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

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

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.

In: Nature Protocols (Online), Vol. 9, No. 5, 05.2014, p. 1192-1212.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Winkler, TW, Day, FR, Croteau-Chonka, DC, Wood, AR, Locke, AE, Mägi, R, Ferreira, T, Fall, T, Graff, M, Justice, AE, Luan, J, Gustafsson, S, Randall, JC, Vedantam, S, Workalemahu, T, Kilpeläinen, T, Scherag, A, Esko, T, Kutalik, Z, Heid, IM, Loos, RJF & Genetic Investigation of Anthropometric Traits (GIANT) Consortium 2014, 'Quality control and conduct of genome-wide association meta-analyses', Nature Protocols (Online), vol. 9, no. 5, pp. 1192-1212. https://doi.org/10.1038/nprot.2014.071

APA

Winkler, T. W., Day, F. R., Croteau-Chonka, D. C., Wood, A. R., Locke, A. E., Mägi, R., Ferreira, T., Fall, T., Graff, M., Justice, A. E., Luan, J., Gustafsson, S., Randall, J. C., Vedantam, S., Workalemahu, T., Kilpeläinen, T., Scherag, A., Esko, T., Kutalik, Z., ... Genetic Investigation of Anthropometric Traits (GIANT) Consortium (2014). Quality control and conduct of genome-wide association meta-analyses. Nature Protocols (Online), 9(5), 1192-1212. https://doi.org/10.1038/nprot.2014.071

Vancouver

Winkler TW, Day FR, Croteau-Chonka DC, Wood AR, Locke AE, Mägi R et al. Quality control and conduct of genome-wide association meta-analyses. Nature Protocols (Online). 2014 May;9(5):1192-1212. https://doi.org/10.1038/nprot.2014.071

Author

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. / Quality control and conduct of genome-wide association meta-analyses. In: Nature Protocols (Online). 2014 ; Vol. 9, No. 5. pp. 1192-1212.

Bibtex

@article{6fff172749ab4461b4bfa28615aa7390,
title = "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.",
author = "Winkler, {Thomas W} and Day, {Felix R} and Croteau-Chonka, {Damien C} and Wood, {Andrew R} and Locke, {Adam E} and Reedik M{\"a}gi and Teresa Ferreira and Tove Fall and Mariaelisa Graff and Justice, {Anne E} and Jian'an Luan and Stefan Gustafsson and Randall, {Joshua C} and Sailaja Vedantam and Tsegaselassie Workalemahu and Tuomas Kilpel{\"a}inen and Andr{\'e} Scherag and Tonu Esko and Zolt{\'a}n Kutalik and Heid, {Iris M} and Loos, {Ruth J F} and {Genetic Investigation of Anthropometric Traits (GIANT) Consortium}",
year = "2014",
month = may,
doi = "10.1038/nprot.2014.071",
language = "English",
volume = "9",
pages = "1192--1212",
journal = "Nature Protocols (Online)",
issn = "1750-2799",
publisher = "nature publishing group",
number = "5",

}

RIS

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