Evidence map›Paper›PMID 36303034›Full record

ArticleNature structural & molecular biology2022

Mechanism and modeling of human disease-associated near-exon intronic variants that perturb RNA splicing.

Hung-Lun Chiang, Yi-Ting Chen, Jia-Ying Su, Hsin-Nan Lin, Chen-Hsin Albert Yu, Yu-Jen Hung, Yun-Lin Wang, Yen-Tsung Huang, Chien-Ling Lin

Abstract read
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In one paragraph

Article in Nature structural & molecular biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.6field-weighted citation impact, top 9% of its field
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

15 citing papers in PubMed, 30 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Hung-Lun Chiang *Institute of Molecular Biology, Academia Sinica, Taipei, Taiwan.
Yi-Ting Chen *Institute of Molecular Biology, Academia Sinica, Taipei, Taiwan.
Jia-Ying Su *Institute of Molecular Biology, Academia Sinica, Taipei, Taiwan.ORCID http://orcid.org/0000-0001-5934-5458
Hsin-Nan LinInstitute of Molecular Biology, Academia Sinica, Taipei, Taiwan.
Chen-Hsin Albert YuInstitute of Molecular Biology, Academia Sinica, Taipei, Taiwan.ORCID http://orcid.org/0000-0002-5662-3026
Yu-Jen HungInstitute of Molecular Biology, Academia Sinica, Taipei, Taiwan.ORCID http://orcid.org/0000-0001-9302-261X
Yun-Lin WangInstitute of Molecular Biology, Academia Sinica, Taipei, Taiwan.
Yen-Tsung HuangInstitute of Statistical Science, Academia Sinica, Taipei, Taiwan.ORCID http://orcid.org/0000-0001-7657-0040
Chien-Ling LinInstitute of Molecular Biology, Academia Sinica, Taipei, Taiwan. mbcllin@gate.sinica.edu.tw.ORCID http://orcid.org/0000-0002-5730-799X
Institute of Molecular Biology, Academia Sinica · TWInstitute of Statistical Science, Academia Sinica · TWNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is estimated that 10%-30% of disease-associated genetic variants affect splicing. Splicing variants may generate deleteriously altered gene product and are potential therapeutic targets. However, systematic diagnosis or prediction of splicing variants is yet to be established, especially for the near-exon intronic splice region. The major challenge lies in the redundant and ill-defined branch sites and other splicing motifs therein. Here, we carried out unbiased massively parallel splicing assays on 5,307 disease-associated variants that overlapped with branch sites and collected 5,884 variants across the 5' splice region. We found that strong splice sites and exonic features preserve splicing from intronic sequence variation. Whereas the splice-altering mechanism of the 3' intronic variants is complex, that of the 5' is mainly splice-site destruction. Statistical learning combined with these molecular features allows precise prediction of altered splicing from an intronic variant. This statistical model provides the identity and ranking of biological features that determine splicing, which serves as transferable knowledge and out-performs the benchmarking predictive tool. Moreover, we demonstrated that intronic splicing variants may associate with disease risks in the human population. Our study elucidates the mechanism of splicing response of intronic variants, which classify disease-associated splicing variants for the promise of precision medicine.

Indexed as

Alternative SplicingRNA Splice SitesExonsHumansIntronsMutationRNA SplicingRNA Splice Sites

Identifiers

PMID36303034
OpenAlexW4307497501

What OpenQuestion holds

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Read underepoch 390

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.