Evidence map›Paper›PMID 33526789›Full record

ArticleNature communications2021

PopDel identifies medium-size deletions simultaneously in tens of thousands of genomes.

Sebastian Niehus, Hákon Jónsson, Janina Schönberger, Eythór Björnsson, Doruk Beyter, Hannes P Eggertsson, Patrick Sulem, Kári Stefánsson, Bjarni V Halldórsson, Birte Kehr

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

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  10. Novel sequencing technologies and bioinformatic tools for deciphering the non-coding genome.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2021
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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

10 authors at 4 institutions in 2 countries.

Sebastian NiehusRegensburg Center for Interventional Immunology (RCI), Regensburg, Germany.ORCID 0000-0002-0920-3432
Hákon JónssondeCODE genetics/Amgen Inc., Reykjavík, Iceland.ORCID 0000-0001-6197-494X
Janina SchönbergerRegensburg Center for Interventional Immunology (RCI), Regensburg, Germany.
Eythór BjörnssondeCODE genetics/Amgen Inc., Reykjavík, Iceland.
Doruk BeyterdeCODE genetics/Amgen Inc., Reykjavík, Iceland.
Hannes P EggertssondeCODE genetics/Amgen Inc., Reykjavík, Iceland.ORCID 0000-0002-1674-9978
Patrick SulemCharité-Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0001-7123-6123
Kári StefánssondeCODE genetics/Amgen Inc., Reykjavík, Iceland.
Bjarni V HalldórssondeCODE genetics/Amgen Inc., Reykjavík, Iceland.ORCID 0000-0003-0756-0767
Birte KehrRegensburg Center for Interventional Immunology (RCI), Regensburg, Germany. birte.kehr@ukr.de.ORCID 0000-0002-3417-7504
deCODE Genetics (Iceland) · ISUniversity Hospital Regensburg · DECharité - Universitätsmedizin Berlin · DEReykjavík University · IS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thousands of genomic structural variants (SVs) segregate in the human population and can impact phenotypic traits and diseases. Their identification in whole-genome sequence data of large cohorts is a major computational challenge. Most current approaches identify SVs in single genomes and afterwards merge the identified variants into a joint call set across many genomes. We describe the approach PopDel, which directly identifies deletions of about 500 to at least 10,000 bp in length in data of many genomes jointly, eliminating the need for subsequent variant merging. PopDel scales to tens of thousands of genomes as we demonstrate in evaluations on up to 49,962 genomes. We show that PopDel reliably reports common, rare and de novo deletions. On genomes with available high-confidence reference call sets PopDel shows excellent recall and precision. Genotype inheritance patterns in up to 6794 trios indicate that genotypes predicted by PopDel are more reliable than those of previous SV callers. Furthermore, PopDel's running time is competitive with the fastest tested previous tools. The demonstrated scalability and accuracy of PopDel enables routine scans for deletions in large-scale sequencing studies.

Indexed as

Genomic Structural VariationSequence DeletionFeasibility StudiesFemaleGenome, HumanHigh-Throughput Nucleotide SequencingHumansInheritance PatternsMaleMetagenomicsReproducibility of ResultsSequence Analysis, DNA

Identifiers

PMID33526789
PMCPMC7851401
OpenAlexW3127160369

What Socratic holds

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LicenceCC BY
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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 Socratic graph.