BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Genome-wide association studies: Lessons from studying a large cli
 nical cohort - Sven Bergmann (Lausanne)
DTSTART:20130513T150000Z
DTEND:20130513T160000Z
UID:TALK44071@talks.cam.ac.uk
CONTACT:Florian Markowetz
DESCRIPTION:The Cohorte Lausannoise (CoLaus) is a population-based study o
 f more than\n6'000 subjects living in Lausanne\, Switzerland. All individu
 als have been\nextensively phenotyped with respect to various traits refle
 cting\ncardiovascular risk factors\, and the large majority has also been 
 genotyped\nusing SNP-arrays. Comparing the country of origin of these indi
 vidual with\nthe projection of their genotypic profile onto the principal 
 components of\nthe entire genotypic dataset revealed an astonishingly clos
 e correspondence\nbetween genetic and geographic distances\, such that the
  geographical map of\nEurope provides an efficient two-dimensional summary
  of the genetic\nvariation. Genome-wide association studies (GWAS) using C
 oLaus data have\nelucidated many loci with highly significant associations
  to various\norganismal traits. Yet\, it also became apparent that for mos
 t complex traits\nthese loci explain only a small fraction of the phenotyp
 ic variance\, even\nfor highly heritable traits that are known to have a s
 ignificant genetic\ncomponent to their variability. I will discuss our res
 earch aimed at\nincreasing the predictive power of GWAS\, including (a) th
 e identification of\nother genetic variability like copy number variants f
 rom SNP arrays\, (b)\naccessing the contribution of SNP-SNP or SNP-environ
 ment interactions\, (c)\nthe integration of molecular data like transcript
 omics or metabolomics data\,\nand (d) a novel framework for genotype-pheno
 type associations.\n
LOCATION:Cancer Research UK Cambridge Institute\, Lecture Theatre
END:VEVENT
END:VCALENDAR