Evidence map›Paper›PMID 21855840›Full record

ArticleAmerican journal of human genetics2011

Chromosomal haplotypes by genetic phasing of human families.

Jared C Roach, Gustavo Glusman, Robert Hubley, Stephen Z Montsaroff, Alisha K Holloway, Denise E Mauldin, Deepak Srivastava, Vidu Garg, Katherine S Pollard, David J Galas and 2 more

Abstract read
In one paragraph

Article in American journal of human genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

42 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. NAR genomics and bioinformatics · 2020
    Article
  11. Article
  12. Article
  13. A New Fast Phasing Method Based On Haplotype Subtraction.The Journal of molecular diagnostics : JMD · 2019
    Article
  14. Article
  15. Article
  16. Read-based phasing of related individuals.Bioinformatics (Oxford, England) · 2016
    Article
  17. Article
  18. Article
  19. Article
  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

12 authors.

Jared C RoachInstitute for Systems Biology, Seattle, WA 98109, USA.
Gustavo Glusman
Robert Hubley
Stephen Z Montsaroff
Alisha K Holloway
Denise E Mauldin
Deepak Srivastava
Vidu Garg
Katherine S Pollard
David J Galas
Leroy Hood
Arian F A Smit

Funding

Quantitative Systems BiologyP50GM076547 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI BALIGA, NITIN S · 2006 to 2016
$30.6M
Further development of the FEAST software, and its use for novel gene predictionsR01GM081083 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI SMIT, ARIAN FREDERICUS ANTHONIUS · 2007 to 2009
$1.2M
NIGMS NIH HHS P50 GM076547NIGMS NIH HHS R01 GM081083
6 · The paper itself

Abstract

Assignment of alleles to haplotypes for nearly all the variants on all chromosomes can be performed by genetic analysis of a nuclear family with three or more children. Whole-genome sequence data enable deterministic phasing of nearly all sequenced alleles by permitting assignment of recombinations to precise chromosomal positions and specific meioses. We demonstrate this process of genetic phasing on two families each with four children. We generate haplotypes for all of the children and their parents; these haplotypes span all genotyped positions, including rare variants. Misassignments of phase between variants (switch errors) are nearly absent. Our algorithm can also produce multimegabase haplotypes for nuclear families with just two children and can handle families with missing individuals. We implement our algorithm in a suite of software scripts (Haploscribe). Haplotypes and family genome sequences will become increasingly important for personalized medicine and for fundamental biology.

Indexed as

AlgorithmsGenetic VariationModels, GeneticSoftwareChromosomes, HumanHaplotypesHumansInheritance PatternsMutationPedigreeSequence Analysis, DNA

Identifiers

PMID21855840
PMCPMC3169815

What OpenQuestion holds

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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 OpenQuestion graph.