Results 131 to 140 of about 81,479 (293)

Genetic Markers as Instrumental Variables [PDF]

The use of genetic markers as instrumental variables (IV) is receiving increasing attention from epidemiologists, economists, statisticians and social scientists.
Carol Propper, Debbie A. Lawlor, Frank Windmeijer, George Davey Smith, Stephanie von Hinke Kessler Scholder   +4 more
core  

Isolating transdiagnostic effects reveals specific genetic profiles in psychiatric disorders

JCPP Advances, EarlyView.
Abstract Background Evidence indicates substantial genetic overlap between psychiatric diagnoses. Accounting for these transdiagnostic effects can sharpen research on disorder‐specific genetic architecture and patterns of comorbidity. Methods We applied genomic structural equation modeling to genome‐wide association study summary statistics from 11 ...
Engin Keser, Wangjingyi Liao, Andrea G. Allegrini, Kaili Rimfeld, Thalia C. Eley, Robert Plomin, Margherita Malanchini   +6 more
wiley   +1 more source

Revealing the link between gut microbiota and brain tumor risk: a new perspective from Mendelian randomization

Frontiers in Cellular and Infection Microbiology
BackgroundRecent studies have shown that gut microbiota may be related to the occurrence of brain tumors, but direct evidence is lacking. This study used the Mendelian randomization study (MR) method to explore the potential causal link between gut ...
Jianyu Yang, Jietao Lu, Yuhan Dong, Youdong Wei, Michael Christian, Junmeng Huang, Haiyan Kuang, Du Cao   +7 more
doaj   +1 more source

Predicted genetic consequences of alternative population control strategies for North American plains bison in Yellowstone National Park

The Journal of Wildlife Management, EarlyView.
Management of bison in Yellowstone National Park under the available strategies that maintained ≥3,500 individuals (1:1 sex ratio), removed <40% of the population at a time and prioritized relatives for removal were predicted to maintain genetic variation at levels consistent with long‐term conservation (>95% of existing variation).
Shawna J. Zimmerman, Chris Geremia, Sara J. Oyler‐McCance   +2 more
wiley   +1 more source

Gut microbiota, blood metabolites, & pan-cancer: a bidirectional Mendelian randomization & mediation analysis

AMB Express
We propose using Mendelian randomization analysis on GWAS data and MetaboAnalyst to model gut microbiota, metabolic pathways, blood metabolites, and cancer risk. We examined 473 gut microbiota, 205 pathways, 1400 metabolites, and 8 cancers.
Biqing Luan, Yang Yang, Qizhi Yang, Zhiqiang Li, Zhihui Xu, Yaqin Chen, Meiting Wang, Wenlin Chen, Fei Ge   +8 more
doaj   +1 more source

Genetic association of lipids and lipid-lowering drug target genes with Endometrial carcinoma: a drug target Mendelian randomization study

Frontiers in Endocrinology
BackgroundAberrant lipid metabolism is intricately linked to the development of endometrial cancer, and statin lipid-lowering medications are regarded as promising adjunctive therapies for future management of this malignancy.
Zhehan Yang, Zhehan Yang, Zhehan Yang, Junpan Chen, Minghao Wen, Jiayuan Lei, Ming Zeng, Ming Zeng, Sichen Li, Sichen Li, Yao Long, Yao Long, Zhiyi Zhou, Chunyan Wang, Chunyan Wang   +14 more
doaj   +1 more source

Association Between Body Mass Index and Depression/Anxiety in an East Asian Population: A Mendelian Randomization Study

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Obesity and psychiatric disorders are the leading causes of global morbidity. Epidemiological studies suggest a bidirectional link between higher body mass index (BMI) and mental health outcomes, but the direction of causality remains uncertain due to confounding and reverse causation. We performed a Mendelian randomization (MR) analysis using
Perl Han Lee, Szu‐Chia Chen, Chien‐Hung Lee, Jiun‐Hung Geng, Chih‐Hung Ko   +4 more
wiley   +1 more source

MendelR: A One‐Stop R Toolkit for Mendelian Randomization Analysis

Med Research, EarlyView.
ABSTRACT MendelR is a fully automated R package specifically developed for Mendelian randomization (MR) studies, designed to address the technical challenges of causal inference in biomedical research. As a powerful causal inference method, Mendelian randomization can effectively reduce confounding bias in observational studies.
Xiaohong Ke, Kailai Li, Anqi Lin, Yasi Zhang, Peng Luo   +4 more
wiley   +1 more source

Genetically predicted ankylosing spondylitis increases the risk of heart failure: a Mendelian randomization study

Frontiers in Cardiovascular Medicine
BackgroundObservational studies have indicated a potential association between ankylosing spondylitis and elevated cardiovascular disease (CVD) risk. However, it remains uncertain whether this association reflects a causal association.
Chennan Liu, Chennan Liu, Laicheng Wang, Mei Lin, Mei Lin, Jing You, Jing You, Xuan Zheng, Xuan Zheng, Ailing Wang, Ailing Wang, Yunchai Lin, Yunchai Lin, Feng Peng, Feng Peng, Dan Hu   +15 more
doaj   +1 more source

Comprehensive Evidence for Mortality and Underlying Morbidity Related to Visceral Fat Distribution

Med Research, EarlyView.
ABSTRACT Linking obesity to mortality is an intriguing and controversial topic. This study tried to comprehensively assess 8 adiposity surrogates and mortality association among middle‐to‐old‐aged adults to identify a superior one, and explore explanatory disorders. Data sources included the National Health and Nutrition Examination Survey (NHANES), UK
Haolong Zhou, Danyang Ling, Qin Huang, Jiaojun Liang, Guanhua Su, Zhangbo Cui, Ziwei Chen, Xiaowen Ma, Zhou Jiang, Shuo Zheng, Haodong Tian, Qi Wang   +11 more
wiley   +1 more source