Evidence map›Paper›PMID 20843780›Full record

ArticleNucleic acids research2011

Identification of rare DNA variants in mitochondrial disorders with improved array-based sequencing.

Wenyi Wang, Peidong Shen, Sreedevi Thiyagarajan, Shengrong Lin, Curtis Palm, Rita Horvath, Thomas Klopstock, David Cutler, Lynn Pique, Iris Schrijver and 4 more

Open access · goldAbstract readValidation Study
In one paragraph

Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. MUTYH: Not just polyposis.World journal of clinical oncology · 2020
    Review
  4. Isoforms of Base Excision Repair Enzymes Produced by Alternative Splicing.International journal of molecular sciences · 2019
    Review
  5. Review
  6. Article
  7. APE2 is required for ATR-Chk1 checkpoint activation in response to oxidative stress.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Article
  8. Rare variant detection using family-based sequencing analysis.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Article
  9. SRMA: an R package for resequencing array data analysis.Bioinformatics (Oxford, England) · 2012
    Article
  10. Article
  11. High-quality DNA sequence capture of 524 disease candidate genes.Proceedings of the National Academy of Sciences of the United States of America · 2011
    Article
  12. Review
  13. Review
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

14 authors at 7 institutions in 3 countries.

Wenyi WangStanford Genome Technology Center, Stanford University, Palo Alto, CA 94304, USA. wenyiw@stanford.edu
Peidong Shen
Sreedevi Thiyagarajan
Shengrong Lin
Curtis Palm
Rita Horvath
Thomas Klopstock
David Cutler
Lynn Pique
Iris Schrijver
Ronald W Davis
Michael Mindrinos
Terence P Speed
Curt Scharfe
Stanford University · USPalo Alto University · USStanford Medicine · USEmory University · USFriedrich Baur Stiftung · DENewcastle University · GBUniversity of California, Berkeley · US

Funding

Preprocessing and Analysis Tools for High-Throughput TechnologiesR01GM083084 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI IRIZARRY, RAFAEL ANGEL · 2007 to 2018
$4.4M
Discovery of Biomarkers in Human Mitochondrial DiseasesR01EY016240 · NEI · STANFORD UNIVERSITY · PI DAVIS, RONALD WAYNE · 2006 to 2011
$3.6M
NEI NIH HHS R01EY016240NIGMS NIH HHS R01 GM083084
6 · The paper itself

Abstract

A common goal in the discovery of rare functional DNA variants via medical resequencing is to incur a relatively lower proportion of false positive base-calls. We developed a novel statistical method for resequencing arrays (SRMA, sequence robust multi-array analysis) to increase the accuracy of detecting rare variants and reduce the costs in subsequent sequence verifications required in medical applications. SRMA includes single and multi-array analysis and accounts for technical variables as well as the possibility of both low- and high-frequency genomic variation. The confidence of each base-call was ranked using two quality measures. In comparison to Sanger capillary sequencing, we achieved a false discovery rate of 2% (false positive rate 1.2 × 10⁻⁵, false negative rate 5%), which is similar to automated second-generation sequencing technologies. Applied to the analysis of 39 nuclear candidate genes in disorders of mitochondrial DNA (mtDNA) maintenance, we confirmed mutations in the DNA polymerase gamma POLG in positive control cases, and identified novel rare variants in previously undiagnosed cases in the mitochondrial topoisomerase TOP1MT, the mismatch repair enzyme MUTYH, and the apurinic-apyrimidinic endonuclease APEX2. Some patients carried rare heterozygous variants in several functionally interacting genes, which could indicate synergistic genetic effects in these clinically similar disorders.

Indexed as

Genetic VariationAlgorithmsBase SequenceData Interpretation, StatisticalHumansINDEL MutationMitochondrial DiseasesMolecular Sequence DataOligonucleotide Array Sequence AnalysisPolymorphism, Single NucleotideQuality ControlSequence Analysis, DNA

Identifiers

PMID20843780
PMCPMC3017602
OpenAlexW2025221727

What OpenQuestion holds

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LicenceCC BY-NC
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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.