This is a preview of subscription content, access via your institution
Relevant articles
Open Access articles citing this article.
-
Sequence level genome-wide associations for bull production and fertility traits in tropically adapted bulls
BMC Genomics Open Access 29 June 2023
-
Meta-analysis of genome-wide association studies uncovers shared candidate genes across breeds for pig fatness trait
BMC Genomics Open Access 30 November 2022
-
Temporal and genomic analysis of additive genetic variance in breeding programmes
Heredity Open Access 15 December 2021
Access options
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Kang, H.M. et al. Nat. Genet. 42, 348–354 (2010).
Lippert, C. et al. Nat. Methods 8, 833–835 (2011).
Hayes, B.J., Visscher, P.M. & Goddard, M.E. Genet. Res. (Camb.) 91, 47–60 (2009).
Hoggart, C.J., Whittaker, J.C., Iorio, M.D. & Balding, D.J. PLoS Genet. 4, e1000130 (2008).
Setakis, E., Stirnadel, H. & Balding, D.J. Genome Res. 16, 290–296 (2006).
Wellcome Trust Case Control Consortium. Nature 447, 661–678 (2007).
Acknowledgements
We thank J. Carlson for help with tools to manage and analyze the data and P. Palamara for cataloging the positions and genetic distances of SNPs in the data for Crohn's disease. This study makes use of data generated by the Wellcome Trust Case Control Consortium. A full list of the investigators who contributed to the generation of the data is available from http://www.wtccc.org.uk/. Funding for the project was provided by the Wellcome Trust under award 076113 and 085475. E.E. is supported by US National Science Foundation grants 0916676 and 1065276 and by US National Institutes of Health grants K25-HL080079, U01-DA024417, P01-HL30568 and PO1-HL28481.
Author information
Authors and Affiliations
Corresponding authors
Ethics declarations
Competing interests
J.L., C.L., C.M.K., R.I.D. and D.H. performed research related to this manuscript while employed by Microsoft.
Supplementary information
Supplementary Text and Figures
Supplementary Figure 1, Supplementary Table 1, Supplementary Methods and Supplementary Notes 1-3 (PDF 1202 kb)
Rights and permissions
About this article
Cite this article
Listgarten, J., Lippert, C., Kadie, C. et al. Improved linear mixed models for genome-wide association studies. Nat Methods 9, 525–526 (2012). https://doi.org/10.1038/nmeth.2037
Published:
Issue Date:
DOI: https://doi.org/10.1038/nmeth.2037
This article is cited by
-
Sequence level genome-wide associations for bull production and fertility traits in tropically adapted bulls
BMC Genomics (2023)
-
Meta-analysis of genome-wide association studies uncovers shared candidate genes across breeds for pig fatness trait
BMC Genomics (2022)
-
Temporal and genomic analysis of additive genetic variance in breeding programmes
Heredity (2022)
-
Genome-wide association analysis reveals new insights into the genetic architecture of defensive, agro-morphological and quality-related traits in cassava
Plant Molecular Biology (2022)
-
Large-scale transcriptome sequencing in broiler chickens to identify candidate genes for breast muscle weight and intramuscular fat content
Genetics Selection Evolution (2021)