Results 281 to 290 of about 23,652,556 (316)

Unraveling the role of lipid metabolism in ALS risk: a Mendelian randomization analysis using GWAS data. [PDF]

Orphanet J Rare Dis
Zhang H, Li C, Yu J, Liang Y, Wu Y, Cao F.   +5 more
europepmc   +1 more source

Decoding Causality in Periodontal Medicine: Background Factors and Other Sources of Uncertainty

Journal of Periodontal Research, EarlyView.
Philippe Bouchard
wiley   +1 more source

Periodontal Medicine and the Limitations of Linear Causality: Time for a Cybernetic Framework

Journal of Periodontal Research, EarlyView.
Tom Lonsdale
wiley   +1 more source

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Depression and sarcopenia: a Mendelian randomization analysis

Psychiatric Genetics, 2023
Background The association between depression and sarcopenia has been reported in observational studies but the causality of depression on sarcopenia remained unknown. We aimed to assess the causal effect between major depressive disorder (MDD) and sarcopenia using the two-sample Mendelian randomization (MR) method.
Yehong, Lu, Ruijie, Zhang, Qiang, Zheng
openaire   +2 more sources

A General Approach to Sensitivity Analysis for Mendelian Randomization

Statistics in Biosciences, 2020
Mendelian Randomization (MR) represents a class of instrumental variable methods using genetic variants. It has become popular in epidemiological studies to account for the unmeasured confounders when estimating the effect of exposure on outcome. The success of Mendelian Randomization depends on three critical assumptions, which are difficult to verify.
Weiming, Zhang, Debashis, Ghosh
openaire   +2 more sources

On Mendelian randomization analysis of case‐control study

Biometrics, 2019
AbstractMendelian randomization (MR) analysis uses genotypes as instruments to estimate the causal effect of an exposure in the presence of unobserved confounders. The existing MR methods focus on the data generated from prospective cohort studies. We develop a procedure for studying binary outcomes under a case‐control design.
Han Zhang, Jing Qin, Sonja I. Berndt, Demetrius Albanes, Lu Deng, Mitchell H. Gail, Kai Yu   +6 more
openaire   +3 more sources

Adiposity and cancer: a Mendelian randomization analysis in the UK biobank

International Journal of Obesity, 2021
Observational and Mendelian randomization (MR) studies link obesity and cancer, but it remains unclear whether these depend upon related metabolic abnormalities.We used information from 321,472 participants in the UK biobank, including 30,561 cases of obesity-related cancer.
Muktar Ahmed, Anwar Mulugeta, S. Hong Lee, Ville-Petteri Mäkinen, Terry Boyle, Elina Hyppönen   +5 more
openaire   +3 more sources

Daytime sleepiness and risk of stroke: A Mendelian randomization analysis

Clinical Neurology and Neurosurgery, 2021
Daytime sleepiness is known to be related to stroke, but whether daytime sleepiness is a risk factor for stroke remains unclear. We conducted a two-sample Mendelian randomization study to assess the relationship between daytime sleepiness and stroke, ischemic stroke (IS) and IS subtypes.Thirty-six single-nucleotide polymorphisms (SNPs) associated with ...
Yazhou, Ma, Mengmeng, Wang, Xin, Chen, Wang, Ruan, Jianrong, Yao, Xuegan, Lian   +5 more
openaire   +2 more sources

Obesity and peripheral arterial disease: A Mendelian Randomization analysis

Atherosclerosis, 2016
Observational studies showed that obesity is a major risk factor for peripheral arterial disease (PAD). However, conventional epidemiology studies are vulnerable to residual bias from confounding factors. We aimed to explore the causality of obesity in development of PAD using Mendelian Randomization (MR) approach.A MR analysis was performed in 11,477 ...
Ya, Huang, Min, Xu, Lan, Xie, Tiange, Wang, Xiaolin, Huang, Xiaofei, Lv, Ying, Chen, Lin, Ding, Lin, Lin, Weiqing, Wang, Yufang, Bi, Yimin, Sun, Yifei, Zhang, Guang, Ning   +13 more
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