Genome-wide association with diabetes-related traits in the Framingham Heart Study

被引:68
|
作者
Meigs, James B. [1 ]
Manning, Alisa K.
Fox, Caroline S.
Florez, Jose C.
Liu, Chunyu
Cupples, L. Adrienne
Dupuis, Josee
机构
[1] Harvard Univ, Sch Med, Boston, MA 02115 USA
[2] Boston Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02215 USA
[3] Boston Univ, Brigham & Womens Hosp, Sch Med, Dept Biostat, Boston, MA 02215 USA
[4] NHLBI, Framingham Heart Study, Framingham, MA USA
[5] Harvard Univ, Massachusetts Gen Hosp, Sch Med, Ctr Human Genet Res, Boston, MA 02115 USA
[6] Harvard Univ, Massachusetts Gen Hosp, Sch Med, Dept Med, Boston, MA 02115 USA
[7] MIT, Cambridge, MA 02139 USA
[8] Broad Inst Harvard, Program Med & Populat Genet, Cambridge, MA 02139 USA
来源
BMC MEDICAL GENETICS | 2007年 / 8卷
关键词
D O I
10.1186/1471-2350-8-S1-S16
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background: Susceptibility to type 2 diabetes may be conferred by genetic variants having modest effects on risk. Genome-wide fixed marker arrays offer a novel approach to detect these variants. Methods: We used the Affymetrix 100K SNP array in 1,087 Framingham Offspring Study family members to examine genetic associations with three diabetes-related quantitative glucose traits ( fasting plasma glucose ( FPG), hemoglobin A1c, 28-yr time-averaged FPG ( tFPG)), three insulin traits ( fasting insulin, HOMA-insulin resistance, and 0-120 min insulin sensitivity index); and with risk for diabetes. We used additive generalized estimating equations ( GEE) and family-based association test ( FBAT) models to test associations of SNP genotypes with sex-age-age(2)-adjusted residual trait values, and Cox survival models to test incident diabetes. Results: We found 415 SNPs associated ( at p < 0.001) with at least one of the six quantitative traits in GEE, 242 in FBAT ( 18 overlapped with GEE for 639 non-overlapping SNPs), and 128 associated with incident diabetes ( 31 overlapped with the 639) giving 736 non-overlapping SNPs. Of these 736 SNPs, 439 were within 60 kb of a known gene. Additionally, 53 SNPs ( of which 42 had r(2) < 0.80 with each other) had p < 0.01 for incident diabetes AND ( all 3 glucose traits OR all 3 insulin traits, OR 2 glucose traits and 2 insulin traits); of these, 36 overlapped with the 736 other SNPs. Of 100K SNPs, one ( rs7100927) was in moderate LD ( r(2) = 0.50) with TCF7L2 ( rs7903146), and was associated with risk of diabetes ( Cox p-value 0.007, additive hazard ratio for diabetes = 1.56) and with tFPG ( GEE p-value 0.03). There were no common ( MAF > 1%) 100K SNPs in LD ( r2 > 0.05) with ABCC8 A1369S ( rs757110), KCNJ11 E23K ( rs5219), or SNPs in CAPN10 or HNFa. PPARG P12A ( rs1801282) was not significantly associated with diabetes or related traits. Conclusion: Framingham 100K SNP data is a resource for association tests of known and novel genes with diabetes and related traits posted at http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?id=phs000007. Framingham 100K data replicate the TCF7L2 association with diabetes.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Genome-wide association with diabetes-related traits in the Framingham heart study
    Florez, Jose C.
    Manning, Alisa K.
    Dupuis, Josee
    Gianniny, Lauren
    Irenze, Kathryn
    McAteer, Jarred
    Mirel, Daniel B.
    Fox, Caroline S.
    Cupples, L. A.
    Meigs, James B.
    DIABETES, 2007, 56 : A94 - A94
  • [2] A 100K genome-wide association scan for diabetes and related traits in the Framingham Heart Study
    Florez, Jose C.
    Manning, Alisa K.
    Dupuis, Josee
    McAteer, Jarred
    Irenze, Kathryn
    Gianniny, Lauren
    Mirel, Daniel B.
    Fox, Caroline S.
    Cupples, L. Adrienne
    Meigs, James B.
    DIABETES, 2007, 56 (12) : 3063 - 3074
  • [3] Genome-wide association with renal function traits in the Framingham Heart Study
    Hwang, Shih-Jen
    Yang, Qiong
    Larson, Martin G.
    Benjamin, Emelia J.
    Vasan, Ramachandran S.
    Meigs, James B.
    Parikh, Nisha I.
    O'Donnell, Christopher J.
    Levy, Daniel
    Fox, Caroline S.
    CIRCULATION, 2007, 115 (08) : E223 - E223
  • [4] Genome-wide association with select biomarker traits in the Framingham Heart Study
    Benjamin, Emelia J.
    Dupuis, Josee
    Larson, Martin G.
    Lunetta, Kathryn L.
    Booth, Sarah L.
    Govindaraju, Diddahally R.
    Kathiresan, Sekar
    Keaney, John F., Jr.
    Keyes, Michelle J.
    Lin, Jing-Ping
    Meigs, James B.
    Robins, Sander J.
    Rong, Jian
    Schnabel, Renate
    Vita, Joseph A.
    Wang, Thomas J.
    Wilson, Peter W. F.
    Wolf, Philip A.
    Vasan, Ramachandran S.
    BMC MEDICAL GENETICS, 2007, 8
  • [5] Genome-wide association analysis of cardiovascular-related quantitative traits in the Framingham Heart Study
    Nicole M Roslin
    Jemila S Hamid
    Andrew D Paterson
    Joseph Beyene
    BMC Proceedings, 3 (Suppl 7)
  • [6] Genome-wide association study of electrocardiographic and heart rate variability traits: the Framingham Heart Study
    Newton-Cheh, Christopher
    Guo, Chao-Yu
    Wang, Thomas J.
    O'Donnell, Christopher J.
    Levy, Daniel
    Larson, Martin G.
    BMC MEDICAL GENETICS, 2007, 8
  • [7] Identification and correction for collider bias in a genome-wide association study of diabetes-related heart failure
    Sun, Yan, V
    Liu, Chang
    Hui, Qin
    Zhou, Jin J.
    Gaziano, J. Michael
    Wilson, Peter W. F.
    Joseph, Jacob
    Phillips, Lawrence S.
    AMERICAN JOURNAL OF HUMAN GENETICS, 2024, 111 (07) : 1481 - 1493
  • [8] Genome-wide association with adiposity-related traits: The Framingham heart study 100K project
    Fox, Caroline S.
    Heard-Costa, Nancy
    Cupples, L. Adrienne
    Dupuis, Josee
    Vasan, Ramachandran S.
    Atwood, Larry D.
    CIRCULATION, 2007, 115 (08) : E241 - E241
  • [9] A genome-wide association for kidney function and endocrine-related traits in the NHLBI's Framingham Heart Study
    Hwang, Shih-Jen
    Yang, Qiong
    Meigs, James B.
    Pearce, Elizabeth N.
    Fox, Caroline S.
    BMC MEDICAL GENETICS, 2007, 8
  • [10] Genome-wide association study for renal traits in the Framingham Heart and Atherosclerosis Risk in Communities Studies
    Kottgen, Anna
    Kao, Wen Hong L.
    Hwang, Shih-Jen
    Boerwinkle, Eric
    Yang, Qiong
    Levy, Daniel
    Benjamin, Emelia J.
    Larson, Martin G.
    Astor, Brad C.
    Coresh, Josef
    Fox, Caroline S.
    BMC MEDICAL GENETICS, 2008, 9