We describe the development of the Genotype and Phenotype (GaP) Registry, a living biobank of normal volunteers who are genotyped for genetic markers related to human disease. Participants in the GaP can be recalled for hypothesis driven study of disease associated genetic variants. The GaP has facilitated functional studies of several autoimmune disease associated loci including Csk, Blk, PDRM1 (Blimp-1) and PTPN22. It is likely that expansion of such living biobank registries will play an important role in studying and understanding the function of disease associated alleles in complex disease.
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http://dx.doi.org/10.1007/s12026-015-8711-8 | DOI Listing |
Ecol Lett
January 2025
Department of Cellular and Molecular Biology, Harvard University, Cambridge, Massachusetts, USA.
Climate change is intensifying extreme weather events, with severe implications for ecosystem dynamics. A key behavioural mechanism whereby animals may cope with such events is by altering their social structure, which in turn could influence epidemic risk. However, how and to what extent natural disasters affect disease risk via changes in sociality remains unexplored in animal populations.
View Article and Find Full Text PDFEnviron Res
December 2024
Lise Meitner Group for Environmental Neuroscience, Max Planck Institute for Human Development, Berlin, Germany; University Medical Center Hamburg-Eppendorf, Clinic and Policlinic for Psychiatry and Psychotherapy, Hamburg, Germany; Max Planck-UCL Center for Computational Psychiatry and Ageing Research. Electronic address:
It is by now well known that the environment has a major impact on people's life, but the neural structures involved in this relationship remain to be explored. Most studies investigating this relationship only focus on single environmental predictors. In order to understand how the multitude of factors constituting the living environment relate to brain structure we used data from the UK Biobank (n= 21,094; age Mean=63.
View Article and Find Full Text PDFEBioMedicine
December 2024
Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands.
Background: Coronary artery disease (CAD) comprises one of the leading causes of morbidity and mortality both in the European population and globally. All established clinical risk stratification scores and models require blood lipids and physical measurements. The latest reports of the European Commission suggest that attracting health professionals to collect these data can be challenging, both from a logistic and cost perspective, which limits the usefulness of established models and makes them unsuitable for population-wide screening in resource-limited settings, i.
View Article and Find Full Text PDFArterioscler Thromb Vasc Biol
December 2024
Division of Nephrology and State Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Nanfang Hospital, Southern Medical University, Guangzhou, China. Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, China.
Background: To explore the association of social isolation with venous thromboembolism (VTE) risk and the mediating role of metabolomics on this association.
Methods: Overall, 236 026 participants free of VTE and with complete metabolomics data at baseline from the UK Biobank were included. Social isolation was constructed based on the frequency of friend/family visits, weekly group activities, and living alone.
Lancet Psychiatry
December 2024
Background: High-quality estimates of the epidemiology of the autism spectrum and the health needs of autistic people are necessary for service planners and resource allocators. Here we present the global prevalence and health burden of autism spectrum disorder from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 following improvements to the epidemiological data and burden estimation methods.
Methods: For GBD 2021, a systematic literature review involving searches in PubMed, Embase, PsycINFO, the Global Health Data Exchange, and consultation with experts identified data on the epidemiology of autism spectrum disorder.
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