Evidence map›Paper›PMID 29101320›Full record

ArticleNature communications2017

Dense and accurate whole-chromosome haplotyping of individual genomes.

David Porubsky, Shilpa Garg, Ashley D Sanders, Jan O Korbel, Victor Guryev, Peter M Lansdorp, Tobias Marschall

Abstract read
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing 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

67 citing papers in PubMed.

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7 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

7 authors.

David PorubskyEuropean Research Institute for the Biology of Ageing, University Medical Center Groningen, University of Groningen, Building 3226, 9713 AV, Groningen, The Netherlands.
Shilpa GargCenter for Bioinformatics, Saarland University, Saarland Informatics Campus E2.1, 66123, Saarbrücken, Germany.
Ashley D SandersEuropean Molecular Biology Laboratory (EMBL), Genome Biology Unit, Meyerhofstraße 1, 69117, Heidelberg, Germany.
Jan O KorbelEuropean Molecular Biology Laboratory (EMBL), Genome Biology Unit, Meyerhofstraße 1, 69117, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-2798-3794
Victor GuryevEuropean Research Institute for the Biology of Ageing, University Medical Center Groningen, University of Groningen, Building 3226, 9713 AV, Groningen, The Netherlands.
Peter M LansdorpEuropean Research Institute for the Biology of Ageing, University Medical Center Groningen, University of Groningen, Building 3226, 9713 AV, Groningen, The Netherlands.
Tobias MarschallCenter for Bioinformatics, Saarland University, Saarland Informatics Campus E2.1, 66123, Saarbrücken, Germany. t.marschall@mpi-inf.mpg.de.ORCID http://orcid.org/0000-0002-9376-1030

Funding

An Integrative Analysis of Structural Variation for the 1000 Genomes ProjectU41HG007497 · NHGRI · JACKSON LABORATORY · PI LEE, CHARLES · 2013 to 2017
$13.0M
NHGRI NIH HHS U41 HG007497
6 · The paper itself

Abstract

The diploid nature of the human genome is neglected in many analyses done today, where a genome is perceived as a set of unphased variants with respect to a reference genome. This lack of haplotype-level analyses can be explained by a lack of methods that can produce dense and accurate chromosome-length haplotypes at reasonable costs. Here we introduce an integrative phasing strategy that combines global, but sparse haplotypes obtained from strand-specific single-cell sequencing (Strand-seq) with dense, yet local, haplotype information available through long-read or linked-read sequencing. We provide comprehensive guidance on the required sequencing depths and reliably assign more than 95% of alleles (NA12878) to their parental haplotypes using as few as 10 Strand-seq libraries in combination with 10-fold coverage PacBio data or, alternatively, 10X Genomics linked-read sequencing data. We conclude that the combination of Strand-seq with different technologies represents an attractive solution to chart the genetic variation of diploid genomes.

Indexed as

Genome, HumanHaplotypesAllelesChromosomes, HumanDiploidyGene LibraryGenetic VariationGenomicsHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNA

Identifiers

PMID29101320
PMCPMC5670131

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Registered trials

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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.