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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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Li C, Sun D, Liu J, Li M, Zhang B, Liu Y, Wang Z, Wen S, Zhou J. A Prediction Model of Essential Hypertension Based on Genetic and Environmental Risk Factors in Northern Han Chinese. Int J Med Sci 2019; 16:793-799. [PMID: 31337952 PMCID: PMC6643104 DOI: 10.7150/ijms.33967] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Accepted: 04/22/2019] [Indexed: 11/06/2022] Open
Abstract
Background: Essential hypertension (EH) is a chronic disease of universal high prevalence and a well-established independent risk factor for cardiovascular and cerebrovascular events. The regulation of blood pressure is crucial for improving life quality and prognoses in patients with EH. Therefore, it is of important clinical significance to develop prediction models to recognize individuals with high risk for EH. Methods: In total, 965 subjects were recruited. Clinical parameters and genetic information, namely EH related SNPs were collected for each individual. Traditional statistic methods such as t-test, chi-square test and multi-variable logistic regression were applied to analyze baseline information. A machine learning method, mainly support vector machine (SVM), was adopted for the development of the present prediction models for EH. Results: Two models were constructed for prediction of systolic blood pressure (SBP) and diastolic blood pressure (DBP), respectively. The model for SBP consists of 6 environmental factors (age, BMI, waist circumference, exercise [times per week], parental history of hypertension [either or both]) and 1 SNP (rs7305099); model for DBP consists of 6 environmental factors (weight, drinking, exercise [times per week], TG, parental history of hypertension [either and both]) and 3 SNPs (rs5193, rs7305099, rs3889728). AUC are 0.673 and 0.817 for SBP and DBP model, respectively. Conclusions: The present study identified environmental and genetic risk factors for EH in northern Han Chinese population and constructed prediction models for SBP and DBP.
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Affiliation(s)
- Chuang Li
- Department of Hypertension Research, Beijing Anzhen Hospital, Capital Medical University and Beijing Institute of Herat Lung and Blood Vessel Diseases, Beijing, People's Republic of China.,Beijing Lab for Cardiovascular Precision Medicine, Beijing, People's Republic of China
| | - Dongdong Sun
- Department of Hypertension Research, Beijing Anzhen Hospital, Capital Medical University and Beijing Institute of Herat Lung and Blood Vessel Diseases, Beijing, People's Republic of China.,Beijing Lab for Cardiovascular Precision Medicine, Beijing, People's Republic of China
| | - Jielin Liu
- Department of Hypertension Research, Beijing Anzhen Hospital, Capital Medical University and Beijing Institute of Herat Lung and Blood Vessel Diseases, Beijing, People's Republic of China.,Beijing Lab for Cardiovascular Precision Medicine, Beijing, People's Republic of China
| | - Mei Li
- Department of Hypertension Research, Beijing Anzhen Hospital, Capital Medical University and Beijing Institute of Herat Lung and Blood Vessel Diseases, Beijing, People's Republic of China.,Beijing Lab for Cardiovascular Precision Medicine, Beijing, People's Republic of China
| | - Bei Zhang
- Department of Hypertension Research, Beijing Anzhen Hospital, Capital Medical University and Beijing Institute of Herat Lung and Blood Vessel Diseases, Beijing, People's Republic of China.,Beijing Lab for Cardiovascular Precision Medicine, Beijing, People's Republic of China
| | - Ya Liu
- Department of Hypertension Research, Beijing Anzhen Hospital, Capital Medical University and Beijing Institute of Herat Lung and Blood Vessel Diseases, Beijing, People's Republic of China.,Beijing Lab for Cardiovascular Precision Medicine, Beijing, People's Republic of China
| | - Zuoguang Wang
- Department of Hypertension Research, Beijing Anzhen Hospital, Capital Medical University and Beijing Institute of Herat Lung and Blood Vessel Diseases, Beijing, People's Republic of China.,Beijing Lab for Cardiovascular Precision Medicine, Beijing, People's Republic of China
| | - Shaojun Wen
- Department of Hypertension Research, Beijing Anzhen Hospital, Capital Medical University and Beijing Institute of Herat Lung and Blood Vessel Diseases, Beijing, People's Republic of China.,Beijing Lab for Cardiovascular Precision Medicine, Beijing, People's Republic of China
| | - Jiapeng Zhou
- College of Life Sciences, Hunan Normal University, Changsha, People's Republic of China.,Beijing Mygenostics Co., Ltd., Beijing, People's Republic of China
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3
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Yao YS, Chang WW, Jin YL. Association between TNF-a promoter -308G/A polymorphism and essential hypertension in the Asian population: A meta-analysis. J Renin Angiotensin Aldosterone Syst 2018; 18:1470320317741066. [PMID: 29258412 PMCID: PMC5843847 DOI: 10.1177/1470320317741066] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
OBJECTIVE The results of studies on the association between tumor necrosis factor-a -308G/A (TNF-a -308G/A) polymorphism, and susceptibility to essential hypertension are controversial. To derive a more precise estimation, we conducted a meta-analysis of all similar articles. METHODS The summary effect odds ratios and 95% confidence intervals were obtained. Funnel plots and Egger's test were used to estimate publication bias, and heterogeneity was assessed by the chi-square-based Q-test and I2 test. RESULTS Nine studies (with 1437 cases and 1487 controls) were included. In the overall analysis, the combined results showed that there were significant differences in genotype distribution between essential hypertension cases and controls, AA+GA versus GG (OR = 1.53, 95% CI: 1.25-1.88, p < 0.00001). In the stratified analysis by country, we found that essential hypertension cases had a significantly higher frequency of AA+GA versus GG (OR = 1.47, 95% CI: 1.18-1.81, p = 0.0004) than control in the Asian population. CONCLUSIONS This meta-analysis supports previous findings that TNF-a -308G/A polymorphism may increase the risk of essential hypertension, at least in the Asian population.
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Affiliation(s)
- Ying-Shui Yao
- Department of Preventive Medicine, Wannan Medical College, China
| | - Wei-Wei Chang
- Department of Preventive Medicine, Wannan Medical College, China
| | - Yue-Long Jin
- Department of Preventive Medicine, Wannan Medical College, China
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4
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Padmanabhan S, Joe B. Towards Precision Medicine for Hypertension: A Review of Genomic, Epigenomic, and Microbiomic Effects on Blood Pressure in Experimental Rat Models and Humans. Physiol Rev 2017; 97:1469-1528. [PMID: 28931564 PMCID: PMC6347103 DOI: 10.1152/physrev.00035.2016] [Citation(s) in RCA: 84] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2016] [Revised: 04/28/2017] [Accepted: 04/29/2017] [Indexed: 12/11/2022] Open
Abstract
Compelling evidence for the inherited nature of essential hypertension has led to extensive research in rats and humans. Rats have served as the primary model for research on the genetics of hypertension resulting in identification of genomic regions that are causally associated with hypertension. In more recent times, genome-wide studies in humans have also begun to improve our understanding of the inheritance of polygenic forms of hypertension. Based on the chronological progression of research into the genetics of hypertension as the "structural backbone," this review catalogs and discusses the rat and human genetic elements mapped and implicated in blood pressure regulation. Furthermore, the knowledge gained from these genetic studies that provide evidence to suggest that much of the genetic influence on hypertension residing within noncoding elements of our DNA and operating through pervasive epistasis or gene-gene interactions is highlighted. Lastly, perspectives on current thinking that the more complex "triad" of the genome, epigenome, and the microbiome operating to influence the inheritance of hypertension, is documented. Overall, the collective knowledge gained from rats and humans is disappointing in the sense that major hypertension-causing genes as targets for clinical management of essential hypertension may not be a clinical reality. On the other hand, the realization that the polygenic nature of hypertension prevents any single locus from being a relevant clinical target for all humans directs future studies on the genetics of hypertension towards an individualized genomic approach.
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Affiliation(s)
- Sandosh Padmanabhan
- Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom; and Center for Hypertension and Personalized Medicine; Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, Toledo, Ohio
| | - Bina Joe
- Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom; and Center for Hypertension and Personalized Medicine; Department of Physiology and Pharmacology, University of Toledo College of Medicine and Life Sciences, Toledo, Ohio
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5
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NANDAKUMAR P, LEE D, RICHARD MA, TEKOLA-AYELE F, TAYO BO, WARE E, SUNG YJ, SALAKO B, OGUNNIYI A, GU CC, GROVE ML, FORNAGE M, KARDIA S, ROTIMI C, COOPER RS, MORRISON AC, EHRET G, CHAKRAVARTI A. Rare coding variants associated with blood pressure variation in 15 914 individuals of African ancestry. J Hypertens 2017; 35:1381-1389. [PMID: 28234671 PMCID: PMC5451310 DOI: 10.1097/hjh.0000000000001319] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
OBJECTIVES Hypertension is a major risk factor for all cardiovascular diseases, especially among African Americans. This study focuses on identifying specific blood pressure (BP) genes using 15 914 individuals of African ancestry from eight cohorts (Africa America Diabetes Mellitus, Atherosclerosis Risk in Communities Study, Coronary Artery Risk Development in young Adults, Genetics Network, Genetic Epidemiology Network of Arteriopathy, Howard University Family Study, Hypertension Genetic Epidemiology Network, and Loyola University Chicago Cohort) to further genetic findings in this population which has generally been underrepresented in BP studies. METHODS We genotyped and performed various single variant and gene-based exome-wide analyses on 15 914 individuals on the Illumina HumanExome Beadchip v1.0 or v1.1 to test association with SBP and DBP long-term average residuals that were adjusted for age, age-squared, sex, and BMI. RESULTS We identified rare variants affecting SBP and DBP in 10 genes: AFF1, GAPDHS, SLC28A3, COL6A1, CRYBA2, KRBA1, SEL1L3, YOD1, CCDC13, and QSOX1. Prior experimental evidence for six of these 10 candidate genes supports their involvement in cardiovascular mechanisms, corroborating their potential roles in BP regulation. CONCLUSION Although our results require replication or validation due to their low numbers of carriers, and an ethnicity-specific genotyping array may be more informative, this study, which has identified several candidate genes in this population most susceptible to hypertension, presents one of the largest African-ancestry BP studies to date and the largest including analysis of rare variants.
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Affiliation(s)
- Priyanka NANDAKUMAR
- McKusick - Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD
| | - Dongwon LEE
- McKusick - Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD
| | - Melissa A. RICHARD
- Institute of Molecular Medicine and Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX
| | - Fasil TEKOLA-AYELE
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - Bamidele O. TAYO
- Department of Public Health Sciences, Stritch School of Medicine, Loyola University Chicago, Maywood, IL
| | - Erin WARE
- Department of Epidemiology, University of Michigan, Ann Arbor, MI
- Institute for Social Research, University of Michigan, Ann Arbor, MI
| | - Yun Ju SUNG
- Division of Biostatistics, Washington University School of Medicine in St. Louis, St. Louis, MO
| | | | | | - C. Charles GU
- Division of Biostatistics, Washington University School of Medicine in St. Louis, St. Louis, MO
| | - Megan L. GROVE
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Myriam FORNAGE
- Institute of Molecular Medicine and Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX
| | - Sharon KARDIA
- Department of Epidemiology, University of Michigan, Ann Arbor, MI
| | - Charles ROTIMI
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - Richard S. COOPER
- Department of Public Health Sciences, Stritch School of Medicine, Loyola University Chicago, Maywood, IL
| | - Alanna C. MORRISON
- Department of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Science Center at Houston, Houston TX
| | - Georg EHRET
- McKusick - Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD
- Department of Specialties of Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Aravinda CHAKRAVARTI
- McKusick - Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD
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6
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Affiliation(s)
- Connie J. Mulligan
- Department of Anthropology, Genetics Institute, University of Florida, Gainesville, Florida 32610-3610;
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7
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Ray EC, Chen J, Kelly TN, He J, Hamm LL, Gu D, Shimmin LC, Hixson JE, Rao DC, Sheng S, Kleyman TR. Human epithelial Na+ channel missense variants identified in the GenSalt study alter channel activity. Am J Physiol Renal Physiol 2016; 311:F908-F914. [PMID: 27582106 PMCID: PMC5130461 DOI: 10.1152/ajprenal.00426.2016] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Accepted: 08/22/2016] [Indexed: 12/31/2022] Open
Abstract
Mutations in genes encoding subunits of the epithelial Na+ channel (ENaC) can cause early onset familial hypertension, demonstrating the importance of this channel in modulating blood pressure. It remains unclear whether other genetic variants resulting in subtler alterations of channel function result in hypertension or altered sensitivity of blood pressure to dietary salt. This study sought to identify functional human ENaC variants to examine how these variants alter channel activity and to explore whether these variants are associated with altered sensitivity of blood pressure to dietary salt. Six-hundred participants of the Genetic Epidemiology Network of Salt Sensitivity (GenSalt) study with salt-sensitive or salt-resistant blood pressure underwent sequencing of the genes encoding ENaC subunits. Functional effects of identified variants were examined in a Xenopus oocyte expression system. Variants that increased channel activity included three in the gene encoding the α-subunit (αS115N, αR476W, and αV481M), one in the β-subunit (βS635N), and one in the γ-subunit (γL438Q). One α-subunit variant (αA334T) and one γ-subunit variant (βD31N) decreased channel activity. Several α-subunit extracellular domain variants altered channel inhibition by extracellular Na+ (Na+ self-inhibition). One variant (αA334T) decreased and one (αV481M) increased cell surface expression. Association between these variants and salt sensitivity did not reach statistical significance. This study identifies novel functional human ENaC variants and demonstrates that some variants alter channel cell surface expression and/or Na+ self-inhibition.
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Affiliation(s)
- Evan C Ray
- Renal-Electrolyte Division, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Jingxin Chen
- Renal-Electrolyte Division, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Tanika N Kelly
- Department of Epidemiology, Tulane University, New Orleans, Louisiana
| | - Jiang He
- Department of Epidemiology, Tulane University, New Orleans, Louisiana.,Department of Medicine, Tulane University, New Orleans, Louisiana
| | - L Lee Hamm
- Department of Medicine, Tulane University, New Orleans, Louisiana
| | - Dongfeng Gu
- State Key Laboratory of Cardiovascular Disease, Division of Population Genetics, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lawrence C Shimmin
- Human Genetics Center, University of Texas School of Public Health, Houston, Texas
| | - James E Hixson
- Human Genetics Center, University of Texas School of Public Health, Houston, Texas
| | - Dabeeru C Rao
- Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri
| | - Shaohu Sheng
- Renal-Electrolyte Division, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania;
| | - Thomas R Kleyman
- Renal-Electrolyte Division, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.,Departments of Cell Biology and Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, Pennsylvania
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8
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Zheng J, Rao DC, Shi G. An update on genome-wide association studies of hypertension. ACTA ACUST UNITED AC 2015. [DOI: 10.1186/s40535-015-0013-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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9
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Pombar-Gomez M, Lopez-Lopez E, Martin-Guerrero I, Garcia-Orad Carles A, de Pancorbo MM. Potential relationship between single nucleotide polymorphisms used in forensic genetics and diseases or other traits in European population. Int J Legal Med 2015; 129:435-43. [PMID: 25763762 DOI: 10.1007/s00414-015-1165-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2014] [Accepted: 02/27/2015] [Indexed: 10/23/2022]
Abstract
Single nucleotide polymorphisms (SNPs) are an interesting option to facilitate the analysis of highly degraded DNA by allowing the reduction of the size of the DNA amplicons. The SNPforID 52-plex panel is a clear example of the use of non-coding SNPs in forensic genetics. However, nonstop advances in studies of genetic polymorphisms are leading to the discovery of new associations between SNPs and diseases. The aim of this study was to perform a comprehensive review of the state of association between the 52 SNPs in the 52-plex panel and diseases or other traits related to their treatment, such as drug response characters. In order to achieve this goal, we have conducted a bioinformatic search for each SNP included in the panel and the SNPs in linkage disequilibrium (LD) with them in the European population (r (2) > 0.8). A total of 424 SNPs (52 in the panel and 372 in LD) were investigated in PubMed, Scopus, and dbSNP databases. Our results show that three SNPs in the SNPforID 52-plex panel (rs2107612, rs1979255, rs1463729) have been associated with diseases such as hypertension or macular degeneration, as well as drug response. Similarly, three out of the 372 SNPs in LD (rs2107614, r (2) = 0.859; rs765250, r (2) = 0.858; rs11064560, r (2) = 0,887) are also associated with various pathologies. In view of these results, we propose the need for a periodic review of the SNPs used in forensic genetics in order to keep their associations with diseases or related phenotypes updated and to evaluate their continuity in forensic panels for avoiding legal and ethical conflicts.
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Affiliation(s)
- Maria Pombar-Gomez
- Department of Genetics, Physical Anthropology and Animal Physiology, Faculty of Medicine and Odontology, University of the Basque Country (UPV/EHU), Leioa, Spain
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10
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Affiliation(s)
- Ali J Marian
- From the Institute of Molecular Medicine, Center for Cardiovascular Genetic Research, University of Texas Health Science Center, Houston.
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11
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Liao X, Yang Z, Peng D, Dai H, Lei Y, Zhao Q, Han Y, Wang W. Association of T174M polymorphism of angiotensinogen gene with essential hypertension: a meta-analysis. Genet Mol Biol 2014; 37:473-9. [PMID: 25249768 PMCID: PMC4171772 DOI: 10.1590/s1415-47572014000400001] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2013] [Accepted: 04/13/2014] [Indexed: 11/29/2022] Open
Abstract
The association between T174M polymorphism of angiotensinogen gene and essential hypertension risk remains controversial. We herein performed a meta-analysis to achieve a reliable estimation of their relationship. All the studies published up to May 2013 on the association between T174M polymorphism and essential hypertension risk were identified by searching the electronic repositories PubMed, MEDLINE and EMBASE, Springer, Elsevier Science Direct, Cochrane Library and Google Scholar. Data were extracted and pooled odds ratios (ORs) with 95% confidence intervals (95% CIs) were calculated. Ultimately, nine eligible studies, including 2188 essential hypertension cases and 2459 controls, were enrolled in this meta-analysis. No significant associations were found under the overall ORs for M-allele comparison (M vs. T, pooled OR 0.92, 95% CI 0.62–1.37), MM vs. TT (pooled OR 0.86, 95% CI 0.29–2.51), TM vs. TT n (pooled OR 0.91, 95% CI 0.63–1.32), recessive model (MM vs. TT+TM, pooled OR 0.89, 95% CI 0.35–2.30), dominant model (MM+TM vs. TT, pooled OR 0.91, 95% CI 0.60–1.38) between T174M polymorphism and risk for essential hypertension. This meta-analysis suggested that the T174M polymorphism of the angiotensinogen gene might not be associated with the susceptibility of essential hypertension in Asian or European populations.
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Affiliation(s)
| | | | | | - Hua Dai
- Sichuan University, P.R. China
| | - Yi Lei
- Sichuan University, P.R. China
| | | | | | - Weiwen Wang
- Chengdu Military General Hospital, P.R. China
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12
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Aslibekyan S, Wiener HW, Wu G, Zhi D, Shrestha S, de Los Campos G, Vazquez AI. Estimating proportions of explained variance: a comparison of whole genome subsets. BMC Proc 2014; 8:S102. [PMID: 25519356 PMCID: PMC4143698 DOI: 10.1186/1753-6561-8-s1-s102] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Following the publication of the ENCODE project results, there has been increasing interest in investigating different areas of the chromosome and evaluating the relative contribution of each area to expressed phenotypes. This study aims to evaluate the contribution of variants, classified by minor allele frequency and gene annotation, to the observed interindividual differences. In this study, we fitted Bayesian linear regression models to data from Genetic Analysis Workshop 18 (n = 395) to estimate the variance of standardized and log-transformed systolic blood pressure that can be explained by subsets of genetic markers. Rare and very rare variants explained an overall higher proportion of the variance, as did markers located within a gene rather than flanking regions. The proportion of variance explained by rare and very rare variants decreased when we controlled for the number of markers, suggesting that the number of contributing rare alleles plays an important role in the genetic architecture of chronic disease traits. Our findings lend support to the "common disease, rare variant" hypothesis for systolic blood pressure and highlight allele frequency and functional annotation of a polymorphism as potentially crucial considerations in whole genome study designs.
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Affiliation(s)
- Stella Aslibekyan
- Department of Epidemiology, University of Alabama at Birmingham, 1665 University Blvd, Birmingham, AL 35205, USA
| | - Howard W Wiener
- Department of Epidemiology, University of Alabama at Birmingham, 1665 University Blvd, Birmingham, AL 35205, USA
| | - Guodong Wu
- Department of Biostatistics, University of Alabama at Birmingham, 1665 University Blvd, Birmingham, AL 35205, USA
| | - Degui Zhi
- Department of Biostatistics, University of Alabama at Birmingham, 1665 University Blvd, Birmingham, AL 35205, USA
| | - Sadeep Shrestha
- Department of Epidemiology, University of Alabama at Birmingham, 1665 University Blvd, Birmingham, AL 35205, USA
| | - Gustavo de Los Campos
- Department of Biostatistics, University of Alabama at Birmingham, 1665 University Blvd, Birmingham, AL 35205, USA
| | - Ana I Vazquez
- Department of Biostatistics, University of Alabama at Birmingham, 1665 University Blvd, Birmingham, AL 35205, USA
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13
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Natekar A, Olds RL, Lau MW, Min K, Imoto K, Slavin TP. Elevated blood pressure: Our family's fault? The genetics of essential hypertension. World J Cardiol 2014; 6:327-37. [PMID: 24944762 PMCID: PMC4062117 DOI: 10.4330/wjc.v6.i5.327] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2013] [Revised: 02/10/2014] [Accepted: 04/16/2014] [Indexed: 02/06/2023] Open
Abstract
AIM To provide an updated review on current genetic aspects possibly affecting essential hypertension (EH), and to further elucidate their role in EH. METHODS We searched for genetic and epigenetic factors in major studies associated with EH between Jan 2008-Oct 2013 using PubMed. We limited our search to reviews that discussed mostly human studies, and were accessible through the university online resource. We found 11 genome wide association studies (GWAS), as well as five methylation and three miRNA studies that fit our search criteria. A distinction was not made between genes with protective effects or negative effects, as this article is only meant to be a summary of genes associated with any aspect of EH. RESULTS We found 130 genes from the studies that met our inclusion/exclusion criteria. Of note, genes with multiple study references include: STK39, CYP17A1, MTHFR-NPPA, MTHFR-NPPB, ATP2B1, CSK, ZNF652, UMOD, CACNB2, PLEKHA7, SH2B3, TBX3-TBX5, ULK4, CSK-ULK3, CYP1A2, NT5C2, CYP171A, PLCD3, SH2B3, ATXN2, CACNB2, PLEKHA7, SH2B3, TBX3-TBX5, ULK4, and HFE. The following genes overlapped between the genetic studies and epigenetic studies: WNK4 and BDKRB2. Several of the identified genes were found to have functions associated with EH. Many epigenetic factors were also correlated with EH. Of the epigenetic factors, there were no articles discussing siRNA and its effects on EH that met the search criteria, thus the topic was not included in this review. Among the miRNA targets found to be associated with EH, many of the genes involved were also identified in the GWAS studies. CONCLUSION Genetic hypertension risk algorithms could be developed in the future but may be of limited benefit due to the multi-factorial nature of EH. With emerging technologies, like next-generation sequencing, more direct causal relationships between genetic and epigenetic factors affecting EH will likely be discovered creating a tremendous potential for personalized medicine using pharmacogenomics.
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Affiliation(s)
- Aniket Natekar
- Aniket Natekar, Randi L Olds, Meghann W Lau, Kathleen Min, Karra Imoto, Thomas P Slavin, The John A. Burns School of Medicine, University of Hawaii, Honolulu, HI 96813, United States
| | - Randi L Olds
- Aniket Natekar, Randi L Olds, Meghann W Lau, Kathleen Min, Karra Imoto, Thomas P Slavin, The John A. Burns School of Medicine, University of Hawaii, Honolulu, HI 96813, United States
| | - Meghann W Lau
- Aniket Natekar, Randi L Olds, Meghann W Lau, Kathleen Min, Karra Imoto, Thomas P Slavin, The John A. Burns School of Medicine, University of Hawaii, Honolulu, HI 96813, United States
| | - Kathleen Min
- Aniket Natekar, Randi L Olds, Meghann W Lau, Kathleen Min, Karra Imoto, Thomas P Slavin, The John A. Burns School of Medicine, University of Hawaii, Honolulu, HI 96813, United States
| | - Karra Imoto
- Aniket Natekar, Randi L Olds, Meghann W Lau, Kathleen Min, Karra Imoto, Thomas P Slavin, The John A. Burns School of Medicine, University of Hawaii, Honolulu, HI 96813, United States
| | - Thomas P Slavin
- Aniket Natekar, Randi L Olds, Meghann W Lau, Kathleen Min, Karra Imoto, Thomas P Slavin, The John A. Burns School of Medicine, University of Hawaii, Honolulu, HI 96813, United States
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Büsst CJ. Blood pressure regulation via the epithelial sodium channel: from gene to kidney and beyond. Clin Exp Pharmacol Physiol 2014; 40:495-503. [PMID: 23710770 DOI: 10.1111/1440-1681.12124] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2013] [Revised: 05/17/2013] [Accepted: 05/20/2013] [Indexed: 01/11/2023]
Abstract
The epithelial sodium channel (ENaC) has long been recognized as playing a vital role in blood pressure (BP) regulation due to its involvement in fluid balance. The genes encoding the three ENaC subunits are likewise important contributors to hypertension, both in rare monogenic diseases and in the general population. The unusually high numbers of genetic variants associated with complex traits, including BP, that are located in non-coding areas suggest an involvement of these variants in regulatory functions. This may involve differential regulation of expression in different tissues. Emerging evidence indicates that the ENaC plays an important role in BP determination not only via its actions in the kidney, but also in other tissues commonly involved in BP regulation. The ENaC in the central nervous system is proposed to regulate BP via sympathetic nervous system activity. Recent evidence suggests that the ENaC contributes to vascular function and the myogenic response. Additional roles potentially include initiation of the baroreceptor reflex via ENaC in the baroreceptors and driving high salt intake with a 'taste for salt' via ENaC in the tongue. The present review describes the involvement of the ENaC in the determination of BP at a genetic and physiological level, detailing recent evidence for its role in the kidney and in other pertinent tissues.
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Affiliation(s)
- Cara J Büsst
- Departments of Physiology, The University of Melbourne and Monash University, Melbourne, Vic., Australia.
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Abstract
Over the last two decades, essential hypertension has become common in adolescents, yet remains under-diagnosed in absence of symptoms. Diagnosis is based on normative percentiles that factor in age, sex and height. Evaluation is more similar to adult essential hypertension than childhood secondary hypertension. Modifiable risk factors such as obesity, sodium consumption and low exercise should be addressed first. Many anti-hypertensive medications now have specific regulatory approval for children. Sports participation need not be limited in mild or well-controlled cases. Primary care physicians play an important role in reduction of cardiovascular mortality by early detection and referral when needed.
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Abstract
The elucidation of genes implicated in Mendelian forms of hypertension demonstrates rare variants with substantial effects are responsible, and often these genes lie within pathways managing sodium homeostasis. More recently with advances in affordable high-throughput genotyping strategies, multiple common genetic variants with modest effects on blood pressure (<1 mmHg systolic) have been discovered in the population. In aggregate, these common variants explain <3% of the variance of blood pressure. Although these findings may offer new mechanistic insights into the biology of blood pressure, a key question is can these findings translate into patient benefit? It is timely to reflect on recent advances in genomics, and the use of new resources, such as the 1000 Genomes Project and the Encyclopedia of DNA Elements, to annotate likely causal variants, and their relevance to cardiovascular disease. In this review, we discuss the advances in relation to our knowledge of the genetic architecture of blood pressure, and whether gene discoveries might influence cardiovascular risk assessment, help to stratify patient response to medicine, or identify new biological pathways for novel therapeutic targets.
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Affiliation(s)
- Patricia B Munroe
- William Harvey Research Institute and Barts National Institute for Health Research Cardiovascular Biomedical Research Unit, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ United Kingdom
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