Evidence map›Paper›PMID 36344696›Full record

ArticleHuman genetics2023

Profiling human pathogenic repeat expansion regions by synergistic and multi-level impacts on molecular connections.

Cong Fan, Ken Chen, Yukai Wang, Edward V Ball, Peter D Stenson, Matthew Mort, Albino Bacolla, Hildegard Kehrer-Sawatzki, John A Tainer, David N Cooper and 1 more

Open access · greenAbstract read
In one paragraph

Article in Human genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 56% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

11 authors at 4 institutions in 4 countries.

Cong Fan *Department of Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, 107 Yan Jiang West Road, Guangzhou, 500001, People's Republic of China.
Ken Chen *School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, 500001, China.
Yukai WangSchool of Life Science, Sun Yat-Sen University, Guangzhou, 500001, China.
Edward V BallInstitute of Medical Genetics, School of Medicine, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK.
Peter D StensonInstitute of Medical Genetics, School of Medicine, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK.
Matthew MortInstitute of Medical Genetics, School of Medicine, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK.
Albino BacollaDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, 6767 Bertner Avenue, Houston, TX, 77030, USA.
Hildegard Kehrer-SawatzkiInstitute of Human Genetics, University of Ulm, Albert-Einstein-Allee 11, 89081, Ulm, Germany.
John A TainerDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, 6767 Bertner Avenue, Houston, TX, 77030, USA.
David N CooperInstitute of Medical Genetics, School of Medicine, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK.
Huiying ZhaoDepartment of Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, 107 Yan Jiang West Road, Guangzhou, 500001, People's Republic of China. zhaohy8@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0001-8323-239X
Cardiff University · GBSun Yat-sen University · CNThe University of Texas MD Anderson Cancer Center · USUniversität Ulm · DE

Funding

Transcription-Coupled & Replication-Associated Excision RepairP01CA092584 · NCI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI John A. Tainer · 2001 to 2026
$89.6M
Mesoscale and Nanoscale Technologies Integrated by Structures for DNA Repair Complexes (MANTIS-DRC)R35CA220430 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI John A. Tainer · 2018 to 2026
$7.6M
NCI NIH HHS P01 CA092584NCI NIH HHS R35 CA220430
6 · The paper itself

Abstract

Whilst DNA repeat expansions cause numerous heritable human disorders, their origins and underlying pathological mechanisms are often unclear. We collated a dataset comprising 224 human repeat expansions encompassing 203 different genes, and performed a systematic analysis with respect to key topological features at the DNA, RNA and protein levels. Comparison with controls without known pathogenicity and genomic regions lacking repeats, allowed the construction of the first tool to discriminate repeat regions harboring pathogenic repeat expansions (DPREx). At the DNA level, pathogenic repeat expansions exhibited stronger signals for DNA regulatory factors (e.g. H3K4me3, transcription factor-binding sites) in exons, promoters, 5'UTRs and 5'genes but were not significantly different from controls in introns, 3'UTRs and 3'genes. Additionally, pathogenic repeat expansions were also found to be enriched in non-B DNA structures. At the RNA level, pathogenic repeat expansions were characterized by lower free energy for forming RNA secondary structure and were closer to splice sites in introns, exons, promoters and 5'genes than controls. At the protein level, pathogenic repeat expansions exhibited a preference to form coil rather than other types of secondary structure, and tended to encode surface-located protein domains. Guided by these features, DPREx ( http://biomed.nscc-gz.cn/zhaolab/geneprediction/# ) achieved an Area Under the Curve (AUC) value of 0.88 in a test on an independent dataset. Pathogenic repeat expansions are thus located such that they exert a synergistic influence on the gene expression pathway involving inter-molecular connections at the DNA, RNA and protein levels.

Indexed as

DNADNA Repeat ExpansionHumansIntronsRNATrinucleotide Repeat ExpansionDNARNA

Identifiers

PMID36344696
PMCPMC10290229
OpenAlexW4308410292

What OpenQuestion holds

Textmetadata
LicenceTDM
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.