Literature DB >> 16363087

Sex-limited genome-wide linkage scan for body mass index in an unselected sample of 933 Australian twin families.

Belinda K Cornes1, Sarah E Medland, Manuel A R Ferreira, Katherine I Morley, David L Duffy, Bastiaan T Heijmans, Grant W Montgomery, Nicholas G Martin.   

Abstract

Genes involved in pathways regulating body weight may operate differently in men and women. To determine whether sex-limited genes influence the obesity-related phenotype body mass index (BMI), we have conducted a general nonscalar sex-limited genome-wide linkage scan using variance components analysis in Mx (Neale, 2002). BMI measurements and genotypic data were available for 2053 Australian female and male adult twins and their siblings from 933 families. Clinical measures of BMI were available for 64.4% of these individuals, while only self-reported measures were available for the remaining participants. The mean age of participants was 39.0 years of age (SD 12.1 years). The use of a sex-limited linkage model identified areas on the genome where quantitative trait loci (QTL) effects differ between the sexes, particularly on chromosome 8 and 20, providing us with evidence that some of the genes responsible for BMI may have different effects in men and women. Our highest linkage peak was observed at 12q24 (-log10p = 3.02), which was near the recommended threshold for suggestive linkage (-log10p = 3.13). Previous studies have found evidence for a quantitative trait locus on 12q24 affecting BMI in a wide range of populations, and candidate genes for noninsulin-dependent diabetes mellitus, a consequence of obesity, have also been mapped to this region. We also identified many peaks near a -log10p of 2 (threshold for replicating an existing finding) in many areas across the genome that are within regions previously identified by other studies, as well as in locations that harbor genes known to influence weight regulation.

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Year:  2005        PMID: 16363087

Source DB:  PubMed          Journal:  Twin Res Hum Genet        ISSN: 1832-4274            Impact factor:   1.587


  23 in total

1.  A versatile gene-based test for genome-wide association studies.

Authors:  Jimmy Z Liu; Allan F McRae; Dale R Nyholt; Sarah E Medland; Naomi R Wray; Kevin M Brown; Nicholas K Hayward; Grant W Montgomery; Peter M Visscher; Nicholas G Martin; Stuart Macgregor
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2.  HLA and genomewide allele sharing in dizygotic twins.

Authors:  Grant W Montgomery; Gu Zhu; Jouke Jan Hottenga; David L Duffy; Andrew C Heath; Dorret I Boomsma; Nicholas G Martin; Peter M Visscher
Journal:  Am J Hum Genet       Date:  2006-10-23       Impact factor: 11.025

3.  Bias, precision and heritability of self-reported and clinically measured height in Australian twins.

Authors:  Stuart Macgregor; Belinda K Cornes; Nicholas G Martin; Peter M Visscher
Journal:  Hum Genet       Date:  2006-08-25       Impact factor: 4.132

4.  Residual linkage: why do linkage peaks not disappear after an association study?

Authors:  Scott Gordon; Peter M Visscher
Journal:  Hum Genet       Date:  2006-10-27       Impact factor: 4.132

5.  Bayesian latent trait modeling of migraine symptom data.

Authors:  Carla Chia Ming Chen; Jonathan M Keith; Dale R Nyholt; Nicholas G Martin; Kerrie L Mengersen
Journal:  Hum Genet       Date:  2009-04-24       Impact factor: 4.132

6.  A genome-wide linkage scan for age at menarche in three populations of European descent.

Authors:  Carl A Anderson; Gu Zhu; Mario Falchi; Stéphanie M van den Berg; Susan A Treloar; Timothy D Spector; Nicholas G Martin; Dorret I Boomsma; Peter M Visscher; Grant W Montgomery
Journal:  J Clin Endocrinol Metab       Date:  2008-07-22       Impact factor: 5.958

7.  Applying novel genome-wide linkage strategies to search for loci influencing type 2 diabetes and adult height in American Samoa.

Authors:  Karolina Aberg; Guangyun Sun; Diane Smelser; Subba Rao Indugula; Hui-Ju Tsai; Matthew S Steele; John Tuitele; Ranjan Deka; Stephen T McGarvey; Daniel E Weeks
Journal:  Hum Biol       Date:  2008-04       Impact factor: 0.553

8.  Linkage and heritability analysis of migraine symptom groupings: a comparison of three different clustering methods on twin data.

Authors:  Carla C M Chen; Kerrie L Mengersen; Jonathan M Keith; Nicholas G Martin; Dale R Nyholt
Journal:  Hum Genet       Date:  2009-03-19       Impact factor: 4.132

9.  Can we identify genes for alcohol consumption in samples ascertained for heterogeneous purposes?

Authors:  Narelle K Hansell; Arpana Agrawal; John B Whitfield; Katherine I Morley; Scott D Gordon; Penelope A Lind; Michele L Pergadia; Grant W Montgomery; Pamela A F Madden; Richard D Todd; Andrew C Heath; Nicholas G Martin
Journal:  Alcohol Clin Exp Res       Date:  2009-01-22       Impact factor: 3.455

10.  Genetic variation in female BMI increases with number of children born but failure to replicate association between GNbeta3 variants and increased BMI in parous females.

Authors:  Belinda K Cornes; Sarah E Medland; Penelope A Lind; Dale R Nyholt; Grant W Montgomery; Nicholas G Martin
Journal:  Twin Res Hum Genet       Date:  2009-06       Impact factor: 1.587

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