Browsing by Subject "genotypes"

Now showing 1 - 3 of 3
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    Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis
    (Oxford, 2017-07) Hao, Xiaoke; Li, Chanxiu; Yan, Jingwen; Yao, Xiaohui; Risacher, Shannon L.; Saykin, Andrew J.; Shen, Li; Zhang, Daoqiang; Radiology and Imaging Sciences, School of Medicine
    Motivation: Neuroimaging genetics identifies the relationships between genetic variants (i.e., the single nucleotide polymorphisms) and brain imaging data to reveal the associations from genotypes to phenotypes. So far, most existing machine-learning approaches are widely used to detect the effective associations between genetic variants and brain imaging data at one time-point. However, those associations are based on static phenotypes and ignore the temporal dynamics of the phenotypical changes. The phenotypes across multiple time-points may exhibit temporal patterns that can be used to facilitate the understanding of the degenerative process. In this article, we propose a novel temporally constrained group sparse canonical correlation analysis (TGSCCA) framework to identify genetic associations with longitudinal phenotypic markers. Results: The proposed TGSCCA method is able to capture the temporal changes in brain from longitudinal phenotypes by incorporating the fused penalty, which requires that the differences between two consecutive canonical weight vectors from adjacent time-points should be small. A new efficient optimization algorithm is designed to solve the objective function. Furthermore, we demonstrate the effectiveness of our algorithm on both synthetic and real data (i.e., the Alzheimer’s Disease Neuroimaging Initiative cohort, including progressive mild cognitive impairment, stable MCI and Normal Control participants). In comparison with conventional SCCA, our proposed method can achieve strong associations and discover phenotypic biomarkers across multiple time-points to guide disease-progressive interpretation.
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    IMAGING GENOMICS
    (2018) Huang, Heng; Shen, L. I.; Thompson, Paul M.; Huang, Kun; Huang, Junzhou; Yang, Lin; Radiology and Imaging Sciences, School of Medicine
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    Population-Level Effects of Human Papillomavirus Vaccination Programs on Infections with Nonvaccine Genotypes.
    (CDC, 2016-10) Mesher, David; Soldan, Kate; Lehtinen, Matti; Beddows, Simon; Brisson, Marc; Brotherton, Julia M. L.; Chow, Eric P. F.; Cummings, Teresa; Drolet, Mélanie; Fairley, Christopher K.; Garland, Suzanne M.; Kahn, Jessica A.; Kavanagh, Kimberley; Markowitz, Lauri; Pollock, Kevin G.; Söderlund-Strand, Anna; Sonnenberg, Pam; Tabrizi, Sepehr N.; Tanton, Clare; Unger, Elizabeth; Thomas, Sara L.; Department of Pediatrics, IU School of Medicine
    After introduction of vaccination, some prevalences of nonvaccine types changed, without clear evidence for type replacement.