4.7 Article

Quality control and conduct of genome-wide association meta-analyses

期刊

NATURE PROTOCOLS
卷 9, 期 5, 页码 1192-1212

出版社

NATURE PORTFOLIO
DOI: 10.1038/nprot.2014.071

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资金

  1. grants from the German Federal Ministry of Education and Research (BMBF) [01ER1206]
  2. Leenaards Foundation
  3. Swiss National Science Foundation [31003A-143914]
  4. US National Institutes of Health [DK078150, T32 HL007427, R01DK075787]
  5. UK Medical Research Council [U106179471, U106179472]
  6. European Research Council [SZ-245 50371-GLUCOSEGENES-FP7-IDEAS-ERC]
  7. Targeted Financing from the Estonian Ministry of Science and Education [SF0180142s08]
  8. University of Tartu
  9. European Regional Development Fund [3.2.0304.11-0312]
  10. FP7 [313010]
  11. ESRC [ES/J023299/1] Funding Source: UKRI
  12. MRC [MR/J012165/1, MC_UU_12015/1, MC_UU_12015/2, MR/K013351/1, MC_U106179472] Funding Source: UKRI
  13. Cancer Research UK [14136] Funding Source: researchfish
  14. Chief Scientist Office [CZB/4/672] Funding Source: researchfish
  15. Economic and Social Research Council [ES/J023299/1] Funding Source: researchfish
  16. Medical Research Council [MC_UU_12015/1, MC_UU_12015/2, G1000143, MC_U106179472, MR/J012165/1, MR/K013351/1, G0401527, MC_U106179471] Funding Source: researchfish
  17. National Institute for Health Research [NF-SI-0611-10219, NF-SI-0512-10114] Funding Source: researchfish
  18. Novo Nordisk Fonden [NNF11OC1014660] Funding Source: researchfish

向作者/读者索取更多资源

Rigorous organization and quality control (QC) are necessary to facilitate successful genome-wide association meta-analyses (GWAMAs) of statistics aggregated across multiple genome-wide association studies. This protocol provides guidelines for (i) organizational aspects of GWAMAs, and for (ii) QC at the study file level, the meta- level across studies and the meta-analysis output level. Real-world examples highlight issues experienced and solutions developed by the GIANT Consortium that has conducted meta-analyses including data from 125 studies comprising more than 330,000 individuals. We provide a general protocol for conducting GWAMAs and carrying out QC to minimize errors and to guarantee maximum use of the data. We also include details for the use of a powerful and flexible software package called EasyQC. Precise timings will be greatly influenced by consortium size. For consortia of comparable size to the GIANT Consortium, this protocol takes a minimum of about 10 months to complete.

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