Evidence map›Paper›PMID 37606238›Full record

ArticleHuman molecular genetics2023

Genome-wide identification of dominant polyadenylation hexamers for use in variant classification.

Henoke K Shiferaw, Celine S Hong, David N Cooper, Jennifer J Johnston, Nisc, Leslie G Biesecker

Abstract read
In one paragraph

Article in Human molecular 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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. 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

6 authors.

Henoke K ShiferawCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, 50 South Drive, Bethesda, MD 20892, United States.ORCID 0009-0003-6126-0332
Celine S HongCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, 50 South Drive, Bethesda, MD 20892, United States.
David N CooperInstitute of Medical Genetics, School of Medicine, Cardiff University, Heath Park, Cardiff CF14 4XN, United Kingdom.
Jennifer J JohnstonCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, 50 South Drive, Bethesda, MD 20892, United States.ORCID 0000-0002-1012-6358
NiscNIH Intramural Sequencing Center, National Human Genome Research Institute, National Institutes of Health, National Institutes of Health, Bethesda, MD 20892, United States.
Leslie G BieseckerCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, 50 South Drive, Bethesda, MD 20892, United States.ORCID 0000-0002-0197-3811

Funding

Rare & Mosaic Disorders Molecular ResearchZIAHG200328 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI BIESECKER, LESLIE · 2009 to 2025
$26.8M
NHGRI NIH HHS HG200359-12
6 · The paper itself

Abstract

Polyadenylation is an essential process for the stabilization and export of mRNAs to the cytoplasm and the polyadenylation signal hexamer (herein referred to as hexamer) plays a key role in this process. Yet, only 14 Mendelian disorders have been associated with hexamer variants. This is likely an under-ascertainment as hexamers are not well defined and not routinely examined in molecular analysis. To facilitate the interrogation of putatively pathogenic hexamer variants, we set out to define functionally important hexamers genome-wide as a resource for research and clinical testing interrogation. We identified predominant polyA sites (herein referred to as pPAS) and putative predominant hexamers across protein coding genes (PAS usage >50% per gene). As a measure of the validity of these sites, the population constraint of 4532 predominant hexamers were measured. The predominant hexamers had fewer observed variants compared to non-predominant hexamers and trimer controls, and CADD scores for variants in these hexamers were significantly higher than controls. Exome data for 1477 individuals were interrogated for hexamer variants and transcriptome data were generated for 76 individuals with 65 variants in predominant hexamers. 3' RNA-seq data showed these variants resulted in alternate polyadenylation events (38%) and in elongated mRNA transcripts (12%). Our list of pPAS and predominant hexamers are available in the UCSC genome browser and on GitHub. We suggest this list of predominant hexamers can be used to interrogate exome and genome data. Variants in these predominant hexamers should be considered candidates for pathogenic variation in human disease, and to that end we suggest pathogenicity criteria for classifying hexamer variants.

Indexed as

GenomePolyadenylationHumansbioinformaticspolyadenylationRNA seqvariant classification

Identifiers

PMID37606238
PMCPMC10656703

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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.