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Title | The Genetic Control of Stoichiometry Underlying Autism. |
Publication Type | Journal Article |
Year of Publication | 2020 |
Authors | Darnell, RB |
Journal | Annu Rev Neurosci |
Volume | 43 |
Pagination | 509-533 |
Date Published | 2020 07 08 |
ISSN | 1545-4126 |
Abstract | Autism is a common and complex neurologic disorder whose scientific underpinnings have begun to be established in the past decade. The essence of this breakthrough has been a focus on families, where genetic analyses are strongest, versus large-scale, case-control studies. Autism genetics has progressed in parallel with technology, from analyses of copy number variation to whole-exome sequencing (WES) and whole-genome sequencing (WGS). Gene mutations causing complete loss of function account for perhaps one-third of cases, largely detected through WES. This limitation has increased interest in understanding the regulatory variants of genes that contribute in more subtle ways to the disorder. Strategies combining biochemical analysis of gene regulation, WGS analysis of the noncoding genome, and machine learning have begun to succeed. The emerging picture is that careful control of the amounts of transcription, mRNA, and proteins made by key brain genes-stoichiometry-plays a critical role in defining the clinical features of autism. |
DOI | 10.1146/annurev-neuro-100119-024851 |
Alternate Journal | Annu Rev Neurosci |
PubMed ID | 32640929 |
PubMed Central ID | PMC7593886 |
Grant List | UM1 HG008901 / HG / NHGRI NIH HHS / United States R01 NS034389 / NS / NINDS NIH HHS / United States R35 NS097404 / NS / NINDS NIH HHS / United States R56 NS034389 / NS / NINDS NIH HHS / United States R01 NS081706 / NS / NINDS NIH HHS / United States UL1 TR000043 / TR / NCATS NIH HHS / United States |