coverage begins to extend to clinically indicated genomic sequencing-based tests.
[132] Integrating Large-Scale Genomic Information into Clinical Practice ... — Technologies such as whole-genome sequencing generate a tremendous amount of data, and reducing those data down to clinically applicable information will require a robust analysis process. As Debra Leonard from Weill Cornell Medical Center introduced the speakers, she stated some of the key questions and challenges for analysis of genomic data: What standards will be applied to the analysis of
[134] PDF — genetic insights into patient care. This includes understanding how to interpret genetic test results, communicate findings to patients, and apply genomic data in clinical decision-making . Integrating genomic data into Electronic Health Records (EHRs) enhances accessibility and interoperability of genetic information across healthcare settings.
[135] The growing role of precision and personalized medicine for cancer ... — Companion diagnostics (CDx) help identify which treatments will be most effective for a specific patient’s tumor, and novel cell therapies are used to target the cancer with minimal damage to healthy tissues, making the PPM model more effective and safer. Recent work has focused on the development of more accurate tumor models (organoids) and harnessing the specificity of the immune system to develop effective cancer vaccines or mAbs. The personalized treatment approach has resulted in improved patient outcomes in terms of response rate and progression-free survival in Phase I clinical trials that selected patients using a specific biomarker versus those that did not174.
[137] Role of multi‑omics in advancing the understanding and treatment of ... — The application of multi‑omics methodologies, encompassing genomics, transcriptomics, proteomics, metabolomics and integrative genomics, has markedly enhanced the understanding of prostate cancer (PCa). These methods have facilitated the identification of molecular pathways and biomarkers crucial for the early detection, prognostic evaluation and personalized treatment of PCa. Studies using
[138] Innovations in Personalized Oncology: Integrating Genomic Data into ... — Personalized oncology represents a transformative approach to cancer treatment, leveraging genomic data to tailor therapies to individual patients. This article reviews recent innovations in the integration of genomic data into cancer care, highlighting advancements in genomics, bioinformatics, and therapeutic strategies. We discuss the impact of genomic profiling on treatment decisions, the
[140] Gene-environment interactions and health inequalities: views of ... — Indicative of the study's aim to capture the opinions of individuals living within local underserved communities, ... the impact of these results on human health and disease prevention will be limited unless the complex interactions between genomic variation and environmental factors are addressed. ... participants were not presented with
[141] Bridging the Genomic Divide: The Impact of Project GIVE on Underserved ... — In the context of rare disease, an early diagnosis is essential to provide targeted care and support for families, but many children in under-resourced areas face a prolonged diagnostic odyssey. This is the reality for many in Texas's Rio Grande Valley (RGV), where more than 1.4 million residents contend with high poverty rates, low insurance
[142] Understanding Disparities in Access to Genomic Medicine ... - PubMed — Workshop participants discussed research on access to genetics and genomics services in medically underserved areas, model programs of care for diverse patient populations, and current challenges and possible best practices for alleviating health care disparities as they relate to genomics-based approaches.
[143] Improving access to genetic services for underserved populations: Amish ... — Providers who have worked with Plain communities successfully have attributed their success to several factors, most notably awareness and respect of differing cultural practices and beliefs. Building relationships and gaining the trust of communities takes time, but ultimately can result in improved overall health for underserved populations.
[144] Enhancing public health surveillance: integrating genomic and ... — Implementation of genomic epidemiology in public health practice alongside a One Health approach holds promise for early and more specific outbreak detection, improved understanding of health risks, increased hypothesis generation for research, and proactive public health action to prevent health threats.This dissertation focuses on genomic data integration and use within public health practice, highlighting the systems changes required for successful implementation, demonstrating population-level genomic-epidemiologic analyses for the purpose of public health action, and discussing expansion of these concepts to encompass a One Health approach. Next, I apply genomic-epidemiologic methods, demonstrating the utility of genomic data produced at the population-level to add information for public health action over the course of the SARS-CoV-2 pandemic.
[154] WHO's Science Council launches report calling for equitable expansion ... — The report calls for expanding access to genomic technologies, particularly in low- and middle-income countries (LMICs), by addressing shortfalls in financing, laboratory infrastructure, materials, and highly trained personnel.
[155] Advocacy and actions to address disparities in access to genomic health ... — Possible solutions to reaching more equitable access to genomic health care include developing guidelines for identifying those patients who need to see genomic specialists, are candidates for genomic tests, and require follow-up care some of which can be managed through primary care.
[156] Genomics-informed nursing strategies and health equity: A scoping ... — Although the integration of genomics into health care services continues to enhance patient outcomes, access to genomic technologies is not equitable, exacerbating existing health disparities amongst certain populations.
[157] Defining and Achieving Health Equity in Genomic Medicine — Increase representation of underrepresented groupsResearchersPrioritize recruitment of underrepresented participants over quickly reaching recruitment goalsInvestigate research questions of special interest to diverse and underserved populationsConduct clinical genomic studies in diverse healthcare settingsIncrease community engagement to build relationships, garner trust, and address local concernsFundersEncourage higher levels of inclusion in study design and review criteria for funding opportunitiesProvide investigators adequate time and resources to engage communitiesActively monitor and support researchers in reaching recruitment targetsFacilitate equal access to genomic servicesResearchersBuild on evidence base for cost-effectiveness and clinical utility of genomic testsEngage payers to promote evidence-based coverage of genomic servicesPayersCommunicate what evidence is needed to make coverage decisions about tests and genetic counseling servicesPolicymakersExplore ways to promote access to testing for underserved groups, such as through state Medicaid policiesResearch institutions, medical centers, and medical schoolsInvest resources and make it routine for health care providers to learn about genomicsIncorporate genomics into medical school curricula, continuing medical education courses, and point of care resources, among othersConduct implementation science studies to learn how to effectively integrate genomics into the clinical care of diverse groupsBuild infrastructure outside traditional settingsFunders and institutionsSupport research that strengthens infrastructure outside traditional settingsRecruit and train minority investigators
[158] Unraveling Disparities and Genomic Advances Across Breast Cancer Care — Dr. Regina Hampton shares case studies from her own practice, illustrating how genomic insights have improved patient outcomes in those with breast cancer. Breast cancer research increasingly highlights the role of genomic testing in refining treatment strategies, particularly for African American
[159] Genetic Testing Examples: Common Tests and Their Applications — 2. Cancer Genetic Analysis: WES can also be used to analyze the genetic makeup of cancer cells, allowing for the identification of tumor-specific mutations. This information can help guide targeted therapies and improve patient outcomes. 3.
[161] Drive Better Patient Outcomes With Rapid In-House NGS — Rapid in-house next-generation sequencing (NGS) testing in hospitals enables fast, actionable results in days instead of weeks (1). This allows timely initiation of targeted therapy for cancer, improving patient outcomes and potentially translating into higher survival rates.
[162] The Role of Genetics in Preventive Healthcare — The integration of genetics into preventive healthcare represents a paradigm shift, enabling more precise and effective interventions. Here are several ways genetics is transforming preventive healthcare: Risk Assessment and Stratification. Genetic testing can identify individuals at higher risk for certain diseases based on their genetic profile.
[170] Ethical Issues in Genetics and Infectious Diseases Research: An ... — Research in genetics and infectious diseases (ID) presents novel configurations of ethical, legal, and social issues (ELSIs) related to the intersection of genetics with public health regulations and the control of transmissible diseases. The issue-spotting exercise highlighted the following ELSIs: risks in reporting to government authorities, return of individual research results, and resource allocation – each taking on specific configurations based on the balance between public health and individual privacy/protection. In the current study, the issue-spotting exercise involved the exploration of possible ELSIs by a group of 20 experts from the following fields: public health, law and genomics, biobanking, genetic epidemiology, ID medicine and public health, philosophy, ethics and ID, ethics and genomics, and law and ID.
[172] Ethical Considerations in Research with Genomic Data — We argue that the ongoing success of genomic data research relies on public trust in the enterprise: to justify this trust, we need to ensure robust stewarding, and wide engagement about the ethical issues inherent in such practices.
[173] Defining the Critical Components of Informed Consent for Genetic Testing — Defining the core concepts necessary for informed consent for genetic testing provides a foundation for quality patient care across a variety of healthcare providers and clinical indications.
[174] Genetic Testing Guidelines — One of the primary ethical considerations in genetic testing is the need for appropriate genetic counseling and informed consent. It is crucial that individuals understand the purpose, possible outcomes, and limitations of genetic testing before providing their consent.
[175] Implications of genetic testing and informed consent before and after ... — In this editorial, we seek to explore the process of informed consent of individuals before obtaining genetic testing and offer potential solutions to optimize the informed consent process including categorization of results as well as a layered consent model.
[176] Informed Consent | Genetics Policy Hub — Informed Consent | Genetics Policy Hub Informed Consent Sharing of information, resources, or policy statements is no way an endorsement of stated positions by NCC. Informed consent is a process through which a patient learns about the risks, benefits, and alternatives to medical care, such as a genetic test which most often occurs with health care visits, but also can occur through participation in research trials. As the patient had the option of learning about the possible complications, but chose not to learn about them, has she given informed consent? Organizations working within the genetics community (national genetic organizations, advocacy organizations, etc.) have published positions on informed consent. Genetic Research Informed Consent Genetic Testing Pediatrics Informed Consent https://www.acmg.net/PDFLibrary/Informed-Consent-Genome-Exome-Sequencing.pdf
[178] Research ethics and the challenge of whole-genome sequencing — We have identified three major ethical considerations that must be addressed in research involving human whole-genome sequencing or the acquisition of large amounts of genome sequence data: the circumstances under which research results are disclosed to research participants; the obligations, if any, that are owed to participants’ close genetic relatives; and the options regarding how future uses of samples and data taken for whole-genome sequencing are dealt with. Following this logic, we propose that during the initial informed consent process, investigators conducting human whole-genome sequencing research should discuss the implications for family members and encourage participants to include close genetic relatives in decisions about research participation. During the initial informed consent process, investigators conducting human whole-genome sequencing research should discuss implications for family members and encourage participants to include close genetic relatives in decisions about research participation.
[182] The Ethics of Consent in a Shifting Genomic Ecosystem — The collection and use of human genetic data raise important ethical questions about how to balance individual autonomy and privacy with the potential for public good. The proliferation of local, national, and international efforts to collect genetic data and create linkages to support large-scale i …
[183] Privacy in Genomics - National Human Genome Research Institute — An individual’s privacy should be respected when their genomic information is used for research, clinical applications or other uses. To prevent this, NIH controls access to sensitive or potentially identifiable information in these databases to ensure that researchers who access the data respect the privacy of the research participants (see Genomic Data Sharing Policy below). To prevent this, NIH controls access to sensitive or potentially identifiable information in these databases to ensure that researchers who access the data respect the privacy of the research participants (see Genomic Data Sharing Policy below). The Genetic Information and Nondiscrimination Act of 2008 (GINA) protects the genetic privacy of the public, including research participants. The Genetic Information and Nondiscrimination Act of 2008 (GINA) protects the genetic privacy of the public, including research participants.
[191] Genomics, Cancer Care & Advocacy - NCBI Bookshelf — In the past several decades, oncologists and cancer researchers have come to recognize the importance of the role of advocacy organizations in cancer research and treatment. With genomics poised to become a major force in cancer care, advocacy organizations have an important role to play in traditional areas of concern such as patient education about new genomic technologies. Advocacy
[193] Bridging the Genomic Divide: The Impact of Project GIVE on Underserved ... — The Future of Genomic Care in Underserved Communities. Project GIVE's impact demonstrates that virtual genetics services have the potential to transcend barriers and make healthcare more accessible, particularly for under-resourced and marginalized communities. As the project continues to enroll more pediatric patients, the research team is
[194] Bridging genomics' greatest challenge: The diversity gap - Cell Press — The urgent need for an increase in diverse genomic data also extends to populations who have suffered the consequences of genetic colonialism. 71 Genetic colonialism refers to the exploitation of research participants from marginalized communities, where researchers have often failed to be fully transparent about their research intentions or
[195] Challenges and potential solutions to health disparities in genomic ... — Challenges and potential solutions to health disparities in genomic medicine - ScienceDirect View Open Manuscript Search ScienceDirect Challenges and potential solutions to health disparities in genomic medicine https://doi.org/10.1016/j.cell.2022.05.010Get rights and content Open archive Significant disparities in the clinical usefulness of genomic information across diverse groups are due to underrepresentation in genetic databases and inequitable access to genetic services. Remedying disparities is immediately needed to ensure that genomic medicine is more equitable but will take a long-term commitment and active engagement of diverse communities. Previous article in issue Next article in issue Recommended articles © 2022 Elsevier Inc. Recommended articles No articles found. Cookies are used by this site. For all open access content, the relevant licensing terms apply.
[196] The value of sharing genomic findings with research ethics committees — Genomics is a novel and rapidly evolving research field, and identifying the ethical issues raised by it is not straightforward. Limited understanding of, and expertise in, reviewing genomic research may lead ethics committees to either hamper novel research, or overlook important ethical problems.
[198] A scoping review of genetics and genomics research ethics policies and ... — Genetics and genomics research (GGR) is increasingly being conducted around the world; yet, researchers and research oversight entities in many countries have struggled with ethical challenges. A range of ethics and regulatory issues need to be addressed through comprehensive policy frameworks that integrate with local environments.
[211] PDF — genomics, the Office of Training, Diversity, and Health Equity (TiDHE) hosted the virtual "Future Directions in Genomics and Health Equity Workshop" on . April 6 - 7, 2022. The goal of the workshop was to identify research gaps and opportunities that will help to decrease health disparities and improve health equity in genomics.
[213] A new dawn of the genomic age: five areas set to be transformed in 2023 — A new dawn of the genomic age: five areas set to be transformed in 2023 | pharmaphorum By sequencing genomes of underserved populations, genome banks of people outside Europe and North America will bring new insights into population dynamics, health, and evolution. Advances in genomic sequencing will drive further progress, by enabling researchers to gain insights that were not previously possible because of difficult-to-sequence pseudogenes. Cancer is a disease of the genome, and genomic sequencing will play a central role in allowing us to better understand its complex biology and progression at a molecular level. The combination of advanced long- and short-read genomic sequencing technologies holds great promise for precision oncology, and in the development of mRNA vaccines for certain cancers.
[214] Social, Legal, and Ethical Implications of Genetic Testing — 8Social, Legal, and Ethical Implications of Genetic Testing Each new genetic test that is developed raises serious issues for medicine, public health, and social policy regarding the circumstances under which the test should be used, how the test is implemented, and what uses are made of its results. Should people be allowed to choose or refuse the test, or should it be mandatory, as newborn screening is in some states? If test results are released to third parties such as employers or insurers, what protections should be in place to ensure that people are not treated unfairly because of their genotype? The answers to these questions depend in part on the significance given to four important ethical and legal principles: autonomy, confidentiality, privacy, and equity.
[215] Ethics of Genetics: Exploring the Controversies and Considerations — This advancement in technology presents a moral dilemma for humanity, as it raises a number of ethical questions regarding the privacy and protection of genetic information. As technology continues to advance, it is important to strike a balance between the potential benefits of genetic research and technologies and the ethical considerations they raise. In order to navigate the ethical and social considerations surrounding genetic paternity testing, it is crucial to strike a balance between the individual’s right to access genetic information and the potential impact on all parties involved. Striking a balance between the potential benefits and the moral implications of genetic testing is essential to ensure that the advancements in genetics and reproductive technology are used responsibly and in the best interest of humanity.
[216] A double-edged helix: The ethical consequences of widespread genetic ... — Nevertheless, as genetic testing becomes more widespread, the storage of genetic data presents significant ethical and security challenges, prompting critical questions: Are current storage methods truly capable of safeguarding such sensitive information? Before examining these risks, we must first explore the ethical dilemmas that persist even when genetic testing and data management adhere to the highest security standards. Autonomy ensures that patients give informed consent and fully understand the purpose, benefits, and risks of genetic testing while also maintaining control over which results are disclosed, including unexpected findings. A breach of genetic data could result in unofficial blacklists where high-risk individuals find themselves unable to access essential coverage even if they never develop the disease.
[219] Whole genome sequencing in clinical practice - PMC - PubMed Central (PMC) — The review provides an overview of WGS in clinical practice - describing the technology and current applications as well as challenges connected with data processing, interpretation and clinical reporting. ... Kvarnung M, Nilsson D, Lesko N, et al. Integration of whole genome sequencing into a healthcare setting: high diagnostic rates across
[220] Whole genome sequencing in clinical practice - PubMed — Whole genome sequencing (WGS) is becoming the preferred method for molecular genetic diagnosis of rare and unknown diseases and for identification of actionable cancer drivers. ... The review provides an overview of WGS in clinical practice - describing the technology and current applications as well as challenges connected with data processing
[221] Challenges in the clinical application of whole-genome sequencing — As the cost of sequencing the human genome falls, medical use of whole-genome sequencing will rapidly advance.1 In this Viewpoint, we consider the opportunities and challenges that medicine will face in coping with the foreseeable flood of genomic information. Clinical genetic testing in adults is at present typically done for a few patients who, as a result of family history or clinical
[223] Personal Genomic Information Management and Personalized Medicine ... — Introduction. Personalized medicine utilizes personal medical information to tailor strategies and medications for diagnosing and treating diseases in order to maintain people's health. 1 In this medical practice, physicians combine results from all available patient data (such as symptoms, traditional medical test results, medical history and family history, and certain personal genomic
[224] Healthcare Personalized Medicine With Genomics and AI — With artificial intelligence advancing rapidly, healthcare institutions have an unprecedented opportunity to harness genomic data for precision medicine. Role of AI in Medicine. As genomic sequencing costs decrease, data volumes are increasing. According to the National Human Genome Research Institute, a single WGS exercise generates about 200
[225] The rise of the genome and personalised medicine - PMC — As set out in the Annual report of the Chief Medical Officer 2016: Generation Genome_1 and the recent NHS England board paper _Creating a genomic medicine service to lay the foundations to deliver personalised interventions and treatments,2 the increasing ‘mainstreaming’ of genetic testing into routine practice and plans to embed whole genome sequencing in the NHS mean that the profile and importance of genomics is on the rise for many clinicians. Every human genome contains around 3–5 million genetic variants compared with the reference sequence. Genomic medicine has the capacity to revolutionise the healthcare of an individual with a rare disease or cancer by offering prompt and accurate diagnosis, risk stratification based upon genotype and the capacity for personalised treatments.
[226] Genomics and Health Disparities Lecture Series - National Human Genome ... — The Genomics and Health Disparities Lecture Series was formed to enhance opportunities for dialogue about how innovations in genomics research and technology can impact health disparities. Topics will range from basic science to translational research.
[241] The Benefits of Genetic Testing for Disease Diagnosis and Prevention — Overall, genetic testing plays a crucial role in the field of medicine. It provides valuable information about an individual's genetic makeup, allowing for personalized treatment plans, early disease detection, and prevention strategies.
[242] Genetic Testing for Successful Cancer Treatment - PMC — Abstract Cancer genetic testing is a revolutionary medical approach that involves the assessment of genetic markers in asymptomatic individuals to predict their future susceptibility to cancer. This paradigm shift in early detection and intervention has the potential to profoundly alter our strategies for cancer prevention and treatment. One pivotal area where genetic testing can have a
[246] Next-Generation Sequencing Approaches in Cancer: Where Have They ... — Next-generation sequencing (NGS) technologies and data have revolutionized cancer research and are increasingly being deployed to guide clinicians in treatment decision-making. NGS technologies have allowed us to take an "omics" approach to cancer in order to reveal genomic, transcriptomic, and epigenomic landscapes of individual malignancies.
[247] Clinical Tumor Sequencing: Opportunities and Challenges for Precision ... — Genomic sequencing technologies have enabled identification of actionable targets (e.g., BRAF in melanoma, EGFR in lung cancer) thus facilitating treatment selection beyond what is offered by conventional histopathologic methods (Fig. 1).Although NGS has helped identify genomic alterations and uncover novel targets for therapies, there are several barriers for translating this into clinical
[248] Comprehensive Review on the Clinical Impact of Next-Generation ... — Next-generation sequencing (NGS) assays are rapidly becoming standard in the management of patients with advanced cancer. NGS assays use high-throughput DNA sequencing technology to sequence the entire genome, the whole exome, or exons of selected genes (targeted panels). 1 Some NGS assays use tumor tissue, whereas others use blood; some sequence RNA in addition to DNA; some compare DNA from