Literature DB >> 14635173

Analysis of metabolic syndrome phenotypes in Framingham Heart Study families from Genetic Analysis Workshop 13.

Lynn R Goldin1, Nicola J Camp, Kevin J Keen, Lisa J Martin, Roxana Moslehi, Saurabh Ghosh, Kari E North, Diego F Wyszynski, Deborah Blacker.   

Abstract

Twelve teams of investigators constituted a group which analyzed phenotypes related to metabolic syndrome, making use of the available longitudinal measurements from the family component of the Framingham Heart Study or the simulated data, as distributed by Genetic Analysis Workshop 13 (GAW13). Body mass index, obesity, lipid abnormalities, glucose, or combinations of these traits were analyzed by this group. A wide variety of approaches were taken to construct phenotypes from the longitudinal measurements, including considering single or multiple cross-sectional time points, single ages, minimum values, maximum values, means, other lifetime values, ever/never dichotomy, or age at onset of some threshold value. Approaches also differed in the family structures utilized (sib pairs to full extended pedigrees), the genetic data considered (two-point or multipoint), and the statistics calculated (model-free and parametric), and led to a diverse set of analyses being performed. Inferences were made about heritability, and attempts were made to map underlying genes. Over 40 genome-wide linkage analyses were conducted. Despite the broad range of approaches, several regions of the genome were repeatedly identified across multiple analyses.

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Year:  2003        PMID: 14635173     DOI: 10.1002/gepi.10288

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  8 in total

1.  Heritability of fasting glucose levels in a young genetically isolated population.

Authors:  R L P Santos; M C Zillikens; F R Rivadeneira; H A P Pols; B A Oostra; C M van Duijn; Y S Aulchenko
Journal:  Diabetologia       Date:  2006-02-08       Impact factor: 10.122

2.  Are there common genetic and environmental factors behind the endophenotypes associated with the metabolic syndrome?

Authors:  B Benyamin; T I A Sørensen; K Schousboe; M Fenger; P M Visscher; K O Kyvik
Journal:  Diabetologia       Date:  2007-07-12       Impact factor: 10.122

Review 3.  Genetic determinants of the metabolic syndrome.

Authors:  Michèle M Sale; Jonathan Woods; Barry I Freedman
Journal:  Curr Hypertens Rep       Date:  2006-04       Impact factor: 5.369

4.  Genetic and environmental contributions to phenotypic components of metabolic syndrome: a population-based twin study.

Authors:  Shanchun Zhang; Xin Liu; Yunxian Yu; Xiumei Hong; Katherine K Christoffel; Binyan Wang; Hui-Ju Tsai; Zhiping Li; Xue Liu; Genfu Tang; Houxun Xing; Wendy J Brickman; Donald Zimmerman; Xiping Xu; Xiaobin Wang
Journal:  Obesity (Silver Spring)       Date:  2009-04-30       Impact factor: 5.002

5.  USF1 gene variants contribute to metabolic traits in men in a longitudinal 32-year follow-up study.

Authors:  K Auro; K Kristiansson; B Zethelius; C Berne; L Lannfelt; M-R Taskinen; M Jauhiainen; M Perola; L Peltonen; A-C Syvänen
Journal:  Diabetologia       Date:  2007-12-21       Impact factor: 10.122

6.  Longitudinal and age trends of metabolic syndrome and its risk factors: the Family Heart Study.

Authors:  Aldi T Kraja; Ingrid B Borecki; Kari North; Weihong Tang; Richard H Myers; Paul N Hopkins; Donna Arnett; Jonathan Corbett; Avril Adelman; Michael A Province
Journal:  Nutr Metab (Lond)       Date:  2006-12-05       Impact factor: 4.169

7.  Cohort profile: the Baependi Heart Study-a family-based, highly admixed cohort study in a rural Brazilian town.

Authors:  Kieren J Egan; Malcolm von Schantz; André B Negrão; Hadassa C Santos; Andréa R V R Horimoto; Nubia E Duarte; Guilherme C Gonçalves; Júlia M P Soler; Mariza de Andrade; Geraldo Lorenzi-Filho; Homero Vallada; Tâmara P Taporoski; Mario Pedrazzoli; Ana P Azambuja; Camila M de Oliveira; Rafael O Alvim; José E Krieger; Alexandre C Pereira
Journal:  BMJ Open       Date:  2016-10-21       Impact factor: 2.692

8.  Heritability of cardiovascular risk factors in a Brazilian population: Baependi Heart Study.

Authors:  Camila M de Oliveira; Alexandre C Pereira; Mariza de Andrade; Júlia M Soler; José E Krieger
Journal:  BMC Med Genet       Date:  2008-04-22       Impact factor: 2.103

  8 in total

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