Evidence map›Paper›PMID 19447964›Full record

ArticleGenome research2009

Overlapping pools for high-throughput targeted resequencing.

Snehit Prabhu, Itsik Pe'er

Abstract read
In one paragraph

Article in Genome research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Assessing risk for Mendelian disorders in a Bronx population.Molecular genetics & genomic medicine · 2017
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. eALPS: estimating abundance levels in pooled sequencing using available genotyping data.Journal of computational biology : a journal of computational molecular cell biology · 2013
    Article
  13. Estimating population size via line graph reconstruction.Algorithms for molecular biology : AMB · 2013
    Article
  14. Article
  15. Article
  16. Article
  17. Construction of a rationally designed antibody platform for sequencing-assisted selection.Proceedings of the National Academy of Sciences of the United States of America · 2012
    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

2 authors.

Snehit PrabhuDepartment of Computer Science, Columbia University, New York, New York 10025, USA. snehitp@columbia.edu
Itsik Pe'er

Funding

Nation Center: Multi-Scale Study- Cellular Networks(RMI)U54CA121852 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2005 to 2015
$37.4M
NCI NIH HHS 5 U54 CA121852NCI NIH HHS U54 CA121852
6 · The paper itself

Abstract

Resequencing genomic DNA from pools of individuals is an effective strategy to detect new variants in targeted regions and compare them between cases and controls. There are numerous ways to assign individuals to the pools on which they are to be sequenced. The naïve, disjoint pooling scheme (many individuals to one pool) in predominant use today offers insight into allele frequencies, but does not offer the identity of an allele carrier. We present a framework for overlapping pool design, where each individual sample is resequenced in several pools (many individuals to many pools). Upon discovering a variant, the set of pools where this variant is observed reveals the identity of its carrier. We formalize the mathematical framework for such pool designs and list the requirements from such designs. We specifically address three practical concerns for pooled resequencing designs: (1) false-positives due to errors introduced during amplification and sequencing; (2) false-negatives due to undersampling particular alleles aggravated by nonuniform coverage; and consequently, (3) ambiguous identification of individual carriers in the presence of errors. We build on theory of error-correcting codes to design pools that overcome these pitfalls. We show that in practical parameters of resequencing studies, our designs guarantee high probability of unambiguous singleton carrier identification while maintaining the features of naïve pools in terms of sensitivity, specificity, and the ability to estimate allele frequencies. We demonstrate the ability of our designs in extracting rare variations using short read data from the 1000 Genomes Pilot 3 project.

Indexed as

Gene PoolAlgorithmsComputer SimulationDNAGenetic VariationHumansSequence Analysis, DNADNA

Identifiers

PMID19447964
PMCPMC2704440

What OpenQuestion holds

Textmetadata
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.