Mendelian randomization

E Sanderson, MM Glymour, MV Holmes… - Nature reviews …, 2022 - nature.com
Mendelian randomization (MR) is a term that applies to the use of genetic variation to
address causal questions about how modifiable exposures influence different outcomes …

Mendelian randomization: concepts and scope

RC Richmond, GD Smith - Cold Spring …, 2022 - perspectivesinmedicine.cshlp.org
Mendelian randomization (MR) is a method of studying the causal effects of modifiable
exposures (ie, potential risk factors) on health, social, and economic outcomes using genetic …

Mendelian randomization: causal inference leveraging genetic data

LG Chen, JD Tubbs, Z Liu, TQ Thach… - Psychological …, 2024 - cambridge.org
Mendelian randomization (MR) leverages genetic information to examine the causal
relationship between phenotypes allowing for the presence of unmeasured confounders …

[HTML][HTML] Causal inference on neuroimaging data with Mendelian randomisation

B Taschler, SM Smith, TE Nichols - NeuroImage, 2022 - Elsevier
While population-scale neuroimaging studies offer the promise of discovery and
characterisation of subtle risk factors, massive sample sizes increase the power for both …

Simultaneous estimation of bi-directional causal effects and heritable confounding from GWAS summary statistics

L Darrous, N Mounier, Z Kutalik - Nature communications, 2021 - nature.com
Mendelian Randomisation (MR) is an increasingly popular approach that estimates the
causal effect of risk factors on complex human traits. While it has seen several extensions …

Artificial intelligence for dementia genetics and omics

C Bettencourt, N Skene, S Bandres‐Ciga… - Alzheimer's & …, 2023 - Wiley Online Library
Genetics and omics studies of Alzheimer's disease and other dementia subtypes enhance
our understanding of underlying mechanisms and pathways that can be targeted. We …

[HTML][HTML] Genetic variants in HFE are associated with non-alcoholic fatty liver disease in lean individuals

Z Sun, X Pan, A Tian, I Surakka, T Wang, X Jiao, S He… - JHEP Reports, 2023 - Elsevier
Abstract Background & Aims Around 20% of patients with non-alcoholic fatty liver disease
(NAFLD) are lean. Increasing evidence suggests that lean NAFLD is a unique subtype of the …

A review of causal discovery methods for molecular network analysis

J Kelly, C Berzuini, B Keavney… - … Genetics & Genomic …, 2022 - Wiley Online Library
Background With the increasing availability and size of multi‐omics datasets, investigating
the casual relationships between molecular phenotypes has become an important aspect of …

From classical mendelian randomization to causal networks for systematic integration of multi-omics

A Yazdani, A Yazdani, R Mendez-Giraldez… - Frontiers in …, 2022 - frontiersin.org
The number of studies with information at multiple biological levels of granularity, such as
genomics, proteomics, and metabolomics, is increasing each year, and a biomedical …

Inferring causal direction between two traits in the presence of horizontal pleiotropy with GWAS summary data

H Xue, W Pan - PLoS genetics, 2020 - journals.plos.org
Orienting the causal relationship between pairs of traits is a fundamental task in scientific
research with significant implications in practice, such as in prioritizing molecular targets and …