Carlos Cruchaga, Joseph Bradley, Daniel Western, Ciyang Wang, Eder Lucio Da Fonseca, Achal Neupane, Jiji Kurup, NIcholas Ray, Melissa Jean-Francois, Priyanka Gorijala, Kristy Bergmann, John Budde, Eden Martin, Margaret Pericak-Vance, Michael Cuccaro, Brian Kunkle, John Morris, David Holtzman, Richard Perrin, Adam Naj, Jonathan Haines, Gerard Schellenberg, Victoria Fernandez, Christiane Reitz, Gary Beecham
{"title":"新型早老性痴呆相关基因通过谷氨酸、免疫激活和细胞内信号通路的失调影响发病风险。","authors":"Carlos Cruchaga, Joseph Bradley, Daniel Western, Ciyang Wang, Eder Lucio Da Fonseca, Achal Neupane, Jiji Kurup, NIcholas Ray, Melissa Jean-Francois, Priyanka Gorijala, Kristy Bergmann, John Budde, Eden Martin, Margaret Pericak-Vance, Michael Cuccaro, Brian Kunkle, John Morris, David Holtzman, Richard Perrin, Adam Naj, Jonathan Haines, Gerard Schellenberg, Victoria Fernandez, Christiane Reitz, Gary Beecham","doi":"10.21203/rs.3.rs-4480585/v1","DOIUrl":null,"url":null,"abstract":"<p><p>Alzheimer Disease (AD) is a highly polygenic disease that presents with relatively earlier onset (≤70yo; EOAD) in about 5% of cases. Around 90% of these EOAD cases remain unexplained by pathogenic mutations. Using data from EOAD cases and controls, we performed a genome-wide association study (GWAS) and trans-ancestry meta-analysis on non-Hispanic Whites (NHW, NCase=6,282, NControl=13,386), African Americans (AA NCase=782, NControl=3,663) and East Asians (NCase=375, NControl=838 CO). We identified eight novel significant loci: six in the ancestry-specific analyses and two in the trans-ancestry analysis. By integrating gene-based analysis, eQTL, pQTL and functional annotations, we nominate four novel genes that are involved in microglia activation, glutamate production, and signaling pathways. These results indicate that EOAD, although sharing many genes with LOAD, harbors unique genes and pathways that could be used to create better prediction models or target identification for this type of AD.</p>","PeriodicalId":94282,"journal":{"name":"Research square","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11177996/pdf/","citationCount":"0","resultStr":"{\"title\":\"Novel early-onset Alzheimer-associated genes influence risk through dysregulation of glutamate, immune activation, and intracell signaling pathways.\",\"authors\":\"Carlos Cruchaga, Joseph Bradley, Daniel Western, Ciyang Wang, Eder Lucio Da Fonseca, Achal Neupane, Jiji Kurup, NIcholas Ray, Melissa Jean-Francois, Priyanka Gorijala, Kristy Bergmann, John Budde, Eden Martin, Margaret Pericak-Vance, Michael Cuccaro, Brian Kunkle, John Morris, David Holtzman, Richard Perrin, Adam Naj, Jonathan Haines, Gerard Schellenberg, Victoria Fernandez, Christiane Reitz, Gary Beecham\",\"doi\":\"10.21203/rs.3.rs-4480585/v1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Alzheimer Disease (AD) is a highly polygenic disease that presents with relatively earlier onset (≤70yo; EOAD) in about 5% of cases. Around 90% of these EOAD cases remain unexplained by pathogenic mutations. Using data from EOAD cases and controls, we performed a genome-wide association study (GWAS) and trans-ancestry meta-analysis on non-Hispanic Whites (NHW, NCase=6,282, NControl=13,386), African Americans (AA NCase=782, NControl=3,663) and East Asians (NCase=375, NControl=838 CO). We identified eight novel significant loci: six in the ancestry-specific analyses and two in the trans-ancestry analysis. By integrating gene-based analysis, eQTL, pQTL and functional annotations, we nominate four novel genes that are involved in microglia activation, glutamate production, and signaling pathways. These results indicate that EOAD, although sharing many genes with LOAD, harbors unique genes and pathways that could be used to create better prediction models or target identification for this type of AD.</p>\",\"PeriodicalId\":94282,\"journal\":{\"name\":\"Research square\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11177996/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research square\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21203/rs.3.rs-4480585/v1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research square","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21203/rs.3.rs-4480585/v1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Novel early-onset Alzheimer-associated genes influence risk through dysregulation of glutamate, immune activation, and intracell signaling pathways.
Alzheimer Disease (AD) is a highly polygenic disease that presents with relatively earlier onset (≤70yo; EOAD) in about 5% of cases. Around 90% of these EOAD cases remain unexplained by pathogenic mutations. Using data from EOAD cases and controls, we performed a genome-wide association study (GWAS) and trans-ancestry meta-analysis on non-Hispanic Whites (NHW, NCase=6,282, NControl=13,386), African Americans (AA NCase=782, NControl=3,663) and East Asians (NCase=375, NControl=838 CO). We identified eight novel significant loci: six in the ancestry-specific analyses and two in the trans-ancestry analysis. By integrating gene-based analysis, eQTL, pQTL and functional annotations, we nominate four novel genes that are involved in microglia activation, glutamate production, and signaling pathways. These results indicate that EOAD, although sharing many genes with LOAD, harbors unique genes and pathways that could be used to create better prediction models or target identification for this type of AD.