Development and evaluation of a transfusion medicine genome wide genotyping array

• Published in: Transfusion (Philadelphia, Pa.) Vol. 59; no. 1; pp. 101 - 111
• Main Authors: Guo, Yuelong, Busch, Michael P., Seielstad, Mark, Endres‐Dighe, Stacy, Westhoff, Connie M., Keating, Brendan, Hoppe, Carolyn, Bordbar, Aarash, Custer, Brian, Butterworth, Adam S., Kanias, Tamir, Mast, Alan E., Kleinman, Steve, Lu, Yontao, Page, Grier P.
• Format: Journal Article
• Language: English
• Published: United States Wiley Subscription Services, Inc 01-01-2019
• Subjects: Alleles; Arrays; Asian People; Bioinformatics; Black or African American; Blood groups; Computational Biology; Copy number; Gene clusters; Gene frequency; Gene Frequency - genetics; Gene polymorphism; Genetic diversity; Genetics; Genome, Human - genetics; Genome-Wide Association Study; Genomes; Genotype; Genotyping; Humans; Medicine; Polymorphism; Polymorphism, Single Nucleotide - genetics; Population studies; Populations; Serology; Single-nucleotide polymorphism; Transfusion; Transfusion Medicine - methods; White People
• ISSN: 0041-1132; 1537-2995
• DOI: 10.1111/trf.15012

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.