The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Genome-wide association studies for common diseases and complex traits
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Citations
Cites
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Self-citationThe Structure of Haplotype Blocks in the Human Genome
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Self-citationGenomic Control for Association Studies
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Association of the T-cell regulatory gene CTLA4 with susceptibility to autoimmune disease
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Self-citationSearching for genetic determinants in the new millennium
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A comprehensive review of genetic association studies
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Prospects for whole-genome linkage disequilibrium mapping of common disease genes
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Use of Unlinked Genetic Markers to Detect Population Stratification in Association Studies
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Haplotype tagging for the identification of common disease genes
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Blocks of Limited Haplotype Diversity Revealed by High-Resolution Scanning of Human Chromosome 21
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“However, because such studies are still laborious and expensive, they have been largely limited to the coding regions of one or a few candidate genes, such as the small, single-exon melanocortin-4 receptor gene ( MC4R ), variants of which explain a small fraction of cases of severe, early-onset obesit”
BackgroundThe effects of human population structure on large genetic association studies
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The Inherited Basis of Diabetes Mellitus: Implications for the Genetic Analysis of Complex Traits
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Self-citationOnce and Again—Issues Surrounding Replication in Genetic Association Studies
Hirschhorn, J. N., & Altshuler, D. (2002) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2002-021329 · Cited by 181 · cited 1×
“In addition, properly interpreting the results might be challenging, particularly when considering rare non-coding variants (see Ref”
BackgroundSelf-citation
Cited by
PLINK: a tool set for whole-genome association and population-based linkage analyses.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089
Self-citationPrincipal components analysis corrects for stratification in genome-wide association studies
Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. (2006) · Nature Genetics · doi:10.1038/ng1847 · Cited by 10,248
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
The Wellcome Trust Case Control Consortium, Management Committee, Burton, P. R., Clayton, D. G., Cardon, L. R., Craddock, N., Deloukas, P., Duncanson, A., Kwiatkowski, D. P., McCarthy, M. I., et al. (2007) · Nature · doi:10.1038/nature05911 · Cited by 9,442
Saito, T., & Rehmsmeier, M. (2015) · PLOS ONE · doi:10.1371/journal.pone.0118432 · Cited by 5,309
Goh, K.-I., Cusick, M. E., Valle, D., Childs, B., Vidal, M., & Barabási, A.-L. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0701361104 · Cited by 3,242
Metadata
- Authors
- Hirschhorn, J. N., & Daly, M. J.
- Venue
- Nature Reviews Genetics
- Published
- 2005-02
- Volume
- 6
- Issue
- 2
- Pages
- 95-108
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- OpenAlex
- W2066669827
- Cited by
- 2,863
- References
- 23
- FWCI
- 17.27
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
