Human genome-wide association studies (GWAS) of longevity attempt to identify alleles at different frequencies in the extremely old, relative to a younger control sample. Here, we apply a GWAS approach to "synthetic" populations of Drosophila melanogaster derived from a small number of inbred founders. We used next-generation DNA sequencing to estimate allele and haplotype frequencies in the oldest surviving individuals of an age cohort and compared these frequencies with those of randomly sampled individuals from the same cohort. We used this case-control strategy in four independent cohorts and identified eight significantly differentiated regions of the genome potentially harboring genes with relevance for longevity. By modeling the effects of local haplotypes, we have more power to detect regions enriched for longevity genes than marker-based GWAS. Most significant regions occur near chromosome ends or centromeres where recombination is infrequent, consistent with these regions harboring unconditionally deleterious alleles impacting longevity. Genes in regions of normal recombination are enriched for those relevant to immune function and a gene family involved in oxidative stress response. Genetic differentiation between our experimental cohorts is comparable to that between human populations, suggesting in turn that our results may help explain heterogeneous signals in human association studies of extreme longevity when panels have diverse ancestry.
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http://dx.doi.org/10.1093/gbe/evt180 | DOI Listing |
J Neurophysiol
January 2025
Department of Anesthesiology, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
Despite a significant genetic component to insomnia (heritability: 22-25%), the genetic loci that modulate insomnia risk remain limited. We employed the Unified Test for Molecular Markers (UTMOST) for transcriptome-wide association studies (TWAS) across various tissues, integrating summary statistics from a Genome-Wide Association Study (GWAS) of 462,341 European participants with gene expression data from the Genotype-Tissue Expression (GTEx) project. Three validation methods (FUSION, FOCUS, and MAGMA) were used to confirm important genes.
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December 2024
Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Vaginitis is the most common problem afflicting women of childbearing age. However, the underlying etiological factors remain poorly understood, leading to recurrent vaginitis and constraining clinical management. Here, we explored whether the gut microbiota influences the risk of vaginitis by performing a two-sample Mendelian randomization analysis using the largest genome-wide association studies to date.
View Article and Find Full Text PDFFood Funct
January 2025
School of Public Health, Zhejiang Chinese Medical University, Hangzhou, China.
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View Article and Find Full Text PDFNutr Cancer
January 2025
Department of Medical Oncology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
Background: Ovarian cancer is a lethal female cancer with a rising incidence that is often diagnosed late due to a lack of symptoms, affecting survival and quality of life. Studies suggest that dietary factors, especially the levels of branched-chain amino acids such as valine, may influence its development. While valine is essential for metabolism, its specific role in ovarian cancer remains unclear, necessitating further research.
View Article and Find Full Text PDFAm J Med Genet B Neuropsychiatr Genet
January 2025
Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Externalizing traits and behaviors are broadly defined by impairments in self-regulation and impulse control that typically begin in childhood and adolescence. Externalizing behaviors, traits, and symptoms span a range of traditional psychiatric diagnostic categories. In this study, we sought to generate an algorithm that could reliably identify transdiagnostic childhood-onset externalizing cases and controls within a university hospital electronic health record (EHR) database.
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