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Paraoxonase single nucleotide variants show associations with polycystic ovary syndrome: a meta-analysis
BACKGROUND: Etiology of polycystic ovary syndrome (PCOS) is attributed to genetic and environmental factors. One environmental factor is oxidative stress. Paraoxonase 1 (PON1) is an antioxidant high-density lipoprotein-associated enzyme encoded by the PON1 gene. The PON1 gene has been implicated in...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7678182/ https://www.ncbi.nlm.nih.gov/pubmed/33218342 http://dx.doi.org/10.1186/s12958-020-00665-1 |
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author | Kunjantarachot, Anthicha Pabalan, Noel Jarjanazi, Hamdi Christofolini, Denise Maria Montagna, Erik Barbosa, Caio Parente Bianco, Bianca |
author_facet | Kunjantarachot, Anthicha Pabalan, Noel Jarjanazi, Hamdi Christofolini, Denise Maria Montagna, Erik Barbosa, Caio Parente Bianco, Bianca |
author_sort | Kunjantarachot, Anthicha |
collection | PubMed |
description | BACKGROUND: Etiology of polycystic ovary syndrome (PCOS) is attributed to genetic and environmental factors. One environmental factor is oxidative stress. Paraoxonase 1 (PON1) is an antioxidant high-density lipoprotein-associated enzyme encoded by the PON1 gene. The PON1 gene has been implicated in the risk for PCOS, the influence of which appears to come from single nucleotide variants (SNVs) at multiple genetic loci. However, association study reports have been inconsistent which compels a meta-analysis to obtain more precise estimates. METHODS: From 12 publications, extracted genotype data were used in two genetic procedures. First, linkage disequilibrium (LD) was used to group eight PON SNVs into three: LD1, LD2 and LD3. Second, frequencies of the variant (var), wild-type (wt) and heterozygous (het) genotypes were used for genetic modeling (allele-genotype for LD1 and standard for LD2 and LD3). Risk associations were expressed in terms of pooled odds ratios (ORs), 95% confidence intervals (CIs) and P(a)-values. Evidence was considered strong when significance was high (P(a) < 0.0001) and heterogeneity absent (I(2) = 0%). Pooled effects were subjected to modifier (power), subgroup (Asian/Caucasian), outlier, sensitivity and publication bias treatments. Multiple comparisons were Bonferroni-corrected. RESULTS: This meta-analysis generated 11 significant outcomes, five in LD1, six in LD2 and none in LD3. All six LD2 outcomes did not survive the Bonferroni-correction but two of the five in LD1 did. These two core LD1 findings conferred greater odds of PCOS to the var allele in the highly significant (P(a) < 0.0001) overall (OR 1.44, 95% CI 1.24–1.67) and Asian (OR 1.41, 95% CI 1.20–1.65) outcomes. Of these two core outcomes, the Asian effect was homogeneous (I(2) = 0%) but not the overall (I(2) = 29%). CONCLUSIONS: Of the eight PON SNVs examined, two (rs854560 and rs662) were associated with PCOS risk. These 1.4-fold increased risk effects rendered Asians susceptible to PCOS. High statistical power, high significance, zero to low-level heterogeneity, robustness and lack of bias in the core outcomes underpinned the strong evidence for association. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12958-020-00665-1. |
format | Online Article Text |
id | pubmed-7678182 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-76781822020-11-20 Paraoxonase single nucleotide variants show associations with polycystic ovary syndrome: a meta-analysis Kunjantarachot, Anthicha Pabalan, Noel Jarjanazi, Hamdi Christofolini, Denise Maria Montagna, Erik Barbosa, Caio Parente Bianco, Bianca Reprod Biol Endocrinol Research BACKGROUND: Etiology of polycystic ovary syndrome (PCOS) is attributed to genetic and environmental factors. One environmental factor is oxidative stress. Paraoxonase 1 (PON1) is an antioxidant high-density lipoprotein-associated enzyme encoded by the PON1 gene. The PON1 gene has been implicated in the risk for PCOS, the influence of which appears to come from single nucleotide variants (SNVs) at multiple genetic loci. However, association study reports have been inconsistent which compels a meta-analysis to obtain more precise estimates. METHODS: From 12 publications, extracted genotype data were used in two genetic procedures. First, linkage disequilibrium (LD) was used to group eight PON SNVs into three: LD1, LD2 and LD3. Second, frequencies of the variant (var), wild-type (wt) and heterozygous (het) genotypes were used for genetic modeling (allele-genotype for LD1 and standard for LD2 and LD3). Risk associations were expressed in terms of pooled odds ratios (ORs), 95% confidence intervals (CIs) and P(a)-values. Evidence was considered strong when significance was high (P(a) < 0.0001) and heterogeneity absent (I(2) = 0%). Pooled effects were subjected to modifier (power), subgroup (Asian/Caucasian), outlier, sensitivity and publication bias treatments. Multiple comparisons were Bonferroni-corrected. RESULTS: This meta-analysis generated 11 significant outcomes, five in LD1, six in LD2 and none in LD3. All six LD2 outcomes did not survive the Bonferroni-correction but two of the five in LD1 did. These two core LD1 findings conferred greater odds of PCOS to the var allele in the highly significant (P(a) < 0.0001) overall (OR 1.44, 95% CI 1.24–1.67) and Asian (OR 1.41, 95% CI 1.20–1.65) outcomes. Of these two core outcomes, the Asian effect was homogeneous (I(2) = 0%) but not the overall (I(2) = 29%). CONCLUSIONS: Of the eight PON SNVs examined, two (rs854560 and rs662) were associated with PCOS risk. These 1.4-fold increased risk effects rendered Asians susceptible to PCOS. High statistical power, high significance, zero to low-level heterogeneity, robustness and lack of bias in the core outcomes underpinned the strong evidence for association. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12958-020-00665-1. BioMed Central 2020-11-20 /pmc/articles/PMC7678182/ /pubmed/33218342 http://dx.doi.org/10.1186/s12958-020-00665-1 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Research Kunjantarachot, Anthicha Pabalan, Noel Jarjanazi, Hamdi Christofolini, Denise Maria Montagna, Erik Barbosa, Caio Parente Bianco, Bianca Paraoxonase single nucleotide variants show associations with polycystic ovary syndrome: a meta-analysis |
title | Paraoxonase single nucleotide variants show associations with polycystic ovary syndrome: a meta-analysis |
title_full | Paraoxonase single nucleotide variants show associations with polycystic ovary syndrome: a meta-analysis |
title_fullStr | Paraoxonase single nucleotide variants show associations with polycystic ovary syndrome: a meta-analysis |
title_full_unstemmed | Paraoxonase single nucleotide variants show associations with polycystic ovary syndrome: a meta-analysis |
title_short | Paraoxonase single nucleotide variants show associations with polycystic ovary syndrome: a meta-analysis |
title_sort | paraoxonase single nucleotide variants show associations with polycystic ovary syndrome: a meta-analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7678182/ https://www.ncbi.nlm.nih.gov/pubmed/33218342 http://dx.doi.org/10.1186/s12958-020-00665-1 |
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