Now showing items 1-7 of 7

    • Characteristics and Predictive Value of Blood Transcriptome Signature in Males with Autism Spectrum Disorders 

      Kong, Sek Won; Collins, Christin D.; Shimizu-Motohashi, Yuko; Holm, Ingrid A.; Campbell, Malcolm G.; Lee, In-Hee; Brewster, Stephanie J.; Hanson, Ellen M.; Harris, Heather; Lowe, Kathryn R.; Saada, Adrianna; Mora, Andrea; Madison, Kimberly; Hundley, Rachel; Egan, Jessica; McCarthy, Jillian; Eran, Ally; Galdzicki, Michal; Rappaport, Leonard; Kunkel, Louis M.; Kohane, Isaac S. (Public Library of Science, 2012)
      Autism Spectrum Disorders (ASD) is a spectrum of highly heritable neurodevelopmental disorders in which known mutations contribute to disease risk in 20% of cases. Here, we report the results of the largest blood transcriptome ...
    • Combining Gene Expression Data from Different Generations of Oligonucleotide Arrays 

      Hwang, Kyu-Baek; Kong, Sek Won; Greenberg, Steven A.; Park, Peter J. (BioMed Central, 2004)
      Background: One of the important challenges in microarray analysis is to take full advantage of previously accumulated data, both from one's own laboratory and from public repositories. Through a comparative analysis on a ...
    • Divergent dysregulation of gene expression in murine models of fragile X syndrome and tuberous sclerosis 

      Kong, Sek Won; Sahin, Mustafa; Collins, Christin D; Wertz, Mary H; Campbell, Malcolm G; Leech, Jarrett D; Krueger, Dilja; Bear, Mark F; Kunkel, Louis M; Kohane, Isaac S (BioMed Central, 2014)
      Background: Fragile X syndrome and tuberous sclerosis are genetic syndromes that both have a high rate of comorbidity with autism spectrum disorder (ASD). Several lines of evidence suggest that these two monogenic disorders ...
    • Integration of Heterogeneous Expression Data Sets Extends the Role of the Retinol Pathway in Diabetes and Insulin Resistance 

      Park, Peter J.; Kong, Sek Won Won; Tebaldi, Toma; Lai, Weil R.; Kasif, Simon; Kohane, Isaac Samuel (Oxford University Press, 2009)
      Motivation: Type 2 diabetes is a chronic metabolic disease that involves both environmental and genetic factors. To understand the genetics of type 2 diabetes and insulin resistance, the DIabetes Genome Anatomy Project ...
    • The MedSeq Project: a randomized trial of integrating whole genome sequencing into clinical medicine 

      Vassy, Jason L; Lautenbach, Denise M; McLaughlin, Heather M; Kong, Sek Won; Christensen, Kurt D; Krier, Joel; Kohane, Isaac S; Feuerman, Lindsay Z; Blumenthal-Barby, Jennifer; Roberts, J Scott; Lehmann, Lisa Soleymani; Ho, Carolyn Y; Ubel, Peter A; MacRae, Calum A; Seidman, Christine E; Murray, Michael F; McGuire, Amy L; Rehm, Heidi L; Green, Robert C (BioMed Central, 2014)
      Background: Whole genome sequencing (WGS) is already being used in certain clinical and research settings, but its impact on patient well-being, health-care utilization, and clinical decision-making remains largely unstudied. ...
    • Network-Based Analysis of Affected Biological Processes in Type 2 Diabetes Models 

      Liu, Manway; Liberzon, Arthur; Kong, Sek Won Won; Lai, Weil R; Park, Peter J.; Kohane, Isaac Samuel; Kasif, Simon (Public Library of Science, 2007)
      Type 2 diabetes mellitus is a complex disorder associated with multiple genetic, epigenetic, developmental, and environmental factors. Animal models of type 2 diabetes differ based on diet, drug treatment, and gene knockouts, ...
    • Pathway-based outlier method reveals heterogeneous genomic structure of autism in blood transcriptome 

      Campbell, Malcolm G; Kohane, Isaac S; Kong, Sek Won (BioMed Central, 2013)
      Background: Decades of research strongly suggest that the genetic etiology of autism spectrum disorders (ASDs) is heterogeneous. However, most published studies focus on group differences between cases and controls. In ...