ReviewCold Spring Harbor perspectives in medicine2021
Integrating Family-Based and Mendelian Randomization Designs.
Review in Cold Spring Harbor perspectives in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed.
- Multivariate GWAS framework for family trios with parental phenotypes to control dynastic effects.BMC bioinformatics · 2026Article
- Maternal and fetal genetic predispositions to insulin deficiency and resistance affect fetal growth through distinct pathways.Diabetologia · 2026Article
- Mendelian randomization study on the effects of women's reproductive traits and socioeconomic traits on pregnancy complications.BMC pregnancy and childbirth · 2026Article
- Mendelian Randomization Methods for Causal Inference: Estimands, Identification and Inference.Statistics in medicine · 2026Review
- Review
- Measurement Error and Power in Family-Based Extensions to Mendelian Randomization.Behavior genetics · 2025Article
- Assessing the causal and independent impact of parity-related reproductive factors on risk of breast cancer subtypes.BMC medicine · 2025Article
- Investigating the Relationship Between Maternal Smoking During Pregnancy and Offspring Handedness: Extending the Proxy Gene-by-Environment Mendelian Randomization Study Design to Include Polygenic Risk Scores.Behavior genetics · 2025Article
- A robust and powerful GWAS method for family trios supporting within-family Mendelian randomization analysis.Research square · 2025Article
- A Review of Mendelian Randomization: Assumptions, Methods, and Application to Obesity-Related Diseases.Journal of obesity & metabolic syndrome · 2025Review
- It Takes Three: Parental Hostility, Brain Morphology, and Child Externalizing Problems in a Parent-Offspring Neuroimaging Trio Design.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- The genetic landscape of substance use disorders.Molecular psychiatry · 2024Review
- Implications of the genomic revolution for education research and policy.British educational research journal · 2024Article
- Genetically predicted green tea intake and the risk of arterial embolism and thrombosis.Frontiers in medicine · 2023Article
- The causal effect of HbA1c on white matter brain aging by two-sample Mendelian randomization analysis.Frontiers in neuroscience · 2023Article
- Research Review: How to interpret associations between polygenic scores, environmental risks, and phenotypes.Journal of child psychology and psychiatry, and allied disciplines · 2022Review
- A lifecourse mendelian randomization study highlights the long-term influence of childhood body size on later life heart structure.PLoS biology · 2022Article
- Causal Inference with Genetic Data: Past, Present, and Future.Cold Spring Harbor perspectives in medicine · 2022Review
- Human Genomics and Drug Development.Cold Spring Harbor perspectives in medicine · 2022Review
- Mendelian Randomization: Concepts and Scope.Cold Spring Harbor perspectives in medicine · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Most Mendelian randomization (MR) studies published in the literature to date have involved analyses of unrelated, putatively independent sets of individuals. However, estimates obtained from these sorts of studies are subject to a range of biases including dynastic effects, assortative mating, residual population stratification, and horizontal pleiotropy. The inclusion of related individuals in MR studies can help control for and, in some cases, estimate the effect of these biases on causal parameters. In this review, we discuss these biases, how they can affect MR studies, and describe three sorts of family-based study designs that can be used to control for them. We conclude that including family information from related individuals is not only possible given the world's existing twin, birth, and large-scale population-based cohorts, but likely to reap rich rewards in understanding the etiology of complex traits and diseases in the near future.
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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.