{"title":"正向和反向基因组筛选增强了对大型中国恒河猴队列表型变异的理解。","authors":"Bao-Lin Zhang,Yongxuan Chen,Yali Zhang,Yicheng Qiao,Yang Wu,Yi Zhang,Yizheng Lu,Xinran You,Yanling Li,Hong-Di Huang,Qiong Wang,Yijiang Li,Yun Wang,Wenxian Xiao,Hexian Duan,Ming-Hao Qiu,Nan-Hui Chen,Xiaomei Yu,Min-Min Yang,Longbao Lv,David N Cooper,Ping Zheng,Yong-Gang Yao,Ning Liu,Jian-Hong Wang,Dong-Dong Wu","doi":"10.1038/s41467-025-63747-x","DOIUrl":null,"url":null,"abstract":"Combining genotype and phenotype data promises to greatly increase the value of macaque as biomedical models for human disease. Here we launch the Macaque Biobank project by deeply sequencing 919 captive Chinese rhesus macaques (CRM) while assessing 52 phenotypic traits. Genomic analyses reveal the captive CRMs are a mixture of multiple wild sources and exhibit significantly lower mutational load than their Indian counterparts. We identify hundreds of loss-of-function variants linked to human inherited disease and drug targets, and at least seven exert significant effects on phenotypes using forward genomic screens. Genome-wide association analyses reveal 30 independent loci associated with phenotypic variations. Using reverse genomic approaches, we identify DISC1 (p.Arg517Trp) as a genetic risk factor for neuropsychiatric disorders, with macaques carrying this deleterious allele exhibiting impairments in working memory and cortical architecture. This study demonstrates the potential of macaque cohorts for the investigation of genotype-phenotype relationships and exploring potential spontaneous models of human genetic disease.","PeriodicalId":19066,"journal":{"name":"Nature Communications","volume":"102 1","pages":"8703"},"PeriodicalIF":15.7000,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Forward and reverse genomic screens enhance the understanding of phenotypic variation in a large Chinese rhesus macaque cohort.\",\"authors\":\"Bao-Lin Zhang,Yongxuan Chen,Yali Zhang,Yicheng Qiao,Yang Wu,Yi Zhang,Yizheng Lu,Xinran You,Yanling Li,Hong-Di Huang,Qiong Wang,Yijiang Li,Yun Wang,Wenxian Xiao,Hexian Duan,Ming-Hao Qiu,Nan-Hui Chen,Xiaomei Yu,Min-Min Yang,Longbao Lv,David N Cooper,Ping Zheng,Yong-Gang Yao,Ning Liu,Jian-Hong Wang,Dong-Dong Wu\",\"doi\":\"10.1038/s41467-025-63747-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Combining genotype and phenotype data promises to greatly increase the value of macaque as biomedical models for human disease. Here we launch the Macaque Biobank project by deeply sequencing 919 captive Chinese rhesus macaques (CRM) while assessing 52 phenotypic traits. Genomic analyses reveal the captive CRMs are a mixture of multiple wild sources and exhibit significantly lower mutational load than their Indian counterparts. We identify hundreds of loss-of-function variants linked to human inherited disease and drug targets, and at least seven exert significant effects on phenotypes using forward genomic screens. Genome-wide association analyses reveal 30 independent loci associated with phenotypic variations. Using reverse genomic approaches, we identify DISC1 (p.Arg517Trp) as a genetic risk factor for neuropsychiatric disorders, with macaques carrying this deleterious allele exhibiting impairments in working memory and cortical architecture. This study demonstrates the potential of macaque cohorts for the investigation of genotype-phenotype relationships and exploring potential spontaneous models of human genetic disease.\",\"PeriodicalId\":19066,\"journal\":{\"name\":\"Nature Communications\",\"volume\":\"102 1\",\"pages\":\"8703\"},\"PeriodicalIF\":15.7000,\"publicationDate\":\"2025-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Communications\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1038/s41467-025-63747-x\",\"RegionNum\":1,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Communications","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41467-025-63747-x","RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
Forward and reverse genomic screens enhance the understanding of phenotypic variation in a large Chinese rhesus macaque cohort.
Combining genotype and phenotype data promises to greatly increase the value of macaque as biomedical models for human disease. Here we launch the Macaque Biobank project by deeply sequencing 919 captive Chinese rhesus macaques (CRM) while assessing 52 phenotypic traits. Genomic analyses reveal the captive CRMs are a mixture of multiple wild sources and exhibit significantly lower mutational load than their Indian counterparts. We identify hundreds of loss-of-function variants linked to human inherited disease and drug targets, and at least seven exert significant effects on phenotypes using forward genomic screens. Genome-wide association analyses reveal 30 independent loci associated with phenotypic variations. Using reverse genomic approaches, we identify DISC1 (p.Arg517Trp) as a genetic risk factor for neuropsychiatric disorders, with macaques carrying this deleterious allele exhibiting impairments in working memory and cortical architecture. This study demonstrates the potential of macaque cohorts for the investigation of genotype-phenotype relationships and exploring potential spontaneous models of human genetic disease.
期刊介绍:
Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.