yQTL Pipeline: A structured computational workflow for large scale quantitative trait loci discovery and downstream visualization

• Published in: PloS one Vol. 19; no. 6; p. e0298501
• Main Authors: Li, Mengze, Song, Zeyuan, Gurinovich, Anastasia, Schork, Nicholas, Sebastiani, Paola, Monti, Stefano
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 04.06.2024; Public Library of Science (PLoS)
• Subjects: Aging; Biological products; Biology and Life Sciences; Computational Biology - methods; Deoxyribonucleic acid; DNA; Gene loci; Gene mapping; Genetic relationship; Genome-Wide Association Study - methods; Genomics; Genotype & phenotype; Genotypes; Geriatrics; Humans; Male; Metabolites; Metabolomics; Nucleotide sequence; Phenotype; Phenotypes; Pipe lines; Polymorphism, Single Nucleotide; Quantitative genetics; Quantitative Trait Loci; Single-nucleotide polymorphism; Software; Variance analysis; Visualization; Workflow; Florida

Quantitative trait loci (QTL) denote regions of DNA whose variation is associated with variations in quantitative traits. QTL discovery is a powerful approach to understand how changes in molecular and clinical phenotypes may be related to DNA sequence changes. However, QTL discovery analysis encomp...