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Targeted Next‐Generation Sequencing on Hirschsprung Disease: A Pilot Study Exploits DNA Pooling
Author(s) -
Gui Hongsheng,
Bao Jessie Yunjuan,
Tang Clara SzeMan,
So ManTing,
Ngo DiemNgoc,
Tran AnhQuynh,
Bui DucHau,
Pham DuyHien,
Nguyen ThanhLiem,
Tong Amy,
Lok Si,
Sham PakChung,
Tam Paul KwongHang,
Cherny Stacey S.,
GarciaBarcelo MariaMercè
Publication year - 2014
Publication title -
annals of human genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.537
H-Index - 77
eISSN - 1469-1809
pISSN - 0003-4800
DOI - 10.1111/ahg.12076
Subject(s) - sanger sequencing , dna sequencing , biology , pooling , computational biology , genetics , gene , computer science , artificial intelligence
Summary To adopt an efficient approach of identifying rare variants possibly related to Hirschsprung disease (HSCR), a pilot study was set up to evaluate the performance of a newly designed protocol for next generation targeted resquencing. In total, 20 Chinese HSCR patients and 20 Chinese sex‐matched individuals with no HSCR were included, for which coding sequences (CDS) of 62 genes known to be in signaling pathways relevant to enteric nervous system development were selected for capture and sequencing. Blood DNAs from eight pools of five cases or controls were enriched by PCR‐based RainDance technology (RDT) and then sequenced on a 454 FLX platform. As technical validation, five patients from case Pool‐3 were also independently enriched by RDT, indexed with barcode and sequenced with sufficient coverage. Assessment for CDS single nucleotide variants showed DNA pooling performed well (specificity/sensitivity at 98.4%/83.7%) at the common variant level; but relatively worse (specificity/sensitivity at 65.5%/61.3%) at the rare variant level. Further Sanger sequencing only validated five out of 12 rare damaging variants likely involved in HSCR. Hence more improvement at variant detection and sequencing technology is needed to realize the potential of DNA pooling for large‐scale resequencing projects.