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Genome-wide meta-analysis identifies novel loci associated with parathyroid hormone level
BACKGROUND: Parathyroid hormone (PTH) is one of the principal regulators of calcium homeostasis. Although serum PTH level is mostly accounted by genetic factors, genetic background underlying PTH level is insufficiently known. Therefore, the aim of this study was to identify novel genetic variants a...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6016867/ https://www.ncbi.nlm.nih.gov/pubmed/30134803 http://dx.doi.org/10.1186/s10020-018-0018-5 |
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author | Matana, Antonela Brdar, Dubravka Torlak, Vesela Boutin, Thibaud Popović, Marijana Gunjača, Ivana Kolčić, Ivana Boraska Perica, Vesna Punda, Ante Polašek, Ozren Barbalić, Maja Hayward, Caroline Zemunik, Tatijana |
author_facet | Matana, Antonela Brdar, Dubravka Torlak, Vesela Boutin, Thibaud Popović, Marijana Gunjača, Ivana Kolčić, Ivana Boraska Perica, Vesna Punda, Ante Polašek, Ozren Barbalić, Maja Hayward, Caroline Zemunik, Tatijana |
author_sort | Matana, Antonela |
collection | PubMed |
description | BACKGROUND: Parathyroid hormone (PTH) is one of the principal regulators of calcium homeostasis. Although serum PTH level is mostly accounted by genetic factors, genetic background underlying PTH level is insufficiently known. Therefore, the aim of this study was to identify novel genetic variants associated with PTH levels. METHODS: We performed GWAS meta-analysis within two genetically isolated Croatian populations followed by replication analysis in a Croatian mainland population and we also combined results across all three analyzed populations. The analyses included 2596 individuals. A total of 7,411,206 variants, imputed using the 1000 Genomes reference panel, were analysed for the association. In addition, a sex-specific GWAS meta-analyses were performed. RESULTS: Polymorphisms with the lowest P-values were located on chromosome 4 approximately 84 kb of the 5′ of RASGEF1B gene. The most significant SNP was rs11099476 (P = 1.15 × 10(−8)). Sex-specific analysis identified genome-wide significant association of the variant rs77178854, located within DPP10 gene in females only (P = 2.21 × 10(− 9)). There were no genome-wide significant findings in the meta-analysis of males. CONCLUSIONS: We identified two biologically plausible novel loci associated with PTH levels, providing us with further insights into the genetics of this complex trait. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s10020-018-0018-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6016867 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-60168672018-07-05 Genome-wide meta-analysis identifies novel loci associated with parathyroid hormone level Matana, Antonela Brdar, Dubravka Torlak, Vesela Boutin, Thibaud Popović, Marijana Gunjača, Ivana Kolčić, Ivana Boraska Perica, Vesna Punda, Ante Polašek, Ozren Barbalić, Maja Hayward, Caroline Zemunik, Tatijana Mol Med Research Article BACKGROUND: Parathyroid hormone (PTH) is one of the principal regulators of calcium homeostasis. Although serum PTH level is mostly accounted by genetic factors, genetic background underlying PTH level is insufficiently known. Therefore, the aim of this study was to identify novel genetic variants associated with PTH levels. METHODS: We performed GWAS meta-analysis within two genetically isolated Croatian populations followed by replication analysis in a Croatian mainland population and we also combined results across all three analyzed populations. The analyses included 2596 individuals. A total of 7,411,206 variants, imputed using the 1000 Genomes reference panel, were analysed for the association. In addition, a sex-specific GWAS meta-analyses were performed. RESULTS: Polymorphisms with the lowest P-values were located on chromosome 4 approximately 84 kb of the 5′ of RASGEF1B gene. The most significant SNP was rs11099476 (P = 1.15 × 10(−8)). Sex-specific analysis identified genome-wide significant association of the variant rs77178854, located within DPP10 gene in females only (P = 2.21 × 10(− 9)). There were no genome-wide significant findings in the meta-analysis of males. CONCLUSIONS: We identified two biologically plausible novel loci associated with PTH levels, providing us with further insights into the genetics of this complex trait. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s10020-018-0018-5) contains supplementary material, which is available to authorized users. BioMed Central 2018-04-11 /pmc/articles/PMC6016867/ /pubmed/30134803 http://dx.doi.org/10.1186/s10020-018-0018-5 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Matana, Antonela Brdar, Dubravka Torlak, Vesela Boutin, Thibaud Popović, Marijana Gunjača, Ivana Kolčić, Ivana Boraska Perica, Vesna Punda, Ante Polašek, Ozren Barbalić, Maja Hayward, Caroline Zemunik, Tatijana Genome-wide meta-analysis identifies novel loci associated with parathyroid hormone level |
title | Genome-wide meta-analysis identifies novel loci associated with parathyroid hormone level |
title_full | Genome-wide meta-analysis identifies novel loci associated with parathyroid hormone level |
title_fullStr | Genome-wide meta-analysis identifies novel loci associated with parathyroid hormone level |
title_full_unstemmed | Genome-wide meta-analysis identifies novel loci associated with parathyroid hormone level |
title_short | Genome-wide meta-analysis identifies novel loci associated with parathyroid hormone level |
title_sort | genome-wide meta-analysis identifies novel loci associated with parathyroid hormone level |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6016867/ https://www.ncbi.nlm.nih.gov/pubmed/30134803 http://dx.doi.org/10.1186/s10020-018-0018-5 |
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