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Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts
Published on: January 29, 2018
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Integrative genomic analysis predicts novel functional enhancer-SNPs for bone mineral density
Chuan Qiu1, Hui Shen2, Xiaoying Fu1
1Department of Global Biostatistics and Data Science, Center for Bioinformatics and Genomics, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1601, New Orleans, LA, 70112, USA.
Human Genetics
|January 19, 2019
Summary
Researchers identified 15 novel genetic variants in enhancers associated with bone mineral density (BMD), offering new insights into osteoporosis genetics. These enhancer-SNPs may influence gene expression and metabolite levels, revealing potential therapeutic targets for osteoporosis.
Area of Science:
- Genetics
- Genomics
- Bone Biology
Background:
- Osteoporosis is a skeletal disorder marked by low bone mineral density (BMD) and bone microarchitecture deterioration.
- Identifying genetic factors influencing BMD is crucial for understanding osteoporosis.
- Enhancers are key regulatory elements; single-nucleotide polymorphisms (SNPs) within enhancers (enhancer-SNPs) are promising candidates for functional variants.
Purpose of the Study:
- To identify novel genetic loci associated with osteoporosis by analyzing functional enhancer-SNPs.
- To investigate the impact of enhancer-SNPs on gene expression and biological processes in bone-related cells (osteoblasts and peripheral blood monocytes).
Main Methods:
- Targeted analysis of functional enhancer-SNPs in five independent cohorts (n=5905) using osteoporosis genetics summary statistics.
- Comprehensive integrative genomic analyses including chromatin states, transcription, and metabolite data.
- Cell-type-specific annotation of enhancer-SNPs in osteoblasts and peripheral blood monocytes.
Main Results:
- Identified 15 novel enhancer-SNPs associated with femoral neck and lumbar spine BMD.
- Discovered 5 SNPs in novel genes (e.g., IGF2) and 10 SNPs in known BMD-associated genes (e.g., ESR1, SHFM1).
- Observed cell-type-specific regulation by enhancer-SNPs (e.g., in SHFM1) and potential links between enhancer-SNPs, BMD variation, and serum metabolite levels.
Conclusions:
- Novel susceptibility loci for BMD variation were revealed through enhancer-SNP analysis.
- Findings provide insights into the cell-type-specific genetic mechanisms underlying osteoporosis.
- The study highlights the role of enhancer variants in BMD regulation and suggests potential links to metabolic pathways.
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