Mouse genome-wide association and systems genetics identifies Lhfp as a regulator of bone mass.
Larry D MesnerGina M CalabreseBasel Maher Al-BarghouthiDaniel M GattiJohn P SundbergGary A ChurchillDana A GodfreyCheryl L Ackert-BicknellCharles R FarberPublished in: PLoS genetics (2019)
Bone mineral density (BMD) is a strong predictor of osteoporotic fracture. It is also one of the most heritable disease-associated quantitative traits. As a result, there has been considerable effort focused on dissecting its genetic basis. Here, we performed a genome-wide association study (GWAS) in a panel of inbred strains to identify associations influencing BMD. This analysis identified a significant (P = 3.1 x 10-12) BMD locus on Chromosome 3@52.5 Mbp that replicated in two separate inbred strain panels and overlapped a BMD quantitative trait locus (QTL) previously identified in a F2 intercross. The association mapped to a 300 Kbp region containing four genes; Gm2447, Gm20750, Cog6, and Lhfp. Further analysis found that Lipoma HMGIC Fusion Partner (Lhfp) was highly expressed in bone and osteoblasts. Furthermore, its expression was regulated by a local expression QTL (eQTL), which overlapped the BMD association. A co-expression network analysis revealed that Lhfp was strongly connected to genes involved in osteoblast differentiation. To directly evaluate its role in bone, Lhfp deficient mice (Lhfp-/-) were created using CRISPR/Cas9. Consistent with genetic and network predictions, bone marrow stromal cells (BMSCs) from Lhfp-/- mice displayed increased osteogenic differentiation. Lhfp-/- mice also had elevated BMD due to increased cortical bone mass. Lastly, we identified SNPs in human LHFP that were associated (P = 1.2 x 10-5) with heel BMD. In conclusion, we used GWAS and systems genetics to identify Lhfp as a regulator of osteoblast activity and bone mass.
Keyphrases
- bone mineral density
- postmenopausal women
- genome wide
- genome wide association study
- body composition
- bone marrow
- poor prognosis
- crispr cas
- bone regeneration
- network analysis
- mesenchymal stem cells
- genome wide association
- copy number
- dna methylation
- high resolution
- soft tissue
- endothelial cells
- genome editing
- transcription factor
- escherichia coli
- high fat diet induced
- mass spectrometry
- hepatitis c virus
- binding protein
- adipose tissue
- hiv infected
- metabolic syndrome
- single cell
- antiretroviral therapy
- bioinformatics analysis