Purpose: We investigated whether tryptophan hydroxylase 2 (TPH2) gene polymorphisms were involved in the aggravation of migraines due to the overuse of medication.
Methods: Forty-seven migraine patients (6 males and 41 females; 36.4 10.3 years) and 22 MOH patients (1 male and 21 females; 39.6 9.9 years) who had migraines participated in this study. The genotypes for the TPH2 gene polymorphisms (rs4565946, rs4570625, and rs4341581) were analyzed by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) methods.
Results: The rs4565946, rs4570625, and rs4341581 genotypes were similarly distributed between migraine patients and MOH patients.
Conclusion: The results of this study showed no association between tryptophan TPH2 gene polymorphisms and the complication of MOH in patients with migraines.
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Hepatology
January 2025
Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.
Background Aims: Metabolic dysfunction-associated steatotic liver disease (MASLD) affects about a third of adults worldwide and is projected soon to be the leading cause of cirrhosis. It occurs when fat accumulates in hepatocytes and can progress to metabolic dysfunction-associated steatohepatitis (MASH), liver cirrhosis, and hepatocellular carcinoma. MASLD pathogenesis is believed to involve a combination of genetic and environmental risk factors.
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November 2024
Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
This study aimed to investigate the genetic association between glioblastoma (GBM) and unsupervised deep learning-derived imaging phenotypes (UDIPs). We employed a combination of genome-wide association study (GWAS) data, single-nucleus RNA sequencing (snRNA-seq), and scPagwas (pathway-based polygenic regression framework) methods to explore the genetic links between UDIPs and GBM. Two-sample Mendelian randomization analyses were conducted to identify causal relationships between UDIPs and GBM.
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November 2024
Department of Biology, University of Padova, Via U.Bassi 58/ B, 35131, Italy.
Shallow whole-genome sequencing (sWGS) offers a cost-effective approach to detect copy number alterations (CNAs). However, there remains a gap for a standardized workflow specifically designed for sWGS analysis. To address this need, in this work we present SAMURAI, a bioinformatics pipeline specifically designed for analyzing CNAs from sWGS data in a standardized and reproducible manner.
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January 2025
Department of Psychiatry, University of California San Diego, La Jolla, CA, United States of America.
Background: Bipolar Disorder (BD) is a complex disease. It is heterogeneous, both at the phenotypic and genetic level, although the extent and impact of this heterogeneity is not fully understood. One way to assess this heterogeneity is to look for patterns in the subphenotype data.
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January 2025
Department of Entomology and Acarology, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba, São Paulo, Brazil.
Insecticide resistance is a major problem in food production, environmental sustainability, and human health. The cotton bollworm Helicoverpa armigera is a globally distributed crop pest affecting over 300 crop species. H.
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