Literature DB >> 31490317

Banking with precision: transfusion medicine as a potential universal application in clinical genomics.

Celina Montemayor1, Patricia A R Brunker2,3, Margaret A Keller4.   

Abstract

PURPOSE OF REVIEW: To summarize the most recent scientific progress in transfusion medicine genomics and discuss its role within the broad genomic precision medicine model, with a focus on the unique computational and bioinformatic aspects of this emergent field. RECENT
FINDINGS: Recent publications continue to validate the feasibility of using next-generation sequencing (NGS) for blood group prediction with three distinct approaches: exome sequencing, whole genome sequencing, and PCR-based targeted NGS methods. The reported correlation of NGS with serologic and alternative genotyping methods ranges from 92 to 99%. NGS has demonstrated improved detection of weak antigens, structural changes, copy number variations, novel genomic variants, and microchimerism. Addition of a transfusion medicine interpretation to any clinically sequenced genome is proposed as a strategy to enhance the cost-effectiveness of precision genomic medicine. Interpretation of NGS in the blood group antigen context requires not only advanced immunohematology knowledge, but also specialized software and hardware resources, and a bioinformatics-trained workforce.
SUMMARY: Blood transfusions are a common inpatient procedure, making blood group genomics a promising facet of precision medicine research. Further efforts are needed to embrace transfusion bioinformatic challenges and evaluate its clinical utility.

Entities:  

Mesh:

Year:  2019        PMID: 31490317      PMCID: PMC7302862          DOI: 10.1097/MOH.0000000000000536

Source DB:  PubMed          Journal:  Curr Opin Hematol        ISSN: 1065-6251            Impact factor:   3.284


  43 in total

1.  Reproducible research in computational science.

Authors:  Roger D Peng
Journal:  Science       Date:  2011-12-02       Impact factor: 47.728

Review 2.  Blood group genotyping.

Authors:  Connie M Westhoff
Journal:  Blood       Date:  2019-02-26       Impact factor: 22.113

3.  Comprehensive blood group antigen profile predictions for Western Desert Indigenous Australians from whole exome sequence data.

Authors:  Elizna M Schoeman; Eileen V Roulis; Maree A Perry; Robert L Flower; Catherine A Hyland
Journal:  Transfusion       Date:  2018-12-06       Impact factor: 3.157

4.  1 in 38 individuals at risk of a dominant medically actionable disease.

Authors:  Lonneke Haer-Wigman; Vyne van der Schoot; Ilse Feenstra; Anneke T Vulto-van Silfhout; Christian Gilissen; Han G Brunner; Lisenka E L M Vissers; Helger G Yntema
Journal:  Eur J Hum Genet       Date:  2018-10-05       Impact factor: 4.246

5.  A Survey of Software and Hardware Approaches to Performing Read Alignment in Next Generation Sequencing.

Authors:  Ahmad Al Kawam; Sunil Khatri; Aniruddha Datta
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2016-06-29       Impact factor: 3.710

6.  Automated typing of red blood cell and platelet antigens: a whole-genome sequencing study.

Authors:  William J Lane; Connie M Westhoff; Nicholas S Gleadall; Maria Aguad; Robin Smeland-Wagman; Sunitha Vege; Daimon P Simmons; Helen H Mah; Matthew S Lebo; Klaudia Walter; Nicole Soranzo; Emanuele Di Angelantonio; John Danesh; David J Roberts; Nick A Watkins; Willem H Ouwehand; Adam S Butterworth; Richard M Kaufman; Heidi L Rehm; Leslie E Silberstein; Robert C Green
Journal:  Lancet Haematol       Date:  2018-05-17       Impact factor: 18.959

Review 7.  Cloud computing for genomic data analysis and collaboration.

Authors:  Ben Langmead; Abhinav Nellore
Journal:  Nat Rev Genet       Date:  2018-01-30       Impact factor: 53.242

8.  Big Data: Astronomical or Genomical?

Authors:  Zachary D Stephens; Skylar Y Lee; Faraz Faghri; Roy H Campbell; Chengxiang Zhai; Miles J Efron; Ravishankar Iyer; Michael C Schatz; Saurabh Sinha; Gene E Robinson
Journal:  PLoS Biol       Date:  2015-07-07       Impact factor: 8.029

Review 9.  Advancing Personalized Medicine Through the Application of Whole Exome Sequencing and Big Data Analytics.

Authors:  Pawel Suwinski; ChuangKee Ong; Maurice H T Ling; Yang Ming Poh; Asif M Khan; Hui San Ong
Journal:  Front Genet       Date:  2019-02-12       Impact factor: 4.599

10.  RH genotype matching for transfusion support in sickle cell disease.

Authors:  Stella T Chou; Perry Evans; Sunitha Vege; Sarita L Coleman; David F Friedman; Margaret Keller; Connie M Westhoff
Journal:  Blood       Date:  2018-07-19       Impact factor: 22.113

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  2 in total

Review 1.  Enabling Technologies for Personalized and Precision Medicine.

Authors:  Dean Ho; Stephen R Quake; Edward R B McCabe; Wee Joo Chng; Edward K Chow; Xianting Ding; Bruce D Gelb; Geoffrey S Ginsburg; Jason Hassenstab; Chih-Ming Ho; William C Mobley; Garry P Nolan; Steven T Rosen; Patrick Tan; Yun Yen; Ali Zarrinpar
Journal:  Trends Biotechnol       Date:  2020-01-21       Impact factor: 19.536

2.  Application of Different Ventilation Modes Combined with AutoFlow Technology in Thoracic Surgery.

Authors:  Wang Lixian; Yang Yanfang; Cui Chengzong; Jiang Ning; Guo Yufeng
Journal:  J Healthc Eng       Date:  2022-03-28       Impact factor: 2.682

  2 in total

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