Unknown

Dataset Information

0

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


ABSTRACT: 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.

SUBMITTER: Winkler TW 

PROVIDER: S-EPMC4083217 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC5007749 | biostudies-other
| S-EPMC3291559 | biostudies-literature
| S-EPMC3066182 | biostudies-literature
| S-EPMC1950790 | biostudies-literature
| S-EPMC3580835 | biostudies-literature
| S-EPMC3827924 | biostudies-literature
| S-EPMC8034536 | biostudies-literature
| S-EPMC5539991 | biostudies-literature
| S-EPMC3061487 | biostudies-literature
| S-EPMC6739370 | biostudies-literature