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Mirinejad S, Salimi S, Sargazi S, Heidari Nia M, Sheervalilou R, Majidpour M, Harati-Sadegh M, Sarhadi M, Shahraki S, Ghasemi M. Association of Genetic Polymorphisms in Long Noncoding RNA HOTTIP with Risk of Idiopathic Recurrent Spontaneous Abortion. Biochem Genet 2024; 62:2884-2906. [PMID: 38038774 DOI: 10.1007/s10528-023-10571-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 10/26/2023] [Indexed: 12/02/2023]
Abstract
The clustered homeobox gene family known as the Hox family plays a fundamental role in the morphogenesis of the vertebrate's embryo. A long noncoding RNA (lncRNA), known as HOTTIP (HOXA transcript at the distal tip), has been functionally characterized and contributed to the pathogenesis of various conditions. The current case-control study was undertaken to examine the gene frequencies and shared alleles of the HOTTIP gene in Iranian participants with or without idiopathic recurrent spontaneous abortion (RSA). Both ARMS-PCR reaction and RFLP-PCR techniques were employed to detect three HOTTIP polymorphisms (rs2023843C/T, rs78248039A/T, and rs1859168C/A) in a DNA sample of 161 women with RSA and 177 healthy women. We found that the TT genotype of the HOTTIP rs2023843 C/T polymorphism was associated with a lower risk for idiopathic RSA. In contrast, the TT genotype of the HOTTIP rs78248039 A/T polymorphism was correlated with an enhanced risk of RSA. The presence of the A-allele for HOTTIP rs1859168 C/A polymorphism was associated with an increased risk for idiopathic RSA. Haplotype analysis showed that the T/T/A, C/T/A, T/T/C, and T/A/A haplotypes of rs2023843/rs78248039/rs1859168 enhanced RSA susceptibility. Computational analysis predicted that this lncRNA might act as a potential sponge for some microRNAs; therefore, affecting the expression of genes being targeted by them. In addition, both rs2023843 and rs1859168 variants could alter the local secondary structure of HOTTIP. Our results showed that HOTTIP rs2023843C/T, rs78248039A/T, and rs1859168C/A polymorphisms may confer genetic susceptibility to idiopathic RSA in an Iranian population.
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Affiliation(s)
- Shekoufeh Mirinejad
- Cellular and Molecular Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Saeedeh Salimi
- Department of Clinical Biochemistry, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Saman Sargazi
- Cellular and Molecular Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan, Iran.
- Department of Clinical Biochemistry, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran.
| | - Milad Heidari Nia
- Cellular and Molecular Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan, Iran
| | | | - Mahdi Majidpour
- Clinical Immunology Research Center, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Mahdiyeh Harati-Sadegh
- Genetics of Non-Communicable Disease Research Center, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Mohammad Sarhadi
- Cellular and Molecular Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Sheida Shahraki
- Cellular and Molecular Research Center, Research Institute of Cellular and Molecular Sciences in Infectious Diseases, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Marzieh Ghasemi
- Pregnancy Health Research Center, Zahedan University of Medical Sciences, Zahedan, Iran
- Moloud Infertility Center, Ali ibn Abitaleb Hospital, Zahedan University of Medical Sciences, Zahedan, Iran
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Hu Y, Lin L, Zhang L, Li Y, Cui X, Lu M, Zhang Z, Guan X, Zhang M, Hao J, Wang X, Huan J, Yang W, Li C, Li Y. Identification of Circulating Plasma Proteins as a Mediator of Hypertension-Driven Cardiac Remodeling: A Mediation Mendelian Randomization Study. Hypertension 2024; 81:1132-1144. [PMID: 38487880 PMCID: PMC11025611 DOI: 10.1161/hypertensionaha.123.22504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 02/28/2024] [Indexed: 04/19/2024]
Abstract
BACKGROUND This study focused on circulating plasma protein profiles to identify mediators of hypertension-driven myocardial remodeling and heart failure. METHODS A Mendelian randomization design was used to investigate the causal impact of systolic blood pressure (SBP), diastolic blood pressure (DBP), and pulse pressure on 82 cardiac magnetic resonance traits and heart failure risk. Mediation analyses were also conducted to identify potential plasma proteins mediating these effects. RESULTS Genetically proxied higher SBP, DBP, and pulse pressure were causally associated with increased left ventricular myocardial mass and alterations in global myocardial wall thickness at end diastole. Elevated SBP and DBP were linked to increased regional myocardial radial strain of the left ventricle (basal anterior, mid, and apical walls), while higher SBP was associated with reduced circumferential strain in specific left ventricular segments (apical, mid-anteroseptal, mid-inferoseptal, and mid-inferolateral walls). Specific plasma proteins mediated the impact of blood pressure on cardiac remodeling, with FGF5 (fibroblast growth factor 5) contributing 2.96% (P=0.024) and 4.15% (P=0.046) to the total effect of SBP and DBP on myocardial wall thickness at end diastole in the apical anterior segment and leptin explaining 15.21% (P=0.042) and 23.24% (P=0.022) of the total effect of SBP and DBP on radial strain in the mid-anteroseptal segment. Additionally, FGF5 was the only mediator, explaining 4.19% (P=0.013) and 4.54% (P=0.032) of the total effect of SBP and DBP on heart failure susceptibility. CONCLUSIONS This mediation Mendelian randomization study provides evidence supporting specific circulating plasma proteins as mediators of hypertension-driven cardiac remodeling and heart failure.
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Affiliation(s)
- Yuanlong Hu
- First Clinical Medical College (Y.H., M.Z., J. Huan, Yunlun Li), Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Lin Lin
- Innovation Research Institute of Traditional Chinese Medicine (L.L., M.L., Z.Z., X.G., J. Hao, W.Y., C.L.), Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Lei Zhang
- College of Traditional Chinese Medicine (L.Z., X.C.), Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Yuan Li
- Experimental Center (Yuan Li), Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Xinhai Cui
- College of Traditional Chinese Medicine (L.Z., X.C.), Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Mengkai Lu
- Innovation Research Institute of Traditional Chinese Medicine (L.L., M.L., Z.Z., X.G., J. Hao, W.Y., C.L.), Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Zhiyuan Zhang
- Innovation Research Institute of Traditional Chinese Medicine (L.L., M.L., Z.Z., X.G., J. Hao, W.Y., C.L.), Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Xiuya Guan
- Innovation Research Institute of Traditional Chinese Medicine (L.L., M.L., Z.Z., X.G., J. Hao, W.Y., C.L.), Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Muxin Zhang
- First Clinical Medical College (Y.H., M.Z., J. Huan, Yunlun Li), Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Jiaqi Hao
- Innovation Research Institute of Traditional Chinese Medicine (L.L., M.L., Z.Z., X.G., J. Hao, W.Y., C.L.), Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Xiaojie Wang
- Faculty of Chinese Medicine, Macau University of Science and Technology, Taipa, China (X.W.)
| | - Jiaming Huan
- First Clinical Medical College (Y.H., M.Z., J. Huan, Yunlun Li), Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Wenqing Yang
- Innovation Research Institute of Traditional Chinese Medicine (L.L., M.L., Z.Z., X.G., J. Hao, W.Y., C.L.), Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Chao Li
- Innovation Research Institute of Traditional Chinese Medicine (L.L., M.L., Z.Z., X.G., J. Hao, W.Y., C.L.), Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Yunlun Li
- First Clinical Medical College (Y.H., M.Z., J. Huan, Yunlun Li), Shandong University of Traditional Chinese Medicine, Jinan, China
- Department of Cardiovascular, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China (Yunlun Li)
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Singh S, Choudhury A, Hazelhurst S, Crowther NJ, Boua PR, Sorgho H, Agongo G, Nonterah EA, Micklesfield LK, Norris SA, Kisiangani I, Mohamed S, Gómez-Olivé FX, Tollman SM, Choma S, Brandenburg JT, Ramsay M. Genome-wide association study meta-analysis of blood pressure traits and hypertension in sub-Saharan African populations: an AWI-Gen study. Nat Commun 2023; 14:8376. [PMID: 38104120 PMCID: PMC10725455 DOI: 10.1038/s41467-023-44079-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 11/29/2023] [Indexed: 12/19/2023] Open
Abstract
Most hypertension-related genome-wide association studies (GWASs) focus on non-African populations, despite hypertension (a major risk factor for cardiovascular disease) being highly prevalent in Africa. The AWI-Gen study GWAS meta-analysis for blood pressure (BP)-related traits (systolic and diastolic BP, pulse pressure, mean-arterial pressure and hypertension) from three sub-Saharan African geographic regions (N = 10,775), identifies two novel genome-wide significant signals (p < 5E-08): systolic BP near P2RY1 (rs77846204; intergenic variant, p = 4.95E-08) and pulse pressure near LINC01256 (rs80141533; intergenic variant, p = 1.76E-08). No genome-wide signals are detected for the AWI-Gen GWAS meta-analysis with previous African-ancestry GWASs (UK Biobank (African), Uganda Genome Resource). Suggestive signals (p < 5E-06) are observed for all traits, with 29 SNPs associating with more than one trait and several replicating known associations. Polygenic risk scores (PRSs) developed from studies on different ancestries have limited transferability, with multi-ancestry PRS providing better prediction. This study provides insights into the genetics of BP variation in African populations.
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Affiliation(s)
- Surina Singh
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
- Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
| | - Ananyo Choudhury
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Scott Hazelhurst
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, South Africa
| | - Nigel J Crowther
- Department of Chemical Pathology, National Health Laboratory Service, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Palwendé R Boua
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Sante, Ouagadougou, Burkina Faso
| | - Hermann Sorgho
- Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Sante, Ouagadougou, Burkina Faso
| | - Godfred Agongo
- Department of Biochemistry and Forensic Sciences, School of Chemical and Biochemical Sciences, C.K. Tedam University of Technology and Applied Sciences, Navrongo, Ghana
- Navrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana
| | - Engelbert A Nonterah
- Navrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana
- Julius Global Health, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Lisa K Micklesfield
- SAMRC Developmental Pathways for Health Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Shane A Norris
- SAMRC Developmental Pathways for Health Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- School of Health and Human Development, University of Southampton, Southampton, UK
| | | | - Shukri Mohamed
- African Population and Health Research Center, Nairobi, Kenya
| | - Francesc X Gómez-Olivé
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Stephen M Tollman
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Solomon Choma
- Department of Medical Science, Public Health and Health Promotion, School of Health Care Sciences, Faculty of Health Sciences, University of Limpopo, Polokwane, South Africa
| | - J-T Brandenburg
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Strengthening Oncology Services, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Michèle Ramsay
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
- Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
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Singh S, Choudhury A, Hazelhurst S, Crowther N, Boua P, Sorgho H, Agongo G, Nonterah E, Micklesfield L, Norris S, Kisiangani I, Mohamed S, Gomez-Olive F, Tollman S, Choma S, Brandenburg JT, Ramsay M. Genome-wide Association Study Meta-analysis of Blood Pressure Traits and Hypertension in Sub-Saharan African Populations: An AWI-Gen Study. RESEARCH SQUARE 2023:rs.3.rs-2532794. [PMID: 36824767 PMCID: PMC9949264 DOI: 10.21203/rs.3.rs-2532794/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
Most hypertension-related genome-wide association studies (GWAS) focus on non-African populations, despite hypertension (a major risk factor for cardiovascular disease) being highly prevalent in Africa. The AWI-Gen study GWAS meta-analysis for blood pressure-related traits (systolic and diastolic blood pressure, pulse pressure, mean-arterial pressure and hypertension) from three sub-Saharan African geographic regions (N=10,775), identified two genome-wide significant signals (p<5E-08): systolic blood pressure near P2RY1 (rs77846204; intergenic variant, p=4.25E-08) and pulse pressure near Linc01256 (rs80141533; intergenic variant, p=4.25E-08). No genome-wide signals were detected for the AWI-Gen GWAS meta-analysis with previous African-ancestry GWASs (UK Biobank (African), Uganda Genome Resource). Suggestive signals (p<5E-06) were observed for all traits, with 29 displaying pleiotropic effects and several replicating known associations. Polygenic risk scores developed from studies on different ancestries had limited transferability, with multi-ancestry models providing better prediction. This study provides insights into the genetics and physiology of blood pressure variation in African populations.
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Affiliation(s)
- Surina Singh
- Sydney Brenner Institute for Molecular Bioscience (SBIMB), University of the Witwatersrand
| | | | - Scott Hazelhurst
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences & School of Electrical & Information Engineering, University of the Witwatersrand
| | - Nigel Crowther
- 11Department of Chemical Pathology, National Health Laboratory Service
| | - Palwende Boua
- Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santé
| | - Hermann Sorgho
- Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santé
| | | | | | | | - Shane Norris
- SAMRC Developmental Pathways For Health Research Unit, Department of Paediatrics & Child Health, University of the Witwatersrand, Johannesburg, South Africa
| | | | | | - Francesc Gomez-Olive
- 8MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand
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Preudhomme LK, Gellman MD, Franceschini N, Perreira KM, Fernández-Rhodes LE, Gallo LC, Isasi CR, Smoller S, Castañeda SF, Daviglus M, Hutten C, Cooper RS, Cai J, Schneiderman N, Llabre MM. Genetic and stress influences on the prevalence of hypertension among hispanics/latinos in the hispanic community health study/study of latinos (HCHS/SOL). Blood Press 2022; 31:155-163. [PMID: 35762607 DOI: 10.1080/08037051.2022.2091977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
PURPOSE The current study examined the effects of chronic stress and a genetic risk score on the presence of hypertension and elevated systolic blood pressure and diastolic blood pressure among Hispanics/Latinos in the target population of Hispanic Community Health Study/Study of Latinos. MATERIALS AND METHODS Of the participants (N = 11,623) assessed during two clinic visits (Visit 1 2008-2013 & Visit 2 2014-2018), we analysed data from 7,429 adults (50.4% female), aged 18-74, who were genotyped and responded to chronic stress questionnaires. We calculated an unweighted genetic risk score using blood pressure increasing single nucleotide polymorphisms (SNPs) found to be generalisable to Hispanics/Latinos (10 SNPs). Linear and logistic regression models were used to estimate associations between chronic stress and genetic risk score and their interaction, with prevalent Visit 2 SBP or DBP, and hypertension, respectively. Models accounted for sampling weights, stratification, and cluster design. RESULTS Chronic stress (adjusted OR = 1.18, 95%CI:1.15,1.22) and hypertension genetic risk score (adjusted OR = 1.04, 95%CI:1.01,1.07) were significantly associated with prevalent hypertension, but there was no significant interaction between the chronic stress and genetic risk score on hypertension (p = .49). genetic risk score (b = .32, 95%CI:.08, .55, R2 = .02) and chronic stress (b = .45, 95%CI:.19, .72, R2 = .11) were related to DBP, with no significant interaction (p = .62). Genetic risk score (b = .42, 95%CI:.08, .76, R2 = .01) and chronic stress (b = .80, 95%CI:.34,1.26, R2 = .11) were also related to SBP, with no significant interaction (p = .51). CONCLUSION Results demonstrate the utility of a genetic risk score for blood pressure and are consistent with literature suggesting chronic stress has a strong, direct association with elevated blood pressure among U.S. Hispanics/Latinos.
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Affiliation(s)
| | - Marc D Gellman
- University of Miami, Department of Psychology, Coral Gables, USA
| | | | | | - Lindsay E Fernández-Rhodes
- Pennsylvania State University, Biobehavioral Health - BBH Epidemiology and Genetics across Populations & Societies, University Park, USA
| | - Linda C Gallo
- San Diego State University, Department of Psychology, San Diego, USA
| | - Carmen R Isasi
- Albert Einstein College of Medicine, Department of Epidemiology & Population Health, Bronx, USA
| | - Sylvia Smoller
- Albert Einstein College of Medicine, Department of Epidemiology & Population Health, Bronx, USA
| | | | - Martha Daviglus
- University of Illinois at Chicago, Department of Medicine, Chicago, USA
| | - Christina Hutten
- University of Illinois at Chicago, Department of Epidemiology and Biostatistics, Chicago, USA
| | - Richard S Cooper
- Loyola University-Chicago, Department of Public Health Sciences, Chicago, USA
| | - Jianwen Cai
- UNC-Chapel Hill, Department of Epidemiology, Chapel Hill, USA
| | | | - Maria M Llabre
- University of Miami, Department of Psychology, Coral Gables, USA
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Zu T, Lian H, Green B, Yu Y. Ultra-high Dimensional Quantile Regression for Longitudinal Data: an Application to Blood Pressure Analysis. J Am Stat Assoc 2022. [DOI: 10.1080/01621459.2022.2128806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Affiliation(s)
- Tianhai Zu
- Department of Operations, Business Analytics, & Information Systems, University of Cincinnati, Cincinnati, Ohio, USA
| | - Heng Lian
- Department of Mathematics, City University of Hong Kong, Tat Chee Avenue, Kowloon Tong Hong Kong, China
| | - Brittany Green
- Department of Information Systems, Analytics, and Operations, University of Louisville, Louisville, Kentucky, USA
| | - Yan Yu
- Department of Operations, Business Analytics, & Information Systems, University of Cincinnati, Cincinnati, Ohio, USA
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7
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Singh S, Brandenburg JT, Choudhury A, Gómez-Olivé FX, Ramsay M. Systematic Review of Genomic Associations with Blood Pressure and Hypertension in Populations with African-Ancestry. Front Genet 2021; 12:699445. [PMID: 34745203 PMCID: PMC8564494 DOI: 10.3389/fgene.2021.699445] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 09/10/2021] [Indexed: 11/25/2022] Open
Abstract
Background: Despite hypertension being highly prevalent in individuals with African-ancestry, they are under-represented in large genome-wide association studies. Inclusion of African participants is essential to better understand genetic associations with blood pressure-related traits in Africans. This systematic review critically evaluates existing studies with African-ancestry participants and identifies knowledge gaps. Methods: We followed the PRISMA protocol, HuGE Review handbook to identify literature on original research, in English, on genetic association studies for blood pressure-related traits (systolic and diastolic blood pressure, pulse and mean-arterial pressure, and hypertension) in populations with African-ancestry (January 2007 to April 2020). A narrative synthesis of the evidence was conducted. Results: Twelve studies with African-ancestry participants met the eligibility criteria, within which 10 studies met the additional genetic association data criteria (i.e., reporting only on African-ancestry participants). Across the five blood pressure-related traits, 26 genome-wide significantly associated SNPs were identified, with six SNPs linked to more than one trait, illustrating pleiotropic effects. Among the SNP associations, 12 had not previously been described in non-African studies. Discussion: The limited number of relevant studies highlights the dearth of genomic association studies on participants with African-ancestry, especially those located within Africa. Variations in study methodology, participant inclusion, adjustment for covariates (e.g., antihypertensive medication) and relatively small sample sizes make comparisons challenging, and have resulted in fewer significant associations, compared to large European studies. Regional variation in the prevalence and associated risk factors of hypertension across Africa makes a compelling argument to develop African cohorts to facilitate large genomic studies, using African-centric arrays. Data harmonisation and comparable study designs, such as described in the H3Africa CHAIR initiative, provide a good example toward achieving this goal. Other relevant information: SS and J-TB were funded by the South African National Research Foundation. MR is a South African Research Chair in Genomics and Bioinformatics of African populations hosted by the University of the Witwatersrand, funded by the Department of Science and Innovation, and administered by the NRF. This review was registered at PROSPERO (registration number: CRD42020179221) and OSF (registration DOI: 10.17605/OSF.IO/QT2HA).
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Affiliation(s)
- S Singh
- Sydney Brenner Institute for Molecular Bioscience (SBIMB), Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Division of Human Genetics, School of Pathology, National Health Laboratory Service and Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - J-T Brandenburg
- Sydney Brenner Institute for Molecular Bioscience (SBIMB), Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - A Choudhury
- Sydney Brenner Institute for Molecular Bioscience (SBIMB), Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - F X Gómez-Olivé
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
| | - M Ramsay
- Sydney Brenner Institute for Molecular Bioscience (SBIMB), Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Division of Human Genetics, School of Pathology, National Health Laboratory Service and Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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8
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Dlamini SN, Choudhury A, Ramsay M, Micklesfield LK, Norris SA, Crowther NJ, Crawford AA, Walker BR, Lombard Z, Goedecke JH. Associations Between CYP17A1 and SERPINA6/A1 Polymorphisms, and Cardiometabolic Risk Factors in Black South Africans. Front Genet 2021; 12:687335. [PMID: 34484290 PMCID: PMC8414563 DOI: 10.3389/fgene.2021.687335] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 07/20/2021] [Indexed: 01/11/2023] Open
Abstract
Research in European and Asian populations has reported associations between single nucleotide polymorphisms (SNPs) in CYP17A1 and SERPINA6/A1 and circulating glucocorticoid concentrations, and some key cardiometabolic risk factors. This study aimed to investigate these associations in black South African adults, who are disproportionally affected by the metabolic syndrome and its related cardiometabolic risk factors. The dataset included black South African adults (n = 4,431; 56.7% women) from the AWI-Gen study, genotyped on the H3A genotyping array and imputed using the African reference panel at the Sanger imputation service. From the imputed data, 31 CYP17A1 SNPs and 550 SERPINA6/A1 SNPs were extracted. The metabolic syndrome and its components were defined using the 2009 harmonized guidelines. Serum glucocorticoid concentrations were measured in a subset of 304 men and 573 women, using a liquid chromatography-mass spectrometry method. Genetic associations were detected using PLINK. Bonferroni correction was used to control for multiple testing. A SNP at SERPINA6/A1, rs17090691 (effect allele G), was associated with higher diastolic blood pressure (BP) in all adults combined (p = 9.47 × 10-6). Sex-stratified analyses demonstrated an association between rs1051052 (effect allele G), another SERPINA6/A1 SNP, and higher high-density lipoprotein (HDL) cholesterol concentrations in women (p = 1.23 × 10-5). No association was observed between these variants and glucocorticoids or between any of the CYP17A1 SNPs and metabolic outcomes after adjusting for multiple testing. Furthermore, there were no associations between any of the SNPs tested and the metabolic syndrome. This study reports novel genetic associations between two SNPs at SERPINA6/A1 and key cardiometabolic risk factors in black South Africans. Future replication and functional studies in larger populations are required to confirm the role of the identified SNPs in the metabolic syndrome and assess if these associations are mediated by circulating glucocorticoids.
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Affiliation(s)
- Siphiwe N. Dlamini
- South African Medical Research Council/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Non-communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
| | - Ananyo Choudhury
- Faculty of Health Sciences, Sydney Brenner Institute for Molecular Bioscience, University of the Witwatersrand, Johannesburg, South Africa
| | - Michèle Ramsay
- Faculty of Health Sciences, Sydney Brenner Institute for Molecular Bioscience, University of the Witwatersrand, Johannesburg, South Africa
| | - Lisa K. Micklesfield
- South African Medical Research Council/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Shane A. Norris
- South African Medical Research Council/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Nigel J. Crowther
- Department of Chemical Pathology, National Health Laboratory Service, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Andrew A. Crawford
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
| | - Brian R. Walker
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Zané Lombard
- Division of Human Genetics, National Health Laboratory Service, Faculty of Health Sciences, School of Pathology, University of the Witwatersrand, Johannesburg, South Africa
| | - Julia H. Goedecke
- South African Medical Research Council/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Non-communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
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9
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Salazar P, Konda S, Sridhar A, Arbieva Z, Daviglus M, Darbar D, Rehman J. Common genetic variation in circadian clock genes are associated with cardiovascular risk factors in an African American and Hispanic/Latino cohort. IJC HEART & VASCULATURE 2021; 34:100808. [PMID: 34141862 PMCID: PMC8188044 DOI: 10.1016/j.ijcha.2021.100808] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 05/20/2021] [Accepted: 05/24/2021] [Indexed: 12/14/2022]
Abstract
Misalignment of the internal circadian time with external physical time due to environmental factors or due to genetic variantion in circadian clock genes has been associated with increased incidence of cardiovascular risk factors. Common genetic variation in circadian genes in the United States have been identified predominantly in European ancestry individuals. We therefore examined the association between circadian clock single nucleotide polymorphisms (SNPs) in Clock, Cry1, Cry2, Bmal1 and Per3 genes and cardiovascular risk factors in African Americans and Hispanic/Latinos. We analyzed 17 candidate circadian SNPs in 1,166 subjects who self-identified as African-American or Hispanic/Latino and were enrolled in the UIC Cohort of Patients, Family and Friends. We found significant differences in the minor allele frequencies between African American and Hispanic/Latino subjects. Our analyses also established ethnic-specific SNPs that are associated with cardiovascular risk factors. In Hispanic/Latinos, the rs6850524 in Clock was associated with increased risk for hypertension, meanwhile rs12649507, rs4864546, and rs4864548 reduced the risk, also rs8192440 (Cry1) reduced the risk for type 2 diabetes. In African Americans, the Clock rs1801260 and rs6850524 were negatively associated with the presence of obesity; Bmal1 rs11022775 reduced the risk for dyslipidemia; and the Cry2 rs2292912 increased the risk for dyslipidemia and diabetes. Genetic variations in candidate circadian-clock genes are associated with risk factors for cardiovascular disease in African-Americans and Hispanic/Latinos. Our findings may help to improve cardiovascular risk assessment as well as better understand how circadian misalignment impacts cardiovascular risk in diverse populations.
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Affiliation(s)
- Pablo Salazar
- Department of Medicine, Division of Cardiology, University of Illinois at Chicago, Chicago, IL, USA
| | - Sreenivas Konda
- Division of Epidemiology and Biostatics, School of Public Health, University of Illinois at Chicago, Chicago, IL, USA
| | - Arvind Sridhar
- Department of Medicine, Division of Cardiology, University of Illinois at Chicago, Chicago, IL, USA
| | - Zarema Arbieva
- Genomics Core, Research Resources Center, University of Illinois at Chicago, Chicago, IL, USA
| | - Martha Daviglus
- Department of Medicine, Division of Cardiology, University of Illinois at Chicago, Chicago, IL, USA
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
| | - Dawood Darbar
- Department of Medicine, Division of Cardiology, University of Illinois at Chicago, Chicago, IL, USA
- Corresponding authors at: The University of Illinois, College of Medicine, 835 South Wolcott Avenue, RM. E403, Mailcode 868, Chicago, IL 60612, USA.
| | - Jalees Rehman
- Department of Medicine, Division of Cardiology, University of Illinois at Chicago, Chicago, IL, USA
- Department of Pharmacology and Regenerative Medicine, The University of Illinois, College of Medicine, Chicago, IL, USA
- Corresponding authors at: The University of Illinois, College of Medicine, 835 South Wolcott Avenue, RM. E403, Mailcode 868, Chicago, IL 60612, USA.
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10
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Lei Y, Ludorf KL, Yu X, Benjamin RH, Gu X, Lin Y, Finnell RH, Mitchell LE, Musfee FI, Malik S, Canfield MA, Morrison AC, Hobbs CA, Van Zutphen AR, Fisher S, Agopian AJ. Maternal Hypertension-Related Genotypes and Congenital Heart Defects. Am J Hypertens 2021; 34:82-91. [PMID: 32710738 PMCID: PMC7891240 DOI: 10.1093/ajh/hpaa116] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 04/05/2020] [Accepted: 07/20/2020] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Maternal hypertension has been associated with congenital heart defect occurrence in several studies. We assessed whether maternal genotypes associated with this condition were also associated with congenital heart defect occurrence. METHODS We used data from the National Birth Defects Prevention Study to identify non-Hispanic white (NHW) and Hispanic women with (cases) and without (controls) a pregnancy in which a select simple, isolated heart defect was present between 1999 and 2011. We genotyped 29 hypertension-related single nucleotide polymorphisms (SNPs). We conducted logistic regression analyses separately by race/ethnicity to assess the relationship between the presence of any congenital heart defect and each SNP and an overall blood pressure genetic risk score (GRS). All analyses were then repeated to assess 4 separate congenital heart defect subtypes. RESULTS Four hypertension-related variants were associated with congenital heart defects among NHW women (N = 1,568 with affected pregnancies). For example, 1 intronic variant in ARHGAP2, rs633185, was associated with conotruncal defects (odds ratio [OR]: 1.3, 95% confidence interval [CI]: 1.1-1.6). Additionally, 2 variants were associated with congenital heart defects among Hispanic women (N = 489 with affected pregnancies). The GRS had a significant association with septal defects (OR: 2.1, 95% CI: 1.2-3.5) among NHW women. CONCLUSIONS We replicated a previously reported association between rs633185 and conotruncal defects. Although additional hypertension-related SNPs were also associated with congenital heart defects, more work is needed to better understand the relationship between genetic risk for maternal hypertension and congenital heart defects occurrence.
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Affiliation(s)
- Yunping Lei
- Department of Molecular and Cellular Biology and Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - Katherine L Ludorf
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas, USA
| | - Xiao Yu
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas, USA
| | - Renata H Benjamin
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas, USA
| | - Xue Gu
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, Texas, USA
| | - Ying Lin
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, Texas, USA
| | - Richard H Finnell
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, Texas, USA
| | - Laura E Mitchell
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas, USA
| | - Fadi I Musfee
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas, USA
| | - Sadia Malik
- Pediatric Cardiology, Department of Pediatrics, UT Southwestern Children’s Medical Center, Dallas, Texas, USA
| | - Mark A Canfield
- Birth Defects Epidemiology and Surveillance Branch, Texas Department of State Health Services, Austin, Texas, USA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas, USA
| | - Charlotte A Hobbs
- Rady Children’s Institute for Genomic Medicine, San Diego, California, USA
| | - Alissa R Van Zutphen
- New York State Department of Health, Bureau of Environmental and Occupational Epidemiology, Albany, New York, USA
| | - Sarah Fisher
- New York State Department of Health, Bureau of Environmental and Occupational Epidemiology, Albany, New York, USA
| | - A J Agopian
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas, USA
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11
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Qian H, Kowalski MH, Kramer HJ, Tao R, Lash JP, Stilp AM, Cai J, Li Y, Franceschini N. Genome-Wide Association of Kidney Traits in Hispanics/Latinos Using Dense Imputed Whole-Genome Sequencing Data: The Hispanic Community Health Study/Study of Latinos. CIRCULATION-GENOMIC AND PRECISION MEDICINE 2020; 13:e002891. [PMID: 32600054 DOI: 10.1161/circgen.119.002891] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Genetic factors that influence kidney traits have been understudied for low-frequency and ancestry-specific variants. METHODS This study used imputed whole-genome sequencing from the Trans-Omics for Precision Medicine project to identify novel loci for estimated glomerular filtration rate and urine albumin-to-creatinine ratio in up to 12 207 Hispanics/Latinos. Replication was performed in the Women's Health Initiative and the UK Biobank when variants were available. RESULTS Two low-frequency intronic variants were associated with estimated glomerular filtration rate (rs58720902 at AQR, minor allele frequency=0.01, P=1.6×10-8) or urine albumin-to-creatinine ratio (rs527493184 at ZBTB16, minor allele frequency=0.002, P=1.1×10-8). An additional variant at PRNT (rs2422935, minor allele frequency=0.54, P=2.89×10-8) was significantly associated with estimated glomerular filtration rate in meta-analysis with replication samples. We also identified 2 known loci for urine albumin-to-creatinine ratio (BCL2L11 rs116907128, P=5.6×10-8 and HBB rs344, P=9.3×10-11) and validated 8 loci for urine albumin-to-creatinine ratio previously identified in the UK Biobank. CONCLUSIONS Our study shows gains in gene discovery when using dense imputation from multi-ethnic whole-genome sequencing data in admixed Hispanics/Latinos. It also highlights limitations in genetic research of kidney traits, including the lack of suitable replication samples for variants that are more common in non-European ancestry and those at low frequency in populations.
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Affiliation(s)
- Huijun Qian
- Department of Statistics and Operations Research (H.Q., M.H.K.), University of North Carolina, Chapel Hill
| | - Madeline H Kowalski
- Department of Statistics and Operations Research (H.Q., M.H.K.), University of North Carolina, Chapel Hill
| | - Holly J Kramer
- Departments of Biostatistics (J.C.), University of North Carolina, Chapel Hill
| | - Ran Tao
- Department of Biostatistics (R.T.), Vanderbilt University Medical Center, Nashville, TN.,Vanderbilt Genetics Institute (R.T.), Vanderbilt University Medical Center, Nashville, TN
| | - James P Lash
- Division of Nephrology, Department of Medicine, University of Illinois, Chicago, IL (J.P.L.)
| | - Adrienne M Stilp
- Department of Biostatistics, University of Washington, Seattle (A.M.S.)
| | - Jianwen Cai
- Departments of Biostatistics (J.C.), University of North Carolina, Chapel Hill
| | - Yun Li
- Department of Genetics (Y.L.), University of North Carolina, Chapel Hill
| | - Nora Franceschini
- Department of Epidemiology (N.F.), University of North Carolina, Chapel Hill
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12
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Bentley AR, Callier SL, Rotimi CN. Evaluating the promise of inclusion of African ancestry populations in genomics. NPJ Genom Med 2020; 5:5. [PMID: 32140257 PMCID: PMC7042246 DOI: 10.1038/s41525-019-0111-x] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Accepted: 12/16/2019] [Indexed: 12/24/2022] Open
Abstract
The lack of representation of diverse ancestral backgrounds in genomic research is well-known, and the resultant scientific and ethical limitations are becoming increasingly appreciated. The paucity of data on individuals with African ancestry is especially noteworthy as Africa is the birthplace of modern humans and harbors the greatest genetic diversity. It is expected that greater representation of those with African ancestry in genomic research will bring novel insights into human biology, and lead to improvements in clinical care and improved understanding of health disparities. Now that major efforts have been undertaken to address this failing, is there evidence of these anticipated advances? Here, we evaluate the promise of including diverse individuals in genomic research in the context of recent literature on individuals of African ancestry. In addition, we discuss progress and achievements on related technological challenges and diversity among scientists conducting genomic research.
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Affiliation(s)
- Amy R. Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA
| | - Shawneequa L. Callier
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA
- Department of Clinical Research and Leadership, The George Washington University School of Medicine and Health Sciences, Washington, DC USA
| | - Charles N. Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA
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13
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Duan W, Hicks J, Makara MA, Ilkayeva O, Abraham DM. TASK-1 and TASK-3 channels modulate pressure overload-induced cardiac remodeling and dysfunction. Am J Physiol Heart Circ Physiol 2020; 318:H566-H580. [PMID: 31977249 DOI: 10.1152/ajpheart.00739.2018] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Tandem pore domain acid-sensitive K+ (TASK) channels are present in cardiac tissue; however, their contribution to cardiac pathophysiology is not well understood. Here, we investigate the role of TASK-1 and TASK-3 in the pathogenesis of cardiac dysfunction using both human tissue and mouse models of genetic TASK channel loss of function. Compared with normal human cardiac tissue, TASK-1 gene expression is reduced in association with either cardiac hypertrophy alone or combined cardiac hypertrophy and heart failure. In a pressure overload cardiomyopathy model, TASK-1 global knockout (TASK-1 KO) mice have both reduced cardiac hypertrophy and preserved cardiac function compared with wild-type mice. In contrast to the TASK-1 KO mouse pressure overload response, TASK-3 global knockout (TASK-3 KO) mice develop cardiac hypertrophy and a delayed onset of cardiac dysfunction compared with wild-type mice. The cardioprotective effects observed in TASK-1 KO mice are associated with pressure overload-induced augmentation of AKT phosphorylation and peroxisome proliferator-activated receptor-γ coactivator-1α (PGC-1α) expression, with consequent augmentation of cardiac energetics and fatty acid oxidation. The protective effects of TASK-1 loss of function are associated with an enhancement of physiologic hypertrophic signaling and preserved metabolic functions. These findings may provide a rationale for TASK-1 channel inhibition in the treatment of cardiac dysfunction.NEW & NOTEWORTHY The role of tandem pore domain acid-sensitive K+ (TASK) channels in cardiac function is not well understood. This study demonstrates that TASK channel gene expression is associated with the onset of human cardiac hypertrophy and heart failure. TASK-1 and TASK-3 strongly affect the development of pressure overload cardiomyopathies in genetic models of TASK-1 and TASK-3 loss of function. The effects of TASK-1 loss of function were associated with enhanced AKT phosphorylation and expression of peroxisome proliferator-activated receptor-γ coactivator-1 (PGC-1) transcription factor. These data suggest that TASK channels influence the development of cardiac hypertrophy and dysfunction in response to injury.
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Affiliation(s)
- Wei Duan
- Department of Medicine, Duke University Medical Center, Durham, North Carolina
| | - Jonné Hicks
- Department of Medicine, Duke University Medical Center, Durham, North Carolina
| | | | - Olga Ilkayeva
- Duke Molecular Physiology Institute, Duke University, Durham, North Carolina
| | - Dennis M Abraham
- Department of Medicine, Duke University Medical Center, Durham, North Carolina
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14
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Pendergrass SA, Buyske S, Jeff JM, Frase A, Dudek S, Bradford Y, Ambite JL, Avery CL, Buzkova P, Deelman E, Fesinmeyer MD, Haiman C, Heiss G, Hindorff LA, Hsu CN, Jackson RD, Lin Y, Le Marchand L, Matise TC, Monroe KR, Moreland L, North KE, Park SL, Reiner A, Wallace R, Wilkens LR, Kooperberg C, Ritchie MD, Crawford DC. A phenome-wide association study (PheWAS) in the Population Architecture using Genomics and Epidemiology (PAGE) study reveals potential pleiotropy in African Americans. PLoS One 2019; 14:e0226771. [PMID: 31891604 PMCID: PMC6938343 DOI: 10.1371/journal.pone.0226771] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 12/03/2019] [Indexed: 12/11/2022] Open
Abstract
We performed a hypothesis-generating phenome-wide association study (PheWAS) to identify and characterize cross-phenotype associations, where one SNP is associated with two or more phenotypes, between thousands of genetic variants assayed on the Metabochip and hundreds of phenotypes in 5,897 African Americans as part of the Population Architecture using Genomics and Epidemiology (PAGE) I study. The PAGE I study was a National Human Genome Research Institute-funded collaboration of four study sites accessing diverse epidemiologic studies genotyped on the Metabochip, a custom genotyping chip that has dense coverage of regions in the genome previously associated with cardio-metabolic traits and outcomes in mostly European-descent populations. Here we focus on identifying novel phenome-genome relationships, where SNPs are associated with more than one phenotype. To do this, we performed a PheWAS, testing each SNP on the Metabochip for an association with up to 273 phenotypes in the participating PAGE I study sites. We identified 133 putative pleiotropic variants, defined as SNPs associated at an empirically derived p-value threshold of p<0.01 in two or more PAGE study sites for two or more phenotype classes. We further annotated these PheWAS-identified variants using publicly available functional data and local genetic ancestry. Amongst our novel findings is SPARC rs4958487, associated with increased glucose levels and hypertension. SPARC has been implicated in the pathogenesis of diabetes and is also known to have a potential role in fibrosis, a common consequence of multiple conditions including hypertension. The SPARC example and others highlight the potential that PheWAS approaches have in improving our understanding of complex disease architecture by identifying novel relationships between genetic variants and an array of common human phenotypes.
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Affiliation(s)
| | - Steven Buyske
- Department of Statistics, Rutgers University, Piscataway, New Jersey, United States of America
- Department of Genetics, Rutgers University, Piscataway, New Jersey, United States of America
| | - Janina M. Jeff
- Illumina, Inc., San Diego, California, United States of America
| | - Alex Frase
- Department of Genetics, Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Scott Dudek
- Department of Genetics, Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Yuki Bradford
- Department of Genetics, Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Jose-Luis Ambite
- Information Sciences Institute; University of Southern California, Marina del Rey, California, United States of America
| | - Christy L. Avery
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Petra Buzkova
- Department of Biostatistics, University of Washington, Seattle, Washington, United States of America
| | - Ewa Deelman
- Information Sciences Institute; University of Southern California, Marina del Rey, California, United States of America
| | | | - Christopher Haiman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California, United States of America
| | - Gerardo Heiss
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Lucia A. Hindorff
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Chun-Nan Hsu
- Center for Research in Biological Systems, Department of Neurosciences, University of California, San Diego, La Jolla, California, United States of America
| | | | - Yi Lin
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America
| | - Tara C. Matise
- Department of Genetics, Rutgers University, Piscataway, New Jersey, United States of America
| | - Kristine R. Monroe
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California, United States of America
| | - Larry Moreland
- University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Kari E. North
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America
- Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Sungshim L. Park
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, California, United States of America
| | - Alex Reiner
- Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
| | - Robert Wallace
- Departments of Epidemiology and Internal Medicine, University of Iowa, Iowa City, Iowa, United States of America
| | - Lynne R. Wilkens
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Marylyn D. Ritchie
- Department of Genetics, Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Dana C. Crawford
- Cleveland Institute for Computational Biology, Cleveland, Ohio, United States of America
- Departments of Population and Quantitative Health Sciences and Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio, United States of America
- * E-mail:
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15
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Hollister BM, Farber-Eger E, Aldrich MC, Crawford DC. A Social Determinant of Health May Modify Genetic Associations for Blood Pressure: Evidence From a SNP by Education Interaction in an African American Population. Front Genet 2019; 10:428. [PMID: 31134134 PMCID: PMC6523518 DOI: 10.3389/fgene.2019.00428] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Accepted: 04/18/2019] [Indexed: 01/11/2023] Open
Abstract
African Americans experience the highest burden of hypertension in the United States compared with other groups. Genetic contributions to this complex condition are now emerging in this as well as other populations through large-scale genome-wide association studies (GWAS) and meta-analyses. Despite these recent discovery efforts, relatively few large-scale studies of blood pressure have considered the joint influence of genetics and social determinants of health despite extensive evidence supporting their impact on hypertension. To identify these expected interactions, we accessed a subset of the Vanderbilt University Medical Center (VUMC) biorepository linked to de-identified electronic health records (EHRs) of adult African Americans genotyped using the Illumina Metabochip (n = 2,577). To examine potential interactions between education, a recognized social determinant of health, and genetic variants contributing to blood pressure, we used linear regression models to investigate two-way interactions for systolic and diastolic blood pressure (DBP). We identified a two-way interaction between rs6687976 and education affecting DBP (p = 0.052). Individuals homozygous for the minor allele and having less than a high school education had higher DBP compared with (1) individuals homozygous for the minor allele and high school education or greater and (2) individuals not homozygous for the minor allele and less than a high school education. To our knowledge, this is the first EHR -based study to suggest a gene-environment interaction for blood pressure in African Americans, supporting the hypothesis that genetic contributions to hypertension may be modulated by social factors.
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Affiliation(s)
- Brittany M Hollister
- Social and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Eric Farber-Eger
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Melinda C Aldrich
- Department of Thoracic Surgery, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Dana C Crawford
- Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, OH, United States
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16
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Sanghera DK, Bejar C, Sharma S, Gupta R, Blackett PR. Obesity genetics and cardiometabolic health: Potential for risk prediction. Diabetes Obes Metab 2019; 21:1088-1100. [PMID: 30667137 PMCID: PMC6530772 DOI: 10.1111/dom.13641] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2018] [Revised: 01/17/2019] [Accepted: 01/19/2019] [Indexed: 02/06/2023]
Abstract
The increasing burden of obesity worldwide and its effect on cardiovascular disease (CVD) risk is an opportunity for evaluation of preventive approaches. Both obesity and CVD have a genetic background and polymorphisms within genes which enhance expression of variant proteins that influence CVD in obesity. Genome-based prediction may therefore be a feasible strategy, but the identification of genetically driven risk factors for CVD manifesting as clinically recognized phenotypes is a major challenge. Clusters of such risk factors include hyperglycaemia, hypertension, ectopic liver fat, and inflammation. All involve multiple genetic pathways having complex interactions with variable environmental influences. The factors that make significant contributions to CVD risk include altered carbohydrate homeostasis, ectopic deposition of fat in muscle and liver, and inflammation, with contributions from the gut microbiome. A futuristic model depends on harnessing the predictive power of plausible genetic variants, phenotype reversibility, and effective therapeutic choices based on genotype-phenotype interactions. Inverting disease phenotypes into ideal cardiovascular health metrics could improve genetic and epigenetic assessment, and form the basis of a future model for risk detection and early intervention.
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Affiliation(s)
- Dharambir K. Sanghera
- Department of Pediatrics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Department of Pharmaceutical Sciences, College of Pharmacy, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Harold Hamm Diabetes Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Oklahoma Center for Neuroscience, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- (Corresponding authors) Dharambir K. Sanghera, Ph.D., F.A.H.A., Department of Pediatrics, Section of Genetics, University of Oklahoma Health Sciences Center, 940 Stanton L. Young Blvd., Rm. D317 BMSB, Oklahoma City, OK 73104, USA, , Piers R. Blackett, M.D., Department of Pediatrics, Section of Endocrinology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA,
| | - Cynthia Bejar
- Department of Pediatrics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Sonali Sharma
- Department of Biochemistry, College of Medical Sciences, Rajasthan University of Health Sciences, Kumbha Marg, Pratap Nagar, Jaipur 302033, India
| | - Rajeev Gupta
- Academic Research Development Unit, College of Medical Sciences, Rajasthan University of Health Sciences, Kumbha Marg, Pratap Nagar, Jaipur 302033, India
| | - Piers R. Blackett
- Department of Pediatrics, College of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- Harold Hamm Diabetes Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- (Corresponding authors) Dharambir K. Sanghera, Ph.D., F.A.H.A., Department of Pediatrics, Section of Genetics, University of Oklahoma Health Sciences Center, 940 Stanton L. Young Blvd., Rm. D317 BMSB, Oklahoma City, OK 73104, USA, , Piers R. Blackett, M.D., Department of Pediatrics, Section of Endocrinology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA,
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17
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Bien SA, Wojcik GL, Hodonsky CJ, Gignoux CR, Cheng I, Matise TC, Peters U, Kenny EE, North KE. The Future of Genomic Studies Must Be Globally Representative: Perspectives from PAGE. Annu Rev Genomics Hum Genet 2019; 20:181-200. [PMID: 30978304 DOI: 10.1146/annurev-genom-091416-035517] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The past decade has seen a technological revolution in human genetics that has empowered population-level investigations into genetic associations with phenotypes. Although these discoveries rely on genetic variation across individuals, association studies have overwhelmingly been performed in populations of European descent. In this review, we describe limitations faced by single-population studies and provide an overview of strategies to improve global representation in existing data sets and future human genomics research via diversity-focused, multiethnic studies. We highlight the successes of individual studies and meta-analysis consortia that have provided unique knowledge. Additionally, we outline the approach taken by the Population Architecture Using Genomics and Epidemiology (PAGE) study to develop best practices for performing genetic epidemiology in multiethnic contexts. Finally, we discuss how limiting investigations to single populations impairs findings in the clinical domain for both rare-variant identification and genetic risk prediction.
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Affiliation(s)
- Stephanie A Bien
- Department of Public Health Science, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA; ,
| | - Genevieve L Wojcik
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, California 94305, USA;
| | - Chani J Hodonsky
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA; ,
| | - Christopher R Gignoux
- Colorado Center for Personalized Medicine, Anschutz Medical Campus, University of Colorado, Aurora, Colorado 80045, USA;
| | - Iona Cheng
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California 94158, USA;
| | - Tara C Matise
- Department of Genetics, Rutgers University, New Brunswick, New Jersey 08554, USA;
| | - Ulrike Peters
- Department of Public Health Science, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA; ,
| | - Eimear E Kenny
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA;
| | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA; ,
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18
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Kolifarhood G, Daneshpour MS, Khayat BS, Saadati HM, Guity K, Khosravi N, Akbarzadeh M, Sabour S. Generality of genomic findings on blood pressure traits and its usefulness in precision medicine in diverse populations: A systematic review. Clin Genet 2019; 96:17-27. [PMID: 30820929 DOI: 10.1111/cge.13527] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Revised: 02/14/2019] [Accepted: 02/21/2019] [Indexed: 01/01/2023]
Abstract
Remarkable findings from genome-wide association studies (GWAS) on blood pressure (BP) traits have made new insights for developing precision medicine toward more effective screening measures. However, generality of GWAS findings in diverse populations is hampered by some technical limitations. There is no comprehensive study to evaluate source(s) of the non-generality of GWAS results on BP traits, so to fill the gap, this systematic review study was carried out. Using MeSH terms, 1545 records were detected through searching in five databases and 49 relevant full-text articles were included in our review. Overall, 749 unique variants were reported, of those, majority of variants have been detected in Europeans and were associated to systolic and diastolic BP traits. Frequency of genetic variants with same position was low in European and non-European populations (n = 38). However, more than 200 (>25%) single nucleotide polymorphisms were found on same loci or linkage disequilibrium blocks (r2 ≥ 80%). Investigating for locus position and linkage disequilibrium of infrequent unique variants showed modest to high reproducibility of findings in Europeans that in some extent was generalizable in other populations. Beyond theoretical limitations, our study addressed other possible sources of non-generality of GWAS findings for BP traits in the same and different origins.
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Affiliation(s)
- Goodarz Kolifarhood
- Department of Epidemiology, School of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam S Daneshpour
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Bahareh S Khayat
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hossein M Saadati
- Department of Epidemiology, School of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Kamran Guity
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Nasim Khosravi
- Department of Community Health Nursing, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran
| | - Mahdi Akbarzadeh
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Siamak Sabour
- Department of Epidemiology, School of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran.,Safety Promotion and Injury Prevention Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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19
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Soares-Souza G, Borda V, Kehdy F, Tarazona-Santos E. Admixture, Genetics and Complex Diseases in Latin Americans and US Hispanics. CURRENT GENETIC MEDICINE REPORTS 2018. [DOI: 10.1007/s40142-018-0151-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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20
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Schaid DJ, Chen W, Larson NB. From genome-wide associations to candidate causal variants by statistical fine-mapping. Nat Rev Genet 2018; 19:491-504. [PMID: 29844615 PMCID: PMC6050137 DOI: 10.1038/s41576-018-0016-z] [Citation(s) in RCA: 478] [Impact Index Per Article: 79.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Advancing from statistical associations of complex traits with genetic markers to understanding the functional genetic variants that influence traits is often a complex process. Fine-mapping can select and prioritize genetic variants for further study, yet the multitude of analytical strategies and study designs makes it challenging to choose an optimal approach. We review the strengths and weaknesses of different fine-mapping approaches, emphasizing the main factors that affect performance. Topics include interpreting results from genome-wide association studies (GWAS), the role of linkage disequilibrium, statistical fine-mapping approaches, trans-ethnic studies, genomic annotation and data integration, and other analysis and design issues.
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Affiliation(s)
- Daniel J Schaid
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA.
| | - Wenan Chen
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Nicholas B Larson
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
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21
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Admixture mapping in the Hispanic Community Health Study/Study of Latinos reveals regions of genetic associations with blood pressure traits. PLoS One 2017; 12:e0188400. [PMID: 29155883 PMCID: PMC5695820 DOI: 10.1371/journal.pone.0188400] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Accepted: 11/06/2017] [Indexed: 01/11/2023] Open
Abstract
Admixture mapping can be used to detect genetic association regions in admixed populations, such as Hispanics/Latinos, by estimating associations between local ancestry allele counts and the trait of interest. We performed admixture mapping of the blood pressure traits systolic and diastolic blood pressure (SBP, DBP), mean arterial pressure (MAP), and pulse pressure (PP), in a dataset of 12,116 participants from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Hispanics/Latinos have three predominant ancestral populations (European, African, and Amerindian), for each of which we separately tested local ancestry intervals across the genome. We identified four regions that were significantly associated with a blood pressure trait at the genome-wide admixture mapping level. A 6p21.31 Amerindian ancestry association region has multiple known associations, but none explained the admixture mapping signal. We identified variants that completely explained this signal. One of these variants had p-values of 0.02 (MAP) and 0.04 (SBP) in replication testing in Pima Indians. A 11q13.4 Amerindian ancestry association region spans a variant that was previously reported (p-value = 0.001) in a targeted association study of Blood Pressure (BP) traits and variants in the vitamin D pathway. There was no replication evidence supporting an association in the identified 17q25.3 Amerindian ancestry association region. For a region on 6p12.3, associated with African ancestry, we did not identify any candidate variants driving the association. It may be driven by rare variants. Whole genome sequence data may be necessary to fine map these association signals, which may contribute to disparities in BP traits between diverse populations.
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22
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Sofer T, Wong Q, Hartwig FP, Taylor K, Warren HR, Evangelou E, Cabrera CP, Levy D, Kramer H, Lange LA, Horta BL, Kerr KF, Reiner AP, Franceschini N. Genome-Wide Association Study of Blood Pressure Traits by Hispanic/Latino Background: the Hispanic Community Health Study/Study of Latinos. Sci Rep 2017; 7:10348. [PMID: 28871152 PMCID: PMC5583292 DOI: 10.1038/s41598-017-09019-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2017] [Accepted: 07/14/2017] [Indexed: 12/13/2022] Open
Abstract
Hypertension prevalence varies between ethnic groups, possibly due to differences in genetic, environmental, and cultural determinants. Hispanic/Latino Americans are a diverse and understudied population. We performed a genome-wide association study (GWAS) of blood pressure (BP) traits in 12,278 participants from the Hispanics Community Health Study/Study of Latinos (HCHS/SOL). In the discovery phase we identified eight previously unreported BP loci. In the replication stage, we tested these loci in the 1982 Pelotas Birth Cohort Study of admixed Southern Brazilians, the COGENT-BP study of African descent, women of European descent from the Women Health Initiative (WHI), and a sample of European descent from the UK Biobank. No loci met the Bonferroni-adjusted level of statistical significance (0.0024). Two loci had marginal evidence of replication: rs78701042 (NGF) with diastolic BP (P = 0.008 in the 1982 Pelotas Birth Cohort Study), and rs7315692 (SLC5A8) with systolic BP (P = 0.007 in European ancestry replication). We investigated whether previously reported loci associated with BP in studies of European, African, and Asian ancestry generalize to Hispanics/Latinos. Overall, 26% of the known associations in studies of individuals of European and Chinese ancestries generalized, while only a single association previously discovered in a people of African descent generalized.
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Affiliation(s)
- Tamar Sofer
- Department of Biostatistics, University of Washington, Seattle, WA, USA.
| | - Quenna Wong
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Fernando P Hartwig
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Kent Taylor
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research, Institute and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Helen R Warren
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- National Institute for Health Research Barts Cardiovascular Biomedical Research Unit, Queen Mary University of London, London, UK
| | - Evangelos Evangelou
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Claudia P Cabrera
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- National Institute for Health Research Barts Cardiovascular Biomedical Research Unit, Queen Mary University of London, London, UK
| | - Daniel Levy
- The Framingham Heart Study, Framingham, MA and the Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Holly Kramer
- Departments of Medicine and Public Health Sciences, Loyola University Chicago, Maywood, IL, USA
| | - Leslie A Lange
- Department of Medicine, University of Colorado Denver, Aurora, CO, USA
| | - Bernardo L Horta
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Kathleen F Kerr
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Alex P Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Nora Franceschini
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
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23
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Carmo-Silva S, Nobrega C, Pereira de Almeida L, Cavadas C. Unraveling the Role of Ataxin-2 in Metabolism. Trends Endocrinol Metab 2017; 28:309-318. [PMID: 28117213 DOI: 10.1016/j.tem.2016.12.006] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2016] [Revised: 12/14/2016] [Accepted: 12/23/2016] [Indexed: 12/21/2022]
Abstract
Ataxin-2 is a polyglutamine protein implicated in several biological processes such as RNA metabolism and cytoskeleton reorganization. Ataxin-2 is highly expressed in various tissues including the hypothalamus, a brain region that controls food intake and energy balance. Ataxin-2 expression is influenced by nutritional status. Emerging studies discussed here now show that ataxin-2 deficiency correlates with insulin resistance and dyslipidemia, an action mediated via the mTOR pathway, suggesting that ataxin-2 might play key roles in metabolic homeostasis including body weight regulation, insulin sensitivity, and cellular stress responses. In this review we also discuss the relevance of ataxin-2 in the hypothalamic regulation of energy balance, and its potential as a therapeutic target in metabolic disorders such as obesity.
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Affiliation(s)
- Sara Carmo-Silva
- Center for Neuroscience and Cell Biology (CNC), University of Coimbra, Coimbra, Portugal; Faculty of Pharmacy, University of Coimbra, Coimbra, Portugal
| | - Clevio Nobrega
- Department of Biomedical Sciences and Medicine, Center for Biomedical Research (CBMR), University of Algarve, Faro, Portugal
| | - Luís Pereira de Almeida
- Center for Neuroscience and Cell Biology (CNC), University of Coimbra, Coimbra, Portugal; Faculty of Pharmacy, University of Coimbra, Coimbra, Portugal
| | - Claudia Cavadas
- Center for Neuroscience and Cell Biology (CNC), University of Coimbra, Coimbra, Portugal; Faculty of Pharmacy, University of Coimbra, Coimbra, Portugal.
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24
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Kayima J, Liang J, Natanzon Y, Nankabirwa J, Ssinabulya I, Nakibuuka J, Katamba A, Mayanja-Kizza H, Miron A, Li C, Zhu X. Association of genetic variation with blood pressure traits among East Africans. Clin Genet 2017; 92:487-494. [PMID: 28105631 DOI: 10.1111/cge.12974] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2016] [Revised: 01/15/2017] [Accepted: 01/16/2017] [Indexed: 12/11/2022]
Abstract
INTRODUCTION Genetic variation may play explain some of the disparity in prevalence and control of hypertension across Sub-Saharan Africa. However, there have been very few studies to characterize genetic variation of blood pressure traits. AIM To determine whether a set of blood pressure-associated genetic loci can be replicated among samples East African samples. METHODS Twenty-seven blood pressures (BP)-related single nucleotide polymorphisms (SNPs) were genotyped among 2881 samples from participants in the Medical Education Partnership Initiative for Cardiovascular Disease (MEPI-CVD) survey. Associations with known BP variants were evaluated for systolic blood pressure (SBP), diastolic blood pressure (DBP) and pulse pressure (PP) as continuous variables and for hypertension (HTN) as a binary variable. RESULTS Eleven SNPS were associated with at least 1 BP trait (P < .05). Four SNPs; rs2004776, rs7726475, rs11837544 and rs2681492, whose nearest genes are AGT, NPR3/SUB1, PLXNC1 and ATP2B1, respectively, were associated with SBP. Six SNPs, rs2004776, rs11977526, rs11191548, rs381815, rs2681492 and rs1327235, close to AGT, IGFBP3, CYP17A1, PLEKHA7, ATP2B1 and JAG, respectively, were associated with DBP while 2 SNPs located within AGT and IGFBP-3 genes associated with HTN. For PP, 4 variants rs1458038, rs11725861, rs7726475 and rs11953630 whose corresponding genes are FGF5, CHIC2, SUB1/NPR3 and EBF1 reached significance (P < .05). Eight SNPs were replicated in the same effect direction as the parent studies. Risk scores defined using published effect sizes were significantly associated with both SBP (P = .0026) and DBP (P = .0214). CONCLUSION The replication of multiple BP variants among East Africans suggests that these variants may have universal effects across ethnic populations.
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Affiliation(s)
- J Kayima
- Division of Adult Cardiology, Uganda Heart Institute, Kampala, Uganda.,Department of Medicine, Makerere University College of Health Sciences, Kampala, Uganda
| | - J Liang
- Department of Epidemiology & Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Y Natanzon
- Department of Epidemiology & Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - J Nankabirwa
- Clinical Epidemiology Unit, Department of Medicine, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
| | - I Ssinabulya
- Division of Adult Cardiology, Uganda Heart Institute, Kampala, Uganda.,Department of Medicine, Makerere University College of Health Sciences, Kampala, Uganda
| | - J Nakibuuka
- Department of Medicine, Makerere University College of Health Sciences, Kampala, Uganda
| | - A Katamba
- Clinical Epidemiology Unit, Department of Medicine, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
| | - H Mayanja-Kizza
- Department of Medicine, Makerere University College of Health Sciences, Kampala, Uganda
| | - A Miron
- Department of Genetics, School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - C Li
- Department of Epidemiology & Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - X Zhu
- Department of Epidemiology & Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio
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