Massively Parallel Genetics | Zendy

Jay Shendure | Zendy; Stanley Fields | Zendy

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Massively Parallel Genetics

Author(s) -

Jay Shendure,

Stanley Fields

Publication year - 2016

Publication title -

genetics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.792

H-Index - 246

eISSN - 1943-2631

pISSN - 0016-6731

DOI - 10.1534/genetics.115.180562

Subject(s) - biology , massively parallel , identification (biology) , genetics , trait , genetic variation , human genetics , disease , variation (astronomy) , human disease , computational biology , gene , evolutionary biology , computer science , medicine , botany , physics , pathology , parallel computing , astrophysics , programming language

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."

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