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Searching for Genome Sequence Risk Variants in Inherited Autism

2019 Dataset Analysis

University of Colorado, Denver
Denver, Colorado
United States

This project will look for previously undetected sequence variations in the Olduvai domains of the genome; a DNA sequence that has played a role in brain evolution and appears to be connected to the severity of ASD. Using machine learning techniques, advanced sequence analysis will be applied to look for specific changes in the Olduvai domains that are linked to risk for autism.

Keywords:
Genetics
Association Analysis
Candidate Gene Study
Genomics
Informatics
Multivariate Analyses
Quantitative/ Statistical Genetics
Biology
Screening/ Diagnosis/ Phenotyping
Etiology/ Risk Factors

Status:

Completed

Investigator:

Sikela, James

Grant Term:

1 year

Award Type:

Dataset Analysis

Grant Amount:

$100,000.00

Institution Website:

http://www.ucdenver.edu

Grant ID:

11909