Nicolas Barbera, Lily Lei, Alexia Wallace, Faruk Erin, R. Noah Perry, Hester M. den Ruijter, Mete Civelek
{"title":"冠状动脉疾病相关变异调节血管平滑肌细胞基因表达。","authors":"Nicolas Barbera, Lily Lei, Alexia Wallace, Faruk Erin, R. Noah Perry, Hester M. den Ruijter, Mete Civelek","doi":"10.1038/s44161-025-00714-1","DOIUrl":null,"url":null,"abstract":"Genome-wide association studies have identified over 300 genomic loci associated with coronary artery disease (CAD) risk, but identifying functional variants remains challenging due to linkage disequilibrium. Here we show a comprehensive functional characterization of CAD-associated variants in primary vascular smooth muscle cells (SMCs). We performed lentivirus-based massively parallel reporter assays (lentiMPRAs) on 25,892 CAD-associated variants, testing their allele-specific enhancer activity in quiescent and proliferative SMCs. We identified 122 candidate variants with enhancer activity and allelic imbalance, including 23 variants showing condition-biased and 41 showing sex-biased effects. Integrating lentiMPRA with CUT&RUN epigenome profiling and expression quantitative trait loci data, we prioritized 49 functionally relevant variants. CRISPRi experiments on eight variants confirmed their regulatory effects on nine variant–gene pairs: rs35976034 (MAP1S), rs4888409 (CFDP1), rs73193808 (MAP3K7CL), rs67631072 (INPP5B/FHL3), rs1651285 (SNHG18), rs17293632 (SMAD3), rs2238792 (ARVCF) and rs4627080 (NRIP3). Our results fine-map the causal variants that confer CAD risk through their effects on vascular SMCs. Barbera et al. identify and map genetic variants that alter the characteristics of vascular smooth muscle cells and contribute to the risk of coronary artery disease.","PeriodicalId":74245,"journal":{"name":"Nature cardiovascular research","volume":"4 10","pages":"1295-1310"},"PeriodicalIF":10.8000,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Coronary artery disease-associated variants regulate vascular smooth muscle cell gene expression\",\"authors\":\"Nicolas Barbera, Lily Lei, Alexia Wallace, Faruk Erin, R. Noah Perry, Hester M. den Ruijter, Mete Civelek\",\"doi\":\"10.1038/s44161-025-00714-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Genome-wide association studies have identified over 300 genomic loci associated with coronary artery disease (CAD) risk, but identifying functional variants remains challenging due to linkage disequilibrium. Here we show a comprehensive functional characterization of CAD-associated variants in primary vascular smooth muscle cells (SMCs). We performed lentivirus-based massively parallel reporter assays (lentiMPRAs) on 25,892 CAD-associated variants, testing their allele-specific enhancer activity in quiescent and proliferative SMCs. We identified 122 candidate variants with enhancer activity and allelic imbalance, including 23 variants showing condition-biased and 41 showing sex-biased effects. Integrating lentiMPRA with CUT&RUN epigenome profiling and expression quantitative trait loci data, we prioritized 49 functionally relevant variants. CRISPRi experiments on eight variants confirmed their regulatory effects on nine variant–gene pairs: rs35976034 (MAP1S), rs4888409 (CFDP1), rs73193808 (MAP3K7CL), rs67631072 (INPP5B/FHL3), rs1651285 (SNHG18), rs17293632 (SMAD3), rs2238792 (ARVCF) and rs4627080 (NRIP3). Our results fine-map the causal variants that confer CAD risk through their effects on vascular SMCs. Barbera et al. identify and map genetic variants that alter the characteristics of vascular smooth muscle cells and contribute to the risk of coronary artery disease.\",\"PeriodicalId\":74245,\"journal\":{\"name\":\"Nature cardiovascular research\",\"volume\":\"4 10\",\"pages\":\"1295-1310\"},\"PeriodicalIF\":10.8000,\"publicationDate\":\"2025-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature cardiovascular research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.nature.com/articles/s44161-025-00714-1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature cardiovascular research","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s44161-025-00714-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
Genome-wide association studies have identified over 300 genomic loci associated with coronary artery disease (CAD) risk, but identifying functional variants remains challenging due to linkage disequilibrium. Here we show a comprehensive functional characterization of CAD-associated variants in primary vascular smooth muscle cells (SMCs). We performed lentivirus-based massively parallel reporter assays (lentiMPRAs) on 25,892 CAD-associated variants, testing their allele-specific enhancer activity in quiescent and proliferative SMCs. We identified 122 candidate variants with enhancer activity and allelic imbalance, including 23 variants showing condition-biased and 41 showing sex-biased effects. Integrating lentiMPRA with CUT&RUN epigenome profiling and expression quantitative trait loci data, we prioritized 49 functionally relevant variants. CRISPRi experiments on eight variants confirmed their regulatory effects on nine variant–gene pairs: rs35976034 (MAP1S), rs4888409 (CFDP1), rs73193808 (MAP3K7CL), rs67631072 (INPP5B/FHL3), rs1651285 (SNHG18), rs17293632 (SMAD3), rs2238792 (ARVCF) and rs4627080 (NRIP3). Our results fine-map the causal variants that confer CAD risk through their effects on vascular SMCs. Barbera et al. identify and map genetic variants that alter the characteristics of vascular smooth muscle cells and contribute to the risk of coronary artery disease.