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Juvinao-Quintero DL, Sanchez SE, Workalemahu T, Pinto N, Liang L, Williams MA, Gelaye B. Genetic association study of Preterm birth and Gestational age in a population-based case-control study in Peru. medRxiv 2023:2023.11.22.23298891. [PMID: 38045296 PMCID: PMC10690348 DOI: 10.1101/2023.11.22.23298891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
Preterm birth (PTB) is an adverse pregnancy outcome affecting ∼15 million pregnancies worldwide. Genetic studies have identified several candidate loci for PTB, but results remain inconclusive and limited to European populations. Thus, we conducted a genome-wide association study (GWAS) of PTB and gestational age at delivery (GA) among 2,212 Peruvian women. PTB cases delivered ≥ 20 weeks' but < 37 weeks' gestation, while controls delivered at term (≥ 37 weeks but < 42 weeks). After imputation (TOPMED) and quality control, we assessed the association of ∼6 million SNPs with PTB and GA using multivariable regression models adjusted for maternal age and the first two genetic principal components. In silico functional analysis (FUMA-GWAS) was conducted among top signals detected with an arbitrary P < 1.0×10 -5 in each GWAS. We sought to replicate genetic associations with PTB and GA identified in Europeans, and we developed a genetic risk score for GA based on European markers. Mean GA was 30 ± 4 weeks in PTB cases (N=933) and 39 ± 1 in the controls (N=1,279). PTB cases were slightly older and had higher C-sections and vaginal bleeding than controls. No association was identified at genome-wide level. Top suggestive ( P < 1.0×10 -5 ) signals were seen at rs13151645 ( LINC01182 ) for PTB, and at rs72824565 ( CTNNA2 ) for GA. Top PTB variants were enriched for biological pathways associated with polyketide, progesterone, steroid hormones, and glycosyl metabolism. Top GA variants were enriched in intronic regions and cancer pathways, and these genes were upregulated in the brain and subcutaneous adipose tissue. In combination with non-genetic risk factors, top SNPs explained 14% and 15% of the phenotypic variance of PTB and GA in our sample, but these results need to be interpreted with caution. Variants in WNT4 associated with GA in Europeans were replicated in our study. The genetic risk score based in European markers, was associated with a 2-day longer GA (R 2 =0.003, P =0.002) per standard deviation increase in the score in our sample. This genetic association study identified various signals suggestively associated with PTB and GA in a non- European population; they were linked to relevant biological pathways related to the metabolism of progesterone, prostanoid, and steroid hormones, and genes associated with GA were significantly upregulated in relevant tissues for the pathophysiology of PTB based on the in- silico functional analysis. None of these top variants overlapped with signals previously identified for PTB or GA in Europeans.
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Juvinao-Quintero DL, Künzel RG, Larabure-Torrealva G, Duncan L, Kirschbaum C, Sanchez SE, Gelaye B. Correlates of preconception and pregnancy hair cortisol concentrations. Res Sq 2023:rs.3.rs-3349003. [PMID: 37790441 PMCID: PMC10543434 DOI: 10.21203/rs.3.rs-3349003/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Assessing factors that influence chronic stress biomarkers like hair cortisol concentrations (HCCs) in pregnancy is critical to prevent adverse pregnancy outcomes. Thus, we aimed to identify correlates of HCC preconception and during pregnancy. 2,581 pregnant women participated in the study. HCC was available at four time periods: pre-pregnancy (0-3 months preconception, n = 1,023), and in the first (1-12 weeks, n = 1,734), second (13-24 weeks, n = 1,534), and third (25-36 weeks, n = 835) trimesters. HCC was assessed using liquid chromatography tandem mass spectrometry (LC-MS/MS). Sociodemographic, pregnancy- and hair-related characteristics, and measures of psychosocial stress, were interrogated as potential correlates of HCC. Spearman correlations, paired t-tests, and ANOVA were used to assess differences in log-transformed values of HCC (logHCC) across maternal characteristics. Multivariable linear regressions were used to identify the correlates of HCCs after adjusting for confounders. Mean logHCC values increased across the four prenatal periods (P < 0.001). In multivariable analyses, pre-pregnancy BMI was consistently associated with all HCCs, while gestational age, economic hardship, hair dyeing, and depression, showed time-specific associations with HCC. In conclusion, this study showed evidence of factors influencing HCC levels before and during pregnancy. The most consistent association was seen with pre-pregnancy BMI. Depression was also associated with HCC concentrations.
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Affiliation(s)
| | - Richard G Künzel
- Department of Epidemiology, Harvard T.H. Chan School of Public Health
| | | | - Laramie Duncan
- Department of Psychiatry and Behavioral Sciences, Stanford University
| | | | - Sixto E Sanchez
- Universidad de San Martin de Porres, Facultad de Medicina Humana, Instituto de Investigacion
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T.H. Chan School of Public Health
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Juvinao-Quintero DL, Sharp GC, Sanderson ECM, Relton CL, Elliott HR. Investigating causality in the association between DNA methylation and type 2 diabetes using bidirectional two-sample Mendelian randomisation. Diabetologia 2023; 66:1247-1259. [PMID: 37202507 PMCID: PMC10244277 DOI: 10.1007/s00125-023-05914-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 01/25/2023] [Indexed: 05/20/2023]
Abstract
AIMS/HYPOTHESIS Several studies have identified associations between type 2 diabetes and DNA methylation (DNAm). However, the causal role of these associations remains unclear. This study aimed to provide evidence for a causal relationship between DNAm and type 2 diabetes. METHODS We used bidirectional two-sample Mendelian randomisation (2SMR) to evaluate causality at 58 CpG sites previously detected in a meta-analysis of epigenome-wide association studies (meta-EWAS) of prevalent type 2 diabetes in European populations. We retrieved genetic proxies for type 2 diabetes and DNAm from the largest genome-wide association study (GWAS) available. We also used data from the Avon Longitudinal Study of Parents and Children (ALSPAC, UK) when associations of interest were not available in the larger datasets. We identified 62 independent SNPs as proxies for type 2 diabetes, and 39 methylation quantitative trait loci as proxies for 30 of the 58 type 2 diabetes-related CpGs. We applied the Bonferroni correction for multiple testing and inferred causality based on p<0.001 for the type 2 diabetes to DNAm direction and p<0.002 for the opposing DNAm to type 2 diabetes direction in the 2SMR analysis. RESULTS We found strong evidence of a causal effect of DNAm at cg25536676 (DHCR24) on type 2 diabetes. An increase in transformed residuals of DNAm at this site was associated with a 43% (OR 1.43, 95% CI 1.15, 1.78, p=0.001) higher risk of type 2 diabetes. We inferred a likely causal direction for the remaining CpG sites assessed. In silico analyses showed that the CpGs analysed were enriched for expression quantitative trait methylation sites (eQTMs) and for specific traits, dependent on the direction of causality predicted by the 2SMR analysis. CONCLUSIONS/INTERPRETATION We identified one CpG mapping to a gene related to the metabolism of lipids (DHCR24) as a novel causal biomarker for risk of type 2 diabetes. CpGs within the same gene region have previously been associated with type 2 diabetes-related traits in observational studies (BMI, waist circumference, HDL-cholesterol, insulin) and in Mendelian randomisation analyses (LDL-cholesterol). Thus, we hypothesise that our candidate CpG in DHCR24 may be a causal mediator of the association between known modifiable risk factors and type 2 diabetes. Formal causal mediation analysis should be implemented to further validate this assumption.
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Affiliation(s)
- Diana L Juvinao-Quintero
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK.
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
| | - Gemma C Sharp
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Eleanor C M Sanderson
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Hannah R Elliott
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK.
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
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Juvinao-Quintero DL, Larrabure-Torrealva GT, Sanchez SE, Kirschbaum C, Williams MA, Gelaye B. Maternal hair cortisol concentrations and its association with increased insulin resistance in midpregnancy. Ann Epidemiol 2023; 81:14-23.e8. [PMID: 36841381 PMCID: PMC10204096 DOI: 10.1016/j.annepidem.2023.02.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 02/01/2023] [Accepted: 02/21/2023] [Indexed: 02/27/2023]
Abstract
PURPOSE Stress and elevated maternal glycemia have negative effects on pregnancy. We evaluated the association of hair cortisol concentrations (HCC), a marker of chronic stress, with insulin resistance and gestational diabetes (GDM). METHODS In total, 527 women from Lima, Peru, provided a hair sample in the second trimester of their pregnancy to measure HCC using liquid chromatography-tandem mass spectrometry. Each 6 cm of hair captured HCC in early (T1=1-12 weeks) and midpregnancy (T2 = 13-24 weeks). GDM diagnosis was conducted in midpregnancy. Multivariable regression models adjusted for putative risk factorsincluding maternal sociodemographic factors, diabetes history, and hair characteristics, were used to estimate the association of HCC with GDM and various glycemic traits. RESULTS GDM was diagnosed in 122 (23%) women. Mean HCC across pregnancy was T1 = 3.7 (±3.4) pg/mg and T2 = 4.8 (±3.4) pg/mg. HCC was associated with increased log-transformed units of fasting insulin (T1 = 0.15 [0.03, 0.27], T2 = 0.17 [0.04, 0.30]), homeostasis model assessment for insulin resistance (T1 = 0.14 [0.01, 0.26], T2 = 0.17 [0.03, 0.30]), and homeostasis model assessment for β-cell function (T1 = 0.20 [0.05, 0.34], T2 = 0.20 [0.04, 0.36]), but not with GDM (T1 = 0.95 [0.63, 1.40], T2 = 1.11 [0.74, 1.67]). CONCLUSIONS Elevated maternal HCC was associated with abnormal insulin homeostasis in pregnancy. Dysregulation of the hypothalamic-pituitary-adrenal axis, as reflected by high HCC, may also contribute to insulin resistance syndrome in pregnancy.
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Affiliation(s)
| | - Gloria T Larrabure-Torrealva
- Departamento Académico de Medicina Humana, Universidad Nacional Mayor de San Marcos, Lima, Perú; Instituto Nacional Materno Perinatal, Lima, Perú
| | - Sixto E Sanchez
- Universidad de San Martin de Porres, Facultad de Medicina Humana, Instituto de Investigación, Lima, Perú; Asociación Civil PROESA, Lima, Perú
| | - Clemens Kirschbaum
- Department of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Michelle A Williams
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA; The Chester M. Pierce, M.D. Division of Global Psychiatry, Massachusetts General Hospital, Boston; Center for Bioethics, Harvard Medical School, Boston, MA
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Vélez JC, Kovasala M, Collado MD, Friedman LE, Juvinao-Quintero DL, Araya L, Castillo J, Williams MA, Gelaye B. Pain, mood, and suicidal behavior among injured working adults in Chile. BMC Psychiatry 2022; 22:766. [PMID: 36471330 PMCID: PMC9724445 DOI: 10.1186/s12888-022-04391-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 11/14/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Chronic pain is comorbid with psychiatric disorders, but information on the association of chronic pain with depressive symptoms, generalized anxiety, and suicidal behavior among occupational cohorts is inadequate. We investigated these associations among employed Chilean adults. METHODS A total of 1946 working adults were interviewed during their outpatient visit. Pain was assessed using the Short Form McGill Pain questionnaire (SF-MPG) while depression and generalized anxiety were examined using the Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7), respectively. The Columbia-Suicide Severity Rating Scale was used to assess suicidal behavior and suicidal ideation. Multivariable logistic regression models were used to estimate adjusted odds ratios (aORs) and 95% confidence intervals (95%CI) for the association of chronic pain with mood disorders, as well as suicidal behavior. RESULTS High chronic pain (SF-MPG > 11) was reported by 46% of participants. Approximately two-fifths of the study participants (38.2%) had depression, 23.8% generalized anxiety, 13.4% suicidal ideation, and 2.4% suicidal behavior. Compared to those with low pain (SF-MPG ≤11), participants with high chronic pain (SF-MPG > 11) had increased odds of experiencing depression only (aOR = 2.87; 95% CI: 2.21-3.73), generalized anxiety only (aOR = 2.38; 95% CI: 1.42-3.99), and comorbid depression and generalized anxiety (aOR = 6.91; 95% CI: 5.20-9.19). The corresponding aOR (95%CI) for suicidal ideation and suicidal behavior were (aOR = 2.20; 95% CI: 1.58-3.07) and (aOR = 2.18 = 95% CI: 0.99-4.79), respectively. CONCLUSIONS Chronic pain is associated with increased odds of depression, generalized anxiety, and suicidal behavior. Mental health support and appropriate management of patients experiencing chronic pain are critical.
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Affiliation(s)
- Juan Carlos Vélez
- grid.414619.f0000 0004 0628 8121Departamento de Rehabilitación, Hospital del Trabajador, Santiago, Chile
| | - Michael Kovasala
- grid.38142.3c000000041936754XMultidisciplinary International Research Training (MIRT) Program, Harvard T.H. Chan School of Public Health, Boston, MA USA
| | - Michele Demi Collado
- grid.38142.3c000000041936754XMultidisciplinary International Research Training (MIRT) Program, Harvard T.H. Chan School of Public Health, Boston, MA USA
| | - Lauren E. Friedman
- grid.38142.3c000000041936754XDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Ave Room 505F, Boston, MA 02115 USA
| | - Diana L. Juvinao-Quintero
- grid.38142.3c000000041936754XDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Ave Room 505F, Boston, MA 02115 USA
| | - Lisette Araya
- grid.414619.f0000 0004 0628 8121Servicio de Psiquiatría y Psicología, Hospital del Trabajador, Santiago, Chile
| | - Jessica Castillo
- grid.414619.f0000 0004 0628 8121Servicio de Psiquiatría y Psicología, Hospital del Trabajador, Santiago, Chile
| | - Michelle A. Williams
- grid.38142.3c000000041936754XDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Ave Room 505F, Boston, MA 02115 USA
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Ave Room 505F, Boston, MA, 02115, USA. .,The Chester M. Pierce, MD Division of Global Psychiatry, Massachusetts General Hospital, Boston, MA, USA. .,Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
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Velez JC, Friedman LE, Barbosa C, Castillo J, Juvinao-Quintero DL, Williams MA, Gelaye B. Evaluating the performance of the Pain Interference Index and the Short Form McGill Pain Questionnaire among Chilean injured working adults. PLoS One 2022; 17:e0268672. [PMID: 35588123 PMCID: PMC9119477 DOI: 10.1371/journal.pone.0268672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 05/05/2022] [Indexed: 11/30/2022] Open
Abstract
Background Chronic pain can lead to economic instability, decreased job productivity, and poor mental health. Therefore, reliable identification and quantification of chronic pain is important for clinical diagnosis and treatment. Objective To determine the psychometric properties of the Spanish language versions of the Pain Interference Index (PII) and the Short Form McGill Pain Questionnaire (SF-MPG) among a population of working adults who experienced injury in Santiago, Chile. Methods A total of 1,975 participants with work-related injuries were interviewed to collect sociodemographic, occupational, and chronic pain characteristics. Construct validity and factorial structure of the PII and SF-MPG were assessed through exploratory factor analyses (EFA). Cronbach’s alpha was used to evaluate internal consistency. Results The PII mean score was 3.84 ± 1.43 among all participants. The SF-MPG median score was 11 [IQR: 6–16] in this study population. Cronbach’s alpha for the PII was 0.90 and 0.87 for the SF-MP. EFA resulted in a one factor solution for the PII. A two-factor solution was found for the SF-MPG. The two-factors for SF-MPG were sensory and affective subscales with Cronbach’s alpha of 0.82 and 0.714, respectively. When the two scales were combined, an EFA analysis confirmed the PII and SF-MPG measure different aspects of chronic pain. Conclusions The PII and SF-MPG had good construct validity and reliability for assessing different aspects of chronic pain among working Chilean adults.
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Affiliation(s)
- Juan Carlos Velez
- Departamento de Rehabilitación, Hospital del Trabajador, Santiago, Chile
| | - Lauren E. Friedman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Clarita Barbosa
- Multidisciplinary International Research Training (MIRT) Program, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Jessica Castillo
- Departamento de Rehabilitación, Hospital del Trabajador, Santiago, Chile
| | - Diana L. Juvinao-Quintero
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Michelle A. Williams
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Bizu Gelaye
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Multidisciplinary International Research Training (MIRT) Program, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- The Chester M. Pierce, MD Division of Global Psychiatry, Massachusetts General Hospital; Boston, MA, United States of America
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States of America
- * E-mail:
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Tobi EW, Juvinao-Quintero DL, Ronkainen J, Ott R, Alfano R, Canouil M, Geurtsen ML, Khamis A, Küpers LK, Lim IY, Perron P, Pesce G, Tuhkanen J, Starling AP, Andrew T, Binder E, Caiazzo R, Chan JKY, Gaillard R, Gluckman PD, Keikkala E, Karnani N, Mustaniemi S, Nawrot TS, Pattou F, Plusquin M, Raverdy V, Tan KH, Tzala E, Raikkonen K, Winkler C, Ziegler AG, Annesi-Maesano I, Bouchard L, Chong YS, Dabelea D, Felix JF, Heude B, Jaddoe VWV, Lahti J, Reimann B, Vääräsmäki M, Bonnefond A, Froguel P, Hummel S, Kajantie E, Jarvelin MR, Steegers-Theunissen RPM, Howe CG, Hivert MF, Sebert S. Maternal Glycemic Dysregulation During Pregnancy and Neonatal Blood DNA Methylation: Meta-analyses of Epigenome-Wide Association Studies. Diabetes Care 2022; 45:614-623. [PMID: 35104326 PMCID: PMC8918264 DOI: 10.2337/dc21-1701] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 12/10/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Maternal glycemic dysregulation during pregnancy increases the risk of adverse health outcomes in her offspring, a risk thought to be linearly related to maternal hyperglycemia. It is hypothesized that changes in offspring DNA methylation (DNAm) underline these associations. RESEARCH DESIGN AND METHODS To address this hypothesis, we conducted fixed-effects meta-analyses of epigenome-wide association study (EWAS) results from eight birth cohorts investigating relationships between cord blood DNAm and fetal exposure to maternal glucose (Nmaximum = 3,503), insulin (Nmaximum = 2,062), and area under the curve of glucose (AUCgluc) following oral glucose tolerance tests (Nmaximum = 1,505). We performed lookup analyses for identified cytosine-guanine dinucleotides (CpGs) in independent observational cohorts to examine associations between DNAm and cardiometabolic traits as well as tissue-specific gene expression. RESULTS Greater maternal AUCgluc was associated with lower cord blood DNAm at neighboring CpGs cg26974062 (β [SE] -0.013 [2.1 × 10-3], P value corrected for false discovery rate [PFDR] = 5.1 × 10-3) and cg02988288 (β [SE]-0.013 [2.3 × 10-3], PFDR = 0.031) in TXNIP. These associations were attenuated in women with GDM. Lower blood DNAm at these two CpGs near TXNIP was associated with multiple metabolic traits later in life, including type 2 diabetes. TXNIP DNAm in liver biopsies was associated with hepatic expression of TXNIP. We observed little evidence of associations between either maternal glucose or insulin and cord blood DNAm. CONCLUSIONS Maternal hyperglycemia, as reflected by AUCgluc, was associated with lower cord blood DNAm at TXNIP. Associations between DNAm at these CpGs and metabolic traits in subsequent lookup analyses suggest that these may be candidate loci to investigate in future causal and mediation analyses.
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Affiliation(s)
- Elmar W Tobi
- Division of Obstetrics and Prenatal Medicine, Department of Obstetrics and Gynaecology, Erasmus MC, Rotterdam, the Netherlands
| | - Diana L Juvinao-Quintero
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA
| | - Justiina Ronkainen
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Raffael Ott
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany.,Forschergruppe Diabetes, Technical University Munich, Klinikum rechts der Isar, Munich, Germany.,Forschergruppe Diabetes e.V., Helmholtz Zentrum München, Munich-Neuherberg, Germany
| | - Rossella Alfano
- Center for Environmental Sciences, University of Hasselt, Hasselt, Belgium
| | - Mickaël Canouil
- INSERM U1283, CNRS UMR 8199, European Genomic Institute for Diabetes, Institut Pasteur de Lille, Lille, France.,University of Lille, Lille University Hospital, Lille, France
| | - Madelon L Geurtsen
- The Generation R Study Group, Erasmus MC, Rotterdam, the Netherlands.,Department of Pediatrics, Erasmus MC, Rotterdam, the Netherlands
| | - Amna Khamis
- INSERM U1283, CNRS UMR 8199, European Genomic Institute for Diabetes, Institut Pasteur de Lille, Lille, France.,University of Lille, Lille University Hospital, Lille, France.,Department of Metabolism, Digestion and Reproduction, Imperial College London, London, U.K
| | - Leanne K Küpers
- The Generation R Study Group, Erasmus MC, Rotterdam, the Netherlands.,Department of Pediatrics, Erasmus MC, Rotterdam, the Netherlands
| | - Ives Y Lim
- Bioinformatics Institute, A*STAR, Singapore.,Singapore Institute for Clinical Sciences, A*STAR, Singapore
| | - Patrice Perron
- Department of Medicine, Universite de Sherbrooke, Sherbrooke, Canada.,Research Center, Centre hospitalier Universitaire de Sherbrooke, Sherbrooke, Canada
| | - Giancarlo Pesce
- Paris-Saclay University, Paris-South University, UVSQ, Center for Research in Epidemiology and Population Health (CESP), INSERM, Villejuif, France.,Sorbonne Université and INSERM, Team EPAR, Institut Pierre Louis D'Épidémiologie et de Santé Publique, Paris, France
| | - Johanna Tuhkanen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Anne P Starling
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO.,Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Toby Andrew
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, U.K
| | - Elisabeth Binder
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany.,Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA
| | - Robert Caiazzo
- University of Lille, CHU Lille, Inserm, Institut Pasteur Lille, U1190 Translational Research for Diabetes, Lille, France
| | - Jerry K Y Chan
- Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore.,Academic Clinical Program in Obstetrics and Gynaecology, Duke-NUS Medical School, Singapore
| | - Romy Gaillard
- The Generation R Study Group, Erasmus MC, Rotterdam, the Netherlands.,Department of Pediatrics, Erasmus MC, Rotterdam, the Netherlands
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, A*STAR, Singapore.,Liggins Institute, University of Auckland, Aukland, New Zealand
| | - Elina Keikkala
- Population Health Unit, Finnish Institute for Health and Welfare, Oulu, Finland.,PEDEGO Research Unit, MRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Neerja Karnani
- Bioinformatics Institute, A*STAR, Singapore.,Singapore Institute for Clinical Sciences, A*STAR, Singapore.,Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Sanna Mustaniemi
- Population Health Unit, Finnish Institute for Health and Welfare, Oulu, Finland.,PEDEGO Research Unit, MRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Tim S Nawrot
- Center for Environmental Sciences, University of Hasselt, Hasselt, Belgium
| | - François Pattou
- University of Lille, CHU Lille, Inserm, Institut Pasteur Lille, U1190 Translational Research for Diabetes, Lille, France
| | - Michelle Plusquin
- Center for Environmental Sciences, University of Hasselt, Hasselt, Belgium
| | - Violeta Raverdy
- University of Lille, CHU Lille, Inserm, Institut Pasteur Lille, U1190 Translational Research for Diabetes, Lille, France
| | - Kok Hian Tan
- Academic Clinical Program in Obstetrics and Gynaecology, Duke-NUS Medical School, Singapore.,Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore
| | - Evangelia Tzala
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K
| | - Katri Raikkonen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Christiane Winkler
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany.,Forschergruppe Diabetes, Technical University Munich, Klinikum rechts der Isar, Munich, Germany.,Forschergruppe Diabetes e.V., Helmholtz Zentrum München, Munich-Neuherberg, Germany
| | - Anette-G Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany.,Forschergruppe Diabetes, Technical University Munich, Klinikum rechts der Isar, Munich, Germany.,Forschergruppe Diabetes e.V., Helmholtz Zentrum München, Munich-Neuherberg, Germany
| | - Isabella Annesi-Maesano
- Montpellier University, INSERM, Institut Desbrest d'Épidémiologie et de Santé Publique (IDESP), Montpellier, France
| | - Luigi Bouchard
- Department of Biochemistry and Functional Genomics, Universite de Sherbrooke, Sherbrooke, Canada.,Department of Laboratory Medicine, CIUSSS du Saguenay-Lac-St-Jean, Hôpital Universitaire de Chicoutimi, Canada
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, A*STAR, Singapore.,Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO.,Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora, CO.,Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, Rotterdam, the Netherlands.,Department of Pediatrics, Erasmus MC, Rotterdam, the Netherlands
| | - Barbara Heude
- Université de Paris, Inserm, INRAE, Centre for Research in Epidemiology and Statistics (CRESS), Paris, France
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus MC, Rotterdam, the Netherlands.,Department of Pediatrics, Erasmus MC, Rotterdam, the Netherlands
| | - Jari Lahti
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Brigitte Reimann
- Center for Environmental Sciences, University of Hasselt, Hasselt, Belgium
| | - Marja Vääräsmäki
- PEDEGO Research Unit, MRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Amélie Bonnefond
- INSERM U1283, CNRS UMR 8199, European Genomic Institute for Diabetes, Institut Pasteur de Lille, Lille, France.,University of Lille, Lille University Hospital, Lille, France.,Department of Metabolism, Digestion and Reproduction, Imperial College London, London, U.K
| | - Philippe Froguel
- INSERM U1283, CNRS UMR 8199, European Genomic Institute for Diabetes, Institut Pasteur de Lille, Lille, France.,University of Lille, Lille University Hospital, Lille, France.,Department of Metabolism, Digestion and Reproduction, Imperial College London, London, U.K
| | - Sandra Hummel
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany.,Forschergruppe Diabetes, Technical University Munich, Klinikum rechts der Isar, Munich, Germany.,Forschergruppe Diabetes e.V., Helmholtz Zentrum München, Munich-Neuherberg, Germany
| | - Eero Kajantie
- Population Health Unit, Finnish Institute for Health and Welfare, Oulu, Finland.,PEDEGO Research Unit, MRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland.,Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.,Children's Hospital, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Marjo-Riita Jarvelin
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland.,MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K.,Unit of Primary Health Care, Oulu University Hospital, Oulu, Finland.,Department of Life Sciences, College of Health and Life Sciences, Brunel University London, Uxbridge, U.K
| | - Regine P M Steegers-Theunissen
- Division of Obstetrics and Prenatal Medicine, Department of Obstetrics and Gynaecology, Erasmus MC, Rotterdam, the Netherlands
| | - Caitlin G Howe
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, NH
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA.,Diabetes Unit, Massachusetts General Hospital, Boston, MA
| | - Sylvain Sebert
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
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8
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Juvinao-Quintero DL, Cardenas A, Perron P, Bouchard L, Lutz SM, Hivert MF. Associations between an integrated component of maternal glycemic regulation in pregnancy and cord blood DNA methylation. Epigenomics 2021; 13:1459-1472. [PMID: 34596421 DOI: 10.2217/epi-2021-0220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Background: Previous studies suggest that fetal programming to hyperglycemia in pregnancy is due to modulation of DNA methylation (DNAm), but they have been limited in their maternal glycemic characterization. Methods: In the Gen3G study, we used a principal component analysis to integrate multiple glucose and insulin values measured during the second trimester oral glucose tolerance test. We investigated associations between principal components and cord blood DNAm levels in an epigenome-wide analysis among 430 mother-child pairs. Results: The first principal component was robustly associated with lower DNAm at cg26974062 (TXNIP; p = 9.9 × 10-9) in cord blood. TXNIP is a well-known DNAm marker for type 2 diabetes in adults. Conclusion: We hypothesize that abnormal glucose metabolism in pregnancy may program dysregulation of TXNIP across the life course.
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Affiliation(s)
- Diana L Juvinao-Quintero
- Division of Chronic Disease Research Across the Life Course, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA 02215, USA
| | - Andres Cardenas
- Division of Environmental Health Sciences, School of Public Health & Center for Computational Biology, University of California, Berkeley, CA 94720-7360, USA
| | - Patrice Perron
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC, J1H 5N4, Canada.,Department of Medicine, Université de Sherbrooke, Sherbrooke, QC, J1H 5N4, Canada
| | - Luigi Bouchard
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC, J1H 5N4, Canada.,Department of Medical Biology, Centre Intégré Universitaire en Santé et Services Sociaux Saguenay-Lac-Saint-Jean, Hôpital Universitaire de Chicoutimi, Saguenay, QC, G7H 5H6, Canada.,Department of Biochemistry & Functional Genomics, Université de Sherbrooke, Sherbrooke, QC, J1K 2R1, Canada
| | - Sharon M Lutz
- Division of Chronic Disease Research Across the Life Course, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA 02215, USA.,Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA 02215, USA
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Life Course, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA 02215, USA.,Department of Medicine, Université de Sherbrooke, Sherbrooke, QC, J1H 5N4, Canada.,Diabetes Unit, Massachusetts General Hospital, Boston, MA 02114, USA
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9
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Juvinao-Quintero DL, Marioni RE, Ochoa-Rosales C, Russ TC, Deary IJ, van Meurs JBJ, Voortman T, Hivert MF, Sharp GC, Relton CL, Elliott HR. DNA methylation of blood cells is associated with prevalent type 2 diabetes in a meta-analysis of four European cohorts. Clin Epigenetics 2021; 13:40. [PMID: 33622391 PMCID: PMC7903628 DOI: 10.1186/s13148-021-01027-3] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 02/11/2021] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Type 2 diabetes (T2D) is a heterogeneous disease with well-known genetic and environmental risk factors contributing to its prevalence. Epigenetic mechanisms related to changes in DNA methylation (DNAm), may also contribute to T2D risk, but larger studies are required to discover novel markers, and to confirm existing ones. RESULTS We performed a large meta-analysis of individual epigenome-wide association studies (EWAS) of prevalent T2D conducted in four European studies using peripheral blood DNAm. Analysis of differentially methylated regions (DMR) was also undertaken, based on the meta-analysis results. We found three novel CpGs associated with prevalent T2D in Europeans at cg00144180 (HDAC4), cg16765088 (near SYNM) and cg24704287 (near MIR23A) and confirmed three CpGs previously identified (mapping to TXNIP, ABCG1 and CPT1A). We also identified 77 T2D associated DMRs, most of them hypomethylated in T2D cases versus controls. In adjusted regressions among diabetic-free participants in ALSPAC, we found that all six CpGs identified in the meta-EWAS were associated with white cell-types. We estimated that these six CpGs captured 11% of the variation in T2D, which was similar to the variation explained by the model including only the common risk factors of BMI, sex, age and smoking (R2 = 10.6%). CONCLUSIONS This study identifies novel loci associated with T2D in Europeans. We also demonstrate associations of the same loci with other traits. Future studies should investigate if our findings are generalizable in non-European populations, and potential roles of these epigenetic markers in T2D etiology or in determining long term consequences of T2D.
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Affiliation(s)
- Diana L. Juvinao-Quintero
- MRC Integrative Epidemiology, Bristol Medical School, Bristol, BS8 2BN UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN UK
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care, Boston, MA 02215 USA
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN UK
| | - Riccardo E. Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU UK
| | - Carolina Ochoa-Rosales
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, 3000 CA The Netherlands
- Centro de Vida Saludable de La Universidad de Concepción, Victoria 580, Concepción, Chile
| | - Tom C. Russ
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ UK
- Edinburgh Dementia Prevention Research Group, University of Edinburgh, Edinburgh, EH16 4UX UK
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, EH8 9JZ UK
| | - Ian J. Deary
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, EH8 9JZ UK
- Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ UK
| | - Joyce B. J. van Meurs
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, 3000 CA The Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, 3000 CA The Netherlands
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care, Boston, MA 02215 USA
| | - Gemma C. Sharp
- MRC Integrative Epidemiology, Bristol Medical School, Bristol, BS8 2BN UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN UK
| | - Caroline L. Relton
- MRC Integrative Epidemiology, Bristol Medical School, Bristol, BS8 2BN UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN UK
- Bristol NIHR Biomedical Research Centre, Oakfield House, Oakfield Grove, Bristol, BS8 2BN UK
| | - Hannah R. Elliott
- MRC Integrative Epidemiology, Bristol Medical School, Bristol, BS8 2BN UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN UK
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10
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Juvinao-Quintero DL, Starling AP, Cardenas A, Powe CE, Perron P, Bouchard L, Dabelea D, Hivert MF. Epigenome-wide association study of maternal hemoglobin A1c in pregnancy and cord blood DNA methylation. Epigenomics 2021; 13:203-218. [PMID: 33406918 DOI: 10.2217/epi-2020-0279] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
Background: Gestational hyperglycemia is associated with adverse perinatal outcomes and long-term offspring metabolic programming, likely through dysregulation of DNA methylation (DNAm). Materials & methods: We tested associations between maternal HbA1c and cord blood DNAm among 412 mother-child pairs in the genetics of glucose regulation in gestation and growth (Gen3G) and implemented Mendelian randomization to infer causality. We sought replication in an independent sample from Healthy Start. Results: Higher second trimester HbA1c levels were associated with lower DNAm at cg21645848 (p = 3.9 × 10-11) near URGCP. Mendelian randomization and replication analyses showed same direction of effect between HbA1c and DNAm at cg21645848, but did not reach statistical significance. Conclusion: We found that higher maternal glycemia reflected by HbA1c is associated with cord blood DNAm at URGCP, a gene related with inflammatory pathways.
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Affiliation(s)
- Diana L Juvinao-Quintero
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA 02215, USA
| | - Anne P Starling
- Department of Epidemiology & Lifecourse Epidemiology of Adiposity & Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado, Anschutz Medical Campus, CO 80045, USA
| | - Andres Cardenas
- Division of Environmental Health Sciences, School of Public Health & Center for Computational Biology, University of California, Berkeley, CA 94720-7360, USA
| | - Camille E Powe
- Diabetes Unit, Massachusetts General Hospital, Boston, MA 02114, USA.,Harvard Medical School, Boston, MA 02115, USA.,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Patrice Perron
- Centre de Recherche du CHUS, Sherbrooke, QC J1H 5N4, CA.,Department of Medicine, Université de Sherbrooke, Sherbrooke, QC J1H 5N4, Canada
| | - Luigi Bouchard
- Centre de Recherche du CHUS, Sherbrooke, QC J1H 5N4, CA.,Department of Medical Biology, CIUSSS Saguenay-Lac-Saint-Jean, Hôpital Universitaire de Chicoutimi, Saguenay, QC G7H 5H6, Canada.,Department of Biochemistry & Functional Genomics, Université de Sherbrooke, Sherbrooke, QC J1H 5N4, Canada
| | - Dana Dabelea
- Department of Epidemiology & Lifecourse Epidemiology of Adiposity & Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado, Anschutz Medical Campus, CO 80045, USA
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA 02215, USA.,Diabetes Unit, Massachusetts General Hospital, Boston, MA 02114, USA
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11
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Juvinao-Quintero DL, Hivert MF, Sharp GC, Relton CL, Elliott HR. DNA Methylation and Type 2 Diabetes: the Use of Mendelian Randomization to Assess Causality. Curr Genet Med Rep 2019; 7:191-207. [PMID: 32274260 PMCID: PMC7145450 DOI: 10.1007/s40142-019-00176-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Purpose of Review This review summarises recent advances in the field of epigenetics in order to understand the aetiology of type 2 diabetes (T2D). Recent Findings DNA methylation at a number of loci has been shown to be robustly associated with T2D, including TXNIP, ABCG1, CPT1A, and SREBF1. However, due to the cross-sectional nature of many epidemiological studies and predominant analysis in samples derived from blood rather than disease relevant tissues, inferring causality is difficult. We therefore outline the use of Mendelian randomisation (MR) as one method able to assess causality in epigenetic studies of T2D. Summary Epidemiological studies have been fruitful in identifying epigenetic markers of T2D. Triangulation of evidence including utilisation of MR is essential to delineate causal from non-causal biomarkers of disease. Understanding the causality of epigenetic markers in T2D more fully will aid prioritisation of CpG sites as early biomarkers to detect disease or in drug development to target epigenetic mechanisms in order to treat patients.
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Affiliation(s)
- Diana L Juvinao-Quintero
- MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK.,Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care, Boston, USA
| | - Gemma C Sharp
- MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK.,Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK.,Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK.,Bristol NIHR Biomedical Research Centre, Bristol, UK
| | - Hannah R Elliott
- MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK.,Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK
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12
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Díaz F, Muñoz-Valencia V, Juvinao-Quintero DL, Manzano-Martínez MR, Toro-Perea N, Cárdenas-Henao H, Hoffmann AA. Evidence for adaptive divergence of thermal responses among Bemisia tabaci populations from tropical Colombia following a recent invasion. J Evol Biol 2014; 27:1160-71. [PMID: 24800647 DOI: 10.1111/jeb.12387] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2014] [Revised: 03/11/2014] [Accepted: 03/30/2014] [Indexed: 11/29/2022]
Abstract
There is an increasing evidence that populations of ectotherms can diverge genetically in response to different climatic conditions, both within their native range and (in the case of invasive species) in their new range. Here, we test for such divergence in invasive whitefly Bemisia tabaci populations in tropical Colombia, by considering heritable variation within and between populations in survival and fecundity under temperature stress, and by comparing population differences with patterns established from putatively neutral microsatellite markers. We detected significant differences among populations linked to mean temperature (for survival) and temperature variation (for fecundity) in local environments. A QST - FST analysis indicated that phenotypic divergence was often larger than neutral expectations (QST > FST ). Particularly, for survival after a sublethal heat shock, this divergence remained linked to the local mean temperature after controlling for neutral divergence. These findings point to rapid adaptation in invasive whitefly likely to contribute to its success as a pest species. Ongoing evolutionary divergence also provides challenges in predicting the likely impact of Bemisia in invaded regions.
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Affiliation(s)
- F Díaz
- Department of Biology, Universidad del Valle, Cali, Colombia
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