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A whole genome approach for discovering the genetic basis of blood group antigens: independent confirmation for P1 and Xga.
Lane, William J; Aguad, Maria; Smeland-Wagman, Robin; Vege, Sunitha; Mah, Helen H; Joseph, Abigail; Blout, Carrie L; Nguyen, Tiffany T; Lebo, Matthew S; Sidhu, Manpreet; Lomas-Francis, Christine; Kaufman, Richard M; Green, Robert C; Westhoff, Connie M.
Afiliação
  • Lane WJ; Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts.
  • Aguad M; Harvard Medical School, Boston, Massachusetts.
  • Smeland-Wagman R; Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts.
  • Vege S; Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts.
  • Mah HH; New York Blood Center, New York City, New York.
  • Joseph A; Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts.
  • Blout CL; Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts.
  • Nguyen TT; Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
  • Lebo MS; Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
  • Sidhu M; Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts.
  • Lomas-Francis C; Harvard Medical School, Boston, Massachusetts.
  • Kaufman RM; Laboratory for Molecular Medicine, Boston, Massachusetts.
  • Green RC; Partners Personalized Medicine, Boston, Massachusetts.
  • Westhoff CM; New York Blood Center, New York City, New York.
Transfusion ; 59(3): 908-915, 2019 03.
Article em En | MEDLINE | ID: mdl-30592300
ABSTRACT

BACKGROUND:

Although P1 and Xga are known to be associated with the A4GALT and XG genes, respectively, the genetic basis of antigen expression has been elusive. Recent reports link both P1 and Xga expression with nucleotide changes in the promotor regions and with antigen-negative phenotypes due to disruption of transcription factor binding. STUDY DESIGN AND

METHODS:

Whole genome sequencing was performed on 113 individuals as part of the MedSeq Project with serologic RBC antigen typing for P1 (n = 77) and Xga (n = 15). Genomic data were analyzed by two approaches, nucleotide frequency correlation and serologic correlation, to find A4GALT and XG changes associated with P1 and Xga expression.

RESULTS:

For P1, the frequency approach identified 29 possible associated nucleotide changes, and the serologic approach revealed four among them correlating with the P1+/P1- phenotype chr2243,115,523_43,115,520AAAG/delAAAG (rs66781836); chr 2243,114,551C/T (rs8138197); chr2243,114,020 T/G (rs2143918); and chr2243,113,793G/T (rs5751348). For Xga , the frequency approach identified 82 possible associated nucleotide changes, and among these the serologic approach revealed one correlating with the Xg(a+)/Xg(a-) phenotype chrX2,666,384G/C (rs311103).

CONCLUSION:

A bioinformatics analysis pipeline was created to identify genetic changes responsible for RBC antigen expression. This study, in progress before the recently published reports, independently confirms the basis for P1 and Xga . Although this enabled molecular typing of these antigens, the Y chromosome PAR1 region interfered with Xga typing in males. This approach could be used to identify and confirm the genetic basis of antigens, potentially replacing the historical approach using family pedigrees as genomic sequencing becomes commonplace.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Antígenos de Grupos Sanguíneos / Sequenciamento Completo do Genoma Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Antígenos de Grupos Sanguíneos / Sequenciamento Completo do Genoma Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article