Evidence map›Paper›PMID 39669628›Full record

ArticleGenetics in medicine open2024

Copy-number analysis from genome sequencing data of 11,754 rare-disease parent-child trios: A model for identifying autosomal recessive human gene knockouts including a novel gene for autosomal recessive retinopathy.

Eric Olinger, Ian J Wilson, Sarah Orr, Miguel Barroso-Gil, Ruxandra Neatu, Genomics England Research Consortium, Denize Atan, John A Sayer

Abstract read
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Article in Genetics in medicine open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

8 authors.

Eric OlingerTranslational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Central Parkway, Newcastle upon Tyne, United Kingdom.
Ian J WilsonBiosciences Institute, Faculty of Medical Sciences, Newcastle University, Central Parkway, Newcastle upon Tyne, United Kingdom.
Sarah OrrTranslational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Central Parkway, Newcastle upon Tyne, United Kingdom.
Miguel Barroso-GilTranslational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Central Parkway, Newcastle upon Tyne, United Kingdom.
Ruxandra NeatuTranslational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Central Parkway, Newcastle upon Tyne, United Kingdom.
Genomics England Research Consortium
Denize AtanBristol Eye Hospital, University Hospitals Bristol & Weston NHS Foundation Trust, Bristol, United Kingdom.
John A SayerTranslational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Central Parkway, Newcastle upon Tyne, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: In parent-child trios with genome sequencing data, we investigated inherited biallelic deletions to identify known and novel genetic disorders. Methods: We developed a copy-number variations analysis pipeline based on autosomal genome sequencing read depth of Genomics England 100,000 Genomes Project data from 11,754 parent-child trios and additional 18,875 non-trios. A control cohort of 15,440 cancer patients provided independent deletion frequencies. Results: Autosomal recessive (AR) modeling detected 34 distinct rare deletions that were homozygous in the proband and heterozygous in both parents. These inherited biallelic deletions were only detected in 52 trios. These "knockout" regions included 37 genes, having among them 8 with an Online Mendelian Inheritance in Man AR annotation. Deletions of Conclusion: A tailored copy-number variations analysis of genome sequencing trio data shows that biallelic inherited gene deletions are rare, with

Indexed as

CNV analysisGenome sequencingNPHP1RetinopathySLC66A1

Identifiers

PMID39669628
PMCPMC11613694

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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.