European Neuropsychopharmacology最新文献

{"title":"INNATE AND ADAPTIVE IMMUNITY IN PSYCHIATRY: INSIGHTS FROM GENETIC ASSOCIATION STUDIES AND PERIPHERAL BLOOD IMMUNOPHENOTYPING","authors":"","doi":"10.1016/j.euroneuro.2024.08.027","DOIUrl":"10.1016/j.euroneuro.2024.08.027","url":null,"abstract":"","PeriodicalId":12049,"journal":{"name":"European Neuropsychopharmacology","volume":"87 ","pages":"Page 9"},"PeriodicalIF":6.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142441634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CURRENT CHALLENGES AND OPPORTUNITIES IN DATA-DRIVEN APPROACHES IN NEUROPSYCHIATRIC DISORDERS","authors":"Chunyu Liu (Chair) , Zhongming Zhao (Co-chair) , Eric Gamazon (Discussant)","doi":"10.1016/j.euroneuro.2024.08.053","DOIUrl":"10.1016/j.euroneuro.2024.08.053","url":null,"abstract":"<div><div>As the technological landscape evolves, neuropsychiatric research increasingly relies on data-driven methodologies to uncover the mysteries of the human brain malfunction and genetic risk in neuropsychiatric disorders. This symposium brings together experts and stakeholders for a focused dialogue on the pressing challenges and innovative solutions within this rapidly progressing domain. Through a series of thought-provoking presentations, we will delve into the nuances of data integration, the intricacies of handling big data, and the critical aspects of ensuring research reproducibility and clinical applicability.</div><div>Dr. Chunyu Liu from the State University of New York (SUNY) Upstate Medical University will present a compelling discussion on the paramount importance of quality control in single-cell RNA-seq data. His presentation will underscore the necessity of stringent data evaluation and filtering protocols to bolster the precision of genomic analyses. The talk will provide participants with a solid foundation on the principles of data quality, which is pivotal for the reproducibility and credibility of research findings.</div><div>Dr. Zhongming Zhao from the University of Texas Health Science Center at Houston (UTHealth Houston) will present an in-depth exploration of cutting-edge machine-learning algorithms for the integration of omics, genetic, neuroimaging, and phenotypic data. His session will be centered on the elucidation of Alzheimer's Disease's molecular mechanisms and the identification of potential therapeutic targets. This presentation will demonstrate the transformative power of data analytics in shaping the future of neuropsychiatric therapeutics.</div><div>Dr. Peter Kochunov from the UTHealth Houston, will tackle the multifaceted challenges of data integration, scalability, and reproducibility within the scope of large-scale population imaging genetic studies. His expertise will offer a strategic guide for navigating the complexities of big data, ensuring the robustness of research outcomes, and bridging the gap between scientific discoveries and their clinical translation.</div><div>Dr. Xing-Ming Zhao from Fudan University will conclude the symposium with an insightful examination of the challenges and strategies related to data integration in psychiatric disorder research. His work will emphasize the significance of synthesizing diverse data streams, such as clinical assessments, neuroimaging, and genetic information, to achieve a comprehensive view of neuropsychiatric conditions. This session will highlight the potential of integrated data approaches to surmount the obstacles faced in the field.</div><div>Dr. Eric Gamazon from Vanderbilt University will serve as the discussant to summarize the talks and offer his own insight into harnessing large biobank data of diverse ancestries.</div><div>The symposium will weave these presentations into a coherent narrative, progressively building upon each topic to pro","PeriodicalId":12049,"journal":{"name":"European Neuropsychopharmacology","volume":"87 ","pages":"Pages 20-21"},"PeriodicalIF":6.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MULTI-ANCESTRY FINE-MAPPING REFINES BIPOLAR DISORDER RISK GENES","authors":"Maria Koromina ,&nbsp;Kai Yuan ,&nbsp;Sanan Venkatesh ,&nbsp;Kevin S. O'Connell ,&nbsp;Friederike David ,&nbsp;Psychiatric Genomics Consortium Bipolar Disorder Working Group ,&nbsp;Jonathan Coleman ,&nbsp;Georgios Voloudakis ,&nbsp;Panos Roussos ,&nbsp;Niamh Mullins","doi":"10.1016/j.euroneuro.2024.08.035","DOIUrl":"10.1016/j.euroneuro.2024.08.035","url":null,"abstract":"<div><div>Genome wide association studies (GWAS) have identified hundreds of loci contributing to bipolar disorder (BD) risk. However, translating genome-wide significant (GWS) loci into causal genes and mechanisms for BD is challenging due to linkage disequilibrium (LD) between risk variants, and incomplete understanding of the non-coding regulatory mechanisms in the brain. Recently, the Psychiatric Genomics Consortium Bipolar Disorder Working Group has performed GWAS meta-analyses of BD in cohorts of European (N cases = 131,969), East Asian (N cases = 5,969), African American (N cases = 7,076) and Latino (N cases = 13,022) ancestries, as well as a multi-ancestry meta-analysis (Total N = 158,036 cases, N= 2,796,499 controls) by including datasets with different ascertainment strategies. These analyses led to the identification of 298 GWS risk loci for BD, further emphasizing the need to identify the true causal variants and elucidate their biological mechanisms at the cellular level.</div><div>Here, we implemented SuSiEx, a statistical fine-mapping method leveraging differences in the LD architecture among different genetic ancestries, to prioritize likely causal SNPs, within these 298 GWS risk loci for BD. Then, we mapped these SNPs to their relevant gene(s), and investigated their likely functional consequences by aggregating multiple lines of evidence: (i) integration of variant annotation and brain cell-type epigenomic data (PLAC-seq data), (ii) implementation of Summary data-based Mendelian Randomization (SMR) to functionally interpret the likely causal SNPs in the context of brain bulk tissue quantitative trait loci (QTLs) (expression, splicing and methylation QTLs), and (iii) refining the cell-type specific context of likely causal SNPs via SMR, by leveraging a novel (unpublished) resource of brain single nuclei eQTLs.</div><div>Our comprehensive fine-mapping analysis prioritized 113 likely causal SNPs, from 298 GWS loci for BD using LD estimates from all 4 represented populations in the multi-ancestry GWAS. By integrating expression, splicing or methylation QTLs, preliminary results based on a previous BD GWAS indicated that the following genes, among others, are strongly implicated in BD: FURIN, FADS1, DCC, MED24, TTC12, SP4, POU6F2, TRANK1, and DDRD2. Additionally, our preliminary results showed that fine-mapped SNPs for BD can mediate their likely causal effect in specific brain cell-types, specifically inhibitory and excitatory neurons. Taken together, the abovementioned genes represent promising candidates for functional experiments to understand biological mechanisms and therapeutic potential. Finally, we demonstrated that fine-mapping effect sizes can improve performance and transferability of BD polygenic risk scores across ancestrally diverse populations, thus highlighting the potential clinical utility of fine-mapping.</div></div>","PeriodicalId":12049,"journal":{"name":"European Neuropsychopharmacology","volume":"87 ","pages":"Pages 11-12"},"PeriodicalIF":6.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"WHAT IS THE IMPACT OF COMPOUND HETEROZYGOUS EVENTS INVOLVING DELETIONS AND SEQUENCE-LEVEL VARIANTS IN AUTISM?","authors":"Worrawat Engchuan ,&nbsp;Brett Trost ,&nbsp;Marla Mendes de Aquino ,&nbsp;David Mager ,&nbsp;Mehdi Zarrei ,&nbsp;Rulan Shaath ,&nbsp;Rayssa de Melo Wanderley ,&nbsp;Faraz Ali ,&nbsp;Nickie Safarian ,&nbsp;Alex Chan ,&nbsp;Shania Wu ,&nbsp;Stephen W. Scherer ,&nbsp;Elemi Breetvelt ,&nbsp;Jacob Vorstman","doi":"10.1016/j.euroneuro.2024.08.080","DOIUrl":"10.1016/j.euroneuro.2024.08.080","url":null,"abstract":"&lt;div&gt;&lt;div&gt;The majority of human genes maintain normal biological function when they become haploid due to a genomic deletion. However, pathogenicity may still arise when the remaining allele is affected by additional functional variation. Here, we describe analytical strategies for examining a specific type of compound heterozygosity, namely the co-occurrence of a deletion and a sequence-level variant affecting the other allele, hereafter referred to as deletion compound heterozygosity (DelCH). We report preliminary results in using these strategies to assess DelCH in Autism Spectrum Disorder (ASD).&lt;/div&gt;&lt;div&gt;We analyzed whole-genome sequencing data from MSSNG, Simons Simplex Collection, and SPARK cohorts (collectively 11,636 autistic individuals and 22,962 family members).&lt;/div&gt;&lt;div&gt;We developed multiple analytical strategies to examine rare (event rate &lt; 1%) DelCH:&lt;ul&gt;&lt;li&gt;&lt;span&gt;1)&lt;/span&gt;&lt;span&gt;&lt;div&gt;The burden analysis uses conditional logistic regression for group-level comparisons of DelCH rates between a) probands and their deletion-transmitting parents, with inherited deletion as a random effect variable, or b) probands and their family members, with family ID as a random effect variable;&lt;/div&gt;&lt;/span&gt;&lt;/li&gt;&lt;li&gt;&lt;span&gt;2)&lt;/span&gt;&lt;span&gt;&lt;div&gt;The transmission disequilibrium test (TDT) compares the rates with which deletion-non-transmitting parents transmit sequence-level variants within genes affected by deletions to their autistic offspring. Association is indicated by transmission of non-synonymous variants at a rate higher than predicted by chance. This approach was repeated in unaffected siblings as an additional control analysis.&lt;/div&gt;&lt;/span&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div&gt;Each strategy has different strengths and weaknesses. The first burden analysis (1a) achieves perfect matching of deleted sequence and unambiguous phasing of variants but is restricted to proband-parent pairs. The second burden analysis (1b) benefits from a larger sample size but cannot distinguish between de novo and inherited variation. In addition, unambiguous phasing is possible only for SNVs within deletion boundaries. In contrast, while the TDT (2) can include SNVs outside deletion boundaries, thereby increasing statistical power, de novo events are not analyzed.&lt;/div&gt;&lt;div&gt;Our preliminary findings show variability in results as a function of the analytical strategy. Findings from the burden analysis suggest a modest enrichment of DelCH in ASD which was inversely proportional to the variant frequency thresholds applied.&lt;/div&gt;&lt;div&gt;Given that the mechanism consists of two rare events at the same locus, on the population level the role of DelCH in ASD etiology is likely modest, requiring large samples sizes for sufficient statistical power. In addition to this “lightning striking twice”, data preparation is demanding, as every subject has unique deletion regions in which sequence-level variants on the other allele are tallied. Variant selection metrics include allele frequency thres","PeriodicalId":12049,"journal":{"name":"European Neuropsychopharmacology","volume":"87 ","pages":"Page 32"},"PeriodicalIF":6.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"THE POLYGENETIC ARCHITECTURE OF AUTISM","authors":"Jing Zhang ,&nbsp;Jakob Grove ,&nbsp;Caitlin Carey ,&nbsp;Jack Fu ,&nbsp;F. Kyle Satterstrom ,&nbsp;Susan Kuo ,&nbsp;Ajay Nadig ,&nbsp;Swapnil Awasthi ,&nbsp;Kaitlin Samocha ,&nbsp;Anders Børglum ,&nbsp;Elise Robinson","doi":"10.1016/j.euroneuro.2024.08.045","DOIUrl":"10.1016/j.euroneuro.2024.08.045","url":null,"abstract":"<div><div>Autism is highly heritable and has been associated with multiple classes of genetic variation. Common genetic variation contributes substantially to autism. Previously, with 18,381 autistic individuals and 27,969 non-autistic individuals, five genome-wide significant loci were identified. Now with 38,717 autistic individuals and 232,725 non-autistic individuals, we report an updated genome-wide association study (GWAS) of autism with 12 genome-wide significant loci. We observe a moderate genetic correlation (0.675, SE=0.0434) between Europe-based (Nautistic=22,643; Nnon-autistic=204,389) and United States-based (Nautistic =16,074; Nnon-autistic=28,346) autism cohorts, which contributes to the decline of the estimated single nucleotide polymorphism (SNP) heritability (from 0.118 (SE=0.010) to 0.068 (SE=0.003)). The genetic correlation between autism with intellectual disability (ID) (Nautistic=6,590; Nnon-autistic= 43,071; h2=0.062; SE=0.012) and autism without ID (Nautistic=23,173; Nnon-autistic= 204,679; h2=0.089; SE=0.005) is 0.658 (SE=0.086). In the United States family-based cohorts, the genetic correlation between autism with ID (Nfamily=3,993; h2=0.159; SE=0.033) and autism without ID (Nfamily=4,357; h2=0.171; SE=0.031) is 0.812 (SE=0.157). Autism without ID was positively genetically correlated with educational attainment (0.163; P=4.84 × 10-11) and intelligence (0.233; P=1.95 × 10-11). Autism with ID genetically correlated with neither educational attainment (0.036; P=0.409) nor intelligence (-0.072; P=0.235). As ID alone is negatively genetically correlated with intelligence, the lack of correlation between autism with ID and intelligence strongly suggests that autism with ID is genetically different from ID alone. This difference has implications for both research and clinical nosology. Rare and de novo variants contribute substantially to autism in some individuals. Through rare variant analyses, 72 genes have been associated with autism at a genome-wide significant level to date. While de novo protein truncating variants (PTVs) and copy number deletions have been associated with autism, we report preliminary findings that the burden of inherited PTVs and copy number deletions among autistic individuals was elevated compared to their non-autistic siblings (P=4.00 × 10-5). Integration of multiple genetic factors will help us better understand the etiology of autism.</div></div>","PeriodicalId":12049,"journal":{"name":"European Neuropsychopharmacology","volume":"87 ","pages":"Page 16"},"PeriodicalIF":6.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"UPDATE FROM THE “PEDIGREE-BASED WHOLE GENOME SEQUENCING OF AFFECTIVE AND PSYCHOTIC DISORDERS\" CONSORTIUM","authors":"","doi":"10.1016/j.euroneuro.2024.08.082","DOIUrl":"10.1016/j.euroneuro.2024.08.082","url":null,"abstract":"","PeriodicalId":12049,"journal":{"name":"European Neuropsychopharmacology","volume":"87 ","pages":"Page 33"},"PeriodicalIF":6.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"FAST AND EFFICIENT MIXED-EFFECTS ALGORITHM (FEMA) FOR LONGITUDINAL GWAS AND SNP × TIME INTERACTION: APPLICATIONS AND OPPORTUNITIES IN MOBA","authors":"","doi":"10.1016/j.euroneuro.2024.08.106","DOIUrl":"10.1016/j.euroneuro.2024.08.106","url":null,"abstract":"","PeriodicalId":12049,"journal":{"name":"European Neuropsychopharmacology","volume":"87 ","pages":"Page 43"},"PeriodicalIF":6.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"THE ADOLESCENT BRAIN COGNITIVE DEVELOPMENT STUDY: APPLICATIONS FOR PSYCHIATRIC GENETICS RESEARCH","authors":"","doi":"10.1016/j.euroneuro.2024.08.107","DOIUrl":"10.1016/j.euroneuro.2024.08.107","url":null,"abstract":"","PeriodicalId":12049,"journal":{"name":"European Neuropsychopharmacology","volume":"87 ","pages":"Page 43"},"PeriodicalIF":6.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"THE BASICS OF MENDELIAN RANDOMISATION AND SPECIFIC CONSIDERATIONS FOR MENTAL HEALTH TRAITS","authors":"","doi":"10.1016/j.euroneuro.2024.08.029","DOIUrl":"10.1016/j.euroneuro.2024.08.029","url":null,"abstract":"","PeriodicalId":12049,"journal":{"name":"European Neuropsychopharmacology","volume":"87 ","pages":"Page 10"},"PeriodicalIF":6.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142441636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PRELIMINARY INVESTIGATIONS INTO THE GUT MICROBIOME'S ROLE IN SCHIZOPHRENIA","authors":"","doi":"10.1016/j.euroneuro.2024.08.041","DOIUrl":"10.1016/j.euroneuro.2024.08.041","url":null,"abstract":"","PeriodicalId":12049,"journal":{"name":"European Neuropsychopharmacology","volume":"87 ","pages":"Page 14"},"PeriodicalIF":6.1,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}