This article is a correction to:
Novel Non-Histocompatibility Antigen Mismatched Variants Improve the Ability to Predict Antibody-Mediated Rejection Risk in Kidney Transplant
Silvia Pineda1,2
Tara K. Sigdel1
Jieming Chen2
Annette M. Jackson3
Marina Sirota2,4*†
Minnie M. Sarwal1*†
- 1Division of Transplant Surgery, Department of Surgery, University of California, San Francisco (UCSF), San Francisco, CA, United States
- 2Institute for Computational Health Sciences, University of California, San Francisco (UCSF), San Francisco, CA, United States
- 3Department of Medicine, Division of Immunogenetics and Transplantation Immunology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
- 4Department of Pediatrics, University of California, San Francisco (UCSF), San Francisco, CA, United States
A corrigendum on
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 bWlubmllLnNhcndhbCYjeDAwMDQwO3Vjc2YuZWR1.”
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.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Keywords: kidney organ transplant, antibody-mediated rejection, exome sequencing, non-histocompatibility antigen, gene expression, machine learning
Citation: Pineda S, Sigdel TK, Chen J, Jackson AM, Sirota M and Sarwal MM (2018) Corrigendum: Novel Non-Histocompatibility Antigen Mismatched Variants Improve the Ability to Predict Antibody-Mediated Rejection Risk in Kidney Transplant. Front. Immunol. 9:107. doi: 10.3389/fimmu.2018.00107
Received: 21 December 2017; Accepted: 12 January 2018;
Published: 31 January 2018
Edited and Reviewed by: Dominique Charron, Université Paris Diderot, France
Copyright: © 2018 Pineda, Sigdel, Chen, Jackson, Sirota and Sarwal. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Marina Sirota, bWFyaW5hLnNpcm90YSYjeDAwMDQwO3Vjc2YuZWR1;
Minnie M. Sarwal, bWlubmllLnNhcndhbCYjeDAwMDQwO3Vjc2YuZWR1
†These authors have contributed equally to this work.