Published in Nature Genetics · View the paper (DOI)
Researchers used machine learning to analyze whole genomes of 1,790 individuals with autism and their unaffected parents and siblings. Noncoding mutations were found to be comparable in number to protein-coding mutations causing gene disablement.
Coverage from 2 institutions
- New causes of autism found in 'junk' DNA Simons Foundation · May 27, 2019 · first to report
- Exploring genetic 'dark matter,' researchers gain new insights into autism and stroke Rockefeller University · Jul 24, 2019