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1,374 results on '"Kähönen, M"'

2. Novel loci associated with usual sleep duration: the CHARGE Consortium Genome-Wide Association Study

Author

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

Subjects
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.

Published
2015

3. Genome-wide association analysis identifies six new loci associated with forced vital capacity

Author

Loth, DW, Artigas, MS, Gharib, SA, Wain, LV, Franceschini, N, Koch, B, Pottinger, TD, Smith, AV, Duan, Q, Oldmeadow, C, Lee, MK, Strachan, DP, James, AL, Huffman, JE, Vitart, V, Ramasamy, A, Wareham, NJ, Kaprio, J, Wang, XQ, Trochet, H, Kähönen, M, Flexeder, C, Albrecht, E, Lopez, LM, De Jong, K, Thyagarajan, B, Alves, AC, Enroth, S, Omenaas, E, Joshi, PK, Fall, T, Viñuela, A, Launer, LJ, Loehr, LR, Fornage, M, Li, G, Wilk, JB, Tang, W, Manichaikul, A, Lahousse, L, Harris, TB, North, KE, Rudnicka, AR, Hui, J, Gu, X, Lumley, T, Wright, AF, Hastie, ND, Campbell, S, Kumar, R, Pin, I, Scott, RA, Pietiläinen, KH, Surakka, I, Liu, Y, Holliday, EG, Schulz, H, Heinrich, J, Davies, G, Vonk, JM, Wojczynski, M, Pouta, A, Johansson, A, Wild, SH, Ingelsson, E, Rivadeneira, F, Völzke, H, Hysi, PG, Eiriksdottir, G, Morrison, AC, Rotter, JI, Gao, W, Postma, DS, White, WB, Rich, SS, Hofman, A, Aspelund, T, Couper, D, Smith, LJ, Psaty, BM, Lohman, K, Burchard, EG, Uitterlinden, AG, Garcia, M, Joubert, BR, McArdle, WL, Musk, AB, Hansel, N, Heckbert, SR, Zgaga, L, Van Meurs, JBJ, Navarro, P, Rudan, I, Oh, YM, Redline, S, Jarvis, DL, Zhao, JH, Rantanen, T, O'Connor, GT, and Ripatti, S

Subjects
Developmental Biology, Medical and Health Sciences, Biological Sciences
Abstract

Forced vital capacity (FVC), a spirometric measure of pulmonary function, reflects lung volume and is used to diagnose and monitor lung diseases. We performed genome-wide association study meta-analysis of FVC in 52,253 individuals from 26 studies and followed up the top associations in 32,917 additional individuals of European ancestry. We found six new regions associated at genome-wide significance (P < 5 × 10-8) with FVC in or near EFEMP1, BMP6, MIR129-2-HSD17B12, PRDM11, WWOX and KCNJ2. Two loci previously associated with spirometric measures (GSTCD and PTCH1) were related to FVC. Newly implicated regions were followed up in samples from African-American, Korean, Chinese and Hispanic individuals. We detected transcripts for all six newly implicated genes in human lung tissue. The new loci may inform mechanisms involved in lung development and the pathogenesis of restrictive lung disease.© 2014 Nature America, Inc. All rights reserved.

Published
2014

4. Regulation of NC886 RNAs is associated with cardiometabolic risk factors, death and stroke

Author

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

Published
2023
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6. A genome-wide meta-analysis of association studies of Cloninger's Temperament Scales.

Author

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

Subjects
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

Published
2012

8. Genetic insights into resting heart rate and its role in cardiovascular disease.

Author

Vegte, Y.J. van de, Eppinga, R.N., Ende, M.Y. van der, Hagemeijer, Y.P., Mahendran, Y., Salfati, E., Smith, A.V., Tan, V.Y., Arking, D.E., Ntalla, I., Appel, E.V., Schurmann, C., Brody, J.A., Rueedi, R., Polasek, O., Sveinbjornsson, G., Lecoeur, C., Ladenvall, C., Zhao, J.H., Isaacs, A., Wang, L., Luan, Jian'an, Hwang, S.J., Mononen, N., Auro, K., Jackson, A.U., Bielak, L.F., Zeng, L., Shah, N., Nethander, M., Campbell, A., Rankinen, T., Pechlivanis, S., Qi, L., Zhao, Wei, Rizzi, F., Tanaka, T., Robino, A., Cocca, M., Lange, L., Müller-Nurasyid, M., Roselli, C., Zhang, W, Kleber, M.E., Guo, X., Lin, H.J., Pavani, F., Galesloot, T.E., Noordam, R., Milaneschi, Y., Schraut, K.E., Hoed, M. den, Degenhardt, F., Trompet, S., Berg, M.E. van den, Pistis, G., Tham, Y.C., Weiss, S., Sim, X.S., Li, H.L., Most, P.J. van der, Nolte, I.M., Lyytikäinen, L.P., Said, M.A., Witte, D.R., Iribarren, C., Launer, L., Ring, S.M., Vries, P.S. de, Sever, P., Linneberg, A., Bottinger, E.P., Padmanabhan, S., Psaty, B.M., Sotoodehnia, N., Kolcic, I., Arnar, D.O., Gudbjartsson, D.F., Holm, H., Balkau, B., Silva, C.T., Newton-Cheh, C.H., Nikus, K., Salo, P., Mohlke, K.L., Peyser, P.A., Schunkert, H., Lorentzon, M., Lahti, J., Rao, D.C., Cornelis, M.C., Faul, J.D., Smith, J.A., Stolarz-Skrzypek, K., Bandinelli, S., Concas, M.P., Sinagra, G., Meitinger, T., Waldenberger, M., Sinner, M.F., Strauch, K., Delgado, G.E., Taylor, K.D., Yao, J., Foco, L., Melander, O., Graaf, J. de, Mutsert, R. de, Geus, E.J.C. de, Johansson, Å., Joshi, P.K., Lind, L., Franke, A., Macfarlane, P.W., Tarasov, K.V., Tan, N., Felix, S.B., Tai, E.S., Quek, D.Q., Snieder, H., Ormel, J., Ingelsson, M., Lindgren, C., Morris, A.P., Raitakari, O.T., Hansen, T., Assimes, T., Gudnason, V., Timpson, N.J., Morrison, A.C., Munroe, P.B., Strachan, D.P., Grarup, N., Loos, R.J.F., Heckbert, S.R., Vollenweider, P., Hayward, C., Stefansson, K., Froguel, P., Groop, L., Wareham, N.J., Duijn, C.M. van, Feitosa, M.F., O'Donnell, C.J., Kähönen, M., Perola, M., Boehnke, M., Kardia, S.L.R., Erdmann, J., Palmer, C.N.A., Ohlsson, C., Porteous, D.J., Eriksson, J.G., Bouchard, C., Moebus, S., Kraft, P., Weir, D.R., Cusi, D., Ferrucci, L., Ulivi, S., Girotto, G., Correa, A., Kääb, S., Peters, A., Chambers, J.C., Kooner, J.S., März, W., Rotter, J.I., Hicks, A.A., Smith, J.G., Kiemeney, L.A.L.M., Mook-Kanamori, D.O., Penninx, B.W.J.H., Gyllensten, U., Wilson, J.F., Burgess, S., Sundström, J., Lieb, W., Jukema, J.W., Eijgelsheim, M., Lakatta, E.L.M., Cheng, C.Y., Dörr, M., Wong, T.Y., Sabanayagam, C., Oldehinkel, A.J., Riese, H., Lehtimäki, T., Verweij, N., Harst, P. van der, Vegte, Y.J. van de, Eppinga, R.N., Ende, M.Y. van der, Hagemeijer, Y.P., Mahendran, Y., Salfati, E., Smith, A.V., Tan, V.Y., Arking, D.E., Ntalla, I., Appel, E.V., Schurmann, C., Brody, J.A., Rueedi, R., Polasek, O., Sveinbjornsson, G., Lecoeur, C., Ladenvall, C., Zhao, J.H., Isaacs, A., Wang, L., Luan, Jian'an, Hwang, S.J., Mononen, N., Auro, K., Jackson, A.U., Bielak, L.F., Zeng, L., Shah, N., Nethander, M., Campbell, A., Rankinen, T., Pechlivanis, S., Qi, L., Zhao, Wei, Rizzi, F., Tanaka, T., Robino, A., Cocca, M., Lange, L., Müller-Nurasyid, M., Roselli, C., Zhang, W, Kleber, M.E., Guo, X., Lin, H.J., Pavani, F., Galesloot, T.E., Noordam, R., Milaneschi, Y., Schraut, K.E., Hoed, M. den, Degenhardt, F., Trompet, S., Berg, M.E. van den, Pistis, G., Tham, Y.C., Weiss, S., Sim, X.S., Li, H.L., Most, P.J. van der, Nolte, I.M., Lyytikäinen, L.P., Said, M.A., Witte, D.R., Iribarren, C., Launer, L., Ring, S.M., Vries, P.S. de, Sever, P., Linneberg, A., Bottinger, E.P., Padmanabhan, S., Psaty, B.M., Sotoodehnia, N., Kolcic, I., Arnar, D.O., Gudbjartsson, D.F., Holm, H., Balkau, B., Silva, C.T., Newton-Cheh, C.H., Nikus, K., Salo, P., Mohlke, K.L., Peyser, P.A., Schunkert, H., Lorentzon, M., Lahti, J., Rao, D.C., Cornelis, M.C., Faul, J.D., Smith, J.A., Stolarz-Skrzypek, K., Bandinelli, S., Concas, M.P., Sinagra, G., Meitinger, T., Waldenberger, M., Sinner, M.F., Strauch, K., Delgado, G.E., Taylor, K.D., Yao, J., Foco, L., Melander, O., Graaf, J. de, Mutsert, R. de, Geus, E.J.C. de, Johansson, Å., Joshi, P.K., Lind, L., Franke, A., Macfarlane, P.W., Tarasov, K.V., Tan, N., Felix, S.B., Tai, E.S., Quek, D.Q., Snieder, H., Ormel, J., Ingelsson, M., Lindgren, C., Morris, A.P., Raitakari, O.T., Hansen, T., Assimes, T., Gudnason, V., Timpson, N.J., Morrison, A.C., Munroe, P.B., Strachan, D.P., Grarup, N., Loos, R.J.F., Heckbert, S.R., Vollenweider, P., Hayward, C., Stefansson, K., Froguel, P., Groop, L., Wareham, N.J., Duijn, C.M. van, Feitosa, M.F., O'Donnell, C.J., Kähönen, M., Perola, M., Boehnke, M., Kardia, S.L.R., Erdmann, J., Palmer, C.N.A., Ohlsson, C., Porteous, D.J., Eriksson, J.G., Bouchard, C., Moebus, S., Kraft, P., Weir, D.R., Cusi, D., Ferrucci, L., Ulivi, S., Girotto, G., Correa, A., Kääb, S., Peters, A., Chambers, J.C., Kooner, J.S., März, W., Rotter, J.I., Hicks, A.A., Smith, J.G., Kiemeney, L.A.L.M., Mook-Kanamori, D.O., Penninx, B.W.J.H., Gyllensten, U., Wilson, J.F., Burgess, S., Sundström, J., Lieb, W., Jukema, J.W., Eijgelsheim, M., Lakatta, E.L.M., Cheng, C.Y., Dörr, M., Wong, T.Y., Sabanayagam, C., Oldehinkel, A.J., Riese, H., Lehtimäki, T., Verweij, N., and Harst, P. van der

Abstract

Contains fulltext : 296013.pdf (Publisher’s version ) (Open Access), Resting heart rate is associated with cardiovascular diseases and mortality in observational and Mendelian randomization studies. The aims of this study are to extend the number of resting heart rate associated genetic variants and to obtain further insights in resting heart rate biology and its clinical consequences. A genome-wide meta-analysis of 100 studies in up to 835,465 individuals reveals 493 independent genetic variants in 352 loci, including 68 genetic variants outside previously identified resting heart rate associated loci. We prioritize 670 genes and in silico annotations point to their enrichment in cardiomyocytes and provide insights in their ECG signature. Two-sample Mendelian randomization analyses indicate that higher genetically predicted resting heart rate increases risk of dilated cardiomyopathy, but decreases risk of developing atrial fibrillation, ischemic stroke, and cardio-embolic stroke. We do not find evidence for a linear or non-linear genetic association between resting heart rate and all-cause mortality in contrast to our previous Mendelian randomization study. Systematic alteration of key differences between the current and previous Mendelian randomization study indicates that the most likely cause of the discrepancy between these studies arises from false positive findings in previous one-sample MR analyses caused by weak-instrument bias at lower P-value thresholds. The results extend our understanding of resting heart rate biology and give additional insights in its role in cardiovascular disease development.

Published
2023

9. The relationship of trait-like compassion with epigenetic aging:the population-based prospective Young Finns Study

Author

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.

Published
2023

10. Longitudinal metabolomics of increasing body-mass index and waist-hip ratio reveals two dynamic patterns of obesity pandemic

Author

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

Published
2023

11. Circulating cell-free DNA in health and disease:the relationship to health behaviours, ageing phenotypes and metabolomics

Author

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.

Published
2023

12. Childhood dyslipidemia and carotid atherosclerotic plaque in adulthood:the Cardiovascular Risk in Young Finns Study

Author

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.

Published
2023

13. Cross-sectionally calculated metabolic aging does not relate to longitudinal metabolic changes:support for stratified aging models

Author

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.

Published
2023

14. New insights into the genetic etiology of Alzheimer's disease and related dementias

Author

Bellenguez, C., Küçükali, F., Jansen, I. E., Kleineidam, L., Moreno-Grau, S., Amin, N., Naj, A. C., Campos-Martin, R., Grenier-Boley, B., Andrade, V., Holmans, P. A., Boland, A., Damotte, V., van der Lee, S. J., Costa, M. R., Kuulasmaa, T., Yang, Q., de Rojas, I., Bis, J. C., Yaqub, A., Prokic, I., Chapuis, J., Ahmad, S., Giedraitis, V., Aarsland, D., Garcia-Gonzalez, P., Abdelnour, C., Alarcón-Martín, E., Alcolea, D., Alegret, M., Alvarez, I., Álvarez, V., Armstrong, N. J., Tsolaki, A., Antúnez, C., Appollonio, I., Arcaro, M., Archetti, S., Pastor, A. A., Arosio, B., Athanasiu, L., Bailly, H., Banaj, N., Baquero, M., Barral, S., Beiser, A., Pastor, A. B., Below, J. E., Benchek, P., Benussi, L., Berr, C., Besse, C., Bessi, V., Binetti, G., Bizarro, A., Blesa, R., Boada, M., Boerwinkle, E., Borroni, B., Boschi, S., Bossù, P., Bråthen, G., Bressler, J., Bresner, C., Brodaty, H., Brookes, K. J., Brusco, L. I., Buiza-Rueda, D., Bûrger, K., Burholt, V., Bush, W. S., Calero, M., Cantwell, L. B., Chene, G., Chung, J., Cuccaro, M. L., Carracedo, Á., Cecchetti, R., Cervera-Carles, L., Charbonnier, C., Chen, H. -H., Chillotti, C., Ciccone, S., Claassen, J. A. H. R., Clark, C., Conti, E., Corma-Gómez, A., Costantini, E., Custodero, C., Daian, D., Dalmasso, M. C., Daniele, A., Dardiotis, E., Dartigues, J. -F., de Deyn, P. P., de Paiva Lopes, K., de Witte, L. D., Debette, S., Deckert, J., del Ser, T., Denning, N., Destefano, A., Dichgans, M., Diehl-Schmid, J., Diez-Fairen, M., Rossi, P. D., Djurovic, S., Duron, E., Düzel, E., Dufouil, C., Eiriksdottir, G., Engelborghs, S., Escott-Price, V., Espinosa, A., Ewers, M., Faber, K. M., Fabrizio, T., Nielsen, S. F., Fardo, D. W., Farotti, L., Fenoglio, C., Fernández-Fuertes, M., Ferrari, R., Ferreira, C. B., Ferri, E., Fin, B., Fischer, P., Fladby, T., Fließbach, K., Fongang, B., Fornage, M., Fortea, J., Foroud, T. M., Fostinelli, S., Fox, N. C., Franco-Macías, E., Bullido, M. J., Frank-García, A., Froelich, L., Fulton-Howard, B., Galimberti, D., García-Alberca, J. M., García-González, P., Garcia-Madrona, S., Garcia-Ribas, G., Ghidoni, R., Giegling, I., Giorgio, G., Goate, A. M., Goldhardt, O., Gomez-Fonseca, D., González-Pérez, A., Graff, C., Grande, G., Green, E., Grimmer, T., Grünblatt, E., Grunin, M., Gudnason, V., Guetta-Baranes, T., Haapasalo, A., Hadjigeorgiou, G., Haines, J. L., Hamilton-Nelson, K. L., Hampel, H., Hanon, O., Hardy, J., Hartmann, A. M., Hausner, L., Harwood, J., Heilmann-Heimbach, S., Helisalmi, S., Heneka, M. T., Hernández, I., Herrmann, M. J., Hoffmann, P., Holmes, C., Holstege, H., Vilas, R. H., Hulsman, M., Humphrey, J., Biessels, G. J., Jian, X., Johansson, C., Jun, G. R., Kastumata, Y., Kauwe, J., Kehoe, P. G., Kilander, L., Ståhlbom, A. K., Kivipelto, M., Koivisto, A., Kornhuber, J., Kosmidis, M. H., Kukull, W. A., Kuksa, P. P., Kunkle, B. W., Kuzma, A. B., Lage, C., Laukka, E. J., Launer, L., Lauria, A., Lee, C. -Y., Lehtisalo, J., Lerch, O., Lleó, A., Longstreth, W., Lopez, O., de Munain, A. L., Love, S., Löwemark, M., Luckcuck, L., Lunetta, K. L., Ma, Y., Macías, J., Macleod, C. A., Maier, W., Mangialasche, F., Spallazzi, M., Marquié, M., Marshall, R., Martin, E. R., Montes, A. M., Rodríguez, C. M., Masullo, C., Mayeux, R., Mead, S., Mecocci, P., Medina, M., Meggy, A., Mehrabian, S., Mendoza, S., Menéndez-González, M., Mir, P., Moebus, S., Mol, M., Molina-Porcel, L., Montrreal, L., Morelli, L., Moreno, F., Morgan, K., Mosley, T., Nöthen, M. M., Muchnik, C., Mukherjee, S., Nacmias, B., Ngandu, T., Nicolas, G., Nordestgaard, B. G., Olaso, R., Orellana, A., Orsini, M., Ortega, G., Padovani, A., Paolo, C., Papenberg, G., Parnetti, L., Pasquier, F., Pastor, P., Peloso, G., Pérez-Cordón, A., Pérez-Tur, J., Pericard, P., Peters, O., Pijnenburg, Y. A. L., Pineda, J. A., Piñol-Ripoll, G., Pisanu, C., Polak, T., Popp, J., Posthuma, D., Priller, J., Puerta, R., Quenez, O., Quintela, I., Thomassen, J. Q., Rábano, A., Rainero, I., Rajabli, F., Ramakers, I., Real, L. M., Reinders, M. J. T., Reitz, C., Reyes-Dumeyer, D., Ridge, P., Riedel-Heller, S., Riederer, P., Roberto, N., Rodriguez-Rodriguez, E., Rongve, A., Allende, I. R., Rosende-Roca, M., Royo, J. L., Rubino, E., Rujescu, D., Sáez, M. E., Sakka, P., Saltvedt, I., Sanabria, Á., Sánchez-Arjona, M. B., Sanchez-Garcia, F., Juan, P. S., Sánchez-Valle, R., Sando, S. B., Sarnowski, C., Satizabal, C. L., Scamosci, M., Scarmeas, N., Scarpini, E., Scheltens, P., Scherbaum, N., Scherer, M., Schmid, M., Schneider, A., Schott, J. M., Selbæk, G., Seripa, D., Serrano, M., Sha, J., Shadrin, A. A., Skrobot, O., Slifer, S., Snijders, G. J. L., Soininen, H., Solfrizzi, V., Solomon, A., Song, Y. E., Sorbi, S., Sotolongo-Grau, O., Spalletta, G., Spottke, A., Squassina, A., Stordal, E., Tartan, J. P., Tárraga, L., Tesí, N., Thalamuthu, A., Thomas, T., Tosto, G., Traykov, L., Tremolizzo, L., Tybjærg-Hansen, A., Uitterlinden, A., Ullgren, A., Ulstein, I., Valero, S., Valladares, O., Broeckhoven, C. V., Vance, J., Vardarajan, B. N., van der Lugt, A., Dongen, J. V., van Rooij, J., van Swieten, J., Vandenberghe, R., Verhey, F., Vidal, J. -S., Vogelgsang, J., Vyhnalek, M., Wagner, M., Wallon, D., Wang, L. -S., Wang, R., Weinhold, L., Wiltfang, J., Windle, G., Woods, B., Yannakoulia, M., Zare, H., Zhao, Y., Zhang, X., Zhu, C., Zulaica, M., Laczo, J., Matoska, V., Serpente, M., Assogna, F., Piras, F., Ciullo, V., Shofany, J., Ferrarese, C., Andreoni, S., Sala, G., Zoia, C. P., Zompo, M. D., Benussi, A., Bastiani, P., Takalo, M., Natunen, T., Laatikainen, T., Tuomilehto, J., Antikainen, R., Strandberg, T., Lindström, J., Peltonen, M., Abraham, R., Al-Chalabi, A., Bass, N. J., Brayne, C., Brown, K. S., Collinge, J., Craig, D., Deloukas, P., Fox, N., Gerrish, A., Gill, M., Gwilliam, R., Harold, D., Hollingworth, P., Johnston, J. A., Jones, L., Lawlor, B., Livingston, G., Lovestone, S., Lupton, M., Lynch, A., Mann, D., Mcguinness, B., Mcquillin, A., O’Donovan, M. C., Owen, M. J., Passmore, P., Powell, J. F., Proitsi, P., Rossor, M., Shaw, C. E., Smith, A. D., Gurling, H., Todd, S., Mummery, C., Ryan, N., Lacidogna, G., Adarmes-Gómez, A., Mauleón, A., Pancho, A., Gailhajenet, A., Lafuente, A., Macias-García, D., Martín, E., Pelejà, E., Carrillo, F., Merlín, I. S., Garrote-Espina, L., Vargas, L., Carrion-Claro, M., Marín, M., Labrador, M., Buendia, M., Alonso, M. D., Guitart, M., Moreno, M., Ibarria, M., Periñán, M., Aguilera, N., Gómez-Garre, P., Cañabate, P., Escuela, R., Pineda-Sánchez, R., Vigo-Ortega, R., Jesús, S., Preckler, S., Rodrigo-Herrero, S., Diego, S., Vacca, A., Roveta, F., Salvadori, N., Chipi, E., Boecker, H., Laske, C., Perneczky, R., Anastasiou, C., Janowitz, D., Malik, R., Anastasiou, A., Parveen, K., López-García, S., Antonell, A., Mihova, K. Y., Belezhanska, D., Weber, H., Kochen, S., Solis, P., Medel, N., Lisso, J., Sevillano, Z., Politis, D. G., Cores, V., Cuesta, C., Ortiz, C., Bacha, J. I., Rios, M., Saenz, A., Abalos, M. S., Kohler, E., Palacio, D. L., Etchepareborda, I., Kohler, M., Novack, G., Prestia, F. A., Galeano, P., Castaño, E. M., Germani, S., Toso, C. R., Rojo, M., Ingino, C., Mangone, C., Rubinsztein, D. C., Teipel, S., Fievet, N., Deramerourt, V., Forsell, C., Thonberg, H., Bjerke, M., Roeck, E. D., Martínez-Larrad, M. T., Olivar, N., Cano, A., Macias, J., Maroñas, O., Nuñez-Llaves, R., Olivé, C., Adarmes-Gómez, A. D., Amer-Ferrer, G., Antequera, M., Burguera, J. A., Casajeros, M. J., Martinez de Pancorbo, M., Hevilla, S., Espinosa, M. A. L., Legaz, A., Manzanares, S., Marín-Muñoz, J., Marín, T., Martínez, B., Martínez, V., Martínez-Lage Álvarez, P., Iriarte, M. M., Periñán-Tocino, M. T., Real de Asúa, D., Rodrigo, S., Sastre, I., Vicente, M. P., Vivancos, L., Epelbaum, J., Hannequin, D., Campion, D., Deramecourt, V., Tzourio, C., Brice, A., Dubois, B., Williams, A., Thomas, C., Davies, C., Nash, W., Dowzell, K., Morales, A. C., Bernardo-Harrington, M., Turton, J., Lord, J., Brown, K., Vardy, E., Fisher, E., Warren, J. D., Ryan, N. S., Guerreiro, R., Uphill, J., Bass, N., Heun, R., Kölsch, H., Schürmann, B., Lacour, A., Herold, C., Powell, J., Patel, Y., Hodges, A., Becker, T., Warden, D., Wilcock, G., Clarke, R., Ben-Shlomo, Y., Hooper, N. M., Pickering-Brown, S., Sussams, R., Warner, N., Bayer, A., Heuser, I., Drichel, D., Klopp, N., Mayhaus, M., Riemenschneider, M., Pinchler, S., Feulner, T., Gu, W., van den Bussche, H., Hüll, M., Frölich, L., Wichmann, H. -E., Jöckel, K. -H., O’Donovan, M., Owen, M., Bahrami, S., Bosnes, I., Selnes, P., Bergh, S., Palotie, A., Daly, M., Jacob, H., Matakidou, A., Runz, H., John, S., Plenge, R., Mccarthy, M., Hunkapiller, J., Ehm, M., Waterworth, D., Fox, C., Malarstig, A., Klinger, K., Call, K., Behrens, T., Loerch, P., Mäkelä, T., Kaprio, J., Virolainen, P., Pulkki, K., Kilpi, T., Perola, M., Partanen, J., Pitkäranta, A., Kaarteenaho, R., Vainio, S., Turpeinen, M., Serpi, R., Laitinen, T., Mäkelä, J., Kosma, V. -M., Kujala, U., Tuovila, O., Hendolin, M., Pakkanen, R., Waring, J., Riley-Gillis, B., Liu, J., Biswas, S., Diogo, D., Marshall, C., Hu, X., Gossel, M., Graham, R., Cummings, B., Ripatti, S., Schleutker, J., Arvas, M., Carpén, O., Hinttala, R., Kettunen, J., Mannermaa, A., Laukkanen, J., Julkunen, V., Remes, A., Kälviäinen, R., Peltola, J., Tienari, P., Rinne, J., Ziemann, A., Esmaeeli, S., Smaoui, N., Lehtonen, A., Eaton, S., Lahdenperä, S., van Adelsberg, J., Michon, J., Kerchner, G., Bowers, N., Teng, E., Eicher, J., Mehta, V., Gormley, P., Linden, K., Whelan, C., Xu, F., Pulford, D., Färkkilä, M., Pikkarainen, S., Jussila, A., Blomster, T., Kiviniemi, M., Voutilainen, M., Georgantas, B., Heap, G., Rahimov, F., Usiskin, K., Lu, T., Oh, D., Kalpala, K., Miller, M., Mccarthy, L., Eklund, K., Palomäki, A., Isomäki, P., Pirilä, L., Kaipiainen-Seppänen, O., Huhtakangas, J., Lertratanakul, A., Hochfeld, M., Bing, N., Gordillo, J. E., Mars, N., Pelkonen, M., Kauppi, P., Kankaanranta, H., Harju, T., Close, D., Greenberg, S., Chen, H., Betts, J., Ghosh, S., Salomaa, V., Niiranen, T., Juonala, M., Metsärinne, K., Kähönen, M., Junttila, J., Laakso, M., Pihlajamäki, J., Sinisalo, J., Taskinen, M. -R., Tuomi, T., Challis, B., Peterson, A., Chu, A., Parkkinen, J., Muslin, A., Joensuu, H., Meretoja, T., Aaltonen, L., Mattson, J., Auranen, A., Karihtala, P., Kauppila, S., Auvinen, P., Elenius, K., Popovic, R., Schutzman, J., Loboda, A., Chhibber, A., Lehtonen, H., Mcdonough, S., Crohns, M., Kulkarni, D., Kaarniranta, K., Turunen, J. A., Ollila, T., Seitsonen, S., Uusitalo, H., Aaltonen, V., Uusitalo-Järvinen, H., Luodonpää, M., Hautala, N., Loomis, S., Strauss, E., Podgornaia, A., Hoffman, J., Tasanen, K., Huilaja, L., Hannula-Jouppi, K., Salmi, T., Peltonen, S., Koulu, L., Harvima, I., Wu, Y., Choy, D., Pussinen, P., Salminen, A., Salo, T., Rice, D., Nieminen, P., Palotie, U., Siponen, M., Suominen, L., Mäntylä, P., Gursoy, U., Anttonen, V., Sipilä, K., Davis, J. W., Quarless, D., Petrovski, S., Wigmore, E., Chen, C. -Y., Bronson, P., Tsai, E., Huang, Y., Maranville, J., Shaikho, E., Mohammed, E., Wadhawan, S., Kvikstad, E., Caliskan, M., Chang, D., Bhangale, T., Pendergrass, S., Holzinger, E., Chen, X., Hedman, Å., King, K. S., Wang, C., Xu, E., Auge, F., Chatelain, C., Rajpal, D., Liu, D., Xia, T. -H., Brauer, M., Kurki, M., Karjalainen, J., Havulinna, A., Jalanko, A., Palta, P., della Briotta Parolo, P., Zhou, W., Lemmelä, S., Rivas, M., Harju, J., Lehisto, A., Ganna, A., Llorens, V., Laivuori, H., Rüeger, S., Niemi, M. E., Tukiainen, T., Reeve, M. P., Heyne, H., Palin, K., Garcia-Tabuenca, J., Siirtola, H., Kiiskinen, T., Lee, J., Tsuo, K., Elliott, A., Kristiansson, K., Hyvärinen, K., Ritari, J., Koskinen, M., Pylkäs, K., Kalaoja, M., Karjalainen, M., Mantere, T., Kangasniemi, E., Heikkinen, S., Laakkonen, E., Sipeky, C., Heron, S., Karlsson, A., Jambulingam, D., Rathinakannan, V. S., Kajanne, R., Aavikko, M., Jiménez, M. G., della Briotta Parola, P., Kanai, M., Kaunisto, M., Kilpeläinen, E., Sipilä, T. P., Brein, G., Awaisa, G., Shcherban, A., Donner, K., Loukola, A., Laiho, P., Sistonen, T., Kaiharju, E., Laukkanen, M., Järvensivu, E., Lähteenmäki, S., Männikkö, L., Wong, R., Mattsson, H., Hiekkalinna, T., Paajanen, T., Pärn, K., Gracia-Tabuenca, J., Abner, E., Adams, P. M., Aguirre, A., Albert, M. S., Albin, R. L., Allen, M., Alvarez, L., Apostolova, L. G., Arnold, S. E., Asthana, S., Atwood, C. S., Ayres, G., Baldwin, C. T., Barber, R. C., Barnes, L. L., Beach, T. G., Becker, J. T., Beecham, G. W., Beekly, D., Benitez, B. A., Bennett, D., Bertelson, J., Margaret, F. E., Bird, T. D., Blacker, D., Boeve, B. F., Bowen, J. D., Boxer, A., Brewer, J., Burke, J. R., Burns, J. M., Buxbaum, J. D., Cairns, N. J., Cao, C., Carlson, C. S., Carlsson, C. M., Carney, R. M., Carrasquillo, M. M., Chasse, S., Chesselet, M. -F., Chesi, A., Chin, N. A., Chui, H. C., Craft, S., Crane, P. K., Cribbs, D. H., Crocco, E. A., Cruchaga, C., Cullum, M., Darby, E., Davis, B., De Jager, P. 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M, Rossi, P, Djurovic, S, Duron, E, Düzel, E, Dufouil, C, Eiriksdottir, G, Engelborghs, S, Escott-Price, V, Espinosa, A, Ewers, M, Faber, K, Fabrizio, T, Nielsen, S, Fardo, D, Farotti, L, Fenoglio, C, Fernández-Fuertes, M, Ferrari, R, Ferreira, C, Ferri, E, Fin, B, Fischer, P, Fladby, T, Fließbach, K, Fongang, B, Fornage, M, Fortea, J, Foroud, T, Fostinelli, S, Fox, N, Franco-Macías, E, Bullido, M, Frank-García, A, Froelich, L, Fulton-Howard, B, Galimberti, D, García-Alberca, J, García-González, P, Garcia-Madrona, S, Garcia-Ribas, G, Ghidoni, R, Giegling, I, Giorgio, G, Goate, A, Goldhardt, O, Gomez-Fonseca, D, González-Pérez, A, Graff, C, Grande, G, Green, E, Grimmer, T, Grünblatt, E, Grunin, M, Gudnason, V, Guetta-Baranes, T, Haapasalo, A, Hadjigeorgiou, G, Haines, J, Hamilton-Nelson, K, Hampel, H, Hanon, O, Hardy, J, Hartmann, A, Hausner, L, Harwood, J, Heilmann-Heimbach, S, Helisalmi, S, Heneka, M, Hernández, I, Herrmann, M, Hoffmann, P, Holmes, C, Holstege, H, Vilas, R, Hulsman, 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Peters, O, Pijnenburg, Y, Pineda, J, Piñol-Ripoll, G, Pisanu, C, Polak, T, Popp, J, Posthuma, D, Priller, J, Puerta, R, Quenez, O, Quintela, I, Thomassen, J, Rábano, A, Rainero, I, Rajabli, F, Ramakers, I, Real, L, Reinders, M, Reitz, C, Reyes-Dumeyer, D, Ridge, P, Riedel-Heller, S, Riederer, P, Roberto, N, Rodriguez-Rodriguez, E, Rongve, A, Allende, I, Rosende-Roca, M, Royo, J, Rubino, E, Rujescu, D, Sáez, M, Sakka, P, Saltvedt, I, Sanabria, Á, Sánchez-Arjona, M, Sanchez-Garcia, F, Juan, P, Sánchez-Valle, R, Sando, S, Sarnowski, C, Satizabal, C, Scamosci, M, Scarmeas, N, Scarpini, E, Scheltens, P, Scherbaum, N, Scherer, M, Schmid, M, Schneider, A, Schott, J, Selbæk, G, Seripa, D, Serrano, M, Sha, J, Shadrin, A, Skrobot, O, Slifer, S, Snijders, G, Soininen, H, Solfrizzi, V, Solomon, A, Song, Y, Sorbi, S, Sotolongo-Grau, O, Spalletta, G, Spottke, A, Squassina, A, Stordal, E, Tartan, J, Tárraga, L, Tesí, N, Thalamuthu, A, Thomas, T, Tosto, G, Traykov, L, Tremolizzo, L, Tybjærg-Hansen, A, Uitterlinden, A, Ullgren, A, Ulstein, I, Valero, S, Valladares, O, Broeckhoven, C, Vance, J, Vardarajan, B, van der Lugt, A, Dongen, J, van Rooij, J, van Swieten, J, Vandenberghe, R, Verhey, F, Vidal, J, Vogelgsang, J, Vyhnalek, M, Wagner, M, Wallon, D, Wang, L, Wang, R, Weinhold, L, Wiltfang, J, Windle, G, Woods, B, Yannakoulia, M, Zare, H, Zhao, Y, Zhang, X, Zhu, C, Zulaica, M, Andreoni, S, Ferrarese, C, Sala, G, Zoia, C, Farrer, L, Psaty, B, Ghanbari, M, Raj, T, Sachdev, P, Mather, K, Jessen, F, Ikram, M, de Mendonça, A, Hort, J, Tsolaki, M, Pericak-Vance, M, Amouyel, P, Williams, J, Frikke-Schmidt, R, Clarimon, J, Deleuze, J, Rossi, G, Seshadri, S, Andreassen, O, Ingelsson, M, Hiltunen, M, Sleegers, K, Schellenberg, G, van Duijn, C, Sims, R, van der Flier, W, Ruiz, A, Ramirez, A, Lambert, J, VU University medical center, Amsterdam Neuroscience - Neurodegeneration, Neurology, Human genetics, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Compulsivity, 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Sachdev, Perminder [0000-0002-9595-3220], Mather, Karen [0000-0003-4143-8941], Ikram, M Arfan [0000-0003-0372-8585], Tsolaki, Magda [0000-0002-2072-8010], Pericak-Vance, Margaret A [0000-0001-7283-8804], Amouyel, Philippe [0000-0001-9088-234X], Williams, Julie [0000-0002-4069-0259], Frikke-Schmidt, Ruth [0000-0003-4084-5027], Seshadri, Sudha [0000-0001-6135-2622], Andreassen, Ole A [0000-0002-4461-3568], Sleegers, Kristel [0000-0002-0283-2332], van Duijn, Cornelia M [0000-0002-2374-9204], Sims, Rebecca [0000-0002-3885-1199], van der Flier, Wiesje M [0000-0001-8766-6224], Ramirez, Alfredo [0000-0003-4991-763X], Lambert, Jean-Charles [0000-0003-0829-7817], Apollo - University of Cambridge Repository, Complex Trait Genetics, Clinical sciences, Neuroprotection & Neuromodulation, Pathologic Biochemistry and Physiology, Clinical Biology, Epidemiology, Internal Medicine, Psychiatrie & Neuropsychologie, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, MUMC+: MA Med Staf Spec Psychiatrie (9), UAM. Departamento de Biología Molecular, University of Helsinki, Department of Neurosciences, HUS Internal Medicine and Rehabilitation, Timo Strandberg / Principal Investigator, Department of Medicine, Clinicum, HUS Neurocenter, Neurologian yksikkö, Centre of Excellence in Complex Disease Genetics, HUS Abdominal Center, Institut Pasteur, Institut National de la Santé et de la Recherche Médicale (France), European Commission, LabEx DISTALZ, Pérez-Tur, Jordi, University Children’s Hospital Basel (Suiza), INSERM (Francia), Lille Métropole Communauté Urbaine, Government of France (Francia), EADB, GR@ACE, DEGESCO, EADI, GERAD, Demgene, FinnGen, ADGC, CHARGE, Holmans, Peter A. [0000-0003-0870-9412], van der Lee, Sven J. [0000-0003-1606-8643], Costa, Marcos R. [0000-0002-4928-2163], Bis, Joshua C. [0000-0002-3409-1110], Brookes, Keeley J. [0000-0003-2427-2513], Bush, William S. [0000-0002-9729-6519], de Witte, Lot D. [0000-0002-7235-9958], del Ser, Teodoro [0000-0001-9806-7083], Fox, Nick C. 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[0000-0001-8766-6224], and Molecular Neuroscience and Ageing Research (MOLAR)

Subjects
tau Proteins/genetics, Alzheimer`s disease Donders Center for Medical Neuroscience [Radboudumc 1], Neurologi, MED/03 - GENETICA MEDICA, 45/43, Medizin, Stress-related disorders Donders Center for Medical Neuroscience [Radboudumc 13], genetics [Alzheimer Disease], Genome-Wide Association Study, Humans, tau Proteins, Alzheimer Disease, Cognitive Dysfunction, VARIANTS, pathology [Alzheimer Disease], Tau Proteins, Settore BIO/13 - Biologia Applicata, Cognitive Dysfunction/psychology, 692/699/375/365/1283, IMPUTATION, article, 1184 Genetics, developmental biology, physiology, Biología y Biomedicina / Biología, AMYLOID-BETA, Settore MED/26 - NEUROLOGIA, Neurology, psychology [Cognitive Dysfunction], Medical Genetics, Human, Neuroscience(all), 631/208/205/2138, All institutes and research themes of the Radboud University Medical Center, SDG 3 - Good Health and Well-being, ddc:570, Genetics, Genetic Predisposition to Disease, GENOME-WIDE ASSOCIATION, METAANALYSIS, Medicinsk genetik, MED/26 - NEUROLOGIA, Alzheimer Disease/genetics, neurology, tau Protein, NECROSIS-FACTOR-ALPHA, RISK LOCI, genetics [tau Proteins], PREDICTION MODELS, Human medicine, GENERATION, RESPONSES
Abstract

25 páginas, 6 figuras, 2 tablas, Characterization of the genetic landscape of Alzheimer's disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. We performed a two-stage genome-wide association study totaling 111,326 clinically diagnosed/'proxy' AD cases and 677,663 controls. We found 75 risk loci, of which 42 were new at the time of analysis. Pathway enrichment analyses confirmed the involvement of amyloid/tau pathways and highlighted microglia implication. Gene prioritization in the new loci identified 31 genes that were suggestive of new genetically associated processes, including the tumor necrosis factor alpha pathway through the linear ubiquitin chain assembly complex. We also built a new genetic risk score associated with the risk of future AD/dementia or progression from mild cognitive impairment to AD/dementia. The improvement in prediction led to a 1.6- to 1.9-fold increase in AD risk from the lowest to the highest decile, in addition to effects of age and the APOE ε4 allele., This work was funded by a grant (EADB) from the EU Joint Programme – Neurodegenerative Disease Research. INSERM UMR1167 is also funded by the INSERM, Institut Pasteur de Lille, Lille Métropole Communauté Urbaine and French government’s LABEX DISTALZ program (development of innovative strategies for a transdisciplinary approach to AD). Full consortium acknowledgements and funding are in the Supplementary Not

Published
2022

18. An epigenome-wide association study meta-analysis of educational attainment

Author

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

Published
2017
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20. Prevalence Implications of the 2017 American Academy of Pediatrics Hypertension Guideline and Associations with Adult Hypertension.

Author

Khoury, M, Khoury, P, Bazzano, L, Burns, TL, Daniels, S, Dwyer, T, Ikonen, J, Jacobs, DR, Juonala, M, Kähönen, M, Prineas, R, Raitakari, OT, Steinberger, J, Venn, A, Viikari, J, Woo, JG, Sinaiko, A, Urbina, EM, Khoury, M, Khoury, P, Bazzano, L, Burns, TL, Daniels, S, Dwyer, T, Ikonen, J, Jacobs, DR, Juonala, M, Kähönen, M, Prineas, R, Raitakari, OT, Steinberger, J, Venn, A, Viikari, J, Woo, JG, Sinaiko, A, and Urbina, EM

Abstract

OBJECTIVE: To evaluate the impact of the 2017 American Academy of Pediatrics hypertension Clinical Practice Guideline (CPG), compared with the previous guideline ("Fourth Report"), on the frequency of hypertensive blood pressure (BP) measurements in childhood and associations with hypertension in adulthood using data from the International Childhood Cardiovascular Cohort Consortium. STUDY DESIGN: Childhood BPs were categorized in normal, prehypertensive/elevated, and hypertensive (stage 1 and 2) ranges using the Fourth Report and the CPG. Participants were contacted in adulthood to assess self-reported hypertension. The associations between childhood hypertensive range BPs and self-reported adult hypertension were evaluated. RESULTS: Data were available for 34 014 youth (10.4 ± 3.1 years, 50.6% female) with 92 751 BP assessments. Compared with the Fourth Report, the CPG increased hypertensive readings from 7.6% to 13.5% and from 1.3% to 2.5% for stage 1 and 2 hypertensive range, respectively (P < .0001). Of 12 761 adults (48.8 ± 7.9 years, 43% male), 3839 (30.1%) had self-reported hypertension. The sensitivity for predicting adult hypertension among those with hypertensive range BPs at any point in childhood, as defined by the Fourth Report and the CPG, respectively, was 13.4% and 22.4% (specificity 92.3% and 85.9%, P < .001), with no significant impact on positive and negative predictive values. Associations with self-reported adult hypertension were similar and weak (c-statistic range 0.61-0.68) for hypertensive range BPs as defined by the Fourth Report and CPG. CONCLUSIONS: The CPG significantly increased the prevalence of childhood BPs in hypertensive ranges and improved the sensitivity, without an overall strengthened association, of predicting self-reported adult hypertension.

Published
2022

21. Associations of Polymorphisms in the Peroxisome Proliferator-Activated Receptor Gamma Coactivator-1 Alpha Gene With Subsequent Coronary Heart Disease: An Individual-Level Meta-Analysis

Author

Schillemans, T., Tragante, V., Maitusong, B., Gigante, B., Cresci, S., Laguzzi, F., Vikström, M., Richards, M., Pilbrow, A., Cameron, V., Foco, L., Doughty, R.N., Kuukasjärvi, P., Allayee, H., Hartiala, J.A., Tang, W.H., Lyytikäinen, L.P., Nikus, K., Laurikka, J.O., Srinivasan, S., Mordi, I.R., Trompet, S., Kraaijeveld, A., Setten, J. van, Gijsberts, C.M., Maitland-van der Zee, A.H., Saely, C.H., Gong, Y., Johnson, J.A., Cooper-DeHoff, R.M., Pepine, C.J., Casu, G., Leiherer, A., Drexel, H., Horne, B.D., Laan, S.W. van der, Marziliano, N., Hazen, S.L., Sinisalo, J., Kähönen, M., Lehtimäki, T., Lang, C.C., Burkhardt, R., Scholz, M., Jukema, J.W., Eriksson, N., Åkerblom, A., James, S., Held, C., Hagström, E., Spertus, J.A., Algra, A., Faire, U. de, Åkesson, A., Asselbergs, F.W., Patel, R.S., Leander, K., Schillemans, T., Tragante, V., Maitusong, B., Gigante, B., Cresci, S., Laguzzi, F., Vikström, M., Richards, M., Pilbrow, A., Cameron, V., Foco, L., Doughty, R.N., Kuukasjärvi, P., Allayee, H., Hartiala, J.A., Tang, W.H., Lyytikäinen, L.P., Nikus, K., Laurikka, J.O., Srinivasan, S., Mordi, I.R., Trompet, S., Kraaijeveld, A., Setten, J. van, Gijsberts, C.M., Maitland-van der Zee, A.H., Saely, C.H., Gong, Y., Johnson, J.A., Cooper-DeHoff, R.M., Pepine, C.J., Casu, G., Leiherer, A., Drexel, H., Horne, B.D., Laan, S.W. van der, Marziliano, N., Hazen, S.L., Sinisalo, J., Kähönen, M., Lehtimäki, T., Lang, C.C., Burkhardt, R., Scholz, M., Jukema, J.W., Eriksson, N., Åkerblom, A., James, S., Held, C., Hagström, E., Spertus, J.A., Algra, A., Faire, U. de, Åkesson, A., Asselbergs, F.W., Patel, R.S., and Leander, K.

Abstract

Contains fulltext : 283506.pdf (Publisher’s version ) (Open Access), Background: The knowledge of factors influencing disease progression in patients with established coronary heart disease (CHD) is still relatively limited. One potential pathway is related to peroxisome proliferator-activated receptor gamma coactivator-1 alpha (PPARGC1A), a transcription factor linked to energy metabolism which may play a role in the heart function. Thus, its associations with subsequent CHD events remain unclear. We aimed to investigate the effect of three different SNPs in the PPARGC1A gene on the risk of subsequent CHD in a population with established CHD. Methods: We employed an individual-level meta-analysis using 23 studies from the GENetIcs of sUbSequent Coronary Heart Disease (GENIUS-CHD) consortium, which included participants (n = 80,900) with either acute coronary syndrome, stable CHD, or a mixture of both at baseline. Three variants in the PPARGC1A gene (rs8192678, G482S; rs7672915, intron 2; and rs3755863, T528T) were tested for their associations with subsequent events during the follow-up using a Cox proportional hazards model adjusted for age and sex. The primary outcome was subsequent CHD death or myocardial infarction (CHD death/myocardial infarction). Stratified analyses of the participant or study characteristics as well as additional analyses for secondary outcomes of specific cardiovascular disease diagnoses and all-cause death were also performed. Results: Meta-analysis revealed no significant association between any of the three variants in the PPARGC1A gene and the primary outcome of CHD death/myocardial infarction among those with established CHD at baseline: rs8192678, hazard ratio (HR): 1.01, 95% confidence interval (CI) 0.98-1.05 and rs7672915, HR: 0.97, 95% CI 0.94-1.00; rs3755863, HR: 1.02, 95% CI 0.99-1.06. Similarly, no significant associations were observed for any of the secondary outcomes. The results from stratified analyses showed null results, except for significant inverse associations between rs7672915 (intro

Published
2022

22. Genome-wide association analyses of physical activity and sedentary behavior provide insights into underlying mechanisms and roles in disease prevention

Author

Wang, Zhe, Emmerich, A., Pillon, N.J., Moore, T., Hemerich, D., Cornelis, M.C., Mazzaferro, E., Broos, S., Ahluwalia, T.S., Bartz, T.M., Bentley, A.R., Bielak, L.F., Chong, M., Chu, A.Y., Berry, D., Dorajoo, R., Dueker, N.D., Kasbohm, E., Feenstra, B., Feitosa, M.F., Gieger, C., Graff, M, Hall, L.M., Haller, T., Hartwig, F.P., Hillis, D.A., Huikari, V., Heard-Costa, N., Holzapfel, C., Jackson, A.U., Johansson, Å., Jørgensen, A.M., Kaakinen, M.A., Karlsson, R., Kerr, K.F., Kim, Boram, Koolhaas, C.M., Kutalik, Z., Lagou, V., Lind, P.A., Lorentzon, M., Lyytikäinen, L.P., Mangino, M., Metzendorf, C., Monroe, K.R., Pacolet, A., Pérusse, L., Pool, R., Richmond, R.C., Rivera, N.V., Robiou-du-Pont, S., Schraut, K.E., Schulz, C.A., Stringham, H.M., Tanaka, T., Teumer, A., Turman, C., Most, P.J. van der, Vanmunster, M., Rooij, F.J. van, Vliet-Ostaptchouk, J.V. Van, Zhang, Xiaoshuai, Zhao, J.H., Zhao, W, Balkhiyarova, Z., Balslev-Harder, M.N., Baumeister, S.E., Beilby, J., Blangero, J., Boomsma, D.I., Brage, S., Braund, P.S., Brody, J.A., Bruinenberg, M., Ekelund, U., Liu, C.T., Cole, J.W., Collins, F.S., Cupples, L.A., Esko, T., Enroth, S., Faul, J.D., Fernandez-Rhodes, L., Fohner, A.E., Franco, O.H., Galesloot, T.E., Gordon, S.D.S., Grarup, N., Hartman, C.A., Heiss, G., Hui, J., Illig, T., Jago, R., James, A., Joshi, P.K., Jung, T., Kähönen, M., Kilpeläinen, T.O., Koh, W.P., Kolcic, I., Kiemeney, L.A.L.M., Loos, R.J.F., Hoed, Marcel Den, Wang, Zhe, Emmerich, A., Pillon, N.J., Moore, T., Hemerich, D., Cornelis, M.C., Mazzaferro, E., Broos, S., Ahluwalia, T.S., Bartz, T.M., Bentley, A.R., Bielak, L.F., Chong, M., Chu, A.Y., Berry, D., Dorajoo, R., Dueker, N.D., Kasbohm, E., Feenstra, B., Feitosa, M.F., Gieger, C., Graff, M, Hall, L.M., Haller, T., Hartwig, F.P., Hillis, D.A., Huikari, V., Heard-Costa, N., Holzapfel, C., Jackson, A.U., Johansson, Å., Jørgensen, A.M., Kaakinen, M.A., Karlsson, R., Kerr, K.F., Kim, Boram, Koolhaas, C.M., Kutalik, Z., Lagou, V., Lind, P.A., Lorentzon, M., Lyytikäinen, L.P., Mangino, M., Metzendorf, C., Monroe, K.R., Pacolet, A., Pérusse, L., Pool, R., Richmond, R.C., Rivera, N.V., Robiou-du-Pont, S., Schraut, K.E., Schulz, C.A., Stringham, H.M., Tanaka, T., Teumer, A., Turman, C., Most, P.J. van der, Vanmunster, M., Rooij, F.J. van, Vliet-Ostaptchouk, J.V. Van, Zhang, Xiaoshuai, Zhao, J.H., Zhao, W, Balkhiyarova, Z., Balslev-Harder, M.N., Baumeister, S.E., Beilby, J., Blangero, J., Boomsma, D.I., Brage, S., Braund, P.S., Brody, J.A., Bruinenberg, M., Ekelund, U., Liu, C.T., Cole, J.W., Collins, F.S., Cupples, L.A., Esko, T., Enroth, S., Faul, J.D., Fernandez-Rhodes, L., Fohner, A.E., Franco, O.H., Galesloot, T.E., Gordon, S.D.S., Grarup, N., Hartman, C.A., Heiss, G., Hui, J., Illig, T., Jago, R., James, A., Joshi, P.K., Jung, T., Kähönen, M., Kilpeläinen, T.O., Koh, W.P., Kolcic, I., Kiemeney, L.A.L.M., Loos, R.J.F., and Hoed, Marcel Den

Abstract

Contains fulltext : 282313.pdf (Publisher’s version ) (Open Access), Although physical activity and sedentary behavior are moderately heritable, little is known about the mechanisms that influence these traits. Combining data for up to 703,901 individuals from 51 studies in a multi-ancestry meta-analysis of genome-wide association studies yields 99 loci that associate with self-reported moderate-to-vigorous intensity physical activity during leisure time (MVPA), leisure screen time (LST) and/or sedentary behavior at work. Loci associated with LST are enriched for genes whose expression in skeletal muscle is altered by resistance training. A missense variant in ACTN3 makes the alpha-actinin-3 filaments more flexible, resulting in lower maximal force in isolated type II(A) muscle fibers, and possibly protection from exercise-induced muscle damage. Finally, Mendelian randomization analyses show that beneficial effects of lower LST and higher MVPA on several risk factors and diseases are mediated or confounded by body mass index (BMI). Our results provide insights into physical activity mechanisms and its role in disease prevention.

Published
2022

23. Pancreatic secretory trypsin inhibitor (SPINK1) gene mutation in patients with acute alcohol pancreatitis (AAP) compared to healthy controls and heavy alcohol users without pancreatitis

Author

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.

Published
2022

24. Genome-wide analysis of 102,084 migraine cases identifies 123 risk loci and subtype-specific risk alleles

Author

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.

Published
2022

25. The relationship between temperament, polygenic score for intelligence and cognition:a population-based study of middle-aged adults

Author

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.

Published
2022

26. Genetic and observational evidence:no independent role for cholesterol efflux over static high-density lipoprotein concentration measures in coronary heart disease risk assessment

Author

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.

Published
2022

27. Glycoprotein acetyls:a novel inflammatory biomarker of early cardiovascular risk in the young

Author

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

Published
2022

29. Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption

Author

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

Published
2015
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31. Uncovering the complex genetic architecture of human lipidome

Author

Mishra, B. H. Hamal, primary, Lehtimäki, M., additional, Mishra, P., additional, Val, C.D., additional, Zwir, I., additional, Cloninger, C.R., additional, Kähönen, M., additional, Raitakari, O.T., additional, Hilvo, M., additional, Laaksonen, R., additional, and Lehtimäki, T., additional

Published
2021
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33. Metabolic profiling of angiopoietin-like protein 3 and 4 inhibition:a drug-target Mendelian randomization analysis

Author

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)

Subjects
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.

Published
2021

34. Rewards of compassion:dispositional compassion predicts lower job strain and effort-reward imbalance over a 11-year follow-up

Author

Tolonen, I. (Iina), Saarinen, A. (Aino), Keltikangas-Järvinen, L. (Liisa), Siira, V. (Virva), Kähönen, M. (Mika), and Hintsanen, M. (Mirka)

Subjects
job demand control, animal structures, longitudinal, personality, compassion, effort-reward imbalance
Abstract

Dispositional compassion has been shown to predict higher well-being and to be associated with lower perceived stress and higher social support. Thus, compassion may be a potential individual factor protecting from job strain. The current study examines (i) whether dispositional compassion predicts job strain and effort-reward imbalance (ERI) or does the predictive relationship run from job strain and ERI to dispositional compassion and (ii) the effect of dispositional compassion on the developmental trajectory of job strain and ERI over a 11-year follow-up. We used data from the Young Finns study (n=723) between 2001 and 2012. The direction of the predictive relationships was analyzed with cross-lagged panel models. Compassion’s effect on the trajectories of job strain, ERI, and their components was examined with multilevel models. First, the cross-lagged panel models demonstrated there was no evidence for the predictive pathways between compassion and job strain or its components. However, the predictive pathways from high dispositional compassion to low ERI and high rewards had better fit to the data than the predictive pathways in the opposite direction. In addition, multilevel models showed that high compassion predicted various job characteristics from early adulthood to middle age (lower job strain and higher job control as well as lower ERI and higher reward). Compassion did not predict job demand/effort. The findings were obtained independently of age, gender, and socioeconomic factors in childhood and adulthood. These findings indicate that compassion may be beneficial in work context. Further, compassion might be useful in the management or prevention of some aspects of strain. Our study provides new insight about the role of compassion in work life.

Published
2021

35. Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline

Author

Gorski, M. (Mathias), Jung, B. (Bettina), Li, Y. (Yong), Matias-Garcia, P.R. (Pamela R.), Wuttke, M. (Matthias), Coassin, S. (Stefan), Thio, C.H.L. (Chris H.L.), Kleber, M.E. (Marcus E.), Winkler, T.W. (Thomas W.), Wanner, V. (Veronika), Chai, J.-F. (Jin-Fang), Chu, A.Y. (Audrey Y), Cocca, M. (Massimiliano), Feitosa, M.F. (Mary Furlan), Ghasemi, S. (Sahar), Hoppmann, A. (Anselm), Horn, K. (Katrin), Li, M. (Man), Nutile, T. (Teresa), Scholz, M. (Markus), Sieber, K.B. (Karsten B.), Teumer, A. (Alexander), Tin, A. (Adrienne), Wang, J. (Judy), Tayo, B. (Bamidele), Ahluwalia, T.S. (Tarunveer Singh), Almgren, P. (Peter), Bakker, S.J.L. (Stephan), Banas, B. (Bernhard), Bansal, N. (Nisha), Biggs, M.L. (M.), Boerwinkle, E.A. (Eric), Bottinger, E.P. (Erwin), Brenner, H. (Hermann), Carroll, R.J. (Robert J.), Chalmers, J. (John), Chee, M.-L. (Miao-Li), Chee, M.-L. (Miao-Ling), Cheng, C.-Y. (Ching-Yu), Coresh, J. (Josef), de Borst, M.H. (Martin H.), Degenhardt, F. (Frauke), Eckardt, K.-U. (Kai-Uwe), Endlich, K. (Karlhans), Franke, A. (Andre), Freitag-Wolf, S. (Sandra), Gampawar, P. (Piyush), Gansevoort, R.T. (Ron), Ghanbari, M. (Mohsen), Gieger, C. (Christian), Hamet, P. (Pavel), Ho, K. (Kevin), Hofer, E. (Edith), Holleczek, B. (B.), Xian Foo, V.H. (Valencia Hui), Hutri-Kähönen, N. (Nina), Hwang, S.-J. (Shih-Jen), Ikram, M.A. (Arfan), Josyula, N.S. (Navya Shilpa), Kähönen, M. (Mika), Khor, C.C., Koenig, W. (Wolfgang), Kramer, H. (Holly), Krämer, B.K. (Bernhard), Kuhnel, B. (Brigitte), Lange, L.A. (Leslie A.), Lehtimäki, T. (Terho), Lieb, W. (Wolfgang), Alizadeh, B.Z. (Behrooz), Boezen, H.M. (H. Marike), Franke, L. (Lude), van der Harst, P. (Pim), Matullo, G., Rots, M.G. (M.), Snieder, H. (Harold), Swertz, M. (Morris), Wolffenbuttel, B.H.R. (Bruce), Wijmenga, C. (Cisca), Abecasis, G.R. (Gonçalo), Baras, A. (Aris), Cantor, M. (Michael), Coppola, G. (Giovanni), Economides, A. (Aris), Lotta, L.A. (Luca A.), Overton, J.D. (John D.), Reid, J.G. (Jeffrey G.), Shuldiner, A. (Alan), Beechert, C. (Christina), Forsythe, C. (Caitlin), Fuller, E.D. (Erin D.), Gu, Z. (Zhenhua), Lattari, M. (Michael), Lopez, A. (Alexander), Schleicher, T.D. (Thomas D.), Padilla, M.S. (Maria Sotiropoulos), Toledo, K. (Karina), Widom, L. (Louis), Wolf, S.E. (Sarah E.), Pradhan, M. (Manasi), Manoochehri, K. (Kia), Ulloa, R.H. (Ricardo H.), Bai, X. (Xiaodong), Balasubramanian, S. (Suganthi), Barnard, L. (Leland), Blumenfeld, A. (Andrew), Eom, G. (Gisu), Habegger, L. (Lukas), Hawes, A. (Alicia), Khalid, S. (Shareef), Maxwell, E.K. (Evan K.), Salerno, W. (William), Staples, J.C. (Jeffrey C.), Jones, M.B. (Marcus B.), Mitnaul, L.J. (Lyndon), Loos, R.J.F. (Ruth J.F.), Lukas, M.A. (Mary Ann), Lyytikäinen, L.-P. (Leo-Pekka), Meisinger, C. (Christa), Meitinger, T. (Thomas), Melander, O. (Olle), Milaneschi, Y. (Yuri), Mishra, P.P. (Pashupati P.), Mononen, N. (Nina), Mychaleckyj, J.C. (Josyf), Nadkarni, G. (Girish), Nauck, M. (Matthias), Nikus, K. (Kjell), Ning, B. (Boting), Nolte, I.M. (Ilja), O'Donoghue, M.L. (Michelle L.), Orho-Melander, M. (Marju), Pendergrass, S.A. (Sarah), Penninx, B.W.J.H. (Brenda), Preuss, M. (Michael), Psaty, B.M. (Bruce M.), Raffield, L.M. (Laura M.), Raitakari, O. (Olli), Rettig, R. (Rainer), Rheinberger, M. (Myriam), Rice, K.M. (Kenneth M.), Rosenkranz, A.R. (Alexander R.), Rossing, K., Rotter, J.I. (Jerome I.), Sabanayagam, C. (Charumathi), Schmidt, H. (Helena), Schmidt, R. (Reinhold), Schöttker, B. (Ben), Schulz, C.A. (Christina Alexandra), Sedaghat, S. (Sanaz), Shaffer, C.M. (Christian M.), Strauch, K. (Konstantin), Szymczak, S. (Silke), Taylor, K.D. (Kent D.), Tremblay, J. (Johanne), Chaker, L. (Layal), Most, P.J. (Peter) van der, Verweij, N. (Niek), Völker, U. (Uwe), Waldenberger, M. (Melanie), Wallentin, L.C. (Lars), Waterworth, D.M. (Dawn M.), White, H.D. (Harvey), Wilson, J.G. (James G.), Wong, T.-Y. (Tien-Yin), Woodward, M. (Mark), Yang, Q. (Qiong), Yasuda, M. (Masayuki), Yerges-Armstrong, L.M. (Laura), Zhang, Y. (Yan), Wanner, C. (Christoph), Böger, C.A. (Carsten), Köttgen, A. (Anna), Kronenberg, F. (Florian), Penninx, B.W.J.H., Heid, I.M. (Iris), Gorski, M. (Mathias), Jung, B. (Bettina), Li, Y. (Yong), Matias-Garcia, P.R. (Pamela R.), Wuttke, M. (Matthias), Coassin, S. (Stefan), Thio, C.H.L. (Chris H.L.), Kleber, M.E. (Marcus E.), Winkler, T.W. (Thomas W.), Wanner, V. (Veronika), Chai, J.-F. (Jin-Fang), Chu, A.Y. (Audrey Y), Cocca, M. (Massimiliano), Feitosa, M.F. (Mary Furlan), Ghasemi, S. (Sahar), Hoppmann, A. (Anselm), Horn, K. (Katrin), Li, M. (Man), Nutile, T. (Teresa), Scholz, M. (Markus), Sieber, K.B. (Karsten B.), Teumer, A. (Alexander), Tin, A. (Adrienne), Wang, J. (Judy), Tayo, B. (Bamidele), Ahluwalia, T.S. (Tarunveer Singh), Almgren, P. (Peter), Bakker, S.J.L. (Stephan), Banas, B. (Bernhard), Bansal, N. (Nisha), Biggs, M.L. (M.), Boerwinkle, E.A. (Eric), Bottinger, E.P. (Erwin), Brenner, H. (Hermann), Carroll, R.J. (Robert J.), Chalmers, J. (John), Chee, M.-L. (Miao-Li), Chee, M.-L. (Miao-Ling), Cheng, C.-Y. (Ching-Yu), Coresh, J. (Josef), de Borst, M.H. (Martin H.), Degenhardt, F. (Frauke), Eckardt, K.-U. (Kai-Uwe), Endlich, K. (Karlhans), Franke, A. (Andre), Freitag-Wolf, S. (Sandra), Gampawar, P. (Piyush), Gansevoort, R.T. (Ron), Ghanbari, M. (Mohsen), Gieger, C. (Christian), Hamet, P. (Pavel), Ho, K. (Kevin), Hofer, E. (Edith), Holleczek, B. (B.), Xian Foo, V.H. (Valencia Hui), Hutri-Kähönen, N. (Nina), Hwang, S.-J. (Shih-Jen), Ikram, M.A. (Arfan), Josyula, N.S. (Navya Shilpa), Kähönen, M. (Mika), Khor, C.C., Koenig, W. (Wolfgang), Kramer, H. (Holly), Krämer, B.K. (Bernhard), Kuhnel, B. (Brigitte), Lange, L.A. (Leslie A.), Lehtimäki, T. (Terho), Lieb, W. (Wolfgang), Alizadeh, B.Z. (Behrooz), Boezen, H.M. (H. Marike), Franke, L. (Lude), van der Harst, P. (Pim), Matullo, G., Rots, M.G. (M.), Snieder, H. (Harold), Swertz, M. (Morris), Wolffenbuttel, B.H.R. (Bruce), Wijmenga, C. (Cisca), Abecasis, G.R. (Gonçalo), Baras, A. (Aris), Cantor, M. (Michael), Coppola, G. (Giovanni), Economides, A. (Aris), Lotta, L.A. (Luca A.), Overton, J.D. (John D.), Reid, J.G. (Jeffrey G.), Shuldiner, A. (Alan), Beechert, C. (Christina), Forsythe, C. (Caitlin), Fuller, E.D. (Erin D.), Gu, Z. (Zhenhua), Lattari, M. (Michael), Lopez, A. (Alexander), Schleicher, T.D. (Thomas D.), Padilla, M.S. (Maria Sotiropoulos), Toledo, K. (Karina), Widom, L. (Louis), Wolf, S.E. (Sarah E.), Pradhan, M. (Manasi), Manoochehri, K. (Kia), Ulloa, R.H. (Ricardo H.), Bai, X. (Xiaodong), Balasubramanian, S. (Suganthi), Barnard, L. (Leland), Blumenfeld, A. (Andrew), Eom, G. (Gisu), Habegger, L. (Lukas), Hawes, A. (Alicia), Khalid, S. (Shareef), Maxwell, E.K. (Evan K.), Salerno, W. (William), Staples, J.C. (Jeffrey C.), Jones, M.B. (Marcus B.), Mitnaul, L.J. (Lyndon), Loos, R.J.F. (Ruth J.F.), Lukas, M.A. (Mary Ann), Lyytikäinen, L.-P. (Leo-Pekka), Meisinger, C. (Christa), Meitinger, T. (Thomas), Melander, O. (Olle), Milaneschi, Y. (Yuri), Mishra, P.P. (Pashupati P.), Mononen, N. (Nina), Mychaleckyj, J.C. (Josyf), Nadkarni, G. (Girish), Nauck, M. (Matthias), Nikus, K. (Kjell), Ning, B. (Boting), Nolte, I.M. (Ilja), O'Donoghue, M.L. (Michelle L.), Orho-Melander, M. (Marju), Pendergrass, S.A. (Sarah), Penninx, B.W.J.H. (Brenda), Preuss, M. (Michael), Psaty, B.M. (Bruce M.), Raffield, L.M. (Laura M.), Raitakari, O. (Olli), Rettig, R. (Rainer), Rheinberger, M. (Myriam), Rice, K.M. (Kenneth M.), Rosenkranz, A.R. (Alexander R.), Rossing, K., Rotter, J.I. (Jerome I.), Sabanayagam, C. (Charumathi), Schmidt, H. (Helena), Schmidt, R. (Reinhold), Schöttker, B. (Ben), Schulz, C.A. (Christina Alexandra), Sedaghat, S. (Sanaz), Shaffer, C.M. (Christian M.), Strauch, K. (Konstantin), Szymczak, S. (Silke), Taylor, K.D. (Kent D.), Tremblay, J. (Johanne), Chaker, L. (Layal), Most, P.J. (Peter) van der, Verweij, N. (Niek), Völker, U. (Uwe), Waldenberger, M. (Melanie), Wallentin, L.C. (Lars), Waterworth, D.M. (Dawn M.), White, H.D. (Harvey), Wilson, J.G. (James G.), Wong, T.-Y. (Tien-Yin), Woodward, M. (Mark), Yang, Q. (Qiong), Yasuda, M. (Masayuki), Yerges-Armstrong, L.M. (Laura), Zhang, Y. (Yan), Wanner, C. (Christoph), Böger, C.A. (Carsten), Köttgen, A. (Anna), Kronenberg, F. (Florian), Penninx, B.W.J.H., and Heid, I.M. (Iris)

Abstract

Rapid decline of glomerular filtration rate estimated from creatinine (eGFRcrea) is associated with severe clinical endpoints. In contrast to cross-sectionally assessed eGFRcrea, the genetic basis for rapid eGFRcrea decline is largely unknown. To help define this, we meta-analyzed 42 genome-wide association studies from the Chronic Kidney Diseases Genetics Consortium and United Kingdom Biobank to identify genetic loci for rapid eGFRcrea decline. Two definitions of eGFRcrea decline were used: 3 mL/min/1.73m2/year or more (“Rapid3”; encompassing 34,874 cases, 107,090 controls) and eGFRcrea decline 25% or more and eGFRcrea under 60 mL/min/1.73m2 at follow-up among those with eGFRcrea 60 mL/min/1.73m2 or more at baseline (“CKDi25”; encompassing 19,901 cases, 175,244 controls). Seven independent variants were identified across six loci for Rapid3 and/or CKDi25: consisting of five variants at four loci with genome-wide significance (near UMOD-PDILT (2), PRKAG2, WDR72, OR2S2) and two variants among 265 known eGFRcrea variants (near GATM, LARP4B). All these loci were novel for Rapid3 and/or CKDi25 and our bioinformatic follow-up prioritized varia

Published
2021
Full Text
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36. Meta-analysis uncovers genome-wide significant variants for rapid kidney function decline

Author

Gorski, M, Jung, B, Li, Y, Matias-Garcia, PR, Wuttke, M, Coassin, S, Thio, CHL, Kleber, ME, Winkler, TW, Wanner, V, Chai, JF, Chu, AY, Cocca, M, Feitosa, MF, Ghasemi, S, Hoppmann, A, Horn, K, Li, M, Nutile, T, Scholz, M, Sieber, KB, Teumer, A, Tin, A, Wang, J, Tayo, BO, Ahluwalia, TS, Almgren, P, Bakker, SJL, Banas, B, Bansal, N, Biggs, ML, Boerwinkle, E, Bottinger, EP, Brenner, H, Carroll, RJ, Chalmers, J, Chee, ML, Cheng, CY, Coresh, J, de Borst, MH, Degenhardt, F, Eckardt, KU, Endlich, K, Franke, A, Freitag-Wolf, S, Gampawar, P, Gansevoort, RT, Ghanbari, M, Gieger, C, Hamet, P, Ho, K, Hofer, E, Holleczek, B, Xian Foo, VH, Hutri-Kähönen, N, Hwang, SJ, Ikram, MA, Josyula, NS, Kähönen, M, Khor, CC, Koenig, W, Kramer, H, Krämer, BK, Kühnel, B, Lange, LA, Lehtimäki, T, Lieb, W, Alizadeh, BZ, Boezen, HM, Franke, L, van der Harst, P, Navis, G, Rots, M, Snieder, H, Swertz, M, Wolffenbuttel, BHR, Wijmenga, C, Abecasis, G, Baras, A, Cantor, M, Coppola, G, Economides, A, Lotta, LA, Overton, JD, Reid, JG, Shuldiner, A, Beechert, C, Forsythe, C, Fuller, ED, Gu, Z, Lattari, M, Lopez, A, Schleicher, TD, Padilla, MS, Toledo, K, Widom, L, Wolf, SE, Pradhan, M, Manoochehri, K, Gorski, M, Jung, B, Li, Y, Matias-Garcia, PR, Wuttke, M, Coassin, S, Thio, CHL, Kleber, ME, Winkler, TW, Wanner, V, Chai, JF, Chu, AY, Cocca, M, Feitosa, MF, Ghasemi, S, Hoppmann, A, Horn, K, Li, M, Nutile, T, Scholz, M, Sieber, KB, Teumer, A, Tin, A, Wang, J, Tayo, BO, Ahluwalia, TS, Almgren, P, Bakker, SJL, Banas, B, Bansal, N, Biggs, ML, Boerwinkle, E, Bottinger, EP, Brenner, H, Carroll, RJ, Chalmers, J, Chee, ML, Cheng, CY, Coresh, J, de Borst, MH, Degenhardt, F, Eckardt, KU, Endlich, K, Franke, A, Freitag-Wolf, S, Gampawar, P, Gansevoort, RT, Ghanbari, M, Gieger, C, Hamet, P, Ho, K, Hofer, E, Holleczek, B, Xian Foo, VH, Hutri-Kähönen, N, Hwang, SJ, Ikram, MA, Josyula, NS, Kähönen, M, Khor, CC, Koenig, W, Kramer, H, Krämer, BK, Kühnel, B, Lange, LA, Lehtimäki, T, Lieb, W, Alizadeh, BZ, Boezen, HM, Franke, L, van der Harst, P, Navis, G, Rots, M, Snieder, H, Swertz, M, Wolffenbuttel, BHR, Wijmenga, C, Abecasis, G, Baras, A, Cantor, M, Coppola, G, Economides, A, Lotta, LA, Overton, JD, Reid, JG, Shuldiner, A, Beechert, C, Forsythe, C, Fuller, ED, Gu, Z, Lattari, M, Lopez, A, Schleicher, TD, Padilla, MS, Toledo, K, Widom, L, Wolf, SE, Pradhan, M, and Manoochehri, K

Abstract

Rapid decline of glomerular filtration rate estimated from creatinine (eGFRcrea) is associated with severe clinical endpoints. In contrast to cross-sectionally assessed eGFRcrea, the genetic basis for rapid eGFRcrea decline is largely unknown. To help define this, we meta-analyzed 42 genome-wide association studies from the Chronic Kidney Diseases Genetics Consortium and United Kingdom Biobank to identify genetic loci for rapid eGFRcrea decline. Two definitions of eGFRcrea decline were used: 3 mL/min/1.73m2/year or more (“Rapid3”; encompassing 34,874 cases, 107,090 controls) and eGFRcrea decline 25% or more and eGFRcrea under 60 mL/min/1.73m2 at follow-up among those with eGFRcrea 60 mL/min/1.73m2 or more at baseline (“CKDi25”; encompassing 19,901 cases, 175,244 controls). Seven independent variants were identified across six loci for Rapid3 and/or CKDi25: consisting of five variants at four loci with genome-wide significance (near UMOD-PDILT (2), PRKAG2, WDR72, OR2S2) and two variants among 265 known eGFRcrea variants (near GATM, LARP4B). All these loci were novel for Rapid3 and/or CKDi25 and our bioinformatic follow-up prioritized variants and genes underneath these loci. The OR2S2 locus is novel for any eGFRcrea trait including interesting candidates. For the five genome-wide significant lead variants, we found supporting effects for annual change in blood urea nitrogen or cystatin-based eGFR, but not for GATM or LARP4B. Individuals at high compared to those at low genetic risk (8-14 vs. 0-5 adverse alleles) had a 1.20-fold increased risk of acute kidney injury (95% confidence interval 1.08-1.33). Thus, our identified loci for rapid kidney function decline may help prioritize therapeutic targets and identify mechanisms and individuals at risk for sustained deterioration of kidney function.

Published
2021

37. Variants associated with HHIP expression have sexdifferential effects on lung function

Author

Fawcett, KA, Obeidat, M, Melbourne, C, Shrine, N, Guyatt, AL, John, C, Luan, J, Richmond, A, Moksnes, MR, Granell, R, Weiss, S, Imboden, M, May-Wilson, S, Hysi, P, Boutin, TS, Portas, L, Flexeder, C, Harris, SE, Wang, CA, Lyytikäinen, LP, Palviainen, T, Foong, RE, Keidel, D, Minelli, C, Langenberg, C, Bossé, Y, Berge, MVD, Sin, DD, Hao, K, Campbell, A, Porteous, D, Padmanabhan, S, Smith, BH, Evans, DM, Ring, S, Langhammer, A, Hveem, K, Willer, C, Ewert, R, Stubbe, B, Pirastu, N, Klaric, L, Joshi, PK, Patasova, K, Massimo, M, Polasek, O, Starr, JM, Karrasch, S, Strauch, K, Meitinger, T, Rudan, I, Rantanen, T, Pietiläinen, K, Kähönen, M, Raitakari, OT, Hall, GL, Sly, Peter, Pennell, CE, Kaprio, J, Lehtimäki, T, Vitart, V, Deary, IJ, Jarvis, D, Wilson, JF, Spector, T, Probst-Hensch, N, Wareham, NJ, Völzke, H, Henderson, J, Strachan, DP, Brumpton, BM, Hayward, C, Hall, IP, Tobin, MD, Wain, LV, Fawcett, KA, Obeidat, M, Melbourne, C, Shrine, N, Guyatt, AL, John, C, Luan, J, Richmond, A, Moksnes, MR, Granell, R, Weiss, S, Imboden, M, May-Wilson, S, Hysi, P, Boutin, TS, Portas, L, Flexeder, C, Harris, SE, Wang, CA, Lyytikäinen, LP, Palviainen, T, Foong, RE, Keidel, D, Minelli, C, Langenberg, C, Bossé, Y, Berge, MVD, Sin, DD, Hao, K, Campbell, A, Porteous, D, Padmanabhan, S, Smith, BH, Evans, DM, Ring, S, Langhammer, A, Hveem, K, Willer, C, Ewert, R, Stubbe, B, Pirastu, N, Klaric, L, Joshi, PK, Patasova, K, Massimo, M, Polasek, O, Starr, JM, Karrasch, S, Strauch, K, Meitinger, T, Rudan, I, Rantanen, T, Pietiläinen, K, Kähönen, M, Raitakari, OT, Hall, GL, Sly, Peter, Pennell, CE, Kaprio, J, Lehtimäki, T, Vitart, V, Deary, IJ, Jarvis, D, Wilson, JF, Spector, T, Probst-Hensch, N, Wareham, NJ, Völzke, H, Henderson, J, Strachan, DP, Brumpton, BM, Hayward, C, Hall, IP, Tobin, MD, and Wain, LV

Published
2021

38. The associations of oxidized lipoprotein lipids with lipoprotein subclass particle concentrations and their lipid compositions:the Cardiovascular Risk in Young Finns Study

Author

Kresanov, P. (Petri), Mykkänen, J. (Juha), Ahotupa, M. (Markku), Ala-Korpela, M. (Mika), Juonala, M. (Markus), Kaikkonen, J. (Jari), Kähönen, M. (Mika), Lehtimäki, T. (Terho), Vasankari, T. (Tommi), Viikari, J. (Jorma), Raitakari, O. T. (Olli T.), Kresanov, P. (Petri), Mykkänen, J. (Juha), Ahotupa, M. (Markku), Ala-Korpela, M. (Mika), Juonala, M. (Markus), Kaikkonen, J. (Jari), Kähönen, M. (Mika), Lehtimäki, T. (Terho), Vasankari, T. (Tommi), Viikari, J. (Jorma), and Raitakari, O. T. (Olli T.)

Abstract

Objective: Oxidation of low-density lipoprotein (LDL) may promote atherosclerosis, whereas the reverse transport of oxidized lipids by high-density lipoprotein (HDL) may contribute to atheroprotection. To provide insights into the associations of lipoprotein lipid oxidation markers with lipoprotein subclasses at the population level, we investigated the associations of oxidized HDL lipids (oxHDLlipids) and oxidized LDL lipids (oxLDLlipids) with lipoprotein subclasses in a population-based cross-sectional study of 1395 Finnish adults ages 24–39 years. Methods: The analysis of oxidized lipids was based on the determination of the baseline level of conjugated dienes in lipoprotein lipids. A high-throughput nuclear magnetic resonance (NMR) platform was used to quantify circulating lipoprotein subclass concentrations and analyze their lipid compositions. Results: OxHDLlipids were mainly not associated with lipoprotein subclass lipid concentrations and lipid composition after adjustment for Apolipoprotein-A1 (Apo-A1), waist circumference and age. OxLDLlipids were associated with several markers of lipoprotein subclass lipid concentrations and composition after adjustment for Apolipoprotein-B (Apo-B), age and waist circumference. Several measures of HDL and LDL subclasses, including phospholipid and triglyceride composition, associated directly with oxLDLlipids. Cholesterol ester and free cholesterol composition in HDL and LDL associated inversely with oxLDLlipids. Conclusions: We conclude that these results do not support the idea that HDL’s particle size or composition would reflect its functional capacity in the reverse transport of oxidized lipids. On the contrary, oxLDLlipids were associated with the entire lipoprotein subclass profile, including numerous associations with the compositional descriptors of the particles. This is in line with the suggested role of LDL oxidation in atherogenesis.

Published
2021

39. Association between number of siblings and cardiovascular risk factors in childhood and in adulthood:the Cardiovascular Risk in Young Finns Study

Author

Pihlman, J. (Jukka), Magnussen, C. G. (Costan G.), Rovio, S. P. (Suvi P.), Pahkala, K. (Katja), Jokinen, E. (Eero), Laitinen, T. P. (Tomi P.), Hutri-Kähönen, N. (Nina), Tossavainen, P. (Päivi), Taittonen, L. (Leena), Kähönen, M. (Mika), Viikari, J. S. (Jorma S. A.), Raitakari, O. T. (Olli T.), Juonala, M. (Markus), Nuotio, J. (Joel), Pihlman, J. (Jukka), Magnussen, C. G. (Costan G.), Rovio, S. P. (Suvi P.), Pahkala, K. (Katja), Jokinen, E. (Eero), Laitinen, T. P. (Tomi P.), Hutri-Kähönen, N. (Nina), Tossavainen, P. (Päivi), Taittonen, L. (Leena), Kähönen, M. (Mika), Viikari, J. S. (Jorma S. A.), Raitakari, O. T. (Olli T.), Juonala, M. (Markus), and Nuotio, J. (Joel)

Abstract

Objective: To determine the association of number of siblings on cardiovascular risk factors in childhood and in adulthood. Study design: In total, 3554 participants (51% female) from the Cardiovascular Risk in Young Finns Study with cardiovascular disease risk factor data at baseline 1980 (age 3–18 years) and 2491 participants with longitudinal risk factor data at the 2011 follow-up. Participants were categorized by number of siblings at baseline (0, 1, or more than 1). Risk factors (body mass index, physical activity, hypertension, dyslipidemia, and overweight, and metabolic syndrome) in childhood and in adulthood were used as outcomes. Analyses were adjusted for age and sex. Results: In childhood, participants without siblings had higher body mass index (18.2 kg/m², 95% CI 18.0-18.3) than those with 1 sibling (17.9 kg/m², 95% CI 17.8-18.0) or more than 1 sibling (17.8 kg/m², 95% CI 17.7-17.9). Childhood physical activity index was lower among participants without siblings (SD -0.08, 95% CI -0.16-0.00) compared with participants with 1 sibling (SD 0.06, 95%CI 0.01-0.11) or more than 1 sibling (SD -0.02, 95% CI -0.07-0.03). OR for adulthood hypertension was lower among participants with 1 sibling (OR 0.73, 95% CI 0.54-0.98) and more than 1 sibling (OR 0.71, 95% CI 0.52-0.97) compared with participants with no siblings. OR for obesity was lower among participants with 1 sibling (OR 0.72, 95% CI 0.54-0.95) and more than 1 sibling (OR 0.75, 95% CI 0.56-1.01) compared with those with no siblings. Conclusions: Children without siblings had poorer cardiovascular risk factor levels in childhood and in adulthood. The number of siblings could help identify individuals at increased risk that might benefit from early intervention.

Published
2021

40. Systematic evaluation of the association between hemoglobin levels and metabolic profile implicates beneficial effects of hypoxia

Author

Auvinen, J. (Juha), Tapio, J. (Joona), Karhunen, V. (Ville), Kettunen, J. (Johannes), Serpi, R. (Raisa), Dimova, E. Y. (Elitsa Y.), Gill, D. (Dipender), Soininen, P. (Pasi), Tammelin, T. (Tuija), Mykkänen, J. (Juha), Puukka, K. (Katri), Kähönen, M. (Mika), Raitoharju, E. (Emma), Lehtimäki, T. (Terho), Ala-Korpela, M. (Mika), Raitakari, O. T. (Olli T.), Keinänen-Kiukaanniemi, S. (Sirkka), Järvelin, M.-R. (Marjo-Riitta), Koivunen, P. (Peppi), Auvinen, J. (Juha), Tapio, J. (Joona), Karhunen, V. (Ville), Kettunen, J. (Johannes), Serpi, R. (Raisa), Dimova, E. Y. (Elitsa Y.), Gill, D. (Dipender), Soininen, P. (Pasi), Tammelin, T. (Tuija), Mykkänen, J. (Juha), Puukka, K. (Katri), Kähönen, M. (Mika), Raitoharju, E. (Emma), Lehtimäki, T. (Terho), Ala-Korpela, M. (Mika), Raitakari, O. T. (Olli T.), Keinänen-Kiukaanniemi, S. (Sirkka), Järvelin, M.-R. (Marjo-Riitta), and Koivunen, P. (Peppi)

Abstract

Activation of the hypoxia-inducible factor (HIF) pathway reprograms energy metabolism. Hemoglobin (Hb) is the main carrier of oxygen. Using its normal variation as a surrogate measure for hypoxia, we explored whether lower Hb levels could lead to healthier metabolic profiles in mice and humans (nn = 7175) and used Mendelian randomization (MR) to evaluate potential causality (n = 173,480). The results showed evidence for lower Hb levels being associated with lower body mass index, better glucose tolerance and other metabolic profiles, lower inflammatory load, and blood pressure. Expression of the key HIF target genes SLC2A4 and Slc2a1 in skeletal muscle and adipose tissue, respectively, associated with systolic blood pressure in MR analyses and body weight, liver weight, and adiposity in mice. Last, manipulation of murine Hb levels mediated changes to key metabolic parameters. In conclusion, low-end normal Hb levels may be favorable for metabolic health involving mild chronic activation of the HIF response.

Published
2021

41. Adulthood blood levels of hsa-miR-29b-3p associate with preterm birth and adult metabolic and cognitive health

Author

Marttila, S. (Saara), Rovio, S. (Suvi), Mishra, P. P. (Pashupati P.), Seppälä, I. (Ilkka), Lyytikäinen, L.-P. (Leo-Pekka), Juonala, M. (Markus), Waldenberger, M. (Melanie), Oksala, N. (Niku), Ala-Korpela, M. (Mika), Harville, E. (Emily), Hutri-Kähönen, N. (Nina), Kähönen, M. (Mika), Raitakari, O. (Olli), Lehtimäki, T. (Terho), Raitoharju, E. (Emma), Marttila, S. (Saara), Rovio, S. (Suvi), Mishra, P. P. (Pashupati P.), Seppälä, I. (Ilkka), Lyytikäinen, L.-P. (Leo-Pekka), Juonala, M. (Markus), Waldenberger, M. (Melanie), Oksala, N. (Niku), Ala-Korpela, M. (Mika), Harville, E. (Emily), Hutri-Kähönen, N. (Nina), Kähönen, M. (Mika), Raitakari, O. (Olli), Lehtimäki, T. (Terho), and Raitoharju, E. (Emma)

Abstract

Preterm birth (PTB) is associated with increased risk of type 2 diabetes and neurocognitive impairment later in life. We analyzed for the first time the associations of PTB with blood miRNA levels in adulthood. We also investigated the relationship of PTB associated miRNAs and adulthood phenotypes previously linked with premature birth. Blood MicroRNA profiling, genome-wide gene expression analysis, computer-based cognitive testing battery (CANTAB) and serum NMR metabolomics were performed for Young Finns Study subjects (aged 34–49 years, full-term n = 682, preterm n = 84). Preterm birth (vs. full-term) was associated with adulthood levels of hsa-miR-29b-3p in a fully adjusted regression model (p = 1.90 × 10–4, FDR = 0.046). The levels of hsa-miR-29b-3p were down-regulated in subjects with PTB with appropriate birthweight for gestational age (p = 0.002, fold change [FC] = − 1.20) and specifically in PTB subjects with small birthweight for gestational age (p = 0.095, FC = − 1.39) in comparison to individuals born full term. Hsa-miR-29b-3p levels correlated with the expressions of its target-mRNAs BCL11A and CS and the gene set analysis results indicated a target-mRNA driven association between hsa-miR-29b-3p levels and Alzheimer’s disease, Parkinson’s disease, Insulin signaling and Regulation of Actin Cytoskeleton pathway expression. The level of hsa-miR-29b-3p was directly associated with visual processing and sustained attention in CANTAB test and inversely associated with serum levels of VLDL subclass component and triglyceride levels. In conlcusion, adult blood levels of hsa-miR-29b-3p were lower in subjects born preterm. Hsa-miR-29b-3p associated with cognitive function and may be linked with adulthood morbidities in subjects born preterm, possibly through regulation of gene sets related to neurodegenerative diseases and insulin signaling as well as VLDL and triglyceride metabolism.

Published
2021

42. Influence of early-life body mass index and systolic blood pressure on left ventricle in adulthood:the Cardiovascular Risk in Young Finns Study

Author

Heiskanen, J. S. (Jarkko S.), Hernesniemi, J. A. (Jussi A.), Ruohonen, S. (Saku), Hutri-Kähönen, N. (Nina), Kähönen, M. (Mika), Jokinen, E. (Eero), Tossavainen, P. (Päivi), Kallio, M. (Merja), Laitinen, T. (Tomi), Lehtimäki, T. (Terho), Viikari, J. (Jorma), Juonala, M. (Markus), Nevalainen, J. (Jaakko), Raitakari, O. T. (Olli T.), Heiskanen, J. S. (Jarkko S.), Hernesniemi, J. A. (Jussi A.), Ruohonen, S. (Saku), Hutri-Kähönen, N. (Nina), Kähönen, M. (Mika), Jokinen, E. (Eero), Tossavainen, P. (Päivi), Kallio, M. (Merja), Laitinen, T. (Tomi), Lehtimäki, T. (Terho), Viikari, J. (Jorma), Juonala, M. (Markus), Nevalainen, J. (Jaakko), and Raitakari, O. T. (Olli T.)

Abstract

Background: Increased left ventricular mass (LVM) predicts cardiovascular events and mortality. The objective of this study was to determine whether early-life exposures to body mass index (BMI) and systolic blood pressure (SPB) affects the left ventricular structure in adulthood. Methods: We used longitudinal data from a 31-year follow-up to examine the associations between early-life (between ages 6–18) BMI and SPB on LVM in an adult population (N = 1864, aged 34–49). The burden of early-life BMI and SBP was defined as area under the curve. Results: After accounting for contemporary adult determinants of LVM, early-life BMI burden associated significantly with LVM (3.61 g/SD increase in early-life BMI; [1.94 − 5.28], p < 0.001). Overweight in early-life (age- and sex-specific BMI values corresponding to adult BMI > 25 kg/m²) associated with 4.7% (2.5–6.9%, p < 0.0001) higher LVM regardless of BMI status in adulthood. Overweight in early-life combined with obesity in adulthood (BMI > 30kg/m²) resulted in a 21% (17.3–32.9%, p < 0.0001) increase in LVM. Higher early-life BMI was associated with a risk of developing eccentric hypertrophy. The burden of early-life SPB was not associated with adult LVM or left ventricular remodeling. Conclusions: High BMI in early-life confers a sustained effect on LVM and the risk for eccentric hypertrophy independently of adulthood risk factors.

Published
2021

43. Metabolic profiles of socio-economic position:a multi-cohort analysis

Author

Robinson, O. (Oliver), Carter, A. R. (Alice R.), Ala-Korpela, M. (Mika), Casas, J. P. (Juan P.), Chaturvedi, N. (Nishi), Engmann, J. (Jorgen), Howe, L. D. (Laura D.), Hughes, A. D. (Alun D.), Järvelin, M.-R. (Marjo-Riitta), Kähönen, M. (Mika), Karhunen, V. (Ville), Kuh, D. (Diana), Shah, T. (Tina), Ben-Shlomo, Y. (Yoav), Sofat, R. (Reecha), Lau, C. E. (Chung-Ho E.), Lehtimäki, T. (Terho), Menon, U. (Usha), Raitakari, O. (Olli), Ryan, A. (Andy), Providencia, R. (Rui), Smith, S. (Stephanie), Taylor, J. (Julie), Tillin, T. (Therese), Viikari, J. (Jorma), Wong, A. (Andrew), Hingorani, A. D. (Aroon D.), Kivimäki, M. (Mika), Vineis, P. (Paolo), Robinson, O. (Oliver), Carter, A. R. (Alice R.), Ala-Korpela, M. (Mika), Casas, J. P. (Juan P.), Chaturvedi, N. (Nishi), Engmann, J. (Jorgen), Howe, L. D. (Laura D.), Hughes, A. D. (Alun D.), Järvelin, M.-R. (Marjo-Riitta), Kähönen, M. (Mika), Karhunen, V. (Ville), Kuh, D. (Diana), Shah, T. (Tina), Ben-Shlomo, Y. (Yoav), Sofat, R. (Reecha), Lau, C. E. (Chung-Ho E.), Lehtimäki, T. (Terho), Menon, U. (Usha), Raitakari, O. (Olli), Ryan, A. (Andy), Providencia, R. (Rui), Smith, S. (Stephanie), Taylor, J. (Julie), Tillin, T. (Therese), Viikari, J. (Jorma), Wong, A. (Andrew), Hingorani, A. D. (Aroon D.), Kivimäki, M. (Mika), and Vineis, P. (Paolo)

Abstract

Background: Low socio-economic position (SEP) is a risk factor for multiple health outcomes, but its molecular imprints in the body remain unclear. Methods: We examined SEP as a determinant of serum nuclear magnetic resonance metabolic profiles in ∼30 000 adults and 4000 children across 10 UK and Finnish cohort studies. Results: In risk-factor-adjusted analysis of 233 metabolic measures, low educational attainment was associated with 37 measures including higher levels of triglycerides in small high-density lipoproteins (HDL) and lower levels of docosahexaenoic acid (DHA), omega-3 fatty acids, apolipoprotein A1, large and very large HDL particles (including levels of their respective lipid constituents) and cholesterol measures across different density lipoproteins. Among adults whose father worked in manual occupations, associations with apolipoprotein A1, large and very large HDL particles and HDL-2 cholesterol remained after adjustment for SEP in later life. Among manual workers, levels of glutamine were higher compared with non-manual workers. All three indicators of low SEP were associated with lower DHA, omega-3 fatty acids and HDL diameter. At all ages, children of manual workers had lower levels of DHA as a proportion of total fatty acids. Conclusions: Our work indicates that social and economic factors have a measurable impact on human physiology. Lower SEP was independently associated with a generally unfavourable metabolic profile, consistent across ages and cohorts. The metabolites we found to be associated with SEP, including DHA, are known to predict cardiovascular disease and cognitive decline in later life and may contribute to health inequalities.

Published
2021

44. The role of inflammatory cytokines as intermediates in the pathway from increased adiposity to disease

Author

Kalaoja, M. (Marita), Corbin, L. J. (Laura J.), Tan, V. Y. (Vanessa Y.), Ahola‐Olli, A. V. (Ari V.), Havulinna, A. S. (Aki S.), Santalahti, K. (Kristiina), Pitkänen, N. (Niina), Lehtimäki, T. (Terho), Lyytikäinen, L. (Leo‐Pekka), Raitoharju, E. (Emma), Seppälä, I. (Ilkka), Kähönen, M. (Mika), Ripatti, S. (Samuli), Palotie, A. (Aarno), Perola, M. (Markus), Viikari, J. S. (Jorma S.), Jalkanen, S. (Sirpa), Maksimow, M. (Mikael), Salomaa, V. (Veikko), Salmi, M. (Marko), Raitakari, O. T. (Olli T.), Kettunen, J. (Johannes), Timpson, N. J. (Nicholas J.), Kalaoja, M. (Marita), Corbin, L. J. (Laura J.), Tan, V. Y. (Vanessa Y.), Ahola‐Olli, A. V. (Ari V.), Havulinna, A. S. (Aki S.), Santalahti, K. (Kristiina), Pitkänen, N. (Niina), Lehtimäki, T. (Terho), Lyytikäinen, L. (Leo‐Pekka), Raitoharju, E. (Emma), Seppälä, I. (Ilkka), Kähönen, M. (Mika), Ripatti, S. (Samuli), Palotie, A. (Aarno), Perola, M. (Markus), Viikari, J. S. (Jorma S.), Jalkanen, S. (Sirpa), Maksimow, M. (Mikael), Salomaa, V. (Veikko), Salmi, M. (Marko), Raitakari, O. T. (Olli T.), Kettunen, J. (Johannes), and Timpson, N. J. (Nicholas J.)

Abstract

Objective: This study aimed to investigate the role of cytokines as intermediates in the pathway from increased adiposity to disease. Methods: BMI and circulating levels of up to 41 cytokines were measured in individuals from three Finnish cohort studies (n = 8,293). Mendelian randomization (MR) was used to assess the impact of BMI on circulating cytokines and the impact of BMI‐driven cytokines on risk of obesity‐related diseases. Results: Observationally, BMI was associated with 19 cytokines. For every SD increase in BMI, causal effect estimates were strongest for hepatocyte growth factor, monocyte chemotactic protein‐1 (MCP‐1), and tumor necrosis factor–related apoptosis‐inducing ligand (TRAIL) and were as ratios of geometric means 1.13 (95% CI: 1.08‐1.19), 1.08 (95% CI: 1.04‐1.14), and 1.13 (95% CI: 1.04‐1.21), respectively. TRAIL was associated with a small increase in the odds of coronary artery disease (odds ratio: 1.03; 95% CI: 1.00‐1.06). There was inconsistent evidence for a protective role of MCP‐1 against inflammatory bowel diseases. Conclusions: Observational and MR estimates of the effect of BMI on cytokine levels were generally concordant. There was little evidence for an effect of raised levels of BMI‐driven cytokines on disease. These findings illustrate the challenges of MR when applied in the context of molecular mediation.

Published
2021

47. Childhood Exposure to Parental Smoking and Midlife Cognitive Function The Young Finns Study

Author

Rovio, S. P. (Suvi P.), Pihlman, J. (Jukka), Pahkala, K. (Katja), Juonala, M. (Markus), Magnussen, C. G. (Costan G.), Pitkänen, N. (Niina), Ahola-Olli, A. (Ari), Salo, P. (Pia), Kähönen, M. (Mika), Hutri-Kähönen, N. (Nina), Lehtimäki, T. (Terho), Jokinen, E. (Eero), Laitinen, T. (Tomi), Taittonen, L. (Leena), Tossavainen, P. (Päivi), Viikari, J. S. (Jorma S. A.), Raitakari, O. T. (Olli T.), Institute for Molecular Medicine Finland, Genomics of Neurological and Neuropsychiatric Disorders, University of Helsinki, HUS Children and Adolescents, Lastentautien yksikkö, and Children's Hospital

Subjects
SECONDHAND SMOKE, parental smoking, passive smoking, NICOTINE EXPOSURE, Cambridge Neuropsychological Test Automated Battery, ADULTHOOD, PERFORMANCE, 3142 Public health care science, environmental and occupational health, COTININE, AGE, CIGARETTE-SMOKE, SELF-REPORTED SMOKING, CARDIOVASCULAR RISK-FACTORS, OXIDATIVE STRESS, tobacco smoke, cognitive function, secondhand smoke
Abstract

We studied whether exposure to parental smoking in childhood/adolescence is associated with midlife cognitive function, leveraging data from the Cardiovascular Risk in Young Finns Study. A population-based cohort of 3,596 children/adolescents aged 3–18 years was followed between 1980 and 2011. In 2011, cognitive testing was performed on 2,026 participants aged 34–49 years using computerized testing. Measures of secondhand smoke exposure in childhood/adolescence consisted of parental self-reports of smoking and participants’ serum cotinine levels. Participants were classified into 3 exposure groups: 1) no exposure (nonsmoking parents, cotinine

Published
2020

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