1,227 results on '"Raitakari, O"'
Search Results
2. Evolution of genetic networks for human creativity
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Zwir, I., Del-Val, C., Hintsanen, M., Cloninger, K. M., Romero-Zaliz, R., Mesa, A., Arnedo, J., Salas, R., Poblete, G. F., Raitoharju, E., Raitakari, O., Keltikangas-Järvinen, L., de Erausquin, G. A., Tattersall, I., Lehtimäki, T., and Cloninger, C. R.
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- 2022
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3. Increase in adiposity from childhood to adulthood predicts a metabolically obese phenotype in normal-weight adults
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Viitasalo, A., Pitkänen, N., Pahkala, K., Lehtimäki, T., Viikari, J. S. A., Raitakari, O., and Kilpeläinen, T. O.
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- 2020
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4. Novel loci associated with usual sleep duration: the CHARGE Consortium Genome-Wide Association Study
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Gottlieb, DJ, Hek, K, Chen, T-H, Watson, NF, Eiriksdottir, G, Byrne, EM, Cornelis, M, Warby, SC, Bandinelli, S, Cherkas, L, Evans, DS, Grabe, HJ, Lahti, J, Li, M, Lehtimäki, T, Lumley, T, Marciante, KD, Pérusse, L, Psaty, BM, Robbins, J, Tranah, GJ, Vink, JM, Wilk, JB, Stafford, JM, Bellis, C, Biffar, R, Bouchard, C, Cade, B, Curhan, GC, Eriksson, JG, Ewert, R, Ferrucci, L, Fülöp, T, Gehrman, PR, Goodloe, R, Harris, TB, Heath, AC, Hernandez, D, Hofman, A, Hottenga, J-J, Hunter, DJ, Jensen, MK, Johnson, AD, Kähönen, M, Kao, L, Kraft, P, Larkin, EK, Lauderdale, DS, Luik, AI, Medici, M, Montgomery, GW, Palotie, A, Patel, SR, Pistis, G, Porcu, E, Quaye, L, Raitakari, O, Redline, S, Rimm, EB, Rotter, JI, Smith, AV, Spector, TD, Teumer, A, Uitterlinden, AG, Vohl, M-C, Widen, E, Willemsen, G, Young, T, Zhang, X, Liu, Y, Blangero, J, Boomsma, DI, Gudnason, V, Hu, F, Mangino, M, Martin, NG, O'Connor, GT, Stone, KL, Tanaka, T, Viikari, J, Gharib, SA, Punjabi, NM, Räikkönen, K, Völzke, H, Mignot, E, and Tiemeier, H
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Biomedical and Clinical Sciences ,Clinical Sciences ,Mental Health ,Sleep Research ,Clinical Research ,Brain Disorders ,Genetics ,Human Genome ,2.1 Biological and endogenous factors ,Aetiology ,Good Health and Well Being ,Adult ,Black or African American ,Aged ,Dyssomnias ,Female ,Genetic Association Studies ,Genome-Wide Association Study ,Humans ,Male ,Middle Aged ,Polymorphism ,Single Nucleotide ,Self Report ,Sleep ,White People ,Biological Sciences ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry ,Clinical sciences ,Biological psychology ,Clinical and health psychology - Abstract
Usual sleep duration is a heritable trait correlated with psychiatric morbidity, cardiometabolic disease and mortality, although little is known about the genetic variants influencing this trait. A genome-wide association study (GWAS) of usual sleep duration was conducted using 18 population-based cohorts totaling 47 180 individuals of European ancestry. Genome-wide significant association was identified at two loci. The strongest is located on chromosome 2, in an intergenic region 35- to 80-kb upstream from the thyroid-specific transcription factor PAX8 (lowest P=1.1 × 10(-9)). This finding was replicated in an African-American sample of 4771 individuals (lowest P=9.3 × 10(-4)). The strongest combined association was at rs1823125 (P=1.5 × 10(-10), minor allele frequency 0.26 in the discovery sample, 0.12 in the replication sample), with each copy of the minor allele associated with a sleep duration 3.1 min longer per night. The alleles associated with longer sleep duration were associated in previous GWAS with a more favorable metabolic profile and a lower risk of attention deficit hyperactivity disorder. Understanding the mechanisms underlying these associations may help elucidate biological mechanisms influencing sleep duration and its association with psychiatric, metabolic and cardiovascular disease.
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- 2015
5. Geographic origin as a determinant of left ventricular mass and diastolic function – the Cardiovascular Risk in Young Finns Study
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VÄHÄMURTO, L., JUONALA, M., RUOHONEN, S., HUTRI-KÄHÖNEN, N., KÄHÖNEN, M., LAITINEN, T., TOSSAVAINEN, P., JOKINEN, E., VIIKARI, J., RAITAKARI, O. T., and PAHKALA, K.
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- 2018
6. A genome-wide meta-analysis of association studies of Cloninger's Temperament Scales.
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Service, SK, Verweij, KJH, Lahti, J, Congdon, E, Ekelund, J, Hintsanen, M, Räikkönen, K, Lehtimäki, T, Kähönen, M, Widen, E, Taanila, A, Veijola, J, Heath, AC, Madden, PAF, Montgomery, GW, Sabatti, C, Järvelin, M-R, Palotie, A, Raitakari, O, Viikari, J, Martin, NG, Eriksson, JG, Keltikangas-Järvinen, L, Wray, NR, and Freimer, NB
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Humans ,Cohort Studies ,Longitudinal Studies ,Reproducibility of Results ,Personality ,Temperament ,Personality Inventory ,Psychometrics ,Twins ,Genotype ,Linkage Disequilibrium ,Phenotype ,Genetic Heterogeneity ,Polymorphism ,Single Nucleotide ,Adult ,Middle Aged ,Australia ,Finland ,Female ,Male ,Genome-Wide Association Study ,association ,genetics ,genome-wide ,meta-analysis ,personality ,temperament ,Polymorphism ,Single Nucleotide ,Clinical Sciences ,Public Health and Health Services ,Psychology - Abstract
Temperament has a strongly heritable component, yet multiple independent genome-wide studies have failed to identify significant genetic associations. We have assembled the largest sample to date of persons with genome-wide genotype data, who have been assessed with Cloninger's Temperament and Character Inventory. Sum scores for novelty seeking, harm avoidance, reward dependence and persistence have been measured in over 11,000 persons collected in four different cohorts. Our study had >80% power to identify genome-wide significant loci (P
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- 2012
7. Regulation of NC886 RNAs is associated with cardiometabolic risk factors, death and stroke
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Rajić, S., primary, Marttila, S., additional, Hutri-Kähönen, N., additional, Kähönen, M., additional, Lehtimäki, T., additional, Lyytikäinen, L.-P., additional, Mishra, P., additional, Mononen, N., additional, Raitakari, O., additional, Waldenberger, M., additional, Delerue, T., additional, März, W., additional, Kleber, M., additional, Harville, E., additional, Zhang, R., additional, and Raitoharju, E., additional
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- 2023
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8. Identification of blood modular genome-wide gene expression biomarkers of cardiovascular health and depression in the young finns study
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Mishra, B., primary, Raitoharju, E., additional, Mononen, N., additional, Viikari, J., additional, Juonala, M., additional, Hutri-Kähönen, N., additional, Kähönen, M., additional, Raitakari, O., additional, Lehtimäki, T., additional, and Mishra, P., additional
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- 2023
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9. Differentially methylated DNA loci between Eastern and Western Finns associate with CHD risk factors
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Ciantar, J., primary, Marttila, S., additional, Rajić, S., additional, Mishra, P., additional, Lehtimäki, T., additional, Raitakari, O., additional, and Raitoharju, E., additional
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- 2023
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10. The interplay between inflammatory cytokines and cardiometabolic disease: bi-directional mendelian randomisation study
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Karhunen, V. (Ville), Gill, D. (Dipender), Huang, J. (Jian), Bouras, E. (Emmanouil), Malik, R. (Rainer), Ponsford, M. J. (Mark J.), Ahola-Olli, A. (Ari), Papadopoulou, A. (Areti), Palaniswamy, S. (Saranya), Sebert, S. (Sylvain), Wielscher, M. (Matthias), Auvinen, J. (Juha), Veijola, J. (Juha), Herzig, K.-H. (Karl-Heinz), Timonen, M. (Markku), Keinänen-Kiukaanniemi, S. (Sirkka), Dichgans, M. (Martin), Salmi, M. (Marko), Jalkanen, S. (Sirpa), Lehtimäki, T. (Terho), Salomaa, V. (Veikko), Raitakari, O. (Olli), Jones, S. A. (Simon A.), Hovingh, G. K. (G. Kees), Tsilidis, K. K. (Konstantinos K.), Järvelin, M.-R. (Marjo-Riitta), Dehghan, A. (Abbas), Karhunen, V. (Ville), Gill, D. (Dipender), Huang, J. (Jian), Bouras, E. (Emmanouil), Malik, R. (Rainer), Ponsford, M. J. (Mark J.), Ahola-Olli, A. (Ari), Papadopoulou, A. (Areti), Palaniswamy, S. (Saranya), Sebert, S. (Sylvain), Wielscher, M. (Matthias), Auvinen, J. (Juha), Veijola, J. (Juha), Herzig, K.-H. (Karl-Heinz), Timonen, M. (Markku), Keinänen-Kiukaanniemi, S. (Sirkka), Dichgans, M. (Martin), Salmi, M. (Marko), Jalkanen, S. (Sirpa), Lehtimäki, T. (Terho), Salomaa, V. (Veikko), Raitakari, O. (Olli), Jones, S. A. (Simon A.), Hovingh, G. K. (G. Kees), Tsilidis, K. K. (Konstantinos K.), Järvelin, M.-R. (Marjo-Riitta), and Dehghan, A. (Abbas)
- Abstract
Objective: To leverage large scale genetic association data to investigate the interplay between circulating cytokines and cardiometabolic traits, and thus identifying potential therapeutic targets. Design: Bi-directional Mendelian randomisation study. Setting: Genome-wide association studies from three Finnish cohorts (Northern Finland Birth Cohort 1966, Young Finns Study, or FINRISK study), and genetic association summary statistics pooled from observational studies for expression quantitative trait loci and cardiometabolic traits. Participants: Data for 47 circulating cytokines in 13 365 individuals from genome-wide association studies, summary statistic data for up to 21 735 individuals on circulating cytokines, summary statistic gene expression data across 49 tissues in 838 individuals, and summary statistic data for up to 1 320 016 individuals on cardiometabolic traits. Interventions: Relations between circulating cytokines and cardiovascular, anthropometric, lipid, or glycaemic traits (coronary artery disease, stroke, type 2 diabetes mellitus, body mass index, waist circumference, waist to hip ratio, systolic blood pressure, glycated haemoglobin, high density lipoprotein cholesterol, low density lipoprotein cholesterol, total cholesterol, triglycerides, C reactive protein, glucose, fasting insulin, and lifetime smoking). Main outcome methods: Genetic instrumental variables that are biologically plausible for the circulating cytokines were generated. The effects of cardiometabolic risk factors on concentrations of circulating cytokines, circulating cytokines on other circulating cytokines, and circulating cytokines on cardiometabolic outcomes were investigated. Results: Genetic evidence (mendelian randomisation P<0.0011) suggests that higher body mass index, waist circumference, smoking, higher concentrations of lipids, and systolic blood pressure increase circulating concentrations of several inflammatory cytokines and C reactive protein. Evidence
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- 2023
11. The relationship of trait-like compassion with epigenetic aging:the population-based prospective Young Finns Study
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Dobewall, H. (Henrik), Keltikangas-Järvinen, L. (Liisa), Marttila, S. (Saara), Mishra, P. P. (Pashupati P.), Saarinen, A. (Aino), Cloninger, C. R. (C. Robert), Zwir, I. (Igor), Kähönen, M. (Mika), Hurme, M. (Mikko), Raitakari, O. (Olli), Lehtimäki, T. (Terho), Hintsanen, M. (Mirka), Dobewall, H. (Henrik), Keltikangas-Järvinen, L. (Liisa), Marttila, S. (Saara), Mishra, P. P. (Pashupati P.), Saarinen, A. (Aino), Cloninger, C. R. (C. Robert), Zwir, I. (Igor), Kähönen, M. (Mika), Hurme, M. (Mikko), Raitakari, O. (Olli), Lehtimäki, T. (Terho), and Hintsanen, M. (Mirka)
- Abstract
Introduction: Helping others within and beyond the family has been related to living a healthy and long life. Compassion is a prosocial personality trait characterized by concern for another person who is suffering and the motivation to help. The current study examines whether epigenetic aging is a potential biological mechanism that explains the link between prosociality and longevity. Methods: We used data from the Young Finns Study that follows six birth-cohorts from age 3–18 to 19–49. Trait-like compassion for others was measured with the Temperament and Character Inventory in the years 1997 and 2001. Epigenetic age acceleration and telomere length were measured with five DNA methylation (DNAm) indicators (DNAmAgeHorvath, IEAA_Hannum, EEAA_Hannum, DNAmPhenoAge, and DNAmTL) based on blood drawn in 2011. We controlled for sex, socioeconomic status in childhood and adulthood, and body-mass index. Results and discussion: An association between higher compassion in 1997 and a less accelerated DNAmPhenoAge, which builds on previous work on phenotypic aging, approached statistical significance in a sex-adjusted model (n = 1,030; b = −0.34; p = 0.050). Compassion in 1997 predicted less accelerated epigenetic aging over and above the control variables (n = 843; b = −0.47; p = 0.016). There was no relationship between compassion in 2001 (n = 1108/910) and any of the other four studied epigenetic aging indicators. High compassion for others might indeed influence whether an individual’s biological age is lower than their chronological age. The conducted robustness checks partially support this conclusion, yet cannot rule out that there might be a broader prosocial trait behind the findings. The observed associations are interesting but should be interpreted as weak requiring replication.
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- 2023
12. Longitudinal metabolomics of increasing body-mass index and waist-hip ratio reveals two dynamic patterns of obesity pandemic
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Mäkinen, V.-P. (Ville-Petteri), Kettunen, J. (Johannes), Lehtimäki, T. (Terho), Kähönen, M. (Mika), Viikari, J. (Jorma), Perola, M. (Markus), Salomaa, V. (Veikko), Järvelin, M.-R. (Marjo-Riitta), Raitakari, O. T. (Olli T.), Ala-Korpela, M. (Mika), Mäkinen, V.-P. (Ville-Petteri), Kettunen, J. (Johannes), Lehtimäki, T. (Terho), Kähönen, M. (Mika), Viikari, J. (Jorma), Perola, M. (Markus), Salomaa, V. (Veikko), Järvelin, M.-R. (Marjo-Riitta), Raitakari, O. T. (Olli T.), and Ala-Korpela, M. (Mika)
- Abstract
Background/Objectives: This observational study dissects the complex temporal associations between body-mass index (BMI), waist-hip ratio (WHR) and circulating metabolomics using a combination of longitudinal and cross-sectional population-based datasets and new systems epidemiology tools. Subjects/Methods: Firstly, a data-driven subgrouping algorithm was employed to simplify high-dimensional metabolic profiling data into a single categorical variable: a self-organizing map (SOM) was created from 174 metabolic measures from cross-sectional surveys (FINRISK, n = 9708, ages 25–74) and a birth cohort (NFBC1966, n = 3117, age 31 at baseline, age 46 at follow-up) and an expert committee defined four subgroups of individuals based on visual inspection of the SOM. Secondly, the subgroups were compared regarding BMI and WHR trajectories in an independent longitudinal dataset: participants of the Young Finns Study (YFS, n = 1286, ages 24–39 at baseline, 10 years follow-up, three visits) were categorized into the four subgroups and subgroup-specific age-dependent trajectories of BMI, WHR and metabolic measures were modelled by linear regression. Results: The four subgroups were characterised at age 39 by high BMI, WHR and dyslipidemia (designated TG-rich); low BMI, WHR and favourable lipids (TG-poor); low lipids in general (Low lipid) and high low-density-lipoprotein cholesterol (High LDL-C). Trajectory modelling of the YFS dataset revealed a dynamic BMI divergence pattern: despite overlapping starting points at age 24, the subgroups diverged in BMI, fasting insulin (three-fold difference at age 49 between TG-rich and TG-poor) and insulin-associated measures such as triglyceride-cholesterol ratio. Trajectories also revealed a WHR progression pattern: despite different starting points at the age of 24 in WHR, LDL-C and cholesterol-associated measures, all subgroups exhibited similar rates of change in these measures, i.e. WHR progression was uniform regardless of the
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- 2023
13. Circulating cell-free DNA in health and disease:the relationship to health behaviours, ageing phenotypes and metabolomics
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Kananen, L. (Laura), Hurme, M. (Mikko), Buerkle, A. (Alexander), Moreno-Villanueva, M. (Maria), Bernhardt, J. (Jurgen), Debacq-Chainiaux, F. (Florence), Grubeck-Loebenstein, B. (Beatrix), Malavolta, M. (Marco), Basso, A. (Andrea), Piacenza, F. (Francesco), Collino, S. (Sebastiano), Gonos, E. S. (Efstathios S.), Sikora, E. (Ewa), Gradinaru, D. (Daniela), Jansen, E. H. (Eugene H. J. M.), Dolle, M. E. (Martijn E. T.), Salmon, M. (Michel), Stuetz, W. (Wolfgang), Weber, D. (Daniela), Grune, T. (Tilman), Breusing, N. (Nicolle), Simm, A. (Andreas), Capri, M. (Miriam), Franceschi, C. (Claudio), Slagboom, E. (Eline), Talbot, D. (Duncan), Libert, C. (Claude), Raitanen, J. (Jani), Koskinen, S. (Seppo), Härkänen, T. (Tommi), Stenholm, S. (Sari), Ala-Korpela, M. (Mika), Lehtimäki, T. (Terho), Raitakari, O. T. (Olli T.), Ukkola, O. (Olavi), Kähönen, M. (Mika), Jylhä, M. (Marja), Jylhävä, J. (Juulia), Kananen, L. (Laura), Hurme, M. (Mikko), Buerkle, A. (Alexander), Moreno-Villanueva, M. (Maria), Bernhardt, J. (Jurgen), Debacq-Chainiaux, F. (Florence), Grubeck-Loebenstein, B. (Beatrix), Malavolta, M. (Marco), Basso, A. (Andrea), Piacenza, F. (Francesco), Collino, S. (Sebastiano), Gonos, E. S. (Efstathios S.), Sikora, E. (Ewa), Gradinaru, D. (Daniela), Jansen, E. H. (Eugene H. J. M.), Dolle, M. E. (Martijn E. T.), Salmon, M. (Michel), Stuetz, W. (Wolfgang), Weber, D. (Daniela), Grune, T. (Tilman), Breusing, N. (Nicolle), Simm, A. (Andreas), Capri, M. (Miriam), Franceschi, C. (Claudio), Slagboom, E. (Eline), Talbot, D. (Duncan), Libert, C. (Claude), Raitanen, J. (Jani), Koskinen, S. (Seppo), Härkänen, T. (Tommi), Stenholm, S. (Sari), Ala-Korpela, M. (Mika), Lehtimäki, T. (Terho), Raitakari, O. T. (Olli T.), Ukkola, O. (Olavi), Kähönen, M. (Mika), Jylhä, M. (Marja), and Jylhävä, J. (Juulia)
- Abstract
Circulating cell-free DNA (cf-DNA) has emerged as a promising biomarker of ageing, tissue damage and cellular stress. However, less is known about health behaviours, ageing phenotypes and metabolic processes that lead to elevated cf-DNA levels. We sought to analyse the relationship of circulating cf-DNA level to age, sex, smoking, physical activity, vegetable consumption, ageing phenotypes (physical functioning, the number of diseases, frailty) and an extensive panel of biomarkers including blood and urine metabolites and inflammatory markers in three human cohorts (N = 5385; 17‐82 years). The relationships were assessed using correlation statistics, and linear and penalised regressions (the Lasso), also stratified by sex. cf-DNA levels were significantly higher in men than in women, and especially in middle-aged men and women who smoke, and in older more frail individuals. Correlation statistics of biomarker data showed that cf-DNA level was higher with elevated inflammation (C-reactive protein, interleukin-6), and higher levels of homocysteine, and proportion of red blood cells and lower levels of ascorbic acid. Inflammation (C-reactive protein, glycoprotein acetylation), amino acids (isoleucine, leucine, tyrosine), and ketogenesis (3-hydroxybutyrate) were included in the cf-DNA level-related biomarker profiles in at least two of the cohorts. In conclusion, circulating cf-DNA level is different by sex, and related to health behaviour, health decline and metabolic processes common in health and disease. These results can inform future studies where epidemiological and biological pathways of cf-DNA are to be analysed in details, and for studies evaluating cf-DNA as a potential clinical marker.
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- 2023
14. Childhood dyslipidemia and carotid atherosclerotic plaque in adulthood:the Cardiovascular Risk in Young Finns Study
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Koskinen, J. S. (Juhani S.), Kytö, V. (Ville), Juonala, M. (Markus), Viikari, J. S. (Jorma S. A.), Nevalainen, J. (Jaakko), Kähönen, M. (Mika), Lehtimäki, T. (Terho), Hutri-Kähönen, N. (Nina), Laitinen, T. P. (Tomi P.), Tossavainen, P. (Päivi), Jokinen, E. (Eero), Magnussen, C. G. (Costan G.), Raitakari, O. T. (Olli T.), Koskinen, J. S. (Juhani S.), Kytö, V. (Ville), Juonala, M. (Markus), Viikari, J. S. (Jorma S. A.), Nevalainen, J. (Jaakko), Kähönen, M. (Mika), Lehtimäki, T. (Terho), Hutri-Kähönen, N. (Nina), Laitinen, T. P. (Tomi P.), Tossavainen, P. (Päivi), Jokinen, E. (Eero), Magnussen, C. G. (Costan G.), and Raitakari, O. T. (Olli T.)
- Abstract
Background: Childhood exposure to dyslipidemia is associated with adult atherosclerosis, but it is unclear whether the long‐term risk associated with dyslipidemia is attenuated on its resolution by adulthood. We aimed to address this question by examining the links between childhood and adult dyslipidemia on carotid atherosclerotic plaques in adulthood. Methods and Results: The Cardiovascular Risk in Young Finns Study is a prospective follow‐up of children that began in 1980. Since then, follow‐up studies have been conducted regularly. In 2001 and 2007, carotid ultrasounds were performed on 2643 participants at the mean age of 36 years to identify carotid plaques and plaque areas. For childhood lipids, we exploited several risk factor measurements to determine the individual cumulative burden for each lipid during childhood. Participants were categorized into the following 4 groups based on their childhood and adult dyslipidemia status: no dyslipidemia (reference), incident, resolved, and persistent. Among individuals with carotid plaque, linear regression models were used to study the association of serum lipids with plaque area. The prevalence of plaque was 3.3% (N=88). In models adjusted for age, sex, and nonlipid cardiovascular risk factors, the relative risk for carotid plaque was 2.34 (95% CI, 0.91–6.00) for incident adult dyslipidemia, 3.00 (95% CI, 1.42–6.34) for dyslipidemia resolved by adulthood, and 5.23 (95% CI, 2.57–10.66) for persistent dyslipidemia. Carotid plaque area correlated with childhood total, low‐density lipoprotein, and non–high‐density lipoprotein cholesterol levels. Conclusions: Childhood dyslipidemia, even if resolved by adulthood, is a risk factor for adult carotid plaque. Furthermore, among individuals with carotid plaque, childhood lipids associate with plaque size. These findings highlight the importance of primordial prevention of dyslipidemia in childhood to reduce atherosclerosis development.
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- 2023
15. Cross-sectionally calculated metabolic aging does not relate to longitudinal metabolic changes:support for stratified aging models
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Ala-Korpela, M. (Mika), Lehtimäki, T. (Tero), Kähönen, M. (Mika), Viikari, J. (Jorma), Perola, M. (Markus), Salomaa, V. (Veikko), Kettunen, J. (Johannes), Raitakari, O. T. (Olli T.), Mäkinen, V.-P. (Ville-Petteri), Ala-Korpela, M. (Mika), Lehtimäki, T. (Tero), Kähönen, M. (Mika), Viikari, J. (Jorma), Perola, M. (Markus), Salomaa, V. (Veikko), Kettunen, J. (Johannes), Raitakari, O. T. (Olli T.), and Mäkinen, V.-P. (Ville-Petteri)
- Abstract
Context: Aging varies between individuals, with profound consequences for chronic diseases and longevity. One hypothesis to explain the diversity is a genetically regulated molecular clock that runs differently between individuals. Large human studies with long enough follow-up to test the hypothesis are rare due to practical challenges, but statistical models of aging are built as proxies for the molecular clock by comparing young and old individuals cross-sectionally. These models remain untested against longitudinal data. Objective: We applied novel methodology to test if cross-sectional modeling can distinguish slow vs accelerated aging in a human population. Methods: We trained a machine learning model to predict age from 153 clinical and cardiometabolic traits. The model was tested against longitudinal data from another cohort. The training data came from cross-sectional surveys of the Finnish population (n = 9708; ages 25–74 years). The validation data included 3 time points across 10 years in the Young Finns Study (YFS; n = 1009; ages 24–49 years). Predicted metabolic age in 2007 was compared against observed aging rate from the 2001 visit to the 2011 visit in the YFS dataset and correlation between predicted vs observed metabolic aging was determined. Results: The cross-sectional proxy failed to predict longitudinal observations (R2 = 0.018%, P = 0.67). Conclusion: The finding is unexpected under the clock hypothesis that would produce a positive correlation between predicted and observed aging. Our results are better explained by a stratified model where aging rates per se are similar in adulthood but differences in starting points explain diverging metabolic fates.
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- 2023
16. Effect of common pregnancy and perinatal complications on offspring metabolic traits across the life course:a multi-cohort study
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Elhakeem, A. (Ahmed), Ronkainen, J. (Justiina), Mansell, T. (Toby), Lange, K. (Katherine), Mikkola, T. M. (Tuija M.), Mishra, B. H. (Binisha H.), Wahab, R. J. (Rama J.), Cadman, T. (Tim), Yang, T. (Tiffany), Burgner, D. (David), Eriksson, J. G. (Johan G.), Järvelin, M.-R. (Marjo-Riitta), Gaillard, R. (Romy), Jaddoe, V. W. (Vincent W. V.), Lehtimäki, T. (Terhoi), Raitakari, O. T. (Olli T.), Saffery, R. (Richard), Wake, M. (Melissa), Wright, J. (John), Sebert, S. (Sylvain), Lawlor, D. A. (Deborah A.), Elhakeem, A. (Ahmed), Ronkainen, J. (Justiina), Mansell, T. (Toby), Lange, K. (Katherine), Mikkola, T. M. (Tuija M.), Mishra, B. H. (Binisha H.), Wahab, R. J. (Rama J.), Cadman, T. (Tim), Yang, T. (Tiffany), Burgner, D. (David), Eriksson, J. G. (Johan G.), Järvelin, M.-R. (Marjo-Riitta), Gaillard, R. (Romy), Jaddoe, V. W. (Vincent W. V.), Lehtimäki, T. (Terhoi), Raitakari, O. T. (Olli T.), Saffery, R. (Richard), Wake, M. (Melissa), Wright, J. (John), Sebert, S. (Sylvain), and Lawlor, D. A. (Deborah A.)
- Abstract
Background: Common pregnancy and perinatal complications are associated with offspring cardiometabolic risk factors. These complications may influence multiple metabolic traits in the offspring and these associations might differ with offspring age. Methods: We used data from eight population-based cohort studies to examine and compare associations of pre-eclampsia (PE), gestational hypertension (GH), gestational diabetes (GD), preterm birth (PTB), small (SGA) and large (LGA) for gestational age (vs. appropriate size for gestational age (AGA)) with up to 167 plasma/serum-based nuclear magnetic resonance-derived metabolic traits encompassing lipids, lipoproteins, fatty acids, amino acids, ketones, glycerides/phospholipids, glycolysis, fluid balance, and inflammation. Confounder-adjusted regression models were used to examine associations (adjusted for maternal education, parity age at pregnancy, ethnicity, pre/early pregnancy body mass index and smoking, and offspring sex and age at metabolic trait assessment), and results were combined using meta-analysis by five age categories representing different periods of the offspring life course: neonates (cord blood), infancy (mean ages: 1.1–1.6 years), childhood (4.2–7.5 years); adolescence (12.0–16.0 years), and adulthood (22.0–67.8 years). Results: Offspring numbers for each age category/analysis varied from 8925 adults (441 PTB) to 1181 infants (135 GD); 48.4% to 60.0% were females. Pregnancy complications (PE, GH, GD) were each associated with up to three metabolic traits in neonates (P≤0.001) with some evidence of persistence to older ages. PTB and SGA were associated with 32 and 12 metabolic traits in neonates respectively, which included an adjusted standardised mean difference of −0.89 standard deviation (SD) units for albumin with PTB (95% CI: −1.10 to −0.69, P=1.3×10⁻¹⁷) and −0.41 SD for total lipids in medium HDL with SGA (95% CI: −0.56 to −0.25, P=2.6×10⁻⁷), with some evidence of persistence to older a
- Published
- 2023
17. Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4·4 million participants
- Author
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Zhou, B, Lu, Y, Hajifathalian, K, Bentham, J, Di Cesare, M, Danaei, G, Bixby, H, Cowan, MJ, Ali, MK, Taddei, C, Lo, WC, Reis-Santos, B, Stevens, GA, Riley, LM, Miranda, JJ, Bjerregaard, P, Rivera, JA, Fouad, HM, Ma, G, Mbanya, JC, McGarvey, ST, Mohan, V, Onat, A, Pilav, A, Ramachandran, A, Romdhane, HB, Paciorek, CJ, Bennett, JE, Ezzati, M, Abdeen, ZA, Abdul Kadir, K, Abu-Rmeileh, NM, Acosta-Cazares, B, Adams, R, Aekplakorn, W, Aguilar-Salinas, CA, Agyemang, C, Ahmadvand, A, Al-Othman, AR, Alkerwi, A, Amouyel, P, Amuzu, A, Andersen, LB, Anderssen, SA, Anjana, RM, Aounallah-Skhiri, H, Aris, T, Arlappa, N, Arveiler, D, Assah, FK, Avdicová, M, Azizi, F, Balakrishna, N, Bandosz, P, Barbagallo, CM, Barceló, A, Batieha, AM, Baur, LA, Benet, M, Bernabe-Ortiz, A, Bharadwaj, S, Bhargava, SK, Bi, Y, Bjertness, E, Bjertness, MB, Björkelund, C, Blokstra, A, Bo, S, Boehm, BO, Boissonnet, CP, Bovet, P, Brajkovich, I, Breckenkamp, J, Brenner, H, Brewster, LM, Brian, GR, Bruno, G, Bugge, A, Cabrera de León, A, Can, G, Cândido, AP, Capuano, V, Carlsson, AC, Carvalho, MJ, Casanueva, FF, Casas, JP, Caserta, CA, Castetbon, K, Chamukuttan, S, Chaturvedi, N, Chen, CJ, Chen, F, Chen, S, Cheng, CY, Chetrit, A, Chiou, ST, Cho, Y, Chudek, J, Cifkova, R, Claessens, F, Concin, H, Cooper, C, Cooper, R, Costanzo, S, Cottel, D, Cowell, C, Crujeiras, AB, D'Arrigo, G, Dallongeville, J, Dankner, R, Dauchet, L, de Gaetano, G, De Henauw, S, Deepa, M, Dehghan, A, Deschamps, V, Dhana, K, Di Castelnuovo, AF, Djalalinia, S, Doua, K, Drygas, W, Du, Y, Dzerve, V, Egbagbe, EE, Eggertsen, R, El Ati, J, Elosua, R, Erasmus, RT, Erem, C, Ergor, G, Eriksen, L, Escobedo-de la Peña, J, Fall, CH, Farzadfar, F, Felix-Redondo, FJ, Ferguson, TS, Fernández-Bergés, D, Ferrari, M, Ferreccio, C, Feskens, EJ, Finn, JD, Föger, B, Foo, LH, Forslund, AS, Francis, DK, Franco Mdo, C, Franco, OH, Frontera, G, Furusawa, T, Gaciong, Z, Garnett, SP, Gaspoz, JM, Gasull, M, Gates, L, Geleijnse, JM, Ghasemian, A, Ghimire, A, Giampaoli, S, Gianfagna, F, Giovannelli, J, Giwercman, A, Gross, MG, González Rivas, JP, Gorbea, MB, Gottrand, F, Grafnetter, D, Grodzicki, T, Grøntved, A, Gruden, G, Gu, D, Guan, OP, Guerrero, R, Guessous, I, Guimaraes, AL, Gutierrez, L, Hambleton, IR, Hardy, R, Hari Kumar, R, Hata, J, He, J, Heidemann, C, Herrala, S, Hihtaniemi, IT, Ho, SY, Ho, SC, Hofman, A, Hormiga, CM, Horta, BL, Houti, L, Howitt, C, Htay, TT, Htet, AS, Htike, MM, Hu, Y, Hussieni, AS, Huybrechts, I, Hwalla, N, Iacoviello, L, Iannone, AG, Ibrahim, MM, Ikeda, N, Ikram, MA, Irazola, VE, Islam, M, Iwasaki, M, Jacobs, JM, Jafar, T, Jamil, KM, Jasienska, G, Jiang, CQ, Jonas, JB, Joshi, P, Kafatos, A, Kalter-Leibovici, O, Kasaeian, A, Katz, J, Kaur, P, Kavousi, M, Keinänen-Kiukaanniemi, S, Kelishadi, R, Kengne, AP, Kersting, M, Khader, YS, Khalili, D, Khang, YH, Kiechl, S, Kim, J, Kolsteren, P, Korrovits, P, Kratzer, W, Kromhout, D, Kujala, UM, Kula, K, Kyobutungi, C, Laatikainen, T, Lachat, C, Laid, Y, Lam, TH, Landrove, O, Lanska, V, Lappas, G, Laxmaiah, A, Leclercq, C, Lee, J, Lehtimäki, T, Lekhraj, R, León-Muñoz, LM, Li, Y, Lim, WY, Lima-Costa, MF, Lin, HH, Lin, X, Lissner, L, Lorbeer, R, Lozano, JE, Luksiene, D, Lundqvist, A, Lytsy, P, Machado-Coelho, GL, Machi, S, Maggi, S, Magliano, DJ, Makdisse, M, Mallikharjuna Rao, K, Manios, Y, Manzato, E, Margozzini, P, Marques-Vidal, P, Martorell, R, Masoodi, SR, Mathiesen, EB, Matsha, TE, McFarlane, SR, McLachlan, S, McNulty, BA, Mediene-Benchekor, S, Meirhaeghe, A, Menezes, AM, Merat, S, Meshram, II, Mi, J, Miquel, JF, Mohamed, MK, Mohammad, K, Mohammadifard, N, Mohd Yusoff, MF, Møller, NC, Molnár, D, Mondo, CK, Morejon, A, Moreno, LA, Morgan, K, Moschonis, G, Mossakowska, M, Mostafa, A, Mota, J, Motta, J, Mu, TT, Muiesan, ML, Müller-Nurasyid, M, Mursu, J, Nagel, G, Námešná, J, Nang, EE, NangThetia, VB, Navarrete-Muñoz, EM, Ndiaye, NC, Nenko, I, Nervi, F, Nguyen, ND, Nguyen, QN, Nieto-Martínez, RE, Ning, G, Ninomiya, T, Noale, M, Noto, D, Nsour, MA, Ochoa-Avilés, AM, Oh, K, Ordunez, P, Osmond, C, Otero, JA, Owusu-Dabo, E, Pahomova, E, Palmieri, L, Panda-Jonas, S, Panza, F, Parsaeian, M, Peixoto, SV, Pelletier, C, Peltonen, M, Peters, A, Peykari, N, Pham, ST, Pitakaka, F, Piwonska, A, Piwonski, J, Plans-Rubió, P, Porta, M, Portegies, ML, Poustchi, H, Pradeepa, R, Price, JF, Punab, M, Qasrawi, RF, Qorbani, M, Radisauskas, R, Rahman, M, Raitakari, O, Rao, SR, Ramke, J, Ramos, R, Rampal, S, Rathmann, W, Redon, J, Reganit, PF, Rigo, F, Robinson, SM, Robitaille, C, Rodríguez-Artalejo, F, Rodriguez-Perez Mdel, C, Rodríguez-Villamizar, LA, Rojas-Martinez, R, Ronkainen, K, Rosengren, A, Rubinstein, A, Rui, O, Ruiz-Betancourt, BS, Russo Horimoto, RV, Rutkowski, M, Sabanayagam, C, Sachdev, HS, Saidi, O, Sakarya, S, Salanave, B, Salonen, JT, Salvetti, M, Sánchez-Abanto, J, Santos, D, dos Santos, RN, Santos, R, Saramies, JL, Sardinha, LB, Sarrafzadegan, N, Saum, KU, Scazufca, M, Schargrodsky, H, Scheidt-Nave, C, Sein, AA, Sharma, SK, Shaw, JE, Shibuya, K, Shin, Y, Shiri, R, Siantar, R, Sibai, AM, Simon, M, Simons, J, Simons, LA, Sjostrom, M, Slowikowska-Hilczer, J, Slusarczyk, P, Smeeth, L, Snijder, MB, So, HK, Sobngwi, E, Söderberg, S, Solfrizzi, V, Sonestedt, E, Soumare, A, Staessen, JA, Stathopoulou, MG, Steene-Johannessen, J, Stehle, P, Stein, AD, Stessman, J, Stöckl, D, Stokwiszewski, J, Stronks, K, Strufaldi, MW, Sun, CA, Sundström, J, Sung, YT, Suriyawongpaisal, P, Sy, RG, Tai, ES, Tamosiunas, A, Tang, L, Tarawneh, M, Tarqui-Mamani, CB, Taylor, A, Theobald, H, Thijs, L, Thuesen, BH, Tolonen, HK, Tolstrup, JS, Topbas, M, Torrent, M, Traissac, P, Trinh, OT, Tulloch-Reid, MK, Tuomainen, TP, Turley, ML, Tzourio, C, Ueda, P, Ukoli, FA, Ulmer, H, Uusitalo, HM, Valdivia, G, Valvi, D, van Rossem, L, van Valkengoed, IG, Vanderschueren, D, Vanuzzo, D, Vega, T, Velasquez-Melendez, G, Veronesi, G, Verschuren, WM, Verstraeten, R, Viet, L, Vioque, J, Virtanen, JK, Visvikis-Siest, S, Viswanathan, B, Vollenweider, P, Voutilainen, S, Vrijheid, M, Wade, AN, Wagner, A, Walton, J, Wan Mohamud, WN, Wang, F, Wang, MD, Wang, Q, Wang, YX, Wannamethee, SG, Weerasekera, D, Whincup, PH, Widhalm, K, Wiecek, A, Wijga, AH, Wilks, RJ, Willeit, J, Wilsgaard, T, Wojtyniak, B, Wong, TY, Woo, J, Woodward, M, Wu, FC, Wu, SL, Xu, H, Yan, W, Yang, X, Ye, X, Yoshihara, A, Younger-Coleman, NO, Zambon, S, Zargar, AH, Zdrojewski, T, Zhao, W, Zheng, Y, and Zuñiga Cisneros, J
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- 2016
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18. Effects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: a pooled analysis of 96 population-based studies with 331 288 participants
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Danaei, G, Fahimi, S, Lu, Y, Zhou, B, Hajifathalian, K, Di Cesare, M, Lo, WC, Reis-Santos, B, Cowan, MJ, Shaw, JE, Bentham, J, Lin, JK, Bixby, H, Magliano, D, Bovet, P, Miranda, JJ, Khang, YH, Stevens, GA, Riley, LM, Ali, MK, Ezzati, M, Abdeen, ZA, Kadir, KA, Abu-Rmeileh, M, Acosta-Cazares, B, Aekplakorn, W, Aguilar-Salinas, CA, Ahmadvand, A, Al Nsour, M, Alkerwi, A, Amouyel, P, Andersen, LB, Anderssen, SA, Andrade, DS, Anjana, RM, Aounallah-Skhiri, H, Aris, T, Arlappa, N, Arveiler, D, Assah, FK, Avdicová, M, Balakrishna, N, Bandosz, P, Barbagallo, CM, Barceló, A, Batieha, AM, Baur, LA, Ben Romdhane, H, Bernabe-Ortiz, A, Bhargava, SK, Bi, Y, Bjerregaard, P, Björkelund, C, Blake, M, Blokstra, A, Bo, S, Boehm, BO, Boissonnet, CP, Brajkovich, I, Breckenkamp, J, Brewster, LM, Brian, GR, Bruno, G, Bugge, A, Cabrera de León, A, Can, G, Cândido, AP, Capuano, V, Carvalho, MJ, Casanueva, FF, Caserta, CA, Castetbon, K, Chamukuttan, S, Chaturvedi, N, Chen, CJ, Chen, F, Chen, S, Cheng, CY, Chetrit, A, Chiou, ST, Cho, Y, Chudek, J, Cifkova, R, Claessens, F, Concin, H, Cooper, C, Cooper, R, Costanzo, S, Cottel, D, Cowell, C, Crujeiras, AB, D'Arrigo, G, Dallongeville, J, Dankner, R, Dauchet, L, de Gaetano, G, De Henauw, S, Deepa, M, Dehghan, A, Dhana, K, Di Castelnuovo, AF, Djalalinia, S, Doua, K, Drygas, W, Du, Y, Egbagbe, EE, Eggertsen, R, El Ati, J, Elosua, R, Erasmus, RT, Erem, C, Ergor, G, Eriksen, L, Escobedo-de la Peña, J, Fall, CH, Farzadfar, F, Felix-Redondo, FJ, Ferguson, TS, Fernández-Bergés, D, Ferrari, M, Ferreccio, C, Finn, JD, Föger, B, Foo, LH, Fouad, HM, Francis, DK, Franco Mdo, C, Frontera, G, Furusawa, T, Gaciong, Z, Galbarczyk, A, Garnett, SP, Gaspoz, JM, Gasull, M, Gates, L, Geleijnse, JM, Ghasemain, A, Giampaoli, S, Gianfagna, F, Giovannelli, J, Gonzalez Gross, M, González Rivas, JP, Gorbea, MB, Gottrand, F, Grant, JF, Grodzicki, T, Grøntved, A, Gruden, G, Gu, D, Guan, OP, Guerrero, R, Guessous, I, Guimaraes, AL, Gutierrez, L, Hardy, R, Hari Kumar, R, Heidemann, C, Hihtaniemi, IT, Ho, SY, Ho, SC, Hofman, A, Horimoto, AR, Hormiga, CM, Horta, BL, Houti, L, Hussieni, AS, Huybrechts, I, Hwalla, N, Iacoviello, L, Iannone, AG, Ibrahim, MM, Ikeda, N, Ikram, MA, Irazola, VE, Islam, M, Iwasaki, M, Jacobs, JM, Jafar, T, Jasienska, G, Jiang, CQ, Jonas, JB, Joshi, P, Kafatos, A, Kalter-Leibovici, O, Kasaeian, A, Katz, J, Kaur, P, Kavousi, M, Kelishadi, R, Kengne, AP, Kersting, M, Khader, YS, Kiechl, S, Kim, J, Kiyohara, Y, Kolsteren, P, Korrovits, P, Koskinen, S, Kratzer, W, Kromhout, D, Kula, K, Kurjata, P, Kyobutungi, C, Lachat, C, Laid, Y, Lam, TH, Lanska, V, Lappas, G, Laxmaiah, A, Leclercq, C, Lee, J, Lehtimäki, T, Lekhraj, R, León-Muñoz, LM, Li, Y, Lim, WY, Lima-Costa, MF, Lin, HH, Lin, X, Lissner, L, Lorbeer, R, Lozano, JE, Lundqvist, A, Lytsy, P, Ma, G, Machado-Coelho, GL, Machi, S, Maggi, S, Makdisse, M, Mallikharjuna v, K, Manios, Y, Manzato, E, Margozzini, P, Marques-Vidal, P, Martorell, R, Masoodi, SR, Matsha, TE, Mbanya, JC, McFarlane, SR, McGarvey, ST, McLachlan, S, McNulty, BA, Mediene-Benchekor, S, Meirhaeghe, A, Menezes, AM, Merat, S, Meshram, II, Mi, J, Miquel, JF, Mohamed, MK, Mohammad, K, Mohan, V, Mohd Yusoff, MF, Møller, NC, Molnar, D, Mondo, CK, Moreno, LA, Morgan, K, Moschonis, G, Mossakowska, M, Mostafa, A, Mota, J, Muiesan, ML, Müller-Nurasyid, M, Mursu, J, Nagel, G, Námešná, J, Nang, EE, Nangia, VB, Navarrete-Muñoz, EM, Ndiaye, NC, Nervi, F, Nguyen, ND, Nieto-Martínez, RE, Alvarado, L, Ning, G, Ninomiya, T, Noale, M, Noto, D, Ochoa-Avilés, M, Oh, K, Onat, A, Osmond, C, Otero, JA, Palmieri, L, Panda-Jonas, S, Panza, F, Parsaeian, M, Peixoto, SV, Pereira, AC, Peters, A, Peykari, N, Pilav, A, Pitakaka, F, Piwonska, A, Piwonski, J, Plans-Rubió, P, Porta, M, Portegies, ML, Poustchi, H, Pradeepa, R, Price, JF, Punab, M, Qasrawi, RF, Qorbani, M, Raitakari, O, Ramachandra Rao, S, Ramachandran, A, Ramos, R, Rampal, S, Rathmann, W, Redon, J, Reganit, PF, Rigo, F, Robinson, SM, Robitaille, C, Rodríguez, LA, Rodríguez-Artalejo, F, del Cristo Rodriguez-Perez, M, Rojas-Martinez, R, Romaguera, D, Rosengren, A, Rubinstein, A, Rui, O, Ruiz-Betancourt, BS, Rutkowski, M, Sabanayagam, C, Sachdev, HS, Saidi, O, Sakarya, S, Salanave, B, Salonen, JT, Salvetti, M, Sánchez-Abanto, J, Santos, RN, Santos, R, Sardinha, LB, Scazufca, M, Schargrodsky, H, Scheidt-Nave, C, Shibuya, K, Shin, Y, Shiri, R, Siantar, R, Sibai, AM, Simon, M, Simons, J, Simons, LA, Sjostrom, M, Slowikowska-Hilczer, J, Slusarczyk, P, Smeeth, L, Snijder, MB, Solfrizzi, V, Sonestedt, E, Soumare, A, Staessen, JA, Steene-Johannessen, J, Stehle, P, Stein, AD, Stessman, J, Stöckl, D, Stokwiszewski, J, Strufaldi, MW, Sun, CA, Sundström, J, Suriyawongpaisal, P, Sy, RG, Tai, ES, Tarawneh, M, Tarqui-Mamani, CB, Thijs, L, Tolstrup, JS, Topbas, M, Torrent, M, Traissac, P, Trinh, OT, Tulloch-Reid, MK, Tuomainen, TP, Turley, ML, Tzourio, C, Ueda, P, Ukoli, FM, Ulmer, H, Valdivia, G, van Valkengoed, IG, Vanderschueren, D, Vanuzzo, D, Vega, T, Velasquez-Melendez, G, Veronesi, G, Verschuren, M, Vioque, J, Virtanen, J, Visvikis-Siest, S, Viswanathan, B, Vollenweider, P, Voutilainen, S, Wade, AN, Wagner, A, Walton, J, Mohamud, WN, Wang, MD, Wang, YX, Wannamethee, SG, Weerasekera, D, Whincup, PH, Widhalm, K, Wiecek, A, Wilks, RJ, Willeit, J, Wojtyniak, B, Wong, TY, Woo, J, Woodward, M, Wu, AG, Wu, FC, Wu, SL, Xu, H, Yang, X, Ye, X, Yoshihara, A, Younger-Coleman, NO, Zambon, S, Zargar, AH, Zdrojewski, T, Zhao, W, and Zheng, Y
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- 2015
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19. Longitudinal physical activity trajectories from childhood to adulthood and their determinants: The Young Finns Study
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Rovio, S. P., Yang, X., Kankaanpää, A., Aalto, V., Hirvensalo, M., Telama, R., Pahkala, K., Hutri‐Kähönen, N., Viikari, J. S. A., Raitakari, O. T., and Tammelin, T. H.
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- 2018
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20. An epigenome-wide association study meta-analysis of educational attainment
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Linnér, R Karlsson, Marioni, R E, Rietveld, C A, Simpkin, A J, Davies, N M, Watanabe, K, Armstrong, N J, Auro, K, Baumbach, C, Bonder, M J, Buchwald, J, Fiorito, G, Ismail, K, Iurato, S, Joensuu, A, Karell, P, Kasela, S, Lahti, J, McRae, A F, Mandaviya, P R, Seppälä, I, Wang, Y, Baglietto, L, Binder, E B, Harris, S E, Hodge, A M, Horvath, S, Hurme, M, Johannesson, M, Latvala, A, Mather, K A, Medland, S E, Metspalu, A, Milani, L, Milne, R L, Pattie, A, Pedersen, N L, Peters, A, Polidoro, S, Räikkönen, K, Severi, G, Starr, J M, Stolk, L, Waldenberger, M, Consortium, B IOS, Eriksson, J G, Esko, T, Franke, L, Gieger, C, Giles, G G, Hägg, S, Jousilahti, P, Kaprio, J, Kähönen, M, Lehtimäki, T, Martin, N G, van Meurs, J BC, Ollikainen, M, Perola, M, Posthuma, D, Raitakari, O T, Sachdev, P S, Taskesen, E, Uitterlinden, A G, Vineis, P, Wijmenga, C, Wright, M J, Relton, C, Smith, G Davey, Deary, I J, Koellinger, P D, and Benjamin, D J
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- 2017
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21. Changes in BMI and physical activity from youth to adulthood distinguish normal-weight, metabolically obese adults from those who remain healthy
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Viitasalo, A., primary, Pahkala, K., additional, Lehtimäki, T., additional, Viikari, JSA., additional, Tammelin, TH., additional, Raitakari, O., additional, and Kilpeläinen, TO., additional
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- 2022
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22. Genetic and epigenetic regulation of nc886 RNA levels and their association to cardiometabolic phenotypes
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Rajic, S., primary, Marttila, S., additional, Mishra, P., additional, Mononen, N., additional, Raitakari, O., additional, Lyytikäinen, L.-P., additional, Kähönen, M., additional, Hutri-Kähönen, N., additional, Waldenberger, M., additional, Lehtimäki, T., additional, and Raitoharju, E., additional
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- 2022
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23. Body-mass index trajectories from childhood to mid-adulthood and their sociodemographic predictors: Evidence from the International Childhood Cardiovascular Cohort (i3C) Consortium.
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Cleland, V, Tian, J, Buscot, M-J, Magnussen, CG, Bazzano, L, Burns, TL, Daniels, S, Dwyer, T, Hutri-Kahonen, N, Ikonen, J, Jacobs, D, Juonala, M, Prineas, R, Raitakari, O, Sinaiko, A, Steinberger, J, Urbina, EM, Woo, JG, Venn, A, Cleland, V, Tian, J, Buscot, M-J, Magnussen, CG, Bazzano, L, Burns, TL, Daniels, S, Dwyer, T, Hutri-Kahonen, N, Ikonen, J, Jacobs, D, Juonala, M, Prineas, R, Raitakari, O, Sinaiko, A, Steinberger, J, Urbina, EM, Woo, JG, and Venn, A
- Abstract
BACKGROUND: Understanding lifecourse trajectories of body-mass index (BMI) is important for identifying groups at high risk of poor health and potential target points for intervention. This study aimed to describe BMI trajectories from childhood to mid-adulthood in four population-based cohorts established in the 1970s and 1980s and to identify childhood sociodemographic factors related to trajectory membership. METHODS: Between Dec 17, 1970 and Dec 15, 1994, data were collected at the first visit from 9830 participants from the International Childhood Cardiovascular Cohort (i3C) Consortium, which includes participants from Australia (1985), Finland (1980) and the USA (1970-1994). Participants had at least three measures of height and weight, including one in childhood (6-18 years) and one in adulthood (>18 years), and were aged 30-49 years at last measurement. Latent Class Growth Mixture Modelling was used to identify lifecourse BMI trajectory groups and log multinomial regression models were fit to identify their childhood sociodemographic predictors. FINDINGS: Five consistent BMI trajectory groups were identified amongst the four cohorts: persistently low (35.9-58.6%), improving from high (0.7-4.8%), progressing to moderate (9.3-43.7%), progressing to high (1.1-6.0%), and progressing to very high (0.7-1.3%). An additional three BMI trajectory groups were identified in some, but not all, cohorts: adult onset high (three cohorts; 1.8-20.7%), progressing to moderate-high (two cohorts; 5.2-13.8%), and relapsing yo-yoers (alternating upward and downward; one cohort; 1.3%). In pooled analyses, each predictor variable in childhood, including age, gender, parental education and race, was associated with increased likelihood of belonging to the most (e.g., improving from high) and least (e.g., progressing to very high) favourable BMI trajectory groups, suggesting a U-shaped (or inverse U-shaped) pattern of association. INTERPRETATION: Five consistent BMI trajectory groups
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- 2022
24. Does social intolerance vary according to cognitive styles, genetic cognitive capacity, or education?
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Saarinen, A. (Aino), Keltikangas-Järvinen, L. (Liisa), Dobewall, H. (Henrik), Cloninger, C. R. (C. Robert), Ahola-Olli, A. (Ari), Lehtimäki, T. (Terho), Hutri-Kähönen, N. (Nina), Raitakari, O. (Olli), Rovio, S. (Suvi), Ravaja, N. (Niklas), Saarinen, A. (Aino), Keltikangas-Järvinen, L. (Liisa), Dobewall, H. (Henrik), Cloninger, C. R. (C. Robert), Ahola-Olli, A. (Ari), Lehtimäki, T. (Terho), Hutri-Kähönen, N. (Nina), Raitakari, O. (Olli), Rovio, S. (Suvi), and Ravaja, N. (Niklas)
- Abstract
Background: Low education, low cognitive abilities, and certain cognitive styles are suggested to predispose to social intolerance and prejudices. Evidence is, however, restricted by comparatively small samples, neglect of confounding variables and genetic factors, and a narrow focus on a single sort of prejudice. We investigated the relationships of education, polygenic cognitive potential, cognitive performance, and cognitive styles with social intolerance in adulthood over a 15-year follow-up. Methods: We used data from the prospective population-based Young Finns Study (n = 960‒1679). Social intolerance was evaluated with the Social Intolerance Scale in 1997, 2001, and 2011; cognitive performance with the Cambridge Neuropsychological Test Automated Battery in 2011; cognitive styles in 1997; and socioeconomic factors in 1980 (childhood) and 2011 (adulthood); and polygenic cognitive potential was calculated based on genome-wide association studies. Results: We found that nonrational thinking, polygenic cognitive potential, cognitive performance, or socioeconomic factors were not related to social intolerance. Regarding cognitive styles, low flexibility (B = –0.759, p < .001), high perseverance (B = 1.245, p < .001), and low persistence (B = –0.329, p < .001) predicted higher social intolerance consistently in the analyses. Discussion: When developing prejudice-reduction interventions, it should be considered that educational level or cognitive performance may not be crucial for development of social intolerance. Adopting certain cognitive styles may play more important roles in development of social intolerance.
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- 2022
25. Pancreatic secretory trypsin inhibitor (SPINK1) gene mutation in patients with acute alcohol pancreatitis (AAP) compared to healthy controls and heavy alcohol users without pancreatitis
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Nikkola, A. (Anssi), Mäkelä, K. A. (Kari Antero), Herzig, K.-H. (Karl-Heinz), Mutt, S. J. (Shivaprakash Jagalur), Prasannan, A. (Aishwarya), Seppänen, H. (Hanna), Lehtimäki, T. (Terho), Kähönen, M. (Mika), Raitakari, O. (Olli), Seppälä, I. (Ilkka), Pakkanen, P. (Pihla), Nordback, I. (Isto), Sand, J. (Juhani), Laukkarinen, J. (Johanna), Nikkola, A. (Anssi), Mäkelä, K. A. (Kari Antero), Herzig, K.-H. (Karl-Heinz), Mutt, S. J. (Shivaprakash Jagalur), Prasannan, A. (Aishwarya), Seppänen, H. (Hanna), Lehtimäki, T. (Terho), Kähönen, M. (Mika), Raitakari, O. (Olli), Seppälä, I. (Ilkka), Pakkanen, P. (Pihla), Nordback, I. (Isto), Sand, J. (Juhani), and Laukkarinen, J. (Johanna)
- Abstract
Only 3–5% of heavy alcohol users develop acute alcohol pancreatitis (AAP). This suggests that additional triggers are required to initiate the inflammatory process. Genetic susceptibility contributes to the development of AAP, and SPINK1 mutation is a documented risk factor. We investigated the prevalence of the SPINK1(N34S) mutation in patients with AAP compared to heavy alcohol users who had never suffered an episode of pancreatitis. Blood samples for the mutational analysis from patients with first episode (n = 60) and recurrent AAP (n = 43) and from heavy alcohol users without a history of AAP (n = 98) as well as from a control population (n = 1914) were obtained. SPINK1 mutation was found in 8.7% of the patients with AAP. The prevalence was significantly lower in healthy controls (3.4%, OR 2.72; 1.32–5.64) and very low in alcoholics without pancreatitis (1.0%, OR 9.29; 1.15–74.74). In a comparison adjusted for potential cofounders between AAP patients and alcoholics, SPINK1 was found to be an independent marker for AAP. The prevalence of the SPINK1 mutation is overrepresented in AAP patients and very low in alcoholics without pancreatitis. This finding may play a role in understanding the variable susceptibility to AAP found in heavy alcohol users.
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- 2022
26. Use of antibiotics and risk of type 2 diabetes, overweight and obesity:the Cardiovascular Risk in Young Finns Study and the national FINRISK study
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Nuotio, J. (Joel), Niiranen, T. (Teemu), Laitinen, T. T. (Tomi T.), Miller, J. (Jessica), Sabin, M. A. (Matthew A.), Havulinna, A. S. (Aki S.), Viikari, J. S. (Jorma S. A.), Rönnemaa, T. (Tapani), Hutri-Kähönen, N. (Nina), Laitinen, T. P. (Tomi P.), Tossavainen, P. (Päivi), Salomaa, V. (Veikko), Raitakari, O. T. (Olli T.), Burgner, D. P. (David P.), Juonala, M. (Markus), Nuotio, J. (Joel), Niiranen, T. (Teemu), Laitinen, T. T. (Tomi T.), Miller, J. (Jessica), Sabin, M. A. (Matthew A.), Havulinna, A. S. (Aki S.), Viikari, J. S. (Jorma S. A.), Rönnemaa, T. (Tapani), Hutri-Kähönen, N. (Nina), Laitinen, T. P. (Tomi P.), Tossavainen, P. (Päivi), Salomaa, V. (Veikko), Raitakari, O. T. (Olli T.), Burgner, D. P. (David P.), and Juonala, M. (Markus)
- Abstract
Purpose: To investigate whether exposure to systemic antibiotics influences the risk of developing type 2 diabetes and overweight/obesity. Methods: The study sample comprised 2209 (110 with incident diabetes) participants from the population-based Cardiovascular Risk in Young Finns Study (YFS) aged 24–39 years in 2001. The exposure was national linked register data on purchased antibiotic courses between 1993 and 2001. Clinical examinations including BMI were conducted in 2001, 2007 and 2011. Participants with prevalent diabetes in 2001 were excluded. Data on type 2 diabetes was also obtained from two national registers until 2017. Data from four population-based National FINRISK studies were used for replication (N = 24,674, 1866 with incident diabetes). Results: Prior antibiotic exposure (> 5 versus 0–1 antibiotic courses) was associated with subsequent type 2 diabetes in both YFS (OR 2.29; 95%CI 1.33–3.96) and FINRISK (HR 1.73; 95%CI 1.51–1.99). An increased risk for type 2 diabetes was observed in YFS (OR 1.043; 95%CI 1.013–1.074) and FINRISK (HR 1.022; 95%CI 1.016–1.029) per course. Exposure to antibiotics increased the risk of overweight/obesity (BMI > 25 kg/m²) after a 10-year follow-up in YFS (OR 1.043; 95%CI 1.019–1.068) and in FINRISK (OR 1.023; 95%CI 1.018–1.029) at baseline per antibiotic course. Adjustments for confounders from early life in YFS and at baseline in FINRISK, including BMI, socioeconomic status, smoking, insulin, blood pressure, and physical activity, did not appreciably alter the findings. Conclusion: Our results show that exposure to antibiotics was associated with increased risk for future type 2 diabetes and overweight/obesity and support judicious antibiotic prescribing.
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- 2022
27. DNA methylation signature of chronic low-grade inflammation and its role in cardio-respiratory diseases
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Wielscher, M. (Matthias), Mandaviya, P. R. (Pooja R.), Kuehnel, B. (Brigitte), Joehanes, R. (Roby), Mustafa, R. (Rima), Robinson, O. (Oliver), Zhang, Y. (Yan), Bodinier, B. (Barbara), Walton, E. (Esther), Mishra, P. P. (Pashupati P.), Schlosser, P. (Pascal), Wilson, R. (Rory), Tsai, P.-C. (Pei-Chien), Palaniswamy, S. (Saranya), Marioni, R. E. (Riccardo E.), Fiorito, G. (Giovanni), Cugliari, G. (Giovanni), Karhunen, V. (Ville), Ghanbari, M. (Mohsen), Psaty, B. M. (Bruce M.), Loh, M. (Marie), Bis, J. C. (Joshua C.), Lehne, B. (Benjamin), Sotoodehnia, N. (Nona), Deary, I. J. (Ian J.), Chadeau-Hyam, M. (Marc), Brody, J. A. (Jennifer A.), Cardona, A. (Alexia), Selvin, E. (Elizabeth), Smith, A. K. (Alicia K.), Miller, A. H. (Andrew H.), Torres, M. A. (Mylin A.), Marouli, E. (Eirini), Gao, X. (Xin), van Meurs, J. B. (Joyce B. J.), Graf-Schindler, J. (Johanna), Rathmann, W. (Wolfgang), Koenig, W. (Wolfgang), Peters, A. (Annette), Weninger, W. (Wolfgang), Farlik, M. (Matthias), Zhang, T. (Tao), Chen, W. (Wei), Xia, Y. (Yujing), Teumer, A. (Alexander), Nauck, M. (Matthias), Grabe, H. J. (Hans J.), Doerr, M. (Macus), Lehtimaki, T. (Terho), Guan, W. (Weihua), Milani, L. (Lili), Tanaka, T. (Toshiko), Fisher, K. (Krista), Waite, L. L. (Lindsay L.), Kasela, S. (Silva), Vineis, P. (Paolo), Verweij, N. (Niek), van der Harst, P. (Pim), Iacoviello, L. (Licia), Sacerdote, C. (Carlotta), Panico, S. (Salvatore), Krogh, V. (Vittorio), Tumino, R. (Rosario), Tzala, E. (Evangelia), Matullo, G. (Giuseppe), Hurme, M. A. (Mikko A.), Raitakari, O. T. (Olli T.), Colicino, E. (Elena), Baccarelli, A. A. (Andrea A.), Kahonen, M. (Mika), Herzig, K.-H. (Karl-Heinz), Li, S. (Shengxu), BIOS consortium, Conneely, K. N. (Karen N.), Kooner, J. S. (Jaspal S.), Kottgen, A. (Anna), Heijmans, B. T. (Bastiaan T.), Deloukas, P. (Panos), Relton, C. (Caroline), Ong, K. K. (Ken K.), Bell, J. T. (Jordana T.), Boerwinkle, E. (Eric), Elliott, P. (Paul), Brenner, H. (Hermann), Beekman, M. (Marian), Levy, D. (Daniel), Waldenberger, M. (Melanie), Chambers, J. C. (John C.), Dehghan, A. (Abbas), Järvelin, M.-R. (Marjo-Riitta), Wielscher, M. (Matthias), Mandaviya, P. R. (Pooja R.), Kuehnel, B. (Brigitte), Joehanes, R. (Roby), Mustafa, R. (Rima), Robinson, O. (Oliver), Zhang, Y. (Yan), Bodinier, B. (Barbara), Walton, E. (Esther), Mishra, P. P. (Pashupati P.), Schlosser, P. (Pascal), Wilson, R. (Rory), Tsai, P.-C. (Pei-Chien), Palaniswamy, S. (Saranya), Marioni, R. E. (Riccardo E.), Fiorito, G. (Giovanni), Cugliari, G. (Giovanni), Karhunen, V. (Ville), Ghanbari, M. (Mohsen), Psaty, B. M. (Bruce M.), Loh, M. (Marie), Bis, J. C. (Joshua C.), Lehne, B. (Benjamin), Sotoodehnia, N. (Nona), Deary, I. J. (Ian J.), Chadeau-Hyam, M. (Marc), Brody, J. A. (Jennifer A.), Cardona, A. (Alexia), Selvin, E. (Elizabeth), Smith, A. K. (Alicia K.), Miller, A. H. (Andrew H.), Torres, M. A. (Mylin A.), Marouli, E. (Eirini), Gao, X. (Xin), van Meurs, J. B. (Joyce B. J.), Graf-Schindler, J. (Johanna), Rathmann, W. (Wolfgang), Koenig, W. (Wolfgang), Peters, A. (Annette), Weninger, W. (Wolfgang), Farlik, M. (Matthias), Zhang, T. (Tao), Chen, W. (Wei), Xia, Y. (Yujing), Teumer, A. (Alexander), Nauck, M. (Matthias), Grabe, H. J. (Hans J.), Doerr, M. (Macus), Lehtimaki, T. (Terho), Guan, W. (Weihua), Milani, L. (Lili), Tanaka, T. (Toshiko), Fisher, K. (Krista), Waite, L. L. (Lindsay L.), Kasela, S. (Silva), Vineis, P. (Paolo), Verweij, N. (Niek), van der Harst, P. (Pim), Iacoviello, L. (Licia), Sacerdote, C. (Carlotta), Panico, S. (Salvatore), Krogh, V. (Vittorio), Tumino, R. (Rosario), Tzala, E. (Evangelia), Matullo, G. (Giuseppe), Hurme, M. A. (Mikko A.), Raitakari, O. T. (Olli T.), Colicino, E. (Elena), Baccarelli, A. A. (Andrea A.), Kahonen, M. (Mika), Herzig, K.-H. (Karl-Heinz), Li, S. (Shengxu), BIOS consortium, Conneely, K. N. (Karen N.), Kooner, J. S. (Jaspal S.), Kottgen, A. (Anna), Heijmans, B. T. (Bastiaan T.), Deloukas, P. (Panos), Relton, C. (Caroline), Ong, K. K. (Ken K.), Bell, J. T. (Jordana T.), Boerwinkle, E. (Eric), Elliott, P. (Paul), Brenner, H. (Hermann), Beekman, M. (Marian), Levy, D. (Daniel), Waldenberger, M. (Melanie), Chambers, J. C. (John C.), Dehghan, A. (Abbas), and Järvelin, M.-R. (Marjo-Riitta)
- Abstract
We performed a multi-ethnic Epigenome Wide Association study on 22,774 individuals to describe the DNA methylation signature of chronic low-grade inflammation as measured by C-Reactive protein (CRP). We find 1,511 independent differentially methylated loci associated with CRP. These CpG sites show correlation structures across chromosomes, and are primarily situated in euchromatin, depleted in CpG islands. These genomic loci are predominantly situated in transcription factor binding sites and genomic enhancer regions. Mendelian randomization analysis suggests altered CpG methylation is a consequence of increased blood CRP levels. Mediation analysis reveals obesity and smoking as important underlying driving factors for changed CpG methylation. Finally, we find that an activated CpG signature significantly increases the risk for cardiometabolic diseases and COPD.
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- 2022
28. Genome-wide analysis of 102,084 migraine cases identifies 123 risk loci and subtype-specific risk alleles
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Hautakangas, H. (Heidi), Winsvold, B. S. (Bendik S.), Ruotsalainen, S. E. (Sanni E.), Bjornsdottir, G. (Gyda), Harder, A. V. (Aster V. E.), Kogelman, L. J. (Lisette J. A.), Thomas, L. F. (Laurent F.), Noordam, R. (Raymond), Benner, C. (Christian), Gormley, P. (Padhraig), Artto, V. (Ville), Banasik, K. (Karina), Bjornsdottir, A. (Anna), Boomsma, D. I. (Dorret, I), Brumpton, B. M. (Ben M.), Burgdorf, K. S. (Kristoffer Solvsten), Buring, J. E. (Julie E.), Chalmer, M. A. (Mona Ameri), de Boer, I. (Irene), Dichgans, M. (Martin), Erikstrup, C. (Christian), Färkkilä, M. (Markus), Garbrielsen, M. E. (Maiken Elvestad), Ghanbari, M. (Mohsen), Hagen, K. (Knut), Häppölä, P. (Paavo), Hottenga, J.-J. (Jouke-Jan), Hrafnsdottir, M. G. (Maria G.), Hveem, K. (Kristian), Johnsen, M. B. (Marianne Bakke), Kähönen, M. (Mika), Kristoffersen, E. S. (Espen S.), Kurth, T. (Tobias), Lehtimäki, T. (Terho), Lighart, L. (Lannie), Magnusson, S. H. (Sigurdur H.), Malik, R. (Rainer), Pedersen, O. B. (Ole Birger), Pelzer, N. (Nadine), Penninx, B. W. (Brenda W. J. H.), Ran, C. (Caroline), Ridker, P. M. (Paul M.), Rosendaal, F. R. (Frits R.), Sigurdardottir, G. R. (Gudrun R.), Skogholt, A. H. (Anne Heidi), Sveinsson, O. A. (Olafur A.), Thorgeirsson, T. E. (Thorgeir E.), Ullum, H. (Henrik), Vijfhuizen, L. S. (Lisanne S.), Widen, E. (Elisabeth), van Dijk, K. W. (Ko Willems), International Headache Genetics Consortium, HUNT All-in Headache, Danish Blood Donor Study Genomic Cohort, Aromaa, A. (Arpo), Belin, A. C. (Andrea Carmine), Freilinger, T. (Tobias), Ikram, M. A. (M. Arfan), Järvelin, M.-R. (Marjo-Riitta), Raitakari, O. T. (Olli T.), Terwindt, G. M. (Gisela M.), Kallela, M. (Mikko), Wessman, M. (Maija), Olesen, J. (Jes), Chasman, D. I. (Daniel, I), Nyholt, D. R. (Dale R.), Stefansson, H. (Hreinn), Stefansson, K. (Kari), van den Maagdenberg, A. M. (Arn M. J. M.), Hansen, T. F. (Thomas Folkmann), Ripatti, S. (Samuli), Zwart, J.-A. (John-Anker), Palotie, A. (Aarno), Pirinen, M. (Matti), Hautakangas, H. (Heidi), Winsvold, B. S. (Bendik S.), Ruotsalainen, S. E. (Sanni E.), Bjornsdottir, G. (Gyda), Harder, A. V. (Aster V. E.), Kogelman, L. J. (Lisette J. A.), Thomas, L. F. (Laurent F.), Noordam, R. (Raymond), Benner, C. (Christian), Gormley, P. (Padhraig), Artto, V. (Ville), Banasik, K. (Karina), Bjornsdottir, A. (Anna), Boomsma, D. I. (Dorret, I), Brumpton, B. M. (Ben M.), Burgdorf, K. S. (Kristoffer Solvsten), Buring, J. E. (Julie E.), Chalmer, M. A. (Mona Ameri), de Boer, I. (Irene), Dichgans, M. (Martin), Erikstrup, C. (Christian), Färkkilä, M. (Markus), Garbrielsen, M. E. (Maiken Elvestad), Ghanbari, M. (Mohsen), Hagen, K. (Knut), Häppölä, P. (Paavo), Hottenga, J.-J. (Jouke-Jan), Hrafnsdottir, M. G. (Maria G.), Hveem, K. (Kristian), Johnsen, M. B. (Marianne Bakke), Kähönen, M. (Mika), Kristoffersen, E. S. (Espen S.), Kurth, T. (Tobias), Lehtimäki, T. (Terho), Lighart, L. (Lannie), Magnusson, S. H. (Sigurdur H.), Malik, R. (Rainer), Pedersen, O. B. (Ole Birger), Pelzer, N. (Nadine), Penninx, B. W. (Brenda W. J. H.), Ran, C. (Caroline), Ridker, P. M. (Paul M.), Rosendaal, F. R. (Frits R.), Sigurdardottir, G. R. (Gudrun R.), Skogholt, A. H. (Anne Heidi), Sveinsson, O. A. (Olafur A.), Thorgeirsson, T. E. (Thorgeir E.), Ullum, H. (Henrik), Vijfhuizen, L. S. (Lisanne S.), Widen, E. (Elisabeth), van Dijk, K. W. (Ko Willems), International Headache Genetics Consortium, HUNT All-in Headache, Danish Blood Donor Study Genomic Cohort, Aromaa, A. (Arpo), Belin, A. C. (Andrea Carmine), Freilinger, T. (Tobias), Ikram, M. A. (M. Arfan), Järvelin, M.-R. (Marjo-Riitta), Raitakari, O. T. (Olli T.), Terwindt, G. M. (Gisela M.), Kallela, M. (Mikko), Wessman, M. (Maija), Olesen, J. (Jes), Chasman, D. I. (Daniel, I), Nyholt, D. R. (Dale R.), Stefansson, H. (Hreinn), Stefansson, K. (Kari), van den Maagdenberg, A. M. (Arn M. J. M.), Hansen, T. F. (Thomas Folkmann), Ripatti, S. (Samuli), Zwart, J.-A. (John-Anker), Palotie, A. (Aarno), and Pirinen, M. (Matti)
- Abstract
Migraine affects over a billion individuals worldwide but its genetic underpinning remains largely unknown. Here, we performed a genome-wide association study of 102,084 migraine cases and 771,257 controls and identified 123 loci, of which 86 are previously unknown. These loci provide an opportunity to evaluate shared and distinct genetic components in the two main migraine subtypes: migraine with aura and migraine without aura. Stratification of the risk loci using 29,679 cases with subtype information indicated three risk variants that seem specific for migraine with aura (in HMOX2, CACNA1A and MPPED2), two that seem specific for migraine without aura (near SPINK2 and near FECH) and nine that increase susceptibility for migraine regardless of subtype. The new risk loci include genes encoding recent migraine-specific drug targets, namely calcitonin gene-related peptide (CALCA/CALCB) and serotonin 1F receptor (HTR1F). Overall, genomic annotations among migraine-associated variants were enriched in both vascular and central nervous system tissue/cell types, supporting unequivocally that neurovascular mechanisms underlie migraine pathophysiology.
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- 2022
29. The relationship between temperament, polygenic score for intelligence and cognition:a population-based study of middle-aged adults
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Tölli, P. (Pekka), Keltikangas-Järvinen, L. (Liisa), Lehtimäki, T. (Terho), Ravaja, N. (Niklas), Hintsanen, M. (Mirka), Ahola-Olli, A. (Ari), Pahkala, K. (Katja), Kähönen, M. (Mika), Hutri-Kähönen, N. (Nina), Laitinen, T. T. (Tomi T.), Tossavainen, P. (Päivi), Taittonen, L. (Leena), Dobewall, H. (Henrik), Jokinen, E. (Eero), Raitakari, O. (Olli), Cloninger, C. R. (C. Robert), Rovio, S. (Suvi), Saarinen, A. (Aino), Tölli, P. (Pekka), Keltikangas-Järvinen, L. (Liisa), Lehtimäki, T. (Terho), Ravaja, N. (Niklas), Hintsanen, M. (Mirka), Ahola-Olli, A. (Ari), Pahkala, K. (Katja), Kähönen, M. (Mika), Hutri-Kähönen, N. (Nina), Laitinen, T. T. (Tomi T.), Tossavainen, P. (Päivi), Taittonen, L. (Leena), Dobewall, H. (Henrik), Jokinen, E. (Eero), Raitakari, O. (Olli), Cloninger, C. R. (C. Robert), Rovio, S. (Suvi), and Saarinen, A. (Aino)
- Abstract
We investigated whether temperament modifies an association between polygenic intelligence potential and cognitive test performance in midlife. The participants (n = 1647, born between 1962 and 1977) were derived from the Young Finns Study. Temperament was assessed with Temperament and Character Inventory over a 15-year follow-up (1997, 2001, 2007, 2012). Polygenic intelligence potential was assessed with a polygenic score for intelligence. Cognitive performance (visual memory, reaction time, sustained attention, spatial working memory) was assessed with CANTAB in midlife. The PGSI was significantly associated with the overall cognitive performance and performance in visual memory, sustained attention and working memory tests but not reaction time test. Temperament did not correlate with polygenic score for intelligence and did not modify an association between the polygenic score and cognitive performance, either. High persistence was associated with higher visual memory (B = 0.092; FDR-adj. p = 0.007) and low harm avoidance with higher overall cognitive performance, specifically better reaction time (B = −0.102; FDR-adj; p = 0.007). The subscales of harm avoidance had different associations with cognitive performance: higher “anticipatory worry,” higher “fatigability,” and lower “shyness with strangers” were associated with lower cognitive performance, while the role of “fear of uncertainty” was subtest-related. In conclusion, temperament does not help or hinder one from realizing their genetic potential for intelligence. The overall modest relationships between temperament and cognitive performance advise caution if utilizing temperament-related information e.g. in working-life recruitments. Cognitive abilities may be influenced by temperament variables, such as the drive for achievement and anxiety about test performance, but they involve distinct systems of learning and memory.
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- 2022
30. Evolution of genetic networks for human creativity
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Zwir, I. (I.), Del-Val, C. (C.), Hintsanen, M. (Mirka), Cloninger, K. M. (K. M.), Romero-Zaliz, R. (R.), Mesa, A. (A.), Arnedo, J. (J.), Salas, R. (R.), Poblete, G. F. (G. F.), Raitoharju, E. (E.), Raitakari, O. (O.), Keltikangas-Järvinen, L. (L.), de Erausquin, G. A. (G. A.), Tattersall, I. (I.), Lehtimäki, T. (T.), Cloninger, C. R. (C. R.), Zwir, I. (I.), Del-Val, C. (C.), Hintsanen, M. (Mirka), Cloninger, K. M. (K. M.), Romero-Zaliz, R. (R.), Mesa, A. (A.), Arnedo, J. (J.), Salas, R. (R.), Poblete, G. F. (G. F.), Raitoharju, E. (E.), Raitakari, O. (O.), Keltikangas-Järvinen, L. (L.), de Erausquin, G. A. (G. A.), Tattersall, I. (I.), Lehtimäki, T. (T.), and Cloninger, C. R. (C. R.)
- Abstract
The genetic basis for the emergence of creativity in modern humans remains a mystery despite sequencing the genomes of chimpanzees and Neanderthals, our closest hominid relatives. Data-driven methods allowed us to uncover networks of genes distinguishing the three major systems of modern human personality and adaptability: emotional reactivity, self-control, and self-awareness. Now we have identified which of these genes are present in chimpanzees and Neanderthals. We replicated our findings in separate analyses of three high-coverage genomes of Neanderthals. We found that Neanderthals had nearly the same genes for emotional reactivity as chimpanzees, and they were intermediate between modern humans and chimpanzees in their numbers of genes for both self-control and self-awareness. 95% of the 267 genes we found only in modern humans were not protein-coding, including many long-non-coding RNAs in the self-awareness network. These genes may have arisen by positive selection for the characteristics of human well-being and behavioral modernity, including creativity, prosocial behavior, and healthy longevity. The genes that cluster in association with those found only in modern humans are over-expressed in brain regions involved in human self-awareness and creativity, including late-myelinating and phylogenetically recent regions of neocortex for autobiographical memory in frontal, parietal, and temporal regions, as well as related components of cortico-thalamo-ponto-cerebellar-cortical and cortico-striato-cortical loops. We conclude that modern humans have more than 200 unique non-protein-coding genes regulating co-expression of many more protein-coding genes in coordinated networks that underlie their capacities for self-awareness, creativity, prosocial behavior, and healthy longevity, which are not found in chimpanzees or Neanderthals.
- Published
- 2022
31. Genetic and observational evidence:no independent role for cholesterol efflux over static high-density lipoprotein concentration measures in coronary heart disease risk assessment
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Kuusisto, S. (Sanna), Karjalainen, M. K. (Minna K.), Tillin, T. (Therese), Kangas, A. J. (Antti J.), Holmes, M. V. (Michael V.), Kähönen, M. (Mika), Lehtimäki, T. (Terho), Viikari, J. (Jorma), Perola, M. (Markus), Chaturvedi, N. (Nishi), Salomaa, V. (Veikko), Raitakari, O. T. (Olli T.), Järvelin, M.-R. (Marjo-Riitta), Kettunen, J. (Johannes), Ala-Korpela, M. (Mika), Kuusisto, S. (Sanna), Karjalainen, M. K. (Minna K.), Tillin, T. (Therese), Kangas, A. J. (Antti J.), Holmes, M. V. (Michael V.), Kähönen, M. (Mika), Lehtimäki, T. (Terho), Viikari, J. (Jorma), Perola, M. (Markus), Chaturvedi, N. (Nishi), Salomaa, V. (Veikko), Raitakari, O. T. (Olli T.), Järvelin, M.-R. (Marjo-Riitta), Kettunen, J. (Johannes), and Ala-Korpela, M. (Mika)
- Abstract
Background: Observational findings for high-density lipoprotein (HDL)-mediated cholesterol efflux capacity (HDL-CEC) and coronary heart disease (CHD) appear inconsistent, and knowledge of the genetic architecture of HDL-CEC is limited. Objectives: A large-scale observational study on the associations of HDL-CEC and other HDL-related measures with CHD and the largest genome-wide association study (GWAS) of HDL-CEC. Participants/Methods: Six independent cohorts were included with follow-up data for 14,438 participants to investigate the associations of HDL-related measures with incident CHD (1,570 events). The GWAS of HDL-CEC was carried out in 20,372 participants. Results: HDL-CEC did not associate with CHD when adjusted for traditional risk factors and HDL cholesterol (HDL-C). In contradiction, almost all HDL-related concentration measures associated consistently with CHD after corresponding adjustments. There were no genetic loci associated with HDL-CEC independent of HDL-C and triglycerides. Conclusions: HDL-CEC is not unequivocally associated with CHD in contrast to HDL-C, apolipoprotein A-I, and most of the HDL subclass particle concentrations.
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- 2022
32. Circulating inflammatory cytokines and risk of five cancers: a Mendelian randomization analysis
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Bouras, E. (Emmanouil), Karhunen, V. (Ville), Gill, D. (Dipender), Huang, J. (Jian), Haycock, P. C. (Philip C.), Gunter, M. J. (Marc J.), Johansson, M. (Mattias), Brennan, P. (Paul), Key, T. (Tim), Lewis, S. J. (Sarah J.), Martin, R. M. (Richard M.), Murphy, N. (Neil), Platz, E. A. (Elizabeth A.), Travis, R. (Ruth), Yarmolinsky, J. (James), Zuber, V. (Verena), Martin, P. (Paul), Katsoulis, M. (Michail), Freisling, H. (Heinz), Nost, T. H. (Therese Haugdahl), Schulze, M. B. (Matthias B.), Dossus, L. (Laure), Hung, R. J. (Rayjean J.), Amos, C. I. (Christopher, I), Ahola-Olli, A. (Ari), Palaniswamy, S. (Saranya), Mannikko, M. (Minna), Auvinen, J. (Juha), Herzig, K.-H. (Karl-Heinz), Keinänen-Kiukaanniemi, S. (Sirkka), Lehtimäki, T. (Terho), Salomaa, V. (Veikko), Raitakari, O. (Olli), Salmi, M. (Marko), Jalkanen, S. (Sirpa), Järvelin, M.-R. (Marjo-Riitta), Dehghan, A. (Abbas), Tsilidis, K. K. (Konstantinos K.), Bouras, E. (Emmanouil), Karhunen, V. (Ville), Gill, D. (Dipender), Huang, J. (Jian), Haycock, P. C. (Philip C.), Gunter, M. J. (Marc J.), Johansson, M. (Mattias), Brennan, P. (Paul), Key, T. (Tim), Lewis, S. J. (Sarah J.), Martin, R. M. (Richard M.), Murphy, N. (Neil), Platz, E. A. (Elizabeth A.), Travis, R. (Ruth), Yarmolinsky, J. (James), Zuber, V. (Verena), Martin, P. (Paul), Katsoulis, M. (Michail), Freisling, H. (Heinz), Nost, T. H. (Therese Haugdahl), Schulze, M. B. (Matthias B.), Dossus, L. (Laure), Hung, R. J. (Rayjean J.), Amos, C. I. (Christopher, I), Ahola-Olli, A. (Ari), Palaniswamy, S. (Saranya), Mannikko, M. (Minna), Auvinen, J. (Juha), Herzig, K.-H. (Karl-Heinz), Keinänen-Kiukaanniemi, S. (Sirkka), Lehtimäki, T. (Terho), Salomaa, V. (Veikko), Raitakari, O. (Olli), Salmi, M. (Marko), Jalkanen, S. (Sirpa), Järvelin, M.-R. (Marjo-Riitta), Dehghan, A. (Abbas), and Tsilidis, K. K. (Konstantinos K.)
- Abstract
Background: Epidemiological and experimental evidence has linked chronic inflammation to cancer aetiology. It is unclear whether associations for specific inflammatory biomarkers are causal or due to bias. In order to examine whether altered genetically predicted concentration of circulating cytokines are associated with cancer development, we performed a two-sample Mendelian randomisation (MR) analysis. Methods: Up to 31,112 individuals of European descent were included in genome-wide association study (GWAS) meta-analyses of 47 circulating cytokines. Single nucleotide polymorphisms (SNPs) robustly associated with the cytokines, located in or close to their coding gene (cis), were used as instrumental variables. Inverse-variance weighted MR was used as the primary analysis, and the MR assumptions were evaluated in sensitivity and colocalization analyses and a false discovery rate (FDR) correction for multiple comparisons was applied. Corresponding germline GWAS summary data for five cancer outcomes (breast, endometrial, lung, ovarian, and prostate), and their subtypes were selected from the largest cancer-specific GWASs available (cases ranging from 12,906 for endometrial to 133,384 for breast cancer). Results: There was evidence of inverse associations of macrophage migration inhibitory factor with breast cancer (OR per SD = 0.88, 95% CI 0.83 to 0.94), interleukin-1 receptor antagonist with endometrial cancer (0.86, 0.80 to 0.93), interleukin-18 with lung cancer (0.87, 0.81 to 0.93), and beta-chemokine-RANTES with ovarian cancer (0.70, 0.57 to 0.85) and positive associations of monokine induced by gamma interferon with endometrial cancer (3.73, 1.86 to 7.47) and cutaneous T-cell attracting chemokine with lung cancer (1.51, 1.22 to 1.87). These associations were similar in sensitivity analyses and supported in colocalization analyses. Conclusions: Our study adds to current knowledge on the role of specific inflammatory biomarker pathways in cancer aetiolog
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- 2022
33. Glycoprotein acetyls:a novel inflammatory biomarker of early cardiovascular risk in the young
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Chiesa, S. T. (Scott T.), Charakida, M. (Marietta), Georgiopoulos, G. (Georgios), Roberts, J. D. (Justin D.), Stafford, S. J. (Simon J.), Park, C. (Chloe), Mykkänen, J. (Juha), Kähönen, M. (Mika), Lehtimäki, T. (Terho), Ala‐Korpela, M. (Mika), Raitakari, O. (Olli), Pietiäinen, M. (Milla), Pussinen, P. (Pirkko), Muthurangu, V. (Vivek), Hughes, A. D. (Alun D.), Sattar, N. (Naveed), Timpson, N. J. (Nicholas J.), Deanfield, J. E. (John E.), Chiesa, S. T. (Scott T.), Charakida, M. (Marietta), Georgiopoulos, G. (Georgios), Roberts, J. D. (Justin D.), Stafford, S. J. (Simon J.), Park, C. (Chloe), Mykkänen, J. (Juha), Kähönen, M. (Mika), Lehtimäki, T. (Terho), Ala‐Korpela, M. (Mika), Raitakari, O. (Olli), Pietiäinen, M. (Milla), Pussinen, P. (Pirkko), Muthurangu, V. (Vivek), Hughes, A. D. (Alun D.), Sattar, N. (Naveed), Timpson, N. J. (Nicholas J.), and Deanfield, J. E. (John E.)
- Abstract
Background: Low‐grade inflammation in the young may contribute to the early development of cardiovascular disease. We assessed whether circulating levels of glycoprotein acetyls (GlycA) were better able to predict the development of adverse cardiovascular disease risk profiles compared with the more commonly used biomarker high‐sensitivity CRP (C‐reactive protein). Methods: A total of 3306 adolescents and young adults from the Avon Longitudinal Study of Parents and Children (mean age, 15.4±0.3; n=1750) and Cardiovascular Risk in Young Finns Study (mean age, 32.1±5.0; n=1556) were included. Baseline associations between inflammatory biomarkers, body composition, cardiovascular risk factors, and subclinical measures of vascular dysfunction were assessed cross‐sectionally in both cohorts. Prospective risk of developing hypertension and metabolic syndrome during 9‐to‐10‐year follow‐up were also assessed as surrogate markers for future cardiovascular risk. GlycA showed greater within‐subject correlation over 9‐to‐10‐year follow‐up in both cohorts compared with CRP, particularly in the younger adolescent group (r=0.36 versus 0.07). In multivariable analyses, GlycA was found to associate with multiple lifestyle‐related cardiovascular disease risk factors, cardiometabolic risk factor burden, and vascular dysfunction (eg, mean difference in flow‐mediated dilation=−1.2 [−1.8, −0.7]% per z‐score increase). In contrast, CRP levels appeared predominantly driven by body mass index and showed little relationship to any measured cardiovascular risk factors or phenotypes. In both cohorts, only GlycA predicted future risk of both hypertension (risk ratio [RR], ≈1.1 per z‐score increase for both cohorts) and metabolic syndrome (RR, ≈1.2–1.3 per z‐score increase for both cohorts) in 9‐to‐10‐year follow‐up. Conclusions: Low‐grade inflammation captured by the novel biomarker GlycA is associated with adverse cardiovascular risk profiles from as early as adolescence and predicts f
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- 2022
34. Changes in BMI and physical activity from youth to adulthood distinguish normal-weight, metabolically obese adults from those who remain healthy
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Viitasalo, A., Pahkala, K., Lehtimäki, T., Viikari, J. S.A., Tammelin, T. H., Raitakari, O., Kilpeläinen, T. O., Viitasalo, A., Pahkala, K., Lehtimäki, T., Viikari, J. S.A., Tammelin, T. H., Raitakari, O., and Kilpeläinen, T. O.
- Abstract
Highlights: Adults with MONW have a lower BMI during youth until young adulthood, but higher BMI after this than adults with metabolically healthy normal weight. Adults with MONW have a greater decrease in physical activity from youth to adulthood than other adults. Healthy lifestyle is important in the prevention of metabolic disorders, particularly in individuals who are slim in childhood. Background: Individuals with metabolically obese normal-weight (MONW) have higher risk of cardiovascular events than those with obesity but a metabolically healthy status. Etiological factors leading to MONW are not well known. We hypothesized distinct trajectories of changes in BMI and physical activity may modify metabolic risk and distinguish individuals with MONW from those who remain healthy. Methods: We compared the mean levels of BMI and physical activity at eight time points (1980, 1983, 1986, 1989, 1992, 2001, 2007, 2011) between MONW and healthy normal-weight adults using linear mixed-model analysis. The analyses included 1180 participants of the Cardiovascular Risk in Young Finns study, a population-based study that represents six different age cohorts 3, 6, 9, 12, 15 and 18 years of age at baseline. Results: Individuals with adult MONW had significantly lower BMI in childhood and young adulthood, but their BMI increased more than in other adults after this age (p<0.001for interaction between time and MONW status). Physical activity decreased relatively more since youth in individuals with adult MONW (p<0.001). Conclusions: Relative leanness in youth and subsequent weight gain in young adulthood, and a gradual decrease in physical activity levels from youth to adulthood, predispose normal-weight individuals to metabolic impairments. The results highlight the importance of a healthy lifestyle in the prevention of metabolic disorders, particularly in individuals who are slim in childhood.
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- 2022
35. Neuropeptide Y polymorphism increases the risk for asthma in overweight subjects; protection from atherosclerosis in asthmatic subjects – The cardiovascular risk in young Finns study
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Jaakkola, U., Kakko, T., Juonala, M., Lehtimäki, T., Viikari, J., Jääskeläinen, A.E., Mononen, N., Kähönen, M., Koskinen, T., Keltikangas-Järvinen, L., Raitakari, O., and Kallio, J.
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- 2012
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36. Longitudinal investigation of adenovirus 36 seropositivity and human obesity: the Cardiovascular Risk in Young Finns Study
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Sabin, M A, Burgner, D, Atkinson, R L, Pei-Lun Lee, Z, Magnussen, C G, Cheung, M, Kähönen, M, Lehtimäki, T, Jokinen, E, Laitinen, T, Hutri-Kähönen, N, Viikari, J S A, Juonala, M, and Raitakari, O T
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- 2015
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37. Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption
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Cornelis, M C, Byrne, E M, Esko, T, Nalls, M A, Ganna, A, Paynter, N, Monda, K L, Amin, N, Fischer, K, Renstrom, F, Ngwa, J S, Huikari, V, Cavadino, A, Nolte, I M, Teumer, A, Yu, K, Marques-Vidal, P, Rawal, R, Manichaikul, A, Wojczynski, M K, Vink, J M, Zhao, J H, Burlutsky, G, Lahti, J, Mikkilä, V, Lemaitre, R N, Eriksson, J, Musani, S K, Tanaka, T, Geller, F, Luan, J, Hui, J, Mägi, R, Dimitriou, M, Garcia, M E, Ho, W-K, Wright, M J, Rose, L M, Magnusson, P K E, Pedersen, N L, Couper, D, Oostra, B A, Hofman, A, Ikram, M A, Tiemeier, H W, Uitterlinden, A G, van Rooij, F J A, Barroso, I, Johansson, I, Xue, L, Kaakinen, M, Milani, L, Power, C, Snieder, H, Stolk, R P, Baumeister, S E, Biffar, R, Gu, F, Bastardot, F, Kutalik, Z, Jacobs, Jr, D R, Forouhi, N G, Mihailov, E, Lind, L, Lindgren, C, Michaëlsson, K, Morris, A, Jensen, M, Khaw, K-T, Luben, R N, Wang, J J, Männistö, S, Perälä, M-M, Kähönen, M, Lehtimäki, T, Viikari, J, Mozaffarian, D, Mukamal, K, Psaty, B M, Döring, A, Heath, A C, Montgomery, G W, Dahmen, N, Carithers, T, Tucker, K L, Ferrucci, L, Boyd, H A, Melbye, M, Treur, J L, Mellström, D, Hottenga, J J, Prokopenko, I, Tönjes, A, Deloukas, P, Kanoni, S, Lorentzon, M, Houston, D K, Liu, Y, Danesh, J, Rasheed, A, Mason, M A, Zonderman, A B, Franke, L, Kristal, B S, Karjalainen, J, Reed, D R, Westra, H-J, Evans, M K, Saleheen, D, Harris, T B, Dedoussis, G, Curhan, G, Stumvoll, M, Beilby, J, Pasquale, L R, Feenstra, B, Bandinelli, S, Ordovas, J M, Chan, A T, Peters, U, Ohlsson, C, Gieger, C, Martin, N G, Waldenberger, M, Siscovick, D S, Raitakari, O, Eriksson, J G, Mitchell, P, Hunter, D J, Kraft, P, Rimm, E B, Boomsma, D I, Borecki, I B, Loos, R J F, Wareham, N J, Vollenweider, P, Caporaso, N, Grabe, H J, Neuhouser, M L, Wolffenbuttel, B H R, Hu, F B, Hyppönen, E, Järvelin, M-R, Cupples, L A, Franks, P W, Ridker, P M, van Duijn, C M, Heiss, G, Metspalu, A, North, K E, Ingelsson, E, Nettleton, J A, van Dam, R M, and Chasman, D I
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- 2015
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38. Sustained Involvement in Youth Sports Activities Predicts Reduced Chronic Job Strain in Early Midlife
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Yang, X., Telama, R., Hirvensalo, M., Hintsanen, M., Hintsa, T., Pulkki-Råback, L., Mansikkaniemi, K., Viikari, J. S. A., Keltikangas-Järvinen, L., and Raitakari, O. T.
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- 2010
39. Is the association between job strain and carotid intima-media thickness attributable to pre-employment environmental and dispositional factors? The Cardiovascular Risk in Young Finns Study
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Hintsa, T, Kivimäki, M, Elovainio, M, Vahtera, J, Hintsanen, M, Viikari, J S A, Raitakari, O T, and Keltikangas-Järvinen, L
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- 2008
40. Depressive Symptoms are Associated with Lower Bone Mineral Density in Young Adults with High Job Strain. The Cardiovascular Risk in Young Finns Study
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Oikonen, M., Hintsanen, M., Laaksonen, M., Mikkilä, V., Kähönen, M., Lehtimäki, T., Pulkki-Råback, L., Viikari, J. S. A., Keltikangas-Järvinen, L., and Raitakari, O. T.
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- 2014
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41. The trajectory of the blood DNA methylome ageing rate is largely set before adulthood: evidence from two longitudinal studies
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Kananen, L., Marttila, S., Nevalainen, T., Kummola, L., Junttila, I., Mononen, N., Kähönen, M., Raitakari, O. T., Hervonen, A., Jylhä, M., Lehtimäki, T., Hurme, M., and Jylhävä, J.
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- 2016
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42. Evolution of genetic networks for human creativity
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Zwir, I., Del-Val, C., Hintsanen, Mirka, Cloninger, K. M., Romero-Zaliz, R., Mesa, A., Arnedo, J., Salas, R., Poblete, G. F., Raitoharju, E., Raitakari, O., Keltikangas-Järvinen, L., de Erausquin, G. A., Tattersall, I., Lehtimäki, T., Cloninger, C. R., Tampere University, Department of Clinical Chemistry, Clinical Medicine, Medicum, and Department of Psychology and Logopedics
- Subjects
DIVERGENT-THINKING ,PERSONALITY ,515 Psychology ,3112 Neurosciences ,SEQUENCE ,MODERN HUMAN COLONIZATION ,3124 Neurology and psychiatry ,LIFE ,COVERAGE NEANDERTHAL GENOME ,ORIGINS ,MENTAL TIME-TRAVEL ,1182 Biochemistry, cell and molecular biology ,ARCHAEOLOGICAL PERSPECTIVES ,DEFAULT MODE - Abstract
The genetic basis for the emergence of creativity in modern humans remains a mystery despite sequencing the genomes of chimpanzees and Neanderthals, our closest hominid relatives. Data-driven methods allowed us to uncover networks of genes distinguishing the three major systems of modern human personality and adaptability: emotional reactivity, self-control, and self-awareness. Now we have identified which of these genes are present in chimpanzees and Neanderthals. We replicated our findings in separate analyses of three high-coverage genomes of Neanderthals. We found that Neanderthals had nearly the same genes for emotional reactivity as chimpanzees, and they were intermediate between modern humans and chimpanzees in their numbers of genes for both self-control and self-awareness. 95% of the 267 genes we found only in modern humans were not protein-coding, including many long-non-coding RNAs in the self-awareness network. These genes may have arisen by positive selection for the characteristics of human well-being and behavioral modernity, including creativity, prosocial behavior, and healthy longevity. The genes that cluster in association with those found only in modern humans are over-expressed in brain regions involved in human self-awareness and creativity, including late-myelinating and phylogenetically recent regions of neocortex for autobiographical memory in frontal, parietal, and temporal regions, as well as related components of cortico-thalamo-ponto-cerebellar-cortical and cortico-striato-cortical loops. We conclude that modern humans have more than 200 unique non-protein-coding genes regulating co-expression of many more protein-coding genes in coordinated networks that underlie their capacities for self-awareness, creativity, prosocial behavior, and healthy longevity, which are not found in chimpanzees or Neanderthals. publishedVersion
- Published
- 2021
43. Genome-wide association study of circulating interleukin 6 levels identifies novel loci
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Ahluwalia, T.S., Prins, B.P., Abdollahi, M., Armstrong, N.J., Aslibekyan, S., Bain, L., Jefferis, B., Baumert, J., Beekman, M., Ben-Shlomo, Y., Bis, J.C., Mitchell, B.D., Geus, E. de, Delgado, G.E., Marek, D., Eriksson, J., Kajantie, E., Kanoni, S., Kemp, J.P., Lu, C., Marioni, R.E., McLachlan, S., Milaneschi, Y., Nolte, I.M., Petrelis, A.M., Porcu, E., Sabater-Lleal, M., Naderi, E., Seppala, I., Shah, T., Singhal, G., Standl, M., Teumer, A., Thalamuthu, A., Thiering, E., Trompet, S., Ballantyne, C.M., Benjamin, E.J., Casas, J.P., Toben, C., Dedoussis, G., Deelen, J., Durda, P., Engmann, J., Feitosa, M.F., Grallert, H., Hammarstedt, A., Harris, S.E., Homuth, G., Hottenga, J.J., Jalkanen, S., Jamshidi, Y., Jawahar, M.C., Jess, T., Kivimaki, M., Kleber, M.E., Lahti, J., Liu, Y., Marques-Vidal, P., Mellstrom, D., Mooijaart, S.P., Muller-Nurasyid, M., Penninx, B., Revez, J.A., Rossing, P., Raikkonen, K., Sattar, N., Scharnagl, H., Sennblad, B., Silveira, A., St Pourcain, B., Timpson, N.J., Trollor, J., Dongen, J. van, Heemst, D. van, Visvikis-Siest, S., Vollenweider, P., Volker, U., Waldenberger, M., Willemsen, G., Zabaneh, D., Morris, R.W., Arnett, D.K., Baune, B.T., Boomsma, D.I., Chang, Y.P.C., Deary, I.J., Deloukas, P., Eriksson, J.G., Evans, D.M., Ferreira, M.A., Gaunt, T., Gudnason, V., Hamsten, A., Heinrich, J., Hingorani, A., Humphries, S.E., Jukema, J.W., Koenig, W., Kumari, M., Kutalik, Z., Lawlor, D.A., Lehtimaki, T., Marz, W., Mather, K.A., Naitza, S., Nauck, M., Ohlsson, C., Price, J.F., Raitakari, O., Rice, K., Sachdev, P.S., Slagboom, E., Sorensen, T.I.A., Spector, T., Stacey, D., Stathopoulou, M.G., Tanaka, T., Wannamethee, S.G., Whincup, P., Rotter, J.I., Dehghan, A., Boerwinkle, E., Psaty, B.M., Snieder, H., Alizadeh, B.Z., and CHARGE Inflammation Working Grp
- Abstract
Interleukin 6 (IL-6) is a multifunctional cytokine with both pro- and anti-inflammatory properties with a heritability estimate of up to 61%. The circulating levels of IL-6 in blood have been associated with an increased risk of complex disease pathogenesis. We conducted a two-staged, discovery and replication meta genome-wide association study (GWAS) of circulating serum IL-6 levels comprising up to 67428 (n(discovery)=52654 and n(replication)=14774) individuals of European ancestry. The inverse variance fixed effects based discovery meta-analysis, followed by replication led to the identification of two independent loci, IL1F10/IL1RN rs6734238 on chromosome (Chr) 2q14, (P-combined=1.8x10(-11)), HLA-DRB1/DRB5 rs660895 on Chr6p21 (P-combined=1.5x10(-10)) in the combined meta-analyses of all samples. We also replicated the IL6R rs4537545 locus on Chr1q21 (P-combined=1.2x10(-122)). Our study identifies novel loci for circulating IL-6 levels uncovering new immunological and inflammatory pathways that may influence IL-6 pathobiology.
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- 2021
44. Genome-Wide Association Study of Circulating Interleukin 6 Levels Identifies Novel Loci
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Ahluwalia, TS, Prins, BP, Abdollahi, M, Armstrong, NJ, Aslibekyan, S, Bain, L, Jefferis, B, Baumert, J, Beekman, M, Ben-Shlomo, Y, Bis, JC, Mitchell, BD, de Geus, E, Delgado, GE, Marek, D, Eriksson, J, Kajantie, E, Kanoni, S, Kemp, JP, Lu, C, Marioni, RE, McLachlan, S, Milaneschi, Y, Nolte, IM, Petrelis, AM, Porcu, E, Sabater-Lleal, M, Naderi, E, Seppälä, I, Shah, T, Singhal, G, Standl, M, Teumer, A, Thalamuthu, A, Thiering, E, Trompet, S, Ballantyne, CM, Benjamin, EJ, Casas, JP, Toben, C, Dedoussis, G, Deelen, J, Durda, P, Engmann, J, Feitosa, MF, Grallert, H, Hammarstedt, A, Harris, SE, Homuth, G, Hottenga, J-J, Jalkanen, S, Jamshidi, Y, Jawahar, MC, Jess, T, Kivimaki, M, Kleber, ME, Lahti, J, Liu, Y, Marques-Vidal, P, Mellström, D, Mooijaart, SP, Müller-Nurasyid, M, Penninx, B, Revez, JA, Rossing, P, Räikkönen, K, Sattar, N, Scharnagl, H, Sennblad, B, Silveira, A, Pourcain, BS, Timpson, NJ, Trollor, J, CHARGE Inflammation Working Group, van Dongen, J, Van Heemst, D, Visvikis-Siest, S, Vollenweider, P, Völker, U, Waldenberger, M, Willemsen, G, Zabaneh, D, Morris, RW, Arnett, DK, Baune, BT, Boomsma, DI, Chang, Y-PC, Deary, IJ, Deloukas, P, Eriksson, JG, Evans, DM, Ferreira, MA, Gaunt, T, Gudnason, V, Hamsten, A, Heinrich, J, Hingorani, A, Humphries, SE, Jukema, JW, Koeing, W, Kumari, M, Kutalik, Z, Lawlor, DA, Lehtimäki, T, März, W, Mather, K, Naitza, S, Nauck, M, Ohlsson, C, Price, JF, Raitakari, O, Rice, K, Sachdev, PS, Slagboom, E, Sørensen, TIA, Spector, T, Stacey, D, Stathopoulou, MG, Tanaka, T, Wannamethee, SG, Whincup, P, Rotter, JI, Dehghan, A, Boerwinkle, E, Psaty, BM, Snieder, H, and Alizadeh, BZ
- Abstract
Interleukin-6 (IL-6) is a multifunctional cytokine with both pro- and anti-inflammatory properties with a heritability estimate of up to 61%. The circulating levels of IL-6 in blood have been associated with an increased risk of complex disease pathogenesis. We conducted a two-staged, discovery, and replication meta genome-wide association study (GWAS) of circulating serum IL-6 levels comprising up to 67 428 (ndiscovery = 52 654 and nreplication = 14 774) individuals of European ancestry. The inverse variance fixed-effects based discovery meta-analysis, followed by replication led to the identification of two independent loci, IL1F10/IL1RN rs6734238 on Chromosome (Chr) 2q14, (pcombined = 1.8 × 10-11), HLA-DRB1/DRB5 rs660895 on Chr6p21 (pcombined = 1.5 × 10-10) in the combined meta-analyses of all samples. We also replicated the IL6R rs4537545 locus on Chr1q21 (pcombined = 1.2 × 10-122). Our study identifies novel loci for circulating IL-6 levels uncovering new immunological and inflammatory pathways that may influence IL-6 pathobiology.
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- 2021
45. Risky emotional family environment in childhood and depression-related cytokines in adulthood:the protective role of compassion
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Saarinen, A. (Aino), Keltikangas-Järvinen, L. (Liisa), Dobewall, H. (Henrik), Ahola-Olli, A. (Ari), Salmi, M. (Marko), Lehtimäki, T. (Terho), Raitakari, O. (Olli), Jalkanen, S. (Sirpa), and Hintsanen, M. (Mirka)
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inflammation ,personality ,family environment ,childhood environment ,emotional environment ,cytokines - Abstract
Background: Previously, compassion has been found to protect against depressive symptoms, while emotional adversities in childhood are suggested to increase inflammatory responses. The current study investigated (a) whether emotional family environment in childhood predicts levels of such cytokines in adulthood that are previously found to be elevated in depression (interleukin [IL]-2, IL-6, IL-1b, monocyte chemoattractant protein-1, interferon-gamma [IFN-γ], and tumor necrosis factor alpha [TNF-α]) and (b) whether these associations are modified by compassion in adulthood. Methods: The participants (N = 1,198–1,523) came from the prospective population-based Young Finns data. Emotional family environment and parental socioeconomic factors were evaluated in 1980; participants’ compassion in 2001; and participants’ cytokine levels and adulthood covariates in 2007. Results: Risky emotional family environment in childhood predicted higher levels of IL-2, IL-6, IFN-γ, and TNF-α in adulthood. Additionally, there were significant interaction effects between compassion and emotional risk in childhood, when predicting IL-2, IL-6, and TNF-α. Specifically, individuals who grew up in a risky emotional family environment had on average higher levels of IL-2, IL-6, and TNF-α in adulthood when combined with low compassion. Conclusions: In individuals coming from risky emotional family environments, high compassion for others may protect against elevated levels of cytokines previously linked with depression.
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- 2021
46. Determining the timing of pubertal onset via a multicohort analysis of growth
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Syrjälä, E. (Essi), Niinikoski, H. (Harri), Virtanen, H. E. (Helena E.), Ilonen, J. (Jorma), Knip, M. (Mikael), Hutri-Kähönen, N. (Nina), Pahkala, K. (Katja), Raitakari, O. T. (Olli T.), Rodprasert, W. (Wiwat), Toppari, J. (Jorma), Virtanen, S. M. (Suvi M.), Veijola, R. (Riitta), Peltonen, J. (Jaakko), Nevalainen, J. (Jaakko), Tampere University, Health Sciences, Department of Paediatrics, Clinical Medicine, Pediatrics, Computing Sciences, HUS Children and Adolescents, Doctoral Programme in Clinical Research, Children's Hospital, and CAMM - Research Program for Clinical and Molecular Metabolism
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Male ,Physiology ,Growth ,Adolescents ,Cohort Studies ,Families ,Endocrinology ,Medical Conditions ,Risk Factors ,3123 Gynaecology and paediatrics ,Medicine and Health Sciences ,Breast ,Age of Onset ,Child ,Children ,112 Statistics and probability ,Finland ,Biological Phenomena ,Men ,3142 Public health care science, environmental and occupational health ,Physiological Parameters ,Research Design ,Medicine ,Female ,Infants ,Research Article ,Childhood Obesity ,Adolescent ,Endocrine Disorders ,Science ,Research and Analysis Methods ,Diabetes Mellitus ,Humans ,Women ,Genitalia ,Obesity ,Endocrine Physiology ,Puberty ,Body Weight ,Biology and Life Sciences ,Models, Theoretical ,Overweight ,Body Height ,3141 Health care science ,Age Groups ,Metabolic Disorders ,People and Places ,Population Groupings ,Forecasting - Abstract
Objective Growth-based determination of pubertal onset timing would be cheap and practical. We aimed to determine this timing based on pubertal growth markers. Secondary aims were to estimate the differences in growth between cohorts and identify the role of overweight in onset timing. Design This multicohort study includes data from three Finnish cohorts—the Type 1 Diabetes Prediction and Prevention (DIPP, N = 2,825) Study, the Special Turku Coronary Risk Factor Intervention Project (STRIP, N = 711), and the Boy cohort (N = 66). Children were monitored for growth and Tanner staging (except in DIPP). Methods The growth data were analyzed using a Super-Imposition by Translation And Rotation growth curve model, and pubertal onset analyses were run using a time-to-pubertal onset model. Results The time-to-pubertal onset model used age at peak height velocity (aPHV), peak height velocity (PHV), and overweight status as covariates, with interaction between aPHV and overweight status for girls, and succeeded in determining the onset timing. Cross-validation showed a good agreement (71.0% for girls, 77.0% for boys) between the observed and predicted onset timings. Children in STRIP were taller overall (girls: 1.7 [95% CI: 0.9, 2.5] cm, boys: 1.0 [0.3, 2.2] cm) and had higher PHV values (girls: 0.13 [0.02, 0.25] cm/year, boys: 0.35 [0.21, 0.49] cm/year) than those in DIPP. Boys in the Boy cohort were taller (2.3 [0.3, 4.2] cm) compared with DIPP. Overweight girls showed pubertal onset at 1.0 [0.7, 1.4] year earlier compared with other girls. In boys, there was no such difference. Conclusions The novel modeling approach provides an opportunity to evaluate the Tanner breast/genital stage–based pubertal onset timing in cohort studies including longitudinal data on growth but lacking pubertal follow-up.
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- 2021
47. Metabolic profiling of angiopoietin-like protein 3 and 4 inhibition:a drug-target Mendelian randomization analysis
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Wang, Q. (Qin), Oliver-Williams, C. (Clare), Raitakari, O. T. (Olli T.), Viikari, J. (Jorma), Lehtimäki, T. (Terho), Kähönen, M. (Mika), Järvelin, M.-R. (Marjo-Riitta), Salomaa, V. (Veikko), Perola, M. (Markus), Danesh, J. (John), Kettunen, J. (Johannes), Butterworth, A. S. (Adam S.), Holmes, M. V. (Michael V.), and Ala-Korpela, M. (Mika)
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Lipoprotein subclasses ,ANGPTL4 ,ANGPTL3 ,Drug targets ,Glycoprotein acetyls ,Mendelian randomization ,Amino acids ,lipids (amino acids, peptides, and proteins) ,Lipoprotein lipids ,LPL - Abstract
Aims: Angiopoietin-like protein 3 (ANGPTL3) and 4 (ANGPTL4) inhibit lipoprotein lipase (LPL) and represent emerging drug targets to lower circulating triglycerides and reduce cardiovascular risk. To investigate the molecular effects of genetic mimicry of ANGPTL3 and ANGPTL4 inhibition and compare them to the effects of genetic mimicry of LPL enhancement. Methods and results: Associations of genetic variants in ANGPTL3 (rs11207977-T), ANGPTL4 (rs116843064-A), and LPL (rs115849089-A) with an extensive serum lipid and metabolite profile (208 measures) were characterized in six cohorts of up to 61 240 participants. Genetic associations with anthropometric measures, glucose-insulin metabolism, blood pressure, markers of kidney function, and cardiometabolic endpoints via genome-wide summary data were also explored. ANGPTL4 rs116843064-A and LPL rs115849089-A displayed a strikingly similar pattern of associations across the lipoprotein and lipid measures. However, the corresponding associations with ANGPTL3 rs11207977-T differed, including those for low-density lipoprotein and high-density lipoprotein particle concentrations and compositions. All three genotypes associated with lower concentrations of an inflammatory biomarker glycoprotein acetyls and genetic mimicry of ANGPTL3 inhibition and LPL enhancement were also associated with lower C-reactive protein. Genetic mimicry of ANGPTL4 inhibition and LPL enhancement were associated with a lower waist-to-hip ratio, improved insulin-glucose metabolism, and lower risk of coronary heart disease and type 2 diabetes, whilst genetic mimicry of ANGPTL3 was associated with improved kidney function. Conclusions: Genetic mimicry of ANGPTL4 inhibition and LPL enhancement have very similar systemic metabolic effects, whereas genetic mimicry of ANGPTL3 inhibition showed differing metabolic effects, suggesting potential involvement of pathways independent of LPL. Genetic mimicry of ANGPTL4 inhibition and LPL enhancement were associated with a lower risk of coronary heart disease and type 2 diabetes. These findings reinforce evidence that enhancing LPL activity (either directly or via upstream effects) through pharmacological approaches is likely to yield benefits to human health.
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- 2021
48. Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression
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Vosa, U. (Urmo), Claringbould, A. (Annique), Westra, H.-J. (Harm-Jan), Bonder, M. J. (Marc Jan), Deelen, P. (Patrick), Zeng, B. (Biao), Kirsten, H. (Holger), Saha, A. (Ashis), Kreuzhuber, R. (Roman), Yazar, S. (Seyhan), Brugge, H. (Harm), Oelen, R. (Roy), de Vries, D. H. (Dylan H.), van der Wijst, M. G. (Monique G. P.), Kasela, S. (Silva), Pervjakova, N. (Natalia), Alves, I. (Isabel), Fave, M.-J. (Marie-Julie), Agbessi, M. (Mawusse), Christiansen, M. W. (Mark W.), Jansen, R. (Rick), Seppala, I. (Ilkka), Tong, L. (Lin), Teumer, A. (Alexander), Schramm, K. (Katharina), Hemani, G. (Gibran), Verlouw, J. (Joost), Yaghootkar, H. (Hanieh), Flitman, R. S. (Reyhan Sonmez), Brown, A. (Andrew), Kukushkina, V. (Viktorija), Kalnapenkis, A. (Anette), Rueger, S. (Sina), Porcu, E. (Eleonora), Kronberg, J. (Jaanika), Kettunen, J. (Johannes), Lee, B. (Bernett), Zhang, F. (Futao), Qi, T. (Ting), Hernandez, J. A. (Jose Alquicira), Arindrarto, W. (Wibowo), Beutner, F. (Frank), Dmitrieva, J. (Julia), Elansary, M. (Mahmoud), Fairfax, B. P. (Benjamin P.), Georges, M. (Michel), Heijmans, B. T. (Bastiaan T.), Hewitt, A. W. (Alex W.), Kahonen, M. (Mika), Kim, Y. (Yungil), Knight, J. C. (Julian C.), Kovacs, P. (Peter), Krohn, K. (Knut), Li, S. (Shuang), Loeffler, M. (Markus), Marigorta, U. M. (Urko M.), Mei, H. (Hailang), Momozawa, Y. (Yukihide), Mueller-Nurasyid, M. (Martina), Nauck, M. (Matthias), Nivard, M. G. (Michel G.), Penninx, B. W. (Brenda W. J. H.), Pritchard, J. K. (Jonathan K.), Raitakari, O. T. (Olli T.), Rotzschke, O. (Olaf), Slagboom, E. P. (Eline P.), Stehouwer, C. D. (Coen D. A.), Stumvoll, M. (Michael), Sullivan, P. (Patrick), Thiery, J. (Joachim), Tonjes, A. (Anke), van Dongen, J. (Jenny), van Iterson, M. (Maarten), Veldink, J. H. (Jan H.), Voelker, U. (Uwe), Warmerdam, R. (Robert), Wijmenga, C. (Cisca), Swertz, M. (Morris), Andiappan, A. (Anand), Montgomery, G. W. (Grant W.), Ripatti, S. (Samuli), Perola, M. (Markus), Kutalik, Z. (Zoltan), Dermitzakis, E. (Emmanouil), Bergmann, S. (Sven), Frayling, T. (Timothy), van Meurs, J. (Joyce), Prokisch, H. (Holger), Ahsan, H. (Habibul), Pierce, B. L. (Brandon L.), Lehtimaki, T. (Terho), Boomsma, D. I. (Dorret, I), Psaty, B. M. (Bruce M.), Gharib, S. A. (Sina A.), Awadalla, P. (Philip), Milani, L. (Lili), Ouwehand, W. H. (Willem H.), Downes, K. (Kate), Stegle, O. (Oliver), Battle, A. (Alexis), Visscher, P. M. (Peter M.), Yang, J. (Jian), Scholz, M. (Markus), Powell, J. (Joseph), Gibson, G. (Greg), Esko, T. (Tonu), and Franke, L. (Lude)
- Abstract
Trait-associated genetic variants affect complex phenotypes primarily via regulatory mechanisms on the transcriptome. To investigate the genetics of gene expression, we performed cis- and trans-expression quantitative trait locus (eQTL) analyses using blood-derived expression from 31,684 individuals through the eQTLGen Consortium. We detected cis-eQTL for 88% of genes, and these were replicable in numerous tissues. Distal trans-eQTL (detected for 37% of 10,317 trait-associated variants tested) showed lower replication rates, partially due to low replication power and confounding by cell type composition. However, replication analyses in single-cell RNA-seq data prioritized intracellular trans-eQTL. Trans-eQTL exerted their effects via several mechanisms, primarily through regulation by transcription factors. Expression of 13% of the genes correlated with polygenic scores for 1,263 phenotypes, pinpointing potential drivers for those traits. In summary, this work represents a large eQTL resource, and its results serve as a starting point for in-depth interpretation of complex phenotypes.
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- 2021
49. Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants
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Zhou, B, Carrillo-Larco, Rm, Danaei, G, Riley, Lm, Paciorek, Cj, Stevens, Ga, Gregg, Ew, Bennett, Je, Solomon, B, Singleton, Rk, Sophiea, Mk, Iurilli, Mlc, Lhoste, Vpf, Cowan, Mj, Savin, S, Woodward, M, Balanova, Y, Cifkova, R, Damasceno, A, Elliott, P, Farzadfar, F, He, J, Ikeda, N, Kengne, Ap, Khang, Yh, Kim, Hc, Laxmaiah, A, Lin, Hh, Maira, Pm, Miranda, Jj, Neuhauser, H, Sundstrom, J, Varghese, C, Widyahening, Is, Zdrojewski, T, Ezzati, M, Abarca-Gomez, L, Abdeen, Za, Rahim, Hfa, Abu-Rmeileh, Nm, Acosta-Cazares, B, Adams, Rj, Aekplakorn, W, Afsana, K, Afzal, S, Agdeppa, Ia, Aghazadeh-Attari, J, Aguilar-Salinas, Ca, Agyemang, C, Ahmad, Na, Ahmadi, A, Ahmadi, N, Ahmadizar, F, Ahmed, Sh, Ahrens, W, Ajlouni, K, Al-Raddadi, R, Alarouj, M, Albuhairan, F, Aldhukair, S, Ali, Mm, Alkandari, A, Alkerwi, A, Allin, K, Aly, E, Amarapurkar, Dn, Amougou, N, Amouyel, P, Andersen, Lb, Anderssen, Sa, Anjana, Rm, Ansari-Moghaddam, A, Ansong, D, Aounallah-Skhiri, H, Araujo, J, Ariansen, I, Aris, T, Arku, Re, Arlappa, N, Aryal, Kk, Aspelund, T, Assah, Fk, Assuncao, Mcf, Auvinen, J, Avdicova, M, Azevedo, A, Azimi-Nezhad, M, Azizi, F, Azmin, M, Babu, Bv, Bahijri, S, Balakrishna, N, Bamoshmoosh, M, Banach, M, Banadinovic, M, Bandosz, P, Banegas, Jr, Baran, J, Barbagallo, Cm, Barcelo, A, Barkat, A, Barreto, M, Barros, Ajd, Barros, Mvg, Bartosiewicz, A, Basit, A, Bastos, Jld, Bata, I, Batieha, Am, Batyrbek, A, Baur, La, Beaglehole, R, Belavendra, A, Ben Romdhane, H, Benet, M, Benson, Ls, Berkinbayev, S, Bernabe-Ortiz, A, Bettiol, H, Bezerra, J, Bhagyalaxmi, A, Bhargava, Sk, Bia, D, Biasch, K, Lele, Ecb, Bikbov, Mm, Bista, B, Bjerregaard, P, Bjertness, E, Bjertness, Mb, Bjorkelund, C, Bloch, Kv, Blokstra, A, Bo, S, Bobak, M, Boeing, H, Boggia, Jg, Boissonnet, Cp, Bojesen, Se, Bongard, V, Bonilla-Vargas, A, Bopp, M, Borghs, H, Bovet, P, Boyer, Cb, Braeckman, L, Brajkovich, I, Branca, F, Breckenkamp, J, Brenner, H, Brewster, Lm, Briceno, Y, Brito, M, Bruno, G, Bueno-de-Mesquita, Hb, Bueno, G, Bugge, A, Burns, C, Bursztyn, M, de Leon, Ac, Cacciottolo, J, Cameron, C, Can, G, Candido, Apc, Capanzana, Mv, Capkova, N, Capuano, E, Capuano, V, Cardoso, Vc, Carlsson, Ac, Carvalho, J, Casanueva, Ff, Censi, L, Cervantes-Loaiza, M, Chadjigeorgiou, Ca, Chamukuttan, S, Chan, Aw, Chan, Q, Chaturvedi, Hk, Chaturvedi, N, Chee, Ml, Chen, Cj, Chen, Ff, Chen, Hs, Chen, Sh, Chen, Zm, Cheng, Cy, Cheraghian, B, Dekkaki, Ic, Chetrit, A, Chien, Kl, Chiolero, A, Chiou, St, Chirita-Emandi, A, Chirlaque, Md, Cho, B, Christensen, K, Christofaro, Dg, Chudek, J, Cinteza, E, Claessens, F, Clarke, J, Clays, E, Cohen, E, Concin, H, Cooper, C, Coppinger, Tc, Costanzo, S, Cottel, D, Cowell, C, Craig, Cl, Crampin, Ac, Crujeiras, Ab, Cruz, Jj, Csilla, S, Cui, Lf, Cureau, Fv, Cuschieri, S, D'Arrigo, G, D'Orsi, E, Dallongeville, J, Dankner, R, Dantoft, Tm, Dauchet, L, Davletov, K, De Backer, G, De Bacquer, D, De Curtis, A, de Gaetano, G, De Henauw, S, de Oliveira, Pd, De Ridder, D, De Smedt, D, Deepa, M, Deev, Ad, Degennaro, V, Delisle, H, Demarest, S, Dennison, E, Deschamps, V, Dhimal, M, Di Castelnuovo, Af, Dias-da-Costa, Js, Diaz, A, Dickerson, Tt, Dika, Z, Djalalinia, S, Htp, Do, Dobson, Aj, Donfrancesco, C, Donoso, Sp, Doring, A, Dorobantu, M, Dorr, M, Doua, K, Dragano, N, Drygas, W, Duante, Ca, Duboz, P, Duda, Rb, Dulskiene, V, Dushpanova, A, Dzakula, A, Dzerve, V, Dziankowska-Zaborszczyk, E, Eddie, R, Eftekhar, E, Eggertsen, R, Eghtesad, S, Eiben, G, Ekelund, U, El-Khateeb, M, El Ati, J, Eldemire-Shearer, D, Eliasen, M, Elosua, R, Erasmus, Rt, Erbel, R, Erem, C, Eriksen, L, Eriksson, Jg, Escobedo-de la Pena, J, Eslami, S, Esmaeili, A, Evans, A, Faeh, D, Fakhretdinova, Aa, Fall, Ch, Faramarzi, E, Farjam, M, Fattahi, Mr, Fawwad, A, Felix-Redondo, Fj, Felix, Sb, Ferguson, Ts, Fernandes, Ra, Fernandez-Berges, D, Ferrante, D, Ferrao, T, Ferrari, M, Ferrario, Mm, Ferreccio, C, Ferreira, Hs, Ferrer, E, Ferrieres, J, Figueiro, Th, Fink, G, Fischer, K, Foo, Lh, Forsner, M, Fouad, Hm, Francis, Dk, Grego, Franco, Frikke-Schmidt, R, Frontera, G, Fuchs, Fd, Fuchs, Sc, Fujita, Y, Fumihiko, M, Furdela, V, Furer, A, Furusawa, T, Gaciong, Z, Galbarczyk, A, Galenkamp, H, Galvano, F, Gao, Jl, Gao, P, Garcia-de-la-Hera, M, Garcia, P, Gareta, D, Garnett, Sp, Gaspoz, Jm, Gasull, M, Gazzinelli, A, Gehring, U, Geleijnse, Jm, George, R, Ghanbari, A, Ghasemi, E, Gheorghe-Fronea, Of, Ghimire, A, Gialluisi, A, Giampaoli, S, Gieger, C, Gill, Tk, Giovannelli, J, Gironella, G, Giwercman, A, Gkiouras, K, Goldberg, M, Goldsmith, Ra, Gomez, Lf, Gomula, A, da Silva, Bgc, Goncalves, H, Goncalves, M, Gonzalez-Chica, Da, Gonzalez-Gross, M, Gonzalez-Rivas, Jp, Gonzalez-Villalpando, C, Gonzalez-Villalpando, Me, Gonzalez, Ar, Gorbea, Mb, Gottrand, F, Graff-Iversen, S, Grafnetter, D, Grajda, A, Grammatikopoulou, Mg, Gregor, Rd, Grodzicki, T, Grosso, G, Gruden, G, Df, Gu, Guan, Op, Gudmundsson, Ef, Gudnason, V, Guerrero, R, Guessous, I, Guimaraes, Al, Gulliford, Mc, Gunnlaugsdottir, J, Gunter, Mj, Gupta, Pc, Gupta, R, Gureje, O, Gurzkowska, B, Gutierrez, L, Gutzwiller, F, Ha, S, Hadaegh, F, Haghshenas, R, Hakimi, H, Halkjaer, J, Hambleton, Ir, Hamzeh, B, Hange, D, Hanif, Aam, Hantunen, S, Hao, J, Hardman, Cm, Kumar, Rh, Hashemi-Shahri, Sm, Hata, J, Haugsgjerd, T, Hayes, Aj, Yn, He, Heier, M, Hendriks, Me, Henrique, Rd, Henriques, A, Cadena, Lh, Herrala, S, Heshmat, R, Hill, Ag, Sy, Ho, Sc, Ho, Hobbs, M, Holdsworth, M, Homayounfar, R, Dinc, Gh, Horimoto, Arvr, Hormiga, Cm, Horta, Bl, Houti, L, Howitt, C, Htay, Tt, Htet, As, Htike, Mmt, Yh, Hu, Huerta, Jm, Huhtaniemi, It, Huiart, L, Huisman, M, Husseini, As, Huybrechts, I, Hwalla, N, Iacoviello, L, Iannone, Ag, Ibrahim, Mm, Wong, Ni, Ikram, Ma, Iotova, V, Irazola, Ve, Ishida, T, Isiguzo, Gc, Islam, M, Islam, Sms, Iwasaki, M, Jackson, Rt, Jacobs, Jm, Jaddou, Hy, Jafar, T, James, K, Jamrozik, K, Janszky, I, Janus, E, Jarvelin, Mr, Jasienska, G, Jelakovic, A, Jelakovic, B, Jennings, G, Jha, Ak, Jiang, Cq, Jimenez, Ro, Jockel, Kh, Joffres, M, Johansson, M, Jokelainen, Jj, Jonas, Jb, Jorgensen, T, Joshi, P, Joukar, F, Jozwiak, J, Juolevi, A, Jurak, G, Juresa, V, Kaaks, R, Kafatos, A, Kajantie, Eo, Kalmatayeva, Z, Kalpourtzi, N, Kalter-Leibovici, O, Kampmann, Fb, Kannan, S, Karaglani, E, Karhus, Ll, Karki, Kb, Katibeh, M, Katz, J, Kauhanen, J, Kaur, P, Kavousi, M, Kazakbaeva, Gm, Keil, U, Boker, Lk, Keinanen-Kiukaanniemi, S, Kelishadi, R, Kemper, Hcg, Keramati, M, Kerimkulova, A, Kersting, M, Key, T, Khader, Ys, Khalili, D, Khaw, Kt, Kheiri, B, Kheradmand, M, Khosravi, A, Kiechl-Kohlendorfer, U, Kiechl, S, Killewo, J, Kim, Dw, Kim, J, Klakk, H, Klimek, M, Klumbiene, J, Knoflach, M, Kolle, E, Kolsteren, P, Kontto, Jp, Korpelainen, R, Korrovits, P, Kos, J, Koskinen, S, Kouda, K, Kowlessur, S, Koziel, S, Kratenova, J, Kriaucioniene, V, Kristensen, Pl, Krokstad, S, Kromhout, D, Kruger, Hs, Kubinova, R, Kuciene, R, Kujala, Um, Kulaga, Z, Kumar, Rk, Kurjata, P, Kusuma, Ys, Kutsenko, V, Kuulasmaa, K, Kyobutungi, C, 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Hernandez, Univ Lorraine, North Karelia Ctr Publ Hlth, Univ Witwatersrand, Inst Med Res, Capital Med Univ, Xinjiang Med Univ, Shanghai Educ Dev Co Ltd, Orebro Univ, St Georges Univ London, Med Univ Vienna, Komfo Anokye Teaching Hosp, Minist Agr & Rural Affairs, Fudan Univ, Shanghai Educ Dev, Univ Cyprus, Niigata Univ, Iran Univ Med Sci, Ctr Estudios Nutr Infantil, Jiangsu Prov Ctr Dis Control & Prevent, Sun Yat Sen Univ, West Kazakhstan Med Univ, Inner Mongolia Med Univ, Éco-Anthropologie (EAE), Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS), Universitas Indonesia (UI ), Montpellier Interdisciplinary center on Sustainable Agri-food systems (Social and nutritional sciences) (UMR MoISA), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Interactions Gène-Environnement en Physiopathologie Cardio-Vasculaire (IGE-PCV), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Clinicum, Research Programs Unit, Johan Eriksson / Principal Investigator, Department of General Practice and Primary Health Care, University of Helsinki, HUS Helsinki and Uusimaa Hospital District, Department of Public Health, Tampere University, Clinical Medicine, Department of Clinical Chemistry, Eye Centre, Wellcome Trust, Epidemiology, Radiology & Nuclear Medicine, Éco-Anthropologie (EA), Cohortes épidémiologiques en population (CONSTANCES), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Université Paris Cité (UPCité), Université Paris Cité (UPCité), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Epidemiology and Data Science, APH - Aging & Later Life, APH - Societal Participation & Health, Public and occupational health, APH - Health Behaviors & Chronic Diseases, VU University medical center, APH - Personalized Medicine, Psychiatry, APH - Mental Health, Bin Zhou, Rodrigo M Carrillo-Larco, Goodarz Danaei, Leanne M Riley, Christopher J Paciorek, Gretchen A Stevens, Edward W Gregg, James E Bennett, Bethlehem Solomon, Rosie K Singleton, Marisa K Sophiea, Maria Lc Iurilli, Victor Pf Lhoste, Melanie J Cowan, Stefan Savin, Mark Woodward, Yulia Balanova, Renata Cifkova, Albertino Damasceno, Paul Elliott, Farshad Farzadfar, Jiang He, Nayu Ikeda, Andre P Kengne, Young-Ho Khang, Hyeon Chang Kim, Avula Laxmaiah, Hsien-Ho Lin, Paula Margozzini Maira, J Jaime Miranda, Hannelore Neuhauser, Johan Sundström, Cherian Varghese, Indah S Widyahening, Tomasz Zdrojewski, Leandra Abarca-Gómez, Ziad A Abdeen, Hanan F Abdul Rahim, Niveen M Abu-Rmeileh, Benjamin Acosta-Cazares, Robert J Adams, Wichai Aekplakorn, Kaosar Afsana, Shoaib Afzal, Imelda A Agdeppa, Javad Aghazadeh-Attari, Carlos A Aguilar-Salinas, Charles Agyemang, Noor Ani Ahmad, Ali Ahmadi, Naser Ahmadi, Nastaran Ahmadi, Fariba Ahmadizar, Soheir H Ahmed, Wolfgang Ahrens, Kamel Ajlouni, Rajaa Al-Raddadi, Monira Alarouj, Fadia AlBuhairan, Shahla AlDhukair, Mohamed M Ali, Abdullah Alkandari, Ala'a Alkerwi, Kristine Allin, Eman Aly, Deepak N Amarapurkar, Norbert Amougou, Philippe Amouyel, Lars Bo Andersen, Sigmund A Anderssen, Ranjit Mohan Anjana, Alireza Ansari-Moghaddam, Daniel Ansong, Hajer Aounallah-Skhiri, Joana Araújo, Inger Ariansen, Tahir Aris, Raphael E Arku, Nimmathota Arlappa, Krishna K Aryal, Thor Aspelund, Felix K Assah, Maria Cecília F Assunção, Juha Auvinen, Mária Avdićová, Ana Azevedo, Mohsen Azimi-Nezhad, Fereidoun Azizi, Mehrdad Azmin, Bontha V Babu, Suhad Bahijri, Nagalla Balakrishna, Mohamed Bamoshmoosh, Maciej Banach, Maja Banadinović, Piotr Bandosz, José R Banegas, Joanna Baran, Barbagallo Carlo Maria, Alberto Barceló, Amina Barkat, Marta Barreto, Aluisio Jd Barros, Mauro Virgílio Gomes Barros, Anna Bartosiewicz, Abdul Basit, Joao Luiz D Bastos, Iqbal Bata, Anwar M Batieha, Assembekov Batyrbek, Louise A Baur, Robert Beaglehole, Antonisamy Belavendra, Habiba Ben Romdhane, Mikhail Benet, Lowell S Benson, Salim Berkinbayev, Antonio Bernabe-Ortiz, Gailute Bernotiene, Heloísa Bettiol, Jorge Bezerra, Aroor Bhagyalaxmi, Santosh K Bhargava, Daniel Bia, Katia Biasch, Elysée Claude Bika Lele, Mukharram M Bikbov, Bihungum Bista, Peter Bjerregaard, Espen Bjertness, Marius B Bjertness, Cecilia Björkelund, Katia V Bloch, Anneke Blokstra, Simona Bo, Martin Bobak, Heiner Boeing, Jose G Boggia, Carlos P Boissonnet, Stig E Bojesen, Vanina Bongard, Alice Bonilla-Vargas, Matthias Bopp, Herman Borghs, Pascal Bovet, Christopher B Boyer, Lutgart Braeckman, Imperia Brajkovich, Francesco Branca, Juergen Breckenkamp, Hermann Brenner, Lizzy M Brewster, Yajaira Briceño, Miguel Brito, Graziella Bruno, H Bas Bueno-de-Mesquita, Gloria Bueno, Anna Bugge, Con Burns, Michael Bursztyn, Antonio Cabrera de León, Joseph Cacciottolo, Christine Cameron, Günay Can, Ana Paula C Cândido, Mario V Capanzana, Naděžda Čapková, Eduardo Capuano, Vincenzo Capuano, Viviane C Cardoso, Axel C Carlsson, Joana Carvalho, Felipe F Casanueva, Laura Censi, Marvin Cervantes-Loaiza, Charalambos A Chadjigeorgiou, Snehalatha Chamukuttan, Angelique W Chan, Queenie Chan, Himanshu K Chaturvedi, Nish Chaturvedi, Miao Li Chee, Chien-Jen Chen, Fangfang Chen, Huashuai Chen, Shuohua Chen, Zhengming Chen, Ching-Yu Cheng, Bahman Cheraghian, Imane Cherkaoui Dekkaki, Angela Chetrit, Kuo-Liong Chien, Arnaud Chiolero, Shu-Ti Chiou, Adela Chirita-Emandi, María-Dolores Chirlaque, Belong Cho, Kaare Christensen, Diego G Christofaro, Jerzy Chudek, Eliza Cinteza, Frank Claessens, Janine Clarke, Els Clays, Emmanuel Cohen, Hans Concin, Cyrus Cooper, Tara C Coppinger, Simona Costanzo, Dominique Cottel, Chris Cowell, Cora L Craig, Amelia C Crampin, Ana B Crujeiras, Juan J Cruz, Semánová Csilla, Liufu Cui, Felipe V Cureau, Sarah Cuschieri, Graziella D'Arrigo, Eleonora d'Orsi, Jean Dallongeville, Rachel Dankner, Thomas M Dantoft, Luc Dauchet, Kairat Davletov, Guy De Backer, Dirk De Bacquer, Amalia De Curtis, Giovanni de Gaetano, Stefaan De Henauw, Paula Duarte de Oliveira, David De Ridder, Delphine De Smedt, Mohan Deepa, Alexander D Deev, Vincent Jr DeGennaro, Hélène Delisle, Stefaan Demarest, Elaine Dennison, Valérie Deschamps, Meghnath Dhimal, Augusto F Di Castelnuovo, Juvenal Soares Dias-da-Costa, Alejandro Diaz, Ty T Dickerson, Zivka Dika, Shirin Djalalinia, Ha Tp Do, Annette J Dobson, Chiara Donfrancesco, Silvana P Donoso, Angela Döring, Maria Dorobantu, Marcus Dörr, Kouamelan Doua, Nico Dragano, Wojciech Drygas, Charmaine A Duante, Priscilla Duboz, Rosemary B Duda, Virginija Dulskiene, Anar Dushpanova, Aleksandar Džakula, Vilnis Dzerve, Elzbieta Dziankowska-Zaborszczyk, Ricky Eddie, Ebrahim Eftekhar, Robert Eggertsen, Sareh Eghtesad, Gabriele Eiben, Ulf Ekelund, 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Andre L Guimaraes, Martin C Gulliford, Johanna Gunnlaugsdottir, Marc J Gunter, Prakash C Gupta, Rajeev Gupta, Oye Gureje, Beata Gurzkowska, Laura Gutierrez, Felix Gutzwiller, Seongjun Ha, Farzad Hadaegh, Rosa Haghshenas, Hamid Hakimi, Jytte Halkjær, Ian R Hambleton, Behrooz Hamzeh, Dominique Hange, Abu Am Hanif, Sari Hantunen, Jie Hao, Carla Menêses Hardman, Rachakulla Hari Kumar, Seyed Mohammad Hashemi-Shahri, Jun Hata, Teresa Haugsgjerd, Alison J Hayes, Yuna He, Margit Heier, Marleen Elisabeth Hendriks, Rafael Dos Santos Henrique, Ana Henriques, Leticia Hernandez Cadena, Herqutanto, Sauli Herrala, Ramin Heshmat, Allan G Hill, Sai Yin Ho, Suzanne C Ho, Michael Hobbs, Michelle Holdsworth, Reza Homayounfar, Gonul Horasan Dinc, Andrea Rvr Horimoto, Claudia M Hormiga, Bernardo L Horta, Leila Houti, Christina Howitt, Thein Thein Htay, Aung Soe Htet, Maung Maung Than Htike, Yonghua Hu, José María Huerta, Ilpo Tapani Huhtaniemi, Laetitia Huiart, Martijn Huisman, Abdullatif S Husseini, Inge Huybrechts, Nahla Hwalla, Licia Iacoviello, Anna G Iannone, Mohsen M Ibrahim, Norazizah Ibrahim Wong, M Arfan Ikram, Violeta Iotova, Vilma E Irazola, Takafumi Ishida, Godsent C Isiguzo, Muhammad Islam, Sheikh Mohammed Shariful Islam, Masanori Iwasaki, Rod T Jackson, Jeremy M Jacobs, Hashem Y Jaddou, Tazeen Jafar, Kenneth James, Konrad Jamrozik, Imre Janszky, Edward Janus, Marjo-Riitta Jarvelin, Grazyna Jasienska, Ana Jelaković, Bojan Jelaković, Garry Jennings, Anjani Kumar Jha, Chao Qiang Jiang, Ramon O Jimenez, Karl-Heinz Jöckel, Michel Joffres, Mattias Johansson, Jari J Jokelainen, Jost B Jonas, Torben Jørgensen, Pradeep Joshi, Farahnaz Joukar, Jacek Jóżwiak, Anne Juolevi, Gregor Jurak, Vesna Jureša, Rudolf Kaaks, Anthony Kafatos, Eero O Kajantie, Zhanna Kalmatayeva, Natasa Kalpourtzi, Ofra Kalter-Leibovici, Freja B Kampmann, Srinivasan Kannan, Eva Karaglani, Line L Kårhus, Khem B Karki, Marzieh Katibeh, Joanne Katz, Jussi Kauhanen, Prabhdeep Kaur, Maryam Kavousi, Gyulli M Kazakbaeva, Ulrich Keil, Lital Keinan Boker, Sirkka Keinänen-Kiukaanniemi, Roya Kelishadi, Han Cg Kemper, Maryam Keramati, Alina Kerimkulova, Mathilde Kersting, Timothy Key, Yousef Saleh Khader, Davood Khalili, Kay-Tee Khaw, Bahareh Kheiri, Motahareh Kheradmand, Alireza Khosravi, Ursula Kiechl-Kohlendorfer, Stefan Kiechl, Japhet Killewo, Dong Wook Kim, Jeongseon Kim, Heidi Klakk, Magdalena Klimek, Jurate Klumbiene, Michael Knoflach, Elin Kolle, Patrick Kolsteren, Jukka P Kontto, Raija Korpelainen, Paul Korrovits, Jelena Kos, Seppo Koskinen, Katsuyasu Kouda, Sudhir Kowlessur, Slawomir Koziel, Jana Kratenova, Vilma Kriaucioniene, Peter Lund Kristensen, Steiner Krokstad, Daan Kromhout, Herculina S Kruger, Ruzena Kubinova, Renata Kuciene, Urho M Kujala, Zbigniew Kulaga, R Krishna Kumar, Pawel Kurjata, Yadlapalli S Kusuma, Vladimir Kutsenko, Kari Kuulasmaa, Catherine Kyobutungi, Tiina Laatikainen, Carl Lachat, Youcef Laid, Tai Hing Lam, Orlando Landrove, Vera Lanska, Georg Lappas, Bagher Larijani, Tint Swe Latt, Gwenaëlle Le Coroller, Khanh Le Nguyen Bao, Tuyen D Le, Jeannette Lee, Jeonghee Lee, Nils Lehmann, Terho Lehtimäki, Daniel Lemogoum, Naomi S Levitt, Yanping Li, Christa L Lilly, Wei-Yen Lim, M Fernanda Lima-Costa, Xu Lin, Yi-Ting Lin, Lars Lind, Vijaya Lingam, Allan Linneberg, Lauren Lissner, Mieczyslaw Litwin, Wei-Cheng Lo, Helle-Mai Loit, Esther Lopez-Garcia, Tania Lopez, Paulo A Lotufo, José Eugenio Lozano, Iva Lukačević Lovrenčić, Janice L Lukrafka, Dalia Luksiene, Annamari Lundqvist, Robert Lundqvist, Nuno Lunet, Michala Lustigová, Edyta Luszczki, Guansheng Ma, Jun Ma, George Ll Machado-Coelho, Aristides M Machado-Rodrigues, Enguerran Macia, Luisa M Macieira, Ahmed A Madar, Stefania Maggi, Dianna J Magliano, Emmanuella Magriplis, Gowri Mahasampath, Bernard Maire, Marjeta Majer, Marcia Makdisse, Fatemeh Malekzadeh, Reza Malekzadeh, Rahul Malhotra, Kodavanti Mallikharjuna Rao, Sofia K Malyutina, Lynell V Maniego, Yannis Manios, Jim I Mann, Fariborz Mansour-Ghanaei, Enzo Manzato, Anie Marcil, Staffan B Mårild, Mihalea Marinović Glavić, Pedro Marques-Vidal, Larissa Pruner Marques, Jaume Marrugat, Reynaldo Martorell, Luis P Mascarenhas, Marija Matasin, Ellisiv B Mathiesen, Prashant Mathur, Alicia Matijasevich, Piotr Matlosz, Tandi E Matsha, Christina Mavrogianni, Jean Claude N Mbanya, Anselmo J Mc Donald Posso, Shelly R McFarlane, Stephen T McGarvey, Stela McLachlan, Rachael M McLean, Scott B McLean, Breige A McNulty, Sounnia Mediene Benchekor, Jurate Medzioniene, Parinaz Mehdipour, Kirsten Mehlig, Amir Houshang Mehrparvar, Aline Meirhaeghe, Christa Meisinger, Carlos Mendoza Montano, Ana Maria B Menezes, Geetha R Menon, Alibek Mereke, Indrapal I Meshram, Andres Metspalu, Haakon E Meyer, Jie Mi, Nathalie Michels, Kairit Mikkel, Karolina Milkowska, Jody C Miller, Cláudia S Minderico, G K Mini, Mohammad Reza Mirjalili, Erkin Mirrakhimov, Marjeta Mišigoj-Duraković, Pietro A Modesti, Sahar Saeedi Moghaddam, Bahram Mohajer, Mostafa K 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William A Neal, Azim Nejatizadeh, Ilona Nenko, Martin Neovius, Chung T Nguyen, Nguyen D Nguyen, Quang V Nguyen, Quang Ngoc Nguyen, Ramfis E Nieto-Martínez, Teemu J Niiranen, Yury P Nikitin, Toshiharu Ninomiya, Sania Nishtar, Marina A Njelekela, Marianna Noale, Oscar A Noboa, Ahmad Ali Noorbala, Teresa Norat, Maria Nordendahl, Børge G Nordestgaard, Noto Davide, Natalia Nowak-Szczepanska, Mohannad Al Nsour, Baltazar Nunes, Terence W O'Neill, Dermot O'Reilly, Caleb Ochimana, Eiji Oda, Augustine N Odili, Kyungwon Oh, Kumiko Ohara, Ryutaro Ohtsuka, Valérie Olié, Maria Teresa A Olinto, Isabel O Oliveira, Mohd Azahadi Omar, Altan Onat, Sok King Ong, Lariane M Ono, Pedro Ordunez, Rui Ornelas, Pedro J Ortiz, Clive Osmond, Sergej M Ostojic, Afshin Ostovar, Johanna A Otero, Kim Overvad, Ellis Owusu-Dabo, Fred Michel Paccaud, Cristina Padez, Elena Pahomova, Karina Mary de Paiva, Andrzej Pająk, Domenico Palli, Luigi Palmieri, Wen-Harn Pan, Songhomitra Panda-Jonas, Francesco Panza, Mariela Paoli, Dimitrios Papandreou, Soon-Woo Park, Suyeon Park, Winsome R Parnell, Mahboubeh Parsaeian, Patrick Pasquet, Nikhil D Patel, Halyna Pavlyshyn, Ivan Pećin, Mangesh S Pednekar, João M Pedro, Nasheeta Peer, Sergio Viana Peixoto, Markku Peltonen, Alexandre C Pereira, Karen Gda Peres, Marco A Peres, Annette Peters, Janina Petkeviciene, Niloofar Peykari, Son Thai Pham, Rafael N Pichardo, Iris Pigeot, Hynek Pikhart, Aida Pilav, Lorenza Pilotto, Freda Pitakaka, Aleksandra Piwonska, Andreia N Pizarro, Pedro Plans-Rubió, Ozren Polašek, Miquel Porta, Anil Poudyal, Farhad Pourfarzi, Akram Pourshams, Hossein Poustchi, Rajendra Pradeepa, Alison J Price, Jacqueline F Price, Rui Providencia, Soile E Puhakka, Maria Puiu, Margus Punab, Radwan F Qasrawi, Mostafa Qorbani, Daniel Queiroz, Tran Quoc Bao, Ivana Radić, Ricardas Radisauskas, Salar Rahimikazerooni, Mahfuzar Rahman, Olli Raitakari, Manu Raj, Ellina M Rakhimova, Sudha Ramachandra Rao, Ambady Ramachandran, Elisabete Ramos, Lekhraj Rampal, Sanjay Rampal, Daniel A Rangel Reina, Vayia Rarra, Cassiano Ricardo Rech, Josep Redon, Paul Ferdinand M Reganit, Valéria Regecová, Luis Revilla, Abbas Rezaianzadeh, Robespierre Ribeiro, Elio Riboli, Adrian Richter, Fernando Rigo, Tobias F Rinke de Wit, Raphael M Ritti-Dias, Cynthia Robitaille, Fernando Rodríguez-Artalejo, María Del Cristo Rodriguez-Perez, Laura A Rodríguez-Villamizar, Ulla Roggenbuck, Rosalba Rojas-Martinez, Dora Romaguera, Elisabetta L Romeo, Annika Rosengren, Joel Gr Roy, Adolfo Rubinstein, Jean-Bernard Ruidavets, Blanca Sandra Ruiz-Betancourt, Maria Ruiz-Castell, Iuliia A Rusakova, Paola Russo, Marcin Rutkowski, Charumathi Sabanayagam, Hamideh Sabbaghi, Harshpal S Sachdev, Alireza Sadjadi, Ali Reza Safarpour, Sare Safi, Saeid Safiri, Olfa Saidi, Sibel Sakarya, Nader Saki, Benoit Salanave, Eduardo Salazar Martinez, Diego Salmerón, Veikko Salomaa, Jukka T Salonen, Massimo Salvetti, Jose Sánchez-Abanto, Susana Sans, Diana A Santos, Ina S Santos, Lèlita C Santos, Maria Paula Santos, Rute Santos, Jouko L Saramies, Luis B Sardinha, Giselle Sarganas, Nizal Sarrafzadegan, Thirunavukkarasu Sathish, Kai-Uwe Saum, Savvas Savva, Norie Sawada, Mariana Sbaraini, Marcia Scazufca, Beatriz D Schaan, Herman Schargrodsky, Sabine Schipf, Carsten O Schmidt, Peter Schnohr, Ben Schöttker, Sara Schramm, Constance Schultsz, Aletta E Schutte, Sylvain Sebert, Aye Aye Sein, Abhijit Sen, Idowu O Senbanjo, Sadaf G Sepanlou, Jennifer Servais, Svetlana A Shalnova, Teresa Shamah-Levy, Morteza Shamshirgaran, Coimbatore Subramaniam Shanthirani, Maryam Sharafkhah, Sanjib K Sharma, Jonathan E Shaw, Amaneh Shayanrad, Ali Akbar Shayesteh, Zumin Shi, Kenji Shibuya, Hana Shimizu-Furusawa, Dong Wook Shin, Majid Shirani, Rahman Shiri, Namuna Shrestha, Khairil Si-Ramlee, Alfonso Siani, Rosalynn Siantar, Abla M Sibai, Caroline Ramos de Moura Silva, Diego Augusto Santos Silva, Mary Simon, Judith Simons, Leon A Simons, Michael Sjöström, Jolanta Slowikowska-Hilczer, Przemyslaw Slusarczyk, Liam 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Velasquez-Melendez, Giovanni Veronesi, Wm Monique Verschuren, Roosmarijn Verstraeten, Cesar G Victora, Lucie Viet, Salvador Villalpando, Paolo Vineis, Jesus Vioque, Jyrki K Virtanen, Sophie Visvikis-Siest, Bharathi Viswanathan, Tiina Vlasoff, Peter Vollenweider, Ari Voutilainen, Alisha N Wade, Janette Walton, Elvis Oa Wambiya, Wan Mohamad Wan Bebakar, Wan Nazaimoon Wan Mohamud, Rildo de Souza Wanderley Júnior, Ming-Dong Wang, Ningli Wang, Qian Wang, Xiangjun Wang, Ya Xing Wang, Ying-Wei Wang, S Goya Wannamethee, Nicholas Wareham, Wenbin Wei, Aneta Weres, Bo Werner, Peter H Whincup, Kurt Widhalm, Andrzej Wiecek, Rainford J Wilks, Johann Willeit, Peter Willeit, Emmanuel A Williams, Tom Wilsgaard, Bogdan Wojtyniak, Roy A Wong-McClure, Andrew Wong, Tien Yin Wong, Jean Woo, Frederick C Wu, Shouling Wu, Justyna Wyszynska, Haiquan Xu, Liang Xu, Nor Azwany Yaacob, Weili Yan, Ling Yang, Xiaoguang Yang, Yang Yang, Tabara Yasuharu, Xingwang Ye, Panayiotis K Yiallouros, Moein Yoosefi, Akihiro Yoshihara, San-Lin You, Novie O Younger-Coleman, Ahmad Faudzi Yusoff, Ahmad A Zainuddin, Seyed Rasoul Zakavi, Farhad Zamani, Sabina Zambon, Antonis Zampelas, Maria Elisa Zapata, Ko Ko Zaw, Kristyna Zejglicova, Tajana Zeljkovic Vrkic, Yi Zeng, Luxia Zhang, Zhen-Yu Zhang, Dong Zhao, Ming-Hui Zhao, Shiqi Zhen, Yingfeng Zheng, Bekbolat Zholdin, Dan Zhu, Marie Zins, Emanuel Zitt, Yanina Zocalo, Nada Zoghlami, Julio Zuñiga Cisneros, Majid Ezzati, Sakarya, Sibel (ORCID 0000-0002-9959-6240 & YÖK ID 172028), Zhou, Bin, Carrillo-Larco, Rodrigo M., Danaei, Goodarz, Riley, Leanne M., Paciorek, Christopher J., Stevens, Gretchen A., Gregg, Edward W., Bennett, James E., Solomon, Bethlehem, Singleton, Rosie K., Sophiea, Marisa K., Iurilli, Maria L. 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D. A., Peres, Marco A., Peters, Annette, Petkeviciene, Janina, Peykari, Niloofar, Son Thai Pham, Pichardo, Rafael N., Pigeot, Iris, Pikhart, Hynek, Pilav, Aida, Pilotto, Lorenza, Pitakaka, Freda, Piwonska, Aleksandra, Pizarro, Andreia N., Plans-Rubio, Pedro, Polasek, Ozren, Porta, Miquel, Poudyal, Anil, Pourfarzi, Farhad, Pourshams, Akram, Poustchi, Hossein, Pradeepa, Rajendra, Price, Alison J., Price, Jacqueline F., Providencia, Rui, Puhakka, Soile E., Puiu, Maria, Punab, Margus, Qasrawi, Radwan F., Qorbani, Mostafa, Queiroz, Daniel, Tran Quoc Bao, Radic, Ivana, Radisauskas, Ricardas, Rahimikazerooni, Salar, Rahman, Mahfuzar, Raitakari, Olli, Raj, Manu, Rakhimova, Ellina M., Rao, Sudha Ramachandra, Ramachandran, Ambady, Ramos, Elisabete, Rampal, Lekhraj, Rampal, Sanjay, Rangel Reina, Daniel A., Rarra, Vayia, Rech, Cassiano Ricardo, Redon, Josep, Reganit, Paul Ferdinand M., Regecova, Valeria, Revilla, Luis, Rezaianzadeh, Abbas, Ribeiro, Robespierre, Riboli, Elio, Richter, Adrian, Rigo, Fernando, de Wit, Tobias F. Rinke, Ritti-Dias, Raphael M., Robitaille, Cynthia, Rodriguez-Artalejo, Fernando, del Cristo Rodriguez-Perez, Maria, Rodriguez-Villamizar, Laura A., Roggenbuck, Ulla, Rojas-Martinez, Rosalba, Romaguera, Dora, Romeo, Elisabetta L., Rosengren, Annika, Roy, Joel G. R., Rubinstein, Adolfo, Ruidavets, Jean-Bernard, Sandra Ruiz-Betancourt, Blanca, Ruiz-Castell, Maria, Rusakova, Iuliia A., Russo, Paola, Rutkowski, Marcin, Sabanayagam, Charumathi, Sabbaghi, Hamideh, Sachdev, Harshpal S., Sadjadi, Alireza, Safarpour, Ali Reza, Safi, Sare, Safiri, Saeid, Saidi, Olfa, Saki, Nader, Salanave, Benoit, Salazar Martinez, Eduardo, Salmeron, Diego, Salomaa, Veikko, Salonen, Jukka T., Salvetti, Massimo, Sanchez-Abanto, Jose, Sans, Susana, Santos, Diana A., Santos, Ina S., Santos, Lelita C., Santos, Maria Paula, Santos, Rute, Saramies, Jouko L., Sardinha, Luis B., Sarganas, Giselle, Sarrafzadegan, Nizal, Sathish, Thirunavukkarasu, Saum, Kai-Uwe, Savva, Savvas, Sawada, Norie, Sbaraini, Mariana, Scazufca, Marcia, Schaan, Beatriz D., Schargrodsky, Herman, Schipf, Sabine, Schmidt, Carsten O., Schnohr, Peter, Schoettker, Ben, Schramm, Sara, Schultsz, Constance, Schutte, Aletta E., Sebert, Sylvain, Sein, Aye Aye, Sen, Abhijit, Senbanjo, Idowu O., Sepanlou, Sadaf G., Servais, Jennifer, Shalnova, Svetlana A., Shamah-Levy, Teresa, Shamshirgaran, Morteza, Shanthirani, Coimbatore Subramaniam, Sharafkhah, Maryam, Sharma, Sanjib K., Shaw, Jonathan E., Shayanrad, Amaneh, Shayesteh, Ali Akbar, Shi, Zumin, Shibuya, Kenji, Shimizu-Furusawa, Hana, Shin, Dong Wook, Shirani, Majid, Shiri, Rahman, Shrestha, Namuna, Si-Ramlee, Khairil, Siani, Alfonso, Siantar, Rosalynn, Sibai, Abla M., de Moura Silva, Caroline Ramos, Santos Silva, Diego Augusto, Simon, Mary, Simons, Judith, Simons, Leon A., Sjostrom, Michael, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemyslaw, Smeeth, Liam, So, Hung-Kwan, Soares, Fernanda Cunha, Sobngwi, Eugene, Soderberg, Stefan, Soemantri, Agustinus, Sofat, Reecha, Solfrizzi, Vincenzo, Somi, Mohammad Hossein, Sonestedt, Emily, Song, Yi, Sorensen, Thorkild I. A., Sorgjerd, Elin P., Soric, Maroje, Jerome, Charles Sossa, Soumare, Aicha, Sparboe-Nilsen, Bente, Sparrenberger, Karen, Staessen, Jan A., Starc, Gregor, Stavreski, Bill, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D., Stergiou, George S., Stessman, Jochanan, Stieber, Jutta, Stoeckl, Doris, Stocks, Tanja, Stokwiszewski, Jakub, Stronks, Karien, Strufaldi, Maria Wany, Suka, Machi, Sun, Chien-An, Sung, Yn-Tz, Suriyawongpaisal, Paibul, Sy, Rody G., Syddall, Holly E., Sylva, Rene Charles, Szklo, Moyses, Tai, E. Shyong, Tammesoo, Mari-Liis, Tamosiunas, Abdonas, Tan, Eng Joo, Tang, Xun, Tanser, Frank, Tao, Yong, Tarawneh, Mohammed Rasoul, Tarqui-Mamani, Carolina B., Taylor, Anne, Taylor, Julie, Tebar, William R., Tell, Grethe S., Tello, Tania, Tham, Yih Chung, Thankappan, K. 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M., van Zutphen, Elisabeth M., Vanuzzo, Diego, Varbo, Anette, Vasan, Senthil K., Vega, Tomas, Veidebaum, Toomas, Velasquez-Melendez, Gustavo, Veronesi, Giovanni, Verschuren, W. M. Monique, Verstraeten, Roosmarijn, Victora, Cesar G., Viet, Lucie, Villalpando, Salvador, Vineis, Paolo, Vioque, Jesus, Virtanen, Jyrki K., Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vlasoff, Tiina, Vollenweider, Peter, Voutilainen, Ari, Wade, Alisha N., Walton, Janette, Wambiya, Elvis O. A., Bebakar, Wan Mohamad Wan, Mohamud, Wan Nazaimoon Wan, Wanderley Junior, Rildo de Souza, Wang, Ming-Dong, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S. Goya, Wareham, Nicholas, Wei, Wenbin, Weres, Aneta, Werner, Bo, Whincup, Peter H., Widhalm, Kurt, Wiecek, Andrzej, Wilks, Rainford J., Willeit, Johann, Willeit, Peter, Williams, Emmanuel A., Wilsgaard, Tom, Wojtyniak, Bogdan, Wong-McClure, Roy A., Wong, Andrew, Wong, Tien Yin, Woo, Jean, Wu, Frederick C., Wu, Shouling, Wyszynska, Justyna, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yan, Weili, Yang, Ling, Yang, Xiaoguang, Yang, Yang, Yasuharu, Tabara, Ye, Xingwang, Yiallouros, Panayiotis K., Yoosefi, Moein, Yoshihara, Akihiro, You, San-Lin, Younger-Coleman, Novie O., Yusoff, Ahmad Faudzi, Zainuddin, Ahmad A., Zakavi, Seyed Rasoul, Zamani, Farhad, Zambon, Sabina, Zampelas, Antonis, Elisa Zapata, Maria, Zaw, Ko Ko, Zejglicova, Kristyna, Vrkic, Tajana Zeljkovic, Zeng, Yi, Zhang, Luxia, Zhao, Dong, Zhao, Ming-Hui, Zhen, Shiqi, Zheng, Yingfeng, Zholdin, Bekbolat, Zhu, Dan, Zins, Marie, Zitt, Emanuel, Zocalo, Yanina, Zoghlami, Nada, Zuniga Cisneros, Julio., School of Medicine, ACS - Diabetes & metabolism, APH - Global Health, Pulmonology, Medical Informatics, Adult Psychiatry, Global Health, APH - Quality of Care, APH - Methodology, Vascular Medicine, ACS - Atherosclerosis & ischemic syndromes, Anesthesiology, Graduate School, and ACS - Heart failure & arrhythmias
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Male ,Latin Americans ,Nutrition and Disease ,Epidemiology ,[SDV]Life Sciences [q-bio] ,Medizin ,BLOOD-PRESSURE ,030204 cardiovascular system & hematology ,Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants ,Hypertension ,Prevalence ,Control ,Tretament ,GUIDELINES ,Global Health ,Worldwide trends ,0302 clinical medicine ,Hypertension prevalence ,Voeding en Ziekte ,Medicine and Health Sciences ,kohonnut verenpaine ,Medicine ,030212 general & internal medicine ,Prevention and Control ,11 Medical and Health Sciences ,ComputingMilieux_MISCELLANEOUS ,education.field_of_study ,food and beverages ,Public Health, Global Health, Social Medicine and Epidemiology ,General Medicine ,Noncommunicable diseases ,Period prevalence ,Middle Aged ,kansainvälinen vertailu ,3142 Public health care science, environmental and occupational health ,3. Good health ,MIDDLE-INCOME ,Pooled analysis ,SYSTEMATIC ANALYSIS ,INCOME COUNTRIES ,ADULTS ,PREVENTION ,MANAGEMENT ,ADHERENCE ,DIAGNOSIS ,Western europe ,[SDE]Environmental Sciences ,Hypertension/diagnosis ,NCD Risk Factor Collaboration (NCD-RisC) ,Female ,B990 Subjects Allied to Medicine not elsewhere classified ,Life Sciences & Biomedicine ,Adult ,health-care ,esiintyvyys ,Central asia ,Population ,Nursing ,3121 Internal medicine ,03 medical and health sciences ,Medicine, General & Internal ,Drug Therapy ,General & Internal Medicine ,Life Science ,Humans ,ddc:610 ,education ,Antihypertensive Agents ,VLAG ,Aged ,Science & Technology ,Antihypertensive Agents/therapeutic use ,business.industry ,Omvårdnad ,fungi ,General and internal medicine ,Estados de Saúde e de Doença ,Taking medication ,Treatment ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,Blood pressure ,Faculdade de Ciências Sociais ,3121 General medicine, internal medicine and other clinical medicine ,lääkehoito ,1182 Biochemistry, cell and molecular biology ,business ,Demography - Abstract
Background: hypertension can be detected at the primary health-care level and low-cost treatments can effectively control hypertension. We aimed to measure the prevalence of hypertension and progress in its detection, treatment, and control from 1990 to 2019 for 200 countries and territories. Methods: we used data from 1990 to 2019 on people aged 30-79 years from population-representative studies with measurement of blood pressure and data on blood pressure treatment. We defined hypertension as having systolic blood pressure 140 mm Hg or greater, diastolic blood pressure 90 mm Hg or greater, or taking medication for hypertension. We applied a Bayesian hierarchical model to estimate the prevalence of hypertension and the proportion of people with hypertension who had a previous diagnosis (detection), who were taking medication for hypertension (treatment), and whose hypertension was controlled to below 140/90 mm Hg (control). The model allowed for trends over time to be non-linear and to vary by age. Findings: the number of people aged 30-79 years with hypertension doubled from 1990 to 2019, from 331 (95% credible interval 306-359) million women and 317 (292-344) million men in 1990 to 626 (584-668) million women and 652 (604-698) million men in 2019, despite stable global age-standardised prevalence. In 2019, age-standardised hypertension prevalence was lowest in Canada and Peru for both men and women; in Taiwan, South Korea, Japan, and some countries in western Europe including Switzerland, Spain, and the UK for women; and in several low-income and middle-income countries such as Eritrea, Bangladesh, Ethiopia, and Solomon Islands for men. Hypertension prevalence surpassed 50% for women in two countries and men in nine countries, in central and eastern Europe, central Asia, Oceania, and Latin America. Globally, 59% (55-62) of women and 49% (46-52) of men with hypertension reported a previous diagnosis of hypertension in 2019, and 47% (43-51) of women and 38% (35-41) of men were treated. Control rates among people with hypertension in 2019 were 23% (20-27) for women and 18% (16-21) for men. In 2019, treatment and control rates were highest in South Korea, Canada, and Iceland (treatment >70%; control >50%), followed by the USA, Costa Rica, Germany, Portugal, and Taiwan. Treatment rates were less than 25% for women and less than 20% for men in Nepal, Indonesia, and some countries in sub-Saharan Africa and Oceania. Control rates were below 10% for women and men in these countries and for men in some countries in north Africa, central and south Asia, and eastern Europe. Treatment and control rates have improved in most countries since 1990, but we found little change in most countries in sub-Saharan Africa and Oceania. Improvements were largest in high-income countries, central Europe, and some upper-middle-income and recently high-income countries including Costa Rica, Taiwan, Kazakhstan, South Africa, Brazil, Chile, Turkey, and Iran. Interpretation Improvements in the detection, treatment, and control of hypertension have varied substantially across countries, with some middle-income countries now outperforming most high-income nations. The dual approach of reducing hypertension prevalence through primary prevention and enhancing its treatment and control is achievable not only in high-income countries but also in low-income and middle-income settings., British Heart Foundation Centre of Research Excellence Grant; World Health Organization (WHO); Abdul Latif Jameel Institute for Disease and Emergency Analytics Fellowship
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- 2021
50. Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight
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Zargar, A.H. Zaw, K.K. Zdrojewski, T. Zejglicova, K. Vrkic, T.Z. Zeng, Y. Zhang, L. Zhang, Z.-Y. Zhao, D. Zhao, M.-H. Zhao, W. Zhen, S. Zheng, W. Zheng, Y. Zholdin, B. Zhou, M. Zhu, D. Zins, M. Zitt, E. Zocalo, Y. Cisneros, J.Z. Zuziak, M. Ezzati, M. Filippi, S. NCD Risk Factor Collaboration (NCD-RisC)
- Subjects
nutritional and metabolic diseases ,sense organs ,skin and connective tissue diseases - Abstract
From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions. © Copyright.
- Published
- 2021
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