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Xu X, Hu K, Shi H, Yu Y, Xu J, Sun Y. The single-nucleotide polymorphism rs743572 of CYP17A1 shows significant association with polycystic ovary syndrome: a meta-analysis. Reprod Biomed Online 2021; 43:941-951. [PMID: 34538754 DOI: 10.1016/j.rbmo.2021.06.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Revised: 05/11/2021] [Accepted: 06/14/2021] [Indexed: 11/18/2022]
Abstract
Polycystic ovary syndrome (PCOS) is a multifactorial reproductive and endocrine disease, believed to be caused by aberrant steroid biosynthesis pathways involving cytochrome P450, 17α-hydroxylase (CYP17A1). This meta-analysis aimed to evaluate the association between CYP17A1 polymorphism rs743572 and PCOS risk. Studies on the CYP17A1 gene were retrieved by searching PubMed, Embase and Web of Science and statistical analyses were performed by STATA software. Fifteen eligible studies were included, dated from January 1994 to 19 November 2020, involving 2277 patients with PCOS and 1913 control individuals. Overall, the results showed that the rs743572 T>C mutation was most likely to be associated with PCOS risk under the recessive model, which was further confirmed by heterogeneity analysis and publication bias detection (CC versus CT + TT, odds ratio [OR] 1.24, 95% confidence interval [CI] 1.02-1.50, P = 0.028, I² = 35.9%). Moreover, subgroup analysis by ethnicity demonstrated that Caucasian but not Asian women carrying the CC genotype of rs743572 had an elevated risk of PCOS (CC versus CT + TT, OR 1.45, 95% CI 1.03-2.06, P = 0.035, I² = 15.10%, six studies). In conclusion, rs743572 is highly likely to be a risk factor for PCOS, and the mutant genotype CC may increase susceptibility to PCOS in Caucasians rather than Asians.
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Affiliation(s)
- Xiqiao Xu
- Center for Reproductive Medicine, Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Kaiyue Hu
- Center for Reproductive Medicine, Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Hao Shi
- Center for Reproductive Medicine, Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yiping Yu
- Center for Reproductive Medicine, Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jiawei Xu
- Center for Reproductive Medicine, Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
| | - Yingpu Sun
- Center for Reproductive Medicine, Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
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López-Toledo S, Ramírez-García SA, Cabrera-Pivaral CE, Flores-Alvarado LJ, Ruiz DM, Aguilar Aldrete ME, Parada-Luna F. New Genetic Polymorphisms as Epidemiological Factor of Arterial Hypertension in Patients with Hyposodical Diet. Curr Hypertens Rev 2021; 18:34-38. [PMID: 33563199 DOI: 10.2174/1573402117666210204205447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 10/29/2020] [Accepted: 11/11/2020] [Indexed: 11/22/2022]
Abstract
Hypertension is a major public health problem, affecting more than a quarter of the world's population that causes serious cardiovascular problems. In recent years, different polymorphisms have been studied and helped to identify some candidate genes and hereditary syndromes associated to the molecular mechanisms involved in the development of hypertension. Therefore, it is important to identify these molecular mechanisms. This review exposes all the genes and polymorphisms that increase or decrease the risk of hypertension in different populations that are related to the renin angiotensin aldosterone system, G protein, salt excretion, aldosterone synthesis, lipid metabolism, mechanism of insulin resistance, vitamin metabolism, purines and sodium reabsorption. This document can be a useful tool in clinical practice, in addition to serving as a support for future research on this topic.
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Affiliation(s)
- Sabina López-Toledo
- Instituto de Nutrición, Universidad de la Sierra Sur. Miahuatlán de Porfirio Díaz, Oaxaca. Mexico
| | - Sergio A Ramírez-García
- Instituto de Nutrición, Universidad de la Sierra Sur. Miahuatlán de Porfirio Díaz, Oaxaca. Mexico
| | - Carlos E Cabrera-Pivaral
- Departamento de Salud Pública, Centro Universitario de Ciencias de la Salud. Universidad de Guadalajara, Jalisco. Mexico
| | - Luis Javier Flores-Alvarado
- Deparatmemnto de Biología Molecular y Genómica, Centro Universitario de Ciencias de la Salud. Universidad de Guadalajara, Jalisco. Mexico
| | - Dalia Madrigal Ruiz
- Departamento de Fisiología, Centro Universitario de Ciencias de la Salud. Universidad de Guadalajara, Jalisco. Mexico
| | - María E Aguilar Aldrete
- Departamento de Salud Pública, Centro Universitario de Ciencias de la Salud. Universidad de Guadalajara, Jalisco. Mexico
| | - Felipe Parada-Luna
- Programa de Maestría en Salud Pública, Universidad de la Sierra Sur. Miahuatlán de Porfirio Díaz, Oaxaca . Mexico
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Nandakumar P, Lee D, Hoffmann TJ, Ehret GB, Arking D, Ranatunga D, Li M, Grove ML, Boerwinkle E, Schaefer C, Kwok PY, Iribarren C, Risch N, Chakravarti A. Analysis of putative cis-regulatory elements regulating blood pressure variation. Hum Mol Genet 2020; 29:1922-1932. [PMID: 32436959 PMCID: PMC7372556 DOI: 10.1093/hmg/ddaa098] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Revised: 03/29/2020] [Accepted: 05/06/2020] [Indexed: 12/21/2022] Open
Abstract
Hundreds of loci have been associated with blood pressure (BP) traits from many genome-wide association studies. We identified an enrichment of these loci in aorta and tibial artery expression quantitative trait loci in our previous work in ~100 000 Genetic Epidemiology Research on Aging study participants. In the present study, we sought to fine-map known loci and identify novel genes by determining putative regulatory regions for these and other tissues relevant to BP. We constructed maps of putative cis-regulatory elements (CREs) using publicly available open chromatin data for the heart, aorta and tibial arteries, and multiple kidney cell types. Variants within these regions may be evaluated quantitatively for their tissue- or cell-type-specific regulatory impact using deltaSVM functional scores, as described in our previous work. We aggregate variants within these putative CREs within 50 Kb of the start or end of 'expressed' genes in these tissues or cell types using public expression data and use deltaSVM scores as weights in the group-wise sequence kernel association test to identify candidates. We test for association with both BP traits and expression within these tissues or cell types of interest and identify the candidates MTHFR, C10orf32, CSK, NOV, ULK4, SDCCAG8, SCAMP5, RPP25, HDGFRP3, VPS37B and PPCDC. Additionally, we examined two known QT interval genes, SCN5A and NOS1AP, in the Atherosclerosis Risk in Communities Study, as a positive control, and observed the expected heart-specific effect. Thus, our method identifies variants and genes for further functional testing using tissue- or cell-type-specific putative regulatory information.
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Affiliation(s)
- Priyanka Nandakumar
- Department of Genetic Medicine, McKusick-Nathans Institute, Baltimore, MD 21205, USA
| | - Dongwon Lee
- Department of Genetic Medicine, McKusick-Nathans Institute, Baltimore, MD 21205, USA
- Center for Human Genetics and Genomics, NYU School of Medicine, New York, NY 10016, USA
- Division of Nephrology, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Thomas J Hoffmann
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA 94158, USA
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA 94143, USA
| | - Georg B Ehret
- Department of Genetic Medicine, McKusick-Nathans Institute, Baltimore, MD 21205, USA
- Center for Human Genetics and Genomics, NYU School of Medicine, New York, NY 10016, USA
- Cardiology, Department of Specialties of Internal Medicine, University of Geneva, Geneva 1211, Switzerland
| | - Dan Arking
- Department of Genetic Medicine, McKusick-Nathans Institute, Baltimore, MD 21205, USA
| | - Dilrini Ranatunga
- Kaiser Permanente Northern California Division of Research, Oakland, California 94612 USA
| | - Man Li
- Division of Nephrology, Department of Human Genetics, University of Utah, Salt Lake City, Utah 84132, USA
| | - Megan L Grove
- Human Genetics Center, University of Texas Health Science Center, Houston, Texas 77030, USA
| | - Eric Boerwinkle
- Human Genetics Center, University of Texas Health Science Center, Houston, Texas 77030, USA
| | - Catherine Schaefer
- Kaiser Permanente Northern California Division of Research, Oakland, California 94612 USA
| | - Pui-Yan Kwok
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA 94143, USA
| | - Carlos Iribarren
- Kaiser Permanente Northern California Division of Research, Oakland, California 94612 USA
| | - Neil Risch
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA 94158, USA
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA 94143, USA
- Kaiser Permanente Northern California Division of Research, Oakland, California 94612 USA
| | - Aravinda Chakravarti
- Department of Genetic Medicine, McKusick-Nathans Institute, Baltimore, MD 21205, USA
- Center for Human Genetics and Genomics, NYU School of Medicine, New York, NY 10016, USA
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Zhang N, Jia J, Ding Q, Chen H, Ye X, Ding H, Zhan Y. Common variant rs11191548 near the CYP17A1 gene is associated with hypertension and the serum 25(OH) D levels in Han Chinese. J Hum Genet 2018; 63:731-737. [PMID: 29556032 DOI: 10.1038/s10038-018-0435-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Revised: 02/14/2018] [Accepted: 02/19/2018] [Indexed: 02/07/2023]
Abstract
The CYP17A1 gene, which encodes17α-hydroxylase and 17,20-lyase, has been identified as a common hypertension susceptibility locus in a European population. However, the association between CYP17A1 polymorphisms and hypertension is unclear in the Chinese population as well as in the role of serum 25(OH) D levels. Six single nucleotide polymorphisms (SNPs) in CYP17A1 were genotyped in two stages in a Han Chinese population, and the serum 25(OH) D levels were measured. Analysis in stage 1 showed that the rs1004467 minor G-allele and rs11191548 minor C-allele in CYP17A1 were significantly associated with a decreased risk of hypertension and higher serum 25(OH) D levels (all P < 0.05). The larger sample in stage 2 also showed that a mutation in rs11191548 was significantly associated with a decreased risk of hypertension (adjusted OR = 0.707, 95% CI: 0.553-0.904, P = 0.006). The rs11191548 minor C-allele was associated with higher serum 25(OH) D levels in hypertensive subjects (βadj ± SEM = 0.094 ± 0.949, P = 0.003) and controls (βadj ± SEM = 0.128 ± 1.025, P < 0.001). In conclusion, the rs11191548 CYP17A1 gene mutation was associated with hypertension and the serum 25(OH) D levels in Han Chinese.
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Affiliation(s)
- Ning Zhang
- Geriatric Medicine Department, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jian Jia
- General Medicine Department, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Qiuju Ding
- Jiangsu Key Laboratory of Molecular Medicine, Department of Medical Genetics, Nanjing University, Nanjing, Jiangsu, China
| | - Huimei Chen
- Jiangsu Key Laboratory of Molecular Medicine, Department of Medical Genetics, Nanjing University, Nanjing, Jiangsu, China
| | - Xiaoman Ye
- Geriatric Medicine Department, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Haixia Ding
- Geriatric Medicine Department, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
| | - Yiyang Zhan
- Geriatric Medicine Department, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
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