Literature DB >> 24105470

A meta-analysis of genome-wide association studies for adiponectin levels in East Asians identifies a novel locus near WDR11-FGFR2.

Ying Wu1, He Gao, Huaixing Li, Yasuharu Tabara, Masahiro Nakatochi, Yen-Feng Chiu, Eun Jung Park, Wanqing Wen, Linda S Adair, Judith B Borja, Qiuyin Cai, Yi-Cheng Chang, Peng Chen, Damien C Croteau-Chonka, Marie P Fogarty, Wei Gan, Chih-Tsueng He, Chao A Hsiung, Chii-Min Hwu, Sahoko Ichihara, Michiya Igase, Jaeseong Jo, Norihiro Kato, Ryuichi Kawamoto, Christophor W Kuzawa, Jeannette J M Lee, Jianjun Liu, Ling Lu, Thomas W McDade, Haruhiko Osawa, Wayne H-H Sheu, Yvonne Teo, Swarooparani Vadlamudi, Rob M Van Dam, Yiqin Wang, Yong-Bing Xiang, Ken Yamamoto, Xingwang Ye, Terri L Young, Wei Zheng, Jingwen Zhu, Xiao-Ou Shu, Chol Shin, Sun Ha Jee, Lee-Ming Chuang, Tetsuro Miki, Mitsuhiro Yokota, Xu Lin, Karen L Mohlke, E Shyong Tai.   

Abstract

Blood levels of adiponectin, an adipocyte-secreted protein correlated with metabolic and cardiovascular risks, are highly heritable. Genome-wide association (GWA) studies for adiponectin levels have identified 14 loci harboring variants associated with blood levels of adiponectin. To identify novel adiponectin-associated loci, particularly those of importance in East Asians, we conducted a meta-analysis of GWA studies for adiponectin in 7827 individuals, followed by two stages of replications in 4298 and 5954 additional individuals. We identified a novel adiponectin-associated locus on chromosome 10 near WDR11-FGFR2 (P = 3.0 × 10(-14)) and provided suggestive evidence for a locus on chromosome 12 near OR8S1-LALBA (P = 1.2 × 10(-7)). Of the adiponectin-associated loci previously described, we confirmed the association at CDH13 (P = 6.8 × 10(-165)), ADIPOQ (P = 1.8 × 10(-22)), PEPD (P = 3.6 × 10(-12)), CMIP (P = 2.1 × 10(-10)), ZNF664 (P = 2.3 × 10(-7)) and GPR109A (P = 7.4 × 10(-6)). Conditional analysis at ADIPOQ revealed a second signal with suggestive evidence of association only after conditioning on the lead SNP (Pinitial = 0.020; Pconditional = 7.0 × 10(-7)). We further confirmed the independence of two pairs of closely located loci (<2 Mb) on chromosome 16 at CMIP and CDH13, and on chromosome 12 at GPR109A and ZNF664. In addition, the newly identified signal near WDR11-FGFR2 exhibited evidence of association with triglycerides (P = 3.3 × 10(-4)), high density lipoprotein cholesterol (HDL-C, P = 4.9 × 10(-4)) and body mass index (BMI)-adjusted waist-hip ratio (P = 9.8 × 10(-3)). These findings improve our knowledge of the genetic basis of adiponectin variation, demonstrate the shared allelic architecture for adiponectin with lipids and central obesity and motivate further studies of underlying mechanisms.

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Year:  2013        PMID: 24105470      PMCID: PMC3900106          DOI: 10.1093/hmg/ddt488

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


  56 in total

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2.  Long-range LD can confound genome scans in admixed populations.

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

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Journal:  Atherosclerosis       Date:  2009-12-02       Impact factor: 5.162

Review 4.  Indices of abdominal obesity are better discriminators of cardiovascular risk factors than BMI: a meta-analysis.

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Authors:  Jaspal S Kooner; Danish Saleheen; Xueling Sim; Joban Sehmi; Weihua Zhang; Philippe Frossard; Latonya F Been; Kee-Seng Chia; Antigone S Dimas; Neelam Hassanali; Tazeen Jafar; Jeremy B M Jowett; Xinzhong Li; Venkatesan Radha; Simon D Rees; Fumihiko Takeuchi; Robin Young; Tin Aung; Abdul Basit; Manickam Chidambaram; Debashish Das; Elin Grundberg; Asa K Hedman; Zafar I Hydrie; Muhammed Islam; Chiea-Chuen Khor; Sudhir Kowlessur; Malene M Kristensen; Samuel Liju; Wei-Yen Lim; David R Matthews; Jianjun Liu; Andrew P Morris; Alexandra C Nica; Janani M Pinidiyapathirage; Inga Prokopenko; Asif Rasheed; Maria Samuel; Nabi Shah; A Samad Shera; Kerrin S Small; Chen Suo; Ananda R Wickremasinghe; Tien Yin Wong; Mingyu Yang; Fan Zhang; Goncalo R Abecasis; Anthony H Barnett; Mark Caulfield; Panos Deloukas; Timothy M Frayling; Philippe Froguel; Norihiro Kato; Prasad Katulanda; M Ann Kelly; Junbin Liang; Viswanathan Mohan; Dharambir K Sanghera; James Scott; Mark Seielstad; Paul Z Zimmet; Paul Elliott; Yik Ying Teo; Mark I McCarthy; John Danesh; E Shyong Tai; John C Chambers
Journal:  Nat Genet       Date:  2011-08-28       Impact factor: 38.330

6.  Deep resequencing unveils genetic architecture of ADIPOQ and identifies a novel low-frequency variant strongly associated with adiponectin variation.

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Journal:  Diabetes       Date:  2012-03-08       Impact factor: 9.461

7.  Meta-analysis of sex-specific genome-wide association studies.

Authors:  Reedik Magi; Cecilia M Lindgren; Andrew P Morris
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8.  A user's guide to the encyclopedia of DNA elements (ENCODE).

Authors: 
Journal:  PLoS Biol       Date:  2011-04-19       Impact factor: 8.029

9.  Synthetic associations created by rare variants do not explain most GWAS results.

Authors:  Naomi R Wray; Shaun M Purcell; Peter M Visscher
Journal:  PLoS Biol       Date:  2011-01-18       Impact factor: 8.029

10.  HaploReg: a resource for exploring chromatin states, conservation, and regulatory motif alterations within sets of genetically linked variants.

Authors:  Lucas D Ward; Manolis Kellis
Journal:  Nucleic Acids Res       Date:  2011-11-07       Impact factor: 16.971

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  39 in total

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Authors:  Quan-Zhen Lin; Rui-Xing Yin; Jian Wu; Tao Guo; Wei Wang; Jia-Qi Sun; Guang-Yuan Shi; Shao-Wen Shen; Jin-Zhen Wu; Shang-Ling Pan
Journal:  Int J Clin Exp Pathol       Date:  2014-06-15

Review 2.  The Post-GWAS Era: From Association to Function.

Authors:  Michael D Gallagher; Alice S Chen-Plotkin
Journal:  Am J Hum Genet       Date:  2018-05-03       Impact factor: 11.025

3.  Associations of genetic variants for adult lipid levels with lipid levels in children. The Generation R Study.

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4.  From GWAS Association to Function: Candidate Gene Screening Within Insulin Resistance-Associated Genomic Loci Using a Preadipocyte Differentiation Model.

Authors:  Feria A Ladha; Michael L Stitzel; J Travis Hinson
Journal:  Circ Res       Date:  2020-01-30       Impact factor: 17.367

5.  Linkage and association analysis of obesity traits reveals novel loci and interactions with dietary n-3 fatty acids in an Alaska Native (Yup'ik) population.

Authors:  Laura Kelly Vaughan; Howard W Wiener; Stella Aslibekyan; David B Allison; Peter J Havel; Kimber L Stanhope; Diane M O'Brien; Scarlett E Hopkins; Dominick J Lemas; Bert B Boyer; Hemant K Tiwari
Journal:  Metabolism       Date:  2015-03-05       Impact factor: 8.694

6.  Exome-Derived Adiponectin-Associated Variants Implicate Obesity and Lipid Biology.

Authors:  Cassandra N Spracklen; Tugce Karaderi; Hanieh Yaghootkar; Claudia Schurmann; Rebecca S Fine; Zoltan Kutalik; Michael H Preuss; Yingchang Lu; Laura B L Wittemans; Linda S Adair; Matthew Allison; Najaf Amin; Paul L Auer; Traci M Bartz; Matthias Blüher; Michael Boehnke; Judith B Borja; Jette Bork-Jensen; Linda Broer; Daniel I Chasman; Yii-Der Ida Chen; Paraskevi Chirstofidou; Ayse Demirkan; Cornelia M van Duijn; Mary F Feitosa; Melissa E Garcia; Mariaelisa Graff; Harald Grallert; Niels Grarup; Xiuqing Guo; Jeffrey Haesser; Torben Hansen; Tamara B Harris; Heather M Highland; Jaeyoung Hong; M Arfan Ikram; Erik Ingelsson; Rebecca Jackson; Pekka Jousilahti; Mika Kähönen; Jorge R Kizer; Peter Kovacs; Jennifer Kriebel; Markku Laakso; Leslie A Lange; Terho Lehtimäki; Jin Li; Ruifang Li-Gao; Lars Lind; Jian'an Luan; Leo-Pekka Lyytikäinen; Stuart MacGregor; David A Mackey; Anubha Mahajan; Massimo Mangino; Satu Männistö; Mark I McCarthy; Barbara McKnight; Carolina Medina-Gomez; James B Meigs; Sophie Molnos; Dennis Mook-Kanamori; Andrew P Morris; Renee de Mutsert; Mike A Nalls; Ivana Nedeljkovic; Kari E North; Craig E Pennell; Aruna D Pradhan; Michael A Province; Olli T Raitakari; Chelsea K Raulerson; Alex P Reiner; Paul M Ridker; Samuli Ripatti; Neil Roberston; Jerome I Rotter; Veikko Salomaa; America A Sandoval-Zárate; Colleen M Sitlani; Tim D Spector; Konstantin Strauch; Michael Stumvoll; Kent D Taylor; Betina Thuesen; Anke Tönjes; Andre G Uitterlinden; Cristina Venturini; Mark Walker; Carol A Wang; Shuai Wang; Nicholas J Wareham; Sara M Willems; Ko Willems van Dijk; James G Wilson; Ying Wu; Jie Yao; Kristin L Young; Claudia Langenberg; Timothy M Frayling; Tuomas O Kilpeläinen; Cecilia M Lindgren; Ruth J F Loos; Karen L Mohlke
Journal:  Am J Hum Genet       Date:  2019-06-06       Impact factor: 11.025

7.  Genetic variants of CDH13 determine the susceptibility to chronic obstructive pulmonary disease in a Chinese population.

Authors:  Yi-ming Yuan; Jin-long Zhang; Si-cheng Xu; Ren-song Ye; Dan Xu; You Zhang; Yan-Jie Zhang; Yu-long Chen; Yu-lan Liu; Zhi-guang Su
Journal:  Acta Pharmacol Sin       Date:  2016-01-25       Impact factor: 6.150

8.  Association analyses of East Asian individuals and trans-ancestry analyses with European individuals reveal new loci associated with cholesterol and triglyceride levels.

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Journal:  Hum Mol Genet       Date:  2017-05-01       Impact factor: 6.150

9.  Four pleiotropic loci associated with fat mass and lean mass.

Authors:  Yu Liu; Shu Ran; Yong Lin; Yu-Xue Zhang; Xiao-Lin Yang; Xin-Tong Wei; Zi-Xuan Jiang; Xiao He; Hong Zhang; Gui-Juan Feng; Hui Shen; Qing Tian; Hong-Wen Deng; Lei Zhang; Yu-Fang Pei
Journal:  Int J Obes (Lond)       Date:  2020-07-27       Impact factor: 5.095

10.  Genome-wide interaction with the insulin secretion locus MTNR1B reveals CMIP as a novel type 2 diabetes susceptibility gene in African Americans.

Authors:  Jacob M Keaton; Chuan Gao; Meijian Guan; Jacklyn N Hellwege; Nicholette D Palmer; James S Pankow; Myriam Fornage; James G Wilson; Adolfo Correa; Laura J Rasmussen-Torvik; Jerome I Rotter; Yii-Der I Chen; Kent D Taylor; Stephen S Rich; Lynne E Wagenknecht; Barry I Freedman; Maggie C Y Ng; Donald W Bowden
Journal:  Genet Epidemiol       Date:  2018-04-24       Impact factor: 2.344

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