The DOI matches its Crossref record; 217 of the 218 references it cites were found in a registry or an index.
Five Years of GWAS Discovery
Open accessAbstract
The past five years have seen many scientific and biological discoveries made through the experimental design of genome-wide association studies (GWASs). These studies were aimed at detecting variants at genomic loci that are associated with complex traits in the population and, in particular, at detecting associations between common single-nucleotide polymorphisms (SNPs) and common diseases such as heart disease, diabetes, auto-immune diseases, and psychiatric disorders. We start by giving a number of quotes from scientists and journalists about perceived problems with GWASs. We will then briefly give the history of GWASs and focus on the discoveries made through this experimental design, what those discoveries tell us and do not tell us about the genetics and biology of complex traits, and what immediate utility has come out of these studies. Rather than giving an exhaustive review of all reported findings for all diseases and other complex traits, we focus on the results for auto-immune diseases and metabolic diseases. We return to the perceived failure or disappointment about GWASs in the concluding section.
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In the citing paper
“This lack of positive results from GWAS is most likely due to low statistical power to detect small effects”
From Genome-Wide Association Studies of a Broad Spectrum of Antisocial Behavior (2017) · cites this paper as Visscher, Brown, McCarthy, & Yang, 2012
In the citing paper
“Many of the gene variants identified in GWAS are located in non-coding regions of DNA [92].”
From Polycystic Ovary Syndrome: An Evolutionary Adaptation to Lifestyle and the Environment (2022) · cites this paper as [92]
In the citing paper
“The genes or functional DNA elements through which these variants exert their effects are often unknown.”
From Polycystic Ovary Syndrome: An Evolutionary Adaptation to Lifestyle and the Environment (2022) · cites this paper as [92]
In the citing paper
“Indeed, the large-scale impact of large numbers of common variants may be a general feature of human complex traits 70–77”
From Genetic architectures of psychiatric disorders: the emerging picture and its implications (2012) · cites this paper as [71]
In the citing paper
“Hypothesized genetic architectures consisting entirely of rare variants are inconsistent with the data for AD, ASD, BIP, and SCZ (as well as for multiple other complex biomedical diseases). 70–77”
From Genetic architectures of psychiatric disorders: the emerging picture and its implications (2012) · cites this paper as [71]
In the citing paper
“Evidence from many complex traits show that the number of variants discovered is strongly correlated with experimental sample size.51”
From Defining Future Directions for Endometriosis Research: Workshop Report From the 2011 World Congress of Endometriosis in Montpellier, France (2013) · cites this paper as [51]
In the citing paper
“Above a given threshold for each disease, doubling study size doubles the number of genes or regions identified.”
From Defining Future Directions for Endometriosis Research: Workshop Report From the 2011 World Congress of Endometriosis in Montpellier, France (2013) · cites this paper as [51]
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Metadata
- Authors
- Visscher, P. M., Brown, M. A., McCarthy, M. I., & Yang, J.
- Affiliations
- The University of Queensland (AU)
- Centre for Human Genetics (GB)
- QIMR Berghofer Medical Research Institute (AU)
- Corresponding author
- Visscher, Peter M.
- Venue
- The American Journal of Human Genetics
- Publisher
- Elsevier BV
- Published
- 2012-01
- Volume
- 90
- Issue
- 1
- Pages
- 7-24
- ISSN
- 0002-9297 (ISSN-L)
- PMC
- PMC3257326
- OpenAlex
- W2163924952
- Cited by
- 2,425
- References
- 218
- Citations by year
- 2026: 52 · 2025: 97 · 2024: 120 · 2023: 130 · 2022: 133 · 2021: 154 · 2020: 176 · 2019: 166 · 2018: 181 · 2017: 246 · 2016: 259 · 2015: 250 · 2014: 196 · 2013: 178 · 2012: 81
- FWCI
- 27.66
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- The American Journal of Human Genetics (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion)
- Funders
- Wellcome Trust (090532)
- Australian Research Council
- National Health and Medical Research Council
- National Medical Research Council
- 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, single nucleotide polymorphisms, complex traits, autoimmune disease, metabolic disorders, heart disease, diabetes mellitus, mental illness, genetic association
- MeSH terms
- Autoimmune Diseases, Female, Humans, Genetic Linkage, Male, Metabolic Diseases, Genetic Predisposition to Disease, History, 21st Century, Genome-Wide Association Study, Genetic Loci, Translational Research, Biomedical
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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