Evidence map›Paper›PMID 21738606›Full record

ArticlePloS one2011

A flexible approach for highly multiplexed candidate gene targeted resequencing.

Georges Natsoulis, John M Bell, Hua Xu, Jason D Buenrostro, Heather Ordonez, Susan Grimes, Daniel Newburger, Michael Jensen, Jacob M Zahn, Nancy Zhang and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 15 citations in OpenAlex.

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  7. Tracking and coordinating an international curation effort for the CCDS Project.Database : the journal of biological databases and curation · 2012
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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

11 authors at 1 institution in 1 country.

Georges NatsoulisDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, California, United States of America.
John M Bell
Hua Xu
Jason D Buenrostro
Heather Ordonez
Susan Grimes
Daniel Newburger
Michael Jensen
Jacob M Zahn
Nancy Zhang
Hanlee P Ji
Stanford University · US

Funding

WHOLE YEAST GENOME TRANSCRIPTIONAL AND FUNCTIONAL GENE MAPS--A FEASIBILITY STUDYP01HG000205 · NHGRI · STANFORD UNIVERSITY · PI HOWE, ROGER THOMAS, JI, HANLEE P · 1990 to 2016
$120.9M
POSTDOCTORAL TRAINING IN MEDICAL INFORMATION SCIENCEST15LM007033 · NLM · STANFORD UNIVERSITY · PI SYLVIA KATINA PLEVRITIS · 1985 to 2026
$25.5M
Proteomics/GenomicsP30DK056339 · NIDDK · STANFORD UNIVERSITY · PI GREENBERG, HARRY BERNARD · 2001 to 2010
$10.4M
Statistical Models for Genome Sequencing and AssociationR01HG006137 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI JI, HANLEE P, ZHANG, NANCY R · 2011 to 2022
$4.3M
A Strategy for High Quality Clinical Resequencing of the Human GenomeRC2HG005570 · NHGRI · STANFORD UNIVERSITY · PI DAVIS, RONALD WAYNE · 2009 to 2010
$2.8M
Genetics/microsatellite instability in tumor suppressorsK08CA096879 · NCI · STANFORD UNIVERSITY · PI JI, HANLEE · 2002 to 2007
$614k
Development of Selectors for Cancer Mutation AnalysisR21CA128485 · NCI · STANFORD UNIVERSITY · PI DAVIS, RONALD WAYNE · 2007 to 2008
$434k
Howard Hughes Medical InstituteNCI NIH HHS 5K08CA96879-6NCI NIH HHS K08 CA096879NCI NIH HHS R21CA12848NCI NIH HHS R21 CA128485NHGRI NIH HHS 2P01HG000205NHGRI NIH HHS P01 HG000205NHGRI NIH HHS R01 HG006137NHGRI NIH HHS RC2 HG005570NHGRI NIH HHS RC2 HG005570-01NIDDK NIH HHS DK56339NIDDK NIH HHS P30 DK056339NLM NIH HHS T15 LM007033
6 · The paper itself

Abstract

We have developed an integrated strategy for targeted resequencing and analysis of gene subsets from the human exome for variants. Our capture technology is geared towards resequencing gene subsets substantially larger than can be done efficiently with simplex or multiplex PCR but smaller in scale than exome sequencing. We describe all the steps from the initial capture assay to single nucleotide variant (SNV) discovery. The capture methodology uses in-solution 80-mer oligonucleotides. To provide optimal flexibility in choosing human gene targets, we designed an in silico set of oligonucleotides, the Human OligoExome, that covers the gene exons annotated by the Consensus Coding Sequencing Project (CCDS). This resource is openly available as an Internet accessible database where one can download capture oligonucleotides sequences for any CCDS gene and design custom capture assays. Using this resource, we demonstrated the flexibility of this assay by custom designing capture assays ranging from 10 to over 100 gene targets with total capture sizes from over 100 Kilobases to nearly one Megabase. We established a method to reduce capture variability and incorporated indexing schemes to increase sample throughput. Our approach has multiple applications that include but are not limited to population targeted resequencing studies of specific gene subsets, validation of variants discovered in whole genome sequencing surveys and possible diagnostic analysis of disease gene subsets. We also present a cost analysis demonstrating its cost-effectiveness for large population studies.

Indexed as

Computational BiologyExonsGenome, HumanHumansMultiplex Polymerase Chain ReactionPolymerase Chain ReactionSequence Analysis, DNA

Identifiers

PMID21738606
PMCPMC3127857
OpenAlexW1988491810

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.