Logo image
Pre-capture multiplexing improves efficiency and cost-effectiveness of targeted genomic enrichment
Journal article   Open access   Peer reviewed

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 and Richard JH Smith
BMC genomics, Vol.13(1), pp.618-618
11/14/2012
DOI: 10.1186/1471-2164-13-618
PMCID: PMC3534602
PMID: 23148716
url
https://doi.org/10.1186/1471-2164-13-618View
Published (Version of record) Open Access

Abstract

Background: Targeted 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. Results: We 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. Conclusions: Pre-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.
Genomics Massively parallel sequencing Targeted genomic enrichment Next-generation sequencing Pre-capture multiplexing Post-capture multiplexing Sequence capture Indexing

Details

Metrics

Logo image