Literature DB >> 22386932

Obesity-insulin targeted genes in the 3p26-25 region in human studies and LG/J and SM/J mice.

Aldi T Kraja1, Heather A Lawson, Donna K Arnett, Ingrid B Borecki, Ulrich Broeckel, Lisa de las Fuentes, Steven C Hunt, Michael A Province, James Cheverud, D C Rao.   

Abstract

Identifying metabolic syndrome (MetS) genes is important for novel drug development and health care. This study extends the findings on human chromosome 3p26-25 for an identified obesity-insulin factor QTL, with an LOD score above 3. A focused association analysis comprising up to 9578 African American and Caucasian subjects from the HyperGEN Network (908 African Americans and 1025 whites), the Family Heart Study (3035 whites in time 1 and 1943 in time 2), and the Framingham Heart Study (1317 in Offspring and 1320 in Generation 3) was performed. The homologous mouse region was explored in an F(16) generation of an advanced intercross between the LG/J and SM/J inbred strains, in an experiment where 1002 animals were fed low-fat (247 males; 254 females) or high-fat (253 males; 248 females) diets. Association results in humans indicate pleiotropic effects for SNPs within or surrounding CNTN4 on obesity, lipids and blood pressure traits and for SNPs near IL5RA, TRNT1, CRBN, and LRRN1 on central obesity and blood pressure. Linkage analyses of this region in LG/J×SM/J mice identify a highly significant pleiotropic QTL peak for insulin and glucose levels, as well as response to glucose challenge. The mouse results show that insulin and glucose levels interact with high and low fat diets and differential gene expression was identified for Crbn and Arl8b. In humans, ARL8B resides ~137kbps away from BHLHE40, expression of which shows up-regulation in response to insulin treatment. This focused human genetic analysis, incorporating mouse research evidenced that 3p26-25 has important genetic contributions to MetS components. Several of the candidate genes have functions in the brain. Their interaction with MetS and the brain warrants further investigation.
Copyright © 2012 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22386932      PMCID: PMC3586585          DOI: 10.1016/j.metabol.2012.01.008

Source DB:  PubMed          Journal:  Metabolism        ISSN: 0026-0495            Impact factor:   8.694


  71 in total

1.  Multi-center genetic study of hypertension: The Family Blood Pressure Program (FBPP).

Authors: 
Journal:  Hypertension       Date:  2002-01       Impact factor: 10.190

2.  Promoting healthy diet and exercise patterns amongst primary school children: a qualitative investigation of parental perspectives.

Authors:  K H Hart; A Herriot; J A Bishop; H Truby
Journal:  J Hum Nutr Diet       Date:  2003-04       Impact factor: 3.089

Review 3.  The obesity epidemic: metabolic imprinting on genetically susceptible neural circuits.

Authors:  B E Levin
Journal:  Obes Res       Date:  2000-07

4.  Quantitative trait loci for abdominal fat and BMI in Hispanic-Americans and African-Americans: the IRAS Family study.

Authors:  J M Norris; C D Langefeld; A L Scherzinger; S S Rich; E Bookman; S R Beck; M F Saad; S M Haffner; R N Bergman; D W Bowden; L E Wagenknecht
Journal:  Int J Obes (Lond)       Date:  2005-01       Impact factor: 5.095

5.  Mapping short DNA sequencing reads and calling variants using mapping quality scores.

Authors:  Heng Li; Jue Ruan; Richard Durbin
Journal:  Genome Res       Date:  2008-08-19       Impact factor: 9.043

6.  Microarray analysis of genes with impaired insulin regulation in the skeletal muscle of type 2 diabetic patients indicates the involvement of basic helix-loop-helix domain-containing, class B, 2 protein (BHLHB2).

Authors:  S Rome; E Meugnier; V Lecomte; V Berbe; J Besson; C Cerutti; S Pesenti; A Granjon; E Disse; K Clement; E Lefai; M Laville; H Vidal
Journal:  Diabetologia       Date:  2009-07-10       Impact factor: 10.122

7.  Dysregulation of large-conductance Ca2+-activated K+ channel expression in nonsyndromal mental retardation due to a cereblon p.R419X mutation.

Authors:  Joseph J Higgins; Jin Hao; Barry E Kosofsky; Anjali M Rajadhyaksha
Journal:  Neurogenetics       Date:  2008-04-15       Impact factor: 2.660

8.  Alterations in resting metabolic rate as a consequence of 20 wk of endurance training: the HERITAGE Family Study.

Authors:  J H Wilmore; P R Stanforth; L A Hudspeth; J Gagnon; E W Daw; A S Leon; D C Rao; J S Skinner; C Bouchard
Journal:  Am J Clin Nutr       Date:  1998-07       Impact factor: 7.045

9.  Population structure and eigenanalysis.

Authors:  Nick Patterson; Alkes L Price; David Reich
Journal:  PLoS Genet       Date:  2006-12       Impact factor: 5.917

10.  Genetics Analysis Workshop 16 Problem 2: the Framingham Heart Study data.

Authors:  L Adrienne Cupples; Nancy Heard-Costa; Monica Lee; Larry D Atwood
Journal:  BMC Proc       Date:  2009-12-15
View more
  5 in total

Review 1.  Fine-mapping QTLs in advanced intercross lines and other outbred populations.

Authors:  Natalia M Gonzales; Abraham A Palmer
Journal:  Mamm Genome       Date:  2014-06-07       Impact factor: 2.957

2.  Genome-wide association study identifies African-ancestry specific variants for metabolic syndrome.

Authors:  Fasil Tekola-Ayele; Ayo P Doumatey; Daniel Shriner; Amy R Bentley; Guanjie Chen; Jie Zhou; Olufemi Fasanmade; Thomas Johnson; Johnnie Oli; Godfrey Okafor; Benjami A Eghan; Kofi Agyenim-Boateng; Clement Adebamowo; Albert Amoah; Joseph Acheampong; Adebowale Adeyemo; Charles N Rotimi
Journal:  Mol Genet Metab       Date:  2015-10-23       Impact factor: 4.797

3.  Using whole-genome sequences of the LG/J and SM/J inbred mouse strains to prioritize quantitative trait genes and nucleotides.

Authors:  Igor Nikolskiy; Donald F Conrad; Sung Chun; Justin C Fay; James M Cheverud; Heather A Lawson
Journal:  BMC Genomics       Date:  2015-05-28       Impact factor: 3.969

4.  The uniform-score gene set analysis for identifying common pathways associated with different diabetes traits.

Authors:  Hao Mei; Lianna Li; Shijian Liu; Fan Jiang; Michael Griswold; Thomas Mosley
Journal:  BMC Genomics       Date:  2015-04-23       Impact factor: 3.969

5.  Disruption of the cereblon gene enhances hepatic AMPK activity and prevents high-fat diet-induced obesity and insulin resistance in mice.

Authors:  Kwang Min Lee; Seung-Joo Yang; Yong Deuk Kim; Yoo Duk Choi; Jong Hee Nam; Cheol Soo Choi; Hueng-Sik Choi; Chul-Seung Park
Journal:  Diabetes       Date:  2013-01-24       Impact factor: 9.461

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.