Meta-Analysis for Penalized Regression Methods with Multi-Cohort Genome-Wide Association Studies
نویسندگان
چکیده
منابع مشابه
Penalized Multi-Marker versus Single-Marker Regression Methods for Genome-Wide Association Studies of Quantitative Traits
Hui Yi*,§, Patrick Breheny†, Netsanet Imam*, Yongmei Liu** and Ina Hoeschele*,‡ * Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA 24061, USA § PhD Program in Genetics, Bioinformatics and Computational Biology, Virginia Tech, Blacksburg, VA 24061, USA † Department of Biostatistics, University of Iowa, Iowa City, IA 52240, USA **Departments of Epidemiology & Prevention and Intern...
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The data from genome-wide association studies (GWAS) in humans are still predominantly analyzed using single-marker association methods. As an alternative to single-marker analysis (SMA), all or subsets of markers can be tested simultaneously. This approach requires a form of penalized regression (PR) as the number of SNPs is much larger than the sample size. Here we review PR methods in the co...
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ژورنال
عنوان ژورنال: Human Heredity
سال: 2016
ISSN: 0001-5652,1423-0062
DOI: 10.1159/000447969