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Adopted individuals in large-scale population based cohorts can be leveraged to partition maternal genetic effects into prenatal and postnatal components, helping elucidate the underlying mechanisms behind these associations, and for diseases, yielding important information regarding the optimal timing of interventions.

Multi-modal imaging, genetic and behavioral findings in humans and mice revealed that metabotropic glutamate receptors of subtype 5 contribute to the molecular machinery keeping track of sleep need and coping with physiological and behavioral consequences of sleep loss, pointing to novel targets for improved wakefulness and sleep.

Infection and metabolic syndrome lead to a loss of molecular regulation, and changes in molecular correlations are under genetic control as revealed by the presence of correlation quantitative trait loci.

A novel Mendelian randomisation framework unravels one gene expression component, correlated with proliferation and genome stability-related features, associated with telomere length in lung adenocarcinoma tumours, which provides insights into how telomere length influences the genetic basis of lung cancer aetiology.

An integrative approach allows investigations of the relationship between an initial plasticity and the subsequent adaptive evolution during rapid adaptive modification of complex systems in the wild.

A genome-wide catalog of the regulatory effects of variants that separate modern humans from archaic humans.

A massively parallel reporter assay, mSTARR-seq, reveals widespread DNA methylation-environment interactions across the genome, prioritizing CpG sites identified in epigenome-wide association studies that may be most relevant to biological embedding.

Genetic variation influencing the gut microbiome is abundant among incipient mammalian host species, and cospeciating bacterial taxa display a unique genetic architecture.

Numerous related sample characteristics affect polygenic score performance, and incorporation of interaction effects increases both model and polygenic score performance.

Environmental heterogeneity may contribute to the high levels of genetic variation in glucosinolate genes found in Arabidopsis thaliana.