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SUMMARY:Inference platform for Ancestry Informative Markers - Torben Tvede
 brink (Aalborg Universitet\; Københavns Universitet (University of Copenh
 agen))
DTSTART:20161109T123000Z
DTEND:20161109T130000Z
UID:TALK68894@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:<span>Co-authors: Poul Svante Eriksen (Aalborg  University)\, 
 Helle Smidt Mogensen (University of Copenhagen)\,  Niels Morling (Universi
 ty of Copenhagen) <br></span> <br>In this talk I will present a platform f
 or making inference about Ancestry  Informative Markers (AIMs)\, which are
  a panel of SNP markers used in forensic  genetics to infer the population
  origin of a given DNA profile. <br> <br>Several research groups have prop
 osed such AIM panels\, each with a specific  objective in mind. Some were 
 designed to discriminate between closely related  ethnic groups whereas ot
 her focus on larger distances (more remotely located  populations). This t
 alk is not about selecting markers or populations for  testing. The focus 
 will be about how to provide forensic geneticists with a tool  that can be
  used to infer the most likely population(s) of a given DNA profile.  <br>
  <br>By the use of R (<a target="_blank" rel="nofollow" href="http://www.r
 -project.org">www.r-project.org</a>) and Shiny (web applications framework
  for  R\, RStudio) I have developed a platform that provides the numerical
  and visual  output necessary for the geneticist to analyse and report the
  genetic evidence.  <br> <span><br>In the talk I will discuss the evidenti
 al weight in this situation and  uncertainties in population frequencies. 
 As the database of populations is not  exhaustive\, there is no guarantee 
 that there exists a \\textsl{relevant}  population in the database\, where
  \\textsl{relevant} means a population  sufficiently close to the \\textsl
 {true} population. We derive a database score  specific for each DNA profi
 le and use this score to assess the relevance of the  database relative to
  the DNA profile.</span>
LOCATION:Seminar Room 1\, Newton Institute
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