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Quantitative trait loci are regions of the genome at which genetic variation is associated with a particular quantitative trait - for example, height, weight or blood pressure. Quantitative trait loci are identified by showing a statistical association between genetic markers and measurable phenotypes.
Here the authors conduct a multi-ancestry meta-analysis of telomere length, used diverse approaches to identify genes underlying association signals, and experimentally validated POP5 and KBTBD6 as regulators of telomere length in human cells.
Genomic studies of Heliconius butterflies provide evidence that Heliconius elevatus is a hybrid species, and that its speciation was driven by introgression of traits from Heliconius melpomene into the other parent, an ancestor of Heliconius pardalinus.
Hundreds of arthritis-associated genetic variants have been identified but in most cases their functions remain unknown. Here the authors develop a resource to reveal the effects of variants on gene expression in human synovium, and identify arthritis-related genes.
A recent study in Science demonstrates how capturing gene expression over a developmental time course enables the discovery of dynamic expression quantitative trait loci (eQTLs) that would otherwise be challenging to find.
Using a systems genetics approach, a new study identifies genetic variants and proteins associated with plasma and hepatic lipid abundance and hepatic lipotoxicity.