Evidence map›Paper›PMID 42418076›Full record

ArticleFunctional & integrative genomics2026

Integrative functional genomics maps synaptic and developmental-regulatory autism risk-gene sets across human cortex.

Aojie Lian, Qiong Wang, Mei He, Hong Zhang

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Article in Functional & integrative genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Aojie LianNHC Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan, 410028, China. aojielian@gmail.com.ORCID http://orcid.org/0000-0002-5334-5323
Qiong WangNHC Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan, 410028, China.
Mei HeNHC Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan, 410028, China.
Hong ZhangNHC Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan, 410028, China.

Funding

Health Research Project of Hunan Provincial Health Commission 20253581
6 · The paper itself

Abstract

Autism spectrum disorder (ASD) risk genes converge on synaptic and developmental regulatory biology, but it remains unclear whether fixed risk-gene sets retain the same functional meaning across prenatal and adult cortical contexts. We analyzed predefined ASD risk-gene sets across BrainSpan developmental transcriptomics, three adult cortical bulk cohorts, fetal and adult single-cell resources, composition-aware bulk models, SynGO and Reactome annotations, matched-random controls, correlation-aware gene-set tests, and STRING physical-interaction networks. The broad SFARI gene set showed the strongest adult cortex ASD-control meta-analytic reduction, driven mainly by its SynGO-annotated synaptic component. This adult signal remained significant in Gandal2022 after donor-aware modeling, donor-level aggregation, mixed-effects modeling, covariate sensitivity analyses, outlier checks, and drop-one-reference composition adjustment. Size-matched gene-level resampling indicated that the signal was not explained by gene-set size alone, whereas expression-matched controls supported a more conservative interpretation involving expression-level background properties. In contrast, the mid-prenatal top-20% SFARI subset localized more strongly to fetal progenitor-to-neurogenic states and chromatin-regulatory Reactome terms but did not show a stable adult cortical ASD-control effect. These results define an adult synaptic ASD-associated layer and a mid-prenatal developmental-regulatory layer within predefined ASD risk-gene sets.

Indexed as

Autism Spectrum DisorderCerebral CortexSynapsesAdultFemaleGene Regulatory NetworksGenetic Predisposition to DiseaseGenomicsHumansMaleTranscriptomeAutism spectrum disorderCortical developmentFunctional genomicsGene-set analysisIntegrative genomicsNetwork analysisSingle-cell transcriptomicsSynaptic biology

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.