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Title:

Meta-analysis of gene-level associations for rare variants based on single-variant statistics.

Document type:
journal article
Author(s):
Hu, Yi-Juan; Berndt, Sonja I; Gustafsson, Stefan; Ganna, Andrea; Genetic Investigation of ANthropometric Traits (GIANT) Consortium; Hirschhorn, Joel; North, Kari E; Ingelsson, Erik; Lin, Dan-Yu; Berndt, Sonja I; Gustafsson, Stefan; Mägi, Reedik; Ganna, Andrea; Wheeler, Eleanor; Feitosa, Mary F; Justice, Anne E; Monda, Keri L; Croteau-Chonka, Damien C; Day, Felix R; Esko, Tõnu; Fall, Tove; Ferreira, Teresa; Gentilini, Davide; Jackson, Anne U; Luan, Jian'an; Randall, Joshua C; Vedantam, Sailaja; W...     »
Abstract:
Meta-analysis of genome-wide association studies (GWASs) has led to the discoveries of many common variants associated with complex human diseases. There is a growing recognition that identifying "causal" rare variants also requires large-scale meta-analysis. The fact that association tests with rare variants are performed at the gene level rather than at the variant level poses unprecedented challenges in the meta-analysis. First, different studies may adopt different gene-level tests, so the r...     »
Journal title abbreviation:
Am J Hum Genet
Year:
2013
Journal volume:
93
Journal issue:
2
Pages contribution:
236-48
Language:
eng
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/23891470
Print-ISSN:
0002-9297
TUM Institution:
Klinik für Herz- und Kreislauferkrankungen
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