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Estimation and partitioning of polygenic variation captured by common SNPs for Alzheimer's disease, multiple sclerosis and endometriosis

Lee, S., Harold, Denise, Nyholt, D., Goddard, M., Zondervan, K., Williams, Julie, Montgomery, G., Wray, N. and Visscher, P. 2013. Estimation and partitioning of polygenic variation captured by common SNPs for Alzheimer's disease, multiple sclerosis and endometriosis. Human Molecular Genetics 22 (4) , pp. 832-841. 10.1093/hmg/dds491

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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 three diseases. For each of the three diseases, case and control samples were not all genotyped in the same laboratory. We demonstrate that a careful analysis can obtain robust estimates, but also that insufficient quality control (QC) of SNPs can lead to spurious results and that too stringent QC is likely to remove real genetic signals. Our estimates show that common SNPs on commercially available genotyping chips capture significant variation contributing to liability for all three diseases. The estimated proportion of total variation tagged by all SNPs was 0.26 (SE 0.04) for ED, 0.24 (SE 0.03) for AD and 0.30 (SE 0.03) for MS. Further, we partitioned the genetic variance explained into five categories by a minor allele frequency (MAF), by chromosomes and gene annotation. We provide strong evidence that a substantial proportion of variation in liability is explained by common SNPs, and thereby give insights into the genetic architecture of the diseases.

Item Type: Article
Date Type: Publication
Status: Published
Schools: MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG)
Medicine
Neuroscience and Mental Health Research Institute (NMHRI)
Systems Immunity Research Institute (SIURI)
Subjects: R Medicine > R Medicine (General)
R Medicine > RZ Other systems of medicine
Uncontrolled Keywords: Alzheimer Disease; Case-Control Studies; Chromosomes, Human; Endometriosis; Female; Gene Frequency; Genetic Variation; Genotype; Humans; Male; Models, Genetic; Molecular Sequence Annotation; Multifactorial Inheritance; Multiple Sclerosis; Polymorphism, Single Nucleotide
Publisher: Oxford University Press
ISSN: 0964-6906
Date of Acceptance: 15 November 2012
Last Modified: 17 Jun 2017 10:42
URI: http://orca.cf.ac.uk/id/eprint/76248

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