Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Advertisement

Nature Precedings
  • View all journals
  • Search
  • My Account Login
  • Content Explore content
  • About the journal
  • RSS feed
  1. nature
  2. nature precedings
  3. articles
  4. article
Polymorphisms of the ENPP1 gene are not associated with type 2 diabetes or obesity in the Chinese Han population
Download PDF
Download PDF
  • Manuscript
  • Open access
  • Published: 01 April 2008

Polymorphisms of the ENPP1 gene are not associated with type 2 diabetes or obesity in the Chinese Han population

  • Teng Zhao1,
  • Di Zhang1,
  • Yun Liu1,
  • Daizhan Zhou1,
  • Zhuo Chen1,
  • Sheng Li1,
  • Lan Yu1,
  • Simin Liu2,
  • Zuofeng Zhang2,
  • Guoyin Feng3,
  • Lin He3 &
  • …
  • He Xu1 

Nature Precedings (2008)Cite this article

  • 624 Accesses

  • Metrics details

Abstract

*Objective:*

Type 2 Diabetes mellitus is a metabolic disorder characterized by chronic hyperglycemia and with a major feature of insulin resistance. Genetic association studies have suggested that ENPP1 might play a potential role in susceptibility to type 2 diabetes and obesity. Our study aimed to examine the association between ENPP1 and type 2 diabetes and obesity.*Design:* Association study between two SNPs, rs1044498 (K121Q) and rs7754561 of ENPP1 and diabetes and obesity in the Chinese Han population.*Subjects:* 1912 unrelated patients (785 male and 1127 female with a mean age 63.8 ± 9 years), 236 IFG/IGT subjects (83 male and 153 female with a mean age 64 ± 9 years) and 2041 controls (635 male and 1406 female with a mean age 58 ± 9 years). *Measurements:* Subjects were genotyped for two SNPs using TaqMan technology on an ABI7900 system and tested by regression analysis.

*Results:*

By logistic regression analysis, rs1044498 (K121Q) and rs7754561 showed no statistical association with type 2 diabetes, obesity under additive, dominant and recessive models either before or after adjusting for sex and age. Haplotype analysis found a marginal association of haplotype C-G (p=0.05) which was reported in the previous study.*Conclusion:* Our investigation did not replicated the positive association found previously and suggested that the polymorphisms of ENPP1 might not play a major role in the susceptibility to type 2 diabetes or obesity in the Chinese Han population.

Similar content being viewed by others

Single nucleotide polymorphisms (SNPs) that are associated with obesity and type 2 diabetes among Asians: a systematic review and meta-analysis

Article Open access 29 August 2024

The rs2341471-G/G genotype of activating transcription factor 6 (ATF6) is the risk factor of type 2 diabetes in subjects with obesity or overweight

Article 12 August 2024

Baseline clinical and biochemical profiles of type 2 diabetes patients enrolled in a lifestyle management program in India, a cross-sectional study

Article Open access 25 March 2025

Article PDF

Author information

Authors and Affiliations

  1. Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences https://www.nature.com/nature

    Teng Zhao, Di Zhang, Yun Liu, Daizhan Zhou, Zhuo Chen, Sheng Li, Lan Yu & He Xu

  2. Department of Epidemiology, UCLA School of Public Health https://www.nature.com/nature

    Simin Liu & Zuofeng Zhang

  3. Bio-X Center, Shanghai Jiao Tong University https://www.nature.com/nature

    Guoyin Feng & Lin He

Authors
  1. Teng Zhao
    View author publications

    Search author on:PubMed Google Scholar

  2. Di Zhang
    View author publications

    Search author on:PubMed Google Scholar

  3. Yun Liu
    View author publications

    Search author on:PubMed Google Scholar

  4. Daizhan Zhou
    View author publications

    Search author on:PubMed Google Scholar

  5. Zhuo Chen
    View author publications

    Search author on:PubMed Google Scholar

  6. Sheng Li
    View author publications

    Search author on:PubMed Google Scholar

  7. Lan Yu
    View author publications

    Search author on:PubMed Google Scholar

  8. Simin Liu
    View author publications

    Search author on:PubMed Google Scholar

  9. Zuofeng Zhang
    View author publications

    Search author on:PubMed Google Scholar

  10. Guoyin Feng
    View author publications

    Search author on:PubMed Google Scholar

  11. Lin He
    View author publications

    Search author on:PubMed Google Scholar

  12. He Xu
    View author publications

    Search author on:PubMed Google Scholar

Corresponding author

Correspondence to Lin He.

Rights and permissions

Creative Commons Attribution 3.0 License.

Reprints and permissions

About this article

Cite this article

Zhao, T., Zhang, D., Liu, Y. et al. Polymorphisms of the ENPP1 gene are not associated with type 2 diabetes or obesity in the Chinese Han population. Nat Prec (2008). https://doi.org/10.1038/npre.2008.1742.1

Download citation

  • Received: 31 March 2008

  • Accepted: 01 April 2008

  • Published: 01 April 2008

  • DOI: https://doi.org/10.1038/npre.2008.1742.1

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Keywords

  • Single Nucleotide Polymorphism
  • diabetes
  • Obesity
  • Chinese
  • ENPP1
  • SNP
Download PDF

Advertisement

Explore content

  • Research articles
  • News & Comment
  • Sign up for alerts
  • RSS feed

About the journal

  • Journal Information

Search

Advanced search

Quick links

  • Explore articles by subject
  • Find a job
  • Guide to authors
  • Editorial policies

Nature Precedings (Nat Preced)

nature.com sitemap

About Nature Portfolio

  • About us
  • Press releases
  • Press office
  • Contact us

Discover content

  • Journals A-Z
  • Articles by subject
  • protocols.io
  • Nature Index

Publishing policies

  • Nature portfolio policies
  • Open access

Author & Researcher services

  • Reprints & permissions
  • Research data
  • Language editing
  • Scientific editing
  • Nature Masterclasses
  • Research Solutions

Libraries & institutions

  • Librarian service & tools
  • Librarian portal
  • Open research
  • Recommend to library

Advertising & partnerships

  • Advertising
  • Partnerships & Services
  • Media kits
  • Branded content

Professional development

  • Nature Awards
  • Nature Careers
  • Nature Conferences

Regional websites

  • Nature Africa
  • Nature China
  • Nature India
  • Nature Japan
  • Nature Middle East
  • Privacy Policy
  • Use of cookies
  • Legal notice
  • Accessibility statement
  • Terms & Conditions
  • Your US state privacy rights
Springer Nature

© 2025 Springer Nature Limited

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing