GWAS-informed data integration and non-coding CRISPRi screen illuminate genetic etiology of bone mineral density.
Mitchell ConeryJames A PippinYadav WagleyBao Khanh TrangMatthew C PahlDavid A VillaniLacey J FavazzoCheryl L Ackert-BicknellMichael J ZuscikEugene KatsevichAndrew D WellsBabette S ZemelBenjamin F VoightKurt D HankensonAlessandra ChesiStruan F A GrantPublished in: bioRxiv : the preprint server for biology (2024)
Over 1,100 independent signals have been identified with genome-wide association studies (GWAS) for bone mineral density (BMD), a key risk factor for mortality-increasing fragility fractures; however, the effector gene(s) for most remain unknown. Informed by a variant-to-gene mapping strategy implicating 89 non-coding elements predicted to regulate osteoblast gene expression at BMD GWAS loci, we executed a single-cell CRISPRi screen in human fetal osteoblast 1.19 cells (hFOBs). The BMD relevance of hFOBs was supported by heritability enrichment from cross-cell type stratified LD-score regression involving 98 cell types grouped into 15 tissues. 24 genes showed perturbation in the screen, with four ( ARID5B , CC2D1B , EIF4G2 , and NCOA3 ) exhibiting consistent effects upon siRNA knockdown on three measures of osteoblast maturation and mineralization. Lastly, additional heritability enrichments, genetic correlations, and multi-trait fine-mapping revealed that many BMD GWAS signals are pleiotropic and likely mediate their effects via non-bone tissues that warrant attention in future screens.
Keyphrases
- bone mineral density
- genome wide
- single cell
- postmenopausal women
- dna methylation
- gene expression
- high throughput
- genome wide association
- body composition
- copy number
- rna seq
- high resolution
- genome wide association study
- induced apoptosis
- genome wide identification
- air pollution
- stem cells
- high density
- cell therapy
- cell cycle arrest
- working memory
- cardiovascular events
- cancer therapy
- endoplasmic reticulum stress
- risk factors
- coronary artery disease
- drug delivery
- mesenchymal stem cells
- type diabetes
- cell proliferation
- mass spectrometry
- pi k akt
- deep learning
- immune response