Skip to main content
Premium Trial:

Request an Annual Quote

Microarrays to Feature in New Children s Hospital of Boston Genetic Study of Autism

NEW YORK, Dec. 10 (GenomeWeb News) - The Children's Hospital of Boston has launched a one to two-year study to attempt to pin down the genetic and biochemical causes of autism.


Researchers at the Children's Hospital plan to enroll 100 to 150 children aged two years and older, along with their parents and affected siblings, into the study. In addition, 150 unaffected children will be enrolled to serve as controls.


In the first part of the study, detailed behavioral evaluations will be made of the children and their families. Researchers led by Janice Ware and Leonard Rappaport will assess the subjects for autistic spectrum disorders and carefully classify them according to rigorous clinical research criteria with the goal of developing behavioral profiles that can be correlated with genetic data.


In the second part of the study, researchers led by Ingrid Holm and Louis Kunkel will study DNA samples and perform association and linkage studies to look for genetic differences that are shared within families and differences that may accompany clinical manifestations of autistic spectrum disorders.


In addition, a microarray study of RNA from white blood cells will be performed to examine differences in gene expression among autistic children, their parents and matched control subjects. Researchers will examine 60,000 genes simultaneously and seek to find patterns, or genetic "signatures", that mark the different autistic spectrum disorders.

The Scan

Study Links Genetic Risk for ADHD With Alzheimer's Disease

A higher polygenic risk score for attention-deficit/hyperactivity disorder is also linked to cognitive decline and Alzheimer's disease, a new study in Molecular Psychiatry finds.

Study Offers Insights Into Role of Structural Variants in Cancer

A new study in Nature using cell lines shows that structural variants can enable oncogene activation.

Computer Model Uses Genetics, Health Data to Predict Mental Disorders

A new model in JAMA Psychiatry finds combining genetic and health record data can predict a mental disorder diagnosis before one is made clinically.

Study Tracks Off-Target Gene Edits Linked to Epigenetic Features

Using machine learning, researchers characterize in BMC Genomics the potential off-target effects of 19 computed or experimentally determined epigenetic features during CRISPR-Cas9 editing.