Powerful Bivariate Genome-Wide Association Analyses Suggest the SOX6 Gene Influencing Both Obesity and Osteoporosis Phenotypes in Males

• Published in: PloS one Vol. 4; no. 8; p. e6827
• Main Authors: Liu, Yao-Zhong, Pei, Yu-Fang, Liu, Jian-Feng, Yang, Fang, Guo, Yan, Zhang, Lei, Liu, Xiao-Gang, Yan, Han, Wang, Liang, Zhang, Yin-Ping, Levy, Shawn, Recker, Robert R., Deng, Hong-Wen
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 28.08.2009; Public Library of Science (PLoS)
• Subjects: Adipocytes; Adult; Aged; Algorithms; Analysis; Asthma; Biocompatibility; Bioinformatics; Bivariate analysis; Body mass; Body mass index; Bone density; Bone mass; Bone mineral density; Cartilage; Chondrogenesis; Cohort Studies; Diabetes and Endocrinology/Obesity; Disease; Education; Engineering; Female; Females; Femur; Gene expression; Genes; Genetic aspects; Genetic research; Genetics; Genetics and Genomics/Complex Traits; Genome-wide association studies; Genome-Wide Association Study; Genomes; Genomics; Haplotypes; Hip; Humans; Insulin; Insulin resistance; Laboratories; Life sciences; Male; Males; Medicine; Middle Aged; Obesity; Obesity - genetics; Osteoporosis; Osteoporosis - genetics; Phenotype; Phenotypes; Phenotypic variations; Pleiotropy; Polymorphism, Single Nucleotide; Public health; Retailing; Rheumatology/Bone and Mineral Metabolism; Single-nucleotide polymorphism; Sox6 protein; SOXD Transcription Factors - genetics; Surgical implants; United States > US; Kansas City Missouri; Missouri

Current genome-wide association studies (GWAS) are normally implemented in a univariate framework and analyze different phenotypes in isolation. This univariate approach ignores the potential genetic correlation between important disease traits. Hence this approach is difficult to detect pleiotropic...