Literature DB >> 32871036

RH genotyping by nonspecific quantitative next-generation sequencing.

Marianne Stef1, Katie Fennell1, Izaskun Apraiz2, David Arteta2, Cecilia González3, Nuria Nogués3, Gorka Ochoa-Garay1.   

Abstract

BACKGROUND: Conventional sequencing uses gene-specific primers to determine the location of RH variants and permits a qualitative assessment of zygosity. Whole-genome and whole-exome sequencing determine the genetic location of variants and enable a quantitative assessment of zygosity. Nonspecific sequencing uses RH-consensus primers to detect variants and sequencing-read ratios to quantify their copy number. STUDY DESIGN AND METHODS: Two hundred seventy eight samples with diverse genotypes were analyzed by next-generation sequencing with RH- consensus primers. Custom-developed data analysis software was used to detect individual variants and infer the RH genotype. The method was evaluated for its quantitative nature, its ability to discriminate similar genotypes, its accuracy to detect variants, and its accuracy to assign them to RHD or RHCE.
RESULTS: As a measure of balanced amplification of RHD and RHCE sequences, observed ratio medians deviate from expected ratios by 3% or less of the ratio range. As a measure of discriminatory power, contiguous RHCE / [RHD + RHCE] ratio averages are separated by 4 or more standard deviations of the mean. Variants are detected with a sensitivity and specificity greater than 99%, and variants at consensus positions are correctly assigned to RHD vs RHCE with a sensitivity greater than 72% and a specificity greater than 99%. The method is successful in the identification of genotypes with large conversion events and in the detection of copy number variation.
CONCLUSION: Nonspecific sequencing of homologous gene sets combines detection and quantification of genetic variation in a single assay. Evidence is provided for the quantitative nature of the method, its sensitivity and specificity, and its ability to identify complex RH genotypes.
© 2020 AABB.

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Year:  2020        PMID: 32871036     DOI: 10.1111/trf.16034

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


  2 in total

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Authors:  France Pirenne; Aline Floch; Anoosha Habibi
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2021-12-10

2.  The Significance of RHD Genotyping and Characteristic Analysis in Chinese RhD Variant Individuals.

Authors:  Yanling Ying; Jingjing Zhang; Xiaozhen Hong; Xianguo Xu; Ji He; Faming Zhu
Journal:  Front Immunol       Date:  2021-11-12       Impact factor: 7.561

  2 in total

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