1. A genome-wide association study meta-analysis of clinical fracture in 10,012 African American women
- Author
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Kira C. Taylor, Daniel S. Evans, Digna R. Velez Edwards, Todd L. Edwards, Tamar Sofer, Guo Li, Youfang Liu, Nora Franceschini, Rebecca D. Jackson, Ayush Giri, Macarius Donneyong, Bruce Psaty, Jerome I. Rotter, Andrea Z. LaCroix, Joanne M. Jordan, John A. Robbins, Beth Lewis, Marcia L. Stefanick, Yongmei Liu, Melissa Garcia, Tamara Harris, Jane A. Cauley, and Kari E. North
- Subjects
Diseases of the musculoskeletal system ,RC925-935 - Abstract
Background: Osteoporosis is a major public health problem associated with excess disability and mortality. It is estimated that 50–70% of the variation in osteoporotic fracture risk is attributable to genetic factors. The purpose of this hypothesis-generating study was to identify possible genetic determinants of fracture among African American (AA) women in a GWAS meta-analysis. Methods: Data on clinical fractures (all fractures except fingers, toes, face, skull or sternum) were analyzed among AA female participants in the Women's Health Initiative (WHI) (N = 8155), Cardiovascular Health Study (CHS) (N = 504), BioVU (N = 704), Health ABC (N = 651), and the Johnston County Osteoarthritis Project (JoCoOA) (N = 291). Affymetrix (WHI) and Illumina (Health ABC, JoCoOA, BioVU, CHS) GWAS panels were used for genotyping, and a 1:1 ratio of YRI:CEU HapMap haplotypes was used as an imputation reference panel. We used Cox proportional hazard models or logistic regression to evaluate the association of ~2.5 million SNPs with fracture risk, adjusting for ancestry, age, and geographic region where applicable. We conducted a fixed-effects, inverse variance-weighted meta-analysis. Genome-wide significance was set at P
- Published
- 2016
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