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Updated: Feb 13, 2026

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
Published on: July 1, 2020
Joint study of two genome-wide association meta-analyses identified 20p12.1 and 20q13.33 for bone mineral density
Yu-Fang Pei1, Wen-Zhu Hu2, Min-Wei Yan3
1Department of Epidemiology and Health Statistics, School of Public Health, Medical College of Soochow University, Jiangsu, PR China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Jiangsu, PR China.
Abstract:
In the present study, aiming to identify loci associated with osteoporosis, we conducted a joint association study of 2 independent genome-wide association meta-analyses of femoral neck and lumbar spine bone mineral densities (BMDs): 1) an in-house study of 6 samples involving 7484 subjects, and 2) the GEFOS-seq study of 7 samples involving 32,965 subjects. The in-house samples were imputed by the 1000 genomes project phase 3 reference panel. SNP-based association test was applied to 7,998,108 autosomal SNPs in each meta-analysis, and for each SNP the 2 association signals were then combined for joint analysis and for mutual replication. Combining the evidence from both studies, we identified 2 novel loci associated with BMDs at the genome-wide significance level (α=5.0×10-8): 20p12.1 (rs73100693 p=2.65×10-8, closest gene MACROD2) and 20q13.33 (rs2380128 p=3.44×10-8, OSBPL2). We also replicated 7 loci that were reported by two recent studies on heel and total body BMD. Our findings provide useful insights that enhance our understanding of bone development, osteoporosis and fracture pathogenesis.
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