The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity
Open accessAbstract
Approximately 1.5 billion people worldwide are overweight or affected by obesity, and are at risk of developing type 2 diabetes, cardiovascular disease and related metabolic and inflammatory disturbances. Although the mechanisms linking adiposity to associated clinical conditions are poorly understood, recent studies suggest that adiposity may influence DNA methylation, a key regulator of gene expression and molecular phenotype. Here we use epigenome-wide association to show that body mass index (BMI; a key measure of adiposity) is associated with widespread changes in DNA methylation (187 genetic loci with P < 1 × 10-7, range P = 9.2 × 10-8 to 6.0 × 10-46; n = 10,261 samples). Genetic association analyses demonstrate that the alterations in DNA methylation are predominantly the consequence of adiposity, rather than the cause. We find that methylation loci are enriched for functional genomic features in multiple tissues (P < 0.05), and show that sentinel methylation markers identify gene expression signatures at 38 loci (P < 9.0 × 10-6, range P = 5.5 × 10-6 to 6.1 × 10-35, n = 1,785 samples). The methylation loci identify genes involved in lipid and lipoprotein metabolism, substrate transport and inflammatory pathways. Finally, we show that the disturbances in DNA methylation predict future development of type 2 diabetes (relative risk per 1 standard deviation increase in methylation risk score: 2.3 (2.07-2.56); P = 1.1 × 10-54). Our results provide new insights into the biologic pathways influenced by adiposity, and may enable development of new strategies for prediction and prevention of type 2 diabetes and other adverse clinical consequences of obesity.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Analyses of causal variants at GWAS loci focused originally on coding regions, but it has become clear that for many common diseases regulatory variation explains most of the risk burden [21].”
From Multi-omics approaches to disease (2017) · cites this paper as [21]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
The metabolic phenotype in obesity: Fat mass, body fat distribution, and adipose tissue function
Goossens, G. H. (2017) · Obesity Facts · doi:10.1159/000471488 · Cited by 8,481
Genetics 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
Phosphorylation meets ubiquitination: the control of NF-κB activity
Karin, M., & Ben-Neriah, Y. (2000) · Annual Review of Immunology · doi:10.1146/annurev.immunol.18.1.621 · Cited by 4,766 · cited 4×
“These criteria identified 210 unique genes, many with established roles in adipose tissue biology and insulin resistance (eg ABGG1, LPIN1, HOXA5, LMNA, CPT1A, SOCS3, SREBF1, PHGDH, Supplementary Information Tables 19 and 20).”
InfluentialDanaei, G., Finucane, M. M., Lu, Y., Singh, G. M., Cowan, M. J., Paciorek, C. J., Lin, J. K., Farzadfar, F., Khang, Y.-H., Stevens, G. A., et al. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60679-x · Cited by 3,568
DNA methylation arrays as surrogate measures of cell mixture distribution
Houseman, E. A., Accomando, W. P., Koestler, D. C., Christensen, B. C., Marsit, C. J., Nelson, H. H., Wiencke, J. K., & Kelsey, K. T. (2012) · BMC Bioinformatics · doi:10.1186/1471-2105-13-86 · Cited by 3,175
Epigenetic modifications and human disease
Portela, A., & Esteller, M. (2010) · Nature Biotechnology · doi:10.1038/nbt.1685 · Cited by 2,938
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
MAGIC, Speliotes, E. K., on behalf of Procardis Consortium, Willer, C. J., Berndt, S. I., Monda, K. L., Thorleifsson, G., Jackson, A. U., Allen, H. L., Lindgren, C. M., et al. (2010) · Nature Genetics · doi:10.1038/ng.686 · Cited by 2,912
Self-citationHealth and economic burden of the projected obesity trends in the USA and the UK
Wang, Y. C., McPherson, K., Marsh, T., Gortmaker, S. L., & Brown, M. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60814-3 · Cited by 2,775
Cohort Profile: The Avon Longitudinal Study of Parents and Children: ALSPAC mothers cohort
Fraser, A., Macdonald-Wallis, C., Tilling, K., Boyd, A., Golding, J., Davey Smith, G., Henderson, J., Macleod, J., Molloy, L., Ness, A., et al. (2013) · International Journal of Epidemiology · doi:10.1093/ije/dys066 · Cited by 2,494
Self-citation
Cited by
Sorted by citations
Items 701–800 of 982
Elliott, J. A., & Reynolds, J. V. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-91707-0.00013-9 · Cited by 2
Considerations on efforts needed to improve our understanding of the genetics of obesity
Ghosh, S., & Bouchard, C. (2024) · International Journal of Obesity · doi:10.1038/s41366-024-01528-0 · Cited by 3
Stoldt, M. K., Ammous, F., Lin, L., Ratliff, S. M., Ware, E. B., Faul, J. D., Zhao, W., Kardia, S. L. R., & Smith, J. A. (2024) · The Journals of Gerontology Series A · doi:10.1093/gerona/glae159 · Cited by 2
Shinozaki, H., Kawai, S., Gamo-Kawasaki, M., Takei, A., Tsujikado, K., Fukuda, K., Yamauchi, M., Hara, K., Tsuchiya, T., Takebayashi, K., et al. (2024) · Endocrine Journal · doi:10.1507/endocrj.ej23-0570 · Cited by 2
Attia, S. M., Alshamrani, A. A., Ahmad, S. F., Albekairi, N. A., Nadeem, A., Attia, M. S. M., Ansari, M. A., Alqahtani, F., Bakheet, S. A., & Harisa, G. I. (2024) · Mutation Research/Genetic Toxicology and Environmental Mutagenesis · doi:10.1016/j.mrgentox.2024.503805 · Cited by 2
Malhotra, D., & Gabrani, R. (2025) · Molecular Biology Reports · doi:10.1007/s11033-025-10242-7 · Cited by 2
Hong, X., Cao, H., Cao, W., Lv, J., Yu, C., Huang, T., Sun, D., Liao, C., Pang, Y., Hu, R., et al. (2025) · Cell & Bioscience · doi:10.1186/s13578-025-01446-2 · Cited by 2
Epigenome-wide association study meta-analysis of wellbeing
Bartels, M., van de Weijer, M. P., Azcona-Granada, N., Baselmans, B. M. L., Suderman, M. J., Soerensen, M., Buchwald, J., Mulder, R. H., Rawal, R., Luciano, M., et al. (2026) · Clinical Epigenetics · doi:10.1186/s13148-026-02202-0 · Cited by 2
Self-citationConclusions and perspectives: Major challenges and future prospects for prognostic epigenetics
Sharma, S. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-814259-2.00016-9 · Cited by 2
Nutrition, Epigenetics and Health
Burdge, G. C., & Lillycrop, K. A. (2016) · WORLD SCIENTIFIC eBooks · doi:10.1142/10123 · Cited by 2
Current directions in development of postgenomic medical technologies
Кайшева, А. Л., Викторович, Г. Д., Kamenski, P. A., Федорончук, Т. В., Malsagova, K. A., Чойнзонов, Е. Л., & Лисица, А. В. (2018) · Zhurnal «Patologicheskaia fiziologiia i eksperimental`naia terapiia» · doi:10.25557/0031-2991.2018.03.95-105 · Cited by 2
Abordaje nutrigenómico de la obesidad: ¿dónde estamos?
Zapata-Bravo, E., Pacheco-Orozco, R. A., Payán‐Gómez, C., & López-Rippe, J. (2021) · Revista de Nutrición Clínica y Metabolismo · doi:10.35454/rncm.v4n1.167 · Cited by 2
Epigenetics of Metabolic Diseases
Gillberg, L., & Hjort, L. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-91909-8.00026-8 · Cited by 2
Chen, G., Li, Z., Sang, Q., Wang, L., Wuyun, Q., Wang, Z., Chen, W., Yu, C., Lian, D., & Zhang, N. (2023) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s402687 · Cited by 2
Environment, Epigenetics, and the Pace of Human Aging
Goldman, E. A., & Sterner, K. N. (2023) · Annual Review of Anthropology · doi:10.1146/annurev-anthro-052721-090516 · Cited by 3
An epigenome-wide association study of waist circumference in Chinese monozygotic twins
Xing, F., Han, F., Wu, Y., Lv, B., Tian, H., Wang, W., Tian, X., Xu, C., Duan, H., Zhang, D., et al. (2024) · International Journal of Obesity · doi:10.1038/s41366-024-01538-y · Cited by 2
The genetic underpinnings of body fat distribution
Pulit, S. L., Laber, S., Glastonbury, C. A., & Lindgren, C. M. (2017) · Expert Review of Endocrinology & Metabolism · doi:10.1080/17446651.2017.1390427 · Cited by 2
Self-citationGut morphology and gene expression in obesity: Short review and perspectives
Ferreira, B. D. A. M., Sala, P., Fonseca, D. C., Heymsfield, S. B., & Waitzberg, D. L. (2018) · Clinical Nutrition Experimental · doi:10.1016/j.yclnex.2018.04.003 · Cited by 3
Casual snacking as an automatic process: a grounded cognition framework
Teichert, T., Wörfel, P., & Ackermann, C.-L. (2020) · British Food Journal · doi:10.1108/bfj-07-2020-0645 · Cited by 2
DNA methylation and breast cancer risk: value of twin and family studies
Li, S., Ye, Z., kConFab Investigators, Hopper, J. L., & Southey, M. C. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-820951-6.00004-1 · Cited by 2
Epigenetic Epidemiology of Obesity and Type 2 Diabetes
Ling, C., Ruhrmann, S., Säll, J., Bacos, K., & Rönn, T. (2022) · Springer eBooks · doi:10.1007/978-3-030-94475-9_19 · Cited by 2
Draisma, H. H. M., Liu, J., Pupko, I., Demirkan, A., Balkhiyarova, Z., Morris, A. P., Mägi, R., Wielscher, M., Hassan, S., van Duijn, C. M., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/656918 · Cited by 2
Self-citationChen, N., Miao, L., Lin, W., Zhou, D., Huang, L., Huang, J., Shi, W., Li, L., Luo, Y., Liang, H., et al. (2020) · Research Square · doi:10.21203/rs.3.rs-68833/v1 · Cited by 2
Gunasekara, C. J., MacKay, H., Scott, C., Li, S.-B., Laritsky, E., Baker, M. S., Grimm, S., Jun, G., Li, Y.-M., Chen, R., et al. (2022) · bioRxiv · doi:10.1101/2022.05.27.493722
Jain, P., Ng, H. K., Tay, D., Mina, T. H., Low, D. Y., Sadhu, N., Kooner, I. K., Gupta, A., Li, T., Bertin, N., et al. (2025) · medRxiv · doi:10.1101/2025.02.14.25322264 · Cited by 2
Self-citationAlami, H. E., Ghazal, H., Abidi, O., Idrissi, N. A., Allali, M., Wakrim, L., Naamane, A., Khlil, N., & Hamdi, S. (2022) · Gene Reports · doi:10.1016/j.genrep.2022.101523 · Cited by 1
The Role of Epigenetics in the Developmental Origins of Health and Disease
Michels, K. B., Gunasekara, C. J., & Waterland, R. A. (2022) · Springer eBooks · doi:10.1007/978-3-030-94475-9_6 · Cited by 2
Obesity biomarkers, pathways, and risk factors
Venegas, O. G., & Mehrzad, R. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-90965-5.00009-x · Cited by 1
Metal mixtures and childhood adiposity risk
Hu, G. (2024) · Obesity Medicine · doi:10.1016/j.obmed.2024.100571 · Cited by 1
Ronsini, C., Braca, E., Fordellone, M., Marino, F. Z., Napolitano, S., Raffone, A., Cobellis, L., & FRANCISCIS, P. D. (2025) · Seminars in Oncology · doi:10.1053/j.seminoncol.2025.01.001 · Cited by 1
Zhao, L., Xue, X., Gao, Y., Xu, W., Zhao, Z., Cai, W.-M., Rui, D., Qian, X., Liu, L., & Li, F. (2025) · Aging Clinical and Experimental Research · doi:10.1007/s40520-025-02986-w · Cited by 2
Wu, Q.-Y., Zhou, M., Zhu, R., Gu, K.-Z., Ma, Y., & Zou, C. (2025) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2025.110893 · Cited by 1
Nutri-epigenetics of mitochondrial function and energy homeostasis in obesity
Goss, L. R., & Voruganti, V. S. (2025) · Genes & Nutrition · doi:10.1186/s12263-025-00781-w · Cited by 1
Iwata, H., Miyashita, C., Yamaguchi, T., Ikeda, A., Miura, R., Minatoya, M., Tamura, N., Bamai, Y. A., Itoh, S., Yamazaki, K., et al. (2025) · Clinical Epigenetics · doi:10.1186/s13148-025-02022-8 · Cited by 1
Ciantar, J., Rajić, S., Kostiniuk, D., Raulamo, E., Kartiosuo, N., Lai, L., Mishra, P. P., Lyytikäinen, L., Kleber, M., Rovio, S., et al. (2026) · Clinical Epigenetics · doi:10.1186/s13148-025-02037-1 · Cited by 1
Self-citationShi, L., Li, D., & Li, Y. (2026) · Medical Review · doi:10.1515/mr-2025-0048 · Cited by 1
Anguita‐Ruiz, A., Torres‐Martos, Á., Bustos‐Aibar, M., Setó-Llorens, A., Ruiz‐Ojeda, F. J., Moreno, L. A., Gil, Á., Gil‐Campos, M., Bueno, G., Leis, R., et al. (2026) · Cardiovascular Diabetology · doi:10.1186/s12933-026-03101-7 · Cited by 2
Epigenetic and polygenic contributions to body mass index: a validation study of predictive models
Marszałek, K., Wróbel, M., Subramanian, B., Jaworska, K., Pisarek, A., Piniewska-Róg, D., Makiel, K., Suder, A., Michalczyk, M. M., Wysocka, B., et al. (2026) · Clinical Epigenetics · doi:10.1186/s13148-025-02040-6 · Cited by 2
Diani, L. M., Watanabe, L. M., Noronha, N. Y., Rodrigues, G. D. S., Pinhel, M. A. D. S., Sae‐Lee, C., de Oliveira, B. A. P., Nicoletti, C. F., Junqueira, G. P., Salgado, W., et al. (2026) · Scientific Reports · doi:10.1038/s41598-026-46559-x · Cited by 1
Obesity, inflammation, and the Mediterranean diet in cancer
Chapela, S. P., Sarno, G., Niño, C., Brachi, M. P., Cucalón, G., BASTIDAS, S., Saettone, F., Toral-Noristz, M., Galasso, M., & Verde, L. (2026) · Food and Agricultural Immunology · doi:10.1080/09540105.2026.2668199 · Cited by 1
Klinische Bedeutung der Epigenetik
Kirchner, H., & Lehnert, H. (2018) · Springer eBooks · doi:10.1007/978-3-662-54023-7_2 · Cited by 1
Hoyo, C., Skaar, D. A., Park, S. S., & Sorrow, P. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-812215-0.00014-5 · Cited by 1
A Systems Perspective of Complex Diseases: From Reductionism to Integration
Bandesh, K., Dhar, P. K., & Bharadwaj, D. (2018) · RNA technologies · doi:10.1007/978-3-319-92967-5_2 · Cited by 1
Bioinformatic and Biostatistic Methods for DNA Methylome Analysis of Obesity
Voisin, S. A. C. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-814513-5.00011-8 · Cited by 1
van Dongen, J., & Boomsma, D. I. (2019) · doi:10.1093/oso/9780198793014.003.0004 · Cited by 1
Tsunoda, T. (2019) · Springer eBooks · doi:10.1007/978-981-13-8177-5_8 · Cited by 1
Adiponectin Signaling in Colorectal Cancer
Srivani, G., Dariya, B., Nagaraju, G. P., & Alam, A. (2020) · Diagnostics and therapeutic advances in GI malignancies · doi:10.1007/978-981-15-2017-4_2 · Cited by 1
Oghagbon, E. K. (2018) · Journal of BioMedical Research and Clinical Practice · doi:10.46912/1i2.201855 · Cited by 1
Roles of Coffee and Its Components in Liver Diseases
Pak, E. S., Park, S., Yoon, H., Kim, S., & Kwon, Y. (2023) · Drug Targets and Therapeutics · doi:10.58502/dtt.23.0012 · Cited by 1
Skaar, D. A., Park, S. S., & Hoyo, C. (2023) · Elsevier eBooks · doi:10.1016/b978-0-443-18661-5.00008-7 · Cited by 1
Cirugía bariátrica, determinantes que conllevan al fracaso. Revisión bibliográfica
Castillo, J. D. C., Cordero, S. J. P., & Sarmiento-Rojas, P. A. (2023) · Salud ConCiencia · doi:10.55204/scc.v2i2.e56 · Cited by 1
Manjarres-Suarez, A., Bozack, A. K., Cárdenas, A., & Olivero‐Verbel, J. (2024) · Current Zoology · doi:10.1093/eep/dvae008 · Cited by 1
Elliott, H. R., Bennett, C. L., Caramaschi, D., & English, S. (2024) · Scientific Reports · doi:10.1038/s41598-024-65605-0 · Cited by 2
Melton, H. J., Zhang, Z., Deng, H., Wu, L., & Wu, C. (2024) · Epigenetics · doi:10.1080/15592294.2024.2370542 · Cited by 1
张亚宁, Y. Z., 郑启文, Q. Z., Qian, Q., Yuan, N., Liu, T., Gao, X., Fan, X., Bi, Y., Ji, G., Jia, P., et al. (2025) · Genomics Proteomics & Bioinformatics · doi:10.1093/gpbjnl/qzaf048 · Cited by 1
Epigenetics and the Microbiome
Pevsner‐Fischer, M., Zmora, N., Braverman, S., & Elinav, E. (2017) · Springer eBooks · doi:10.1007/978-3-319-31143-2_35-1 · Cited by 1
Identification of Biomarkers for the Prevention of Chronic Disease
Boccia, S., Liu, J., Demirkan, A., van Duijn, C. M., Mariani, M., Castagna, C., Pastorino, R., Fiatal, S., Pikó, P., Ádány, R., et al. (2020) · SpringerBriefs in public health · doi:10.1007/978-3-030-52399-2_2 · Cited by 1
Value of twin and family study designs for epigenetic research
Li, S., & Hopper, J. L. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-820951-6.00016-8 · Cited by 1
Oghagbon, E. K. (2018) · Journal of BioMedical Research and Clinical Practice · doi:10.46912/jbrcp.55 · Cited by 1
Endurance Sports and The Brain
Mathias, D. (2022) · Springer eBooks · doi:10.1007/978-3-662-65961-8_63 · Cited by 1
Evolution Fattens its Children
Mathias, D. (2022) · Springer eBooks · doi:10.1007/978-3-662-65961-8_43 · Cited by 1
Identification of epigenome-wide DNA methylation differences between carriers of APOE ε4 and APOE ε2Preprint
Walker, R. M., Vaher, K., Bermingham, M. L., Morris, S. W., Bretherick, A. D., Zeng, Y., Rawlik, K., Amador, C., Campbell, A., Haley, C. S., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/815035 · Cited by 2
Exploring the variance in complex traits captured by DNA methylation assaysPreprint
Battram, T., Gaunt, T. R., Speed, D., Timpson, N. J., & Hemani, G. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.10.09.333542 · Cited by 1
Self-citationHathaway, Q. A. (2019) · The Research Repository @ WVU (West Virginia University) · doi:10.33915/etd.4052 · Cited by 1
Pan-cancer DNA methylation signature quantification of lifestyle exposures and cancer prognosisPreprint
Tao, K., Sutton, J., & Flanagan, J. M. (2021) · Research Square · doi:10.21203/rs.3.rs-199381/v1 · Cited by 1
DNA methylation in type 2 diabetes and metabolic health
Walaszczyk, E. (2021) · University of Groningen research database (University of Groningen / Centre for Information Technology) · doi:10.33612/diss.180629925 · Cited by 1
Melton, H. J., Zhang, Z.-C., Deng, H.-W., Wu, L., & Wu, C. (2023) · medRxiv · doi:10.1101/2023.03.20.23287418 · Cited by 2
Ribosomal DNA copy number is associated with body mass in humans and other mammalsPreprint
Law, P. P., Rodríguez-Algarra, F., Åsenius, F., Gregori, M., Seaborne, R. A. E., Yildizoglu, S., Miller, J. R. C., Mesnage, R., Antoniou, M. N., Li, W., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.03.551775 · Cited by 1
Methylome-wide studies of six metabolic traitsPreprint
Smith, H. M., Ng, H. K., Moodie, J. E., Gadd, D. A., McCartney, D. L., Bernabeu, E., Campbell, A. I., Redmond, P. H., Taylor, A. M., Page, D., et al. (2024) · medRxiv · doi:10.1101/2024.05.29.24308103 · Cited by 1
Self-citationDeep phenotyping obesity using EHR data: Promise, Challenges, and Future DirectionsPreprint
Ruan, X., Lu, S., Wang, L., Wen, A., Murali, S. B., & Liu, H. (2024) · medRxiv · doi:10.1101/2024.12.06.24318608 · Cited by 1
Omics: Potential Role in Early-Phase Drug Development
Grallert, H., Marzi, C., Hauck, S. M., & Gieger, C. (2014) · Springer eBooks · doi:10.1007/978-1-4471-4920-0_8
Self-citationGeller, B. (2017) · Journal watch · doi:10.1056/nejm-jw.na43174
Ernährungsgewohnheiten schlagen sich im Erbgut nieder
Beckers, J., Grallert, H., Schürmann, A., & de Angelis, M. H. (2017) · Diabetes aktuell · doi:10.1055/s-0043-110049
Self-citationCKD, Genetic Variation, and the Epigenome: Decrypting the Code
O’Toole, J. F., & Sedor, J. R. (2018) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2018.03.012
The Function Transformation Omics - FunomicsPreprint
Jiang, Y., Xu, J., Hu, S., Liu, D., Zhao, L., & Zhou, X. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1808.05766
TET2: Is a potential gatekeeper for the action of thiazolidinedione in fat cells?
Seo, J. A., & Kim, Y. (2018) · Metabolism · doi:10.1016/j.metabol.2018.10.001
The Interplay between Immunity and Metabolism Dictates Health and Disease
Kamareddine, L. (2017) · Virology & Immunology Journal · doi:10.23880/vij-16000126
Human Adaptations to Temporally and Spatially Variable Environments
Templeton, A. R. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-386025-5.00012-9
Metastabile Epiallele – beeinflussen epigenetische Varianten das individuelle Adipositasrisiko?
Krude, H., & Kühnen, P. (2018) · Adipositas - Ursachen Folgeerkrankungen Therapie · doi:10.1055/s-0038-1676675
Oghagbon, E. K. (2018) · Journal of BioMedical Research and Clinical Practice · doi:10.46912/jbrcp.v1.i2.2018.55
Gautier, J., Julla, J.-B., Drareni, K., Alzaïd, F., & Venteclef, N. (2019) · Médecine des Maladies Métaboliques · doi:10.1016/s1957-2557(19)30024-0
Statistical Inference for the Investigation of Cell-Type Heterogeneity in DNA Methylation Data
Kennedy, D. W. (1905) · Queensland University of Technology · doi:10.5204/thesis.eprints.128080
DNA Methylation: Methods and Analyses
Gorrie-Stone, T. J. (2019) · Open Access at Essex (University of Essex)
Epigenetic Profiling of Obesity and Smoking
Bollepalli, S. (2020) · Työväentutkimus Vuosikirja
Grice, B. A. (2019) · IUScholarWorks (Indiana University) · doi:10.7912/c2/2030
Integration of Multi-Omics in Type 2 Diabetes and Related Disorders Research
Liu, J. (2020) · EUR Research Repository (Erasmus University Rotterdam)
Genomic analysis of divergently selected experimental lines in rabbit
Sosa‐Madrid, B. S. (2020) · doi:10.4995/thesis/10251/141376
Kononova, I. V., Kirillina, M. P., Sofronova, S. I., Гурьева, А. Б., Arzhakova, L. I., Golderova, A. S., & Zakharova, F. A. (2020) · Современные проблемы науки и образования · doi:10.17513/spno.30100
Böttcher, Y. (2020) · Diabetologie und Stoffwechsel · doi:10.1055/a-1247-1099
Xiong, Z., Yang, L., Fu, J., Li, X., Xie, X., Kong, Y., & Xie, X. (2020) · Research Square · doi:10.21203/rs.3.rs-113914/v1
Epigenetic regulator UHRF1 suppressively orchestrates multiple pathogenesis in rheumatoid arthritis.Preprint
Imai, Y., Saeki, N., Inoue, K., Ideta-Otsuka, M., Watamori, K., Mizuki, S., Takenaka, K., Igarashi, K., & Miura, H. (2021) · Research Square · doi:10.21203/rs.3.rs-293501/v1
The Combined Effects of Bisphenol A Exposure, Diet, and Physical Activity on the Aging Epigenome
Kochmanski, J. J. (2018) · Deep Blue (University of Michigan)
Sutton, J., Moorghen, M., Wang, L. M., Thirlwell, C., Pipinikas, C., & Lorincz, A. T. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.08.26.457788
Time trends in epigenetic signatures and population health risks
Sørensen, T. I. A., & Barrès, R. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-820951-6.00006-5
Twin and family studies on epigenetics and obesity
Candler, T. P., Kühnen, P., Prentice, A. M., & Silver, M. J. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-820951-6.00012-0
Twin and family epigenetic studies of type 2 diabetes
Christiansen, C., Potier, L., & Bell, J. T. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-820951-6.00005-3
Self-citationAbderrahmani, A. (2021) · Elsevier eBooks · doi:10.1016/b978-2-294-76753-1.00022-9
エピゲノムワイド関連研究（EWAS）による形質関連DNAメチル化サイトの探索
中杤昌弘 (2021) · Medical Entomology and Zoology · doi:10.11234/jsbibr.2021.8
Laforest, M.-E., Ward, S. A., Landry, L.-A., & Mobetty, F. (2021) · JMIR Research Protocols · doi:10.2196/31254
Metadata
- Authors
- Wahl, S., Drong, A., Lehne, B., Loh, M., Scott, W. R., Kunze, S., Tsai, P.-C., Ried, J. S., Zhang, W., Yang, Y., Tan, S., Fiorito, G., Franke, L., Guarrera, S., Kasela, S., Kriebel, J., Richmond, R. C., Adamo, M., Afzal, U., Ala-Korpela, M., Albetti, B., Ammerpohl, O., Apperley, J. F., Beekman, M., Bertazzi, P. A., Black, S. L., Blancher, C., Bonder, M.-J., Brosch, M., Carstensen-Kirberg, M., de Craen, A. J. M., de Lusignan, S., Dehghan, A., Elkalaawy, M., Fischer, K., Franco, O. H., Gaunt, T. R., Hampe, J., Hashemi, M., Isaacs, A., Jenkinson, A., Jha, S., Kato, N., Krogh, V., Laffan, M., Meisinger, C., Meitinger, T., Mok, Z. Y., Motta, V., Ng, H. K., Nikolakopoulou, Z., Nteliopoulos, G., Panico, S., Pervjakova, N., Prokisch, H., Rathmann, W., Roden, M., Rota, F., Rozario, M. A., Sandling, J. K., Schafmayer, C., Schramm, K., Siebert, R., Slagboom, P. E., Soininen, P., Stolk, L., Strauch, K., Tai, E.-S., Tarantini, L., Thorand, B., Tigchelaar, E. F., Tumino, R., Uitterlinden, A. G., van Duijn, C., van Meurs, J. B. J., Vineis, P., Wickremasinghe, A. R., Wijmenga, C., Yang, T.-P., Yuan, W., Zhernakova, A., Batterham, R. L., Smith, G. D., Deloukas, P., Heijmans, B. T., Herder, C., Hofman, A., Lindgren, C. M., Milani, L., van der Harst, P., Peters, A., Illig, T., Relton, C. L., Waldenberger, M., Järvelin, M.-R., Bollati, V., Soong, R., Spector, T. D., Scott, J., McCarthy, M. I., Elliott, P., Bell, J. T., Matullo, G., Gieger, C., Kooner, J. S., Grallert, H., & Chambers, J. C.
- Affiliations
- Helmholtz Munich (DE)
- Centre for Human Genetics (GB)
- MRC Centre for Environment and Health (GB)
- Agency for Science, Technology and Research (SG)
- King's College London (GB)
- Ealing Hospital NHS Trust (GB)
- National University of Singapore (SG)
- Italian institute for Genomic Medicine (IT)
- University Medical Center Groningen (NL)
- University of Tartu (EE)
- University of Bristol (GB)
- University College Hospital (GB)
- University of Milan (IT)
- University Hospital Schleswig-Holstein (DE)
- Imperial College London (GB)
- Leiden University Medical Center (NL)
- Technische Universität Dresden (DE)
- Erasmus MC (NL)
- Max Healthcare (IN)
- National Center for Global Health and Medicine (JP)
- Fondazione IRCCS Istituto Nazionale dei Tumori (IT)
- Federico II University Hospital (IT)
- Deutsches Diabetes-Zentrum e.V. (DE)
- Düsseldorf University Hospital (DE)
- Uppsala University (SE)
- Universität Ulm (DE)
- University of Eastern Finland (FI)
- University of Kelaniya (LK)
- Wellcome Sanger Institute (GB)
- Institute of Cancer Research (GB)
- Queen Mary University of London (GB)
- Broad Institute (US)
- Oulu University Hospital (FI)
- Imperial College Healthcare NHS Trust (GB)
- Corresponding author
- Kooner, Jaspal S.
- Grallert, Harald
- Chambers, John C.
- ORCID
- Loh, Marie
- Scott, William R.
- Kunze, Sonja
- Tsai, Pei-Chien
- Zhang, Weihua
- Yang, Youwen
- Fiorito, Giovanni
- Franke, Lude
- Guarrera, Simonetta
- Kasela, Silva
- Kriebel, Jennifer
- Richmond, Rebecca C.
- Afzal, Uzma
- Ammerpohl, Ole
- Apperley, Jane F.
- Beekman, Marian
- Bertazzi, Pier Alberto
- Black, S. Lucas
- Blancher, Christine
- Bonder, Marc-Jan
- Brosch, Mario
- Dehghan, Abbas
- Elkalaawy, Mohamed
- Fischer, Krista
- Franco, Oscar H.
- Gaunt, Tom R.
- Hampe, Jochen
- Isaacs, Aaron
- Jha, Sujeet
- Krogh, Vittorio
- Laffan, Michael
- Meisinger, Christa
- Meitinger, Thomas
- Nteliopoulos, Georgios
- Panico, Salvatore
- Prokisch, Holger
- Rathmann, Wolfgang
- Roden, Michael
- Rota, Federica
- Sandling, Johanna K.
- Schafmayer, Clemens
- Schramm, Katharina
- Siebert, Reiner
- Slagboom, P. Eline
- Strauch, Konstantin
- Tai, E-Shyong
- Tarantini, Letizia
- Thorand, Barbara
- Tumino, Rosario
- Vineis, Paolo
- Wijmenga, Cisca
- Yang, Tsun-Po
- Zhernakova, Alexandra
- Batterham, Rachel L.
- Smith, George Davey
- Deloukas, Panos
- Heijmans, Bastiaan T.
- Herder, Christian
- Lindgren, Cecilia M.
- Milani, Lili
- Peters, Annette
- Illig, Thomas
- Relton, Caroline L.
- Järvelin, Marjo-Riitta
- Bollati, Valentina
- Soong, Richie
- Spector, Tim D.
- Scott, James
- McCarthy, Mark I.
- Elliott, Paul
- Bell, Jordana T.
- Matullo, Giuseppe
- Gieger, Christian
- Kooner, Jaspal S.
- Grallert, Harald
- Chambers, John C.
- Venue
- Nature
- Published
- 2016-12-21
- Volume
- 541
- Issue
- 7635
- Pages
- 81-86
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC5570525
- OpenAlex
- W2561301122
- Cited by
- 945
- References
- 39
- Citations by year
- 2026: 45 · 2025: 66 · 2024: 75 · 2023: 87 · 2022: 110 · 2021: 146 · 2020: 113 · 2019: 126 · 2018: 93 · 2017: 79 · 2016: 3
- FWCI
- 52.16
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, other-oa)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion, other-oa)
- Explore Bristol Research (publishedVersion, other-oa)
- PubMed Central (acceptedVersion)
- Bristol Research (University of Bristol) (acceptedVersion, other-oa)
- Leiden Repository (Leiden University) (submittedVersion)
- Institutional Research Information System University of Turin (University of Turin) (submittedVersion, other-oa)
- Research Portal (King's College London) (submittedVersion, other-oa)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- RePub (Erasmus University Rotterdam) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) (submittedVersion, other-oa)
- DR-NTU (Nanyang Technological University) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Surrey Research Insight Open Access (The University of Surrey) (submittedVersion)
- Institutional Repositories DataBase (IRDB) (submittedVersion, cc-by-nc-nd)
- UnissResearch (Università degli Studi di Sassari) (submittedVersion)
- mediaTUM (Technical University of Munich) (submittedVersion)
- Site cant be reached (submittedVersion)
- PuSH - Publication Server of Helmholtz Zentrum München (submittedVersion)
- Spiral (Imperial College London) (submittedVersion)
- OPUS (Augsburg University) (submittedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, other-oa)
- Research Publications (Maastricht University) (submittedVersion)
- Funders
- Wellcome Trust (084723)
- National Institute for Health and Care Research (NF-SI-0611-10136, NF-SI-0611-10275, NF-SI-0611-10099, RP-2015-06-005, RP-PG-0407-10371, NF-SI-0514-10027, ACF-2009-18-005)
- British Heart Foundation (PG/14/56/30976, RG/14/5/30893)
- European Commission (305280)
- University of Bristol
- German-Israeli Foundation for Scientific Research and Development
- Eesti Teadusagentuur
- Tartu Ülikool (SP1GVARENG)
- Directorate for Biological Sciences
- Medical Research Council (MR/L01341X/1, MR/K002414/1, MC_PC_15018, MR/N015355/1, MC_G0802523)
- Biotechnology and Biological Sciences Research Council (BB/I025263/1)
- Economic and Social Research Council
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Birth, Development, and Health
- Keywords
- DNA methylation, body mass index, obesity, type 2 diabetes, adipose tissue, blood DNA methylation, methylation risk score, inflammation, gene expression signatures, epigenetic biomarkers
- MeSH terms
- Adipose Tissue, Blood, Diabetes Mellitus, Type 2, Europe, Female, Genetic Markers, Humans, India, Male, Obesity, Cohort Studies, Body Mass Index, DNA Methylation, Genetic Predisposition to Disease, Epigenesis, Genetic, White People, Asian People, Adiposity, Overweight, Genome-Wide Association Study, Epigenomics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
