Gene-based association analysis of a large patient cohort provides insights into genetics of atypical femur fractures.
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Zhou W, Ås J, Shore-Lorenti C, Nguyen HH, van de Laarschot DM, Sztal-Mazer S, Grill V, Girgis CM, Stricker BHC, van der Eerden BCJ, Thakker RV, Appelman-Dijkstra NM, Wadelius M, Clifton-Bligh RJ, Hallberg P, Verkerk AJMH, van Rooij JGJ, Ebeling PR, Zillikens MC
J. Bone Miner. Res. 39 (9) 1315-1326 [2024-09-02; online 2024-08-10]
Several small genetic association studies have been conducted for atypical femur fracture (AFF) without replication of results. We assessed previously implicated and novel genes associated with AFFs in a larger set of unrelated AFF cases using whole exome sequencing (WES). We performed gene-based association analysis on 139 European AFF cases and 196 controls matched for bisphosphonate use. We tested all rare, protein-altering variants using both candidate gene and hypothesis-free approaches. In the latter, genes suggestively associated with AFFs (uncorrected p-values <.01) were investigated in a Swedish whole-genome sequencing replication study and assessed in 46 non-European cases. In the candidate gene analysis, PLOD2 showed a suggestive signal. The hypothesis-free approach revealed 10 tentative associations, with XRN2, SORD, and PLOD2 being the most likely candidates for AFF. XRN2 and PLOD2 showed consistent direction of effect estimates in the replication analysis, albeit not statistically significant. Three SNPs associated with SORD expression according to the GTEx portal were in linkage disequilibrium (R2 ≥ 0.2) with an SNP previously reported in a genome-wide association study of AFF. The prevalence of carriers of variants for both PLOD2 and SORD was higher in Asian versus European cases. While we did not identify genes enriched for damaging variants, we found suggestive evidence of a role for XRN2, PLOD2, and SORD, which requires further investigation. Our findings indicate that genetic factors responsible for AFFs are not widely shared among AFF cases. The study provides a stepping-stone for future larger genetic studies of AFF.
NGI Uppsala (SNP&SEQ Technology Platform) [Service]
National Genomics Infrastructure [Service]
PubMed 39126371
DOI 10.1093/jbmr/zjae122
Crossref 10.1093/jbmr/zjae122
pmc: PMC11371903
pii: 7731319