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SUMMARY:Genome-wide Association Analysis of Blood Smear Imaging Phenotypes
  - Chuoxin Ma
DTSTART:20211027T120000Z
DTEND:20211027T130000Z
UID:TALK164452@talks.cam.ac.uk
CONTACT:J.W.Stevens
DESCRIPTION:Peripheral blood smears from 30\,000 healthy blood donors part
 icipating in the COMPARE study have been digitally imaged with the Sysmex 
 CellaVision DM96 system. We develop automatic algorithms to derive cellula
 r phenotypes from these smear images\, which are to be used in follow-on g
 enetic and aetiological analyses. A fast and accurate algorithm to segment
  the white blood cells and platelets from sub images containing single cel
 ls per image has been prototyped. A classification algorithm to identify t
 he subtypes of normal white blood cells\, artifacts and the white cells wi
 th sample age related morphological changes has also been developed and ap
 plied to the COMPARE study images. Morphological features including measur
 es of cell granularity\, size\, shape and colour intensity are extracted f
 rom the segmented and classified images. We focus on the statistical distr
 ibution of the morphological features instead of the univariate cell trait
  considered in ordinary genome-wide association analysis (GWAS)\, and prop
 ose a new method for the GWAS of distribution phenotypes. A joint modellin
 g framework that combines functional principal component analysis and line
 ar mixed effects models is proposed for the new GWAS and we hope that it w
 ill give some insights into the relationship between the genetic component
 s and the distribution of the white cell morphological features.\n\n\n*Joi
 n Zoom Meeting*\nhttps://maths-cam-ac-uk.zoom.us/j/96932950870?pwd=b1o2c2U
 xckVITlRlazJzY0laRmVHZz09\nMeeting ID: 969 3295 0870\nPasscode: DRHjehPj\n
 \n
LOCATION:Virtual (see abstract for Zoom link)
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