Literature DB >> 32110191

Defining Blood Group Gene Reference Alleles by Long-Read Sequencing: Proof of Concept in the ACKR1 Gene Encoding the Duffy Antigens.

Yann Fichou1,2, Isabelle Berlivet1, Gaëlle Richard1, Christophe Tournamille2,3, Lilian Castilho4, Claude Férec1,5.   

Abstract

BACKGROUND: In the novel era of blood group genomics, (re-)defining reference gene/allele sequences of blood group genes has become an important goal to achieve, both for diagnostic and research purposes. As novel potent sequencing technologies are available, we thought to investigate the variability encountered in the three most common alleles of ACKR1, the gene encoding the clinically relevant Duffy antigens, at the haplotype level by a long-read sequencing approach.
MATERIALS AND METHODS: After long-range PCR amplification spanning the whole ACKR1 gene locus (∼2.5 kilobases), amplicons generated from 81 samples with known genotypes were sequenced in a single read by using the Pacific Biosciences (PacBio) single molecule, real-time (SMRT) sequencing technology.
RESULTS: High-quality sequencing reads were obtained for the 162 alleles (accuracy >0.999). Twenty-two nucleotide variations reported in databases were identified, defining 19 haplotypes: four, eight, and seven haplotypes in 46 ACKR1*01, 63 ACKR1*02, and 53 ACKR1*02N.01 alleles, respectively. DISCUSSION: Overall, we have defined a subset of reference alleles by third-generation (long-read) sequencing. This technology, which provides a "longitudinal" overview of the loci of interest (several thousand base pairs) and is complementary to the second-generation (short-read) next-generation sequencing technology, is of critical interest for resolving novel, rare, and null alleles.
Copyright © 2019 by S. Karger AG, Basel.

Entities:  

Keywords:  ACKR1; Alleles; Blood group gene; Duffy; Haplotype; Long-read sequencing

Year:  2019        PMID: 32110191      PMCID: PMC7036534          DOI: 10.1159/000504584

Source DB:  PubMed          Journal:  Transfus Med Hemother        ISSN: 1660-3796            Impact factor:   3.747


  57 in total

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Authors:  K Neote; J Y Mak; L F Kolakowski; T J Schall
Journal:  Blood       Date:  1994-07-01       Impact factor: 22.113

2.  Influence of pre-analytical procedures on genomic DNA integrity in blood samples: the SPIDIA experience.

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3.  High-resolution melting analysis for genotyping Duffy blood group antigens.

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4.  Unified representation of genetic variants.

Authors:  Adrian Tan; Gonçalo R Abecasis; Hyun Min Kang
Journal:  Bioinformatics       Date:  2015-02-19       Impact factor: 6.937

Review 5.  Developments beyond blood group serology in the genomics era.

Authors:  Catherine A Hyland; Eileen V Roulis; Elizna M Schoeman
Journal:  Br J Haematol       Date:  2019-02-01       Impact factor: 6.998

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Authors:  William J Lane; Maria Aguad; Robin Smeland-Wagman; Sunitha Vege; Helen H Mah; Abigail Joseph; Carrie L Blout; Tiffany T Nguyen; Matthew S Lebo; Manpreet Sidhu; Christine Lomas-Francis; Richard M Kaufman; Robert C Green; Connie M Westhoff
Journal:  Transfusion       Date:  2018-12-28       Impact factor: 3.157

7.  Disruption of a GATA1-binding motif upstream of XG/PBDX abolishes Xga expression and resolves the Xg blood group system.

Authors:  Mattias Möller; Yan Quan Lee; Karina Vidovic; Sven Kjellström; Linda Björkman; Jill R Storry; Martin L Olsson
Journal:  Blood       Date:  2018-05-10       Impact factor: 22.113

8.  Duffy blood group genotyping in Thai blood donors.

Authors:  Oytip Nathalang; Kamphon Intharanut; Kanokpol Siriphanthong; Siriporn Nathalang; Pawinee Kupatawintu
Journal:  Ann Lab Med       Date:  2015-11       Impact factor: 3.464

9.  ThermoAlign: a genome-aware primer design tool for tiled amplicon resequencing.

Authors:  Felix Francis; Michael D Dumas; Randall J Wisser
Journal:  Sci Rep       Date:  2017-03-16       Impact factor: 4.379

10.  SMIM1 underlies the Vel blood group and influences red blood cell traits.

Authors:  Ana Cvejic; Lonneke Haer-Wigman; Jonathan C Stephens; Pim van der Harst; C Ellen van der Schoot; Willem H Ouwehand; Cornelis A Albers; Myrto Kostadima; Peter A Smethurst; Mattia Frontini; Emile van den Akker; Paul Bertone; Ewa Bielczyk-Maczyńska; Samantha Farrow; Rudolf Sn Fehrmann; Alan Gray; Masja de Haas; Vincent G Haver; Gregory Jordan; Juha Karjalainen; Hindrik Hd Kerstens; Graham Kiddle; Heather Lloyd-Jones; Malcolm Needs; Joyce Poole; Aicha Ait Soussan; Augusto Rendon; Klaus Rieneck; Jennifer G Sambrook; Hein Schepers; Herman H W Silljé; Botond Sipos; Dorine Swinkels; Asif U Tamuri; Niek Verweij; Nicholas A Watkins; Harm-Jan Westra; Derek Stemple; Lude Franke; Nicole Soranzo; Hendrik G Stunnenberg; Nick Goldman
Journal:  Nat Genet       Date:  2013-04-07       Impact factor: 38.330

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  1 in total

1.  ACKR1 Alleles at 5.6 kb in a Well-Characterized Renewable US Food and Drug Administration (FDA) Reference Panel for Standardization of Blood Group Genotyping.

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Journal:  J Mol Diagn       Date:  2020-07-17       Impact factor: 5.568

  1 in total

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