Literature DB >> 11327104

Searching for genes underlying normal variation in human adiposity.

A G Comuzzie1, J T Williams, L J Martin, J Blangero.   

Abstract

A primary challenge in biomedical research today is the elucidation of the underlying genetic architecture of complex conditions such as obesity. In contrast to simple Mendelian disorders that result from a mutation in a single gene, complex phenotypes are the product of the action (as well as interaction) of multiple genes and environmental factors. The genetic configuration of these genes can range from effectively polygenic (i.e., many genes each with a relatively small contribution) to oligogenic (i.e., a few genes with relatively large measurable effects often expressed on a residual additive genetic background). While the task at hand is complicated, it is not intractable; however, it does require consideration of the nature of the disease and definition of its associated phenotypes in selecting the most appropriate study design. Here we will discuss the characteristics of obesity and its related phenotypes, which must be considered in designing analyses to identify the genes involved as well as reviewing what these approaches have provided in the search for genes influencing adiposity in humans

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Year:  2001        PMID: 11327104     DOI: 10.1007/s001090100202

Source DB:  PubMed          Journal:  J Mol Med (Berl)        ISSN: 0946-2716            Impact factor:   4.599


  15 in total

1.  Obesity, low for gestational age birth weight, and subsequent cardiovascular risk.

Authors:  F C Luft
Journal:  J Mol Med (Berl)       Date:  2001       Impact factor: 4.599

2.  A combined analysis of genomewide linkage scans for body mass index from the National Heart, Lung, and Blood Institute Family Blood Pressure Program.

Authors:  Xiaodong Wu; Richard S Cooper; Ingrid Borecki; Craig Hanis; Molly Bray; Cora E Lewis; Xiaofeng Zhu; Donghui Kan; Amy Luke; David Curb
Journal:  Am J Hum Genet       Date:  2002-03-28       Impact factor: 11.025

Review 3.  Genetics of eating and its relation to obesity.

Authors:  Kathleen L Keller; Angelo Pietrobelli; Shoshanna Must; Myles S Faith
Journal:  Curr Atheroscler Rep       Date:  2002-05       Impact factor: 5.113

4.  Estrogen receptor 1 gene polymorphisms and decreased risk of obesity in women.

Authors:  Alessandra C Goulart; Robert Y L Zee; Kathryn M Rexrode
Journal:  Metabolism       Date:  2009-06       Impact factor: 8.694

5.  Evidence of a novel quantitative-trait locus for obesity on chromosome 4p in Mexican Americans.

Authors:  Rector Arya; Ravindranath Duggirala; Christopher P Jenkinson; Laura Almasy; John Blangero; Peter O'Connell; Michael P Stern
Journal:  Am J Hum Genet       Date:  2004-01-20       Impact factor: 11.025

6.  Genome wide association study: searching for genes underlying body mass index in the Chinese.

Authors:  Fang Yang; Xiang Ding Chen; Li Jun Tan; Jie Shen; Ding You Li; Fang Zhang; Bao Yong Sha; Hong Wen Deng
Journal:  Biomed Environ Sci       Date:  2014-05       Impact factor: 3.118

Review 7.  Genetics of obesity.

Authors:  Stephen O'Rahilly; I Sadaf Farooqi
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2006-07-29       Impact factor: 6.237

8.  Microarray evidences the role of pathologic adipose tissue in insulin resistance and their clinical implications.

Authors:  Sandeep Kumar Mathur; Priyanka Jain; Prashant Mathur
Journal:  J Obes       Date:  2011-04-28

9.  "Predictability of body mass index for diabetes: affected by the presence of metabolic syndrome?".

Authors:  Farzad Hadaegh; Mohammadreza Bozorgmanesh; Maryam Safarkhani; Davood Khalili; Fereidoun Azizi
Journal:  BMC Public Health       Date:  2011-05-25       Impact factor: 3.295

10.  A QTL genome scan of the metabolic syndrome and its component traits.

Authors:  Matthew B McQueen; Lars Bertram; Eric B Rimm; Deborah Blacker; Susan L Santangelo
Journal:  BMC Genet       Date:  2003-12-31       Impact factor: 2.797

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