Literature DB >> 14557872

Evidence for substantial effect modification by gender in a large-scale genetic association study of the metabolic syndrome among coronary heart disease patients.

Jeanette J McCarthy1, Joanne Meyer, David J Moliterno, L Kristin Newby, William J Rogers, Eric J Topol.   

Abstract

Major genetic determinants of the metabolic syndrome - a clustering of abdominal obesity, high triglycerides, low HDL cholesterol, high blood pressure and high fasting glucose - remain elusive. We surveyed 207 single-nucleotide polymorphisms in 110 candidate genes among coronary artery disease patients, a population enriched for metabolic abnormalities. The number of abnormalities (0-5) was determined in the 214 male and 91 female patients, and the association with each polymorphism evaluated by means of ordinal regression analysis. Polymorphisms in eight genes, including LDLR, GBE1, IL1R1, TGFB1, IL6, COL5A2, SELE and LIPC, were associated with metabolic syndrome in the whole population ( P values ranged from 0.047 to 0.008). Variants in seven additional genes showed significant gene by gender interaction. Among these, separate analyses in men and women revealed a strong association with a silent polymorphism in the low-density lipoprotein receptor-related protein gene, LRPAP1, among females ( P=0.0003), but not males ( P=0.292). Other genes associated only in females included THBS1, ACAT2, ITGB3, F2 and SELP ( P values ranging from 0.032 to 0.002). Only one gene ( PRCP) was significantly associated in men alone ( P=0.039). Our results propose several new candidate genes for the metabolic syndrome and suggest that the genetic basis of this syndrome may be strongly modified by gender.

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Year:  2003        PMID: 14557872     DOI: 10.1007/s00439-003-1026-1

Source DB:  PubMed          Journal:  Hum Genet        ISSN: 0340-6717            Impact factor:   4.132


  24 in total

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2.  SBE-TAGS: an array-based method for efficient single-nucleotide polymorphism genotyping.

Authors:  J N Hirschhorn; P Sklar; K Lindblad-Toh; Y M Lim; M Ruiz-Gutierrez; S Bolk; B Langhorst; S Schaffner; E Winchester; E S Lander
Journal:  Proc Natl Acad Sci U S A       Date:  2000-10-24       Impact factor: 11.205

3.  Sex-specific and sex-independent quantitative trait loci for facets of the metabolic syndrome in WOKW rats.

Authors:  I Klöting; P Kovács; J van den Brandt
Journal:  Biochem Biophys Res Commun       Date:  2001-06-01       Impact factor: 3.575

4.  SNP genotyping by the 5'-nuclease reaction.

Authors:  Kenneth J Livak
Journal:  Methods Mol Biol       Date:  2003

5.  Prospective analysis of the insulin-resistance syndrome (syndrome X).

Authors:  S M Haffner; R A Valdez; H P Hazuda; B D Mitchell; P A Morales; M P Stern
Journal:  Diabetes       Date:  1992-06       Impact factor: 9.461

6.  Cardiovascular morbidity and mortality associated with the metabolic syndrome.

Authors:  B Isomaa; P Almgren; T Tuomi; B Forsén; K Lahti; M Nissén; M R Taskinen; L Groop
Journal:  Diabetes Care       Date:  2001-04       Impact factor: 19.112

7.  Prevalence of the metabolic syndrome among US adults: findings from the third National Health and Nutrition Examination Survey.

Authors:  Earl S Ford; Wayne H Giles; William H Dietz
Journal:  JAMA       Date:  2002-01-16       Impact factor: 56.272

8.  The metabolic syndrome: prevalence and associated risk factor findings in the US population from the Third National Health and Nutrition Examination Survey, 1988-1994.

Authors:  Yong-Woo Park; Shankuan Zhu; Latha Palaniappan; Stanley Heshka; Mercedes R Carnethon; Steven B Heymsfield
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9.  Genetic versus environmental aetiology of the metabolic syndrome among male and female twins.

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10.  A genome-wide scan for coronary heart disease suggests in Indo-Mauritians a susceptibility locus on chromosome 16p13 and replicates linkage with the metabolic syndrome on 3q27.

Authors:  S Francke; M Manraj; C Lacquemant; C Lecoeur; F Leprêtre; P Passa; A Hebe; L Corset; S L Yan; S Lahmidi; S Jankee; T K Gunness; U S Ramjuttun; V Balgobin; C Dina; P Froguel
Journal:  Hum Mol Genet       Date:  2001-11-15       Impact factor: 6.150

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  25 in total

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Authors:  Sangeeta B English; Atul J Butte
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2.  Relationship of -55C/T polymorphism of uncoupling protein 3 (UCP3) gene with metabolic syndrome by ATP III classification.

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3.  Sex, Adiposity, and Hypertension Status Modify the Inverse Effect of Marine Food Intake on Blood Pressure in Alaska Native (Yup'ik) People.

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4.  Variation in ITGB3 has sex-specific associations with plasma lipoprotein(a) and whole blood serotonin levels in a population-based sample.

Authors:  Lauren A Weiss; Mark Abney; Rodney Parry; Angelo M Scanu; Edwin H Cook; Carole Ober
Journal:  Hum Genet       Date:  2005-04-15       Impact factor: 4.132

5.  Prolyl carboxypeptidase and its inhibitors in metabolism.

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6.  Prolylcarboxypeptidase regulates food intake by inactivating alpha-MSH in rodents.

Authors:  Nicholas Wallingford; Bertrand Perroud; Qian Gao; Anna Coppola; Erika Gyengesi; Zhong-Wu Liu; Xiao-Bing Gao; Adam Diament; Kari A Haus; Zia Shariat-Madar; Fakhri Mahdi; Sharon L Wardlaw; Alvin H Schmaier; Craig H Warden; Sabrina Diano
Journal:  J Clin Invest       Date:  2009-07-20       Impact factor: 14.808

7.  Reduced levels of neurotransmitter-degrading enzyme PRCP promote a lean phenotype. [corrected].

Authors:  Richard D Palmiter
Journal:  J Clin Invest       Date:  2009-07-20       Impact factor: 14.808

8.  Development and evaluation of a genetic risk score for obesity.

Authors:  Daniel W Belsky; Terrie E Moffitt; Karen Sugden; Benjamin Williams; Renate Houts; Jeanette McCarthy; Avshalom Caspi
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9.  Association of LIPC and advanced age-related macular degeneration.

Authors:  J Lee; J Zeng; G Hughes; Y Chen; S Grob; L Zhao; C Lee; M Krupa; J Quach; J Luo; J Zeng; X Wei; X Zhang; J Zhu; Y Duan; H Ferreyra; M Goldbaum; W Haw; P X Shaw; L Tang; K Zhang
Journal:  Eye (Lond)       Date:  2013-01-25       Impact factor: 3.775

Review 10.  Genetics of metabolic syndrome.

Authors:  Tisha Joy; Piya Lahiry; Rebecca L Pollex; Robert A Hegele
Journal:  Curr Diab Rep       Date:  2008-04       Impact factor: 4.810

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