Discovering genetic interactions bridging pathways in genome-wide association studies

Genetic interactions have been reported to underlie phenotypes in a variety of systems, but the extent to which they contribute to complex disease in humans remains unclear. In principle, genome-wide association studies (GWAS) provide a platform for detecting genetic interactions, but existing metho...

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Veröffentlicht in:	Nature communications Jg. 10; H. 1; S. 4274 - 18
Hauptverfasser:	Fang, Gang, Wang, Wen, Paunic, Vanja, Heydari, Hamed, Costanzo, Michael, Liu, Xiaoye, Liu, Xiaotong, VanderSluis, Benjamin, Oately, Benjamin, Steinbach, Michael, Van Ness, Brian, Schadt, Eric E., Pankratz, Nathan D., Boone, Charles, Kumar, Vipin, Myers, Chad L.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 19.09.2019 Nature Publishing Group Nature Portfolio
Schlagworte:	45/43 631/114 631/208/205 631/208/2490 631/553/2490 Breast cancer Breast Neoplasms - genetics Computer applications Data processing Diabetes mellitus Diabetes mellitus (non-insulin dependent) Diabetes Mellitus, Type 2 - genetics Disease Female Gene mapping Gene Regulatory Networks - genetics Genes Genetic Predisposition to Disease - genetics Genome-wide association studies Genome-Wide Association Study - statistics & numerical data Genomes Genotype & phenotype Genotypes Humanities and Social Sciences Humans Hypertension Hypertension - genetics Identification methods Male Mapping Mental disorders Methods Models, Genetic Movement disorders multidisciplinary Mutation Neurodegenerative diseases Parkinson's disease Parkinsonian Disorders - genetics Phenotypes Polymorphism, Single Nucleotide - genetics Prostate cancer Prostatic Neoplasms - genetics Proteins Schizophrenia Schizophrenia - genetics Science Science (multidisciplinary) Statistical power Zebrafish
ISSN:	2041-1723, 2041-1723
Online-Zugang:	Volltext
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