A5046583135- Genetic Associations and Epidemiology
- Cardiovascular Disease and Adiposity
- Birth, Development, and Health
- Nutrition and Health in Aging
- Nutritional Studies and Diet
- Cardiac Health and Mental Health
- Diabetes Treatment and Management
- Peroxisome Proliferator-Activated Receptors
- Obesity, Physical Activity, Diet
- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
Guangzhou Center for Disease Control and Prevention
2025
Beijing University of Chinese Medicine
2023-2024
Objective This study aims to evaluate factors linked the degree of disability among older adults and explore relationship between dietary inflammatory index (DII) in southern China. Methods Conducted two districts Guangzhou, China, this cross-sectional included 262 with mild-to-severe disabilities. Disability levels were assessed using “Assessment Standard for Long-term Care Disability” from Medical Insurance Bureau, including Activities Daily Living (ADL), Cognitive Ability, Sensory...
Background The cardiac-brain connection has been identified as the basis for multiple cardio-cerebral diseases. However, effective therapeutic targets these diseases are still limited. Therefore, this study aimed to identify pleiotropic and specific using Mendelian randomization (MR) colocalization analyses. Methods This included two large protein quantitative trait loci studies with over 4,000 plasma proteins were in discovery replication cohorts, respectively. We initially used MR estimate...
Background The genetic role of blood lipids (BL) in the shared etiology between major depressive disorder (MDD) and myocardial infarction (MI) has not been fully characterized. Methods We first evaluated associations causal inferences MDD, MI quantitative traits BL. To further unravel underlying mechanisms, we performed multi-trait association analysis to identify novel or pleiotropic genomic risk loci, variants for diseases involving Using multiple post-GWAS methods, explored potential...
Abstract Background The comprehensive exploration of genomic risk loci for heart failure (HF) remains constrained, and the genetic role blood lipids (BL), pressure (BP) glucose (BG) in HF has not been fully characterized. Methods We first assessed global local correlations between quantitative traits BL, BP, BG. then employed multi-trait association analysis colocalization to identify novel pleiotropic HF. Furthermore, we explored potential genes, pathways, tissues, cells associated with...