Literature DB >> 23942198

Accurate molecular diagnosis of phenylketonuria and tetrahydrobiopterin-deficient hyperphenylalaninemias using high-throughput targeted sequencing.

Daniel Trujillano1, Belén Perez2, Justo González1, Cristian Tornador1, Rosa Navarrete2, Georgia Escaramis1, Stephan Ossowski3, Lluís Armengol4, Verónica Cornejo5, Lourdes R Desviat2, Magdalena Ugarte2, Xavier Estivill1.   

Abstract

Genetic diagnostics of phenylketonuria (PKU) and tetrahydrobiopterin (BH4) deficient hyperphenylalaninemia (BH4DH) rely on methods that scan for known mutations or on laborious molecular tools that use Sanger sequencing. We have implemented a novel and much more efficient strategy based on high-throughput multiplex-targeted resequencing of four genes (PAH, GCH1, PTS, and QDPR) that, when affected by loss-of-function mutations, cause PKU and BH4DH. We have validated this approach in a cohort of 95 samples with the previously known PAH, GCH1, PTS, and QDPR mutations and one control sample. Pooled barcoded DNA libraries were enriched using a custom NimbleGen SeqCap EZ Choice array and sequenced using a HiSeq2000 sequencer. The combination of several robust bioinformatics tools allowed us to detect all known pathogenic mutations (point mutations, short insertions/deletions, and large genomic rearrangements) in the 95 samples, without detecting spurious calls in these genes in the control sample. We then used the same capture assay in a discovery cohort of 11 uncharacterized HPA patients using a MiSeq sequencer. In addition, we report the precise characterization of the breakpoints of four genomic rearrangements in PAH, including a novel deletion of 899 bp in intron 3. Our study is a proof-of-principle that high-throughput-targeted resequencing is ready to substitute classical molecular methods to perform differential genetic diagnosis of hyperphenylalaninemias, allowing the establishment of specifically tailored treatments a few days after birth.

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Year:  2013        PMID: 23942198      PMCID: PMC3953903          DOI: 10.1038/ejhg.2013.175

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  20 in total

1.  SSAHA: a fast search method for large DNA databases.

Authors:  Z Ning; A J Cox; J C Mullikin
Journal:  Genome Res       Date:  2001-10       Impact factor: 9.043

2.  An international survey of patients with tetrahydrobiopterin deficiencies presenting with hyperphenylalaninaemia.

Authors:  Thomas Opladen; Georg F Hoffmann; Nenad Blau
Journal:  J Inherit Metab Dis       Date:  2012-06-23       Impact factor: 4.982

3.  Distribution and intensity of constraint in mammalian genomic sequence.

Authors:  Gregory M Cooper; Eric A Stone; George Asimenos; Eric D Green; Serafim Batzoglou; Arend Sidow
Journal:  Genome Res       Date:  2005-06-17       Impact factor: 9.043

Review 4.  Next-generation sequencing: from basic research to diagnostics.

Authors:  Karl V Voelkerding; Shale A Dames; Jacob D Durtschi
Journal:  Clin Chem       Date:  2009-02-26       Impact factor: 8.327

5.  Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm.

Authors:  Prateek Kumar; Steven Henikoff; Pauline C Ng
Journal:  Nat Protoc       Date:  2009-06-25       Impact factor: 13.491

6.  Identification of exonic deletions in the PAH gene causing phenylketonuria by MLPA analysis.

Authors:  Lourdes R Desviat; Belén Pérez; Magdalena Ugarte
Journal:  Clin Chim Acta       Date:  2006-05-12       Impact factor: 3.786

7.  Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes.

Authors:  Adam Siepel; Gill Bejerano; Jakob S Pedersen; Angie S Hinrichs; Minmei Hou; Kate Rosenbloom; Hiram Clawson; John Spieth; Ladeana W Hillier; Stephen Richards; George M Weinstock; Richard K Wilson; Richard A Gibbs; W James Kent; Webb Miller; David Haussler
Journal:  Genome Res       Date:  2005-07-15       Impact factor: 9.043

8.  Pindel: a pattern growth approach to detect break points of large deletions and medium sized insertions from paired-end short reads.

Authors:  Kai Ye; Marcel H Schulz; Quan Long; Rolf Apweiler; Zemin Ning
Journal:  Bioinformatics       Date:  2009-06-26       Impact factor: 6.937

9.  The Sequence Alignment/Map format and SAMtools.

Authors:  Heng Li; Bob Handsaker; Alec Wysoker; Tim Fennell; Jue Ruan; Nils Homer; Gabor Marth; Goncalo Abecasis; Richard Durbin
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10.  Fast and accurate short read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2009-05-18       Impact factor: 6.937

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  19 in total

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2.  Characterization of Phenyalanine Hydroxylase Gene Mutations in Chilean PKU Patients.

Authors:  V Hamilton; L Santa María; K Fuenzalida; P Morales; L R Desviat; M Ugarte; B Pérez; J F Cabello; V Cornejo
Journal:  JIMD Rep       Date:  2017-12-30

3.  The study of the full spectrum of variants leading to hyperphenylalaninemia have revealed 10 new variants in the PAH gene.

Authors:  I Kuznetcova; P Gundorova; O Ryzhkova; A Polyakov
Journal:  Metab Brain Dis       Date:  2019-07-22       Impact factor: 3.584

Review 4.  Genetic etiology and clinical challenges of phenylketonuria.

Authors:  Nasser A Elhawary; Imad A AlJahdali; Iman S Abumansour; Ezzeldin N Elhawary; Nagwa Gaboon; Mohammed Dandini; Abdulelah Madkhali; Wafaa Alosaimi; Abdulmajeed Alzahrani; Fawzia Aljohani; Ehab M Melibary; Osama A Kensara
Journal:  Hum Genomics       Date:  2022-07-19       Impact factor: 6.481

5.  Novel two-step derivation method for the synchronous analysis of inherited metabolic disorders using urine.

Authors:  Xiao-Qi Sheng; Yi-Chao Wang
Journal:  Exp Ther Med       Date:  2017-03-02       Impact factor: 2.447

Review 6.  The complete European guidelines on phenylketonuria: diagnosis and treatment.

Authors:  A M J van Wegberg; A MacDonald; K Ahring; A Bélanger-Quintana; N Blau; A M Bosch; A Burlina; J Campistol; F Feillet; M Giżewska; S C Huijbregts; S Kearney; V Leuzzi; F Maillot; A C Muntau; M van Rijn; F Trefz; J H Walter; F J van Spronsen
Journal:  Orphanet J Rare Dis       Date:  2017-10-12       Impact factor: 4.123

7.  Targeted Next Generation Sequencing in Patients with Inborn Errors of Metabolism.

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Journal:  PLoS One       Date:  2016-05-31       Impact factor: 3.240

8.  Massive parallel sequencing as a new diagnostic approach for phenylketonuria and tetrahydrobiopterin-deficiency in Thailand.

Authors:  Pongsathorn Chaiyasap; Chupong Ittiwut; Chalurmpon Srichomthong; Apiruk Sangsin; Kanya Suphapeetiporn; Vorasuk Shotelersuk
Journal:  BMC Med Genet       Date:  2017-09-16       Impact factor: 2.103

9.  Correlation between genotype and the tetrahydrobiopterin-responsive phenotype in Chinese patients with phenylketonuria.

Authors:  Jing Tao; Nana Li; Haitao Jia; Zhen Liu; Xiaohong Li; Jiaping Song; Ying Deng; Xi Jin; Jun Zhu
Journal:  Pediatr Res       Date:  2015-08-31       Impact factor: 3.756

10.  Network Diffusion-Based Prioritization of Autism Risk Genes Identifies Significantly Connected Gene Modules.

Authors:  Ettore Mosca; Matteo Bersanelli; Matteo Gnocchi; Marco Moscatelli; Gastone Castellani; Luciano Milanesi; Alessandra Mezzelani
Journal:  Front Genet       Date:  2017-09-25       Impact factor: 4.599

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