Alcohol use disorders (AUD) are commonly occurring, heritable and polygenic disorders with etiological origins in the brain and the environment. To outline the causes and consequences of alcohol-related milestones, including AUD, and their related psychiatric comorbidities, the Collaborative Study on the Genetics of Alcoholism (COGA) was launched in 1989 with a gene-brain-behavior framework. COGA is a family based, diverse (~25% self-identified African American, ~52% female) sample, including data on 17,878 individuals, ages 7-97 years, in 2246 families of which a proportion are densely affected for AUD. All participants responded to questionnaires (e.g., personality) and the Semi-Structured Assessment for the Genetics of Alcoholism (SSAGA) which gathers information on psychiatric diagnoses, conditions and related behaviors (e.g., parental monitoring). In addition, 9871 individuals have brain function data from electroencephalogram (EEG) recordings while 12,009 individuals have been genotyped on genome-wide association study (GWAS) arrays. A series of functional genomics studies examine the specific cellular and molecular mechanisms underlying AUD. This overview provides the framework for the development of COGA as a scientific resource in the past three decades, with individual reviews providing in-depth descriptions of data on and discoveries from behavioral and clinical, brain function, genetic and functional genomics data. The value of COGA also resides in its data sharing policies, its efforts to communicate scientific findings to the broader community via a project website and its potential to nurture early career investigators and to generate independent research that has broadened the impact of gene-brain-behavior research into AUD.
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http://dx.doi.org/10.1111/gbb.12864 | DOI Listing |
Objectives: To identify cuproptosis- and ferroptosis-related genes involved in nonalcoholic fatty liver disease and to determine the diagnostic value of hub genes.
Methods: The gene expression dataset GSE89632 was retrieved from the Gene Expression Omnibus database to identify differentially expressed genes (DEGs) between the non-alcoholic steatohepatitis (NASH) group and the healthy group using the 'limma' package in R software and weighted gene co-expression network analysis. Gene ontology, kyoto encyclopedia of genes and genomes pathway, and single-sample gene set enrichment analyses were performed to identify functional enrichment of DEGs.
PLoS One
January 2025
Department of Anesthesiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, PR China.
Background: Hip osteoarthritis has been identified as a potential risk factor for stroke, with previous studies have demonstrated an association between hip osteoarthritis and stroke. This study aims to further elucidate the causal relationship between the two, employing Two-Sample and Multivariable Mendelian randomization methods.
Methods: SNPs, derived from two extensive GWAS, served as instruments in exploring the association between genetically predicted hip osteoarthritis and stroke risk, utilizing two-sample Mendelian randomization.
JAMA Netw Open
December 2024
Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis.
Importance: Identification of individuals at high risk of alcohol use disorder (AUD) and subsequent application of prevention and intervention programs has been reported to decrease the incidence of AUD. The polygenic score (PGS), which measures an individual's genetic liability to a disease, can potentially be used to evaluate AUD risk.
Objective: To assess the estimability and generalizability of the PGS, compared with family history and ADH1B, in evaluating the risk of AUD among populations of European ancestry.
Food Res Int
January 2025
School of Food and Biological Engineering, Hefei University of Technology, No.193 Tunxi Road, Hefei city 230009, Anhui province, PR China. Electronic address:
The unique process of "Multiple-qu fermentation" (MF) is essential for the formation of the Jian-flavor Baijiu, but the mechanisms behind its aroma development remain not fully understood. This study compared the effects of "Single-qu fermentation"(SF) and MF on Baijiu production to elucidate the microbial and metabolic interactions responsible for its distinct aroma. Firstly, significant differences were observed in the microbial communities of the two types of Daqu.
View Article and Find Full Text PDFFood Res Int
January 2025
College of Bioengineering, Tianjin University of Science and Technology, Thirteenth Street, Binhai New District, Tianjin 300457, China; Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Thirteenth Street, Binhai New District, Tianjin 300457, China; Liquor Making Biological Technology and Application of Key Laboratory of Sichuan Province, Sichuan, China. Electronic address:
N-propanol is one of the higher alcohols, a moderate amount of n-propanol is beneficial for the harmony of the liquor body, whereas excessive or repeated intake will lead to discomfort and pose significant harm to human health. In actual production process of Jiangxiangxing Baijiu, the n-propanol content of the base baijiu in first round (FR) is far higher than that of second round (SR). Nevertheless, the formation mechanism and the key n-propanol producing microbials remain unclear and this limits the quality control of baijiu fermentation.
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