Autism: Beyond the Genes

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Artificial intelligence detects a new class of mutations behind autism
Many mutations in DNA that contribute to disease are not in actual genes but instead lie in the 99% of the genome once considered 'junk.' Even though scientists have recently come to understand that these vast stretches of DNA do in fact play critical roles, deciphering these effects on a wide scale has been impossible until now...

Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk
Great progress has been made in the past decade in understanding the genetics of ASD, establishing de novo mutations, including copy number variants (CNVs) and point mutations that likely disrupt protein-coding genes, as important causes of ASD1,2. However, when combined, all the known ASD-associated genes explain only a small fraction of new cases and it is estimated that, overall, de novo mutations in protein-coding genes (including CNVs) contribute to no more than 30% of simplex ASD cases2,3. The vast majority of identified de novo mutations are located within intronic and intergenic regions; however, little is known regarding their contribution to the genetic architecture of ASD or for any other complex disease...