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Chapter 11: Genome-Wide Association Studies

PLoS Computational Biology · 2012 · Vol. 8(12) · pp. e1002822–e1002822
William S. BushJason H. Moore

Abstract

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.

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and AnimalsGene expression and cancer classificationGenome-wide association studyGenetic associationGenetic architectureComputational biologyGenomeData scienceBiologyComputer scienceGeneticsSingle-nucleotide polymorphism

MeSH terms

HaplotypesHumansGenetic LinkagePhenotypeGenetic VariationGenome-Wide Association StudyElectronic Health Records

Funding

  • National Institutes of Health
  • National Human Genome Research Institute
  • National Cancer Institute
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Cited by
Benefits and limitations of genome-wide association studies
Nature Reviews Genetics · 2019 · 2,137 citations
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