An integrative tissue-network approach to identify and test human disease genes.
An integrative tissue-network approach to identify and test human disease genes.
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DOI:
10.1038/nbt.4246
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发表时间:
2018-10-22
影响因子:
46.9
通讯作者:
Troyanskaya OG
中科院分区:
文献类型:
--
作者:
Yao V;Kaletsky R;Keyes W;Mor DE;Wong AK;Sohrabi S;Murphy CT;Troyanskaya OG
Effective discovery of causal disease genes must overcome the statistical challenges of quantitative genetics studies and the practical limitations of human biology experiments. Here we developed diseaseQUEST, an integrative approach that combines data from human genome-wide disease studies with in silico network models of tissue- and cell-type-specific function in model organisms to prioritize candidates within functionally conserved processes and pathways. We used diseaseQUEST to predict candidate genes for 25 different diseases and traits, including cancer, longevity, and neurodegenerative diseases. Focusing on Parkinson’s disease (PD), a diseaseQUEST-directed Caenhorhabditis elegans behavioral screen identified several candidate genes, which we experimentally verified and found to be associated with age-dependent motility defects mirroring PD clinical symptoms. Furthermore, knockdown of the top candidate gene, bcat-1, encoding a branched chain amino acid transferase, caused spasm-like ‘curling’ and neurodegeneration in C. elegans, paralleling decreased BCAT1 expression in PD patient brains. diseaseQUEST is modular and generalizable to other model organisms and human diseases of interest.
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影响因子:
14.9
作者:
Harris TW;Baran J;Bieri T;Cabunoc A;Chan J;Chen WJ;Davis P;Done J;Grove C;Howe K;Kishore R;Lee R;Li Y;Muller HM;Nakamura C;Ozersky P;Paulini M;Raciti D;Schindelman G;Tuli MA;Van Auken K;Wang D;Wang X;Williams G;Wong JD;Yook K;Schedl T;Hodgkin J;Berriman M;Kersey P;Spieth J;Stein L;Sternberg PW
通讯作者:
Sternberg PW
影响因子:
5.8
作者:
Huttenhower, Curtis;Schroeder, Mark;Troyanskaya, Olga G.
通讯作者:
Troyanskaya, Olga G.
影响因子:
4.5
作者:
Gelino S;Chang JT;Kumsta C;She X;Davis A;Nguyen C;Panowski S;Hansen M
通讯作者:
Hansen M
影响因子:
14.9
作者:
Bailey TL;Boden M;Buske FA;Frith M;Grant CE;Clementi L;Ren J;Li WW;Noble WS
通讯作者:
Noble WS
影响因子:
4.6
作者:
Bournele, Despina;Beis, Dimitris
通讯作者:
Beis, Dimitris