Cited by 2,891Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and AnimalsGenetic and phenotypic traits in livestock

Genome-wide association studies for complex traits: consensus, uncertainty and challenges

McCarthy, Mark I., Abecasis, Gonçalo R., Cardon, Lon R., Goldstein, David B., Little, Julian, Ioannidis, John P. A., Hirschhorn, Joel N.·2008·Nature Reviews Genetics

Abstract

The past year has witnessed substantial advances in understanding the genetic basis of many common phenotypes of biomedical importance. These advances have been the result of systematic, well-powered, genome-wide surveys exploring the relationships between common sequence variation and disease predisposition. This approach has revealed over 50 disease-susceptibility loci and has provided insights into the allelic architecture of multifactorial traits. At the same time, much has been learned about the successful prosecution of association studies on such a scale. This Review highlights the knowledge gained, defines areas of emerging consensus, and describes the challenges that remain as researchers seek to obtain more complete descriptions of the susceptibility architecture of biomedical traits of interest and to translate the information gathered into improvements in clinical management.

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Crossref · 10.1038/nrg2344

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  • Most variants identified in GWASs reside outside of coding sequence.

    “As yet, the function of most variants identified in GWASs is unknown, and most of these variants reside outside of coding sequence (9).”
  • Each study was subject to GWAS quality control filters customized taking into account study-specific features and standardized to the HapMap reference panel and statistical genotype imputation.

    “Each study was first subject to GWAS quality control filters (customized taking into account study specific features21 as detailed in Supplementary Table 2) and standardized to the HapMap reference panel and statistical genotype imputation22–25.”

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Authors
McCarthy, M. I., Abecasis, G. R., Cardon, L. R., Goldstein, D. B., Little, J., Ioannidis, J. P. A., & Hirschhorn, J. N.
Affiliations
  • Centre for Human Genetics (GB)
  • University of Michigan (US)
  • Duke University (US)
  • University of Ottawa (CA)
  • Tufts University (US)
  • Broad Institute (US)
Corresponding author
McCarthy, Mark I.
Venue
Nature Reviews Genetics
Published
2008-05
Volume
9
Issue
5
Pages
356-369
ISSN
  • 1471-0056 (ISSN-L)
  • 1471-0064
OpenAlex
W2041467022
Cited by
2,891
References
128
Citations by year
2026: 38 · 2025: 57 · 2024: 90 · 2023: 68 · 2022: 61 · 2021: 85 · 2020: 94 · 2019: 129 · 2018: 127 · 2017: 160 · 2016: 170 · 2015: 171 · 2014: 200 · 2013: 235 · 2012: 257
FWCI
29.53
Type
journal article
Language
en
Open access
closed
Locations
  • Nature Reviews Genetics (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
Keywords
genome-wide association study, complex traits, disease susceptibility loci, multifactorial traits, common diseases, genetic basis of disease, clinical translation
MeSH terms
Alleles, Animals, Humans, Genetic Variation, Genome, Human, Quantitative Trait, Heritable, Genetic Predisposition to Disease, Genetic Diseases, Inborn, Quantitative Trait Loci

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