Genetic Diagnostics in Routine Osteological Assessment of Adult Low Bone Mass Disorders

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Ralf Oheim - , Universität Hamburg (Autor:in)
  • Elena Tsourdi - , Universitätsklinikum Carl Gustav Carus Dresden (Autor:in)
  • Lothar Seefried - , Universitätsklinikum Würzburg (Autor:in)
  • Gisela Beller - , Centre of Muscle and Bone Research (Autor:in)
  • Max Schubach - , Charité – Universitätsmedizin Berlin (Autor:in)
  • Eik Vettorazzi - , Universität Hamburg (Autor:in)
  • Julian Stürznickel - , Universität Hamburg (Autor:in)
  • Tim Rolvien - , Universität Hamburg (Autor:in)
  • Nadja Ehmke - , Charité – Universitätsmedizin Berlin (Autor:in)
  • Alena Delsmann - , Universität Hamburg (Autor:in)
  • Franca Genest - , Universitätsklinikum Würzburg (Autor:in)
  • Ulrike Krüger - , Charité – Universitätsmedizin Berlin (Autor:in)
  • Tomasz Zemojtel - , Charité – Universitätsmedizin Berlin (Autor:in)
  • Florian Barvencik - , Universität Hamburg (Autor:in)
  • Thorsten Schinke - , Universität Hamburg (Autor:in)
  • Franz Jakob - , Universitätsklinikum Würzburg (Autor:in)
  • Lorenz C. Hofbauer - , Medizinische Klinik und Poliklinik 3, UniversitätsCentrum für Gesundes Altern (in der MK3), Universitätsklinikum Carl Gustav Carus Dresden (Autor:in)
  • Stefan Mundlos - , Charité – Universitätsmedizin Berlin (Autor:in)
  • Uwe Kornak - , Charité – Universitätsmedizin Berlin (Autor:in)

Abstract

CONTEXT: Many different inherited and acquired conditions can result in premature bone fragility/low bone mass disorders (LBMDs).

OBJECTIVE: We aimed to elucidate the impact of genetic testing on differential diagnosis of adult LBMDs and at defining clinical criteria for predicting monogenic forms.

METHODS: Four clinical centers broadly recruited a cohort of 394 unrelated adult women before menopause and men younger than 55 years with a bone mineral density (BMD) Z-score < -2.0 and/or pathological fractures. After exclusion of secondary causes or unequivocal clinical/biochemical hallmarks of monogenic LBMDs, all participants were genotyped by targeted next-generation sequencing.

RESULTS: In total, 20.8% of the participants carried rare disease-causing variants (DCVs) in genes known to cause osteogenesis imperfecta (COL1A1, COL1A2), hypophosphatasia (ALPL), and early-onset osteoporosis (LRP5, PLS3, and WNT1). In addition, we identified rare DCVs in ENPP1, LMNA, NOTCH2, and ZNF469. Three individuals had autosomal recessive, 75 autosomal dominant, and 4 X-linked disorders. A total of 9.7% of the participants harbored variants of unknown significance. A regression analysis revealed that the likelihood of detecting a DCV correlated with a positive family history of osteoporosis, peripheral fractures (> 2), and a high normal body mass index (BMI). In contrast, mutation frequencies did not correlate with age, prevalent vertebral fractures, BMD, or biochemical parameters. In individuals without monogenic disease-causing rare variants, common variants predisposing for low BMD (eg, in LRP5) were overrepresented.

CONCLUSION: The overlapping spectra of monogenic adult LBMD can be easily disentangled by genetic testing and the proposed clinical criteria can help to maximize the diagnostic yield.

Details

OriginalspracheEnglisch
Seiten (von - bis)e3048-e3057
Seitenumfang10
FachzeitschriftThe Journal of clinical endocrinology and metabolism
Jahrgang107
Ausgabenummer7
PublikationsstatusVeröffentlicht - 16 Juni 2022
Peer-Review-StatusJa

Externe IDs

PubMedCentral PMC9202726
Scopus 85132453107
unpaywall 10.1210/clinem/dgac147
Mendeley 4828a130-e1d1-315d-93dc-4d1e9c771033
ORCID /0000-0002-8691-8423/work/142236009

Schlagworte

Forschungsprofillinien der TU Dresden

DFG-Fachsystematik nach Fachkollegium

Fächergruppen, Lehr- und Forschungsbereiche, Fachgebiete nach Destatis

Ziele für nachhaltige Entwicklung

Schlagwörter

  • Adult, Bone Density/genetics, Female, Genotype, High-Throughput Nucleotide Sequencing, Humans, Male, Mutation, Osteogenesis Imperfecta/diagnosis, Osteoporosis/diagnosis, Spinal Fractures, genotype-phenotype correlation, genetic risk score, osteoporosis, low bone mass disorder, monogenic disorder, rare genetic variant

Bibliotheksschlagworte