Femoral neck width genetic risk score is a novel independent risk factor for hip fractures.

BMD DXA genome-wide association study (GWAS) hip geometry

Journal

Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research
ISSN: 1523-4681
Titre abrégé: J Bone Miner Res
Pays: England
ID NLM: 8610640

Informations de publication

Date de publication:
19 Apr 2024
Historique:
received: 31 07 2023
revised: 02 11 2023
accepted: 09 11 2023
pubmed: 13 3 2024
medline: 13 3 2024
entrez: 13 3 2024
Statut: ppublish

Résumé

Femoral neck width (FNW) derived from DXA scans may provide a useful adjunct to hip fracture prediction. Therefore, we investigated whether FNW is related to hip fracture risk independently of femoral neck bone mineral density (FN-BMD), using a genetic approach. FNW was derived from points automatically placed on the proximal femur using hip DXA scans from 38 150 individuals (mean age 63.8 yr, 48.0% males) in UK Biobank (UKB). Genome-wide association study (GWAS) identified 71 independent genome-wide significant FNW SNPs, comprising genes involved in cartilage differentiation, hedgehog, skeletal development, in contrast to SNPs identified by FN-BMD GWAS which primarily comprised runx1/Wnt signaling genes (MAGMA gene set analyses). FNW and FN-BMD SNPs were used to generate genetic instruments for multivariable Mendelian randomization. Greater genetically determined FNW increased risk of all hip fractures (odds ratio [OR] 1.53; 95% CI, 1.29-1.82 per SD increase) and femoral neck fractures (OR 1.58;1.30-1.92), but not trochanteric or forearm fractures. In contrast, greater genetically determined FN-BMD decreased fracture risk at all 4 sites. FNW and FN-BMD SNPs were also used to generate genetic risk scores (GRSs), which were examined in relation to incident hip fracture in UKB (excluding the FNW GWAS population; n = 338 742, 3222 cases) using a Cox proportional hazards model. FNW GRS was associated with increased risk of all incident hip fractures (HR 1.08;1.05-1.12) and femoral neck fractures (hazard ratio [HR] 1.10;1.06-1.15), but not trochanteric fractures, whereas FN-BMD GRS was associated with reduced risk of all hip fracture types. We conclude that the underlying biology regulating FNW and FN-BMD differs, and that DXA-derived FNW is causally related to hip fractures independently of FN-BMD, adding information beyond FN-BMD for hip fracture prediction. Hence, FNW derived from DXA analyses or a FNW GRS may contribute clinically useful information beyond FN-BMD for hip fracture prediction. Femoral neck width (FNW) derived from DXA scans may provide useful information about hip fracture prediction, over and above that provided by BMD measurements. Therefore, we investigated whether FNW is related to hip fracture risk independently of BMD, using a genetic approach. FNW was derived from points automatically placed on the hip in DXA scans obtained from 38 150 individuals (mean age 63.8 yr, 48.0% males) in UK Biobank. Seventy-one distinct genetic factors were found to be associated with FNW. Individuals who were predicted by their genes to have greater FNW had a higher risk of hip but not forearm fractures. In contrast, those with greater genetically determined BMD of the femoral neck had a lower risk of both hip and forearm fractures. We conclude that the underlying biology regulating FNW and BMD of the femoral neck differs, and that FNW derived from DXA analyses may contribute clinically useful information beyond BMD for hip fracture prediction.

Autres résumés

Type: plain-language-summary (eng)
Femoral neck width (FNW) derived from DXA scans may provide useful information about hip fracture prediction, over and above that provided by BMD measurements. Therefore, we investigated whether FNW is related to hip fracture risk independently of BMD, using a genetic approach. FNW was derived from points automatically placed on the hip in DXA scans obtained from 38 150 individuals (mean age 63.8 yr, 48.0% males) in UK Biobank. Seventy-one distinct genetic factors were found to be associated with FNW. Individuals who were predicted by their genes to have greater FNW had a higher risk of hip but not forearm fractures. In contrast, those with greater genetically determined BMD of the femoral neck had a lower risk of both hip and forearm fractures. We conclude that the underlying biology regulating FNW and BMD of the femoral neck differs, and that FNW derived from DXA analyses may contribute clinically useful information beyond BMD for hip fracture prediction.

Identifiants

pubmed: 38477772
pii: 7517693
doi: 10.1093/jbmr/zjae002
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

241-251

Subventions

Organisme : Wellcome Trust
ID : 209233/Z/17/Z
Pays : United Kingdom
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_21003; MC_PC_21001
Pays : United Kingdom

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of the American Society for Bone and Mineral Research.

Auteurs

Jonathan H Tobias (JH)

Musculoskeletal Research Unit, Translational Health Sciences, Southmead Hospital, University of Bristol, Bristol BS10 5NB, United Kingdom.
Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol BS8 2BN, United Kingdom.

Maria Nethander (M)

Sahlgrenska Osteoporosis Centre, Centre for Bone and Arthritis Research, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, 41345 Gothenburg, Sweden.
Bioinformatics and Data Center, Sahlgrenska Academy at University of Gothenburg, 40530 Gothenburg, Sweden.

Benjamin G Faber (BG)

Musculoskeletal Research Unit, Translational Health Sciences, Southmead Hospital, University of Bristol, Bristol BS10 5NB, United Kingdom.
Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, University of Bristol, Bristol BS8 2BN, United Kingdom.

Sophie V Heppenstall (SV)

Musculoskeletal Research Unit, Translational Health Sciences, Southmead Hospital, University of Bristol, Bristol BS10 5NB, United Kingdom.

Raja Ebsim (R)

Division of Informatics, Imaging and Data Sciences, School of Health Sciences, The University of Manchester, Manchester M13 9PT, United Kingdom.

Tim Cootes (T)

Division of Informatics, Imaging and Data Sciences, School of Health Sciences, The University of Manchester, Manchester M13 9PT, United Kingdom.

Claudia Lindner (C)

Division of Informatics, Imaging and Data Sciences, School of Health Sciences, The University of Manchester, Manchester M13 9PT, United Kingdom.

Fiona R Saunders (FR)

Centre for Arthritis and Musculoskeletal Health, University of Aberdeen, Aberdeen AB24 3FX, United Kingdom.

Jenny S Gregory (JS)

Centre for Arthritis and Musculoskeletal Health, University of Aberdeen, Aberdeen AB24 3FX, United Kingdom.

Richard M Aspden (RM)

Centre for Arthritis and Musculoskeletal Health, University of Aberdeen, Aberdeen AB24 3FX, United Kingdom.

Nicholas C Harvey (NC)

Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton SO16 6YD, United Kingdom.
NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, United Kingdom.

John P Kemp (JP)

Mater Research Institute, University of Queensland, Brisbane QLD, Australia 4102.

Monika Frysz (M)

Musculoskeletal Research Unit, Translational Health Sciences, Southmead Hospital, University of Bristol, Bristol BS10 5NB, United Kingdom.

Claes Ohlsson (C)

Sahlgrenska Osteoporosis Centre, Centre for Bone and Arthritis Research, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, 41345 Gothenburg, Sweden.
Department of Drug Treatment, Sahlgrenska University Hospital, 41345 Gothenburg, Sweden.

Classifications MeSH