CSF pQTL study in the Japanese population
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA326771 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Cerebrospinal fluid (CSF) is virtually the only one accessible source of proteins derived from the central nervous system (CNS) of living humans and possibly reflects the pathophysiology of a variety of neuropsychiatric diseases. However, little is known regarding the genetic basis of variation in protein levels of human CSF. We examined CSF levels of 1,126 proteins in 133 subjects and performed genome-wide association analysis of 514,227 single nucleotide polymorphisms (SNPs) to detect protein quantitative trait loci (pQTLs). Spearman’s correlation was used to identify association between genotypes of SNPs and protein levels. A total of 421 cis and 25 trans SNP-protein pairs were significantly correlated at a false discovery rate (FDR) of less than 0.01 (nominal P < 7.66 x 10 −9). Cis-only analysis revealed additional 580 significant cis SNP-protein pairs with FDR < 0.01 (nominal P < 2.13 x 10 −5). pQTL SNPs were more likely, compared to non-pQLT SNPs, to be disease/trait-associated variants identified by previous genome-wide association studies. The present findings suggest that genetic variations play a major role in the regulation of protein expression in the CNS. The obtained database will serve as a valuable resource for future neuropsychiatric research.
2016-12-30 | GSE83709 | GEO
Project description:Cerebrospinal fluid (CSF) is virtually the only one accessible source of proteins derived from the central nervous system (CNS) of living humans and possibly reflects the pathophysiology of a variety of neuropsychiatric diseases. However, little is known regarding the genetic basis of variation in protein levels of human CSF. We examined CSF levels of 1,126 proteins in 133 subjects and performed genome-wide association analysis of 514,227 single nucleotide polymorphisms (SNPs) to detect protein quantitative trait loci (pQTLs). Spearman’s correlation was used to identify association between genotypes of SNPs and protein levels. A total of 421 cis and 25 trans SNP-protein pairs were significantly correlated at a false discovery rate (FDR) of less than 0.01 (nominal P < 7.66 x 10 −9). Cis-only analysis revealed additional 580 significant cis SNP-protein pairs with FDR < 0.01 (nominal P < 2.13 x 10 −5). pQTL SNPs were more likely, compared to non-pQLT SNPs, to be disease/trait-associated variants identified by previous genome-wide association studies. The present findings suggest that genetic variations play a major role in the regulation of protein expression in the CNS. The obtained database will serve as a valuable resource for future neuropsychiatric research.
2016-12-30 | GSE83708 | GEO
Project description:Cerebrospinal fluid (CSF) is virtually the only one accessible source of proteins derived from the central nervous system (CNS) of living humans and possibly reflects the pathophysiology of a variety of neuropsychiatric diseases. However, little is known regarding the genetic basis of variation in protein levels of human CSF. We examined CSF levels of 1,126 proteins in 133 subjects and performed genome-wide association analysis of 514,227 single nucleotide polymorphisms (SNPs) to detect protein quantitative trait loci (pQTLs). Spearman’s correlation was used to identify association between genotypes of SNPs and protein levels. A total of 421 cis and 25 trans SNP-protein pairs were significantly correlated at a false discovery rate (FDR) of less than 0.01 (nominal P < 7.66 x 10 −9). Cis-only analysis revealed additional 580 significant cis SNP-protein pairs with FDR < 0.01 (nominal P < 2.13 x 10 −5). pQTL SNPs were more likely, compared to non-pQLT SNPs, to be disease/trait-associated variants identified by previous genome-wide association studies. The present findings suggest that genetic variations play a major role in the regulation of protein expression in the CNS. The obtained database will serve as a valuable resource for future neuropsychiatric research.
2016-12-30 | GSE83710 | GEO
Project description:Skeletal muscle samples were collected from Japanese males and females to understand gene expression patterns in the Japanese population.
2025-08-15 | GSE274907 | GEO
Project description:This SuperSeries is composed of the SubSeries listed below.
2016-12-30 | GSE83711 | GEO
Project description:A genome-wide eQTL analysis was performed in whole blood samples collected from 76 Japanese subjects. RNA microarray analysis was performed for 3 independent samples that were genotyped in a genome-wide scan. The correlations between the genotypes of 534,404 autosomal single nucleotide polymorphisms (SNPs) and the expression levels of 30,465 probes were examined for each sample. The SNP-probe pairs with combined correlation coefficients of all 3 samples corresponding to P < 3.10 × 10-12 (i.e., Bonferroni-corrected P < 0.05) were considered significant. SNP-probe pairs with a high likelihood of cross-hybridization and SNP-in-probe effects were excluded to exclude false positive results. We identified 102 cis-acting and 5 trans-acting eQTL regions. The cis-eQTL regions were widely distributed both upstream and downstream of the gene, as well as within the gene.
2012-11-27 | GSE42487 | GEO
Project description:Skeletal muscle RNA sequencing in Japanese population
| PRJNA1148442 | ENA
Project description:A genome-wide eQTL analysis was performed in whole blood samples collected from 76 Japanese subjects. RNA microarray analysis was performed for 3 independent samples that were genotyped in a genome-wide scan. The correlations between the genotypes of 534,404 autosomal single nucleotide polymorphisms (SNPs) and the expression levels of 30,465 probes were examined for each sample. The SNP-probe pairs with combined correlation coefficients of all 3 samples corresponding to P < 3.10 × 10-12 (i.e., Bonferroni-corrected P < 0.05) were considered significant. SNP-probe pairs with a high likelihood of cross-hybridization and SNP-in-probe effects were excluded to exclude false positive results. We identified 102 cis-acting and 5 trans-acting eQTL regions. The cis-eQTL regions were widely distributed both upstream and downstream of the gene, as well as within the gene.
2012-11-27 | GSE42229 | GEO
Project description:A genome-wide eQTL analysis was performed in whole blood samples collected from 76 Japanese subjects. RNA microarray analysis was performed for 3 independent samples that were genotyped in a genome-wide scan. The correlations between the genotypes of 534,404 autosomal single nucleotide polymorphisms (SNPs) and the expression levels of 30,465 probes were examined for each sample. The SNP-probe pairs with combined correlation coefficients of all 3 samples corresponding to P < 3.10 × 10-12 (i.e., Bonferroni-corrected P < 0.05) were considered significant. SNP-probe pairs with a high likelihood of cross-hybridization and SNP-in-probe effects were excluded to exclude false positive results. We identified 102 cis-acting and 5 trans-acting eQTL regions. The cis-eQTL regions were widely distributed both upstream and downstream of the gene, as well as within the gene.
2012-11-27 | GSE42228 | GEO
Project description:A genome-wide eQTL analysis was performed in whole blood samples collected from 76 Japanese subjects. RNA microarray analysis was performed for 3 independent samples that were genotyped in a genome-wide scan. The correlations between the genotypes of 534,404 autosomal single nucleotide polymorphisms (SNPs) and the expression levels of 30,465 probes were examined for each sample. The SNP-probe pairs with combined correlation coefficients of all 3 samples corresponding to P < 3.10 × 10-12 (i.e., Bonferroni-corrected P < 0.05) were considered significant. SNP-probe pairs with a high likelihood of cross-hybridization and SNP-in-probe effects were excluded to exclude false positive results. We identified 102 cis-acting and 5 trans-acting eQTL regions. The cis-eQTL regions were widely distributed both upstream and downstream of the gene, as well as within the gene.
2012-11-27 | GSE42227 | GEO