Results 61 to 70 of about 95,337 (328)

The causal relationship between obesity and IgA nephropathy: a Mendelian randomization study

Linchuang shenzangbing zazhi
ObjectiveTo explore the potential causal relationship between obesity and IgA nephropathy through Mendelian randomization. MethodsSummary-level data from genome-wide association studies of obesity-related shapes (body mass index, percentage body fat ...
Peng-tao Dong, Zheng Wang, Xiao-yu Li, Qing Zhang   +3 more
doaj   +1 more source

Mendelian randomization while jointly modeling cis genetics identifies causal relationships between gene expression and lipids

Nature Communications, 2020
Mendelian randomization is a useful tool to infer causal relationships between traits, but can be confounded by the presence of pleiotropy. Here, the authors have developed MR-link, a Mendelian randomization method which accounts for unobserved ...
Adriaan van der Graaf, Annique Claringbould, Antoine Rimbert, BIOS Consortium, Harm-Jan Westra, Yang Li, Cisca Wijmenga, Serena Sanna   +7 more
doaj   +1 more source

Mendelian randomization shows a causal effect of low vitamin D on multiple sclerosis risk. [PDF]

, 2016
ObjectiveWe sought to estimate the causal effect of low serum 25(OH)D on multiple sclerosis (MS) susceptibility that is not confounded by environmental or lifestyle factors or subject to reverse causality.MethodsWe conducted mendelian randomization (MR ...
Alfredsson, Lars, Barcellos, Lisa F, Bäärnhielm, Maria, Gianfrancesco, Milena, Glymour, M Maria, Gyllenberg, Alexandra, Hedström, Anna Karin, Hillert, Jan, Kockum, Ingrid, Link, Jenny, Mok, Amanda, Olsson, Tomas, Quach, Hong, Rhead, Brooke, Schaefer, Catherine, Shao, Xiaorong, Shen, Ling   +16 more
core   +1 more source

Diagnosis, Prognosis, and Drug Target Discovery for Chronic Widespread Pain: A Large Proteogenomic Study

Advanced Science, EarlyView.
Plasma proteomics is leveraged to decode the biological underpinnings of chronic widespread pain. A nested machine learning framework integrates proteomic signatures, prospective outcomes, and Mendelian randomization to uncover 18 causal proteins.
Li Chen, Eoin Kelleher, Ruogu Meng, Duanke Liu, Yuchen Guo, Yunhe Wang, Yaqing Gao, Zhe Huang, Zhu Liang, Shuai Yuan, Chao Zeng, Jun Ma, Yanhui Dong, Anushka Irani, Guanghua Lei, Junqing Xie, Daniel Prieto‐Alhambra   +16 more
wiley   +1 more source

Phenome-wide Mendelian randomization study evaluating the association of circulating vitamin D with complex diseases

Frontiers in Nutrition, 2023
BackgroundCirculating vitamin D has been associated with multiple clinical diseases in observational studies, but the association was inconsistent due to the presence of confounders.
Jin-jian Xu, Jin-jian Xu, Xiao-bin Zhang, Wen-tao Tong, Teng Ying, Ke-qi Liu   +5 more
doaj   +1 more source

Treatment with Minicircle DNA Expressing a FGF23 Fragment in a Clinically relevant Mouse Model of X‐Linked Hypophosphatemic Rickets

Advanced Science, EarlyView.
The pathogenic role of PHEX isn't fully determined, and there is no radical cure for X‐linked hypophosphatemic rickets (XLHR). This study makes the first attempt to perform gene therapy using a minicircle DNA (MC‐DNA) vector expressing a fragment of FGF23 (amino acids 180‐251) in Phex‐T1349C mice and suggests MC‐DNA as a promisingly safe and effective ...
Huixiao Wu, Wanyi Zhao, Xinyu Chen, Yanzhou Wang, Shuoshuo Wei, Bo Xiang, Yingzhou Shi, Zongyue Li, Yangyang Yao, Jin Xie, Renyuan Qiu, Meng Shu, Shuo Xu, Ping Chen, Zhiying Chen, Yingjie Wu, Weibo Xia, Ling Gao, Yongfeng Song, Jiajun Zhao, Chao Xu   +20 more
wiley   +1 more source

Genetically Determined Plasma Lipid Levels and Risk of Diabetic Retinopathy: A Mendelian Randomization Study. [PDF]

, 2017
Results from observational studies examining dyslipidemia as a risk factor for diabetic retinopathy (DR) have been inconsistent. We evaluated the causal relationship between plasma lipids and DR using a Mendelian randomization approach.
Asian Genetic Epidemiology Network Consortium, Burdon, Kathryn P, Chen, Ching J, Chen, Yii-Der Ida, Cheng, Ching-Yu, Chong, Yong He, Christiansen, Mark W, Cotch, Mary Frances, Craig, Jamie E, Fan, Qiao, Gan, Alfred, Gudnason, Vilmundur, Guo, Xiuqing, Hai, Yang, Hancock, Heather, Hanis, Craig L, Huang, Yu-Chuen, Hung, Yi-Jen, Ipp, Eli, Jensen, Richard A, Jia, Yucheng, Kaidonis, Georgia, Kim, Jihye, Klein, Barbara EK, Klein, Ronald, Kuo, Jane, Lee, Wen-Jane, Li, Xiaohui, Liao, Wen-Ling, Liew, Gerald, Mitchell, Paul, Penman, Alan, Pollack, Samuela, Price, Alkes, Psaty, Bruce M, Rotter, Jerome I, Sandow, Kevin, Smith, Albert V, Sobrin, Lucia, Stanwyck, Lynn K, Tan, Gavin, Tsai, Fuu-Jen, Wang, Jie Jin, Wong, Tien Yin   +43 more
core   +1 more source

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

Bilirubin, Gallstones, and Mendelian Randomization [PDF]

JAMA Internal Medicine, 2013
Gallstonedisease causes a substantialhealthandeconomicburden in theUnited States andother developed countries.More than 6millionmen and 14millionwomen aged 20 to 74 years in the United States have gallbladder disease.1 Approximately 650 000 to 700 000 cholecystectomies are performed annually in the United States, and the costs associated with the ...
openaire   +2 more sources

Development of Age‐ and Sex‐Specific Metabolomics‐Based Biological Ageing Clocks for 10‐Year Mortality Prediction

Advanced Science, EarlyView.
Metabolomics‐based ageing clocks developed using blood biomarkers from over 215 000 European adults, improved the prediction of 10‐year all‐cause mortality compared to traditional models. Biological age acceleration is associated with higher mortality risk, as each additional year of metabolic age corresponded to at least 8% increased risk. These tools
Lei Peng, Ruijie Xie, Bernd Holleczek, Hermann Brenner, Ben Schöttker   +4 more
wiley   +1 more source