Multivariate haplotype analysis of 96 sulci opening for 15,612 UK-Biobank subjects

S. Karkar (1) , A. Gloaguen (1, 2) , Y. Le Guen (1) , Morgane Pierre-Jean (3) , C. Dandine-Roulland (3) , E. Le Floch (3) , C. Philippe (1) , A. Tenenhaus (2) , V. Frouin (1)

1 UNATI - Unité Analyse et Traitement de l'Information
2 L2S - Laboratoire des signaux et systèmes
3 CNG - Centre National de Génotypage

Imaging genetic studies of large control cohorts such as UK Biobank enable to assess the range of normal variations in brain structures. Previous studies by our group have shown that the width of several cortical sulci is associated with a variant in the upstream region of KCNK2 gene even if this effect is corrected with age. Here we propose to analyze in a multivariate setup the associations between sets of genetic variants and multiple sulci widths. The genetic variants we consider are sets of SNPs of known phase called haplotypes, taken from the upstream region of KCNK2 gene. To the best of our knowledge, multivariate analysis in imaging genetics has never been used in haplotype studies. Our method was able to recover the expected association signal and uncover new associations between imaging data and genetic variants.

Keywords: multivariate analysis; Imaging genetics; haplotype

Domains: Imaging; Bioinformatics [q-bio.QM]; Populations and Evolution [q-bio.PE]; Machine Learning [stat.ML]

S. Karkar, A. Gloaguen, Y. Le Guen, Morgane Pierre-Jean, C. Dandine-Roulland, et al.. Multivariate haplotype analysis of 96 sulci opening for 15,612 UK-Biobank subjects. ISBI 2019 - Proceedings of the IEEE International Symposium on Biomedical Imaging, Apr 2019, Venice, Italy. ⟨cea-02016827⟩