GUESS-ing Polygenic Associations with Multiple Phenotypes Using a GPU-Based Evolutionary Stochastic Search Algorithm

GUESS-ing Polygenic Associations with Multiple Phenotypes Using a GPU-Based Evolutionary Stochastic Search Algorithm

Genome-wide association studies (GWAS) yielded significant advances in defining the genetic architecture of complex traits and disease. Still, a major hurdle of GWAS is narrowing down multiple genetic associations to a few causal variants for functional studies. This becomes critical in multi-phenot...

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Hlavní autoři: Leonardo Bottolo, Marc Chadeau‐Hyam, David I. Hastie, Tanja Zeller, Benoît Liquet, Paul J. Newcombe, Loïc Yengo, Philipp S. Wild, Arne Schillert, Andreas Ziegler, Sune F. Nielsen, Adam S. Butterworth, Weang-Kee Ho, Raphaële Castagné, Thomas Münzel, David‐Alexandre Trégouët, Mario Falchi, François Cambien, Børge G. Nordestgaard, Frédéric Fumeron, Anne Tybjærg‐Hansen, Philippe Froguel, John Danesh, Enrico Petretto, Stefan Blankenberg, Laurence Tiret, Sylvia Richardson
Médium: Artigo
Jazyk:angličtina
Vydáno: 2013
On-line přístup:https://doi.org/10.1371/journal.pgen.1003657
https://journals.plos.org/plosgenetics/article/file?id=10.1371/journal.pgen.1003657&type=printable
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https://doi.org/10.1371/journal.pgen.1003657
https://journals.plos.org/plosgenetics/article/file?id=10.1371/journal.pgen.1003657&type=printable

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