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Three pleiotropic loci associated with bone mineral density and lean body mass
- Source :
- Mol Genet Genomics
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- Both bone mineral density (BMD) and lean body mass (LBM) are important physiological measures with strong genetic determination. Besides, BMD and LBM might have common genetic factors. Aiming to identify pleiotropic genomic loci underlying BMD and LBM, we performed bivariate genome-wide association study meta-analyses of femoral neck bone mineral density and LBM at arms and legs, and replicated in the large-scale UK Biobank cohort sample. Combining the results from discovery meta-analysis and replication sample, we identified three genomic loci at the genome-wide significance level (p < 5.0 × 10(−8)): 2p23.2 (lead SNP rs4477866, discovery p = 3.47 × 10(−8), replication p = 1.03 × 10(−4)), 16q12.2 (rs1421085, discovery p = 2.04 × 10(−9), replication p = 6.47 × 10(−14)) and 18q21.32 (rs11152213, discovery p = 3.47 × 10(−8), replication p = 6.69 × 10(−6)). Our findings not only provide useful insights into lean mass and bone mass development, but also enhance our understanding of the potential genetic correlation between BMD and LBM.
- Subjects :
- Male
0106 biological sciences
0301 basic medicine
Sarcopenia
Osteoporosis
Black People
Biology
Bioinformatics
Polymorphism, Single Nucleotide
01 natural sciences
Genetic correlation
White People
Article
Body Mass Index
03 medical and health sciences
Asian People
Thinness
Bone Density
Genetics
medicine
Humans
SNP
Genetic Predisposition to Disease
Molecular Biology
Femoral neck
Bone mineral
Femur Neck
Genome, Human
Genetic Pleiotropy
General Medicine
Middle Aged
medicine.disease
Human genetics
030104 developmental biology
medicine.anatomical_structure
Genetic Loci
Lean body mass
Female
Genome-Wide Association Study
010606 plant biology & botany
Subjects
Details
- ISSN :
- 16174623 and 16174615
- Volume :
- 296
- Database :
- OpenAIRE
- Journal :
- Molecular Genetics and Genomics
- Accession number :
- edsair.doi.dedup.....5dbcf5c5b0ab7c3b03370e3af7eac5b5