Evidence map›Paper›PMID 40581089›Full record

ReviewMolecules and cells2025

Advancing precision diagnosis in autism: Insights from large-scale genomic studies.

Soo-Whee Kim, Joon-Yong An

Abstract readReview
In one paragraph

Review in Molecules and cells, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Soo-Whee KimDepartment of Integrated Biomedical and Life Science, Korea University, Seoul, Republic of Korea; L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Seoul, Republic of Korea.
Joon-Yong AnDepartment of Integrated Biomedical and Life Science, Korea University, Seoul, Republic of Korea; L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Seoul, Republic of Korea; School of Biosystem and Biomedical Science, College of Health Science, Korea University, Seoul, Republic of Korea. Electronic address: joonan30@korea.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autism spectrum disorder (ASD) is a neurodevelopmental condition with a complex genetic basis. Large-scale whole-exome sequencing and whole-genome sequencing studies, with increasing sample sizes and improved ancestral diversity, have significantly advanced the discovery of ASD-associated genes. In addition to identifying coding variants, whole-genome sequencing has facilitated the detection of risk noncoding variants in regulatory elements such as enhancers, promoters, and untranslated regions, prompting experimental validation of their functional impact on neurodevelopment. A deeper understanding of ASD genetic liability has revealed the interplay between rare and common variants. Moreover, genetic liability varies by sex and phenotype profile, underscoring the complexity of ASD's genetic architecture. While the clinical application of these genomic insights remains in early stages, progress has been made in gene-based therapeutic development, the interpretation of noncoding risk variants, and the use of polygenic score for risk stratification. In this review, we summarize key findings from large-scale genomic studies, explore the role of coding and noncoding variants in ASD, and discuss emerging opportunities for translating these discoveries into clinical practice.

Indexed as

Autism Spectrum DisorderAutistic DisorderGenomicsPrecision MedicineGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansAutism spectrum disorderGene-based therapeuticsGene discoveryNeurodevelopmentNoncoding variants

Identifiers

PMID40581089
PMCPMC12275934

What OpenQuestion holds

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Registered trials

None linked

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.