Cargando…
How much of the predisposition to Hashimoto’s thyroiditis can be explained based on previously reported associations?
PURPOSE: Our insight in the genetics of Hashimoto’s thyroiditis (HT) has become clearer through information provided by genome-wide association studies and candidate gene studies, but remains still not fully understood. Our aim was to assess how many different genetic risk variants contribute to the...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6244553/ https://www.ncbi.nlm.nih.gov/pubmed/29931474 http://dx.doi.org/10.1007/s40618-018-0910-4 |
_version_ | 1783372078039171072 |
---|---|
author | Jabrocka-Hybel, A. Skalniak, A. Piątkowski, J. Turek-Jabrocka, R. Vyhouskaya, P. Ludwig-Słomczyńska, A. Machlowska, J. Kapusta, P. Małecki, M. Pach, D. Trofimiuk-Müldner, M. Lizis-Kolus, K. Hubalewska-Dydejczyk, A. |
author_facet | Jabrocka-Hybel, A. Skalniak, A. Piątkowski, J. Turek-Jabrocka, R. Vyhouskaya, P. Ludwig-Słomczyńska, A. Machlowska, J. Kapusta, P. Małecki, M. Pach, D. Trofimiuk-Müldner, M. Lizis-Kolus, K. Hubalewska-Dydejczyk, A. |
author_sort | Jabrocka-Hybel, A. |
collection | PubMed |
description | PURPOSE: Our insight in the genetics of Hashimoto’s thyroiditis (HT) has become clearer through information provided by genome-wide association studies and candidate gene studies, but remains still not fully understood. Our aim was to assess how many different genetic risk variants contribute to the development of HT. METHODS: 147 HT cases (10.2% men) and 147 controls (13.6% men) were qualified for the analysis. Intrinsic and environmental factors were controlled for. Polymorphisms (SNP) were chosen based on the literature and included markers of the genes PTPN22, CTLA4, TG, TPO among others, and of genomic regions pointed by GWAS studies. SNP were typed on a microarray. Variants in the HLA-DRB1 gene were identified by Sanger sequencing. RESULTS: Multivariate predisposition to HT was modeled. Based on the investigated group, a model of seven variables was obtained. The variability explained by this model was assessed at only 5.4821% (p = 2 × 10(−6)), which indicates that many dozens of factors are required simultaneously to explain HT predisposition. CONCLUSIONS: We analyzed genetic regions commonly and most significantly associated with autoimmune thyroid disorders in the literature, on a carefully selected cohort. Our results indicated a lack of possibility to predict the risk of HT development, even with a multivariate model. We therefore conclude that strong associations of single genetic regions with HT should be interpreted with great caution. We believe that a change in the attitude towards genetic association analyses of HT predisposition is necessary. Studies including multiple factors simultaneously are needed to unravel the intricacies of genetic associations with HT. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40618-018-0910-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6244553 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-62445532018-12-04 How much of the predisposition to Hashimoto’s thyroiditis can be explained based on previously reported associations? Jabrocka-Hybel, A. Skalniak, A. Piątkowski, J. Turek-Jabrocka, R. Vyhouskaya, P. Ludwig-Słomczyńska, A. Machlowska, J. Kapusta, P. Małecki, M. Pach, D. Trofimiuk-Müldner, M. Lizis-Kolus, K. Hubalewska-Dydejczyk, A. J Endocrinol Invest Original Article PURPOSE: Our insight in the genetics of Hashimoto’s thyroiditis (HT) has become clearer through information provided by genome-wide association studies and candidate gene studies, but remains still not fully understood. Our aim was to assess how many different genetic risk variants contribute to the development of HT. METHODS: 147 HT cases (10.2% men) and 147 controls (13.6% men) were qualified for the analysis. Intrinsic and environmental factors were controlled for. Polymorphisms (SNP) were chosen based on the literature and included markers of the genes PTPN22, CTLA4, TG, TPO among others, and of genomic regions pointed by GWAS studies. SNP were typed on a microarray. Variants in the HLA-DRB1 gene were identified by Sanger sequencing. RESULTS: Multivariate predisposition to HT was modeled. Based on the investigated group, a model of seven variables was obtained. The variability explained by this model was assessed at only 5.4821% (p = 2 × 10(−6)), which indicates that many dozens of factors are required simultaneously to explain HT predisposition. CONCLUSIONS: We analyzed genetic regions commonly and most significantly associated with autoimmune thyroid disorders in the literature, on a carefully selected cohort. Our results indicated a lack of possibility to predict the risk of HT development, even with a multivariate model. We therefore conclude that strong associations of single genetic regions with HT should be interpreted with great caution. We believe that a change in the attitude towards genetic association analyses of HT predisposition is necessary. Studies including multiple factors simultaneously are needed to unravel the intricacies of genetic associations with HT. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40618-018-0910-4) contains supplementary material, which is available to authorized users. Springer International Publishing 2018-06-21 2018 /pmc/articles/PMC6244553/ /pubmed/29931474 http://dx.doi.org/10.1007/s40618-018-0910-4 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Article Jabrocka-Hybel, A. Skalniak, A. Piątkowski, J. Turek-Jabrocka, R. Vyhouskaya, P. Ludwig-Słomczyńska, A. Machlowska, J. Kapusta, P. Małecki, M. Pach, D. Trofimiuk-Müldner, M. Lizis-Kolus, K. Hubalewska-Dydejczyk, A. How much of the predisposition to Hashimoto’s thyroiditis can be explained based on previously reported associations? |
title | How much of the predisposition to Hashimoto’s thyroiditis can be explained based on previously reported associations? |
title_full | How much of the predisposition to Hashimoto’s thyroiditis can be explained based on previously reported associations? |
title_fullStr | How much of the predisposition to Hashimoto’s thyroiditis can be explained based on previously reported associations? |
title_full_unstemmed | How much of the predisposition to Hashimoto’s thyroiditis can be explained based on previously reported associations? |
title_short | How much of the predisposition to Hashimoto’s thyroiditis can be explained based on previously reported associations? |
title_sort | how much of the predisposition to hashimoto’s thyroiditis can be explained based on previously reported associations? |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6244553/ https://www.ncbi.nlm.nih.gov/pubmed/29931474 http://dx.doi.org/10.1007/s40618-018-0910-4 |
work_keys_str_mv | AT jabrockahybela howmuchofthepredispositiontohashimotosthyroiditiscanbeexplainedbasedonpreviouslyreportedassociations AT skalniaka howmuchofthepredispositiontohashimotosthyroiditiscanbeexplainedbasedonpreviouslyreportedassociations AT piatkowskij howmuchofthepredispositiontohashimotosthyroiditiscanbeexplainedbasedonpreviouslyreportedassociations AT turekjabrockar howmuchofthepredispositiontohashimotosthyroiditiscanbeexplainedbasedonpreviouslyreportedassociations AT vyhouskayap howmuchofthepredispositiontohashimotosthyroiditiscanbeexplainedbasedonpreviouslyreportedassociations AT ludwigsłomczynskaa howmuchofthepredispositiontohashimotosthyroiditiscanbeexplainedbasedonpreviouslyreportedassociations AT machlowskaj howmuchofthepredispositiontohashimotosthyroiditiscanbeexplainedbasedonpreviouslyreportedassociations AT kapustap howmuchofthepredispositiontohashimotosthyroiditiscanbeexplainedbasedonpreviouslyreportedassociations AT małeckim howmuchofthepredispositiontohashimotosthyroiditiscanbeexplainedbasedonpreviouslyreportedassociations AT pachd howmuchofthepredispositiontohashimotosthyroiditiscanbeexplainedbasedonpreviouslyreportedassociations AT trofimiukmuldnerm howmuchofthepredispositiontohashimotosthyroiditiscanbeexplainedbasedonpreviouslyreportedassociations AT liziskolusk howmuchofthepredispositiontohashimotosthyroiditiscanbeexplainedbasedonpreviouslyreportedassociations AT hubalewskadydejczyka howmuchofthepredispositiontohashimotosthyroiditiscanbeexplainedbasedonpreviouslyreportedassociations |