Evidence map›Paper›PMID 27903644›Full record

ArticleGenome research2017

A reference data set of 5.4 million phased human variants validated by genetic inheritance from sequencing a three-generation 17-member pedigree.

Michael A Eberle, Epameinondas Fritzilas, Peter Krusche, Morten Källberg, Benjamin L Moore, Mitchell A Bekritsky, Zamin Iqbal, Han-Yu Chuang, Sean J Humphray, Aaron L Halpern and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 210 papers.

0numbers the graph read from it
0cells of the map it votes in
210citing 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

210 citing papers in PubMed, 421 citations in OpenAlex.

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  7. Postoperative Lymph Is a Proximal Source of ctDNA for Detection of Recurrence in HPV-Independent Head and Neck Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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150 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

14 authors at 3 institutions in 2 countries.

Michael A EberleIllumina Incorporated, San Diego, California 92122, USA.
Epameinondas FritzilasIllumina Limited, Chesterford Research Park, Little Chesterford, Nr Saffron Walden, Essex, CB10 1XL, United Kingdom.
Peter KruscheIllumina Limited, Chesterford Research Park, Little Chesterford, Nr Saffron Walden, Essex, CB10 1XL, United Kingdom.
Morten KällbergIllumina Limited, Chesterford Research Park, Little Chesterford, Nr Saffron Walden, Essex, CB10 1XL, United Kingdom.
Benjamin L MooreIllumina Limited, Chesterford Research Park, Little Chesterford, Nr Saffron Walden, Essex, CB10 1XL, United Kingdom.
Mitchell A BekritskyIllumina Limited, Chesterford Research Park, Little Chesterford, Nr Saffron Walden, Essex, CB10 1XL, United Kingdom.
Zamin IqbalWellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, United Kingdom.
Han-Yu ChuangIllumina Incorporated, San Diego, California 92122, USA.
Sean J HumphrayIllumina Limited, Chesterford Research Park, Little Chesterford, Nr Saffron Walden, Essex, CB10 1XL, United Kingdom.
Aaron L HalpernIllumina Incorporated, San Diego, California 92122, USA.
Semyon KruglyakIllumina Incorporated, San Diego, California 92122, USA.
Elliott H MarguliesIllumina Incorporated, San Diego, California 92122, USA.
Gil McVeanWellcome Trust Centre for Human Genetics, Oxford, OX3 7BN, United Kingdom.
David R BentleyIllumina Limited, Chesterford Research Park, Little Chesterford, Nr Saffron Walden, Essex, CB10 1XL, United Kingdom.
Illumina (United Kingdom) · GBIllumina (United States) · USCentre for Human Genetics · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improvement of variant calling in next-generation sequence data requires a comprehensive, genome-wide catalog of high-confidence variants called in a set of genomes for use as a benchmark. We generated deep, whole-genome sequence data of 17 individuals in a three-generation pedigree and called variants in each genome using a range of currently available algorithms. We used haplotype transmission information to create a phased "Platinum" variant catalog of 4.7 million single-nucleotide variants (SNVs) plus 0.7 million small (1-50 bp) insertions and deletions (indels) that are consistent with the pattern of inheritance in the parents and 11 children of this pedigree. Platinum genotypes are highly concordant with the current catalog of the National Institute of Standards and Technology for both SNVs (>99.99%) and indels (99.92%) and add a validated truth catalog that has 26% more SNVs and 45% more indels. Analysis of 334,652 SNVs that were consistent between informatics pipelines yet inconsistent with haplotype transmission ("nonplatinum") revealed that the majority of these variants are de novo and cell-line mutations or reside within previously unidentified duplications and deletions. The reference materials from this study are a resource for objective assessment of the accuracy of variant calls throughout genomes.

Indexed as

GenomicsAlgorithmsDatabases, GeneticExomeGenome, HumanGenotypeHigh-Throughput Nucleotide SequencingHumansINDEL MutationPedigreePolymorphism, Single NucleotideSequence Analysis, DNASoftware

Identifiers

PMID27903644
PMCPMC5204340
OpenAlexW2951529834

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.