The Community for Technology Leaders
2016 IEEE Pacific Visualization Symposium (PacificVis) (2016)
Taipei, Taiwan
April 19, 2016 to April 22, 2016
ISSN: 2165-8773
ISBN: 978-1-5090-1451-4
pp: 254-258
Michael Aupetit , Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar
Ehsan Ullah , Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar
Reda Rawi , Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar
Halima Bensmail , Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar
ABSTRACT
Genome Wide Association Studies (GWAS) examine genetic variants in different individuals to detect variants associated to specific diseases. The 1000 Genomes project is such a collaborative research effort to sequence the genomes of at least 1000 participants of 26 different ethnicities, to establish a detailed summary of human genetic variation. The kinship information is a measure of individuals ancestor relationships within the considered populations. We study the design of kinship data visualizations allowing the experts to discover anomalies in GWAS data. The visual analysis of the 1000 Genomes Project kinship data reveals inconsistencies which call for a deeper analysis of the data quality within this project.
INDEX TERMS
CITATION
Michael Aupetit, Ehsan Ullah, Reda Rawi, Halima Bensmail, "A design study to identify inconsistencies in kinship information: The case of the 1000 Genomes project", 2016 IEEE Pacific Visualization Symposium (PacificVis), vol. 00, no. , pp. 254-258, 2016, doi:10.1109/PACIFICVIS.2016.7465281
366 ms
(Ver 3.3 (11022016))