Estimation of the multiple testing burden for genomewide association studies of nearly all common variants - PubMed (original) (raw)
Estimation of the multiple testing burden for genomewide association studies of nearly all common variants
Itsik Pe'er et al. Genet Epidemiol. 2008 May.
Abstract
Genomewide association studies are an exciting strategy in genetics, recently becoming feasible and harvesting many novel genes linked to multiple phenotypes. Determining the significance of results in the face of testing a genomewide set of multiple hypotheses, most of which are producing noisy, null-distributed association signals, presents a challenge to the wide community of association researchers. Rather than each study engaging in independent evaluation of significance standards, we have undertaken the task of developing such standards for genomewide significance, based on data collected by the International Haplotype Map Consortium. We report an estimated testing burden of a million independent tests genomewide in Europeans, and twice that number in Africans. We further identify the sensitivity of the testing burden to the required significance level, with implications to staged design of association studies.
Similar articles
- A multiple testing correction method for genetic association studies using correlated single nucleotide polymorphisms.
Gao X, Starmer J, Martin ER. Gao X, et al. Genet Epidemiol. 2008 May;32(4):361-9. doi: 10.1002/gepi.20310. Genet Epidemiol. 2008. PMID: 18271029 - Genome scans of facial features in East Africans and cross-population comparisons reveal novel associations.
Liu C, Lee MK, Naqvi S, Hoskens H, Liu D, White JD, Indencleef K, Matthews H, Eller RJ, Li J, Mohammed J, Swigut T, Richmond S, Manyama M, HallgrÃmsson B, Spritz RA, Feingold E, Marazita ML, Wysocka J, Walsh S, Shriver MD, Claes P, Weinberg SM, Shaffer JR. Liu C, et al. PLoS Genet. 2021 Aug 19;17(8):e1009695. doi: 10.1371/journal.pgen.1009695. eCollection 2021 Aug. PLoS Genet. 2021. PMID: 34411106 Free PMC article. - Efficient computation of significance levels for multiple associations in large studies of correlated data, including genomewide association studies.
Dudbridge F, Koeleman BP. Dudbridge F, et al. Am J Hum Genet. 2004 Sep;75(3):424-35. doi: 10.1086/423738. Epub 2004 Jul 19. Am J Hum Genet. 2004. PMID: 15266393 Free PMC article. - Mapping of disease-associated variants in admixed populations.
Shriner D, Adeyemo A, Ramos E, Chen G, Rotimi CN. Shriner D, et al. Genome Biol. 2011;12(5):223. doi: 10.1186/gb-2011-12-5-223. Epub 2011 May 30. Genome Biol. 2011. PMID: 21635713 Free PMC article. Review. - Missing data imputation and haplotype phase inference for genome-wide association studies.
Browning SR. Browning SR. Hum Genet. 2008 Dec;124(5):439-50. doi: 10.1007/s00439-008-0568-7. Epub 2008 Oct 11. Hum Genet. 2008. PMID: 18850115 Free PMC article. Review.
Cited by
- Comparing performances of different statistical models and multiple threshold methods in a nested association mapping population of wheat.
Sandhu KS, Burke AB, Merrick LF, Pumphrey MO, Carter AH. Sandhu KS, et al. Front Plant Sci. 2024 Oct 1;15:1460353. doi: 10.3389/fpls.2024.1460353. eCollection 2024. Front Plant Sci. 2024. PMID: 39416483 Free PMC article. - Causal associations and shared genetic etiology of neurodegenerative diseases with epigenetic aging and human longevity.
Guo Y, Ma G, Wang Y, Lin T, Hu Y, Zang T. Guo Y, et al. Aging Cell. 2024 Nov;23(11):e14271. doi: 10.1111/acel.14271. Epub 2024 Sep 19. Aging Cell. 2024. PMID: 39300745 Free PMC article. - GWAS Enhances Genomic Prediction Accuracy of Caviar Yield, Caviar Color and Body Weight Traits in Sturgeons Using Whole-Genome Sequencing Data.
Song H, Dong T, Wang W, Yan X, Geng C, Bai S, Hu H. Song H, et al. Int J Mol Sci. 2024 Sep 9;25(17):9756. doi: 10.3390/ijms25179756. Int J Mol Sci. 2024. PMID: 39273703 Free PMC article. - Human genetics and epigenetics of alcohol use disorder.
Zhou H, Gelernter J. Zhou H, et al. J Clin Invest. 2024 Aug 15;134(16):e172885. doi: 10.1172/JCI172885. J Clin Invest. 2024. PMID: 39145449 Free PMC article. Review. - Genome-wide association study on meningioma risk in Japan: a multicenter prospective study.
Yamada S, Umehara T, Sonehara K, Kijima N, Kawabata S, Takano K, Kidani T, Hirayama R, Arita H, Okita Y, Kinoshita M, Kagawa N, Fujinaka T, Fujita T, Wakayama A; Biobank Japan Project; Matsuda K, Okada Y, Kishima H. Yamada S, et al. J Neurooncol. 2024 Sep;169(2):281-286. doi: 10.1007/s11060-024-04727-x. Epub 2024 Jul 13. J Neurooncol. 2024. PMID: 39002029 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources