Eric E Schadt

Summary

Affiliation: Mount Sinai School of Medicine
Country: USA

Publications

  1. pmc Analytical validation of whole exome and whole genome sequencing for clinical applications
    Michael D Linderman
    Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
    BMC Med Genomics 7:20. 2014
  2. pmc Modeling kinetic rate variation in third generation DNA sequencing data to detect putative modifications to DNA bases
    Eric E Schadt
    Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, New York 10029, USA
    Genome Res 23:129-41. 2013
  3. ncbi request reprint Bayesian method to predict individual SNP genotypes from gene expression data
    Eric E Schadt
    Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, New York, USA
    Nat Genet 44:603-8. 2012
  4. pmc Integrated systems approach identifies genetic nodes and networks in late-onset Alzheimer's disease
    Bin Zhang
    Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
    Cell 153:707-20. 2013
  5. pmc Integrative analysis of a cross-loci regulation network identifies App as a gene regulating insulin secretion from pancreatic islets
    Zhidong Tu
    Institute of Genomics and Multiscale Biology, Mount Sinai School of Medicine, New York, New York, United States of America
    PLoS Genet 8:e1003107. 2012

Collaborators

Detail Information

Publications5

  1. pmc Analytical validation of whole exome and whole genome sequencing for clinical applications
    Michael D Linderman
    Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
    BMC Med Genomics 7:20. 2014
    ..As part of the test design process each laboratory must determine the performance characteristics of the platform, test and informatics pipeline. This report documents one such characterization of WES/WGS...
  2. pmc Modeling kinetic rate variation in third generation DNA sequencing data to detect putative modifications to DNA bases
    Eric E Schadt
    Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, New York 10029, USA
    Genome Res 23:129-41. 2013
    ..We highlight widespread kinetic variation events, some of which strongly associate with known modification events, while others represent putative chemically modified sites of unknown types...
  3. ncbi request reprint Bayesian method to predict individual SNP genotypes from gene expression data
    Eric E Schadt
    Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York, New York, USA
    Nat Genet 44:603-8. 2012
    ..We discuss the implications of deriving genotypic information from RNA data deposited in the public domain...
  4. pmc Integrated systems approach identifies genetic nodes and networks in late-onset Alzheimer's disease
    Bin Zhang
    Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
    Cell 153:707-20. 2013
    ..Thus the causal network structure is a useful predictor of response to gene perturbations and presents a framework to test models of disease mechanisms underlying LOAD...
  5. pmc Integrative analysis of a cross-loci regulation network identifies App as a gene regulating insulin secretion from pancreatic islets
    Zhidong Tu
    Institute of Genomics and Multiscale Biology, Mount Sinai School of Medicine, New York, New York, United States of America
    PLoS Genet 8:e1003107. 2012
    ..Our result provides a novel hypothesis on the mechanism for the connection between two aging-related diseases: Alzheimer's disease and type 2 diabetes...