ArticleInternational journal of epidemiology2016
Using Mendelian randomization to investigate a possible causal relationship between adiposity and increased bone mineral density at different skeletal sites in children.
Article in International journal of epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.
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Who cites it
39 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Methodological approaches, challenges, and opportunities in the application of Mendelian randomisation to lifecourse epidemiology: A systematic literature review.European journal of epidemiology · 2024Pooled it
- Using multivariable Mendelian randomization to estimate the causal effect of bone mineral density on osteoarthritis risk, independently of body mass index.International journal of epidemiology · 2022Pooled it
- ADCY2, ADCY5, and GRIA1 as key genes of the cAMP signaling pathway in osteoporotic spinal fracture after manipulation of Wnt signaling.Archives of medical science : AMS · 2026Article
- GWAS-informed data integration and non-coding CRISPRi screen illuminate genetic etiology of bone mineral density.Genome biology · 2025Article
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- Causal relationship between childhood obesity and osteoporosis: A STROBE two-sample Mendelian randomization study.Medicine · 2025Article
- GWAS-Informed data integration and non-coding CRISPRi screen illuminate genetic etiology of bone mineral density.bioRxiv : the preprint server for biology · 2024Article
- Mining Candidate Genes and Identifying Risk Factors for Leg Disease in Broilers: A Mendelian Randomization Study.International journal of molecular sciences · 2024Article
- Causal relationships between anthropometric traits, bone mineral density, osteoarthritis and spinal stenosis: A Mendelian randomisation investigation.Osteoarthritis and cartilage · 2024Article
- The bidirectional causal association between psoriasis and psychological illnesses: a 2-sample Mendelian randomization study.Archives of dermatological research · 2023Article
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- Two-sample mendelian randomization reveals a causal association between membranous nephropathy and lung cancer.Communications biology · 2023Article
- Age-specific effects of weight-based body size on fracture risk in later life: a lifecourse Mendelian randomisation study.European journal of epidemiology · 2023Article
- A Guide for Understanding and Designing Mendelian Randomization Studies in the Musculoskeletal Field.JBMR plus · 2022Review
- Bone mineral density and body composition in normal weight, overweight and obese children.BMC pediatrics · 2022Article
- Mendelian Randomization: A Review of Methods for the Prevention, Assessment, and Discussion of Pleiotropy in Studies Using the Fat Mass and Obesity-Associated Gene as an Instrument for Adiposity.Frontiers in genetics · 2022Review
- Twelve years of GWAS discoveries for osteoporosis and related traits: advances, challenges and applications.Bone research · 2021Review
- Phenome-wide investigation of the causal associations between childhood BMI and adult trait outcomes: a two-sample Mendelian randomization study.Genome medicine · 2021Article
- Genetically Predicted Sex Hormone-Binding Globulin and Bone Mineral Density: A Mendelian Randomization Study.Calcified tissue international · 2021Article
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Abstract
backgroundLean mass is positively associated with bone mineral density (BMD). However, the relationship between adiposity and BMD is more controversial. In particular, it is unclear if the observational association between the two reflects a causal effect of fat mass on BMD. Previous Mendelian randomization (MR) studies using variants in the FTO and MC4R genes as genetic instruments for adiposity have suggested that fat mass does indeed causally influence BMD. However, it is possible that these genetic variants pleiotropically influence lean mass and affect BMD through pathways independent of adiposity, invalidating one of the core assumptions of MR and complicating interpretation of the analysis.
methodsTo investigate whether adiposity causally affects BMD, we investigated the relationship between fat mass and BMD at the skull (SK), upper limbs (UL) and lower limbs (LL), spine (SP) and pelvis (PE), using 32 body mass index (BMI)-associated SNPs, including a variant near ADCY3 that was strongly associated with fat but not lean mass in our sample. Dual-energy X-ray absorptiometry (DXA) scans and genetic data were available for 5221 subjects (mean age 9.9 years) from the Avon Longitudinal Study of Parents and Children. We performed a series of MR analyses involving single BMI-associated SNPs and allelic scores of these SNPs. We used new extensions of the MR method including MR Egger regression and multivariable MR, which are more robust to possible confounding effects due to horizontal pleiotropy and, in the case of multivariable MR, specifically account for the effect of lean mass in the analysis. Bidirectional Mendelian randomization analysis was also performed to examine whether BMD causally affected BMI and adiposity.
resultsObservationally, fat mass was strongly positively related to BMD at all sites, but more weakly at the skull. Instrumental variables (IV) analyses using an allelic score of BMI SNPs suggested that fat mass was causally related to LL-BMD, UL-BMD, SP-BMD and PE-BMD but not SK-BMD. Multivariable MR, Egger regression and IV analyses involving the ADCY3 variant suggested a positive causal effect of adiposity on all sites except the skull, and that an effect was present even after taking lean mass into account. Finally, IV analyses using BMD allelic scores showed no evidence of reverse causality between BMD and fat mass.
conclusionsOur results suggest that adiposity is causally related to increased BMD at all sites except the skull, perhaps reflecting positive effects of loading on bone formation at weighted but not unweighted sites. In contrast, we found no evidence for BMD causally affecting BMI or measures of adiposity. Our results illustrate how MR can be used profitably to investigate clinical questions relevant to osteoporosis.
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