Evidence map›Paper›PMID 23148716›Full record

ArticleBMC genomics2012

Pre-capture multiplexing improves efficiency and cost-effectiveness of targeted genomic enrichment.

A Eliot Shearer, Michael S Hildebrand, Harini Ravi, Swati Joshi, Angelica C Guiffre, Barbara Novak, Scott Happe, Emily M LeProust, Richard J H Smith

Abstract read
In one paragraph

Article in BMC genomics, 2012. 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
–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

13 citing papers in PubMed.

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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

9 authors.

A Eliot ShearerDepartment of Otolaryngology - Head & Neck Surgery, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA.
Michael S Hildebrand
Harini Ravi
Swati Joshi
Angelica C Guiffre
Barbara Novak
Scott Happe
Emily M LeProust
Richard J H Smith

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007337 · NIGMS · UNIVERSITY OF IOWA · PI GEYER, PAMELA K., LENTZ, STEVEN R · 1985 to 2020
$15.9M
NONSYNDROMIC HEARING LOSS--A COLLABORATIVE STUDYR01DC002842 · NIDCD · UNIVERSITY OF IOWA · PI SMITH, RICHARD J.H. · 1996 to 2024
$12.7M
Optimizing Genetic Testing for Deafness for Clinical DiagnosticsR01DC012049 · NIDCD · UNIVERSITY OF IOWA · PI TERRY A BRAUN, Thomas L. Casavant · 2011 to 2026
$8.7M
AUTOSOMAL DOMINANT NONSYNDROMIC HEARING LOSSR01DC003544 · NIDCD · UNIVERSITY OF IOWA · PI SMITH, RICHARD J.H. · 1998 to 2017
$7.8M
Genetic causes of hearing loss from the population to the molecular levelF30DC011674 · NIDCD · UNIVERSITY OF IOWA · PI SHEARER, AIDEN ELIOT · 2011 to 2013
$117k
NIDCD NIH HHS 1F30DC011674NIDCD NIH HHS F30 DC011674NIDCD NIH HHS R01 DC002842NIDCD NIH HHS R01 DC003544NIDCD NIH HHS R01 DC012049NIDCD NIH HHS R01S DC002842NIDCD NIH HHS R01S DC003544NIDCD NIH HHS R01S DC012049NIGMS NIH HHS T32 GM007337
6 · The paper itself

Abstract

backgroundTargeted genomic enrichment (TGE) is a widely used method for isolating and enriching specific genomic regions prior to massively parallel sequencing. To make effective use of sequencer output, barcoding and sample pooling (multiplexing) after TGE and prior to sequencing (post-capture multiplexing) has become routine. While previous reports have indicated that multiplexing prior to capture (pre-capture multiplexing) is feasible, no thorough examination of the effect of this method has been completed on a large number of samples. Here we compare standard post-capture TGE to two levels of pre-capture multiplexing: 12 or 16 samples per pool. We evaluated these methods using standard TGE metrics and determined the ability to identify several classes of genetic mutations in three sets of 96 samples, including 48 controls. Our overall goal was to maximize cost reduction and minimize experimental time while maintaining a high percentage of reads on target and a high depth of coverage at thresholds required for variant detection.

resultsWe adapted the standard post-capture TGE method for pre-capture TGE with several protocol modifications, including redesign of blocking oligonucleotides and optimization of enzymatic and amplification steps. Pre-capture multiplexing reduced costs for TGE by at least 38% and significantly reduced hands-on time during the TGE protocol. We found that pre-capture multiplexing reduced capture efficiency by 23 or 31% for pre-capture pools of 12 and 16, respectively. However efficiency losses at this step can be compensated by reducing the number of simultaneously sequenced samples. Pre-capture multiplexing and post-capture TGE performed similarly with respect to variant detection of positive control mutations. In addition, we detected no instances of sample switching due to aberrant barcode identification.

conclusionsPre-capture multiplexing improves efficiency of TGE experiments with respect to hands-on time and reagent use compared to standard post-capture TGE. A decrease in capture efficiency is observed when using pre-capture multiplexing; however, it does not negatively impact variant detection and can be accommodated by the experimental design.

Indexed as

Genome, HumanGenomicsCase-Control StudiesCost-Benefit AnalysisDNA Barcoding, TaxonomicHearing LossHigh-Throughput Nucleotide SequencingHumansMutationOligonucleotide Array Sequence AnalysisOligonucleotidesSequence Analysis, DNAOligonucleotides

Identifiers

PMID23148716
PMCPMC3534602

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.