ComPaSS-GWAS: A method to reduce type I error in genome-wide association studies when replication data are not available.

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Title: ComPaSS-GWAS: A method to reduce type I error in genome-wide association studies when replication data are not available.
Authors: Sabourin JA; Genometrics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute/National Institutes of Health (NHGRI/NIH), Baltimore, Maryland., Cropp CD; Statistical Genetics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute/National Institutes of Health (NHGRI/NIH), Baltimore, Maryland.; Integrated Cancer Genomics Division, Translational Genomics Research Institute (TGen), Phoenix, Arizona.; McWhorter School of Pharmacy, Samford University, Birmingham, Alabama., Sung H; Genometrics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute/National Institutes of Health (NHGRI/NIH), Baltimore, Maryland., Brody LC; Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute/National Institutes of Health (NHGRI/NIH), Bethesda, Maryland., Bailey-Wilson JE; Statistical Genetics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute/National Institutes of Health (NHGRI/NIH), Baltimore, Maryland., Wilson AF; Genometrics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute/National Institutes of Health (NHGRI/NIH), Baltimore, Maryland.
Source: Genetic epidemiology [Genet Epidemiol] 2019 Feb; Vol. 43 (1), pp. 102-111. Date of Electronic Publication: 2018 Oct 18.
Publication Type: Journal Article; Research Support, N.I.H., Intramural
Journal Info: Publisher: Wiley-Liss Country of Publication: United States NLM ID: 8411723 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1098-2272 (Electronic) Linking ISSN: 07410395 NLM ISO Abbreviation: Genet Epidemiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1098-2272
DOI:10.1002/gepi.22168