JAMA Network Open · 2023 · 189 citations · 30 references
This cohort study of approximately 1.6 million individuals highlighted the need for better methods for interpreting missense variants, increased availability of clinical and experimental evidence for variant classification, and more diverse representation of race, ethnicity, and ancestry groups in genomic databases. Data from this study could provide a sound basis for understanding the sources and resolution of VUSs and navigating appropriate next steps in patient care.
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Sue Richards, Nazneen Aziz, Sherri J. Bale et al. · Genetics in Medicine · 2015 · 30.5K citations · Full text
REVEL: An Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants
Nilah M. Ioannidis, Joseph H. Rothstein, Vikas Pejaver et al. · The American Journal of Human Genetics · 2016 · 2.8K citations · Full text
Genome-wide Association Study, Allelic Variant, Genotype-phenotype Association +14
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Observational Cohort Studies, Education, Health Disparities +22
The Missing Diversity in Human Genetic Studies
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Sherloc: a comprehensive refinement of the ACMG–AMP variant classification criteria
Keith Nykamp, Michael J. Anderson, Martin P. Powers et al. · Genetics in Medicine · 2017 · 722 citations · Full text