Chapter 11: Genome-Wide Association Studies
Author(s) -
William S. Bush,
Jason H. Moore
Publication year - 2012
Publication title -
plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1002822
Subject(s) - genome wide association study , genetic association , genetic architecture , computational biology , genome , data science , biology , computer science , genetics , single nucleotide polymorphism , quantitative trait locus , genotype , gene
Genome-wide association studies (GWAS) have evolved over the last ten years into a powerful tool for investigating the genetic architecture of human disease. In this work, we review the key concepts underlying GWAS, including the architecture of common diseases, the structure of common human genetic variation, technologies for capturing genetic information, study designs, and the statistical methods used for data analysis. We also look forward to the future beyond GWAS.
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