Prospective functional classification of all possible missense variants in PPARG.
Prospective functional classification of all possible missense variants in PPARG.
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DOI:
10.1038/ng.3700
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发表时间:
2016-12
期刊:
影响因子:
30.8
通讯作者:
Altshuler, David
中科院分区:
文献类型:
--
作者:
Majithia, Amit R.;Tsuda, Ben;Agostini, Maura;Gnanapradeepan, Keerthana;Rice, Robert;Peloso, Gina;Patel, Kashyap A.;Zhang, Xiaolan;Broekema, Marjoleine F.;Patterson, Nick;Duby, Marc;Sharpe, Ted;Kalkhoven, Eric;Rosen, Evan D.;Barroso, Ines;Ellard, Sian;Kathiresan, Sekar;O'Rahilly, Stephen;Chatterjee, Krishna;Florez, Jose C.;Mikkelsen, Tarjei;Savage, David B.;Altshuler, David
Clinical exome sequencing routinely identifies missense variants in disease-related genes, but functional characterization is rarely undertaken, leading to diagnostic uncertainty. For example, mutations in PPARG cause Mendelian lipodystrophy and increase risk of type 2 diabetes (T2D). While approximately one in 500 people harbor missense variants in PPARG, most are of unknown consequence. To prospectively characterize PPARγ variants we used highly parallel oligonucleotide synthesis to construct a library encoding all 9,595 possible single amino acid substitutions. We developed a pooled functional assay in human macrophages, experimentally evaluated all protein variants, and used the experimental data to train a variant classifier by supervised machine learning (http://miter.broadinstitute.org). When applied to 55 novel missense variants identified in population-based and clinical sequencing, the classifier annotated six as pathogenic; these were subsequently validated by single-variant assays. Saturation mutagenesis and prospective experimental characterization can support immediate diagnostic interpretation of newly discovered missense variants in disease-related genes.
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DOI:
10.1126/science.1219240
发表时间:
2012-07-06
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Tennessen JA;Bigham AW;O'Connor TD;Fu W;Kenny EE;Gravel S;McGee S;Do R;Liu X;Jun G;Kang HM;Jordan D;Leal SM;Gabriel S;Rieder MJ;Abecasis G;Altshuler D;Nickerson DA;Boerwinkle E;Sunyaev S;Bustamante CD;Bamshad MJ;Akey JM;Broad GO;Seattle GO;NHLBI Exome Sequencing Project
通讯作者:
NHLBI Exome Sequencing Project
影响因子:
48
作者:
Fowler, Douglas M.;Fields, Stanley
通讯作者:
Fields, Stanley
DOI:
10.1056/nejmoa1405386
发表时间:
2014-11-27
期刊:
The New England journal of medicine
影响因子:
--
作者:
Myocardial Infarction Genetics Consortium Investigators;Stitziel NO;Won HH;Morrison AC;Peloso GM;Do R;Lange LA;Fontanillas P;Gupta N;Duga S;Goel A;Farrall M;Saleheen D;Ferrario P;König I;Asselta R;Merlini PA;Marziliano N;Notarangelo MF;Schick U;Auer P;Assimes TL;Reilly M;Wilensky R;Rader DJ;Hovingh GK;Meitinger T;Kessler T;Kastrati A;Laugwitz KL;Siscovick D;Rotter JI;Hazen SL;Tracy R;Cresci S;Spertus J;Jackson R;Schwartz SM;Natarajan P;Crosby J;Muzny D;Ballantyne C;Rich SS;O'Donnell CJ;Abecasis G;Sunaev S;Nickerson DA;Buring JE;Ridker PM;Chasman DI;Austin E;Kullo IJ;Weeke PE;Shaffer CM;Bastarache LA;Denny JC;Roden DM;Palmer C;Deloukas P;Lin DY;Tang ZZ;Erdmann J;Schunkert H;Danesh J;Marrugat J;Elosua R;Ardissino D;McPherson R;Watkins H;Reiner AP;Wilson JG;Altshuler D;Gibbs RA;Lander ES;Boerwinkle E;Gabriel S;Kathiresan S
通讯作者:
Kathiresan S
影响因子:
30.8
作者:
Flannick J;Beer NL;Bick AG;Agarwala V;Molnes J;Gupta N;Burtt NP;Florez JC;Meigs JB;Taylor H;Lyssenko V;Irgens H;Fox E;Burslem F;Johansson S;Brosnan MJ;Trimmer JK;Newton-Cheh C;Tuomi T;Molven A;Wilson JG;O'Donnell CJ;Kathiresan S;Hirschhorn JN;Njølstad PR;Rolph T;Seidman JG;Gabriel S;Cox DR;Seidman CE;Groop L;Altshuler D
通讯作者:
Altshuler D
影响因子:
3.3
作者:
Starita, Lea M.;Young, David L.;Fields, Stanley
通讯作者:
Fields, Stanley