Evidence map›Paper›PMID 27091742›Full record

ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2016

Worldwide variation in hip fracture incidence weakly aligns with genetic divergence between populations.

I J Wallace, L R Botigué, M Lin, J B Smaers, B M Henn, F E Grine

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Article in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Observational
  3. Ethnic differences in risk of hip fracture in Norway: a NOREPOS study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2020
    Article
  4. Biomechanics of Osteoporotic Fracture Fixation.Current osteoporosis reports · 2019
    Review
  5. Article
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5 · Who and what money

Authors and funding

6 authors.

I J WallaceDepartment of Anthropology, Stony Brook University, Stony Brook, NY, 11794, USA. iwallace@fas.harvard.edu.
L R BotiguéDepartment of Ecology and Evolution, Stony Brook University, Stony Brook, NY, 11794, USA.
M LinGraduate Program in Genetics, Stony Brook University, Stony Brook, NY, 11794, USA.
J B SmaersDepartment of Anthropology, Stony Brook University, Stony Brook, NY, 11794, USA.
B M HennDepartment of Ecology and Evolution, Stony Brook University, Stony Brook, NY, 11794, USA.
F E GrineDepartment of Anthropology, Stony Brook University, Stony Brook, NY, 11794, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledThis study investigates the influence of genetic differentiation in determining worldwide heterogeneity in osteoporosis-related hip fracture rates. The results indicate that global variation in fracture incidence exceeds that expected on the basis of random genetic variance.

introductionWorldwide, the incidence of osteoporotic hip fractures varies considerably. This variability is believed to relate mainly to non-genetic factors. It is conceivable, however, that genetic susceptibility indeed differs across populations. Here, we present the first quantitative assessment of the effects of genetic differentiation on global variability in hip fracture rates.

methodsWe investigate the observed variance in publically reported age-standardized rates of hip fracture among 28 populations from around the world relative to the expected variance given the phylogenetic relatedness of these populations. The extent to which these variances are similar constitutes a "phylogenetic signal," which was measured using the K statistic. Population genetic divergence was calculated using a robust array of genome-wide single nucleotide polymorphisms.

resultsWhile phylogenetic signal is maximized when K > 1, a K value of only 0.103 was detected in the combined-sex fracture rate pattern across the 28 populations, indicating that fracture rates vary more than expected based on phylogenetic relationships. When fracture rates for the sexes were analyzed separately, the degree of phylogenetic signal was also found to be small (females: K = 0.102; males: K = 0.081).

conclusionsThe lack of a strong phylogenetic signal underscores the importance of factors other than stochastic genetic diversity in shaping worldwide heterogeneity in hip fracture incidence.

Indexed as

PhylogenyFemaleGlobal HealthHip FracturesHumansIncidenceMaleOsteoporotic FracturesBone fragilityEthnicityGeneticsOsteoporosisPhylogenetic comparative methodsPhylogenetic signal

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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.