Sven Furberg Webinar in Bioinformatics and Statistical Genomics: Dr. Marta Melé

Name: Sven Furberg Webinar in Bioinformatics and Statistical Genomics: Dr. Marta Melé — BigInsight
Start: 2022-05-12T14:30:00+0200
End: 2022-05-12T15:30:00+0200

torsdag 12. mai 2022
2:30 p.m. 3:30 p.m. 14:30 15:30

Google Calendar ICS

We are pleased to announce that Dr. Marta Melé will be the guest speaker of our upcoming Sven Furberg Webinar in Bioinformatics and Statistical Genomics on Thursday May 12th at 14:30 on Zoom (see details below and at https://www.mn.uio.no/sbi/english/furberg-seminars/dr.-marta-mele.html).

Dr. Marta Melé, group leader at the Barcelona Supercomputing Centre, Spain, will present her research on "The anatomy of expression and alternative splicing variation across human traits."

Abstract
Characterizing individual transcriptome variation is fundamental for deciphering human biology and disease. Demographic traits such as ancestry, sex, age and BMI, simultaneously affect gene expression and alternative splicing variation. However, how these variables mechanistically interplay to ultimately define an individual’s phenotype is not well understood. Here, we implement a statistical framework to quantify the joint contribution of these four demographic and 17 clinical traits as drivers of gene expression and alternative splicing variation across 46 human tissues. We demonstrate that demographic traits have different contributions to expression variability that strongly depend on the tissue. Whereas multiple traits can influence a gene additively in specific tissues, we find that interactions are rare. Contrary to expression, variation in tissue splicing is dominated by ancestry and a large fraction of splicing differences between populations are under genetic control. Among those, we find that alternative splicing in ribosomal proteins differs between human populations across most tissues. Furthermore, we observe that clinical traits can have important contributions to tissue transcriptome variation. Type 1 and 2 diabetes affect multiple tissues, particularly the tibial nerve, where their impact resembles that of biological aging. Overall, our study illustrates the power of multi-tissue and multi-trait transcriptome analysis and provides an extensive characterization of the main drivers of human transcriptome variation.

Looking forward to seeing you all at the webinar.

Best

Anthony & Manuela

Zoom info:
Join Zoom Meeting at https://uio.zoom.us/j/63184835161?pwd=ZWhsaHRNVTZkdDJzakFBZ1EwTDJRUT09

Meeting ID: 631 8483 5161; Passcode: 310067