학술논문

Life-Course Genome-wide Association Study Meta-analysis of Total Body BMD and Assessment of Age-Specific Effects
Document Type
article
Author
Medina-Gomez, CarolinaKemp, John PTrajanoska, KaterinaLuan, Jian’anChesi, AlessandraAhluwalia, Tarunveer SMook-Kanamori, Dennis OHam, AnneliesHartwig, Fernando PEvans, Daniel SJoro, RaimoNedeljkovic, IvanaZheng, Hou-FengZhu, KunAtalay, MustafaLiu, Ching-TiNethander, MariaBroer, LindaPorleifsson, GudmarMullin, Benjamin HHandelman, Samuel KNalls, Mike AJessen, Leon EHeppe, Denise HMRichards, J BrentWang, CarolChawes, BoSchraut, Katharina EAmin, NajafWareham, NickKarasik, DavidVan der Velde, NathalieIkram, M ArfanZemel, Babette SZhou, YanhuaCarlsson, Christian JLiu, YongmeiMcGuigan, Fiona EBoer, Cindy GBønnelykke, KlausRalston, Stuart HRobbins, John AWalsh, John PZillikens, M CarolaLangenberg, ClaudiaLi-Gao, RuifangWilliams, Frances MKHarris, Tamara BAkesson, KristinaJackson, Rebecca DSigurdsson, GunnarHeijer, Martin denvan der Eerden, Bram CJvan de Peppel, JeroenSpector, Timothy DPennell, CraigHorta, Bernardo LFelix, Janine FZhao, Jing HuaWilson, Scott Gde Mutsert, RenéeBisgaard, HansStyrkársdóttir, UnnurJaddoe, Vincent WOrwoll, EricLakka, Timo AScott, RobertGrant, Struan FALorentzon, Mattiasvan Duijn, Cornelia MWilson, James FStefansson, KariPsaty, Bruce MKiel, Douglas POhlsson, ClaesNtzani, Evangeliavan Wijnen, Andre JForgetta, VincenzoGhanbari, MohsenLogan, John GWilliams, Graham RBassett, JH DuncanCroucher, Peter IEvangelou, EvangelosUitterlinden, Andre GAckert-Bicknell, Cheryl LTobias, Jonathan HEvans, David MRivadeneira, Fernando
Source
American Journal of Human Genetics. 102(1)
Subject
Rare Diseases
Aging
Human Genome
Osteoporosis
Clinical Research
Genetics
Aetiology
2.1 Biological and endogenous factors
Musculoskeletal
Good Health and Well Being
Adolescent
Age Factors
Animals
Bone Density
Child
Child
Preschool
Genetic Loci
Genome-Wide Association Study
Humans
Infant
Infant
Newborn
Mice
Knockout
Polymorphism
Single Nucleotide
Quantitative Trait
Heritable
Regression Analysis
BMD
CREB3L1
ESR1
GWASs
RANKL
age-dependent effects
bone mineral density
fracture
genetic correlation
genome-wide association studies
meta-regression
total-body DXA
Biological Sciences
Medical and Health Sciences
Genetics & Heredity
Language
Abstract
Bone mineral density (BMD) assessed by DXA is used to evaluate bone health. In children, total body (TB) measurements are commonly used; in older individuals, BMD at the lumbar spine (LS) and femoral neck (FN) is used to diagnose osteoporosis. To date, genetic variants in more than 60 loci have been identified as associated with BMD. To investigate the genetic determinants of TB-BMD variation along the life course and test for age-specific effects, we performed a meta-analysis of 30 genome-wide association studies (GWASs) of TB-BMD including 66,628 individuals overall and divided across five age strata, each spanning 15 years. We identified variants associated with TB-BMD at 80 loci, of which 36 have not been previously identified; overall, they explain approximately 10% of the TB-BMD variance when combining all age groups and influence the risk of fracture. Pathway and enrichment analysis of the association signals showed clustering within gene sets implicated in the regulation of cell growth and SMAD proteins, overexpressed in the musculoskeletal system, and enriched in enhancer and promoter regions. These findings reveal TB-BMD as a relevant trait for genetic studies of osteoporosis, enabling the identification of variants and pathways influencing different bone compartments. Only variants in ESR1 and close proximity to RANKL showed a clear effect dependency on age. This most likely indicates that the majority of genetic variants identified influence BMD early in life and that their effect can be captured throughout the life course.