Identification of shared genetic susceptibility locus for coronary artery disease, type 2 diabetes and obesity: a meta-analysis of genome-wide studies

被引:15
|
作者
Wu, Chaoneng [1 ,2 ]
Gong, Yunguo [1 ,2 ]
Yuan, Jie [1 ,2 ]
Gong, Hui [1 ,2 ]
Zou, Yunzeng [1 ,2 ]
Ge, Junbo [1 ,2 ]
机构
[1] Fudan Univ, Zhongshan Hosp, Shanghai Inst Cardiovasc Dis, Shanghai 200032, Peoples R China
[2] Fudan Univ, Inst Biomed Sci, Shanghai 200032, Peoples R China
基金
中国国家自然科学基金;
关键词
Meta-analysis; Type; 2; diabetes; Obesity; Coronary artery disease; Genome-wide association study; BODY-MASS INDEX; AFRICAN-AMERICAN FAMILIES; ENPP1 K121Q POLYMORPHISM; QUANTITATIVE-TRAIT LOCI; ASSOCIATION ANALYSIS; RISK LOCI; SIGNIFICANT LINKAGE; INSULIN-RESISTANCE; METABOLIC SYNDROME; EARLY-ONSET;
D O I
10.1186/1475-2840-11-68
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Type 2 diabetes (2DM), obesity, and coronary artery disease (CAD) are frequently coexisted being as key components of metabolic syndrome. Whether there is shared genetic background underlying these diseases remained unclear. We performed a meta-analysis of 35 genome screens for 2DM, 36 for obesity or body mass index (BMI)-defined obesity, and 21 for CAD using genome search meta-analysis (GSMA), which combines linkage results to identify regions with only weak evidence and provide genetic interactions among different diseases. For each study, 120 genomic bins of approximately 30 cM were defined and ranked according to the best linkage evidence within each bin. For each disease, bin 6.2 achieved genomic significanct evidence, and bin 9.3, 10.5, 16.3 reached suggestive level for 2DM. Bin 11.2 and 16.3, and bin 10.5 and 9.3, reached suggestive evidence for obesity and CAD respectively. In pooled all three diseases, bin 9.3 and 6.5 reached genomic significant and suggestive evidence respectively, being relatively much weaker for 2DM/CAD or 2DM/obesity or CAD/obesity. Further, genomewide significant evidence was observed of bin 16.3 and 4.5 for 2DM/obesity, which is decreased when CAD was added. These findings indicated that bin 9.3 and 6.5 are most likely to be shared by 2DM, obesity and CAD. And bin 16.3 and 4.5 are potentially common regions to 2DM and obesity only. The observed shared susceptibility regions imply a partly overlapping genetic aspects of disease development. Fine scanning of these regions will definitely identify more susceptibility genes and causal variants.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] A Meta-analysis Of Three Genome-wide Association Studies Identifies A Novel Susceptibility Locus For Kawasaki Disease.
    Johnson, Todd A.
    Wu, Jer-Yuarn
    Yoon, Dankyu
    Hata, Akira
    Kubo, Michiaki
    Takahashi, Atsushi
    Tsunoda, Tatsuhiko
    Ozaki, Kouichi
    Tanaka, Toshihiro
    Chen, Chien-Hsiun
    Lee, Yi-Ching
    Chang, Li-Ching
    Chang, Chun-Ping
    Hong, Young Mi
    Jang, Gi Young
    Yun, Sin Weon
    Yu, Jeong Jin
    Lee, Kyung-Yil
    Kim, Jae-Jung
    Lee, Jong-Keuk
    Chen, Yuan-Tsong
    Onouchi, Yoshihiro
    CIRCULATION, 2015, 131
  • [22] A Meta-analysis Of Three Genome-wide Association Studies Identifies A Novel Susceptibility Locus For Kawasaki Disease.
    Johnson, Todd A.
    Wu, Jer-Yuarn
    Yoon, Dankyu
    Hata, Akira
    Kubo, Michiaki
    Takahashi, Atsushi
    Tsunoda, Tatsuhiko
    Ozaki, Kouichi
    Tanaka, Toshihiro
    Chen, Chien-Hsiun
    Lee, Yi-Ching
    Chang, Li -Ching
    Chang, Chun -Ping
    Hong, Young Mi
    Jang, Gi Young
    Yun, Sin Weon
    Yu, Jeong Jin
    Lee, Kyung-Yil
    Kim, Jae-Jung
    Lee, Jong-Keuk
    Chen, Yuan-Tsong
    Onouchi, Yoshihiro
    CIRCULATION, 2015, 131
  • [23] A Meta-analysis of Japanese Genome-Wide Association Studies Identified Seven Novel Susceptibility Loci to Type 2 Diabetes
    Imamura, Minako
    Maeda, Shiro
    Yamauchi, Toshimasa
    Hara, Kazuo
    Takahashi, Atsushi
    Kubo, Michiaki
    Iwata, Minoru
    Hirose, Hiroshi
    Yasuda, Kazuki
    Watada, Hirotaka
    Maegawa, Hiroshi
    Ito, Chikako
    Tanaka, Yasushi
    Tobe, Kazuyuki
    Kaku, Kohei
    Kawamori, Ryuzo
    Kadowaki, Takashi
    DIABETES, 2015, 64 : A6 - A6
  • [24] A Meta-analysis of Genome-Wide Association Studies for Susceptibility Loci to Diabetic Nephropathy in Japanese Patients with Type 2 Diabetes
    Taira, Makiko
    Imamura, Minako
    Takahashi, Atsushi
    Kamatani, Yoichiro
    Kubo, Michiaki
    Horikoshi, Momoko
    Maeda, Shiro
    DIABETES, 2017, 66 : A473 - A473
  • [25] Evidence for a shared genetic determination of Ischemic Stroke And Coronary Artery Disease - a genome-wide analysis
    Dichgans, Martin
    Malik, Rainer
    Koenig, Inke R.
    Rosand, Jonathan
    Clarke, Robert
    Gretarsdottir, Solveig
    Mitchell, Braxton D.
    Erdmann, Jeanette
    Kathiresan, Sekar
    McPherson, Ruth
    Sudlow, Cathie
    Reilly, Muredach P.
    Thompson, John R.
    Sharma, Pankaj
    Chambers, John C.
    Watkins, Hugh
    Rothwell, Peter M.
    Roberts, Robert
    Markus, Hugh S.
    Samani, Nilesh J.
    Farrall, Martin
    Schunkert, Heribert
    CIRCULATION RESEARCH, 2013, 113 (12) : E160 - E161
  • [26] A meta-analysis of Japanese genome-wide association studies identified seven novel susceptibility loci to type 2 diabetes
    Imamura, M.
    Maeda, S.
    Yamauchi, T.
    Hara, K.
    Iwata, M.
    Hirose, H.
    Yasuda, K.
    Watada, H.
    Maegawa, H.
    Ito, C.
    Tanaka, Y.
    Tobe, K.
    Kaku, K.
    Kawamori, R.
    Kadowaki, T.
    DIABETOLOGIA, 2015, 58 : S89 - S89
  • [27] Meta-analysis of genome-wide linkage studies in BMI and obesity
    Saunders, Catherine L.
    Chiodini, Benedetta D.
    Sham, Pak
    Lewis, Cathryn M.
    Abkevich, Victor
    Adeyemo, Adebowale A.
    de Andrade, Mariza
    Arya, Rector
    Berenson, Gerald S.
    Blangero, John
    Boehnke, Michael
    Borecki, Ingrid B.
    Chagnon, Yvon C.
    Chen, Wei
    Comuzzie, Anthony G.
    Deng, Hong-Wen
    Duggirala, Ravindranath
    Feitosa, Mary F.
    Froguel, Philippe
    Hanson, Robert L.
    Hebebrand, Johannes
    Huezo-Dias, Patricia
    Kissebah, Ahmed H.
    Li, Weidong
    Luke, Amy
    Martin, Lisa J.
    Nash, Matthew
    Ohman, Muena
    Palmer, Lyle J.
    Peltonen, Leena
    Perola, Markus
    Price, R. Arlen
    Redline, Susan
    Srinivasan, Sathanur R.
    Stern, Michael P.
    Stone, Steven
    Stringham, Heather
    Turner, Stephen
    Wijmenga, Cisca
    Collier, David A.
    OBESITY, 2007, 15 (09) : 2263 - 2275
  • [28] Meta-Analysis of Genome-Wide Association Studies in African Americans Provides Insights into the Genetic Architecture of Type 2 Diabetes
    Ng, Maggie C. Y.
    Shriner, Daniel
    Chen, Brian H.
    Li, Jiang
    Chen, Wei-Min
    Guo, Xiuqing
    Liu, Jiankang
    Bielinski, Suzette J.
    Yanek, Lisa R.
    Nalls, Michael A.
    Comeau, Mary E.
    Rasmussen-Torvik, Laura J.
    Jensen, Richard A.
    Evans, Daniel S.
    Sun, Yan V.
    An, Ping
    Patel, Sanjay R.
    Lu, Yingchang
    Long, Jirong
    Armstrong, Loren L.
    Wagenknecht, Lynne
    Yang, Lingyao
    Snively, Beverly M.
    Palmer, Nicholette D.
    Mudgal, Poorva
    Langefeld, Carl D.
    Keene, Keith L.
    Freedman, Barry I.
    Mychaleckyj, Josyf C.
    Nayak, Uma
    Raffel, Leslie J.
    Goodarzi, Mark O.
    Chen, Y-D Ida
    Taylor, Herman A., Jr.
    Correa, Adolfo
    Sims, Mario
    Couper, David
    Pankow, James S.
    Boerwinkle, Eric
    Adeyemo, Adebowale
    Doumatey, Ayo
    Chen, Guanjie
    Mathias, Rasika A.
    Vaidya, Dhananjay
    Singleton, Andrew B.
    Zonderman, Alan B.
    Igo, Robert P., Jr.
    Sedor, John R.
    Kabagambe, Edmond K.
    Siscovick, David S.
    PLOS GENETICS, 2014, 10 (08):
  • [29] Meta-analysis of sex-specific genome-wide association studies of type 2 diabetes
    Morris, A. P.
    Cauchi, S.
    Ganser, M.
    Grallert, H.
    Thorleifsson, G.
    Voight, B. F.
    DIABETOLOGIA, 2010, 53 : S122 - S122
  • [30] Insights into the Genetic Susceptibility to Type 2 Diabetes from Genome-Wide Association Studies of Obesity-Related Traits
    Tugce Karaderi
    Alexander W. Drong
    Cecilia M. Lindgren
    Current Diabetes Reports, 2015, 15