Results 81 to 90 of about 81,479 (293)

Evaluating the causal relationship of Levo-carnitine and risk of schizophrenia: a bidirectional two-sample mendelian randomization study

BMC Psychiatry
Background Schizophrenia is a debilitating mental disorder affecting about 1% of the global population, characterized by significant cognitive impairments and a strong hereditary component.
Haoyuan Qiu, Zicheng Zhong, Tianxing Wu, Haoran Hu, Meijuan Zhou, Zhijun Feng   +5 more
doaj   +1 more source

Joint analysis of SNP and gene expression data in genetic association studies of complex diseases [PDF]

, 2014
Genetic association studies have been a popular approach for assessing the association between common Single Nucleotide Polymorphisms (SNPs) and complex diseases.
Huang, Yen-Tsung, Lin, Xihong, VanderWeele, Tyler J.   +2 more
core   +1 more source

Complementary multi‐omics profiling of chronic thromboembolic pulmonary hypertension reveals immune cell alterations, epigenetic changes, and genetically supported candidate genes

Animal Models and Experimental Medicine, EarlyView.
This study presents an integrative multi‐omics framework to uncover the molecular mechanisms and potential biomarkers of chronic thromboembolic pulmonary hypertension (CTEPH). Anthropometric and biochemical data were correlated using canonical correlation analysis, revealing key cardiometabolic associations. Single‐cell RNA sequencing identified immune
Xiaopeng Liu, Xia Zheng, Yajun Zhang, Yinghui Fang, Yanan Zhen   +4 more
wiley   +1 more source

Introduction to Mendelian randomization

Annals of Clinical Epidemiology
Mendelian randomization (MR), i.e. instrumental variable analysis using genetic instruments, is an approach that incorporates population genetics to improve causal inference. Given that genetics are randomly allocated at conception, this resembles the randomization process in randomized controlled trials and hence is more resistant to unobserved ...
Yeung, Shiu Lun Au, Luo, Shan, Iwagami, Masao, Goto, Atsushi   +3 more
openaire   +2 more sources

Mendelian Randomization and Type 2 Diabetes [PDF]

Cardiovascular Drugs and Therapy, 2016
Type 2 diabetes (T2DM) is a common, complex disease that poses a substantial burden on individual and population health, but we have relatively limited understanding of its underlying pathophysiology. Observational studies have highlighted large numbers of risk factors for T2DM, some of which are modifiable through behavioural or pharmacological ...
openaire   +4 more sources

Genetic prediction of blood cell reactivity and its potential causal influence on bone continuity and density disorders

Animal Models and Experimental Medicine, EarlyView.
We applied Mendelian randomization to explore causal links between blood cell traits and skeletal disorders. Using genetic instruments from large‐scale summary statistics, we assessed effects on bone continuity, density, and structural integrity. Sensitivity and reverse analyses confirmed robust associations, highlighting potential shared biological ...
Zhiqin Deng, Zhe Zhao, Wenting Jiang, Xiaoqiang Chen, Jianquan Liu, Xu Tao, Zhengyang Lin, Zhenhan Deng, Wencui Li   +8 more
wiley   +1 more source

Causal and mediating effects of lipid and facial aging: association study integrating GWAS, eQTL, mQTL, and pQTL data

Lipids in Health and Disease
Background Increasing evidence suggests a potential causal association between lipid levels and facial aging. The aim of this study was to investigate the relationship between levels of specific lipids and facial aging via Mendelian randomization methods.
Mingjian Zhao, Zhanchen He, Lukuan Liu, Yichen Wang, LinQi Gao, Yuxuan Shang, Mengru Zhu   +6 more
doaj   +1 more source

Exploring causal associations of alcohol with cardiovascular and metabolic risk factors in a Chinese population using Mendelian randomization analysis [PDF]

, 2015
Observational studies suggest that moderate alcohol consumption may be protective for cardiovascular disease, but results may be biased by confounding and reverse causality.
Carslake, David J, Chen, Hongbin, Chen, Jiaping, Davey Smith, George, Hu, Zhibin, Liu, Sijun, Lu, Feng, Qian, Yun, Taylor, Amy E   +8 more
core   +2 more sources

Longitudinal Phenotypic Trajectories in GNAO1‐Related Disorders: Defining Disease Progression and Clinical Profiles

Annals of Neurology, EarlyView.
Objective Pathogenic variants in GNAO1 cause a spectrum of epilepsy, movement disorders, and developmental impairment. Clinical heterogeneity complicates prognosis and therapeutic development. We present the first longitudinal natural history study of GNAO1‐related disorders (GNAO1‐RD) to delineate phenotypic trajectories. Methods Sixty‐six individuals
Jana Domínguez‐Carral, Ana María Domínguez Cobo, Sol Balsells, Anna Aguilar‐Ros, Chu‐Ting Chang, William G. Ludlam, Kathryn Yang, Katerina Bernardi, Micaela Chinigioli, Ainara Salazar‐Villacorta, Veronica Di Pisa, Nuria Lamagrande‐Casanova, Elena González‐Alguacil, Beatriz De la Casa‐Fages, Akihisa Okumura, Josefina Rodríguez, Ayush Agarwal, Daniela Muñoz‐Chesta, Carolina Reynoso‐Osnayo, Amy Lin, Brahim Tabarki, Jobaida Parvin, Adolfo Alberto Gallo, Andreia Forno, Fabian Maass, Johnny Montiel Blanco, Salomé Nasif, Elizabeth Jennions, Jorge Luis Ramón‐Gómez, Helene Verhelst, Juan José Nieto Barceló, Dunja Čokolić Petrović, Luz Victoria García Ruiz, Christoph van Riesen, Paulo Rego Sousa, Maria del Pilar Massaro Sanchez, Husnea Ara Khan, Wejdan Hakami, Jennifer Friedman, Iván Espinoza‐Quinteros, Monica Troncoso, Divyani Garg, Micaela Pauni, Hirokazu Kurahashi, María Concepción Miranda‐Herrero, Anna Duat‐Rodriguez, Luca Soliani, Manju A. Kurian, Angeles Schteinschnaider, Siddharth Srivastava, Darius Ebrahimi‐Fakhari, Kirill A. Martemyanov, Juan Darío Ortigoza‐Escobar   +52 more
wiley   +1 more source

Risk factors of systemic lupus erythematosus: an overview of systematic reviews and Mendelian randomization studies

Advances in Rheumatology, 2023
Background The etiology of systemic lupus erythematosus is complex and incurable. A large number of systematic reviews have studied the risk factors of it.
Xin-Yu Xiao, Qian Chen, Yun-Zhou Shi, Li-Wen Li, Can Hua, Hui Zheng   +5 more
doaj   +1 more source