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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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| 出版年: | Ann Hum Genet |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2015
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| 主題: | |
| オンライン･アクセス: | 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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