Literature DB >> 23945395

Genome-wide association study identifies three novel loci for type 2 diabetes.

Kazuo Hara1, Hayato Fujita, Todd A Johnson, Toshimasa Yamauchi, Kazuki Yasuda, Momoko Horikoshi, Chen Peng, Cheng Hu, Ronald C W Ma, Minako Imamura, Minoru Iwata, Tatsuhiko Tsunoda, Takashi Morizono, Nobuhiro Shojima, Wing Yee So, Ting Fan Leung, Patrick Kwan, Rong Zhang, Jie Wang, Weihui Yu, Hiroshi Maegawa, Hiroshi Hirose, Kohei Kaku, Chikako Ito, Hirotaka Watada, Yasushi Tanaka, Kazuyuki Tobe, Atsunori Kashiwagi, Ryuzo Kawamori, Weiping Jia, Juliana C N Chan, Yik Ying Teo, Tai E Shyong, Naoyuki Kamatani, Michiaki Kubo, Shiro Maeda, Takashi Kadowaki.   

Abstract

Although over 60 loci for type 2 diabetes (T2D) have been identified, there still remains a large genetic component to be clarified. To explore unidentified loci for T2D, we performed a genome-wide association study (GWAS) of 6 209 637 single-nucleotide polymorphisms (SNPs), which were directly genotyped or imputed using East Asian references from the 1000 Genomes Project (June 2011 release) in 5976 Japanese patients with T2D and 20 829 nondiabetic individuals. Nineteen unreported loci were selected and taken forward to follow-up analyses. Combined discovery and follow-up analyses (30 392 cases and 34 814 controls) identified three new loci with genome-wide significance, which were MIR129-LEP [rs791595; risk allele = A; risk allele frequency (RAF) = 0.080; P = 2.55 × 10(-13); odds ratio (OR) = 1.17], GPSM1 [rs11787792; risk allele = A; RAF = 0.874; P = 1.74 × 10(-10); OR = 1.15] and SLC16A13 (rs312457; risk allele = G; RAF = 0.078; P = 7.69 × 10(-13); OR = 1.20). This study demonstrates that GWASs based on the imputation of genotypes using modern reference haplotypes such as that from the 1000 Genomes Project data can assist in identification of new loci for common diseases.

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Year:  2013        PMID: 23945395     DOI: 10.1093/hmg/ddt399

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  66 in total

1.  Selecting causal genes from genome-wide association studies via functionally coherent subnetworks.

Authors:  Murat Taşan; Gabriel Musso; Tong Hao; Marc Vidal; Calum A MacRae; Frederick P Roth
Journal:  Nat Methods       Date:  2014-12-22       Impact factor: 28.547

Review 2.  Progress in Defining the Genetic Contribution to Type 2 Diabetes in Individuals of East Asian Ancestry.

Authors:  Cassandra N Spracklen; Xueling Sim
Journal:  Curr Diab Rep       Date:  2021-04-13       Impact factor: 4.810

3.  Type 2 Diabetes Variants Disrupt Function of SLC16A11 through Two Distinct Mechanisms.

Authors:  Victor Rusu; Eitan Hoch; Josep M Mercader; Danielle E Tenen; Melissa Gymrek; Christina R Hartigan; Michael DeRan; Marcin von Grotthuss; Pierre Fontanillas; Alexandra Spooner; Gaelen Guzman; Amy A Deik; Kerry A Pierce; Courtney Dennis; Clary B Clish; Steven A Carr; Bridget K Wagner; Monica Schenone; Maggie C Y Ng; Brian H Chen; Federico Centeno-Cruz; Carlos Zerrweck; Lorena Orozco; David M Altshuler; Stuart L Schreiber; Jose C Florez; Suzanne B R Jacobs; Eric S Lander
Journal:  Cell       Date:  2017-06-29       Impact factor: 41.582

Review 4.  Genetic susceptibility to type 2 diabetes and obesity: from genome-wide association studies to rare variants and beyond.

Authors:  Niels Grarup; Camilla H Sandholt; Torben Hansen; Oluf Pedersen
Journal:  Diabetologia       Date:  2014-05-24       Impact factor: 10.122

5.  Genetic Determinants of Type 2 Diabetes in Asians.

Authors:  Q Qi; X Wang; G Strizich; T Wang
Journal:  Int J Diabetol Vasc Dis Res       Date:  2015-03-12

Review 6.  Insights into the genetic susceptibility to type 2 diabetes from genome-wide association studies of glycaemic traits.

Authors:  Letizia Marullo; Julia S El-Sayed Moustafa; Inga Prokopenko
Journal:  Curr Diab Rep       Date:  2014       Impact factor: 4.810

Review 7.  Genomics of Islet (Dys)function and Type 2 Diabetes.

Authors:  Nathan Lawlor; Shubham Khetan; Duygu Ucar; Michael L Stitzel
Journal:  Trends Genet       Date:  2017-02-27       Impact factor: 11.639

8.  Influence of Genetic Ancestry on Human Serum Proteome.

Authors:  Jennifer Sjaarda; Hertzel C Gerstein; Zoltan Kutalik; Pedrum Mohammadi-Shemirani; Marie Pigeyre; Sibylle Hess; Guillaume Paré
Journal:  Am J Hum Genet       Date:  2020-02-13       Impact factor: 11.025

Review 9.  The remedy within: will the microbiome fulfill its therapeutic promise?

Authors:  Christoph A Thaiss; Eran Elinav
Journal:  J Mol Med (Berl)       Date:  2017-06-27       Impact factor: 4.599

10.  Activator of G protein signaling 3 forms a complex with resistance to inhibitors of cholinesterase-8A without promoting nucleotide exchange on Gα(i3).

Authors:  Man K Tse; Christina J Morris; Mingjie Zhang; Yung H Wong
Journal:  Mol Cell Biochem       Date:  2014-12-06       Impact factor: 3.396

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