Genes Brain and Behavior最新文献

{"title":"Discovery and validation of genes driving drug-intake and related behavioral traits in mice","authors":"Tyler A. Roy,&nbsp;Jason A. Bubier,&nbsp;Price E. Dickson,&nbsp;Troy D. Wilcox,&nbsp;Juliet Ndukum,&nbsp;James W. Clark,&nbsp;Stacey J. Sukoff Rizzo,&nbsp;John C. Crabbe,&nbsp;James M. Denegre,&nbsp;Karen L. Svenson,&nbsp;Robert E. Braun,&nbsp;Vivek Kumar,&nbsp;Stephen A. Murray,&nbsp;Jacqueline K. White,&nbsp;Vivek M. Philip,&nbsp;Elissa J. Chesler","doi":"10.1111/gbb.12875","DOIUrl":"10.1111/gbb.12875","url":null,"abstract":"<p>Substance use disorders are heritable disorders characterized by compulsive drug use, the biological mechanisms for which remain largely unknown. Genetic correlations reveal that predisposing drug-naïve phenotypes, including anxiety, depression, novelty preference and sensation seeking, are predictive of drug-use phenotypes, thereby implicating shared genetic mechanisms. High-throughput behavioral screening in knockout (KO) mice allows efficient discovery of the function of genes. We used this strategy in two rounds of candidate prioritization in which we identified 33 drug-use candidate genes based upon predisposing drug-naïve phenotypes and ultimately validated the perturbation of 22 genes as causal drivers of substance intake. We selected 19/221 KO strains (8.5%) that had a difference from control on at least one drug-naïve predictive behavioral phenotype and determined that 15/19 (~80%) affected the consumption or preference for alcohol, methamphetamine or both. No mutant exhibited a difference in nicotine consumption or preference which was possibly confounded with saccharin. In the second round of prioritization, we employed a multivariate approach to identify outliers and performed validation using methamphetamine two-bottle choice and ethanol drinking-in-the-dark protocols. We identified 15/401 KO strains (3.7%, which included one gene from the first cohort) that differed most from controls for the predisposing phenotypes. 8 of 15 gene deletions (53%) affected intake or preference for alcohol, methamphetamine or both. Using multivariate and bioinformatic analyses, we observed multiple relations between predisposing behaviors and drug intake, revealing many distinct biobehavioral processes underlying these relationships. The set of mouse models identified in this study can be used to characterize these addiction-related processes further.</p>","PeriodicalId":50426,"journal":{"name":"Genes Brain and Behavior","volume":"23 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gbb.12875","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139075752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Referees","authors":"","doi":"10.1111/gbb.12878","DOIUrl":"10.1111/gbb.12878","url":null,"abstract":"<p>Alexander, Matthew.</p><p>Anokhin, Andrey.</p><p>Atkinson, Nigel.</p><p>Bachtell, Ryan.</p><p>Bajo, Michal.</p><p>Bales, Karen.</p><p>Barrot, Michel.</p><p>Bast, Tobias.</p><p>Beckstead, Michael.</p><p>Belleau, Emily.</p><p>Besheer, Joyce.</p><p>Biernacka, Joanna.</p><p>Blundell, Jacqueline.</p><p>Bordt, Evan.</p><p>Bosch, Oliver.</p><p>Brown, Richard.</p><p>Bryant, Camron.</p><p>Candlish, Michael.</p><p>Cavanaugh, Daniel.</p><p>Cheatwood, Joseph.</p><p>Chester, Julia.</p><p>Chowdhury, Budhaditya.</p><p>Clarke, Gerard.</p><p>Clayton, David.</p><p>Colwell, Christopher.</p><p>Cook, Melloni.</p><p>Couto, Antoine.</p><p>Cushing, Bruce.</p><p>De Fraga,</p><p>Deak, Joseph.</p><p>Diaz, Heijtz,</p><p>Dijkstra, Peter.</p><p>Ehlers, Cindy.</p><p>Fendt, Markus.</p><p>Ferguson, David.</p><p>Fuchsova, Beata.</p><p>Furtjes, Anna.</p><p>Geiger, Madeleine.</p><p>Geleoc, Gwenaelle.</p><p>Gizer, Ian.</p><p>Glover, Elizabeth.</p><p>Greeson, Ben.</p><p>Grinevich, Valery.</p><p>Gu, Bin.</p><p>Hammack, Sayamwong.</p><p>Hatoum, Alexander.</p><p>Hauber, Mark.</p><p>Hendricks, Audrey.</p><p>Hill, Shirley.</p><p>Hopf, Frederic.</p><p>Johnson, Emma.</p><p>Johnson, Michael.</p><p>Jurek, Benjamin.</p><p>Kenkel, William.</p><p>Kiraly, Drew.</p><p>Konopka, Genevieve.</p><p>Kopec, Ashley.</p><p>Kuhn, Donald.</p><p>Kumar, Vivek.</p><p>Larue, Lionel.</p><p>LaSarge, Candi.</p><p>Lipina, Tatiana.</p><p>Logan, Ryan.</p><p>Lopez, Sofia.</p><p>Lord, Kathryn.</p><p>Lucas, Guilherme.</p><p>Luciano, Michelle.</p><p>Lugo, Joaquin.</p><p>Mayfield, Roy.</p><p>McDermott, Brian.</p><p>Mello, Claudio.</p><p>Menon, Rohit.</p><p>Miller, Alex.</p><p>Miranda-Barrientos, Jorge.</p><p>Mosienko, Valentina.</p><p>Moy, Sherly.</p><p>Mulligan, Megan.</p><p>Murlanova, Kateryna.</p><p>Ozburn, Angela.</p><p>Pathak, Gita.</p><p>Patten, Shunmoogum.</p><p>Paul, Sarah.</p><p>Pawluski, Jodi.</p><p>Pignataro, Giuseppe.</p><p>Pletnikov, Mikhail.</p><p>Ploski, Jonathan.</p><p>Ponomarev, Igor.</p><p>Powell, Susan.</p><p>Pryce, Christopher.</p><p>Raber, Jacob.</p><p>Ragozzino, Michael.</p><p>Randall, Patrick.</p><p>Rasband, Matthew.</p><p>Redei, Eva.</p><p>Riley, Brien.</p><p>Roman, Gregg.</p><p>Schmidtner, Anna.</p><p>Schreihofer, Derek.</p><p>Serafini, Gianluca.</p><p>Sherva, Richard.</p><p>Siegel, Jessica.</p><p>Snyder, Brina.</p><p>Sokoloff, Greta.</p><p>Sorenson, Michael.</p><p>Stitzel, Jerry.</p><p>Tabakoff, Boris.</p><p>Terman, Jonathan.</p><p>Thomas, Nathaniel.</p><p>Thorogood, Rose.</p><p>Wall, Tamara.</p><p>Waterland, Robert.</p><p>Wedow, Robbee.</p><p>Willadsen, Maria.</p><p>Williams, Aislinn.</p><p>Wray, Naomi.</p><p>Yan, Hua.</p><p>Yoshino, Yuta.</p><p>Young, Andrew.</p>","PeriodicalId":50426,"journal":{"name":"Genes Brain and Behavior","volume":"22 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gbb.12878","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138822528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impaired reversal learning in the Dlg2+/− rat model of genetic risk for psychiatric disorder: Important questions regarding the neuro-behavioral mechanisms of reversal learning","authors":"Tobias Bast,&nbsp;Rachel Grasmeder Allen,&nbsp;Silvia Maggi,&nbsp;Jacco Renstrom","doi":"10.1111/gbb.12870","DOIUrl":"10.1111/gbb.12870","url":null,"abstract":"<p>In this issue, Griesius et al report that heterozygous Dlg2+/- rats showed a reversal learning impairment on a specific bowl-digging task, whereas other reversal tasks were unaffected. The study suggests that Dlg2 gene disruption, which has been linked to neuropsychiatric disorders, including schizophrenia, may cause relatively specific impairments in reversal learning, an important aspect of cognitive flexibility. The study draws attention to two important issues regarding the neuro-behavioral mechanisms of reversal learning, namely that hippocampal dysfunction, which is prominent in Dlg2+/- rats, may contribute to reversal learning impairments and that, depending on the task and previous experience, brain and behavioral mechanisms of reversal learning may differ.</p>","PeriodicalId":50426,"journal":{"name":"Genes Brain and Behavior","volume":"22 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gbb.12870","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138529427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The polygenic and reactive nature of observed parenting","authors":"Jana Runze,&nbsp;Marian J. Bakermans-Kranenburg,&nbsp;Charlotte A. M. Cecil,&nbsp;Marinus H. van IJzendoorn,&nbsp;Irene Pappa","doi":"10.1111/gbb.12874","DOIUrl":"10.1111/gbb.12874","url":null,"abstract":"<p>In Wertz et al. (2019), parents' polygenic scores of educational attainment (PGS-EA) predicted parental sensitive responses to the child's needs for support, as observed in a dyadic task (i.e., observed sensitivity). We aimed to replicate and expand these findings by combining longitudinal data, child genotype data and several polygenic scores in the Generation R Study. Mother–child dyads participated in two developmental periods, toddlerhood (14 months old; <i>n</i> = 648) and early childhood (3–4 years old, <i>n</i> = 613). Higher maternal PGS-EA scores predicted higher observed sensitivity in toddlerhood (<i>b</i> = 0.12, 95% CI 0.03, 0.20) and early childhood (<i>b</i> = 0.16, 95% CI 0.08, 0.24). Child PGS-EA was significantly associated with maternal sensitivity in early childhood (<i>b</i> = 0.11, 95% CI 0.02, 0.21), and the effect of maternal PGS-EA was no longer significant when correcting for child PGS-EA. A latent factor of PGSs based on educational attainment, intelligence (IQ) and income showed similar results. These polygenic scores might be associated with maternal cognitive and behavioral skills that help shape parenting. Maternal PGSs predicted observed sensitivity over and above the maternal phenotypes, showing an additional role for PGSs in parenting research. In conclusion, we replicated the central finding of Wertz et al. (2019) that parental PGS-EA partially explains parental sensitivity. Our findings may be consistent with evocative gene–environment correlation (rGE), emphasizing the dynamic nature of parenting behavior across time, although further research using family trios is needed to adequately test this hypothesis.</p>","PeriodicalId":50426,"journal":{"name":"Genes Brain and Behavior","volume":"22 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gbb.12874","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138452977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PAC1 receptor modulation of freezing and flight behavior in periaqueductal gray","authors":"Ersin Yavas,&nbsp;Irina Zhuravka,&nbsp;Michael S. Fanselow","doi":"10.1111/gbb.12873","DOIUrl":"10.1111/gbb.12873","url":null,"abstract":"<p>The midbrain periaqueductal gray (PAG) region is a critical anatomical regulator of fear-related species-specific defensive reactions (SSDRs). Pituitary adenylate-cyclase-activating polypeptide (PACAP), and its main receptor PAC1, play an important role in fear-related behavior and anxiety disorders. However, the function of the PACAP-PAC1 system within the PAG with regards to SSDRs has received little attention. To address this gap, we used transgenic PAC1^flox/flox mice to examine both conditional and unconditional defensive reactions. We performed conditional PAC1 gene deletion within the ventrolateral(vl)PAG of PAC1^flox/flox mice using an adeno-associated virus (AAV) coding for Cre recombinase. Following viral expression, we used a white noise fear conditioning preparation that produces both an unconditional activity burst to the onset of noise that is followed by conditional freezing. On Day 1, mice received five white noise foot-shock pairings, whereas on Day 2, they were exposed to white noise five times without shock and we scored the activity burst and freezing to the white noise. Following behavioral testing, histology for immunofluorescent analysis was conducted in order to identify PACAP positive cells and stress-induced <i>c-fos</i> activity respectively. We found that PAC1 deletion in vlPAG increased the unconditional activity burst response but disrupted conditional freezing. PAC1 deletion was accompanied by higher <i>c-fos</i> activity following the behavioral experiments. Furthermore, a significant portion of PACAP-EGFP positive cells showed overlapping expression with VGAT, indicating their association with inhibitory neurons. The findings suggested that intact PACAP-PAC1 mechanisms are essential for SSDRs in vlPAG. Therefore, midbrain PACAP contributes to the underlying molecular mechanisms regulating fear responses.</p>","PeriodicalId":50426,"journal":{"name":"Genes Brain and Behavior","volume":"22 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gbb.12873","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138177704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of polygenic scores for depression and neuroticism with perceived stress in daily life during a long-lasting stress period","authors":"Hannah L. Peter,&nbsp;Marina Giglberger,&nbsp;Fabian Streit,&nbsp;Josef Frank,&nbsp;Ludwig Kreuzpointner,&nbsp;Marcella Rietschel,&nbsp;Brigitte M. Kudielka,&nbsp;Stefan Wüst","doi":"10.1111/gbb.12872","DOIUrl":"10.1111/gbb.12872","url":null,"abstract":"<p>Genetic factors contribute significantly to interindividual differences in the susceptibility to stress-related disorders. As stress can also be conceptualized as environmental exposure, controlled gene–environment interaction (GxE) studies with an in-depth phenotyping may help to unravel mechanisms underlying the interplay between genetic factors and stress. In a prospective-longitudinal quasi-experimental study, we investigated whether polygenic scores (PGS) for depression (DEP-PGS) and neuroticism (NEU-PGS), respectively, were associated with responses to chronic stress in daily life. We examined law students (<i>n</i> = 432) over 13 months. Participants in the stress group experienced a long-lasting stress phase, namely the preparation for the first state examination for law students. The control group consisted of law students without particular stress exposure. In the present manuscript, we analyzed perceived stress levels assessed at high frequency and in an ecologically valid manner by ambulatory assessments as well as depression symptoms and two parameters of the cortisol awakening response. The latter was only assessed in a subsample (<i>n</i> = 196). No associations between the DEP-PGS and stress-related variables were found. However, for the NEU-PGS we found a significant GxE effect. Only in individuals experiencing academic stress a higher PGS for neuroticism predicted stronger increases of perceived stress levels until the exam. At baseline, a higher NEU-PGS was associated with higher perceived stress levels in both groups. Despite the small sample size, we provide preliminary evidence that the genetic disposition for neuroticism is associated with stress level increases in daily life during a long-lasting stress period.</p>","PeriodicalId":50426,"journal":{"name":"Genes Brain and Behavior","volume":"22 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gbb.12872","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50159176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nature and nurture: Comparing mouse behavior in classic versus revised anxiety-like and social behavioral assays in genetically or environmentally defined groups","authors":"Janet Ronquillo,&nbsp;Michael T. Nguyen,&nbsp;Linnea Y. Rothi,&nbsp;Trung-Dan Bui-Tu,&nbsp;Jocelyn Yang,&nbsp;Lindsay R. Halladay","doi":"10.1111/gbb.12869","DOIUrl":"10.1111/gbb.12869","url":null,"abstract":"<p>Widely used rodent anxiety assays like the elevated plus maze (EPM) and the open field test (OFT) are conflated with rodents' natural preference for dark over light environments or protected over open spaces. The EPM and OFT have been used for decades but are often criticized by behavioral scientists. Years ago, two revised anxiety assays were designed to improve upon the “classic” tests by excluding the possibility to avoid or escape aversion. The 3-D radial arm maze (3DR) and the 3-D open field test (3Doft) utilize continual motivational conflict to better model anxiety; each consist of an open space connected to ambiguous paths toward uncertain escape. Despite their utility, the revised assays have not caught on. This could be because no study yet has directly compared classic and revised assays in the same animals. To remedy this, we contrasted behavior from a battery of assays (EPM, OFT, 3DR, 3Doft and a sociability test) in mice defined genetically by isogenic strain, or environmentally by postnatal experience. One major motivation for this work is to inform future studies by offering a transparent look at individual outcomes on these assays, as there is no one-size-fits-all test to assess rodent anxiety-like behavior. Findings suggest that classic assays may sufficiently characterize differences across genetically defined groups, but the revised 3DR may be advantageous for investigating more nuanced behavioral differences such as those stemming from environmental factors. Finally, exposure to multiple assays significantly affected sociability, highlighting concerns for designing and interpreting batteries of rodent behavioral tests.</p>","PeriodicalId":50426,"journal":{"name":"Genes Brain and Behavior","volume":"22 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gbb.12869","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49693514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Extracellular vesicles from cerebrospinal fluid revealed changes in miR-19a-3p and miR-4516 expression in Slovene male suicides","authors":"Iris Šalamon Arčan,&nbsp;Mojca Katrašnik,&nbsp;Katarina Kouter,&nbsp;Tomaž Zupanc,&nbsp;Alja Videtič Paska","doi":"10.1111/gbb.12868","DOIUrl":"10.1111/gbb.12868","url":null,"abstract":"<p>Suicide is an important public-health concern, with more than 700,000 people dying by suicide yearly. It is a multifactorial phenomenon, shaped by the effects of sociodemographic, environmental and biological factors. The latter two factors can be linked through epigenetic studies, which examine differences in gene expression that are not due to changes in the DNA sequence itself. Epigenetic mechanisms include micro RNAs (miRNAs), which have a direct effect on already translated mRNA, leading to either decay or translational repression of the target mRNA. MiRNA molecules have been identified as cargo of extracellular vesicles (EVs) used by cells for long-distance communication, and pathophysiological changes in miRNA in brain cells may be reflected in cerebrospinal fluid (CSF) vesicles. In this study we investigated the presence and differential expression of selected miRNAs in EVs from the CSF of male suicide completers and controls. Western blot and nanoparticle tracking analyses confirmed the presence of small and medium sized EVs. Of the miRNA analyzed (miR-16-5p, miR-19a-3p, miR-34c-5p, miR-17-5p, miR-4286, miR-26b-5p, miR-381-3p, and miR-4516) miR-19a-3p and miR-4516 reached statistical significance with <i>p</i>-values of 0.0408 and 0.0168, respectively. Mir-4516 and miRNA-19a-3p have been previously studied in suicide, and target <i>SLC6A4</i> and <i>TNF-α</i> expression, correspondingly. Approximately 70% of known miRNAs are expressed in the central nervous system, and therefore represent an important biomarker potential. Investigating the cargo of CFS and blood EVs would further support the identification of miRNAs with clinical use potential.</p>","PeriodicalId":50426,"journal":{"name":"Genes Brain and Behavior","volume":"22 6","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gbb.12868","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41123089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Collaborative Study on the Genetics of Alcoholism: Overview","authors":"Arpana Agrawal,&nbsp;Sarah J. Brislin,&nbsp;Kathleen K. Bucholz,&nbsp;Danielle Dick,&nbsp;Ronald P. Hart,&nbsp;Emma C. Johnson,&nbsp;Jacquelyn Meyers,&nbsp;Jessica Salvatore,&nbsp;Paul Slesinger,&nbsp;COGA Collaborators,&nbsp;Laura Almasy,&nbsp;Tatiana Foroud,&nbsp;Alison Goate,&nbsp;Victor Hesselbrock,&nbsp;John Kramer,&nbsp;Samuel Kuperman,&nbsp;Alison K. Merikangas,&nbsp;John I. Nurnberger,&nbsp;Jay Tischfield,&nbsp;Howard J. Edenberg,&nbsp;Bernice Porjesz","doi":"10.1111/gbb.12864","DOIUrl":"10.1111/gbb.12864","url":null,"abstract":"<p>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.</p>","PeriodicalId":50426,"journal":{"name":"Genes Brain and Behavior","volume":"22 5","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/52/f4/GBB-22-e12864.PMC10550790.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41164915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Collaborative study on the genetics of alcoholism: The strength of collaboration, team science, and longitudinal data","authors":"Marissa A. Ehringer","doi":"10.1111/gbb.12866","DOIUrl":"10.1111/gbb.12866","url":null,"abstract":"<p>This issue contains a series of articles describing the various resources, studies, results, and future directions for the collaborative study on the genetics of alcoholism (COGA). The collaborative and integrative approach initiated by this group ~30 years ago serves as an excellent example of the strength of team science. Individually, various aspects of COGA would be limited in their impact toward improved understanding of alcohol use disorder. Collectively, their wholistic approach which spans deep longitudinal phenotypic assessments in families to include the application of large-scale omics technologies and cell-culture based molecular studies has demonstrated the power of working together.</p>","PeriodicalId":50426,"journal":{"name":"Genes Brain and Behavior","volume":"22 5","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/gbb.12866","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41162739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}