Genetics of coronary artery calcification among African Americans, a meta-analysis
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- 作者：Mary K Wojczynski (1)
Mingyao Li (2)
Lawrence F Bielak (3)
Kathleen F Kerr (4)
Alex P Reiner (5)
Nathan D Wong (6)
Lisa R Yanek (7)
Liming Qu (2)
Charles C White (8)
Leslie A Lange (9)
Jane F Ferguson (10)
Jing He (2)
Taylor Young (11)
Thomas H Mosley (12)
Jennifer A Smith (3)
Brian G Kral (7)
Xiuqing Guo (13)
Quenna Wong (4)
Santhi K Ganesh (14)
Susan R Heckbert (5)
Michael E Griswold (15)
Daniel H O’Leary (16)
Matthew Budoff (17)
J Jeffrey Carr (18)
Herman A Taylor Jr. (19) (20)
David A Bluemke (21)
Serkalem Demissie (8)
Shih-Jen Hwang (22)
Dina N Paltoo (23)
Joseph F Polak (16)
Bruce M Psaty (24) (25)
Diane M Becker (7)
Michael A Province (1)
Wendy S Post (26)
Christopher J O’Donnell (27) (28) (29)
James G Wilson (30)
Tamara B Harris (31)
Maryam Kavousi (32) (33)
L Adrienne Cupples (27) (34)
Jerome I Rotter (13)
Myriam Fornage (35)
Lewis C Becker (7)
Patricia A Peyser (3)
Ingrid B Borecki (1)
Muredach P Reilly (10) - 关键词：Atherosclerosis ; Coronary artery calcium ; Genetics ; Meta ; analysis ; African ; American
- 刊名：BMC Medical Genetics
- 出版年：2013
- 出版时间：December 2013
- 年：2013
- 卷：14
- 期：1
- 全文大小：440KB
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47. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2350/14/75/prepub - 作者单位：Mary K Wojczynski (1)
Mingyao Li (2)
Lawrence F Bielak (3)
Kathleen F Kerr (4)
Alex P Reiner (5)
Nathan D Wong (6)
Lisa R Yanek (7)
Liming Qu (2)
Charles C White (8)
Leslie A Lange (9)
Jane F Ferguson (10)
Jing He (2)
Taylor Young (11)
Thomas H Mosley (12)
Jennifer A Smith (3)
Brian G Kral (7)
Xiuqing Guo (13)
Quenna Wong (4)
Santhi K Ganesh (14)
Susan R Heckbert (5)
Michael E Griswold (15)
Daniel H O’Leary (16)
Matthew Budoff (17)
J Jeffrey Carr (18)
Herman A Taylor Jr. (19) (20)
David A Bluemke (21)
Serkalem Demissie (8)
Shih-Jen Hwang (22)
Dina N Paltoo (23)
Joseph F Polak (16)
Bruce M Psaty (24) (25)
Diane M Becker (7)
Michael A Province (1)
Wendy S Post (26)
Christopher J O’Donnell (27) (28) (29)
James G Wilson (30)
Tamara B Harris (31)
Maryam Kavousi (32) (33)
L Adrienne Cupples (27) (34)
Jerome I Rotter (13)
Myriam Fornage (35)
Lewis C Becker (7)
Patricia A Peyser (3)
Ingrid B Borecki (1)
Muredach P Reilly (10)
1. Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, MO, USA
2. Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA, USA
3. Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
4. Department of Biostatistics, University of Washington, Seattle, WA, USA
5. Department of Epidemiology, University of Washington, Seattle, WA, USA
6. Heart Disease Prevention Program, University of California, Irvine, CA, USA
7. Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
8. Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
9. Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
10. The Cardiovascular Institute and Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
11. Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
12. Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
13. Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
14. Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
15. Center of Biostatistics and Bioinformatics, University of Mississippi Medical Center, Jackson, MS, USA
16. Department of Radiology, Tufts University School of Medicine, Boston, MA, USA
17. University of California Los Angeles School of Medicine, Los Angeles, CA, USA
18. Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
19. Jackson State University, Tougaloo College, Jackson, MS, USA
20. The University of Mississippi Medical Center, Jackson, MS, USA
21. Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD, USA
22. National Heart, Lung, and Blood Institute’s Framingham Heart Study and the Center for Population Studies, Framingham, MA, USA
23. Advanced Technologies and Surgery Branch, Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
24. Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Service, University of Washington, Seattle, WA, USA
25. Group Health Research Institute, Group Health Cooperative, Seattle, WA, USA
26. Departments of Epidemiology and Medicine, The Johns Hopkins School of Medicine and Public Health, Baltimore, MD, USA
27. National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA, USA
28. Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
29. National Heart, Lung, and Blood Institute, Bethesda, MD, USA
30. Department of Physiology and Biophysics, University of Mississippi, Jackson, MS, USA
31. Laboratory of Epidemiology, Demography, and Biometry, Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
32. Netherlands Genomics-Initiative-Sponsored Netherlands Consortium for Healthy Aging, Rotterdam, The Netherlands
33. Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
34. Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
35. Houston Institute of Molecular Medicine, University of Texas, Houston, TX, USA - ISSN：1471-2350
文摘
Background Coronary heart disease (CHD) is the major cause of death in the United States. Coronary artery calcification (CAC) scores are independent predictors of CHD. African Americans (AA) have higher rates of CHD but are less well-studied in genomic studies. We assembled the largest AA data resource currently available with measured CAC to identify associated genetic variants. Methods We analyzed log transformed CAC quantity (ln(CAC--)), for association with ~2.5 million single nucleotide polymorphisms (SNPs) and performed an inverse-variance weighted meta-analysis on results for 5,823 AA from 8 studies. Heritability was calculated using family studies. The most significant SNPs among AAs were evaluated in European Ancestry (EA) CAC data; conversely, the significance of published SNPs for CAC/CHD in EA was queried within our AA meta-analysis. Results Heritability of CAC was lower in AA (~30%) than previously reported for EA (~50%). No SNP reached genome wide significance (p-lt;-E-08). Of 67 SNPs with p-lt;-E-05 in AA there was no evidence of association in EA CAC data. Four SNPs in regions previously implicated in CAC/CHD (at 9p21 and PHACTR1) in EA reached nominal significance for CAC in AA, with concordant direction. Among AA, rs16905644 (p--.08E-05) had the strongest association in the 9p21 region. Conclusions While we observed substantial heritability for CAC in AA, we failed to identify loci for CAC at genome-wide significant levels despite having adequate power to detect alleles with moderate to large effects. Although suggestive signals in AA were apparent at 9p21 and additional CAC and CAD EA loci, overall the data suggest that even larger samples and an ethnic specific focus will be required for GWAS discoveries for CAC in AA populations.