Lihua Wang, Katherine Tanner, Stacy L Andersen, Stephanie Cosentino, Vaha Akbary Moghaddam, E Warwick Daw, Jason A Anema, Shiow Jiuan Lin, Acharya Sandeep, Michael Province, Mary K Wojczynski
{"title":"利用长寿命家族研究中的试验B部分鉴定新的执行功能保护位点。","authors":"Lihua Wang, Katherine Tanner, Stacy L Andersen, Stephanie Cosentino, Vaha Akbary Moghaddam, E Warwick Daw, Jason A Anema, Shiow Jiuan Lin, Acharya Sandeep, Michael Province, Mary K Wojczynski","doi":"10.1101/2025.07.08.663708","DOIUrl":null,"url":null,"abstract":"<p><p>The Trail Making Test (TMT) Part B (TMT-B), a well-established assessment of cognitive function, is a frequent component of diagnostic assessments for Mild Cognitive Impairment and dementia in older adults. Identifying the genetic variants associated with the TMT-B will not only gain insights of genetic determinants of cognitive function, but also the molecular mechanisms for dementia. Published GWAS to date for TMT-B suffer from relatively low power due to the use of population level data and imputation methods. To address these deficits, we used a family-based study design to identify the genetic variants associated with the TMT-B incorporating both genome-wide linkage analysis (GWLS) and whole genome sequencing (WGS). As such, we examined the sequenced genetic determinants of TMT-B using GWLS in over 2000 participants from Long Life Family Study (LLFS). In GWLS, the estimated heritability of TMT-B was 0.29. We detected one significant linkage peak at 15q25 (LOD>3.0). Statistical fine-mapping nominated five variants including three SNPs ( <i>NTRK3</i> -rs74031103, protective <i>CEMIP</i> -rs2271159, and protective <i>AGBL1</i> -rs4134376) and two INDELs (protective <i>KLHL25</i> -15:85882445:IND, and protective <i>CEMIP</i> -15:80893381:IND) contributing to the linkage peak. Four out of these five variants are protective for TMT-B. The rs2271159 SNP influences <i>CEMIP</i> expression in cerebellum and hippocampus, while the 15:80893381:IND modulates <i>CEMIP</i> expression in blood. Additionally, the variant rs4134376 is a basal ganglia-specific eQTL for <i>AGBL1</i> . In conclusion, we utilized GWLS, leveraged multi-omics data (whole genome sequence genomic data, transcriptomic data, and lipidomic data), and identified novel protective variants and genes for TMT-B performance.</p>","PeriodicalId":519960,"journal":{"name":"bioRxiv : the preprint server for biology","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12265606/pdf/","citationCount":"0","resultStr":"{\"title\":\"Identification of novel protective loci for executive function using the trail making test part B in the Long Life Family Study.\",\"authors\":\"Lihua Wang, Katherine Tanner, Stacy L Andersen, Stephanie Cosentino, Vaha Akbary Moghaddam, E Warwick Daw, Jason A Anema, Shiow Jiuan Lin, Acharya Sandeep, Michael Province, Mary K Wojczynski\",\"doi\":\"10.1101/2025.07.08.663708\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The Trail Making Test (TMT) Part B (TMT-B), a well-established assessment of cognitive function, is a frequent component of diagnostic assessments for Mild Cognitive Impairment and dementia in older adults. Identifying the genetic variants associated with the TMT-B will not only gain insights of genetic determinants of cognitive function, but also the molecular mechanisms for dementia. Published GWAS to date for TMT-B suffer from relatively low power due to the use of population level data and imputation methods. To address these deficits, we used a family-based study design to identify the genetic variants associated with the TMT-B incorporating both genome-wide linkage analysis (GWLS) and whole genome sequencing (WGS). As such, we examined the sequenced genetic determinants of TMT-B using GWLS in over 2000 participants from Long Life Family Study (LLFS). In GWLS, the estimated heritability of TMT-B was 0.29. We detected one significant linkage peak at 15q25 (LOD>3.0). Statistical fine-mapping nominated five variants including three SNPs ( <i>NTRK3</i> -rs74031103, protective <i>CEMIP</i> -rs2271159, and protective <i>AGBL1</i> -rs4134376) and two INDELs (protective <i>KLHL25</i> -15:85882445:IND, and protective <i>CEMIP</i> -15:80893381:IND) contributing to the linkage peak. Four out of these five variants are protective for TMT-B. The rs2271159 SNP influences <i>CEMIP</i> expression in cerebellum and hippocampus, while the 15:80893381:IND modulates <i>CEMIP</i> expression in blood. Additionally, the variant rs4134376 is a basal ganglia-specific eQTL for <i>AGBL1</i> . In conclusion, we utilized GWLS, leveraged multi-omics data (whole genome sequence genomic data, transcriptomic data, and lipidomic data), and identified novel protective variants and genes for TMT-B performance.</p>\",\"PeriodicalId\":519960,\"journal\":{\"name\":\"bioRxiv : the preprint server for biology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12265606/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"bioRxiv : the preprint server for biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2025.07.08.663708\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"bioRxiv : the preprint server for biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2025.07.08.663708","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Identification of novel protective loci for executive function using the trail making test part B in the Long Life Family Study.
The Trail Making Test (TMT) Part B (TMT-B), a well-established assessment of cognitive function, is a frequent component of diagnostic assessments for Mild Cognitive Impairment and dementia in older adults. Identifying the genetic variants associated with the TMT-B will not only gain insights of genetic determinants of cognitive function, but also the molecular mechanisms for dementia. Published GWAS to date for TMT-B suffer from relatively low power due to the use of population level data and imputation methods. To address these deficits, we used a family-based study design to identify the genetic variants associated with the TMT-B incorporating both genome-wide linkage analysis (GWLS) and whole genome sequencing (WGS). As such, we examined the sequenced genetic determinants of TMT-B using GWLS in over 2000 participants from Long Life Family Study (LLFS). In GWLS, the estimated heritability of TMT-B was 0.29. We detected one significant linkage peak at 15q25 (LOD>3.0). Statistical fine-mapping nominated five variants including three SNPs ( NTRK3 -rs74031103, protective CEMIP -rs2271159, and protective AGBL1 -rs4134376) and two INDELs (protective KLHL25 -15:85882445:IND, and protective CEMIP -15:80893381:IND) contributing to the linkage peak. Four out of these five variants are protective for TMT-B. The rs2271159 SNP influences CEMIP expression in cerebellum and hippocampus, while the 15:80893381:IND modulates CEMIP expression in blood. Additionally, the variant rs4134376 is a basal ganglia-specific eQTL for AGBL1 . In conclusion, we utilized GWLS, leveraged multi-omics data (whole genome sequence genomic data, transcriptomic data, and lipidomic data), and identified novel protective variants and genes for TMT-B performance.