Aliza P. Wingo, Yue Liu, Selina M. Vattathil, Ekaterina S. Gerasimov, Zhen Mei, Suda Parimala Ravindran, Jiaqi Liu, Ananth Shantaraman, Fatemeh Seifar, Erming Wang, Bin Zhang, Joseph Reddy, Mariet Allen, Nilüfer Ertekin-Taner, Philip L. De Jager, Edward J. Fox, Duc M. Duong, Michael P. Epstein, David J. Cutler, Allan I. Levey, David A. Bennett, Nicholas T. Seyfried, Thomas S. Wingo
{"title":"21种神经和精神疾病的多祖先脑pQTL精细定位和全基因组关联研究整合","authors":"Aliza P. Wingo, Yue Liu, Selina M. Vattathil, Ekaterina S. Gerasimov, Zhen Mei, Suda Parimala Ravindran, Jiaqi Liu, Ananth Shantaraman, Fatemeh Seifar, Erming Wang, Bin Zhang, Joseph Reddy, Mariet Allen, Nilüfer Ertekin-Taner, Philip L. De Jager, Edward J. Fox, Duc M. Duong, Michael P. Epstein, David J. Cutler, Allan I. Levey, David A. Bennett, Nicholas T. Seyfried, Thomas S. Wingo","doi":"10.1038/s41588-025-02291-2","DOIUrl":null,"url":null,"abstract":"To understand shared and ancestry-specific genetic control of brain protein expression and its ramifications for disease, we mapped protein quantitative trait loci (pQTLs) in 1,362 brain proteomes from African American, Hispanic/Latin American and non-Hispanic white donors. Among the pQTLs that multiancestry fine-mapping MESuSiE confidently assigned as putative causal pQTLs in a specific population, most were shared across the three studied populations and are referred to as multiancestry causal pQTLs. These multiancestry causal pQTLs were enriched for exonic and promoter regions. To investigate their effects on disease, we modeled the 858 multiancestry causal pQTLs as instrumental variables using Mendelian randomization and genome-wide association study results for neurologic and psychiatric conditions (21 traits in participants with European ancestry, 10 in those with African ancestry and 4 in Hispanic participants). We identified 119 multiancestry pQTL–protein pairs consistent with a causal role in these conditions. Remarkably, 29% of the multiancestry pQTLs in these pairs were coding variants. These results lay an important foundation for the creation of new molecular models of neurologic and psychiatric conditions that are likely to be relevant to individuals across different genetic ancestries. Multiancestry fine-mapping of brain protein quantitative trait loci coupled with Mendelian randomization analyses identifies protein–trait pairs consistent with causal effects across neurological and psychiatric conditions.","PeriodicalId":18985,"journal":{"name":"Nature genetics","volume":"57 9","pages":"2156-2165"},"PeriodicalIF":29.0000,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s41588-025-02291-2.pdf","citationCount":"0","resultStr":"{\"title\":\"Multiancestry brain pQTL fine-mapping and integration with genome-wide association studies of 21 neurologic and psychiatric conditions\",\"authors\":\"Aliza P. Wingo, Yue Liu, Selina M. Vattathil, Ekaterina S. Gerasimov, Zhen Mei, Suda Parimala Ravindran, Jiaqi Liu, Ananth Shantaraman, Fatemeh Seifar, Erming Wang, Bin Zhang, Joseph Reddy, Mariet Allen, Nilüfer Ertekin-Taner, Philip L. De Jager, Edward J. Fox, Duc M. Duong, Michael P. Epstein, David J. Cutler, Allan I. Levey, David A. Bennett, Nicholas T. Seyfried, Thomas S. Wingo\",\"doi\":\"10.1038/s41588-025-02291-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To understand shared and ancestry-specific genetic control of brain protein expression and its ramifications for disease, we mapped protein quantitative trait loci (pQTLs) in 1,362 brain proteomes from African American, Hispanic/Latin American and non-Hispanic white donors. Among the pQTLs that multiancestry fine-mapping MESuSiE confidently assigned as putative causal pQTLs in a specific population, most were shared across the three studied populations and are referred to as multiancestry causal pQTLs. These multiancestry causal pQTLs were enriched for exonic and promoter regions. To investigate their effects on disease, we modeled the 858 multiancestry causal pQTLs as instrumental variables using Mendelian randomization and genome-wide association study results for neurologic and psychiatric conditions (21 traits in participants with European ancestry, 10 in those with African ancestry and 4 in Hispanic participants). We identified 119 multiancestry pQTL–protein pairs consistent with a causal role in these conditions. Remarkably, 29% of the multiancestry pQTLs in these pairs were coding variants. These results lay an important foundation for the creation of new molecular models of neurologic and psychiatric conditions that are likely to be relevant to individuals across different genetic ancestries. Multiancestry fine-mapping of brain protein quantitative trait loci coupled with Mendelian randomization analyses identifies protein–trait pairs consistent with causal effects across neurological and psychiatric conditions.\",\"PeriodicalId\":18985,\"journal\":{\"name\":\"Nature genetics\",\"volume\":\"57 9\",\"pages\":\"2156-2165\"},\"PeriodicalIF\":29.0000,\"publicationDate\":\"2025-09-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.nature.comhttps://www.nature.com/articles/s41588-025-02291-2.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature genetics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.nature.com/articles/s41588-025-02291-2\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature genetics","FirstCategoryId":"99","ListUrlMain":"https://www.nature.com/articles/s41588-025-02291-2","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
Multiancestry brain pQTL fine-mapping and integration with genome-wide association studies of 21 neurologic and psychiatric conditions
To understand shared and ancestry-specific genetic control of brain protein expression and its ramifications for disease, we mapped protein quantitative trait loci (pQTLs) in 1,362 brain proteomes from African American, Hispanic/Latin American and non-Hispanic white donors. Among the pQTLs that multiancestry fine-mapping MESuSiE confidently assigned as putative causal pQTLs in a specific population, most were shared across the three studied populations and are referred to as multiancestry causal pQTLs. These multiancestry causal pQTLs were enriched for exonic and promoter regions. To investigate their effects on disease, we modeled the 858 multiancestry causal pQTLs as instrumental variables using Mendelian randomization and genome-wide association study results for neurologic and psychiatric conditions (21 traits in participants with European ancestry, 10 in those with African ancestry and 4 in Hispanic participants). We identified 119 multiancestry pQTL–protein pairs consistent with a causal role in these conditions. Remarkably, 29% of the multiancestry pQTLs in these pairs were coding variants. These results lay an important foundation for the creation of new molecular models of neurologic and psychiatric conditions that are likely to be relevant to individuals across different genetic ancestries. Multiancestry fine-mapping of brain protein quantitative trait loci coupled with Mendelian randomization analyses identifies protein–trait pairs consistent with causal effects across neurological and psychiatric conditions.
期刊介绍:
Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human and plant traits and on other model organisms. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation.
Integrative genetic topics comprise, but are not limited to:
-Genes in the pathology of human disease
-Molecular analysis of simple and complex genetic traits
-Cancer genetics
-Agricultural genomics
-Developmental genetics
-Regulatory variation in gene expression
-Strategies and technologies for extracting function from genomic data
-Pharmacological genomics
-Genome evolution