An atlas of genetic influences on osteoporosis in humans and mice.
John A MorrisJohn P KempScott E YoultenLaetitia LaurentJohn G LoganRyan C ChaiNicholas A VulpescuVincenzo ForgettaAaron KleinmanSindhu T MohantyC Marcelo SergioJulian QuinnLoan Nguyen-YamamotoAimee-Lee LucoJinchu VijayMarie-Michelle SimonAlbena PramatarovaCarolina Medina-GomezKaterina TrajanoskaElena J GhirardelloNatalie C ButterfieldKatharine F CurryVictoria D LeitchPenny C SparkesAnne-Tounsia AdoumNaila S MannanDavide S K Komla-EbriAndrea S PollardHannah F DewhurstThomas A D HassallMichael-John G Beltejarnull nullDouglas J AdamsSuzanne M VaillancourtStephen KaptogePaul BaldockCyrus CooperJonathan ReeveEvangelia E NtzaniEvangelos EvangelouClaes OhlssonDavid KarasikFernando RivadeneiraDouglas P KielJonathan H TobiasCelia L GregsonNicholas C W HarveyElin GrundbergDavid GoltzmanDavid J AdamsChristopher J LelliottDavid A HindsCheryl L Ackert-BicknellYi-Hsiang HsuMatthew T MauranoPeter I CroucherGraham R WilliamsJohn H Duncan BassettDavid M EvansJohn Brent RichardsPublished in: Nature genetics (2018)
Osteoporosis is a common aging-related disease diagnosed primarily using bone mineral density (BMD). We assessed genetic determinants of BMD as estimated by heel quantitative ultrasound in 426,824 individuals, identifying 518 genome-wide significant loci (301 novel), explaining 20% of its variance. We identified 13 bone fracture loci, all associated with estimated BMD (eBMD), in ~1.2 million individuals. We then identified target genes enriched for genes known to influence bone density and strength (maximum odds ratio (OR) = 58, P = 1 × 10-75) from cell-specific features, including chromatin conformation and accessible chromatin sites. We next performed rapid-throughput skeletal phenotyping of 126 knockout mice with disruptions in predicted target genes and found an increased abnormal skeletal phenotype frequency compared to 526 unselected lines (P < 0.0001). In-depth analysis of one gene, DAAM2, showed a disproportionate decrease in bone strength relative to mineralization. This genetic atlas provides evidence linking associated SNPs to causal genes, offers new insight into osteoporosis pathophysiology, and highlights opportunities for drug development.
Keyphrases
- genome wide
- bone mineral density
- postmenopausal women
- dna methylation
- body composition
- copy number
- single cell
- magnetic resonance imaging
- stem cells
- gene expression
- high resolution
- high throughput
- computed tomography
- optical coherence tomography
- insulin resistance
- mass spectrometry
- molecular dynamics simulations
- genome wide identification
- bone loss
- sensitive detection
- ultrasound guided
- wild type