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SUMMARY:Populations in statistical genetics: what are they\, and how can w
 e infer them from whole genome data? - Dr Dan Lawson ()
DTSTART:20140129T163000Z
DTEND:20140129T173000Z
UID:TALK50634@talks.cam.ac.uk
CONTACT:Jacob Dunn
DESCRIPTION:Describing the genetic structure within a species using the in
 tuitive concept of a population has been a very successful approach throug
 hout the history of biology.  However\, now that whole genome sequencing i
 s becoming available\, our ability to distinguish the detailed relationshi
 ps between individuals makes classifying them into populations seem crude.
  Conversely\, populations are a useful simplification tool for describing 
 historical demography in a conceptually useful manner. I will describe a m
 odel of evolution in which populations exist as a unit\, but individuals m
 ay still have complex relationships. Evolutionary history can be understoo
 d as the history of populations\, and can be described in principle by com
 plex demographic models.  This work uses and extends the FineSTRUCTURE mod
 elling framework (Lawson et al 2012 PLoS Genetics) to describe population 
 history as a series of drift events that can be shared between individuals
  to varying degrees. Careful modelling allows a separation of the interest
 ing population level drift from recent relatedness which is not part of an
 y species-level genetic signal.
LOCATION:BioAnth Lecture Theatre (Room 41)\, Division of Biological Anthro
 pology\, Pembroke Street\, Cambridge\, CB2 3QG
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