Results 181 to 190 of about 60,478 (247)
Mendelian randomization analysis of immune cell subsets and inflammatory cytokines in aplastic anaemia. [PDF]
Hu K +8 more
europepmc +1 more source
A schematic representation of the two‐sample Mendelian randomization framework used to investigate the causal association between circulating leukocyte traits and diabetic retinopathy. ABSTRACT Aims/Introduction Leukocytes are implicated in the inflammatory cascades of diabetic retinopathy (DR), but their causal roles remain ambiguous.
Yan Wang +7 more
wiley +1 more source
Association of tubular injury with lipid metabolism: A Mendelian randomization study. [PDF]
Zhao K, Qian L, Ma X.
europepmc +1 more source
Adiposity distribution and risks of twelve obesity-related cancers: a Mendelian randomization analysis [PDF]
Emma Hazelwood +20 more
openalex +1 more source
Our study suggests bidirectional causal associations between hypothyroidism and both coronary artery disease (CAD) and myocardial infarction (MI). Moreover, hypothyroidism contributes to an increased risk of peripheral atherosclerosis (PAS). ABSTRACT Background Whether hypothyroidism and cardiovascular disease (CVD) are causally related remains ...
Xuan Bai, Mengyi Sun, Xu Han
wiley +1 more source
Serum urate and pancreatitis: A bidirectional Mendelian randomization study. [PDF]
Li Y, Liu J, Zhao X.
europepmc +1 more source
The exposomal imprint on rosacea: More than skin deep
Rosacea reflects systemic and environmental interactions, not just a skin disorder. Key factors include environmental triggers, genetic and microbiome influences, diagnostic gaps in skin of colour and social determinants. Advances in multi‐omics and exposome integration highlight pathways towards precision medicine, prevention and equitable, patient ...
Katerina Grafanaki +3 more
wiley +1 more source
Exploring the genetic link between hypothyroidism and osteoporosis in patients without cancer: a two-sample Mendelian randomization analysis [PDF]
Hongfei Zhang +14 more
openalex +1 more source
Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation
ABSTRACT Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions.
Jiayi Fu +4 more
wiley +1 more source

