Maria Koromina , Kai Yuan , Kevin O'Connell , Friederike S. David , Bipolar Disorder Working Group , Biao Zeng , Gabriel Hoffman , Panos Roussos , Niamh Mullins
{"title":"多祖先精细图谱揭示了双相情感障碍的风险基因,并强调了药物再利用的机会","authors":"Maria Koromina , Kai Yuan , Kevin O'Connell , Friederike S. David , Bipolar Disorder Working Group , Biao Zeng , Gabriel Hoffman , Panos Roussos , Niamh Mullins","doi":"10.1016/j.euroneuro.2025.08.540","DOIUrl":null,"url":null,"abstract":"<div><div>Genome wide association studies (GWAS) have identified hundreds of loci contributing to bipolar disorder (BD) risk, yet identifying the causal variants and their functional roles remains a challenge owing to linkage disequilibrium (LD) between risk variants, and incomplete understanding of the non-coding regulatory mechanisms in the brain. The latest multi-ancestry GWAS meta-analysis—which integrated data from European, East Asian, African American, and Latino cohorts (comprising 158,036 cases and 2,796,499 controls)— identified 298 genome-wide significant loci for BD.</div><div>To narrow down these associated regions, we applied SuSiEx, a statistical fine-mapping method that leverages the varied LD architecture across populations, allowing us to prioritize 113 likely causal single-nucleotide polymorphisms (SNPs) within these 298 loci. These SNPs were then mapped to their corresponding genes, and we explored their functional roles for BD by integrating several lines of evidence. First, we employed Summary data-based Mendelian Randomization (SMR) to interpret these SNPs within the context of brain bulk tissue quantitative trait loci (QTLs)—covering expression, splicing, and methylation QTLs. Next, we refined the cell-type specificity of these effects using SMR analysis on a newly published resource of brain single nuclei eQTLs.</div><div>Our integrative analysis highlighted several candidate genes, including TRANK1, CACNA1B, BCL11B, RGPD8, SP4 and POU6F2, with prioritized SNPs showing regulatory effects that are specific to inhibitory and excitatory neurons as well as oligodendrocytes and astrocytes. These observations hint at potential targets for future functional studies aiming to improve our understanding of the biological mechanisms underlying BD. Future directions include drug repurposing analyses using resources such as Drugbank and the Drug Gene Interaction Database (DGIdb), to assess whether existing drugs might modulate these candidate genes to offer innovative treatments for BD.</div></div>","PeriodicalId":12049,"journal":{"name":"European Neuropsychopharmacology","volume":"99 ","pages":"Pages 41-42"},"PeriodicalIF":6.7000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"MULTI-ANCESTRY FINE-MAPPING REVEALS BIPOLAR DISORDER RISK GENES AND HIGHLIGHTS DRUG REPURPOSING OPPORTUNITIES\",\"authors\":\"Maria Koromina , Kai Yuan , Kevin O'Connell , Friederike S. David , Bipolar Disorder Working Group , Biao Zeng , Gabriel Hoffman , Panos Roussos , Niamh Mullins\",\"doi\":\"10.1016/j.euroneuro.2025.08.540\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Genome wide association studies (GWAS) have identified hundreds of loci contributing to bipolar disorder (BD) risk, yet identifying the causal variants and their functional roles remains a challenge owing to linkage disequilibrium (LD) between risk variants, and incomplete understanding of the non-coding regulatory mechanisms in the brain. The latest multi-ancestry GWAS meta-analysis—which integrated data from European, East Asian, African American, and Latino cohorts (comprising 158,036 cases and 2,796,499 controls)— identified 298 genome-wide significant loci for BD.</div><div>To narrow down these associated regions, we applied SuSiEx, a statistical fine-mapping method that leverages the varied LD architecture across populations, allowing us to prioritize 113 likely causal single-nucleotide polymorphisms (SNPs) within these 298 loci. These SNPs were then mapped to their corresponding genes, and we explored their functional roles for BD by integrating several lines of evidence. First, we employed Summary data-based Mendelian Randomization (SMR) to interpret these SNPs within the context of brain bulk tissue quantitative trait loci (QTLs)—covering expression, splicing, and methylation QTLs. Next, we refined the cell-type specificity of these effects using SMR analysis on a newly published resource of brain single nuclei eQTLs.</div><div>Our integrative analysis highlighted several candidate genes, including TRANK1, CACNA1B, BCL11B, RGPD8, SP4 and POU6F2, with prioritized SNPs showing regulatory effects that are specific to inhibitory and excitatory neurons as well as oligodendrocytes and astrocytes. These observations hint at potential targets for future functional studies aiming to improve our understanding of the biological mechanisms underlying BD. Future directions include drug repurposing analyses using resources such as Drugbank and the Drug Gene Interaction Database (DGIdb), to assess whether existing drugs might modulate these candidate genes to offer innovative treatments for BD.</div></div>\",\"PeriodicalId\":12049,\"journal\":{\"name\":\"European Neuropsychopharmacology\",\"volume\":\"99 \",\"pages\":\"Pages 41-42\"},\"PeriodicalIF\":6.7000,\"publicationDate\":\"2025-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Neuropsychopharmacology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0924977X25006984\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Neuropsychopharmacology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0924977X25006984","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
MULTI-ANCESTRY FINE-MAPPING REVEALS BIPOLAR DISORDER RISK GENES AND HIGHLIGHTS DRUG REPURPOSING OPPORTUNITIES
Genome wide association studies (GWAS) have identified hundreds of loci contributing to bipolar disorder (BD) risk, yet identifying the causal variants and their functional roles remains a challenge owing to linkage disequilibrium (LD) between risk variants, and incomplete understanding of the non-coding regulatory mechanisms in the brain. The latest multi-ancestry GWAS meta-analysis—which integrated data from European, East Asian, African American, and Latino cohorts (comprising 158,036 cases and 2,796,499 controls)— identified 298 genome-wide significant loci for BD.
To narrow down these associated regions, we applied SuSiEx, a statistical fine-mapping method that leverages the varied LD architecture across populations, allowing us to prioritize 113 likely causal single-nucleotide polymorphisms (SNPs) within these 298 loci. These SNPs were then mapped to their corresponding genes, and we explored their functional roles for BD by integrating several lines of evidence. First, we employed Summary data-based Mendelian Randomization (SMR) to interpret these SNPs within the context of brain bulk tissue quantitative trait loci (QTLs)—covering expression, splicing, and methylation QTLs. Next, we refined the cell-type specificity of these effects using SMR analysis on a newly published resource of brain single nuclei eQTLs.
Our integrative analysis highlighted several candidate genes, including TRANK1, CACNA1B, BCL11B, RGPD8, SP4 and POU6F2, with prioritized SNPs showing regulatory effects that are specific to inhibitory and excitatory neurons as well as oligodendrocytes and astrocytes. These observations hint at potential targets for future functional studies aiming to improve our understanding of the biological mechanisms underlying BD. Future directions include drug repurposing analyses using resources such as Drugbank and the Drug Gene Interaction Database (DGIdb), to assess whether existing drugs might modulate these candidate genes to offer innovative treatments for BD.
期刊介绍:
European Neuropsychopharmacology is the official publication of the European College of Neuropsychopharmacology (ECNP). In accordance with the mission of the College, the journal focuses on clinical and basic science contributions that advance our understanding of brain function and human behaviour and enable translation into improved treatments and enhanced public health impact in psychiatry. Recent years have been characterized by exciting advances in basic knowledge and available experimental techniques in neuroscience and genomics. However, clinical translation of these findings has not been as rapid. The journal aims to narrow this gap by promoting findings that are expected to have a major impact on both our understanding of the biological bases of mental disorders and the development and improvement of treatments, ideally paving the way for prevention and recovery.