Evidence map›Paper›PMID 39574169›Full record

SynthesisHuman molecular genetics2025

The genetic architecture of hip shape and its role in the development of hip osteoarthritis and fracture.

Benjamin G Faber, Monika Frysz, Jaiyi Zheng, Huandong Lin, Kaitlyn A Flynn, Raja Ebsim, Fiona R Saunders, Rhona Beynon, Jennifer S Gregory, Richard M Aspden and 9 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Human molecular genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Is cam morphology a cause of osteoarthritis?Nature reviews. Rheumatology · 2026
    Article
  5. DXA-derived hip shape is associated with hip fracture: a longitudinal study of 38 123 UK Biobank participants.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2026
    Article
  6. Observational
  7. Article
  8. Article
  9. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Benjamin G FaberMusculoskeletal Research Unit, Learning and Research Building, University of Bristol, Southmead Hospital, Bristol BS10 5NB, United Kingdom.ORCID 0000-0003-4102-0190
Monika FryszMusculoskeletal Research Unit, Learning and Research Building, University of Bristol, Southmead Hospital, Bristol BS10 5NB, United Kingdom.
Jaiyi ZhengCAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China.
Huandong LinDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, 111 Yixueyuan Road, Xuhui District, Shanghai 200031, China.
Kaitlyn A FlynnMater Research Institute, The University of Queensland, 37 Kent Street, Woolloongabba, Brisbane QLD 4102, Australia.
Raja EbsimDivision of Informatics, Imaging and Data Sciences, The University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom.
Fiona R SaundersCentre for Arthritis and Musculoskeletal Health, University of Aberdeen, Kings College, Aberdeen AB24 3FX, United Kingdom.
Rhona BeynonMusculoskeletal Research Unit, Learning and Research Building, University of Bristol, Southmead Hospital, Bristol BS10 5NB, United Kingdom.
Jennifer S GregoryCentre for Arthritis and Musculoskeletal Health, University of Aberdeen, Kings College, Aberdeen AB24 3FX, United Kingdom.
Richard M AspdenCentre for Arthritis and Musculoskeletal Health, University of Aberdeen, Kings College, Aberdeen AB24 3FX, United Kingdom.
Nicholas C HarveyMedical Research Council Lifecourse Epidemiology Centre, University of Southampton,Tremona Road, Southampton SO16 6YD, United Kingdom.
Claudia LindnerDivision of Informatics, Imaging and Data Sciences, The University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom.
Timothy CootesDivision of Informatics, Imaging and Data Sciences, The University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom.
David M EvansInstitute for Molecular Bioscience, The University of Queensland, 306 Carmody Road, Brisbane St Lucia QLD 4067, Australia.
George Davey SmithMedical Research Council Integrative Epidemiology Unit, Oakfield House, University of Bristol, Bristol BS8 2BN, United Kingdom.
Xin GaoDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, 111 Yixueyuan Road, Xuhui District, Shanghai 200031, China.
Sijia WangCAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China.
John P KempMedical Research Council Integrative Epidemiology Unit, Oakfield House, University of Bristol, Bristol BS8 2BN, United Kingdom.
Jonathan H TobiasMusculoskeletal Research Unit, Learning and Research Building, University of Bristol, Southmead Hospital, Bristol BS10 5NB, United Kingdom.

Funding

Medical Research Council MC_PC_21003Medical Research Council MC_UP_A620_1015Medical Research Council MC_UU_12011/2Wellcome Trust 209233/Z/17/ZWellcome Trust 223267
6 · The paper itself

Abstract

objectivesHip shape is thought to be an important causal risk factor for hip osteoarthritis and fracture. We aimed to identify genetic determinants of hip shape and use these to assess causal relationships with hip osteoarthritis.

methodsStatistical hip shape modelling was used to derive 10 hip shape modes (HSMs) from DXA images in UK Biobank and Shanghai Changfeng cohorts (ntotal = 43 485). Genome-wide association study meta-analyses were conducted for each HSM. Two-sample Mendelian randomisation (MR) was used to estimate causal effects between HSM and hip osteoarthritis using hip fracture as a positive control.

resultsAnalysis of the first 10 HSMs identified 203 independent association signals (P < 5 × 10-9). Hip shape SNPs were also associated (P < 2.5 × 10-4) with hip osteoarthritis (n = 26) and hip fracture (n = 4). Fine mapping implicated SMAD3 and PLEC as candidate genes that may be involved in the development of hip shape and hip osteoarthritis. MR analyses suggested there was no causal effect between any HSM and hip osteoarthritis, however there was evidence that HSM2 (more obtuse neck-shaft angle) and HSM4 (wider femoral neck) have a causal effect on hip fracture (ORIVW method 1.27 [95% CI 1.12-1.44], P = 1.79 × 10-4 and ORIVW 0.74 [0.65-0.84], P = 7.60 × 10-6 respectively).

conclusionsWe report the largest hip shape GWAS meta-analysis that identifies hundreds of novel loci, some of which are also associated with hip osteoarthritis and hip fracture. MR analyses suggest hip shape may not cause hip osteoarthritis but is implicated in hip fractures. Consequently, interventions targeting hip shape in older adults to prevent hip osteoarthritis may prove ineffective.

Indexed as

HipHip FracturesOsteoarthritis, HipSmad3 ProteinAdaptor Proteins, Signal TransducingAgedFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisMiddle AgedPolymorphism, Single NucleotideRisk FactorsAdaptor Proteins, Signal TransducingSmad3 ProteinSMAD3 protein, humangenome wide association studyhip fracturehip shapeMendelian randomisationosteoarthritis

Identifiers

PMID39574169
PMCPMC11792254

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.