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Metabolic Signatures of Adiposity in Young Adults: Mendelian Randomization Analysis and Effects of Weight Change
Open accessAbstract
BACKGROUND: Increased adiposity is linked with higher risk for cardiometabolic diseases. We aimed to determine to what extent elevated body mass index (BMI) within the normal weight range has causal effects on the detailed systemic metabolite profile in early adulthood. METHODS AND FINDINGS: We used Mendelian randomization to estimate causal effects of BMI on 82 metabolic measures in 12,664 adolescents and young adults from four population-based cohorts in Finland (mean age 26 y, range 16-39 y; 51% women; mean ± standard deviation BMI 24 ± 4 kg/m(2)). Circulating metabolites were quantified by high-throughput nuclear magnetic resonance metabolomics and biochemical assays. In cross-sectional analyses, elevated BMI was adversely associated with cardiometabolic risk markers throughout the systemic metabolite profile, including lipoprotein subclasses, fatty acid composition, amino acids, inflammatory markers, and various hormones (p<0.0005 for 68 measures). Metabolite associations with BMI were generally stronger for men than for women (median 136%, interquartile range 125%-183%). A gene score for predisposition to elevated BMI, composed of 32 established genetic correlates, was used as the instrument to assess causality. Causal effects of elevated BMI closely matched observational estimates (correspondence 87% ± 3%; R(2)= 0.89), suggesting causative influences of adiposity on the levels of numerous metabolites (p<0.0005 for 24 measures), including lipoprotein lipid subclasses and particle size, branched-chain and aromatic amino acids, and inflammation-related glycoprotein acetyls. Causal analyses of certain metabolites and potential sex differences warrant stronger statistical power. Metabolite changes associated with change in BMI during 6 y of follow-up were examined for 1,488 individuals. Change in BMI was accompanied by widespread metabolite changes, which had an association pattern similar to that of the cross-sectional observations, yet with greater metabolic effects (correspondence 160% ± 2%; R(2) = 0.92). CONCLUSIONS: Mendelian randomization indicates causal adverse effects of increased adiposity with multiple cardiometabolic risk markers across the metabolite profile in adolescents and young adults within the non-obese weight range. Consistent with the causal influences of adiposity, weight changes were paralleled by extensive metabolic changes, suggesting a broadly modifiable systemic metabolite profile in early adulthood. Please see later in the article for the Editors' Summary.
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Ng, M., Fleming, T., Robinson, M., Thomson, B., Graetz, N., Margono, C., Mullany, E. C., Biryukov, S., Abbafati, C., Abera, S. F., et al. (2014) · The Lancet · doi:10.1016/s0140-6736(14)60460-8 · Cited by 11,952
Tuomilehto, J., Lindström, J., Eriksson, J. G., Valle, T. T., Hämäläinen, H., Ilanne-Parikka, P., Keinänen-Kiukaanniemi, S., Laakso, M., Louheranta, A., Rastas, M., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200105033441801 · Cited by 10,873 · cited 1×
“Intervention trials have shown favorable effects of weight reduction on cardiovascular risk factors [5,18,19].”
BackgroundGenetics of Food Intake Self-Regulation in Childhood: Literature Review and Research Opportunities
Faith, M. S., Carnell, S., & Kral, T. V. E. (2013) · Human Heredity · doi:10.1159/000353879 · Cited by 7,633
Davey Smith, G., & Ebrahim, S. (2003) · International Journal of Epidemiology · doi:10.1093/ije/dyg070 · Cited by 5,882
Prospective Studies Collaboration (2009) · The Lancet · doi:10.1016/s0140-6736(09)60318-4 · Cited by 4,807
Mendelian randomization: genetic anchors for causal inference in epidemiological studies
Davey Smith, G., & Hemani, G. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu328 · Cited by 4,677
Self-citationMendelian randomization: Using genes as instruments for making causal inferences in epidemiology
Lawlor, D. A., Harbord, R. M., Sterne, J. A. C., Timpson, N., & Davey Smith, G. (2008) · Statistics in Medicine · doi:10.1002/sim.3034 · Cited by 4,618
Self-citationAbdominal obesity and metabolic syndrome
Després, J.-P., & Lemieux, I. (2006) · Nature · doi:10.1038/nature05488 · Cited by 4,354
2013 AHA/ACC/TOS Guideline for the Management of Overweight and Obesity in Adults
Jensen, M. D., Ryan, D. H., Apovian, C. M., Ard, J. D., Comuzzie, A. G., Donato, K. A., Hu, F. B., Hubbard, V. S., Jakicic, J. M., Kushner, R. F., et al. (2014) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.11.004 · Cited by 4,058
Flegal, K. M., Kit, B. K., Orpana, H., & Graubard, B. I. (2013) · JAMA · doi:10.1001/jama.2012.113905 · Cited by 3,998
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Zhao, S., Hörkkö, S., Savolainen, M. J., Koivukangas, V., Mäkinen, V., Ala‐Korpela, M., & Hukkanen, J. (2024) · Obesity Surgery · doi:10.1007/s11695-023-07042-y · Cited by 9
Self-citationZhao, S., Giles, C., Huynh, K., Kettunen, J., Järvelin, M., Kähönen, M. A. P., Viikari, J., Lehtimäki, T. J., Raitakari, O. T., Meikle, P. J., et al. (2024) · Analytical Chemistry · doi:10.1021/acs.analchem.4c03229 · Cited by 8
Self-citationMansell, T., Magnussen, C. G., Nuotio, J., Laitinen, T. T., Harcourt, B. E., Bekkering, S., McCallum, Z., Kao, K., Sabin, M. A., Juonala, M., et al. (2022) · International Journal of Obesity · doi:10.1038/s41366-021-01034-7 · Cited by 8
Branched chain amino acids and risk of breast cancerPreprint
Zeleznik, O. A., Balasubramanian, R., Ren, Y., Tobias, D. K., ROSNER, B. A., Peng, C., Bever, A. M., Frueh, L., Clish, C. B., Mora, S., et al. (2020) · medRxiv · doi:10.1101/2020.08.31.20185470 · Cited by 8
Mansell, T., Bekkering, S., Longmore, D. K., Magnussen, C. G., Vlahos, A., Harcourt, B. E., McCallum, Z., Kao, K., Sabin, M. A., Juonala, M., et al. (2023) · Obesity Research & Clinical Practice · doi:10.1016/j.orcp.2023.08.003 · Cited by 7
Solsona, E., Johnson, L., Northstone, K., & Buckland, G. (2023) · Nutrition & Metabolism · doi:10.1186/s12986-023-00754-z · Cited by 8
Cognition, psychosis risk and metabolic measures in two adolescent birth cohorts
Ramsay, H., Barnett, J. H., Murray, G. K., Miettunen, J., Mäki, P. H., Järvelin, M., Smith, G. D., Ala‐Korpela, M., & Veijola, J. M. (2018) · Psychological Medicine · doi:10.1017/s0033291718001794 · Cited by 8
Self-citationSecular trends in risk of stroke according to body mass index and blood pressure, 1976–2017
Riis, J., Nordestgaard, B. G., Jensen, G. B., & Afzal, S. (2019) · Neurology · doi:10.1212/wnl.0000000000008193 · Cited by 7
Conde, S., Xu, X., Guo, H., Perola, M., Fazia, T., Bernardinelli, L., & Berzuini, C. (2018) · BMC Bioinformatics · doi:10.1186/s12859-018-2178-2 · Cited by 7
Valkama, A., Meinilä, J. M., Koivusalo, S. B., Lindström, J., Rönö, K., Stach‐Lempinen, B., & Eriksson, J. G. (2018) · British Journal Of Nutrition · doi:10.1017/s0007114518002404 · Cited by 8
de Souza, R. J., Zulyniak, M. A., Stearns, J. C., Wahi, G., Teo, K. K., Gupta, M., Sears, M. R., Subbarao, P., & Anand, S. S. (2019) · Proceedings of The Nutrition Society · doi:10.1017/s0029665119000612 · Cited by 8
Xiao, W., Woodham, R. D., Cui, Y., Wen, J., Antoniades, M., Srinivasan, D., Yong Fan, A., Erus, G., García, J., Arnott, S. R., et al. (2025) · Communications Medicine · doi:10.1038/s43856-025-01219-5 · Cited by 7
Carter, A. R., Ferreira, D. L. S., Taylor, A. E., Lawlor, D. A., Smith, G. D., Sattar, N. A., Chaturvedi, N., Hughes, A. D., & Howe, L. D. (2020) · Journal of the American Heart Association · doi:10.1161/jaha.120.016564 · Cited by 5
Self-citationHughes, D. A., Li‐Gao, R., Bull, C. J., de Mutsert, R., Rosendaal, F. R., Mook-Kanamori, D. O., van Dijk, K. W., & Timpson, N. J. (2024) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2024.03.009 · Cited by 7
Cabrera‐Rode, E., Rodríguez, J., Álvarez, A. Á., Valdés, R. E., Reyes, A. D., Cubas‐Dueñas, I., Tristá, S. E. T., & Díaz, Ó. D. (2017) · Journal of Dietary Supplements · doi:10.1080/19390211.2017.1304482 · Cited by 5
Jones, P. R., Rajalahti, T., Resaland, G. K., Aadland, E., Steene‐Johannessen, J., Anderssen, S. A., Bathen, T. F., Andreassen, T., Kvalheim, O. M., & Ekelund, U. (2021) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2021.02.002 · Cited by 6
Kettunen, J., Joensuu, A., Hagnäs, M. P., Mikkola, I., Wennerström, A., Lee, J. H., Terwilliger, J. D., Borodulin, K., Jousilahti, P., Jauhiainen, M., et al. (2018) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00260.2018 · Cited by 6
Blood-based obesity biomarkers and their relevance for disease risk
Pischon, T., & Nimptsch, K. (2026) · Nature Reviews Endocrinology · doi:10.1038/s41574-025-01229-2 · Cited by 7
Park, D., Shin, M., & Magkos, F. (2024) · CardioMetabolic Syndrome Journal · doi:10.51789/cmsj.2024.4.e13 · Cited by 5
Casey, A., Liu, W., Hein, L. K., Sargeant, T. J., Pederson, S., & Mäkinen, V. (2022) · Scientific Reports · doi:10.1038/s41598-022-21617-2 · Cited by 5
Lee, M. A., Hatcher, C., McGuinness, L. A., McBride, N., Battram, T., Wan, W., Fang, S., Wade, K. H., Corbin, L. J., & Timpson, N. J. (2023) · Wellcome Open Research · doi:10.12688/wellcomeopenres.18657.2 · Cited by 5
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Twig, G. (2021) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(21)00239-4 · Cited by 5
The joint association of cardiometabolic health and weight on mortality in the multiethnic cohort
Harmon, B. E., Shvetsov, Y. B., Lim, U., Leak, C. L., Diego, E. R. N. S., Monroe, K. R., Wilkens, L. R., & Marchand, L. L. (2020) · Ethnicity and Health · doi:10.1080/13557858.2020.1771680 · Cited by 5
Jensch, R., Baber, R., Körner, A., Kieß, W., Ceglarek, U., Garten, A., & Vogel, M. (2024) · Metabolites · doi:10.3390/metabo14090489 · Cited by 4
Sarmento, E. B., Sassone, L. M., Pinto, K. P., Ferreira, C. M. A., Fidalgo, T. K. D. S., Lopes, R. T., Alves, A. T. N. N., Freitas‐Fernandes, L. B., Valente, A. P., Neves, R. H., et al. (2025) · International Endodontic Journal · doi:10.1111/iej.14189 · Cited by 4
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Engelbrechtsen, L., Iepsen, E. W., Galijatovic, E. A. A., Mahendran, Y., Lundgren, J. R., Jonsson, A. E., Madsbad, S., Holst, J. J., Vestergaard, H., Hansen, T. F., et al. (2016) · Metabolomics · doi:10.1007/s11306-016-1128-0 · Cited by 5
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Jones, P. R., Rajalahti, T., Resaland, G. K., Aadland, E., Steene‐Johannessen, J., Anderssen, S. A., Bathen, T. F., Andreassen, T., Kvalheim, O. M., & Ekelund, U. (2022) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-022-01244-w · Cited by 6
Lee, M. A., Hatcher, C., McGuinness, L. A., McBride, N., Battram, T., Wan, W., Fang, S., Wade, K. H., Corbin, L. J., & Timpson, N. J. (2022) · Wellcome Open Research · doi:10.12688/wellcomeopenres.18657.1 · Cited by 4
Rashid, K. A., Taylor, A. E., Lumsden, M. A., Goulding, N., Lawlor, D. A., & Nelson, S. M. (2020) · F&S Science · doi:10.1016/j.xfss.2020.10.003 · Cited by 5
Metabolic signatures of birth weight in 18 288 adolescents and adultsPreprint
Würtz, P., Wang, Q., Niironen, M., Tynkkynen, T., Tiainen, M., Drenos, F., Kangas, A. J., Soininen, P., Skilton, M. R., Heikkila, K. V., et al. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/049247 · Cited by 4
Self-citationSearching for the causal effects of BMI in over 300 000 individuals, using Mendelian randomizationPreprint
Millard, L. A. C., Davies, N. M., Tilling, K. M., Gaunt, T. R., & Smith, G. D. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/236182 · Cited by 4
Self-citationPapagiannopoulos, C. K., Markozannes, G., Chalitsios, C. V., Christakoudi, S., Gunter, M. J., Dossus, L., Martin, R. M., Tzoulaki, I., Papandreou, C., & Tsilidis, K. K. (2025) · EBioMedicine · doi:10.1016/j.ebiom.2025.105868 · Cited by 5
Konarkowski, J., Astore, C., & Gibson, G. C. (2025) · BMC Medical Genomics · doi:10.1186/s12920-025-02232-2 · Cited by 3
Spousal associations of serum metabolomic profiles by nuclear magnetic resonance spectroscopy
Rashid, K. A., Goulding, N., Taylor, A. E., Lumsden, M. A., Lawlor, D. A., & Nelson, S. M. (2021) · Scientific Reports · doi:10.1038/s41598-021-00531-z · Cited by 4
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Ohlsson, C., Bramsved, R., Bygdell, M., Martikainen, J., Rosengren, A., & Kindblom, J. M. (2025) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2025.4950 · Cited by 9
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Pausová, Z., & Sliz, E. (2024) · Current topics in behavioral neurosciences · doi:10.1007/7854_2024_463 · Cited by 2
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Franke, D. D. H., & Connelly, M. A. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-815499-1.00011-9 · Cited by 3
Timpson, N. J. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw197 · Cited by 3
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Auvinen, J., Tapio, J., Karhunen, V., Kettunen, J., Serpi, R., Dimova, E. Y., Soininen, P., Tammelin, T., Mykkänen, J., Puukka, K. S., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/472142 · Cited by 3
Self-citationFang, W., Yuan, X., Li, W., Seery, S., Chen, G., Cai, Z., Huang, Z., Wang, X., Wu, W., Chen, Z., et al. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1281203 · Cited by 2
Adamczyk, B., Morawiec, N., Kwinta, R., Rakoca, M., Wawrzyniak, S., Zalejska–Fiolka, J., Sowa, A., Sawa, K., & Adamczyk-Sowa, M. H. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26168070 · Cited by 2
Lee, M. A., Tan, V. Y., Pournaras, D. J., Wang, S. E., Dossus, L., Gunter, M. J., Wade, K. H., Corbin, L. J., & Timpson, N. J. (2025) · BMC Cancer · doi:10.1186/s12885-025-14756-y · Cited by 3
Liang, Z., Jin, H., Gao, W., Zhang, H., Hu, X., Li, R., Li, X., Cheng, Y., Guo, L., & Liu, Y. (2025) · Journal of Proteome Research · doi:10.1021/acs.jproteome.5c00677 · Cited by 2
Minato-Inokawa, S., Honda, M., Tsuboi-Kaji, A., Takeuchi, M., Kitaoka, K., Kurata, M., Wu, B., Kazumi, T., & Fukuo, K. (2025) · Scientific Reports · doi:10.1038/s41598-025-05949-3 · Cited by 2
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Hafeez, M. A. A., Zamzam, D., Fouad, M. M., El-Khawas, H., & Rahman, H. A. A. (2020) · The Egyptian Journal of Neurology Psychiatry and Neurosurgery · doi:10.1186/s41983-020-00239-3 · Cited by 2
Muñoz, A. I. G., Leguizamón, M. G., & Mendoza, J. R. (2020) · Redalyc (Universidad Autónoma del Estado de México) · Cited by 2
Wang, M., Niu, H., Du, H., & Liu, X. (2026) · International Journal of Obesity · doi:10.1038/s41366-026-02089-0 · Cited by 1
Yi, X., luan, E., Luo, J., 仲从杰, Song, J., Liu, T., & Wang, J. (2026) · Journal of Chromatography B · doi:10.1016/j.jchromb.2026.125195 · Cited by 1
Ortuño‐Soriano, I., Zaragoza‐García, I., Vallejo, R., Losa‐Iglesias, M. E., López‐Herránz, M., & Posada-Moreno, P. (2022) · Archivos Latinoamericanos de Nutrición · doi:10.37527/2022.72.1.001 · Cited by 2
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Torres, E. Q., López, V. C. D., & Padilla, P. D. R. (2022) · Archivos Latinoamericanos de Nutrición · doi:10.37527/2022.72.1.003 · Cited by 1
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Lasky-Su, J. A., Zeleznik, O. A., & Eliassen, A. H. (2017) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djx283
Rolland, M., & Eller, M. A. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-802302-0.00004-2
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Beyene, H. B., Olshansky, G., Giles, C., Huynh, K., Cinel, M. A., Mellet, N. A., Smith, A., Shaw, J. E., Magliano, D. J., & Meikle, P. J. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3909751
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Salomaa, V. V., & Inouye, M. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-809657-4.99571-1
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Spousal associations of serum metabolomic profiles by nuclear magnetic resonance spectroscopy.Preprint
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Solsona, E. M., Johnson, L., Northstone, K., & Buckland, G. (2023) · Research Square · doi:10.21203/rs.3.rs-2442641/v1
Mbutiwi, F. I. N., & Sylvestre, M. (2023) · Journal of Hypertension · doi:10.1097/hjh.0000000000003464
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Bull, C. J., Bell, J. A., Murphy, N., Sanderson, E. C. M., Smith, G. D., Timpson, N. J., Banbury, B. L., Albanes, D., Berndt, S. I., Bezieau, S., et al. (2020) · Figshare · doi:10.6084/m9.figshare.13466701
Self-citationXiu, X., Zhang, H., Xue, A., Cooper, D. N., Li, Y., Yang, Y., Yang, Y., & Zhao, H. (2022) · Figshare · doi:10.6084/m9.figshare.20745245
Xiu, X., Zhang, H., Xue, A., Cooper, D. N., Li, Y., Yang, Y., Yang, Y., & Zhao, H. (2022) · Figshare · doi:10.6084/m9.figshare.20745248
Lee, M. A., Tan, V. Y., Pournaras, D. J., Wang, S. E., Dossus, L., Gunter, M. J., Wade, K. H., Corbin, L. J., & Timpson, N. J. (2024) · medRxiv · doi:10.1101/2024.04.18.24305987
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Solsona, E. M., Johnson, L., Northstone, K., & Buckland, G. (2023) · Figshare · doi:10.6084/m9.figshare.24151307
Bull, C. J., Bell, J. A., Murphy, N., Sanderson, E., Smith, G. D., Timpson, N. J., Banbury, B. L., Albanes, D., Berndt, S. I., Bezieau, S., et al. (2020) · Figshare · doi:10.6084/m9.figshare.13466703
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Haydar, S. (2018) · theses.fr (ABES) · doi:10.70675/5c14c2c4z469bz40fazb55cz985ea78d6c2a
Leveraging Multiomic Signatures to Predict Body Composition
Devarakonda, S. L. S., Hughes, D. A., Rodriguez, C., Goncalves, M. D., & Heymsfield, S. B. (2026) · Advances in Nutrition · doi:10.1016/j.advnut.2026.100626
Jia, Q., Liu, Y., & Hao, L. (2026) · Medicine · doi:10.1097/md.0000000000049088
Nassif, M., Miller, W. M., Ziegler, K. M., Ashrafi, N., Ashrafi, R. M., Khalid, A., Akyol, S., Idler, J., Milčiūtė, M., Lomeikaite, V., et al. (2026) · Metabolites · doi:10.3390/metabo16070497
Jayedi, A., Aune, D., & Shab‐Bidar, S. (2026) · International Journal of Obesity · doi:10.1038/s41366-026-02183-3
Niu, H., Wang, M., Wei, S., Ma, G., Wang, H., Xu, H., Wang, Y., & Liu, X. (2026) · Nutrients · doi:10.3390/nu18203401
Metadata
- Authors
- Würtz, P., Wang, Q., Kangas, A. J., Richmond, R. C., Skarp, J., Tiainen, M., Tynkkynen, T., Soininen, P., Havulinna, A. S., Kaakinen, M., Viikari, J. S., Savolainen, M. J., Kähönen, M., Lehtimäki, T., Männistö, S., Blankenberg, S., Zeller, T., Laitinen, J., Pouta, A., Mäntyselkä, P., Vanhala, M., Elliott, P., Pietiläinen, K. H., Ripatti, S., Salomaa, V., Raitakari, O. T., Järvelin, M.-R., Smith, G. D., & Ala-Korpela, M.
- Affiliations
- University of Helsinki (FI)
- University of Eastern Finland (FI)
- University of Bristol (GB)
- University of Oulu (FI)
- University of Turku (FI)
- Oulu University Hospital (FI)
- Tampere University Hospital (FI)
- Fimlab (Finland) (FI)
- Finnish Institute for Health and Welfare (FI)
- Universität Hamburg (DE)
- Finnish Institute of Occupational Health (FI)
- MRC Centre for Environment and Health (GB)
- Corresponding author
- Würtz, Peter
- ORCID
- Würtz, Peter
- Wang, Qin
- Kangas, Antti J.
- Richmond, Rebecca C.
- Tiainen, Mika
- Tynkkynen, Tuulia
- Havulinna, Aki S.
- Kaakinen, Marika
- Viikari, Jorma S.
- Savolainen, Markku J.
- Kähönen, Mika
- Lehtimäki, Terho
- Männistö, Satu
- Blankenberg, Stefan
- Zeller, Tanja
- Laitinen, Jaana
- Mäntyselkä, Pekka
- Vanhala, Mauno
- Elliott, Paul
- Pietiläinen, Kirsi H.
- Ripatti, Samuli
- Salomaa, Veikko
- Raitakari, Olli T.
- Järvelin, Marjo-Riitta
- Smith, George Davey
- Venue
- PLoS Medicine
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-12-09
- Volume
- 11
- Issue
- 12
- Pages
- e1001765
- ISSN
- 1549-1277 (ISSN-L)
- 1549-1676
- PMC
- PMC4260795
- OpenAlex
- W2010768303
- Cited by
- 280
- References
- 47
- Citations by year
- 2026: 9 · 2025: 12 · 2024: 13 · 2023: 22 · 2022: 23 · 2021: 29 · 2020: 36 · 2019: 25 · 2018: 31 · 2017: 34 · 2016: 33 · 2015: 13
- FWCI
- 20.15
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS Medicine (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Tampere University Institutional Repository (Tampere University) (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- UCL Discovery (University College London) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Työväentutkimus Vuosikirja (submittedVersion)
- Explore Bristol Research (submittedVersion)
- Bristol Research (University of Bristol) (submittedVersion)
- Spiral (Imperial College London) (submittedVersion, other-oa)
- Tampere University Institutional Repository (Tampere University) (submittedVersion)
- STM:n Hallinnonalan avoin julkaisuarkisto (Julkari) (submittedVersion)
- Funders
- Pfizer
- Foundation for Cardiovascular Research
- National Institute for Health and Care Research (NF-SI-0611-10136)
- Imperial College London
- European Commission (277849, 278913)
- Kela
- Academy of Finland (#266286, 124,282, 134309, 137870, 121584, 136895, 129378, 129429, 129269, 117,797, 126,925, 250422, 129418, 41071, 120315, 263836, 139635, 104781)
- Suomen Kulttuurirahasto
- Juho Vainion Säätiö (266286)
- Novo Nordisk
- Emil Aaltosen Säätiö
- Turun Yliopisto
- Sydäntutkimussäätiö (121584, 124282, 266286, 134309, 126925, 129378, 41071)
- Oulun Yliopisto (137870, 129429, 129269)
- Paavo Nurmen Säätiö
- Novo Nordisk Fonden (NNF13OC0005747, #NNF10OC1013354)
- Diabetestutkimussäätiö (266286)
- National Institutes of Health (6r01hl087679-03, 5rl1mh083268-05)
- Abbott Diagnostics
- Medical Research Council (MR/L01341X/1)
- Jenny ja Antti Wihurin Rahasto
- Biocenter, University of Oulu
- National Heart, Lung, and Blood Institute (5R01HL087679, R01 HL087679)
- National Institute of Mental Health (RL1-MH083268, 1RL1MH083268)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- adiposity, body mass index, circulating metabolites, cardiometabolic risk, Mendelian randomization, weight change, adolescents and young adults, lipoprotein subclasses, branched-chain amino acids, aromatic amino acids, glycoprotein acetyls, sex differences, metabolic signatures, cardiometabolic disease
- MeSH terms
- Adult, Body Weight, Cross-Sectional Studies, Female, Humans, Male, Body Mass Index, Adiposity, Young Adult, Mendelian Randomization Analysis
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