Journal article
Estimation and partitioning of polygenic variation captured by common snps for alzheimer's disease, multiple sclerosis and endometriosis
SH Lee, D Harold, DR Nyholt, ME Goddard, KT Zondervan, J Williams, GW Montgomery, NR Wray, PM Visscher
Human Molecular Genetics | Published : 2013
DOI: 10.1093/hmg/dds491
Open access
Abstract
Common diseases such as endometriosis (ED), Alzheimer's disease (AD) and multiple sclerosis (MS) account for a significant proportion of the health care burden in many countries. Genome-wide association studies (GWASs) for these diseases have identified a number of individual genetic variants contributing to the risk of those diseases. However, the effect size for most variants is small and collectively the known variants explain only a small proportion of the estimated heritability. We used a linear mixed model to fit all single nucleotide polymorphisms (SNPs) simultaneously, and estimated genetic variances on the liability scale using SNPs from GWASs in unrelated individuals for these thre..
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Awarded by Australian Research Council
Funding Acknowledgements
We thank Jian Yang for helpful discussions. 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 www.wtccc.org.uk. Funding for the project was provided by the Wellcome Trust under award 076113.This work was supported by the Australian National Health and Medical Research Council (NHMRC) 1011506. P. M. V. (613601), N. R. W. (613602, 1011506), G. W. M. (619667), D. R. N. (339462 and 613674) were supported by the NHMRC Fellowships Scheme. N. R. W. (FT0991360) and D. R. N. (FT0991022) were supported by the ARC Future Fellowship schemes. K. T. Z. is supported by a Wellcome Trust Research Career Development Fellowship (WT085235/Z/08/Z). Funding to pay the Open Access publication charges for this article was provided by the NHMRC (1011506).