ReviewFrontiers in endocrinology2019
Use of Mendelian Randomization to Examine Causal Inference in Osteoporosis.
Review in Frontiers in endocrinology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Leveraging deep phenotyping from health check-up cohort with 10,000 Korean individuals for phenome-wide association study of 136 traits.Scientific reports · 2022Pooled it
- Human biomarker navigator.iMeta · 2026Review
- Causal genes for osteoporosis: Mendelian randomization analysis with multilayer xQTL data.Medicine · 2026Article
- Remnant cholesterol and risk of aortic aneurysm and dissection: a prospective cohort Study from the UK biobank study and mendelian randomization analysis.Lipids in health and disease · 2025Article
- The Causal Effect of Basal Metabolic Rate on Type 2 Diabetes: A Two-Sample Mendelian Randomization Study.Journal of diabetes research · 2025Article
- Investigating the causal association between serum uric acid levels and gastric cancer risk: a Mendelian randomization study.Scientific reports · 2024Article
- Article
- The proliferation of derivative and redundant studies in endocrinology due to the application of Mendelian Randomisation and other methods to open databases.Frontiers in endocrinology · 2024Article
- Identification of shared genetic risks underlying metabolic syndrome and its related traits in the Korean population.Frontiers in genetics · 2024Article
- Mendelian randomization of chronic hepatitis B and cardiovascular disease.Frontiers in cardiovascular medicine · 2024Article
- Investigating the association between serum ADAM/ADAMTS levels and bone mineral density by mendelian randomization study.BMC genomics · 2023Article
- Determinants of bone mass in older adults with normal- and overweight derived from the crosstalk with muscle and adipose tissue.Scientific reports · 2023Article
- Effect of basal metabolic rate on osteoporosis: A Mendelian randomization study.Frontiers in public health · 2023Article
- A Guide for Understanding and Designing Mendelian Randomization Studies in the Musculoskeletal Field.JBMR plus · 2022Review
- New Horizons: the value of UK Biobank to research on endocrine and metabolic disorders.The Journal of clinical endocrinology and metabolism · 2022Article
- Elevated blood pressure, antihypertensive medications and bone health in the population: revisiting old hypotheses and exploring future research directions.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2022Article
- Circulating Sclerostin Levels Are Positively Related to Coronary Artery Disease Severity and Related Risk Factors.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2022Article
- Body shape and risk of glaucoma: A Mendelian randomization.Frontiers in medicine · 2022Article
- Identification of genetic variants for blood insulin level in sex-stratified Korean population and evaluation of the causal relationship between blood insulin level and polycystic ovary syndrome.Genes & genomics · 2021Article
- Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Epidemiological studies have identified many risk factors for osteoporosis, however it is unclear whether these observational associations reflect true causal effects, or the effects of latent confounding or reverse causality. Mendelian randomization (MR) enables causal relationships to be evaluated, by examining the relationship between genetic susceptibility to the risk factor in question, and the disease outcome of interest. This has been facilitated by the development of two-sample MR analysis, where the exposure and outcome are measured in different studies, and by exploiting summary result statistics from large well-powered genome-wide association studies that are available for thousands of traits. Though MR has several inherent limitations, the field is rapidly evolving and at least 14 methodological extensions have been developed to overcome these. The present paper aims to discuss some of the limitations in the MR analytical framework, and how this method has been applied to the osteoporosis field, helping to reinforce conclusions about causality, and discovering potential new regulatory pathways, exemplified by our recent MR study of sclerostin.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.