Corrigendum: Novel non-histocompatibility antigen mismatched variants improve the ability to predict antibody-mediated rejection risk in kidney transplant [Front Immunol, 8, (2017) (1687)] DOI: 10.3389/fimmu.2017.01687

Silvia Pineda, Tara K. Sigdel, Jieming Chen, Annette M. Jackson, Marina Sirota, Minnie M. Sarwal

Research output: Contribution to journalComment/debatepeer-review

Abstract

Text Correction. In the original article, there was an error. The data were intended to be shared in dbGap, but because of some issues in the inform consent, the data cannot be uploaded to dbGap, so we are modifying the way the data will be shared. A correction has been made to Data and Material Availability and Paragraph 1: "The data set for this study will be available at dbGap referenced by the PubMed ID and title of this article." for: "The exome sequencing data set for this study is available upon request as a collaboration. Please contact Minnie Sarwal at minnie.sarwal@ucsf.edu." The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article was updated.

Original languageEnglish (US)
Article number107
JournalFrontiers in immunology
Volume9
Issue numberJAN
DOIs
StatePublished - Jan 31 2018

Keywords

  • Antibody-mediated rejection
  • Exome sequencing
  • Gene expression
  • Kidney organ transplant
  • Machine learning
  • Non-histocompatibility antigen

ASJC Scopus subject areas

  • Immunology and Allergy
  • Immunology

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