Your browser doesn't support javascript.
loading
Development and evaluation of a transfusion medicine genome wide genotyping array.
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.
Afiliação
  • Guo Y; RTI International, Research Triangle Park, North Carolina.
  • Busch MP; Vitalant Research Institute (formerly Blood Systems Research Institute), San Francisco, California.
  • Seielstad M; Department of Laboratory Medicine, University of California San Francisco, San Francisco, California.
  • Endres-Dighe S; Vitalant Research Institute (formerly Blood Systems Research Institute), San Francisco, California.
  • Westhoff CM; Department of Laboratory Medicine, University of California San Francisco, San Francisco, California.
  • Keating B; RTI International, Rockville, Maryland.
  • Hoppe C; New York Blood Center, New York, New York.
  • Bordbar A; Penn Transplant Institute, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
  • Custer B; UCSF Benioff Children's Hospital Oakland, Oakland, California.
  • Butterworth AS; Sinopia Biosciences, San Diego, California.
  • Kanias T; Department of Laboratory Medicine, University of California San Francisco, San Francisco, California.
  • Mast AE; MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Kleinman S; NIHR Blood and Transplant Unit in Donor Health and Genomics, University of Cambridge, Cambridge, UK.
  • Lu Y; Pittsburgh Heart, Lung, Blood, and Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, Pennsylvania.
  • Page GP; Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Transfusion ; 59(1): 101-111, 2019 01.
Article em En | MEDLINE | ID: mdl-30456907
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genoma Humano / Medicina Transfusional Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genoma Humano / Medicina Transfusional Idioma: En Ano de publicação: 2019 Tipo de documento: Article