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Mendelian randomization
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 …
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 …
exposures (ie, potential risk factors) on health, social, and economic outcomes using genetic …
Mendelian randomization: causal inference leveraging genetic data
Mendelian randomization (MR) leverages genetic information to examine the causal
relationship between phenotypes allowing for the presence of unmeasured confounders …
relationship between phenotypes allowing for the presence of unmeasured confounders …
[HTML][HTML] Causal inference on neuroimaging data with Mendelian randomisation
While population-scale neuroimaging studies offer the promise of discovery and
characterisation of subtle risk factors, massive sample sizes increase the power for both …
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
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 …
causal effect of risk factors on complex human traits. While it has seen several extensions …
Artificial intelligence for dementia genetics and omics
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 …
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 …
(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
Background With the increasing availability and size of multi‐omics datasets, investigating
the casual relationships between molecular phenotypes has become an important aspect of …
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 …
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
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 …
research with significant implications in practice, such as in prioritizing molecular targets and …