Are the Relationships of Lean Mass and Fat Mass With Bone Microarchitecture Causal or Due to Familial Confounders? A Novel Study of Adult Female Twin Pairs.

BONE MICROARCHITECTURE CAUSATION FAT MASS GENETIC FACTORS LEAN MASS TWIN PAIRS

Journal

JBMR plus
ISSN: 2473-4039
Titre abrégé: JBMR Plus
Pays: England
ID NLM: 101707013

Informations de publication

Date de publication:
Sep 2020
Historique:
received: 27 01 2020
revised: 12 06 2020
accepted: 24 06 2020
entrez: 30 9 2020
pubmed: 1 10 2020
medline: 1 10 2020
Statut: epublish

Résumé

It is not known whether the relationships of lean mass (LM) and fat mass (FM) with bone microarchitecture and geometry are causal and/or are because of confounders, including familial confounders arising from genetic and environment effects shared by relatives. We tested the hypotheses that: (i) LM is associated with cortical bone traits, (ii) FM is associated with trabecular bone traits, and (iii) these relationships of LM and FM with bone microarchitecture and geometry have a causal component. Total body composition was quantified for 98 monozygotic (MZ) and 54 dizygotic (DZ) white female twin pairs aged 31 to 77 years. Microarchitecture at the distal tibia and distal radius was quantified using HRpQCT and StrAx software. We applied the Inference about Causation through Examination of FAmiliaL CONfounding (ICE FALCON) method. Within-individuals, distal tibia total bone area, cortical area, cortical thickness, and trabecular number were positively associated with LM (standardized regression coefficient (

Identifiants

pubmed: 32995689
doi: 10.1002/jbm4.10386
pii: JBM410386
pmc: PMC7507375
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e10386

Informations de copyright

© 2020 The Authors. JBMR Plus published by Wiley Periodicals LLC. on behalf of American Society for Bone and Mineral Research.

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Auteurs

Minh Bui (M)

Centre for Epidemiology and Biostatistics, School of Population and Global Health University of Melbourne Melbourne Victoria Australia.

Roger Zebaze (R)

Department of Medicine, School of Clinical Sciences Monash University Melbourne Victoria Australia.

Shuai Li (S)

Centre for Epidemiology and Biostatistics, School of Population and Global Health University of Melbourne Melbourne Victoria Australia.
Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care University of Cambridge Cambridge UK.

John L Hopper (JL)

Centre for Epidemiology and Biostatistics, School of Population and Global Health University of Melbourne Melbourne Victoria Australia.

Åshild Bjørnerem (Å)

Department of Clinical Medicine UiT - The Arctic University of Norway Tromsø Norway.
Department of Obstetrics and Gynecology University Hospital of North Norway Tromsø Norway.

Classifications MeSH