GWIS: Genome-Wide Inferred Statistics for Functions of Multiple Phenotypes
Here we present a method of genome-wide inferred study (GWIS) that provides an approximation of genome-wide association study (GWAS) summary statistics for a variable that is a function of phenotypes for which GWAS summary statistics, phenotypic means, and covariances are available. A GWIS can be performed regardless of sample overlap between the GWAS of the phenotypes on which the function depends. Because a GWIS provides association estimates and their standard errors for each SNP, a GWIS can form the basis for polygenic risk scoring, LD score regression, Mendelian randomization studies, bio... Mehr ...
Verfasser: | |
---|---|
Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2016 |
Reihe/Periodikum: | Nieuwboer , H A , Pool , R , Dolan , C V , Boomsma , D I & Nivard , M G 2016 , ' GWIS: Genome-Wide Inferred Statistics for Functions of Multiple Phenotypes ' , American Journal of Human Genetics , vol. 99 , no. 4 , pp. 917-927 . https://doi.org/10.1016/j.ajhg.2016.07.020 |
Schlagwörter: | /dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_ / name=Netherlands Twin Register (NTR) / /dk/atira/pure/sustainabledevelopmentgoals/quality_education / name=SDG 4 - Quality Education |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-29212221 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://research.vu.nl/en/publications/96223a17-8205-4bd4-a33f-6c2054a4e42e |