Literature DB >> 21084393

Type 2 diabetes (T2D) associated polymorphisms regulate expression of adjacent transcripts in transformed lymphocytes, adipose, and muscle from Caucasian and African-American subjects.

Neeraj K Sharma1, Kurt A Langberg, Ashis K Mondal, Steven C Elbein, Swapan K Das.   

Abstract

CONTEXT: Genome-wide association scans (GWAS) have identified novel single nucleotide polymorphisms (SNPs) that increase T2D susceptibility and indicated the role of nearby genes in T2D pathogenesis.
OBJECTIVE: We hypothesized that T2D-associated SNPs act as cis-regulators of nearby genes in human tissues and that expression of these transcripts may correlate with metabolic traits, including insulin sensitivity (S(I)). DESIGN, SETTINGS, AND PATIENTS: Association of SNPs with the expression of their nearest transcripts was tested in adipose and muscle from 168 healthy individuals who spanned a broad range of S(I) and body mass index (BMI) and in transformed lymphocytes (TLs). We tested correlations between the expression of these transcripts in adipose and muscle with metabolic traits. Utilizing allelic expression imbalance (AEI) analysis we examined the presence of other cis-regulators for those transcripts in TLs.
RESULTS: SNP rs9472138 was significantly (P = 0.037) associated with the expression of VEGFA in TLs while rs6698181 was detected as a cis-regulator for the PKN2 in muscle (P = 0.00027) and adipose (P = 0.018). Significant association was also observed for rs17036101 (P = 0.001) with expression of SYN2 in adipose of Caucasians. Among 19 GWAS-implicated transcripts, expression of VEGFA in adipose was correlated with BMI (r = -0.305) and S(I) (r = 0.230). Although only a minority of the T2D-associated SNPs were validated as cis-eQTLs for nearby transcripts, AEI analysis indicated presence of other cis-regulatory polymorphisms in 54% of these transcripts.
CONCLUSIONS: Our study suggests that a small subset of GWAS-identified SNPs may increase T2D susceptibility by modulating expression of nearby transcripts in adipose or muscle.

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Year:  2010        PMID: 21084393      PMCID: PMC3048324          DOI: 10.1210/jc.2010-1754

Source DB:  PubMed          Journal:  J Clin Endocrinol Metab        ISSN: 0021-972X            Impact factor:   5.958


  35 in total

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Review 2.  Genomics of type 2 diabetes mellitus: implications for the clinician.

Authors:  Elliot S Stolerman; Jose C Florez
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3.  Trait-associated SNPs are more likely to be eQTLs: annotation to enhance discovery from GWAS.

Authors:  Dan L Nicolae; Eric Gamazon; Wei Zhang; Shiwei Duan; M Eileen Dolan; Nancy J Cox
Journal:  PLoS Genet       Date:  2010-04-01       Impact factor: 5.917

4.  Candidate causal regulatory effects by integration of expression QTLs with complex trait genetic associations.

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Journal:  PLoS Genet       Date:  2010-04-01       Impact factor: 5.917

5.  Liver and adipose expression associated SNPs are enriched for association to type 2 diabetes.

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Journal:  PLoS Genet       Date:  2010-05-06       Impact factor: 5.917

Review 6.  The emerging genetic architecture of type 2 diabetes.

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7.  Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels.

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8.  Relation between human LPIN1, hypoxia and endoplasmic reticulum stress genes in subcutaneous and visceral adipose tissue.

Authors:  M Miranda; X Escoté; V Ceperuelo-Mallafré; A Megía; E Caubet; S Näf; J M Gómez; J M González-Clemente; V Vicente; J Vendrell
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9.  Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes.

Authors:  Eleftheria Zeggini; Michael N Weedon; Cecilia M Lindgren; Timothy M Frayling; Katherine S Elliott; Hana Lango; Nicholas J Timpson; John R B Perry; Nigel W Rayner; Rachel M Freathy; Jeffrey C Barrett; Beverley Shields; Andrew P Morris; Sian Ellard; Christopher J Groves; Lorna W Harries; Jonathan L Marchini; Katharine R Owen; Beatrice Knight; Lon R Cardon; Mark Walker; Graham A Hitman; Andrew D Morris; Alex S F Doney; Mark I McCarthy; Andrew T Hattersley
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10.  Association analysis in african americans of European-derived type 2 diabetes single nucleotide polymorphisms from whole-genome association studies.

Authors:  Joshua P Lewis; Nicholette D Palmer; Pamela J Hicks; Michele M Sale; Carl D Langefeld; Barry I Freedman; Jasmin Divers; Donald W Bowden
Journal:  Diabetes       Date:  2008-04-28       Impact factor: 9.461

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  13 in total

1.  The effect of ACACB cis-variants on gene expression and metabolic traits.

Authors:  Lijun Ma; Ashis K Mondal; Mariana Murea; Neeraj K Sharma; Anke Tönjes; Kurt A Langberg; Swapan K Das; Paul W Franks; Peter Kovacs; Peter A Antinozzi; Michael Stumvoll; John S Parks; Steven C Elbein; Barry I Freedman
Journal:  PLoS One       Date:  2011-08-26       Impact factor: 3.240

2.  Tissue-Specific and Genetic Regulation of Insulin Sensitivity-Associated Transcripts in African Americans.

Authors:  Neeraj K Sharma; Satria P Sajuthi; Jeff W Chou; Jorge Calles-Escandon; Jamehl Demons; Samantha Rogers; Lijun Ma; Nicholette D Palmer; David R McWilliams; John Beal; Mary E Comeau; Kristina Cherry; Gregory A Hawkins; Lata Menon; Ethel Kouba; Donna Davis; Marcie Burris; Sara J Byerly; Linda Easter; Donald W Bowden; Barry I Freedman; Carl D Langefeld; Swapan K Das
Journal:  J Clin Endocrinol Metab       Date:  2016-01-20       Impact factor: 5.958

3.  Improved detection of genetic loci in estimated glomerular filtration rate and type 2 diabetes using a pleiotropic cFDR method.

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Journal:  Mol Genet Genomics       Date:  2017-10-16       Impact factor: 3.291

4.  An integrative genomics approach identifies activation of thioredoxin/thioredoxin reductase-1-mediated oxidative stress defense pathway and inhibition of angiogenesis in obese nondiabetic human subjects.

Authors:  Swapan K Das; Neeraj K Sharma; Sandra J Hasstedt; Ashis K Mondal; Lijun Ma; Kurt A Langberg; Steven C Elbein
Journal:  J Clin Endocrinol Metab       Date:  2011-05-18       Impact factor: 5.958

5.  Allelic expression imbalance screening of genes in chromosome 1q21-24 region to identify functional variants for Type 2 diabetes susceptibility.

Authors:  Ashis K Mondal; Neeraj K Sharma; Steven C Elbein; Swapan K Das
Journal:  Physiol Genomics       Date:  2013-05-14       Impact factor: 3.107

Review 6.  Expression quantitative trait analyses to identify causal genetic variants for type 2 diabetes susceptibility.

Authors:  Swapan Kumar Das; Neeraj Kumar Sharma
Journal:  World J Diabetes       Date:  2014-04-15

7.  GWA-based pleiotropic analysis identified potential SNPs and genes related to type 2 diabetes and obesity.

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8.  Phospholipid biosynthesis genes and susceptibility to obesity: analysis of expression and polymorphisms.

Authors:  Neeraj K Sharma; Kurt A Langberg; Ashis K Mondal; Swapan K Das
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9.  Diabetes genes identified by genome-wide association studies are regulated in mice by nutritional factors in metabolically relevant tissues and by glucose concentrations in islets.

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10.  Allele-specific transcriptional activity at type 2 diabetes-associated single nucleotide polymorphisms in regions of pancreatic islet open chromatin at the JAZF1 locus.

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