Literature DB >> 30456907

Development and evaluation of a transfusion medicine genome wide genotyping array.

Yuelong Guo1, Michael P Busch2,3, Mark Seielstad2,3, Stacy Endres-Dighe4, Connie M Westhoff5, Brendan Keating6, Carolyn Hoppe7, Aarash Bordbar8, Brian Custer3, Adam S Butterworth9,10, Tamir Kanias11,12, Alan E Mast13,14, Steve Kleinman15, Yontao Lu16, Grier P Page17.   

Abstract

BACKGROUND: Many aspects of transfusion medicine are affected by genetics. Current single-nucleotide polymorphism (SNP) arrays are limited in the number of targets that can be interrogated and cannot detect all variation of interest. We designed a transfusion medicine array (TM-Array) for study of both common and rare transfusion-relevant variations in genetically diverse donor and recipient populations. STUDY DESIGN AND METHODS: The array was designed by conducting extensive bioinformatics mining and consulting experts to identify genes and genetic variation related to a wide range of transfusion medicine clinical relevant and research-related topics. Copy number polymorphisms were added in the alpha globin, beta globin, and Rh gene clusters.
RESULTS: The final array contains approximately 879,000 SNP and copy number polymorphism markers. Over 99% of SNPs were called reliably. Technical replication showed the array to be robust and reproducible, with an error rate less than 0.03%. The array also had a very low Mendelian error rate (average parent-child trio accuracy of 0.9997). Blood group results were in concordance with serology testing results, and the array accurately identifies rare variants (minor allele frequency of 0.5%). The array achieved high genome-wide imputation coverage for African-American (97.5%), Hispanic (96.1%), East Asian (94.6%), and white (96.1%) genomes at a minor allele frequency of 5%.
CONCLUSIONS: A custom array for transfusion medicine research has been designed and evaluated. It gives wide coverage and accurate identification of rare SNPs in diverse populations. The TM-Array will be useful for future genetic studies in the diverse fields of transfusion medicine research.
© 2018 AABB.

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Year:  2018        PMID: 30456907      PMCID: PMC7032526          DOI: 10.1111/trf.15012

Source DB:  PubMed          Journal:  Transfusion        ISSN: 0041-1132            Impact factor:   3.157


  53 in total

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Journal:  Br J Haematol       Date:  2018-07-19       Impact factor: 6.998

6.  Genetic aspects of the blood transfusion effect.

Authors:  W N Peugh; K J Wood; P J Morris
Journal:  Transplantation       Date:  1988-09       Impact factor: 4.939

7.  The Val34Leu polymorphism in the A subunit of coagulation factor XIII contributes to the large normal range in activity and demonstrates that the activation peptide plays a role in catalytic activity.

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8.  The IPD and IMGT/HLA database: allele variant databases.

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10.  A flexible and accurate genotype imputation method for the next generation of genome-wide association studies.

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