Evidence map›Paper›PMID 27307622›Full record

ArticleBioinformatics (Oxford, England)2016

Read-based phasing of related individuals.

Shilpa Garg, Marcel Martin, Tobias Marschall

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Methods for Chromosome-Scale Haplotype Reconstruction.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  11. Article
  12. Characterizing the rates and patterns ofbioRxiv : the preprint server for biology · 2024
    Article
  13. Article
  14. Article
  15. Read-Based Phasing and Analysis of Phased Variants with WhatsHap.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  16. Article
  17. Article
  18. Chromosome-Level Haplotype Assembly forFrontiers in genetics · 2022
    Article
  19. Review
  20. Article
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

3 authors.

Shilpa GargCenter for Bioinformatics, Saarland University, Saarbrücken, Germany Max Planck Institute for Informatics, Saarbrücken, Germany Saarbrücken Graduate School of Computer Science, Saarland University, Saarbrücken, Germany.
Marcel MartinScience for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, SE-17121 Solna, Sweden.
Tobias MarschallCenter for Bioinformatics, Saarland University, Saarbrücken, Germany Max Planck Institute for Informatics, Saarbrücken, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationRead-based phasing deduces the haplotypes of an individual from sequencing reads that cover multiple variants, while genetic phasing takes only genotypes as input and applies the rules of Mendelian inheritance to infer haplotypes within a pedigree of individuals. Combining both into an approach that uses these two independent sources of information-reads and pedigree-has the potential to deliver results better than each individually.

resultsWe provide a theoretical framework combining read-based phasing with genetic haplotyping, and describe a fixed-parameter algorithm and its implementation for finding an optimal solution. We show that leveraging reads of related individuals jointly in this way yields more phased variants and at a higher accuracy than when phased separately, both in simulated and real data. Coverages as low as 2× for each member of a trio yield haplotypes that are as accurate as when analyzed separately at 15× coverage per individual. AVAILABILITY AND IMPLEMENTATION: https://bitbucket.org/whatshap/whatshap CONTACT: t.marschall@mpi-inf.mpg.de.

Indexed as

AlgorithmsGenotypeHaplotypesPedigreePolymorphism, Single NucleotideSequence Analysis, DNA

Identifiers

PMID27307622
PMCPMC4908360

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.