Using eQTL weights to improve power for genome-wide association studies: A genetic study of childhood asthma

Frontiers in Genetics

Volumn 4, Issue MAY, 2013, Pages

  Li, Lin ^a,g   Kabesch, Michael ^b   Bouzigon, Emmanuelle ^c,d   Demenais, Florence ^c,d   Farrall, Martin ^e   Moffatt, Miriam F ^f   Lin, Xihong ^a   Liang, Liming ^a  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^b UNIVERSITY HOSPITAL REGENSBURG   (Germany)

^c INSERM   (France)

^d UNIVERSITÉ PARIS DIDEROT   (France)

^e UNIVERSITY OF OXFORD   (United Kingdom)

^f NATIONAL HEART AND LUNG INSTITUTE   (United Kingdom)

^g BioStat Solutions Inc   (United States)

Author keywords

Asthma; Eqtl; False discovery rate; Family wise error rate; Genome wide association study; Weighted hypothesis test

Indexed keywords

EID: 84883494867     PISSN: None     EISSN: 16648021     Source Type: Journal    
DOI: 10.3389/fgene.2013.00103     Document Type: Article

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