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DTSTAMP:20260424T102136Z
UID:1714122000@ist.ac.at
DTSTART:20240426T110000
DTEND:20240426T120000
DESCRIPTION:Speaker: Matt Robinson\nhosted by Beatriz Vicoso \nAbstract: Ab
 stract: A basic principle of genetics is that observable characteristics 
 result from two sources: the expression of an individual's DNA and the env
 ironment that they experience. Identifying the DNA regions involved and ac
 curately estimating their influence across lifespan is key to understandin
 g how DNA shapes disease outcomes. However\, genetic effects reflect multi
 ple underlying biological processes\, and they are likely small\, with a l
 arge number of associated regions dispersed widely across the DNA\, which 
 makes their quantification difficult. Our group develops theory and analys
 is methods for large-scale high-dimensional genomics data that we hope can
  provide insights into long-standing questions in quantitative genetics. I
 n this talk\, I will present a series of work that we have conducted over 
 the past four years which is aimed at enhancing prediction of disease outc
 omes from the DNA and improving association testing between the DNA and el
 ectronic health record data. I will provide evidence that the genetic basi
 s of age-at-menopause is predominantly age-specific and also show how grap
 hical modelling can lead to novel insight into how DNA associations change
  through life. Finally\, I will then describe how trait variation is shape
 d by potentially complex relationships between the DNA effects of children
  and their parents\, and discuss our ongoing work to understand whether th
 eir separation and quantification is possible in human population data.
LOCATION:RLH\, ISTA
ORGANIZER:maria.arias.sutil@ista.ac.at
SUMMARY:Matt Robinson: Modelling the genetic basis of human complex traits
URL:https://talks-calendar.ista.ac.at/events/4620
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