Expression Quantitative Trait Loci Analysis

Expression Quantitative Trait Loci (eQTL) analysis is the identification of specific or groups of genetic variants that affect gene expression levels within the cell. Discover the latest research on Expression Quantitative Trait Loci Analysis here.

July 12, 2020

SNPs in SNCA, MCCC1, DLG2, GBF1 and MBNL2 are associated with Parkinson's disease in southern Chinese population

Journal of Cellular and Molecular Medicine
Aonan ZhaoJun Liu
June 22, 2020

Fine-mapping and candidate gene analysis of qFS-Chr. D02, a QTL for fibre strength introgressed from a semi-wild cotton into Gossypium hirsutum

Plant Science : an International Journal of Experimental Plant Biology
Liuchun FengBaoliang Zhou
June 15, 2020

Identifying Plasmopara viticola resistance Loci in grapevine (Vitis amurensis) via genotyping-by-sequencing-based QTL mapping

Plant Physiology and Biochemistry : PPB
Peining FuJiang Lu
July 2, 2020

The E3 ubiquitin ligase MARCH1 regulates antimalaria immunity through interferon signaling and T cell activation

Proceedings of the National Academy of Sciences of the United States of America
Jian WuXin-Zhuan Su
June 29, 2020
Preprint
Open Access

Genetic factors contributing to extensive variability of sex-specific hepatic gene expression in Diversity Outbred mice

BioRxiv : the Preprint Server for Biology
T. Melia, David J Waxman
July 1, 2020

Characterization and in silico analyses of the BRCA1/2 variants identified in individuals with personal and/or family history of BRCA-related cancers

International Journal of Biological Macromolecules
Dilek PirimSehime Gulsun Temel
June 26, 2020
Open Access

Alternative polyadenylation mediates genetic regulation of gene expression

ELife
Briana E MittlemanYang Li
July 3, 2020
Open Access

SNP rs2043211 (p.C10X) in CARD8 Is Associated with Large-Artery Atherosclerosis Stroke in a Chinese Population

Journal of Molecular Neuroscience : MN
Jinyu GuXinfeng Liu
July 6, 2020
Preprint
Open Access

Integration of high-density genetic mapping with transcriptome analysis uncovers numerous agronomic QTL and reveals candidate genes for the control of tillering in sorghum

BioRxiv : the Preprint Server for Biology
R. GovindarajuluJennifer S. Hawkins
June 28, 2020
Open Access

Prioritization of causal genes for coronary artery disease based on cumulative evidence from experimental and in silico studies

Scientific Reports
Alexandra S ShadrinaYurii S Aulchenko

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