BMI-associated alleles do not constitute risk alleles for polycystic ovary syndrome independently of BMI: a case-control study.
<h4>Introduction</h4>Polycystic Ovary Syndrome (PCOS) has a strong genetic background and the majority of patients with PCOS have elevated BMI levels. The aim of this study was to determine to which extent BMI-increasing alleles contribute to risk of PCOS when contemporaneous BMI is take...
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2014-01-01
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| Online Access: | https://doi.org/10.1371/journal.pone.0087335 |
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| author | Yvonne V Louwers Nigel W Rayner Blanca M Herrera Lisette Stolk Christopher J Groves Thomas M Barber Andre G Uitterlinden Stephen Franks Joop S E Laven Mark I McCarthy |
| author_facet | Yvonne V Louwers Nigel W Rayner Blanca M Herrera Lisette Stolk Christopher J Groves Thomas M Barber Andre G Uitterlinden Stephen Franks Joop S E Laven Mark I McCarthy |
| author_sort | Yvonne V Louwers |
| collection | DOAJ |
| description | <h4>Introduction</h4>Polycystic Ovary Syndrome (PCOS) has a strong genetic background and the majority of patients with PCOS have elevated BMI levels. The aim of this study was to determine to which extent BMI-increasing alleles contribute to risk of PCOS when contemporaneous BMI is taken into consideration.<h4>Methods</h4>Patients with PCOS and controls were recruited from the United Kingdom (563 cases and 791 controls) and The Netherlands (510 cases and 2720 controls). Cases and controls were of similar BMI. SNPs mapping to 12 BMI-associated loci which have been extensively replicated across different ethnicities, i.e., BDNF, FAIM2, ETV5, FTO, GNPDA2, KCTD15, MC4R, MTCH2, NEGR1, SEC16B, SH2B1, and TMEM18, were studied in association with PCOS within each cohort using the additive genetic model followed by a combined analysis. A genetic allelic count risk score model was used to determine the risk of PCOS for individuals carrying increasing numbers of BMI-increasing alleles.<h4>Results</h4>None of the genetic variants, including FTO and MC4R, was associated with PCOS independently of BMI in the meta-analysis. Moreover, no differences were observed between cases and controls in the number of BMI-risk alleles present and no overall trend across the risk score groups was observed.<h4>Conclusion</h4>In this combined analysis of over 4,000 BMI-matched individuals from the United Kingdom and the Netherlands, we observed no association of BMI risk alleles with PCOS independent of BMI. |
| format | Article |
| id | doaj-art-a5756eaf1a1d4ee0ba5d8a703de4b54e |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Public Library of Science (PLoS) |
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| series | PLoS ONE |
| spelling | doaj-art-a5756eaf1a1d4ee0ba5d8a703de4b54e2025-08-20T03:46:24ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0191e8733510.1371/journal.pone.0087335BMI-associated alleles do not constitute risk alleles for polycystic ovary syndrome independently of BMI: a case-control study.Yvonne V LouwersNigel W RaynerBlanca M HerreraLisette StolkChristopher J GrovesThomas M BarberAndre G UitterlindenStephen FranksJoop S E LavenMark I McCarthy<h4>Introduction</h4>Polycystic Ovary Syndrome (PCOS) has a strong genetic background and the majority of patients with PCOS have elevated BMI levels. The aim of this study was to determine to which extent BMI-increasing alleles contribute to risk of PCOS when contemporaneous BMI is taken into consideration.<h4>Methods</h4>Patients with PCOS and controls were recruited from the United Kingdom (563 cases and 791 controls) and The Netherlands (510 cases and 2720 controls). Cases and controls were of similar BMI. SNPs mapping to 12 BMI-associated loci which have been extensively replicated across different ethnicities, i.e., BDNF, FAIM2, ETV5, FTO, GNPDA2, KCTD15, MC4R, MTCH2, NEGR1, SEC16B, SH2B1, and TMEM18, were studied in association with PCOS within each cohort using the additive genetic model followed by a combined analysis. A genetic allelic count risk score model was used to determine the risk of PCOS for individuals carrying increasing numbers of BMI-increasing alleles.<h4>Results</h4>None of the genetic variants, including FTO and MC4R, was associated with PCOS independently of BMI in the meta-analysis. Moreover, no differences were observed between cases and controls in the number of BMI-risk alleles present and no overall trend across the risk score groups was observed.<h4>Conclusion</h4>In this combined analysis of over 4,000 BMI-matched individuals from the United Kingdom and the Netherlands, we observed no association of BMI risk alleles with PCOS independent of BMI.https://doi.org/10.1371/journal.pone.0087335 |
| spellingShingle | Yvonne V Louwers Nigel W Rayner Blanca M Herrera Lisette Stolk Christopher J Groves Thomas M Barber Andre G Uitterlinden Stephen Franks Joop S E Laven Mark I McCarthy BMI-associated alleles do not constitute risk alleles for polycystic ovary syndrome independently of BMI: a case-control study. PLoS ONE |
| title | BMI-associated alleles do not constitute risk alleles for polycystic ovary syndrome independently of BMI: a case-control study. |
| title_full | BMI-associated alleles do not constitute risk alleles for polycystic ovary syndrome independently of BMI: a case-control study. |
| title_fullStr | BMI-associated alleles do not constitute risk alleles for polycystic ovary syndrome independently of BMI: a case-control study. |
| title_full_unstemmed | BMI-associated alleles do not constitute risk alleles for polycystic ovary syndrome independently of BMI: a case-control study. |
| title_short | BMI-associated alleles do not constitute risk alleles for polycystic ovary syndrome independently of BMI: a case-control study. |
| title_sort | bmi associated alleles do not constitute risk alleles for polycystic ovary syndrome independently of bmi a case control study |
| url | https://doi.org/10.1371/journal.pone.0087335 |
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