Literature DB >> 22968135

Low-density lipoprotein receptor mutations generate synthetic genome-wide associations.

Daniëlla M Oosterveer1, Jorie Versmissen, Joep C Defesche, Suthesh Sivapalaratnam, Mojgan Yazdanpanah, Monique Mulder, Leonie van der Zee, André G Uitterlinden, Cornelia M van Duijn, Albert Hofman, John J P Kastelein, Yurii S Aulchenko, Eric J G Sijbrands.   

Abstract

Genome-wide association (GWA) studies have discovered multiple common genetic risk variants related to common diseases. It has been proposed that a number of these signals of common polymorphisms are based on synthetic associations that are generated by rare causative variants. We investigated if mutations in the low-density lipoprotein receptor (LDLR) gene causing familial hypercholesterolemia (FH, OMIM #143890) produce such signals. We genotyped 480 254 polymorphisms in 464 FH patients and in 5945 subjects from the general population. A total of 28 polymorphisms located up to 2.4 Mb from the LDLR gene were genome-wide significantly associated with FH (P<10(-8)). We replicated the 10 top signals in 2189 patients with a clinical diagnosis of FH and in 2157 subjects of a second sample of the general population (P<0.000087). Our findings confirm that rare variants are able to cause synthetic genome-wide significant associations, and that they exert this effect at relatively large distances from the causal mutation.

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Year:  2012        PMID: 22968135      PMCID: PMC3641383          DOI: 10.1038/ejhg.2012.207

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  16 in total

1.  Interpretation of association signals and identification of causal variants from genome-wide association studies.

Authors:  Kai Wang; Samuel P Dickson; Catherine A Stolle; Ian D Krantz; David B Goldstein; Hakon Hakonarson
Journal:  Am J Hum Genet       Date:  2010-04-29       Impact factor: 11.025

2.  PLINK: a tool set for whole-genome association and population-based linkage analyses.

Authors:  Shaun Purcell; Benjamin Neale; Kathe Todd-Brown; Lori Thomas; Manuel A R Ferreira; David Bender; Julian Maller; Pamela Sklar; Paul I W de Bakker; Mark J Daly; Pak C Sham
Journal:  Am J Hum Genet       Date:  2007-07-25       Impact factor: 11.025

Review 3.  Genome-wide association studies: potential next steps on a genetic journey.

Authors:  Mark I McCarthy; Joel N Hirschhorn
Journal:  Hum Mol Genet       Date:  2008-10-15       Impact factor: 6.150

Review 4.  Genome-wide association studies for complex traits: consensus, uncertainty and challenges.

Authors:  Mark I McCarthy; Gonçalo R Abecasis; Lon R Cardon; David B Goldstein; Julian Little; John P A Ioannidis; Joel N Hirschhorn
Journal:  Nat Rev Genet       Date:  2008-05       Impact factor: 53.242

5.  Excess of rare variants in genes identified by genome-wide association study of hypertriglyceridemia.

Authors:  Christopher T Johansen; Jian Wang; Matthew B Lanktree; Henian Cao; Adam D McIntyre; Matthew R Ban; Rebecca A Martins; Brooke A Kennedy; Reina G Hassell; Maartje E Visser; Stephen M Schwartz; Benjamin F Voight; Roberto Elosua; Veikko Salomaa; Christopher J O'Donnell; Geesje M Dallinga-Thie; Sonia S Anand; Salim Yusuf; Murray W Huff; Sekar Kathiresan; Robert A Hegele
Journal:  Nat Genet       Date:  2010-07-25       Impact factor: 38.330

6.  Estimating causal effects of genetic risk variants for breast cancer using marker data from bilateral and familial cases.

Authors:  Frank Dudbridge; Olivia Fletcher; Kate Walker; Nichola Johnson; Nick Orr; Isabel Dos Santos Silva; Julian Peto
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2011-10-25       Impact factor: 4.254

7.  The contribution of classical risk factors to cardiovascular disease in familial hypercholesterolaemia: data in 2400 patients.

Authors:  A C M Jansen; E S van Aalst-Cohen; M W Tanck; M D Trip; P J Lansberg; A H Liem; H W O Roeters van Lennep; E J G Sijbrands; J J P Kastelein
Journal:  J Intern Med       Date:  2004-12       Impact factor: 8.989

8.  A map of human genome variation from population-scale sequencing.

Authors:  Gonçalo R Abecasis; David Altshuler; Adam Auton; Lisa D Brooks; Richard M Durbin; Richard A Gibbs; Matt E Hurles; Gil A McVean
Journal:  Nature       Date:  2010-10-28       Impact factor: 49.962

9.  Rare variants create synthetic genome-wide associations.

Authors:  Samuel P Dickson; Kai Wang; Ian Krantz; Hakon Hakonarson; David B Goldstein
Journal:  PLoS Biol       Date:  2010-01-26       Impact factor: 8.029

10.  Update and analysis of the University College London low density lipoprotein receptor familial hypercholesterolemia database.

Authors:  S E A Leigh; A H Foster; R A Whittall; C S Hubbart; S E Humphries
Journal:  Ann Hum Genet       Date:  2008-03-05       Impact factor: 1.670

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  3 in total

1.  Causal and synthetic associations of variants in the SERPINA gene cluster with alpha1-antitrypsin serum levels.

Authors:  Gian Andri Thun; Medea Imboden; Ilaria Ferrarotti; Ashish Kumar; Ma'en Obeidat; Michele Zorzetto; Margot Haun; Ivan Curjuric; Alexessander Couto Alves; Victoria E Jackson; Eva Albrecht; Janina S Ried; Alexander Teumer; Lorna M Lopez; Jennifer E Huffman; Stefan Enroth; Yohan Bossé; Ke Hao; Wim Timens; Ulf Gyllensten; Ozren Polasek; James F Wilson; Igor Rudan; Caroline Hayward; Andrew J Sandford; Ian J Deary; Beate Koch; Eva Reischl; Holger Schulz; Jennie Hui; Alan L James; Thierry Rochat; Erich W Russi; Marjo-Riitta Jarvelin; David P Strachan; Ian P Hall; Martin D Tobin; Morten Dahl; Sune Fallgaard Nielsen; Børge G Nordestgaard; Florian Kronenberg; Maurizio Luisetti; Nicole M Probst-Hensch
Journal:  PLoS Genet       Date:  2013-08-22       Impact factor: 5.917

Review 2.  Progress in genetic association studies of plasma lipids.

Authors:  Folkert W Asselbergs; Ruth C Lovering; Fotios Drenos
Journal:  Curr Opin Lipidol       Date:  2013-04       Impact factor: 4.776

3.  The application of transcriptomic data in the authentication of beef derived from contrasting production systems.

Authors:  Torres Sweeney; Alex Lejeune; Aidan P Moloney; Frank J Monahan; Paul Mc Gettigan; Gerard Downey; Stephen D E Park; Marion T Ryan
Journal:  BMC Genomics       Date:  2016-09-21       Impact factor: 3.969

  3 in total

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