New era for blood transfusions through genome sequencing

"Blood transfusion complications are common in patients needing chronic transfusion, but with current technology it is not cost effective to do blood typing for all antigens," said first author William Lane, MD, PhD, director of Clinical Laboratory Informatics and assistant director of the Tissue Typing Laboratory in the BWH Department of Pathology. "But the algorithm we have developed can be applied to type everyone for all relevant blood groups at a low cost once sequencing is obtained."

Blood transfusions are one of the most common procedures in medicine with more than 11 million units of blood transfused in the U.S. each year. Complications from blood transfusions can be life-threatening. When the body encounters foreign antigens on the donor cells, it can stimulate production of antibodies that can destroy the transfused donor cells. From birth, people have antibodies unique to their ABO blood type, but other antibodies against specific blood antigens can be stimulated during pregnancy from exposure to fetal cells or exposure to donor cells when receiving multiple blood transfusions.

"This approach has the potential to be one of the first routine clinical uses of genomics for medical care for patients needing blood transfusion," said co-first author Connie M. Westhoff, PhD, at the New York Blood Center. "It could prevent serious or even fatal complications because once patients are sensitized they have a life-long risk of hemolytic transfusion reactions if blood transfusion is needed in an emergency."

Today, most testing for blood donors and patients include only ABO and Rh matching, but more than 300 red blood cell antigens and 33 platelet antigens are known. To create a way to cost-effectively type many people for these antigens, Lane teamed up with scientists directing the MedSeq Project and experts in blood group genetics at the New York Blood Center to build a database and develop a computer software algorithm, known as bloodTyper, that could rapidly and accurately predict an individual's blood group antigen profile from genomic sequences. Lane, Westhoff and colleagues validated the software by comparing it to traditional, and more labor-intensive, methods. bloodTyper was more than 99 percent accurate when typing from the MedSeq Project participants' genomes. Lane notes that this work would not have been possible without access to samples from the MedSeq Project, and close collaboration with MedSeq's principal investigator, Robert Green, MD, MPH, and co-investigator, Heidi Rehm, PhD.

"This report demonstrates a previously unanticipated use case and benefit that will accrue as whole genome sequencing become a routine part of medical care," said Green, one of the senior authors on the study, director of the Genomes2People Research Program at BWH and professor of medicine at Harvard Medical School. "Genome sequencing can now identify potential transfusion recipients who need rare blood types and the individuals who can safely provide them."