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Exploring the major sources and extent of heterogeneity in a genome-wide association meta-analysis

Genome-wide association (GWA) meta-analysis has become a popular approach for discovering genetic variants responsible for complex diseases. The between-study heterogeneity effect is a severe issue that may complicate the interpretation of results. Aiming to improve the interpretation of meta-analys...

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Bibliografische gegevens
Gepubliceerd in:Ann Hum Genet
Hoofdauteurs: Pei, Yu-Fang, Tian, Qing, Zhang, Lei, Deng, Hong-Wen
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2015
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4761279/
https://ncbi.nlm.nih.gov/pubmed/26686198
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/ahg.12143
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