A powerful approach reveals numerous expression quantitative trait haplotypes in multiple tissues | Zendy

Dingge Ying | Zendy; Mulin Jun Li | Zendy; Pak C. Sham | Zendy; Miaoxin Li | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A powerful approach reveals numerous expression quantitative trait haplotypes in multiple tissues

Author(s) -

Dingge Ying,

Mulin Jun Li,

Pak C. Sham,

Miaoxin Li

Publication year - 2018

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bty318

Subject(s) - expression quantitative trait loci , haplotype , biology , single nucleotide polymorphism , genetics , context (archaeology) , quantitative trait locus , computational biology , snp , gene , regulatory sequence , regulation of gene expression , genotype , paleontology

Recently many studies showed single nucleotide polymorphisms (SNPs) affect gene expression and contribute to development of complex traits/diseases in a tissue context-dependent manner. However, little is known about haplotype's influence on gene expression and complex traits, which reflects the interaction effect between SNPs.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research