Estimation and partitioning of polygenic variation captured by common SNPs for Alzheimer's disease, multiple sclerosis and endometriosis.
Estimation and partitioning of polygenic variation captured by common SNPs for Alzheimer's disease, multiple sclerosis and endometriosis.
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DOI:
10.1093/hmg/dds491
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发表时间:
2013-02-15
影响因子:
3.5
通讯作者:
Visscher PM
中科院分区:
文献类型:
--
作者:
Lee SH;Harold D;Nyholt DR;ANZGene Consortium;International Endogene Consortium;Genetic and Environmental Risk for Alzheimer's disease Consortium;Goddard ME;Zondervan KT;Williams J;Montgomery GW;Wray NR;Visscher PM
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.
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影响因子:
2.1
作者:
Lee, Sang Hong;Nyholt, Dale R.;Visscher, Peter M.
通讯作者:
Visscher, Peter M.
影响因子:
30.8
作者:
通讯作者:
--
影响因子:
30.8
作者:
Harold, Denise;Abraham, Richard;Hollingworth, Paul;Sims, Rebecca;Gerrish, Amy;Hamshere, Marian L.;Pahwa, Jaspreet Singh;Moskvina, Valentina;Dowzell, Kimberley;Williams, Amy;Jones, Nicola;Thomas, Charlene;Stretton, Alexandra;Morgan, Angharad R.;Lovestone, Simon;Powell, John;Proitsi, Petroula;Lupton, Michelle K.;Brayne, Carol;Rubinsztein, David C.;Gill, Michael;Lawlor, Brian;Lynch, Aoibhinn;Morgan, Kevin;Brown, Kristelle S.;Passmore, Peter A.;Craig, David;McGuinness, Bernadette;Todd, Stephen;Holmes, Clive;Mann, David;Smith, A. David;Love, Seth;Kehoe, Patrick G.;Hardy, John;Mead, Simon;Fox, Nick;Rossor, Martin;Collinge, John;Maier, Wolfgang;Jessen, Frank;Schuermann, Britta;van den Bussche, Hendrik;Heuser, Isabella;Kornhuber, Johannes;Wiltfang, Jens;Dichgans, Martin;Froelich, Lutz;Hampel, Harald;Huell, Michael;Rujescu, Dan;Goate, Alison M.;Kauwe, John S. K.;Cruchaga, Carlos;Nowotny, Petra;Morris, John C.;Mayo, Kevin;Sleegers, Kristel;Bettens, Karolien;Engelborghs, Sebastiaan;De Deyn, Peter P.;Van Broeckhoven, Christine;Livingston, Gill;Bass, Nicholas J.;Gurling, Hugh;McQuillin, Andrew;Gwilliam, Rhian;Deloukas, Panagiotis;Al-Chalabi, Ammar;Shaw, Christopher E.;Tsolaki, Magda;Singleton, Andrew B.;Guerreiro, Rita;Muehleisen, Thomas W.;Noethen, Markus M.;Moebus, Susanne;Joeckel, Karl-Heinz;Klopp, Norman;Wichmann, H-Erich;Carrasquillo, Minerva M.;Pankratz, V. Shane;Younkin, Steven G.;Holmans, Peter A.;O'Donovan, Michael;Owen, Michael J.;Williams, Julie
通讯作者:
Williams, Julie
影响因子:
64.8
作者:
Deary, Ian J.;Yang, Jian;Visscher, Peter M.
通讯作者:
Visscher, Peter M.
DOI:
10.1073/pnas.0903103106
发表时间:
2009-06-09
影响因子:
11.1
作者:
Hindorff, Lucia A.;Sethupathy, Praveen;Manolio, Teri A.
通讯作者:
Manolio, Teri A.