Effect of non-normality and low count variants on cross-phenotype association tests in GWAS
Author:
Funder
U.S. Department of Health & Human Services | NIH | NIH Office of the Director
Publisher
Springer Science and Business Media LLC
Subject
Genetics(clinical),Genetics
Link
http://www.nature.com/articles/s41431-019-0514-2.pdf
Reference54 articles.
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2. Heid IM, Winkler TW. A multitrait GWAS sheds light on insulin resistance. Nat Genet. 2016;49:7–8.
3. Liang J, Le TH, Edwards DRV, Tayo BO, Gaulton KJ, Smith JA, et al. Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations. PLoS Genet. 2017;13:e1006728.
4. Shen X, Klaric L, Sharapov S, Mangino M, Ning Z, Wu D, et al. Multivariate discovery and replication of five novel loci associated with Immunoglobulin G N-glycosylation. Nat Commun. 2017;8:447. https://www.nature.com/articles/s41467-017-00453-3
5. Hill WD, Marioni RE, Maghzian O, Ritchie SJ, Hagenaars SP, McIntosh AM, et al. A combined analysis of genetically correlated traits identifies 187 loci and a role for neurogenesis and myelination in intelligence. Mol Psychiatry. 2019;24:169–81.
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