Evidence map›Paper›PMID 24356988›Full record

ArticleGenome research2014

A novel method for detecting uniparental disomy from trio genotypes identifies a significant excess in children with developmental disorders.

Daniel A King, Tomas W Fitzgerald, Ray Miller, Natalie Canham, Jill Clayton-Smith, Diana Johnson, Sahar Mansour, Fiona Stewart, Pradeep Vasudevan, Matthew E Hurles and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed, 93 citations in OpenAlex.

  1. Article
  2. Article
  3. UPDhmm: detecting uniparental disomy from NGS trio data.Bioinformatics (Oxford, England) · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Uniparental disomy for chromosome 1 withFrontiers in genetics · 2023
    Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Low-pass genome sequencing-based detection of absence of heterozygosity: validation in clinical cytogenetics.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Article
  16. Review
  17. Case Report: A Novel Homozygous Mutation inFrontiers in genetics · 2021
    Article
  18. Review
  19. Article
  20. 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 7 institutions in 1 country.

Daniel A KingWellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1HH, United Kingdom;
Tomas W Fitzgerald
Ray Miller
Natalie Canham
Jill Clayton-Smith
Diana Johnson
Sahar Mansour
Fiona Stewart
Pradeep Vasudevan
Matthew E Hurles
DDD Study
Wellcome Sanger Institute · GBLeicester Royal Infirmary · GBLondon North West Healthcare NHS Trust · GBManchester University NHS Foundation Trust · GBSheffield Children's NHS Foundation Trust · GBSt George’s University Hospitals NHS Foundation Trust · GBUniversity of Ulster · GB

Funding

Wellcome TrustWellcome Trust 076113Wellcome Trust WT098051
6 · The paper itself

Abstract

Exome sequencing of parent-offspring trios is a popular strategy for identifying causative genetic variants in children with rare diseases. This method owes its strength to the leveraging of inheritance information, which facilitates de novo variant calling, inference of compound heterozygosity, and the identification of inheritance anomalies. Uniparental disomy describes the inheritance of a homologous chromosome pair from only one parent. This aberration is important to detect in genetic disease studies because it can result in imprinting disorders and recessive diseases. We have developed a software tool to detect uniparental disomy from child-mother-father genotype data that uses a binomial test to identify chromosomes with a significant burden of uniparentally inherited genotypes. This tool is the first to read VCF-formatted genotypes, to perform integrated copy number filtering, and to use a statistical test inherently robust for use in platforms of varying genotyping density and noise characteristics. Simulations demonstrated superior accuracy compared with previously developed approaches. We implemented the method on 1057 trios from the Deciphering Developmental Disorders project, a trio-based rare disease study, and detected six validated events, a significant enrichment compared with the population prevalence of UPD (1 in 3500), suggesting that most of these events are pathogenic. One of these events represents a known imprinting disorder, and exome analyses have identified rare homozygous candidate variants, mainly in the isodisomic regions of UPD chromosomes, which, among other variants, provide targets for further genetic and functional evaluation.

Indexed as

GenotypeSoftwareChildChromosome MappingDatabases, GeneticDevelopmental DisabilitiesHumansParent-Child RelationsPolymorphism, Single NucleotideUniparental Disomy

Identifiers

PMID24356988
PMCPMC3975066
OpenAlexW2160966021

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.