Joseph D. Buxbaum, PhD
Children who have older siblings or frequent interaction with grandparents are diagnosed with autism spectrum disorders (ASD) earlier than those who do not, according to new research conducted at the Seaver Autism Center for Research and Treatment at Mount Sinai, and published in the journal Autism.
The study, titled “Grandma Knows Best: Family Structure and Age of Diagnosis of Autism Spectrum Disorder,” found that about 50 percent of friends and family members reported they had suspected a child to have a serious condition before they were aware that either parent was concerned. Maternal grandmothers and teachers were the two most common relationship categories to first raise concerns. “Our work shows the important role that family members and friends can play in the timing of a child’s initial diagnosis of autism,” says Joseph D. Buxbaum, PhD, the G. Harold and Leila Y. Mathers Research Professor, and Professor of Psychiatry, Genetics and Genomic Sciences, and Neuroscience, Icahn School of Medicine at Mount Sinai, and Director of the Seaver Autism Center. He is senior author of the paper, which was published online February 8, 2017. The study included colleagues at Columbia Business School and Carnegie Mellon University.
The team conducted an online survey of 477 parents of children with autism. In addition, they carried out novel, follow-up surveys with 196 “friends and family,” who were referred by parents. Eighty percent of the children with ASD were boys, and the median age of diagnosis was 33 months. Frequent interaction with a grandmother reduced the age of diagnosis by 5.18 months, and frequent interaction with a grandfather reduced the age of diagnosis by 3.78 months. “Since early detection of ASD is critical to effective treatment interventions, we hope the study will serve as a call to action to encourage family and friends to share concerns early on,” Dr. Buxbaum says.
In other news, the Autism Sequencing Consortium, a multi-institute research group founded by Dr. Buxbaum, has received a $7 million extension of a grant from the National Institutes of Health to collect, analyze, and share samples and genetic data from people diagnosed with autism.
The Consortium now includes more than 40 international groups and 150 researchers who have generated gene sequencing data from 29,000 individuals, making it the largest such study to date in autism. All shared data and analyses are hosted on a supercomputer called Minerva, designed by Mount Sinai faculty, which enables joint analysis of largescale data. The new grant will extend the project through 2022 and expand the sample to include more than 50,000 individuals.