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CATEGORIES:Twentieth Century Think Tank
SUMMARY:How wide and how tall? Genome Wide Association Stu
 dies in debate\, from height to educational attain
 ment and back - Ulrika Björkstén (Clare Hall\; Sve
 riges Radio)
DTSTART;TZID=Europe/London:20190509T130000
DTEND;TZID=Europe/London:20190509T140000
UID:TALK123088AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/123088
DESCRIPTION:In April 2018 a study was published that claimed t
 o have found evolutionary differences between huma
 n populations on different continents\, with a lar
 ger selection in some populations for genes which 
 could be linked to educational attainment (Racimo 
 et al\, _Genetics_\, 208\, 1565–1584). A few month
 s later the same research group presented new resu
 lts calling to question the very foundations of th
 eir own methodology (Jeremy Berg et al\, BioRxiv\,
  23 June 2018).\n\nIn this paper based on a chapte
 r in progress I trace how claims about evolutionar
 y differences between human populations in the sel
 ection of complex traits were constructed from 201
 0 to 2018\, starting with the publication of GWAS-
 data linked to height by the so-called GIANT-conso
 rtium in 2010 (_Nature_\, 467\, 832–838). This art
 icle was considered a breakthrough in GWA-studies 
 of complex human traits\, finding hundreds of gene
 tic markers correlating to height differences betw
 een individuals. Although the authors carefully no
 ted that these genetic markers could not be used f
 or predictive purposes\, but should rather be rega
 rded as indicators of genetic loci suitable for fu
 rther exploration of functional genetic links to h
 eight\, this set of markers was subsequently used 
 in a study investigating evolutionary explanations
  to height differences between different European 
 populations (_Nature Genetics_\, 44\, 1015–1019). 
 The article published in 2012 was hence one of the
  first to claim to have found active selection for
  a complex human trait which differed between popu
 lations.\n\nAfter these two initial articles were 
 published\, several years of similar research foll
 owed on ever larger datasets\, as the GIANT consor
 tium grew. With the increasing power of new datase
 ts\, including genetic data from hundreds of thous
 ands of individuals\, the number of genetic marker
 s that could be statistically linked to height dif
 ferences between individuals also grew. These resu
 lts were in their turn used as starting points for
  new studies of the evolutionary background to dif
 ferences in height between different populations\,
  notably between southern and northern Europeans. 
 Simultaneously\, the success of the 2010-study had
  sparked a whole new field of research applying GW
 AS to an increasing number of human traits\, inclu
 ding one as complex and highly culturally dependen
 t as 'educational attainment'. In 2018 the field h
 ence culminated in a study claiming to have found 
 an evolutionary background to differences between 
 human populations in the frequency of genetic mark
 ers that could be linked to educational attainment
 . The political implications of this claim sparked
  a controversy within the population genetics comm
 unity (Novembre et al\, _Genetics_\, 208\, 1351–13
 55) which led to a reconsideration of earlier resu
 lts. Comparing the GWAS-results from one data set 
 (GIANT) to another (UK Biobank) researchers found 
 that the statistical link between certain genetic 
 markers and height all but disappeared. The explan
 ation given was that the GIANT-dataset suffered fr
 om unknown population stratification. This finding
  brought to question the methodology as such\, sin
 ce it uncovered a hitherto underestimated sensitiv
 ity to confounding factors.\n\nInterestingly\, the
  seminal article of the field\, published in 2010\
 , included a clear warning of using GWAS-results f
 or prediction. Instead it stated that the genetic 
 markers found should only be used as a starting po
 int for further investigations of genetic function
 ality. This story hence unfolds as a case study of
  how scientific results take on new meanings as th
 ey leave their original setting and are interprete
 d by other researchers and implemented as starting
  points for new studies.\n\nAnother aspect of this
  case study is that the original datasets used had
  a very heavy bias of northern European genetic da
 ta. Recent studies have shown that genetic markers
  found by GWAS in one population cannot necessaril
 y be transferred in a meaningful way to another po
 pulation. This story hence also serves as a very c
 oncrete illustration of how a Eurocentric approach
  may skew scientific results.
LOCATION:Seminar Room 2\, Department of History and Philoso
 phy of Science
CONTACT:Richard Staley
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