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An heritable quantitative trait is a measurable phenotype that depends on the cumulative actions of many genes, and the environment. These traits can vary among individuals, over a range, to produce a continuous distribution of phenotypes. Examples include height, weight and blood pressure.
Moncla et al. scrutinize the role of circulating proteome in mitral valve prolapse development. Integration conducted on large-scale cross-modality data uncover a causal role of the circulating proteome, immunome and macrophage M2 polarization in mitral valve prolapse.
In this Comment, Lamkin and Gymrek discuss recent results that suggest that the systematic incorporation of tandem repeats into complex trait analyses will yield a rich source of causal variants and new biological insights.
In this Journal Club, Loic Yengo discusses a study by Tenesa et al., who used height as a model complex trait to estimate the degree to which height similarity between spouses is caused by mate choice.
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.