Literature DB >> 17888929

Genetic and phenotypic architecture of metabolic syndrome-associated components in dyslipidemic and normolipidemic subjects: the GEMS Study.

Heide Stirnadel1, Xiwu Lin, Hua Ling, Kijoung Song, Philip Barter, Y Antero Kesäniemi, Robert Mahley, Ruth McPherson, Gérard Waeber, Thomas Bersot, Jonathan Cohen, Scott Grundy, Braxton Mitchell, Vincent Mooser, Dawn Waterworth.   

Abstract

Atherogenic dyslipidemia, manifest by low HDL-cholesterol and high TG levels, is an important component of ATP-III defined metabolic syndrome. Here, we dissected the phenotypic and genetic architecture of these traits by assessing their relationships with other metabolically relevant measures, including plasma adipo-cytokines, highly sensitive C-reactive protein (hsCRP) and LDL particle size, in a large family data set (n=2800) and in an independent set of dyslipidemic cases (n=716) and normolipidemic controls (n=1073). We explored the relationships among these phenotypes using variable clustering and then estimated their genetic heritabilities and cross-trait correlations. In families, four clusters explained 61% of the total variance, with one adiposity-related cluster (including hsCRP), one BP-related cluster, and two lipid-related clusters (HDL-C, TG, adiponectin and LDL particle size; apoB and non-HDL-C). A similar structure was observed in dyslipidemic cases and normolipidemic controls. The genetic correlations in the families largely paralleled the phenotype clustering results, suggesting that common genes having pleiotropic effects contributed to the correlations observed. In summary, our analyses support a model of metabolic syndrome with two major components, body fat and lipids, each with two subcomponents, and quantifies their degree of overlap with each other and with metabolic-syndrome related measures (adipokines, LDL particle size and hsCRP).

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Year:  2007        PMID: 17888929     DOI: 10.1016/j.atherosclerosis.2007.07.038

Source DB:  PubMed          Journal:  Atherosclerosis        ISSN: 0021-9150            Impact factor:   5.162


  9 in total

1.  Risk profiles for metabolic syndrome and its transition patterns for the elderly in Beijing, 1992-2009.

Authors:  Li-Xin Tao; Wei Wang; Hui-Ping Zhu; Da Huo; Tao Zhou; Lei Pan; Qi Gao; Yan-Xia Luo; Li-Juan Wu; Xia Li; Zhe Tang; Xiu-Hua Guo
Journal:  Endocrine       Date:  2014-01-23       Impact factor: 3.633

2.  Prospective study of insulin-like growth factor-I, insulin-like growth factor-binding protein 3, genetic variants in the IGF1 and IGFBP3 genes and risk of coronary artery disease.

Authors:  Sally L Ricketts; Katrijn L Rensing; Jeff M Holly; Li Chen; Elizabeth H Young; Robert Luben; Sofie Ashford; Kijoung Song; Xin Yuan; Abbas Dehghan; Benjamin J Wright; Dawn M Waterworth; Vincent Mooser; Gérard Waeber; Peter Vollenweider; Stephen E Epstein; Mary S Burnett; Joseph M Devaney; Hakon H Hakonarson; Daniel J Rader; Muredach P Reilly; John Danesh; Simon G Thompson; Alison M Dunning; Cornelia M van Duijn; Nilesh J Samani; Ruth McPherson; Nicholas J Wareham; Kay-Tee Khaw; S Matthijs Boekholdt; Manjinder S Sandhu
Journal:  Int J Mol Epidemiol Genet       Date:  2011-08-03

3.  Genome-wide linkage and association analyses to identify genes influencing adiponectin levels: the GEMS Study.

Authors:  Hua Ling; Dawn M Waterworth; Heide A Stirnadel; Toni I Pollin; Philip J Barter; Y Antero Kesäniemi; Robert W Mahley; Ruth McPherson; Gérard Waeber; Thomas P Bersot; Jonathan C Cohen; Scott M Grundy; Vincent E Mooser; Braxton D Mitchell
Journal:  Obesity (Silver Spring)       Date:  2009-01-22       Impact factor: 5.002

4.  Genetic variants influencing circulating lipid levels and risk of coronary artery disease.

Authors:  Dawn M Waterworth; Sally L Ricketts; Kijoung Song; Li Chen; Jing Hua Zhao; Samuli Ripatti; Yurii S Aulchenko; Weihua Zhang; Xin Yuan; Noha Lim; Jian'an Luan; Sofie Ashford; Eleanor Wheeler; Elizabeth H Young; David Hadley; John R Thompson; Peter S Braund; Toby Johnson; Maksim Struchalin; Ida Surakka; Robert Luben; Kay-Tee Khaw; Sheila A Rodwell; Ruth J F Loos; S Matthijs Boekholdt; Michael Inouye; Panagiotis Deloukas; Paul Elliott; David Schlessinger; Serena Sanna; Angelo Scuteri; Anne Jackson; Karen L Mohlke; Jaako Tuomilehto; Robert Roberts; Alexandre Stewart; Y Antero Kesäniemi; Robert W Mahley; Scott M Grundy; Wendy McArdle; Lon Cardon; Gérard Waeber; Peter Vollenweider; John C Chambers; Michael Boehnke; Gonçalo R Abecasis; Veikko Salomaa; Marjo-Riitta Järvelin; Aimo Ruokonen; Inês Barroso; Stephen E Epstein; Hakon H Hakonarson; Daniel J Rader; Muredach P Reilly; Jacqueline C M Witteman; Alistair S Hall; Nilesh J Samani; David P Strachan; Philip Barter; Cornelia M van Duijn; Jaspal S Kooner; Leena Peltonen; Nicholas J Wareham; Ruth McPherson; Vincent Mooser; Manjinder S Sandhu
Journal:  Arterioscler Thromb Vasc Biol       Date:  2010-09-23       Impact factor: 8.311

5.  Deep resequencing unveils genetic architecture of ADIPOQ and identifies a novel low-frequency variant strongly associated with adiponectin variation.

Authors:  Liling L Warren; Li Li; Matthew R Nelson; Margaret G Ehm; Judong Shen; Dana J Fraser; Jennifer L Aponte; Keith L Nangle; Andrew J Slater; Peter M Woollard; Matt D Hall; Simon D Topp; Xin Yuan; Lon R Cardon; Stephanie L Chissoe; Vincent Mooser; Andrew D Morris; Colin N A Palmer; John R Perry; Timothy M Frayling; John C Whittaker; Dawn M Waterworth
Journal:  Diabetes       Date:  2012-03-08       Impact factor: 9.461

6.  A genome-wide association study reveals variants in ARL15 that influence adiponectin levels.

Authors:  J Brent Richards; Dawn Waterworth; Stephen O'Rahilly; Marie-France Hivert; Ruth J F Loos; John R B Perry; Toshiko Tanaka; Nicholas John Timpson; Robert K Semple; Nicole Soranzo; Kijoung Song; Nuno Rocha; Elin Grundberg; Josée Dupuis; Jose C Florez; Claudia Langenberg; Inga Prokopenko; Richa Saxena; Robert Sladek; Yurii Aulchenko; David Evans; Gerard Waeber; Jeanette Erdmann; Mary-Susan Burnett; Naveed Sattar; Joseph Devaney; Christina Willenborg; Aroon Hingorani; Jaquelin C M Witteman; Peter Vollenweider; Beate Glaser; Christian Hengstenberg; Luigi Ferrucci; David Melzer; Klaus Stark; John Deanfield; Janina Winogradow; Martina Grassl; Alistair S Hall; Josephine M Egan; John R Thompson; Sally L Ricketts; Inke R König; Wibke Reinhard; Scott Grundy; H-Erich Wichmann; Phil Barter; Robert Mahley; Y Antero Kesaniemi; Daniel J Rader; Muredach P Reilly; Stephen E Epstein; Alexandre F R Stewart; Cornelia M Van Duijn; Heribert Schunkert; Keith Burling; Panos Deloukas; Tomi Pastinen; Nilesh J Samani; Ruth McPherson; George Davey Smith; Timothy M Frayling; Nicholas J Wareham; James B Meigs; Vincent Mooser; Tim D Spector
Journal:  PLoS Genet       Date:  2009-12-11       Impact factor: 5.917

7.  Meta-analysis and imputation refines the association of 15q25 with smoking quantity.

Authors:  Jason Z Liu; Federica Tozzi; Dawn M Waterworth; Sreekumar G Pillai; Pierandrea Muglia; Lefkos Middleton; Wade Berrettini; Christopher W Knouff; Xin Yuan; Gérard Waeber; Peter Vollenweider; Martin Preisig; Nicholas J Wareham; Jing Hua Zhao; Ruth J F Loos; Inês Barroso; Kay-Tee Khaw; Scott Grundy; Philip Barter; Robert Mahley; Antero Kesaniemi; Ruth McPherson; John B Vincent; John Strauss; James L Kennedy; Anne Farmer; Peter McGuffin; Richard Day; Keith Matthews; Per Bakke; Amund Gulsvik; Susanne Lucae; Marcus Ising; Tanja Brueckl; Sonja Horstmann; H-Erich Wichmann; Rajesh Rawal; Norbert Dahmen; Claudia Lamina; Ozren Polasek; Lina Zgaga; Jennifer Huffman; Susan Campbell; Jaspal Kooner; John C Chambers; Mary Susan Burnett; Joseph M Devaney; Augusto D Pichard; Kenneth M Kent; Lowell Satler; Joseph M Lindsay; Ron Waksman; Stephen Epstein; James F Wilson; Sarah H Wild; Harry Campbell; Veronique Vitart; Muredach P Reilly; Mingyao Li; Liming Qu; Robert Wilensky; William Matthai; Hakon H Hakonarson; Daniel J Rader; Andre Franke; Michael Wittig; Arne Schäfer; Manuela Uda; Antonio Terracciano; Xiangjun Xiao; Fabio Busonero; Paul Scheet; David Schlessinger; David St Clair; Dan Rujescu; Gonçalo R Abecasis; Hans Jörgen Grabe; Alexander Teumer; Henry Völzke; Astrid Petersmann; Ulrich John; Igor Rudan; Caroline Hayward; Alan F Wright; Ivana Kolcic; Benjamin J Wright; John R Thompson; Anthony J Balmforth; Alistair S Hall; Nilesh J Samani; Carl A Anderson; Tariq Ahmad; Christopher G Mathew; Miles Parkes; Jack Satsangi; Mark Caulfield; Patricia B Munroe; Martin Farrall; Anna Dominiczak; Jane Worthington; Wendy Thomson; Steve Eyre; Anne Barton; Vincent Mooser; Clyde Francks; Jonathan Marchini
Journal:  Nat Genet       Date:  2010-04-25       Impact factor: 38.330

8.  Metabolic phenotypes, vascular complications, and premature deaths in a population of 4,197 patients with type 1 diabetes.

Authors:  Ville-Petteri Mäkinen; Carol Forsblom; Lena M Thorn; Johan Wadén; Daniel Gordin; Outi Heikkilä; Kustaa Hietala; Laura Kyllönen; Janne Kytö; Milla Rosengård-Bärlund; Markku Saraheimo; Nina Tolonen; Maija Parkkonen; Kimmo Kaski; Mika Ala-Korpela; Per-Henrik Groop
Journal:  Diabetes       Date:  2008-06-10       Impact factor: 9.461

9.  LDL-cholesterol concentrations: a genome-wide association study.

Authors:  Manjinder S Sandhu; Dawn M Waterworth; Sally L Debenham; Eleanor Wheeler; Konstantinos Papadakis; Jing Hua Zhao; Kijoung Song; Xin Yuan; Toby Johnson; Sofie Ashford; Michael Inouye; Robert Luben; Matthew Sims; David Hadley; Wendy McArdle; Philip Barter; Y Antero Kesäniemi; Robert W Mahley; Ruth McPherson; Scott M Grundy; Sheila A Bingham; Kay-Tee Khaw; Ruth J F Loos; Gérard Waeber; Inês Barroso; David P Strachan; Panagiotis Deloukas; Peter Vollenweider; Nicholas J Wareham; Vincent Mooser
Journal:  Lancet       Date:  2008-02-09       Impact factor: 79.321

  9 in total

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