Massively Parallel Genetics.
Human genetics has historically depended on the identification of individuals whose natural genetic variation underlies an observable trait or disease risk. Here we argue that new technologies now augment this historical approach by allowing the use of massively parallel assays in model systems to measure the functional effects of genetic variation in many human genes. These studies will help establish the disease risk of both observed and potential genetic variants and to overcome the problem of "variants of uncertain significance."
Department of Genome Sciences and Department of Medicine , University of Washington, Seattle, Washington 98115 shendure@uw.edu fields@uw.edu.
Jay
0000-0002-1516-1865
J
Shendure
Department of Genome Sciences and Department of Medicine , University of Washington, Seattle, Washington 98115 shendure@uw.edu fields@uw.edu.
Stanley
0000-0001-5504-5925
S
Fields
D014644:Genetic Variation; D015894:Genome, Human; D055106:Genome-Wide Association Study / Q000379:methods*; D023281:Genomics / Q000379:methods*; D006801:Humans
DNA; functional assays; genetics; mutations; sequencing