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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 identify 128 regions of the genome associated with blood pressure traits in 100,000 Chinese adults. Blood pressure traits contributed differently to CVD risk, with only pulse pressure independently causally associated with carotid plaque.
A new open-access RNA sequencing dataset, MAGE, of 731 individuals across geographically diverse human populations provides a valuable resource to study genetic diversity and evolution and expands the capacity to identify new genetic associations.
Zinc is an essential micronutrient for plants, however its excess causes cellular damage. Here, the authors report that natural variation of Trichome Birefringence (TBR) gene confers zinc toxicity tolerance through modulating root cell wall pectin methylesterification in Arabidopsis.
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.
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.