Literature DB >> 21150884

Relation of a common variant of the adiponectin gene to serum adiponectin concentration and metabolic traits in an aged Japanese population.

Daisuke Tanimura1, Rei Shibata, Hideo Izawa, Akihiro Hirashiki, Hiroyuki Asano, Yosuke Murase, Seiko Miyata, Masahiro Nakatochi, Noriyuki Ouchi, Sahoko Ichihara, Kenji Yasui, Tsutomu Yoshida, Keiko Naruse, Tatsuaki Matsubara, Mitsuhiro Yokota.   

Abstract

Adiponectin is an adipocyte-derived protein that is down-regulated in obesity-linked disorders. Variants of the adiponectin gene (ADIPOQ) have been shown to affect adiponectin level. We have now examined the relation of polymorphisms of ADIPOQ to adiponectin concentration and to metabolic disorders in the Kita-Nagoya Genomic Epidemiology study, a population-based study of elderly Japanese. The genomic region including ADIPOQ was genotyped for 30 single nucleotide polymorphisms in 500 subjects of a screening population with the use of a fluorescence- or colorimetry-based allele-specific DNA primer-probe assay system. Four polymorphisms were then selected for genotyping in an additional 2797 subjects. Serum adiponectin level was negatively associated with metabolic abnormalities after adjustment for age and sex. The minor alleles of the rs1656930, Ile164Thr, and rs9882205 polymorphisms were associated with a low serum adiponectin level. Whereas the minor alleles of rs1656930 and rs9882205 were common (minor allele frequency of 6.2 and 38.5%, respectively), that of Ile164Thr was rare (0.9%). The minor allele of rs1656930 was positively associated with systolic blood pressure and the prevalence of hypertension. The association of rs1656930 with adiponectin level was replicated in an independent population. A subject with the 164Thr/Thr genotype had an extremely low serum adiponectin level (0.6 μg/ml) and the phenotype of metabolic syndrome. Our results suggest that a common variant of ADIPOQ, the minor allele of rs1656930, is associated with hypoadiponectinemia and hypertension. Screening for a common genetic background underlying low adiponectin levels might provide important information for assessment and management of metabolic disorders.
© 2011 Macmillan Publishers Limited All rights reserved 1018-4813/11

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 21150884      PMCID: PMC3062002          DOI: 10.1038/ejhg.2010.201

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  41 in total

1.  The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men.

Authors:  Hanna-Maaria Lakka; David E Laaksonen; Timo A Lakka; Leo K Niskanen; Esko Kumpusalo; Jaakko Tuomilehto; Jukka T Salonen
Journal:  JAMA       Date:  2002-12-04       Impact factor: 56.272

2.  Novel modulator for endothelial adhesion molecules: adipocyte-derived plasma protein adiponectin.

Authors:  N Ouchi; S Kihara; Y Arita; K Maeda; H Kuriyama; Y Okamoto; K Hotta; M Nishida; M Takahashi; T Nakamura; S Yamashita; T Funahashi; Y Matsuzawa
Journal:  Circulation       Date:  1999 Dec 21-28       Impact factor: 29.690

3.  Hypoadiponectinemia in obesity and type 2 diabetes: close association with insulin resistance and hyperinsulinemia.

Authors:  C Weyer; T Funahashi; S Tanaka; K Hotta; Y Matsuzawa; R E Pratley; P A Tataranni
Journal:  J Clin Endocrinol Metab       Date:  2001-05       Impact factor: 5.958

4.  Twenty-year changes in the prevalence of overweight in Japanese adults: the National Nutrition Survey 1976-95.

Authors:  N Yoshiike; F Seino; S Tajima; Y Arai; M Kawano; T Furuhata; S Inoue
Journal:  Obes Rev       Date:  2002-08       Impact factor: 9.213

5.  Clear detection of ADIPOQ locus as the major gene for plasma adiponectin: results of genome-wide association analyses including 4659 European individuals.

Authors:  Iris M Heid; Peter Henneman; Andrew Hicks; Stefan Coassin; Thomas Winkler; Yurii S Aulchenko; Christian Fuchsberger; Kijoung Song; Marie-France Hivert; Dawn M Waterworth; Nicholas J Timpson; J Brent Richards; John R B Perry; Toshiko Tanaka; Najaf Amin; Barbara Kollerits; Irene Pichler; Ben A Oostra; Barbara Thorand; Rune R Frants; Thomas Illig; Josée Dupuis; Beate Glaser; Tim Spector; Jack Guralnik; Josephine M Egan; Jose C Florez; David M Evans; Nicole Soranzo; Stefania Bandinelli; Olga D Carlson; Timothy M Frayling; Keith Burling; George Davey Smith; Vincent Mooser; Luigi Ferrucci; James B Meigs; Peter Vollenweider; Ko Willems van Dijk; Peter Pramstaller; Florian Kronenberg; Cornelia M van Duijn
Journal:  Atherosclerosis       Date:  2009-12-02       Impact factor: 5.162

6.  Adiponectin and development of type 2 diabetes in the Pima Indian population.

Authors:  Robert S Lindsay; Tohru Funahashi; Robert L Hanson; Yuji Matsuzawa; Sachiyo Tanaka; P Antonio Tataranni; William C Knowler; Jonathan Krakoff
Journal:  Lancet       Date:  2002-07-06       Impact factor: 79.321

7.  A haplotype at the adiponectin locus is associated with obesity and other features of the insulin resistance syndrome.

Authors:  Claudia Menzaghi; Tonino Ercolino; Rosa Di Paola; Anders H Berg; James H Warram; Philipp E Scherer; Vincenzo Trischitta; Alessandro Doria
Journal:  Diabetes       Date:  2002-07       Impact factor: 9.461

8.  Association of adiponectin mutation with type 2 diabetes: a candidate gene for the insulin resistance syndrome.

Authors:  Hidehiko Kondo; Iichiro Shimomura; Yuko Matsukawa; Masahiro Kumada; Masahiko Takahashi; Morihiro Matsuda; Noriyuki Ouchi; Shinji Kihara; Toshiharu Kawamoto; Satoru Sumitsuji; Tohru Funahashi; Yuji Matsuzawa
Journal:  Diabetes       Date:  2002-07       Impact factor: 9.461

9.  Genetic variation in the gene encoding adiponectin is associated with an increased risk of type 2 diabetes in the Japanese population.

Authors:  Kazuo Hara; Philippe Boutin; Yasumichi Mori; Kazuyuki Tobe; Christian Dina; Kazuki Yasuda; Toshimasa Yamauchi; Shuichi Otabe; Terumasa Okada; Kazuhiro Eto; Hiroko Kadowaki; Ryoko Hagura; Yasuo Akanuma; Yoshio Yazaki; Ryozo Nagai; Matsuo Taniyama; Koichi Matsubara; Madoka Yoda; Yasuko Nakano; Motowo Tomita; Satoshi Kimura; Chikako Ito; Philippe Froguel; Takashi Kadowaki
Journal:  Diabetes       Date:  2002-02       Impact factor: 9.461

10.  Single-nucleotide polymorphism haplotypes in the both proximal promoter and exon 3 of the APM1 gene modulate adipocyte-secreted adiponectin hormone levels and contribute to the genetic risk for type 2 diabetes in French Caucasians.

Authors:  Francis Vasseur; Nicole Helbecque; Christian Dina; Stéphane Lobbens; Valérie Delannoy; Stéphane Gaget; Philippe Boutin; Martine Vaxillaire; Frédéric Leprêtre; Sophie Dupont; Kazuo Hara; Karine Clément; Bernard Bihain; Takashi Kadowaki; Philippe Froguel
Journal:  Hum Mol Genet       Date:  2002-10-01       Impact factor: 6.150

View more
  5 in total

1.  Population-specific coding variant underlies genome-wide association with adiponectin level.

Authors:  Damien C Croteau-Chonka; Ying Wu; Yun Li; Marie P Fogarty; Leslie A Lange; Christopher W Kuzawa; Thomas W McDade; Judith B Borja; Jingchun Luo; Omar AbdelBaky; Terry P Combs; Linda S Adair; Ethan M Lange; Karen L Mohlke
Journal:  Hum Mol Genet       Date:  2011-10-18       Impact factor: 6.150

2.  Polymorphisms of the adiponectin gene in gestational hypertension and pre-eclampsia.

Authors:  J S R Machado; A C T Palei; L M Amaral; A C Bueno; S R Antonini; G Duarte; J E Tanus-Santos; V C Sandrim; R C Cavalli
Journal:  J Hum Hypertens       Date:  2013-06-27       Impact factor: 3.012

3.  Significant association of RNF213 p.R4810K, a moyamoya susceptibility variant, with coronary artery disease.

Authors:  Takaaki Morimoto; Yohei Mineharu; Koh Ono; Masahiro Nakatochi; Sahoko Ichihara; Risako Kabata; Yasushi Takagi; Yang Cao; Lanying Zhao; Hatasu Kobayashi; Kouji H Harada; Katsunobu Takenaka; Takeshi Funaki; Mitsuhiro Yokota; Tatsuaki Matsubara; Ken Yamamoto; Hideo Izawa; Takeshi Kimura; Susumu Miyamoto; Akio Koizumi
Journal:  PLoS One       Date:  2017-04-17       Impact factor: 3.240

4.  Combinational risk factors of metabolic syndrome identified by fuzzy neural network analysis of health-check data.

Authors:  Yasunori Ushida; Ryuji Kato; Kosuke Niwa; Daisuke Tanimura; Hideo Izawa; Kenji Yasui; Tomokazu Takase; Yasuko Yoshida; Mitsuo Kawase; Tsutomu Yoshida; Toyoaki Murohara; Hiroyuki Honda
Journal:  BMC Med Inform Decis Mak       Date:  2012-08-01       Impact factor: 2.796

5.  Epigenome-wide association of myocardial infarction with DNA methylation sites at loci related to cardiovascular disease.

Authors:  Masahiro Nakatochi; Sahoko Ichihara; Ken Yamamoto; Keiko Naruse; Shigeki Yokota; Hiroyuki Asano; Tatsuaki Matsubara; Mitsuhiro Yokota
Journal:  Clin Epigenetics       Date:  2017-05-15       Impact factor: 6.551

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.