Results 81 to 90 of about 45,355 (266)

New‐Onset Type 2 Diabetes Mellitus and Cancer Risk: A Matched Cohort Study in China Kadoorie Biobank

International Journal of Cancer, EarlyView.
ABSTRACT The prevalence of type 2 diabetes mellitus (T2DM) is rising rapidly in China and is linked to increased cancer risk, but causality remains unclear due to biases. We examined the causal effect of T2DM on cancer risk using bias‐minimizing methods.
Mengying Wang, Owen Tipping, Bowen Liu, Derrick A. Bennett, Baiyong Shen, Siyi Zou, Shulin Zhao, Richard M. Martin, Matthew Sperrin, Andrew G. Renehan   +9 more
wiley   +1 more source

Can Omega-3 prevent the accidence of stroke: a mendelian randomization study

Hereditas
Background The lipid-lowering effects of Omega-3 fatty acids have been widely reported, yet their impact on ischemic stroke remains controversial. Reports on the protective effects of unsaturated fatty acids, such as Omega-6 and Omega-7, as well as ...
Chongcheng Xi, Jie Zhang, Haihui Liu, Sian Tao, Ying Xie, Jibin Liu, Changqing Tong, Dong Tian, Hua Ye, Xiaobo Zhang   +9 more
doaj   +1 more source

Causal association of plasminogen activators and their inhibitors with Alzheimer’s disease: a Mendelian randomization study

Archives of Medical Science
Introduction Alzheimer’s disease (AD) is the most common cause of dementia and contributes to a huge burden of disease worldwide. Observational studies have found that tissue plasminogen activator (t-PA) inhibits the development of AD, but little is ...
Xin Guo, Fangyu Gao, Baolong Pan, Feng Gao, Jingsi Zhang, Shanshan Wang, Qiao Niu   +6 more
doaj   +1 more source

The mitochondrial DNA copy number and ovary‐related reproductive disorders: A bidirectional two‐sample Mendelian randomization study

International Journal of Gynecology &Obstetrics, Volume 169, Issue 1, Page 112-120, April 2025.
Abstract Objective In the present study, a bidirectional two‐sample Mendelian randomization approach was utilized to explore potential causal relationships between mitochondrial DNA copy number (mtDNA‐CN) and ovary‐related reproductive disorders (ORRDs), including ovarian dysfunction, ovarian cyst, polycystic ovary syndrome (PCOS), premature ovarian ...
Ke Peng, Xiao Han, Congquan Wu, Qiaowen Lu, Shujun Gao   +4 more
wiley   +1 more source

Mendelian randomization.

, 2008
ECNIS is a Network of Excellence within the European Union’s Sixth Framework Programme, Priority 5: Food Quality and Safety. It brings together some of the best European research groups in a concerted effort to achieve improved understanding of the environmental causes of cancer, of the potential of diet to prevent cancer, and of the ways by which ...
Brennan, Paul, Hung, Rayjean
openaire  

Majorbio Cloud: An integrated platform for single‐omics and integrated multi‐omics analysis of microbiome and metabolome

iMetaOmics, EarlyView.
Advances in sequencing and mass spectrometry have propelled life sciences into the multi‐omics era. Metabolomics and microbiomics are widely applied across various research fields, yet massive data analysis faces challenges like limited tool functionality and high technical barriers.
Jianhua Zhao, Linmeng Liu, Bing Yang, Mengxi Li, Junbiao Zhang, Jichen Han, Xiaodan Li, Yan Wang, Shaobing Du, Qianhui Han, Linna Zhang, Wenjuan Sun, Hao Gao, Yachen Dong, Huasheng Huang, Xianglin Zhang, Kegang Yu   +16 more
wiley   +1 more source

Outlier Detection in Mendelian Randomization

Statistics in Medicine
ABSTRACT Mendelian randomization (MR) uses genetic variants as instrumental variables to infer causal effects of exposures on an outcome. One key assumption of MR is that the genetic variants used as instrumental variables are independent of the outcome conditional on the risk factor and unobserved confounders.
Maximilian M. Mandl, Anne‐Laure Boulesteix, Stephen Burgess, Verena Zuber   +3 more
openaire   +4 more sources

Biological age in the meta omics era: Integrating physical activity, sleep, and diet to reshape paths of healthy ageing

iMetaOmics, EarlyView.
Biological age provides a translational endpoint linking modifiable lifestyle behaviors—physical activity, sleep, and diet—to multi‐omics changes and downstream clinical outcomes. Integrating multiple ageing clocks with inflammatory, metabolic, and oxidative pathways supports reproducible, intervention‐ready strategies to slow ageing and extend ...
Yanwei You, Yicong Cui, Yuquan Chen, Jiarong He, Dongmin Wang, Danijela Gasevic, Xifeng Wu, Steve Horvath, Mingming Zhang, Xindong Ma   +9 more
wiley   +1 more source

A uterine‐centric view of reproductive senescence: Genetic insights into late‐life performance in laying hens

iMetaOmics, EarlyView.
This study identifies uterus weight as a heritable (h2 = 0.45) intermediate phenotype that independently associates with late‐life egg production and eggshell quality in aged laying hens. Genome‐wide association study (GWAS) reveals a genome‐wide significant locus on chromosome 3 and suggestive loci on chromosome 11 for uterus weight, mediation ...
Junnan Zhang, Mingyue Gao, Ronglang Cai, Xinwei Jiang, Boxuan Zhang, Zhaojie Li, Ning Yang, Congjiao Sun   +7 more
wiley   +1 more source

Microbiome and aging: Trajectories of microbiome age across human ecosystems and their systemic effects

iMeta, EarlyView.
Microbiome age (MA) has emerged as an innovative biomarker of biological aging, reflecting host aging trajectories through dynamic alterations in microbial composition, function, and host–microbe interactions across multiple body ecosystems. Diverse computational strategies—including traditional machine learning, deep learning, and multi‐omics ...
Zhexin Ni, Jiaojiao Xie, Zhichun Zhang, Keming Zhang, Jie Ding, Mingyang Chang, Ying Su, Yunan Zhang, Mingfei Yao, Chengyuan Wang, Yan Yan, Wenjie Fang, Hainv Gao, Xuecong Tian, Yangshuo Li, Xinlin Zhu, Wen Zhang, Wanqing Liao, Gaoyuan Xu, Guojing Chen, Xiaoyi Lv, Chaoqin Yu, Weihua Pan, Vadim Molodtsov, Lanjuan Li, Yue Gao, Wei Zhou   +26 more
wiley   +1 more source