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  1. Deleterious coding variation associated with autism is consistent across populations, as exemplified by admixed Latin American populations.

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  2. Rare coding variation provides insight into the genetic architecture and phenotypic context of autism.

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  3. SCEPTRE improves calibration and sensitivity in single-cell CRISPR screen analysis.

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  4. An approach to gene-based testing accounting for dependence of tests among nearby genes.

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  5. How rare and common risk variation jointly affect liability for autism spectrum disorder.

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  6. Bayesian estimation of cell-type-specific gene expression with prior derived from single-cell data.

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  7. Exponential-family embedding with application to cell developmental trajectories for single-cell RNA-seq data.

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  8. H-MAGMA, inheriting a shaky statistical foundation, yields excess false positives.

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  9. De novo missense variants disrupting protein-protein interactions affect risk for autism through gene co-expression and protein networks in neuronal cell types.

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  10. A selective inference approach for false discovery rate control using multiomics covariates yields insights into disease risk.

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  11. Whole-genome and RNA sequencing reveal variation and transcriptomic coordination in the developing human prefrontal cortex.

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  12. Large-scale exome sequencing study implicates both developmental and functional changes in the neurobiology of autism.

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  13. Using multiple measurements of tissue to estimate cell-type-specific gene expression via deconvolution.

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  14. Identification of common genetic risk variants for autism spectrum disorder.

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  15. Genome-wide de novo risk score implicates promoter variation in autism spectrum disorder.

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  16. An interactome perturbation framework prioritizes damaging missense mutations for developmental disorders.

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  17. An analytical framework for whole-genome sequence association studies and its implications for autism spectrum disorder.

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  18. Refining the role of de novo protein-truncating variants in neurodevelopmental disorders by using population reference samples.

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  19. Insights into autism spectrum disorder genomic architecture and biology from 71 risk loci.

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  20. The autism-associated chromatin modifier CHD8 regulates other autism risk genes during human neurodevelopment.

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  21. De novo insertions and deletions of predominantly paternal origin are associated with autism spectrum disorder.

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  22. A framework for the interpretation of de novo mutation in human disease.

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  23. Transcriptional consequences of 16p11.2 deletion and duplication in mouse cortex and multiplex autism families.

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  24. DAWN: A framework to identify autism genes and subnetworks using gene expression and genetics.

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  25. Coexpression networks implicate human midfetal deep cortical projection neurons in the pathogenesis of autism.

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  26. Integrated model of de novo and inherited genetic variants yields greater power to identify risk genes.

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  27. Rare complete knockouts in humans: Population distribution and significant role in autism spectrum disorders.

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  28. The autism sequencing consortium: Large-scale, high-throughput sequencing in autism spectrum disorders.

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  29. Common genetic variants, acting additively, are a major source of risk for autism.

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  30. De novo mutations revealed by whole-exome sequencing are strongly associated with autism.

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  31. Multiple recurrent de novo CNVs, including duplications of the 7q11.23 Williams syndrome region, are strongly associated with autism.

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