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Using multivariable Mendelian randomization to estimate the causal effect of bone mineral density on osteoarthritis risk, independently of body mass index

OBJECTIVES: Observational analyses suggest that high bone mineral density (BMD) is a risk factor for osteoarthritis (OA); it is unclear whether this represents a causal effect or shared aetiology and whether these relationships are body mass index (BMI)-independent. We performed bidirectional Mendel...

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Autores principales: Hartley, April, Sanderson, Eleanor, Granell, Raquel, Paternoster, Lavinia, Zheng, Jie, Smith, George Davey, Southam, Lorraine, Hatzikotoulas, Konstantinos, Boer, Cindy G, van Meurs, Joyce, Zeggini, Eleftheria, Gregson, Celia L, Tobias, Jon H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9365636/
https://www.ncbi.nlm.nih.gov/pubmed/34897459
http://dx.doi.org/10.1093/ije/dyab251
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author Hartley, April
Sanderson, Eleanor
Granell, Raquel
Paternoster, Lavinia
Zheng, Jie
Smith, George Davey
Southam, Lorraine
Hatzikotoulas, Konstantinos
Boer, Cindy G
van Meurs, Joyce
Zeggini, Eleftheria
Gregson, Celia L
Tobias, Jon H
author_facet Hartley, April
Sanderson, Eleanor
Granell, Raquel
Paternoster, Lavinia
Zheng, Jie
Smith, George Davey
Southam, Lorraine
Hatzikotoulas, Konstantinos
Boer, Cindy G
van Meurs, Joyce
Zeggini, Eleftheria
Gregson, Celia L
Tobias, Jon H
author_sort Hartley, April
collection PubMed
description OBJECTIVES: Observational analyses suggest that high bone mineral density (BMD) is a risk factor for osteoarthritis (OA); it is unclear whether this represents a causal effect or shared aetiology and whether these relationships are body mass index (BMI)-independent. We performed bidirectional Mendelian randomization (MR) to uncover the causal pathways between BMD, BMI and OA. METHODS: One-sample (1S)MR estimates were generated by two-stage least-squares regression. Unweighted allele scores instrumented each exposure. Two-sample (2S)MR estimates were generated using inverse-variance weighted random-effects meta-analysis. Multivariable MR (MVMR), including BMD and BMI instruments in the same model, determined the BMI-independent causal pathway from BMD to OA. Latent causal variable (LCV) analysis, using weight-adjusted femoral neck (FN)–BMD and hip/knee OA summary statistics, determined whether genetic correlation explained the causal effect of BMD on OA. RESULTS: 1SMR provided strong evidence for a causal effect of BMD estimated from heel ultrasound (eBMD) on hip and knee OA {odds ratio [OR](hip) = 1.28 [95% confidence interval (CI) = 1.05, 1.57], p = 0.02, OR(knee) = 1.40 [95% CI = 1.20, 1.63], p = 3 × 10(–5), OR per standard deviation [SD] increase}. 2SMR effect sizes were consistent in direction. Results suggested that the causal pathways between eBMD and OA were bidirectional (β(hip) = 1.10 [95% CI = 0.36, 1.84], p = 0.003, β(knee) = 4.16 [95% CI = 2.74, 5.57], p = 8 × 10(–9), β = SD increase per doubling in risk). MVMR identified a BMI-independent causal pathway between eBMD and hip/knee OA. LCV suggested that genetic correlation (i.e. shared genetic aetiology) did not fully explain the causal effects of BMD on hip/knee OA. CONCLUSIONS: These results provide evidence for a BMI-independent causal effect of eBMD on OA. Despite evidence of bidirectional effects, the effect of BMD on OA did not appear to be fully explained by shared genetic aetiology, suggesting a direct action of bone on joint deterioration.
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spelling pubmed-93656362022-08-11 Using multivariable Mendelian randomization to estimate the causal effect of bone mineral density on osteoarthritis risk, independently of body mass index Hartley, April Sanderson, Eleanor Granell, Raquel Paternoster, Lavinia Zheng, Jie Smith, George Davey Southam, Lorraine Hatzikotoulas, Konstantinos Boer, Cindy G van Meurs, Joyce Zeggini, Eleftheria Gregson, Celia L Tobias, Jon H Int J Epidemiol Methods OBJECTIVES: Observational analyses suggest that high bone mineral density (BMD) is a risk factor for osteoarthritis (OA); it is unclear whether this represents a causal effect or shared aetiology and whether these relationships are body mass index (BMI)-independent. We performed bidirectional Mendelian randomization (MR) to uncover the causal pathways between BMD, BMI and OA. METHODS: One-sample (1S)MR estimates were generated by two-stage least-squares regression. Unweighted allele scores instrumented each exposure. Two-sample (2S)MR estimates were generated using inverse-variance weighted random-effects meta-analysis. Multivariable MR (MVMR), including BMD and BMI instruments in the same model, determined the BMI-independent causal pathway from BMD to OA. Latent causal variable (LCV) analysis, using weight-adjusted femoral neck (FN)–BMD and hip/knee OA summary statistics, determined whether genetic correlation explained the causal effect of BMD on OA. RESULTS: 1SMR provided strong evidence for a causal effect of BMD estimated from heel ultrasound (eBMD) on hip and knee OA {odds ratio [OR](hip) = 1.28 [95% confidence interval (CI) = 1.05, 1.57], p = 0.02, OR(knee) = 1.40 [95% CI = 1.20, 1.63], p = 3 × 10(–5), OR per standard deviation [SD] increase}. 2SMR effect sizes were consistent in direction. Results suggested that the causal pathways between eBMD and OA were bidirectional (β(hip) = 1.10 [95% CI = 0.36, 1.84], p = 0.003, β(knee) = 4.16 [95% CI = 2.74, 5.57], p = 8 × 10(–9), β = SD increase per doubling in risk). MVMR identified a BMI-independent causal pathway between eBMD and hip/knee OA. LCV suggested that genetic correlation (i.e. shared genetic aetiology) did not fully explain the causal effects of BMD on hip/knee OA. CONCLUSIONS: These results provide evidence for a BMI-independent causal effect of eBMD on OA. Despite evidence of bidirectional effects, the effect of BMD on OA did not appear to be fully explained by shared genetic aetiology, suggesting a direct action of bone on joint deterioration. Oxford University Press 2021-12-13 /pmc/articles/PMC9365636/ /pubmed/34897459 http://dx.doi.org/10.1093/ije/dyab251 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the International Epidemiological Association. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methods
Hartley, April
Sanderson, Eleanor
Granell, Raquel
Paternoster, Lavinia
Zheng, Jie
Smith, George Davey
Southam, Lorraine
Hatzikotoulas, Konstantinos
Boer, Cindy G
van Meurs, Joyce
Zeggini, Eleftheria
Gregson, Celia L
Tobias, Jon H
Using multivariable Mendelian randomization to estimate the causal effect of bone mineral density on osteoarthritis risk, independently of body mass index
title Using multivariable Mendelian randomization to estimate the causal effect of bone mineral density on osteoarthritis risk, independently of body mass index
title_full Using multivariable Mendelian randomization to estimate the causal effect of bone mineral density on osteoarthritis risk, independently of body mass index
title_fullStr Using multivariable Mendelian randomization to estimate the causal effect of bone mineral density on osteoarthritis risk, independently of body mass index
title_full_unstemmed Using multivariable Mendelian randomization to estimate the causal effect of bone mineral density on osteoarthritis risk, independently of body mass index
title_short Using multivariable Mendelian randomization to estimate the causal effect of bone mineral density on osteoarthritis risk, independently of body mass index
title_sort using multivariable mendelian randomization to estimate the causal effect of bone mineral density on osteoarthritis risk, independently of body mass index
topic Methods
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9365636/
https://www.ncbi.nlm.nih.gov/pubmed/34897459
http://dx.doi.org/10.1093/ije/dyab251
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