Skip to contentSkip to filters

We use cookies for analytics.

Topic: genetic variants

Seminar
3 seminars

In Biology and Genetics

Seminar · Genetics

Genetic architecture of polygenic traits and diseases

Lluis Quintana-Murci · Professor at the Collège de France

Fri, Mar 28, 2025 · 08:30 UTC

This lecture examines traits and diseases influenced by many genetic variants. It introduces genome-wide association studies, pleiotropy and polygenic risk scores, then considers their use in precision medicine. Outstanding limitations include unexplained heritability and the uneven representation of human populations in genomic research.

Seminar · Sleep Medicine

Will it keep me awake? Common caffeine intake habits and sleep in real life situations

Hans-Peter Landolt · Institute of Pharmacology and Toxicology, University of Zürich, Zürich, Switzerland; Sleep & Health Zurich, University Center of Competence, University of Zürich, Zürich, Switzerland

Fri, Oct 22, 2021 · 11:00 UTC

Daily caffeine consumption and chronic sleep restriction are highly prevalent in society. It is well established that acute caffeine intake under controlled conditions enhances vigilance and promotes wakefulness but can also delay sleep initiation and reduce electroencephalographic (EEG) markers of sleep intensity, particularly in susceptible individuals. To investigate whether these effects are also present during chronic consumption of coffee/caffeine, we recently conducted several complementary studies. We examined whether repeated coffee intake in dose and timing mimicking ‘real world’ hab

Seminar · Bio-Informatics

From genetics to neurobiology through transcriptomic data analysis

Ahmed Mahfouz · Leiden University Medical Center (LUMC)

Thu, May 6, 2021 · 15:00 UTC

Over the past years, genetic studies have uncovered hundreds of genetic variants to be associated with complex brain disorders. While this really represents a big step forward in understanding the genetic etiology of brain disorders, the functional interpretation of these variants remains challenging. We aim to help with the functional characterization of variants through transcriptomic data analysis. For instance, we rely on brain transcriptome atlases, such as Allen Brain Atlases, to infer functional relations between genes. One example of this is the identification of signaling mechanisms o