Evidence map›Paper›PMID 26932475›Full record

ArticleGenome medicine2016

Medical implications of technical accuracy in genome sequencing.

Rachel L Goldfeder, James R Priest, Justin M Zook, Megan E Grove, Daryl Waggott, Matthew T Wheeler, Marc Salit, Euan A Ashley

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
23.7field-weighted citation impact, top 1% 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

74 citing papers in PubMed, 153 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Analytical Validation of a Genomic Newborn Screening Workflow.International journal of neonatal screening · 2025
    Article
  6. Population-scale Long-read Sequencing in themedRxiv : the preprint server for health sciences · 2025
    Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. The Future of Newborn Genomic Testing.Children (Basel, Switzerland) · 2023
    Review
  18. Prenatal exome and genome sequencing for fetal structural abnormalities.American journal of obstetrics and gynecology · 2023
    Review
  19. Article
  20. Review

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Rachel L GoldfederDepartment of Medicine, Stanford University, Stanford, CA, 94305, USA. rlg2@stanford.edu.
James R PriestStanford Center for Inherited Cardiovascular Disease, Stanford University, Stanford, CA, 94305, USA. jpriest@stanford.edu.
Justin M ZookGenome-scale Measurements Group, National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA. Justin.Zook@nist.gov.
Megan E GroveDepartment of Medicine, Stanford University, Stanford, CA, 94305, USA. MGrove@stanfordmed.org.
Daryl WaggottDepartment of Medicine, Stanford University, Stanford, CA, 94305, USA. dwaggott@stanford.edu.
Matthew T WheelerDepartment of Medicine, Stanford University, Stanford, CA, 94305, USA. wheelerm@stanford.edu.
Marc SalitGenome-scale Measurements Group, National Institute of Standards and Technology, Gaithersburg, MD, 20899, USA. salit@nist.gov.
Euan A AshleyDepartment of Medicine, Stanford University, Stanford, CA, 94305, USA. euan@stanford.edu.
Stanford University · USNational Institute of Standards and Technology · US

Funding

Pediatric Scientist Development Program (PSDP) [K12]K12HD000850 · NICHD · YALE UNIVERSITY · PI Sallie R. Permar · 1987 to 2026
$44.1M
POSTDOCTORAL TRAINING IN MEDICAL INFORMATION SCIENCEST15LM007033 · NLM · STANFORD UNIVERSITY · PI SYLVIA KATINA PLEVRITIS · 1985 to 2026
$25.5M
NICHD NIH HHS K12 HD000850NICHD NIH HHS K12-HD000850NLM NIH HHS T15 LM007033NLM NIH HHS T15 LM7033
6 · The paper itself

Abstract

backgroundAs whole exome sequencing (WES) and whole genome sequencing (WGS) transition from research tools to clinical diagnostic tests, it is increasingly critical for sequencing methods and analysis pipelines to be technically accurate. The Genome in a Bottle Consortium has recently published a set of benchmark SNV, indel, and homozygous reference genotypes for the pilot whole genome NIST Reference Material based on the NA12878 genome.

methodsWe examine the relationship between human genome complexity and genes/variants reported to be associated with human disease. Specifically, we map regions of medical relevance to benchmark regions of high or low confidence. We use benchmark data to assess the sensitivity and positive predictive value of two representative sequencing pipelines for specific classes of variation.

resultsWe observe that the accuracy of a variant call depends on the genomic region, variant type, and read depth, and varies by analytical pipeline. We find that most false negative WGS calls result from filtering while most false negative WES variants relate to poor coverage. We find that only 74.6% of the exonic bases in ClinVar and OMIM genes and 82.1% of the exonic bases in ACMG-reportable genes are found in high-confidence regions. Only 990 genes in the genome are found entirely within high-confidence regions while 593 of 3,300 ClinVar/OMIM genes have less than 50% of their total exonic base pairs in high-confidence regions. We find greater than 77 % of the pathogenic or likely pathogenic SNVs currently in ClinVar fall within high-confidence regions. We identify sites that are prone to sequencing errors, including thousands present in publicly available variant databases. Finally, we examine the clinical impact of mandatory reporting of secondary findings, highlighting a false positive variant found in BRCA2.

conclusionsTogether, these data illustrate the importance of appropriate use and continued improvement of technical benchmarks to ensure accurate and judicious interpretation of next-generation DNA sequencing results in the clinical setting.

Indexed as

Genetics, MedicalGenome, HumanGenomicsHigh-Throughput Nucleotide SequencingComputational BiologyDatabases, Nucleic AcidExomeGenetic VariationHumansReproducibility of Results

Identifiers

PMID26932475
PMCPMC4774017
OpenAlexW2289130930

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.