Results 191 to 200 of about 50,540 (257)

Genetic Evidence for a Putative B Cell-Cholate Immunometabolic Axis in Pericarditis: A Mendelian Randomization Study. [PDF]

Biomedicines
Zhang Y, Yang W, Li X.
europepmc   +1 more source

Field‑Based Dissection of Stomatal Anatomy and Conductance Reveals Stable QTL Under Drought and Heat in Wheat

Plant, Cell &Environment, EarlyView.
ABSTRACT Stomatal traits balance carbon gain with water loss, yet their breeding potential in wheat remains underexploited. This study investigated physiological and anatomical stomatal responses across 2 years of large‐scale field trials under water‐limitation and warming treatments. Across both seasons, stomatal conductance (gs) declined under stress,
Chaplin Edward, Tanaka Emi, Merchant Andrew, Sznajder Beata, Trethowan Richard, Salter William   +5 more
wiley   +1 more source

Editorial: Establishing Genetic Pleiotropy to Identify Common Pharmacological Agents for Common Diseases

Frontiers in Pharmacology, 2019
Tracy A. O’Mara, Jyotsna Batra, Dylan Glubb   +2 more
doaj   +1 more source

Mendelian randomization analysis of the causal relationship between allergic rhinitis and depression and underlying mediation mechanisms. [PDF]

World Allergy Organ J
Zhang S, Wang R, Weng J, Li M, Shi M, Wei J, Ye L, Huang X, Huang W, Qu S.   +9 more
europepmc   +1 more source

Periodontitis and metabolic dysfunction‐associated steatotic liver disease

Periodontology 2000, EarlyView.
Abstract Objective Periodontitis is a chronic inflammatory disease with systemic effects that extend beyond the oral cavity and contribute to systemic immune and metabolic dysregulation. Chronic liver diseases, particularly metabolic dysfunction‐associated steatotic liver disease (MASLD) and its progressive phenotypes, have emerged as major global ...
Rafael Scaf de Molon, Erica Dorigatti de Avila, Davi da Silva Barbirato, Mariana Fampa Fogacci, Jamil Awad Shibli, Anton Sculean, Alpdogan Kantarci   +6 more
wiley   +1 more source

Large-scale pleiotropic analysis across cancers reveals shared genetic mechanisms and identifies novel functional genes. [PDF]

Brief Bioinform
Wu X, Yan Y, Cao W, Wu T, He J, Wang D, Gong J, Niu X.   +7 more
europepmc   +1 more source

Consistent and idiosyncratic pleiotropy in shaping genetic correlations. [PDF]

Mol Biol Evol
Cai H, Geiler-Samerotte K, Des Marais DL.   +2 more
europepmc   +1 more source

Multi‐Trait GWAS Analyses of Blood Pressure Traits Provide Limited Gains in Locus Discovery or Polygenic Risk Score Performance Compared to Single‐Trait GWAS

Genetic Epidemiology, Volume 50, Issue 8, December 2026.
ABSTRACT High blood pressure (BP) represents a major cause of life‐threatening cardiovascular conditions. GWAS have identified >2000 BP‐associated signals. BP‐GWAS usually analyze each BP trait individually. However, multi‐trait GWAS may yield novel loci and improve polygenic risk scores (PRS) prediction. We explored whether multi‐trait BP‐GWAS can: (i)
Yujia Ma, Anna D. Argoty‐Pantoja, Tian Xie, Michael R. Barnes, Patricia B. Munroe, Claudia P. Cabrera, Harold Snieder, Helen R. Warren, UMCG Genetics Lifelines Initiative (UGLI) group author: LifeLines Cohort Study, Raul Aguirre‐Gamboa, Patrick Deelen, Lude Franke, Jan A. Kuivenhoven, Esteban A. Lopera Maya, Ilja M. Nolte, Serena Sanna, Harold Snieder, Morris A. Swertz, Peter M. Visscher, Judith M. Vonk, Cisca Wijmenga, Naomi Wray   +21 more
wiley   +1 more source

Genetically predicted dietary diversity protects against renal failure while extreme carbohydrate restriction increases the risk in a Mendelian randomization study. [PDF]

Medicine (Baltimore)
Liang T, Zhang F, Yang F.
europepmc   +1 more source

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

International Journal of Cancer, Volume 159, Issue 11, Page 2705-2719, 1 December 2026.
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