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Candidate Genes for IgA Nephropathy in Pediatric Patients: Exome-Wide Association Study
IgA nephropathy (IgAN) is an autoimmune disorder which is believed to be non-monogenic. We performed an exome-wide association study of 70 children with IgAN and 637 healthy donors. The HLA allele frequencies were compared between the patients and healthy donors from the bone marrow registry of the...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647220/ https://www.ncbi.nlm.nih.gov/pubmed/37958966 http://dx.doi.org/10.3390/ijms242115984 |
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author | Buianova, Anastasiia A. Proskura, Mariia V. Cheranev, Valery V. Belova, Vera A. Shmitko, Anna O. Pavlova, Anna S. Vasiliadis, Iuliia A. Suchalko, Oleg N. Rebrikov, Denis V. Petrosyan, Edita K. Korostin, Dmitriy O. |
author_facet | Buianova, Anastasiia A. Proskura, Mariia V. Cheranev, Valery V. Belova, Vera A. Shmitko, Anna O. Pavlova, Anna S. Vasiliadis, Iuliia A. Suchalko, Oleg N. Rebrikov, Denis V. Petrosyan, Edita K. Korostin, Dmitriy O. |
author_sort | Buianova, Anastasiia A. |
collection | PubMed |
description | IgA nephropathy (IgAN) is an autoimmune disorder which is believed to be non-monogenic. We performed an exome-wide association study of 70 children with IgAN and 637 healthy donors. The HLA allele frequencies were compared between the patients and healthy donors from the bone marrow registry of the Pirogov University. We tested 78,020 gene markers for association and performed functional enrichment analysis and transcription factor binding preference detection. We identified 333 genetic variants, employing three inheritance models. The most significant association with the disorder was observed for rs143409664 (PRAG1) in the case of the additive and dominant models (P(BONF) = 1.808 × 10(−15) and P(BONF) = 1.654 × 10(−15), respectively), and for rs13028230 (UBR3) in the case of the recessive model (P(BONF) = 1.545 × 10(−9)). Enrichment analysis indicated the strongly overrepresented “immune system” and “kidney development” terms. The HLA-DQA1*01:01:01G allele (p = 0.0076; OR, 2.021 [95% CI, 1.322–3.048]) was significantly the most frequent among IgAN patients. Here, we characterized, for the first time, the genetic background of Russian IgAN patients, identifying the risk alleles typical of the population. The most important signals were detected in previously undescribed loci. |
format | Online Article Text |
id | pubmed-10647220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106472202023-11-05 Candidate Genes for IgA Nephropathy in Pediatric Patients: Exome-Wide Association Study Buianova, Anastasiia A. Proskura, Mariia V. Cheranev, Valery V. Belova, Vera A. Shmitko, Anna O. Pavlova, Anna S. Vasiliadis, Iuliia A. Suchalko, Oleg N. Rebrikov, Denis V. Petrosyan, Edita K. Korostin, Dmitriy O. Int J Mol Sci Article IgA nephropathy (IgAN) is an autoimmune disorder which is believed to be non-monogenic. We performed an exome-wide association study of 70 children with IgAN and 637 healthy donors. The HLA allele frequencies were compared between the patients and healthy donors from the bone marrow registry of the Pirogov University. We tested 78,020 gene markers for association and performed functional enrichment analysis and transcription factor binding preference detection. We identified 333 genetic variants, employing three inheritance models. The most significant association with the disorder was observed for rs143409664 (PRAG1) in the case of the additive and dominant models (P(BONF) = 1.808 × 10(−15) and P(BONF) = 1.654 × 10(−15), respectively), and for rs13028230 (UBR3) in the case of the recessive model (P(BONF) = 1.545 × 10(−9)). Enrichment analysis indicated the strongly overrepresented “immune system” and “kidney development” terms. The HLA-DQA1*01:01:01G allele (p = 0.0076; OR, 2.021 [95% CI, 1.322–3.048]) was significantly the most frequent among IgAN patients. Here, we characterized, for the first time, the genetic background of Russian IgAN patients, identifying the risk alleles typical of the population. The most important signals were detected in previously undescribed loci. MDPI 2023-11-05 /pmc/articles/PMC10647220/ /pubmed/37958966 http://dx.doi.org/10.3390/ijms242115984 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Buianova, Anastasiia A. Proskura, Mariia V. Cheranev, Valery V. Belova, Vera A. Shmitko, Anna O. Pavlova, Anna S. Vasiliadis, Iuliia A. Suchalko, Oleg N. Rebrikov, Denis V. Petrosyan, Edita K. Korostin, Dmitriy O. Candidate Genes for IgA Nephropathy in Pediatric Patients: Exome-Wide Association Study |
title | Candidate Genes for IgA Nephropathy in Pediatric Patients: Exome-Wide Association Study |
title_full | Candidate Genes for IgA Nephropathy in Pediatric Patients: Exome-Wide Association Study |
title_fullStr | Candidate Genes for IgA Nephropathy in Pediatric Patients: Exome-Wide Association Study |
title_full_unstemmed | Candidate Genes for IgA Nephropathy in Pediatric Patients: Exome-Wide Association Study |
title_short | Candidate Genes for IgA Nephropathy in Pediatric Patients: Exome-Wide Association Study |
title_sort | candidate genes for iga nephropathy in pediatric patients: exome-wide association study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647220/ https://www.ncbi.nlm.nih.gov/pubmed/37958966 http://dx.doi.org/10.3390/ijms242115984 |
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