Mendelian randomization (MR) is widely used to identify causality between human traits; however, it suffers from high error rates. Van der Graaf et al. benchmark MR using human metabolic networks to u...

Proteins can affect traits through their interactions with one another. Here, the authors propose the COWAS method to identify pairs of interacting genes or proteins whose genetically regulated co-exp...

Regulatory DNA controls when and where genes are expressed, making it a key driver of phenotypic evolution. Yet detecting selection in non-coding regions remains difficult, as most approaches rely on ...

Success Story Didier Trono While other countries are pressing ahead with the Genome of Europe, Switzerland is still hesitating. A huge mistake, says Didier Trono from the Genome Center in Geneva “I do...

This study introduces single-cell transcription factor (TF) sequencing, a single-cell barcoded and doxycycline-inducible TF overexpression approach that reveals dose-sensitive functional classes of TFs and cellular heterogeneity by mapping TF dose-dependent transcriptomic changes during the reprogramming of mouse embryonic multipotent stromal cells.

Our understanding of the dependence of the genetic and environmental architecture of common diseases on age is incomplete. Here, we use longitudinal data to quantify age-dependent genetic and environm...

When genetic interactions matter and when they don't

Des caractéristiques telles que la taille, le métabolisme et le risque de maladies peuvent être influencées différemment – et même dans des sens opposés – selon que le variant génétique en cause est h...

A novel multistep strategy reveals how parent-of-origin effects shape complex traits in large-scale biobanks.

Traits such as height, metabolism, and disease risk can be affected differently – and even in opposite directions – depending on whether the genetic variant responsible is inherited from the mothe...

Understanding how genetic influences on complex traits change with age is a fundamental question in genetic epidemiology. Both cross-sectional (between-subject) and longitudinal (within-subject) appro...

Careers 5 Prime Sciences uses insights from human genetics to accelerate drug development and increase return on investment in the life sciences. Using unique datasets and advanced human genetics anal...

FIMM-EMBL Group Leaders in Molecular Medicine

Large-scale genomic studies focusing on the genetic contribution to human aging have mostly relied on cross-sectional data. With the release of longitudinally curated aging phenotypes by the UK Bioban...