Literature DB >> 24405752

Genome-wide association study identifies common loci influencing circulating glycated hemoglobin (HbA1c) levels in non-diabetic subjects: the Long Life Family Study (LLFS).

Ping An1, Iva Miljkovic2, Bharat Thyagarajan3, Aldi T Kraja4, E Warwick Daw4, James S Pankow5, Elizabeth Selvin6, W H Linda Kao6, Nisa M Maruthur7, Micahel A Nalls8, Yongmei Liu9, Tamara B Harris10, Joseph H Lee11, Ingrid B Borecki4, Kaare Christensen12, John H Eckfeldt3, Richard Mayeux11, Thomas T Perls13, Anne B Newman2, Michael A Province4.   

Abstract

OBJECTIVE: Glycated hemoglobin (HbA1c) is a stable index of chronic glycemic status and hyperglycemia associated with progressive development of insulin resistance and frank diabetes. It is also associated with premature aging and increased mortality. To uncover novel loci for HbA1c that are associated with healthy aging, we conducted a genome-wide association study (GWAS) using non-diabetic participants in the Long Life Family Study (LLFS), a study with familial clustering of exceptional longevity in the US and Denmark.
METHODS: A total of 4088 non-diabetic subjects from the LLFS were used for GWAS discoveries, and a total of 8231 non-diabetic subjects from the Atherosclerosis Risk in Communities Study (ARIC, in the MAGIC Consortium) and the Health, Aging, and Body Composition Study (HABC) were used for GWAS replications. HbA1c was adjusted for age, sex, centers, 20 principal components, without and with BMI. A linear mixed effects model was used for association testing.
RESULTS: Two known loci at GCK rs730497 (or rs2908282) and HK1 rs17476364 were confirmed (p<5e-8). Of 25 suggestive (5e-8<p<1e-5) loci, one known (G6PC2 rs560887, replication p=5e-5) and one novel (OR10R3P/SPTA1- rs12041363, replication p=1e-17) loci were replicated (p<0.0019). Similar findings resulted when HbA1c was further adjusted for BMI. Further validations are crucial for the remaining suggestive loci including the emerged variant near OR10R3P/SPTA1.
CONCLUSIONS: The analysis reconfirmed two known GWAS loci (GCK, HK1) and identified 25 suggestive loci including one reconfirmed variant in G6PC2 and one replicated variant near OR10R3P/SPTA1. Future focused survey of sequence elements containing mainly functional and regulatory variants may yield additional findings.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Genome-wide association study; Glucose; Insulin resistance and diabetes; Non-enzymatic glycation; Premature aging processes

Mesh:

Substances:

Year:  2013        PMID: 24405752      PMCID: PMC3965585          DOI: 10.1016/j.metabol.2013.11.018

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


  27 in total

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Authors: 
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Journal:  PLoS Genet       Date:  2006-07-10       Impact factor: 5.917

10.  Novel association of HK1 with glycated hemoglobin in a non-diabetic population: a genome-wide evaluation of 14,618 participants in the Women's Genome Health Study.

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6.  Genome-wide meta-analysis in Japanese populations identifies novel variants at the TMC6-TMC8 and SIX3-SIX2 loci associated with HbA1c.

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7.  Associations of variants In the hexokinase 1 and interleukin 18 receptor regions with oxyhemoglobin saturation during sleep.

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Journal:  PLoS Genet       Date:  2019-04-16       Impact factor: 5.917

8.  Modelling the Interplay between Lifestyle Factors and Genetic Predisposition on Markers of Type 2 Diabetes Mellitus Risk.

Authors:  Celia G Walker; Ivonne Solis-Trapala; Christina Holzapfel; Gina L Ambrosini; Nicholas R Fuller; Ruth J F Loos; Hans Hauner; Ian D Caterson; Susan A Jebb
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9.  Candidate gene resequencing to identify rare, pedigree-specific variants influencing healthy aging phenotypes in the long life family study.

Authors:  Todd E Druley; Lihua Wang; Shiow J Lin; Joseph H Lee; Qunyuan Zhang; E Warwick Daw; Haley J Abel; Sara E Chasnoff; Enrique I Ramos; Benjamin T Levinson; Bharat Thyagarajan; Anne B Newman; Kaare Christensen; Richard Mayeux; Michael A Province
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10.  Genetic associations for two biological age measures point to distinct aging phenotypes.

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