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Adiponectin concentrations: A genome-wide association study

  • Sun Ha Jee
  • , Jae Woong Sull
  • , Jong Eun Lee
  • , Chol Shin
  • , Jongkeun Park
  • , Heejin Kimm
  • , Eun Young Cho
  • , Eun Soon Shin
  • , Ji Eun Yun
  • , Ji Wan Park
  • , Sang Yeun Kim
  • , Sun Ju Lee
  • , Eun Jung Jee
  • , Inkyung Baik
  • , Linda Kao
  • , Sungjoo Kim Yoon
  • , Yangsoo Jang
  • , Terri H. Beaty
  • Yonsei University
  • Johns Hopkins University
  • Eulji University
  • DNA Link
  • Korea University
  • The Catholic University of Korea
  • Hallym University
  • Kookmin University

Research output: Contribution to journalArticlepeer-review

141 Scopus citations

Abstract

Adiponectin is associated with obesity and insulin resistance. To date, there has been no genome-wide association study (GWAS) of adiponectin levels in Asians. Here we present a GWAS of a cohort of Korean volunteers. A total of 4,001 subjects were genotyped by using a genome-wide marker panel in a two-stage design (979 subjects initially and 3,022 in a second stage). Another 2,304 subjects were used for follow-up replication studies with selected markers. In the discovery phase, the top SNP associated with mean log adiponectin was rs3865188 in CDH13 on chromosome 16 (p = 1.69 × 10-15 in the initial sample, p = 6.58 × 10-39 in the second genome-wide sample, and p = 2.12 × 10-32 in the replication sample). The meta-analysis p value for rs3865188 in all 6,305 individuals was 2.82 × 10-83. The association of rs3865188 with high-molecular-weight adiponectin (p = 7.36 × 10-58) was even stronger in the third sample. A reporter assay that evaluated the effects of a CDH13 promoter SNP in complete linkage disequilibrium with rs3865188 revealed that the major allele increased expression 2.2-fold. This study clearly shows that genetic variants in CDH13 influence adiponectin levels in Korean adults.

Original languageEnglish
Pages (from-to)545-552
Number of pages8
JournalAmerican Journal of Human Genetics
Volume87
Issue number4
DOIs
StatePublished - 8 Oct 2010

Bibliographical note

Funding Information:
This study was funded by the Seoul R&BD Program (10526) and was partially supported by a grant from the Korea Healthcare Technology R&D Project, Ministry for Health, Welfare and Family Affairs, Republic of Korea (A000385).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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