Evidence map›Paper›PMID 28190455›Full record

ArticleAmerican journal of human genetics2017

Who's Who? Detecting and Resolving Sample Anomalies in Human DNA Sequencing Studies with Peddy.

Brent S Pedersen, Aaron R Quinlan

Abstract read
In one paragraph

Article in American journal of human genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 169 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
169citing papers in PubMed, 3 pooled it
–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

169 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Overlapping genetic etiology of pediatric and adult germ cell tumors.Journal of the National Cancer Institute · 2026
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  11. Rare protein-disrupting variants inmedRxiv : the preprint server for health sciences · 2026
    Article
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  16. Genetic diversity of infertile males in India.Journal of assisted reproduction and genetics · 2026
    Article
  17. Observational
  18. Article
  19. Article
  20. Article

109 more citing papers are in PubMed but not listed here.

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

2 authors.

Brent S PedersenDepartment of Human Genetics, University of Utah, Salt Lake City, UT 84105, USA; Department of Biomedical Informatics, University of Utah, Salt Lake City, UT 84105, USA; USTAR Center for Genetic Discovery, University of Utah, Salt Lake City, UT 84105, USA.
Aaron R QuinlanDepartment of Human Genetics, University of Utah, Salt Lake City, UT 84105, USA; Department of Biomedical Informatics, University of Utah, Salt Lake City, UT 84105, USA; USTAR Center for Genetic Discovery, University of Utah, Salt Lake City, UT 84105, USA. Electronic address: aquinlan@genetics.utah.edu.

Funding

New algorithms and tools for large-scale genomic analysesR01HG006693 · NHGRI · UNIVERSITY OF VIRGINIA · PI QUINLAN, AARON R · 2012 to 2018
$3.1M
NHGRI NIH HHS R01 HG006693
6 · The paper itself

Abstract

The potential for genetic discovery in human DNA sequencing studies is greatly diminished if DNA samples from a cohort are mislabeled, swapped, or contaminated or if they include unintended individuals. Unfortunately, the potential for such errors is significant since DNA samples are often manipulated by several protocols, labs, or scientists in the process of sequencing. We have developed a software package, peddy, to identify and facilitate the remediation of such errors via interactive visualizations and reports comparing the stated sex, relatedness, and ancestry to what is inferred from the individual genotypes derived from whole-genome (WGS) or whole-exome (WES) sequencing. Peddy predicts a sample's ancestry using a machine learning model trained on individuals of diverse ancestries from the 1000 Genomes Project reference panel. Peddy facilitates both automated and interactive, visual detection of sample swaps, poor sequencing quality, and other indicators of sample problems that, if left undetected, would inhibit discovery.

Indexed as

Genome, HumanMachine LearningSoftwareChromosomes, Human, XExomeFemaleGenetic Association StudiesGenetic LociGenotypeHumansMalePedigreePolymorphism, Single NucleotideSequence Analysis, DNAgenetic variationpedigreeQCquality controlsample mixupVCF

Identifiers

PMID28190455
PMCPMC5339084

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.