Literature DB >> 16429159

The sex-specific genetic architecture of quantitative traits in humans.

Lauren A Weiss1, Lin Pan, Mark Abney, Carole Ober.   

Abstract

Mapping genetically complex traits remains one of the greatest challenges in human genetics today. In particular, gene-environment and gene-gene interactions, genetic heterogeneity and incomplete penetrance make thorough genetic dissection of complex traits difficult, if not impossible. Sex could be considered an environmental factor that can modify both penetrance and expressivity of a wide variety of traits. Sex is easily determined and has measurable effects on recognizable morphology; neurobiological circuits; susceptibility to autoimmune disease, diabetes, asthma, cardiovascular and psychiatric disease; and quantitative traits like blood pressure, obesity and lipid levels, among others. In this study, we evaluated sex-specific heritability and genome-wide linkages for 17 quantitative traits in the Hutterites. The results of this study could have important implications for mapping complex trait genes.

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Year:  2006        PMID: 16429159     DOI: 10.1038/ng1726

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  162 in total

1.  Sex-specific genetic architecture of human fatness in Chinese: the SAPPHIRe Study.

Authors:  Y-F Chiu; L-M Chuang; H-Y Kao; K-C Shih; M-W Lin; W-J Lee; T Quertermous; J D Curb; I Chen; B L Rodriguez; C A Hsiung
Journal:  Hum Genet       Date:  2010-08-20       Impact factor: 4.132

2.  Fine mapping reveals sex bias in quantitative trait loci affecting growth, skeletal size and obesity-related traits on mouse chromosomes 2 and 11.

Authors:  Charles R Farber; Juan F Medrano
Journal:  Genetics       Date:  2006-11-16       Impact factor: 4.562

3.  Confirmation of linkage to chromosome 1q for spine bone mineral density in southern Chinese.

Authors:  Ching-Lung Cheung; Qing-Yang Huang; Mandy Y M Ng; Vivian Chan; Pak C Sham; Annie W C Kung
Journal:  Hum Genet       Date:  2006-07-18       Impact factor: 4.132

Review 4.  Gene-environment interactions in asthma: with apologies to William of Ockham.

Authors:  Fernando D Martinez
Journal:  Proc Am Thorac Soc       Date:  2007-01

5.  Rare DEGS1 variant significantly alters de novo ceramide synthesis pathway.

Authors:  Nicholas B Blackburn; Laura F Michael; Peter J Meikle; Juan M Peralta; Marian Mosior; Scott McAhren; Hai H Bui; Melissa A Bellinger; Corey Giles; Satish Kumar; Ana C Leandro; Marcio Almeida; Jacquelyn M Weir; Michael C Mahaney; Thomas D Dyer; Laura Almasy; John L VandeBerg; Sarah Williams-Blangero; David C Glahn; Ravindranath Duggirala; Mark Kowala; John Blangero; Joanne E Curran
Journal:  J Lipid Res       Date:  2019-06-21       Impact factor: 5.922

6.  A semiparametric approach for composite functional mapping of dynamic quantitative traits.

Authors:  Runqing Yang; Huijiang Gao; Xin Wang; Ji Zhang; Zhao-Bang Zeng; Rongling Wu
Journal:  Genetics       Date:  2007-10-18       Impact factor: 4.562

7.  New complexities in the genetics of stuttering: significant sex-specific linkage signals.

Authors:  Rathi Suresh; Nicoline Ambrose; Cheryl Roe; Anna Pluzhnikov; Jacqueline K Wittke-Thompson; Maggie C-Y Ng; Xiaolin Wu; Edwin H Cook; Cecilia Lundstrom; Marie Garsten; Ruth Ezrati; Ehud Yairi; Nancy J Cox
Journal:  Am J Hum Genet       Date:  2006-02-01       Impact factor: 11.025

Review 8.  Haplotyping methods for pedigrees.

Authors:  Guimin Gao; David B Allison; Ina Hoeschele
Journal:  Hum Hered       Date:  2009-01-27       Impact factor: 0.444

9.  Sex differences in the associations between lipid levels and incident dementia.

Authors:  Marie-Laure Ancelin; Emmanuelle Ripoche; Anne-Marie Dupuy; Pascale Barberger-Gateau; Sophie Auriacombe; Olivier Rouaud; Claudine Berr; Isabelle Carrière; Karen Ritchie
Journal:  J Alzheimers Dis       Date:  2013       Impact factor: 4.472

10.  Sex-dependent cognitive phenotype of mice lacking mGluR8.

Authors:  Robert M Duvoisin; Laura Villasana; Timothy Pfankuch; Jacob Raber
Journal:  Behav Brain Res       Date:  2010-01-18       Impact factor: 3.332

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