Results 201 to 210 of about 191,471 (305)

Single‐Cell Transcriptomics and Deep Learning Link N‐(2‐Furoyl) Glycine to GLRX3 in Gastric Cancer

Med Research, EarlyView.
ABSTRACT Gastric cancer remains a health burden, and its metabolic drivers are poorly defined. N‐(2‐furoyl) glycine, a circulating metabolite, has been implicated in tumor biology. We investigated its causal role in gastric cancer and the underlying mechanism.
Yingyi Zhang, Chenchen Wang, Tianliang Liu, Ziliang Wang, Zhe Zhang   +4 more
wiley   +1 more source

Elucidating Immune Cell Mediated Causal Pathways Linking Blood Metabolites to Major Depressive Disorder: A Mediation Mendelian Randomization Analysis. [PDF]

Brain Behav
Xu Z, Zhou Y, Zhang X, Chen X, Li Y, Wang J, Chang T, Yuan Z, Jia H.   +8 more
europepmc   +1 more source

Mapping Causal Biology: Mendelian Randomization in the Era of Big Data

Med Research, EarlyView.
Mendelian randomization (MR) leverages genetic variants to mitigate confounding biases in causal inference. This review systematically maps MR's methodological evolution, highlights its expanding applications in epidemiology and drug target validation, and outlines future directions for overcoming current biases through dynamic, multi‐omics, and cross ...
Xuanlu Shen, Chunrun Qu, Zeyu Wang, Jinglin Zhou, Hongwei Liu, Yingjie Li, Bowei Liu, Hao Zhang, Nan Zhang, Jingwei Zhang, Quan Cheng   +10 more
wiley   +1 more source

The causal relationship between neuroimaging and Parkinson's disease: A two-sample Mendelian randomization study. [PDF]

Medicine (Baltimore)
Wang Y, Zhou S.
europepmc   +1 more source

Omics GWAS: A Multi‐Omics Integrative Analysis Platform for Genome‐Wide Association Studies

Med Research, EarlyView.
ABSTRACT With the rapid advancement of genome‐wide association studies (GWAS), downstream analyses of GWAS data have become essential for elucidating the genetic mechanisms that underlie complex diseases. However, current post‐GWAS analyses face numerous challenges, including heterogeneous data formats, challenges in multi‐omics integration, and ...
Xu Zhang, Kailai Li, Yasi Zhang, Cenwen Liu, Shunyi Huang, Yingzhao Jin, Yugeng Gao, Quan Cheng, Yunyun Mei   +8 more
wiley   +1 more source

Investigating the neurodevelopmental consequences of anesthesia and surgical interventions on cognitive and behavioral outcomes: A comprehensive Mendelian randomization study. [PDF]

Medicine (Baltimore)
Wu W, Fan Y.
europepmc   +1 more source

Simplification of Mendelian Formulae [PDF]

The American Naturalist, 1913
openaire   +1 more source

Proteomic Signatures of Ectopic Fat Distribution: Tissue‐Specific Drivers and Clinical Implications

Med Research, EarlyView.
Integration of plasma proteomics and multi‐organ MRI in 666 UK Biobank participants, combined with a knockoff‐based causal inference and machine learning framework, reveals organ‐specific drivers of ectopic fat: PLA2G1B (pancreas), ERBB2/IGFBP2 (liver), CA14 (muscle), and NCAM2/TNFRSF10B (pericardium). These drivers engage distinct pathways (e.g., PI3K‐
Bing Zhang, Fen Yang, Xingji Lian, Jie He, Shuijin Huang, Mingjuan Fan, Yin Liang, Jiaqiang Huang, LongYan Yin, Hong Wang   +9 more
wiley   +1 more source

Causal genes for osteoporosis: Mendelian randomization analysis with multilayer xQTL data. [PDF]

Medicine (Baltimore)
Yu F, Wan X, Qiu J.
europepmc   +1 more source

Rare‐Variant Burden across Lysosomal Genes Implicates Sialylation and Ganglioside Metabolism in Parkinson's Disease

Movement Disorders, EarlyView.
Abstract Background Lysosomal dysfunction is central to Parkinson's disease (PD) pathogenesis, with GBA1 representing the strongest established genetic risk factor. Numerous other genes involved in lysosomal sphingolipid, glycosphingolipid, and ceramide metabolism have been proposed as contributors to PD, highlighting the need for genetic analyses ...
Konstantin Senkevich, Sitki Cem Parlar, Cloe Chantereault, Lang Liu, Eric Yu, Uladzislau Rudakou, Jamil Ahmad, Jennifer A. Ruskey, Farnaz Asayesh, Dan Spiegelman, Cheryl Waters, Oury Monchi, Yves Dauvilliers, Nicolas Dupré, Lior Greenbaum, Sharon Hassin‐Baer, Irina Miliukhina, Alla Timofeeva, Anton Emelyanov, Sofya Pchelina, Roy N. Alcalay, Ziv Gan‐Or   +21 more
wiley   +1 more source