Genetic and Diagnostic Biomarker Development in ASD Toddlers Using Resting State Functional MRI

Abstract

Our overarching strategy is to exploit three large neuroimaging/neurobehavioral datasets to identify brain-imaging based biomarkers for Autism Spectrum Disorders (ASD). At Yale, we focus on determining if brain networks are influenced by genetic factors and if these genetic factors also influence other traits associated with ASD. Specifically, we will provide heritability estimates and test for pleitropy between putative ASD functional and structural networks and cognitive and behavioral traits. Further, we examined the impact of non-synonymous protein coding genetic variants on these ASD connectivity traits.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2017
Accession Number
AD1043294

Entities

People

  • David C. Glahn

Organizations

  • Yale University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Anxiety Disorders
  • Brain
  • Cells
  • Depression
  • Genetics
  • Health Services
  • Lymphocytes
  • Medical Genetics
  • Medical Personnel
  • Neuroimaging
  • Psychiatry

Fields of Study

  • Biology

Readers

  • Child and Adolescent Substance Abuse Science in Autism Spectrum Disorders.
  • Molecular and genetic basis of cancer.

Technology Areas

  • Biotechnology