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. 2020 Mar 12;10:4569. doi: 10.1038/s41598-020-61288-5

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© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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forecASD prioritizes ASD genetic signal across diverse data types. The majority of novel ASD genes recently identified in two ASD sequencing studies by TADA (not part of forecASD’s training set) fall within the top decile of forecASD (a). The forecASD score is significantly negatively correlated with ASD postmortem differential expression levels (b). Higher scoring forecASD genes are enriched for brain eQTL that also have low p-values (nominal < 0.01) in ASD GWAS (c).