Trans-ethnic meta-regression of genome-wide association studies accounting for ancestry increases power for discovery and improves fine-mapping resolution

Human Molecular Genetics

Volumn 26, Issue 18, 2017, Pages 3639-3650

  Mägi, Reedik ^a   Horikoshi, Momoko ^b,c   Sofer, Tamar ^d   Mahajan, Anubha ^b   Kitajima, Hidetoshi ^b   Franceschini, Nora ^e   McCarthy, Mark I ^b,f,g   Morris, Andrew P ^a,b,h  

^a UNIVERSITY OF TARTU   (Estonia)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c RIKEN Center for Integrative Medical Sciences   (Japan)

^d UNIVERSITY OF WASHINGTON   (United States)

^e IL   (United States)

^f UNIVERSITY OF OXFORD   (United Kingdom)

^g OXFORD UNIVERSITY HOSPITALS NHS FOUNDATION TRUST   (United Kingdom)

^h UNIVERSITY OF LIVERPOOL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ANCESTRY GROUP; ARTICLE; ETHNIC GROUP; FALSE POSITIVE RESULT; GENE FREQUENCY; GENE LOCUS; GENE MAPPING; GENETIC SUSCEPTIBILITY; GENETIC VARIATION; GENOME-WIDE ASSOCIATION STUDY; HUMAN; KIDNEY FUNCTION; LINEAR REGRESSION ANALYSIS; NON INSULIN DEPENDENT DIABETES MELLITUS; POPULATION GENETICS; PRIORITY JOURNAL; REGRESSION ANALYSIS; ALLELE; CAUCASIAN; DNA SEQUENCE; GENE LINKAGE DISEQUILIBRIUM; GENETICS; META ANALYSIS; PROCEDURES; SINGLE NUCLEOTIDE POLYMORPHISM; SOFTWARE;

ALLELES; DIABETES MELLITUS, TYPE 2; ETHNIC GROUPS; EUROPEAN CONTINENTAL ANCESTRY GROUP; GENE FREQUENCY; GENOME-WIDE ASSOCIATION STUDY; HUMANS; LINKAGE DISEQUILIBRIUM; POLYMORPHISM, SINGLE NUCLEOTIDE; SEQUENCE ANALYSIS, DNA; SOFTWARE;

EID: 85040673553     PISSN: 09646906     EISSN: 14602083     Source Type: Journal    
DOI: 10.1093/hmg/ddx280     Document Type: Article

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