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Blood Typing

Blood Typing

Understanding an individual's blood group is a critical component of transfusion medicine. It ensures compatibility in blood transfusions, organ transplants, and even during pregnancy. Determining these blood groups involves the ABO and Rh blood typing systems, utilizing specific antigens and corresponding anti-sera to identify an individual's blood type.
Antigens are protein molecules that reside on the surface of red blood cells (RBCs). The ABO and Rh blood typing systems target...

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Related Experiment Video

Updated: Apr 14, 2026

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq

Published on: October 5, 2018

BOOGIE: Predicting Blood Groups from High Throughput Sequencing Data.

Manuel Giollo¹, Giovanni Minervini², Marta Scalzotto²

¹Department of Biomedical Sciences, University of Padova, Viale G. Colombo 3, 35131 Padova, Italy; Department of Information Engineering, University of Padova, Via Gradenigo 6, 35121 Padova, Italy.

|April 21, 2015

Summary

This summary is machine-generated.

BOOGIE accurately predicts 30 blood groups from genotype data using single nucleotide variant databases. This advancement in blood typing from high throughput sequencing data aids personalized medicine and clinical practice.

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Last Updated: Apr 14, 2026

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Area of Science:

Genomics
Bioinformatics
Medical Genetics

Background:

High throughput sequencing (HTS) generates vast genotype data, enabling phenotype prediction for personalized medicine.
Blood phenotypes, like ABO and Rh, are genetic traits with over thirty known groups, crucial for clinical practice.

Purpose of the Study:

To develop a fast predictor, BOOGIE, for inferring blood groups from single nucleotide variant (SNV) databases.
To accurately predict thirty diverse blood groups, including common and less-studied ones.

Main Methods:

Utilized single nucleotide variant (SNV) databases for blood group prediction.
Developed and applied the BOOGIE prediction tool.

Main Results:

Achieved 94% accuracy in predicting blood groups from Personal Genome Project whole genome profiles.
Generated high-quality haplotype phasing, useful for ethnicity-specific polymorphism studies.

Conclusions:

BOOGIE offers a versatile and simple method for blood group prediction from HTS data.
The tool facilitates accurate blood typing and has potential for extension to other phenotypes.