Results 71 to 80 of about 72,268 (331)

Genetic markers as instrumental variables: an application to child fat mass and academic achievement [PDF]

The use of genetic markers as instrumental variables (IV) is receiving increasing attention from economists. This paper examines the conditions that need to be met for genetic variants to be used as instruments.
Carol Propper, Debbie A. Lawlor, Frank Windmeijer, George Davey Smith, Stephanie von Hinke Kessler Scholder   +4 more
core   +3 more sources

Shared genetic contribution of type 2 diabetes and cardiovascular disease: Implications for prognosis and treatment [PDF]

, 2018
Purpose of Review: The increased cardiovascular disease (CVD) risk in subjects with type 2 diabetes (T2D) is well established. This review collates the available evidence and assesses the shared genetic background between T2D and CVD: the causal ...
Strawbridge, Rona J., van Zuydam, Natalie R.   +1 more
core   +1 more source

Smoking, alcohol consumption, and 24 gastrointestinal diseases: Mendelian randomization analysis

eLife, 2023
Background: Whether the positive associations of smoking and alcohol consumption with gastrointestinal diseases are causal is uncertain. We conducted this Mendelian randomization (MR) to comprehensively examine associations of smoking and alcohol consumption with common gastrointestinal diseases.
Yuan, Shuai, Chen, Jie, Ruan, Xixian, Sun, Yuhao, Zhang, Ke, Wang, Xiaoyan, Li, Xue, Gill, Dipender, Burgess, Stephen, Giovannucci, Edward, Larsson, Susanna C   +10 more
openaire   +4 more sources

A Novel 10‐Protein Score for Liver Fat Content Predicts Cardiovascular‐Kidney‐Metabolic Disease Risk

Advanced Science, EarlyView.
A novel 10‐protein plasma score precisely quantifies liver fat, outperforming the fatty liver index. It robustly predicts the risk of numerous cardiovascular‐kidney‐metabolic diseases and integrates with genetic data for precision prevention, offering a practical alternative to magnetic resonance imaging (MRI). Abstract Liver fat content (LFC) is a key
Xiaoqin Gan, Yuanxiu Wei, Yiting Wu, Xinyue Su, Gangling Wang, Sisi Yang, Ziliang Ye, Yanjun Zhang, Hao Xiang, Yu Huang, Yiwei Zhang, Yuanyuan Zhang, Xianhui Qin   +12 more
wiley   +1 more source

Therapeutic targets for muscle weakness in older adults: proteome-wide Mendelian randomization and colocalization analyses

The Journal of Nutrition, Health and Aging
Background: Recent research highlights the importance of muscular strength as a key factor in physical fitness, a strong indicator of overall mortality risk, and a vital target for preventing chronic diseases.
Shuai-Kang Wang, Qi-Jun Wang, Xuan Zhao, Peng Wang, Xiang-Yu Li, Wei Wang, Shi-Bao Lu   +6 more
doaj   +1 more source

Mendelian Randomization and Double Machine Learning Modeling Reveal Brain Imaging‐Derived Phenotypes as Functional Contributors to 18 Autoimmune Inflammatory Diseases

Advanced Science, EarlyView.
This schematic integrates the eight statistically significant causal relationships identified between 1,366 brain imaging‐derived phenotypes (IDPs) and 18 autoimmune inflammatory diseases (AIDs). Arrows indicate the direction of causality inferred from bidirectional two‐sample MR analyses.
Jinbin Chen, Xin Wang, Haifeng Ding, Bosheng Zheng, Keni Zeng, Chuying Hu, Jiayi Liu, Xiao Zhu, Haibing Yu   +8 more
wiley   +1 more source

Immunocytes do not mediate food intake and the causal relationship with allergic rhinitis: a comprehensive Mendelian randomization

Frontiers in Nutrition
BackgroundObservational studies indicate a correlation between food intake and allergic rhinitis. The potential interplay between the immune system and allergic rhinitis might contribute causally to both food intake and allergic rhinitis, providing ...
Zhi-qiang Zhang, Jing-yang Li, You-wei Bao, Yu-Qi Song, Dong-xu Song, Cheng Wang, Xin-hua Zhu   +6 more
doaj   +1 more source

Instrumental Variables Estimation with Some Invalid Instruments and its Application to Mendelian Randomization

, 2014
Instrumental variables have been widely used for estimating the causal effect between exposure and outcome. Conventional estimation methods require complete knowledge about all the instruments' validity; a valid instrument must not have a direct effect ...
Cai, T. Tony, Kang, Hyunseung, Small, Dylan S., Zhang, Anru   +3 more
core   +2 more sources

Network Mendelian randomization: using genetic variants as instrumental variables to investigate mediation in causal pathways [PDF]

, 2015
Background: Mendelian randomization uses genetic variants, assumed to be instrumental variables for a particular exposure, to estimate the causal effect of that exposure on an outcome.
Burgess, Stephen, Butterworth, Adam S., Daniel, Rhian, the EPIC-InterAct Consortium,, Thompson, Simon G.   +4 more
core   +1 more source

Connexin43 Deficiency Leads to Ventricular Arrhythmias by Reprogramming Proline Metabolism

Advanced Science, EarlyView.
The study demonstrated that connexin43 (Cx43) knockout caused arrhythmic phenotype and decreased proline content in vitro and in vivo. Mechanistically, Cx43 interacts with the amino acid transporter SNAT2 (sodium‐dependent neutral amino acid transporter), and its deficiency disrupts proline transport and metabolism.
Hangying Ying, Hangping Fan, Yunhe Wang, Ruhong Jiang, Dongsheng Cai, Hui Cheng, Hao Wang, Chenyang Jiang, Ping Liang   +8 more
wiley   +1 more source