Quality control and conduct of genome-wide association meta-analyses
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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Quality control and conduct of genome-wide association meta-analyses. / Winkler, Thomas W; Day, Felix R; Croteau-Chonka, Damien C; Wood, Andrew R; Locke, Adam E; Mägi, Reedik; Ferreira, Teresa; Fall, Tove; Graff, Mariaelisa; Justice, Anne E; Luan, Jian'an; Gustafsson, Stefan; Randall, Joshua C; Vedantam, Sailaja; Workalemahu, Tsegaselassie; Kilpeläinen, Tuomas; Scherag, André; Esko, Tonu; Kutalik, Zoltán; Heid, Iris M; Loos, Ruth J F; Genetic Investigation of Anthropometric Traits (GIANT) Consortium.
I: Nature Protocols (Online), Bind 9, Nr. 5, 05.2014, s. 1192-1212.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Quality control and conduct of genome-wide association meta-analyses
AU - Winkler, Thomas W
AU - Day, Felix R
AU - Croteau-Chonka, Damien C
AU - Wood, Andrew R
AU - Locke, Adam E
AU - Mägi, Reedik
AU - Ferreira, Teresa
AU - Fall, Tove
AU - Graff, Mariaelisa
AU - Justice, Anne E
AU - Luan, Jian'an
AU - Gustafsson, Stefan
AU - Randall, Joshua C
AU - Vedantam, Sailaja
AU - Workalemahu, Tsegaselassie
AU - Kilpeläinen, Tuomas
AU - Scherag, André
AU - Esko, Tonu
AU - Kutalik, Zoltán
AU - Heid, Iris M
AU - Loos, Ruth J F
AU - Genetic Investigation of Anthropometric Traits (GIANT) Consortium
PY - 2014/5
Y1 - 2014/5
N2 - 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.
AB - 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.
U2 - 10.1038/nprot.2014.071
DO - 10.1038/nprot.2014.071
M3 - Journal article
C2 - 24762786
VL - 9
SP - 1192
EP - 1212
JO - Nature Protocols (Online)
JF - Nature Protocols (Online)
SN - 1750-2799
IS - 5
ER -
ID: 108759875