Genetics and Molecular Biology · 2022 · 36 citations · 169 references
Life SciencesGeneticsMolecular GeneticsEpigeneticsGenomicsMetagenomicsDna Methylation ProfilingDna SequencingHaplotype AnalysisNext-generation SequencingVariant AnalysisVariant DetectionDna Methylation PatternsDna Sequence AnalysisGenetic PolymorphismsIndividual IdentificationMonozygotic TwinsMultiplex SequencingMultiplexed SequencingParallel Sequencing
Massively parallel sequencing, also referred to as next-generation sequencing, has positively changed DNA analysis, allowing further advances in genetics. Its capability of dealing with low quantity/damaged samples makes it an interesting instrument for forensics. The main advantage of MPS is the possibility of analyzing simultaneously thousands of genetic markers, generating high-resolution data. Its detailed sequence information allowed the discovery of variations in core forensic short tandem repeat loci, as well as the identification of previous unknown polymorphisms. Furthermore, different types of markers can be sequenced in a single run, enabling the emergence of DIP-STRs, SNP-STR haplotypes, and microhaplotypes, which can be very useful in mixture deconvolution cases. In addition, the multiplex analysis of different single nucleotide polymorphisms can provide valuable information about identity, biogeographic ancestry, paternity, or phenotype. DNA methylation patterns, mitochondrial DNA, mRNA, and microRNA profiling can also be analyzed for different purposes, such as age inference, maternal lineage analysis, body-fluid identification, and monozygotic twin discrimination. MPS technology also empowers the study of metagenomics, which analyzes genetic material from a microbial community to obtain information about individual identification, post-mortem interval estimation, geolocation inference, and substrate analysis. This review aims to discuss the main applications of MPS in forensic genetics.
169
A global reference for human genetic variation
Richard Durbin, Peter Donnelly, Paul Flicek et al. · Nature · 2015 · 20K citations · Full text
An integrated map of genetic variation from 1,092 human genomes
DNA methylation age of human tissues and cell types
Steve Horvath · Genome biology · 2013 · 7.3K citations · Full text
Genome-wide Methylation Profiles Reveal Quantitative Views of Human Aging Rates
Gregory Hannum, Justin Guinney, Ling Zhao et al. · Molecular Cell · 2012 · 4.5K citations · Full text