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http://dx.doi.org/10.1016/j.jacbts.2023.10.005 | DOI Listing |
JACC Adv
January 2025
Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Background: Little is known about the associations between choline metabolites (total choline, phosphatidylcholine, and glycine) and the incidence of heart failure (HF).
Objectives: The purpose of this study was to assess the associations of choline metabolites with incident HF and examine the effect modification by genetic susceptibility.
Methods: This prospective cohort study followed 245,072 participants from the UK Biobank from baseline (2006-2010) until March 30, 2023.
Zhong Nan Da Xue Xue Bao Yi Xue Ban
August 2024
Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha 410008.
Objectives: Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder. Prior research suggests that genetic susceptibility and environmental exposures, such as maternal preeclampsia (PE) during pregnancy, play key roles in ASD pathogenesis. However, the specific effects of the interaction between genetic and environmental factors on ASD phenotype severity remain unclear.
View Article and Find Full Text PDFCureus
December 2024
Information Technology, Gandhinagar University, Moti Bhoyan, IND.
Alzheimer's disease (AD) and other neurodegenerative illnesses place a heavy strain on the world's healthcare systems, particularly among the aging population. With a focus on research from January 2022 to September 2023, this scoping review, which adheres to Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews (PRISMA-Scr) criteria, examines the changing landscape of artificial intelligence (AI) applications for early AD detection and diagnosis. Forty-four carefully chosen articles were selected from a pool of 2,966 articles for the qualitative synthesis.
View Article and Find Full Text PDFPLoS Genet
January 2025
Center for Human Genetics, Clemson University, Greenwood, South Carolina, United States of America.
Polygenic prediction of complex trait phenotypes has become important in human genetics, especially in the context of precision medicine. Recently, mr.mash, a flexible and computationally efficient method that models multiple phenotypes jointly and leverages sharing of effects across such phenotypes to improve prediction accuracy, was introduced.
View Article and Find Full Text PDFElife
January 2025
Department of Genetics and Genomic Sciences, Icahn School of Medicine, Mount Sinai, New York, United States.
The use of siblings to infer the factors influencing complex traits has been a cornerstone of quantitative genetics. Here, we utilise siblings for a novel application: the inference of genetic architecture, specifically that relating to individuals with extreme trait values (e.g.
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