Unknown

Dataset Information

0

Common Expression Quantitative Trait Loci Shared by Histone Genes.


ABSTRACT: A genome-wide association study (GWAS) was conducted to examine expression quantitative trait loci (eQTLs) for histone genes. We examined common eQTLs for multiple histone genes in 373 European lymphoblastoid cell lines (LCLs). A linear regression model was employed to identify single-nucleotide polymorphisms (SNPs) associated with expression of the histone genes, and the number of eQTLs was determined by linkage disequilibrium analysis. Additional associations of the identified eQTLs with other genes were also examined. We identified 31 eQTLs for 29 histone genes through genome-wide analysis using 29 histone genes (P < 2.97 × 10-10). Among them, 12 eQTLs were associated with the expression of multiple histone genes. Transcriptome-wide association analysis using the identified eQTLs showed their associations with additional 80 genes (P < 4.75 × 10-6). In particular, expression of RPPH1, SCARNA2, and SCARNA7 genes was associated with 26, 25, and 23 eQTLs, respectively. This study suggests that histone genes shared 12 common eQTLs that might regulate cell cycle-dependent transcription of histone and other genes. Further investigations are needed to elucidate the transcriptional mechanisms of these genes.

SUBMITTER: Kim H 

PROVIDER: S-EPMC5591967 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

altmetric image

Publications

Common Expression Quantitative Trait Loci Shared by Histone Genes.

Kim Hanseol H   Suh Yujin Y   Lee Chaeyoung C  

International journal of genomics 20170827


A genome-wide association study (GWAS) was conducted to examine expression quantitative trait loci (eQTLs) for histone genes. We examined common eQTLs for multiple histone genes in 373 European lymphoblastoid cell lines (LCLs). A linear regression model was employed to identify single-nucleotide polymorphisms (SNPs) associated with expression of the histone genes, and the number of eQTLs was determined by linkage disequilibrium analysis. Additional associations of the identified eQTLs with other  ...[more]

Similar Datasets

| S-EPMC7427827 | biostudies-literature
| S-EPMC1456825 | biostudies-literature
| S-EPMC1893048 | biostudies-literature
| S-EPMC10886872 | biostudies-literature
2010-06-25 | E-GEOD-7628 | biostudies-arrayexpress
2008-03-04 | GSE7628 | GEO
| S-EPMC1088296 | biostudies-literature
| S-EPMC5228698 | biostudies-literature
| S-EPMC4821039 | biostudies-literature
| S-EPMC8081720 | biostudies-literature