Evidence map›Paper›PMID 27876817›Full record

ArticleEuropean journal of human genetics : EJHG2017

A framework for the detection of de novo mutations in family-based sequencing data.

Laurent C Francioli, Mircea Cretu-Stancu, Kiran V Garimella, Menachem Fromer, Wigard P Kloosterman, Genome of the Netherlands consortium, Kaitlin E Samocha, Benjamin M Neale, Mark J Daly, Eric Banks and 2 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

20 citing papers in PubMed, 33 citations in OpenAlex.

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  17. Comparing complex variants in family trios.Bioinformatics (Oxford, England) · 2018
    Article
  18. Precise detection of de novo single nucleotide variants in human genomes.Proceedings of the National Academy of Sciences of the United States of America · 2018
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  19. Article
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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

12 authors at 3 institutions in 3 countries.

Laurent C FrancioliDepartment of Medical Genetics, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.
Mircea Cretu-StancuDepartment of Medical Genetics, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.
Kiran V GarimellaWellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford, UK.
Menachem FromerAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
Wigard P KloostermanDepartment of Medical Genetics, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.
Genome of the Netherlands consortium
Kaitlin E SamochaAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
Benjamin M NealeAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0003-1513-6077
Mark J DalyAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
Eric BanksProgram in Medical and Population Genetics, The Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Mark A DePristoProgram in Medical and Population Genetics, The Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Paul Iw de BakkerDepartment of Medical Genetics, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.
Broad Institute · USUniversity Medical Center Utrecht · NLCentre for Human Genetics · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Germline mutation detection from human DNA sequence data is challenging due to the rarity of such events relative to the intrinsic error rates of sequencing technologies and the uneven coverage across the genome. We developed PhaseByTransmission (PBT) to identify de novo single nucleotide variants and short insertions and deletions (indels) from sequence data collected in parent-offspring trios. We compute the joint probability of the data given the genotype likelihoods in the individual family members, the known familial relationships and a prior probability for the mutation rate. Candidate de novo mutations (DNMs) are reported along with their posterior probability, providing a systematic way to prioritize them for validation. Our tool is integrated in the Genome Analysis Toolkit and can be used together with the ReadBackedPhasing module to infer the parental origin of DNMs based on phase-informative reads. Using simulated data, we show that PBT outperforms existing tools, especially in low coverage data and on the X chromosome. We further show that PBT displays high validation rates on empirical parent-offspring sequencing data for whole-exome data from 104 trios and X-chromosome data from 249 parent-offspring families. Finally, we demonstrate an association between father's age at conception and the number of DNMs in female offspring's X chromosome, consistent with previous literature reports.

Indexed as

Germ-Line MutationPedigreePolymorphism, Single NucleotideSoftwareAdultChildChromosomes, Human, XExomeFemaleGenome-Wide Association StudyGenotypeHumansMaleModels, GeneticSequence Analysis, DNA

Identifiers

PMID27876817
PMCPMC5255947
OpenAlexW2556388096

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.