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
Flagged first, then by citations
Cited by
Sorted by citations
Items 601–700 of 982
Juvinao-Quintero, D. L., Cárdenas, A., Perron, P., Bouchard, L., Lutz, S. M., & Hivert, M. (2021) · Epigenomics · doi:10.2217/epi-2021-0220 · Cited by 6
The epigenomic basis of common diseases
Rodger, E. J., & Chatterjee, A. (2017) · Clinical Epigenetics · doi:10.1186/s13148-017-0313-y · Cited by 6
Guo, Q., Zheng, R., Huang, J., He, M. X., Wang, Y., Guo, Z., Sun, L., & Chen, P. (2018) · Frontiers in Genetics · doi:10.3389/fgene.2018.00663 · Cited by 6
A Key GWAS-Identified Genetic Variant Contributes to Hyperlipidemia by Upregulating miR-320a
Yin, Z., Zhao, Y., Du, H., Nie, X., Li, H., Fan, J., He, M., Dai, B., Zhang, X., Yuan, S., et al. (2020) · iScience · doi:10.1016/j.isci.2020.101788 · Cited by 6
Network reconstruction for trans acting genetic loci using multi-omics data and prior information
Hawe, J. S., Saha, A., Waldenberger, M., Kunze, S., Wahl, S., Müller‐Nurasyid, M., Prokisch, H., Grallert, H., Herder, C., Peters, A., et al. (2022) · Genome Medicine · doi:10.1186/s13073-022-01124-9 · Cited by 6
Self-citationRancourt, R. C., Ott, R., Schellong, K., Ziska, T., Melchior, K., Henrich, W., & Plagemann, A. (2020) · Epigenetics · doi:10.1080/15592294.2020.1805695 · Cited by 6
Grice, B. A., & Elmendorf, J. S. (2017) · US Endocrinology · doi:10.17925/use.2017.13.02.63 · Cited by 6
Epigenetics of Childhood Obesity
Keller, M., Vogel, M., Garten, A., Svensson, S. I. A., Rossi, E. G., Kovacs, P. L., Böttcher, Y., & Kieß, W. (2025) · Hormone Research in Paediatrics · doi:10.1159/000543467 · Cited by 6
Risk factors and prediction for pediatric obesity: current status and future perspectives
Minabe, S., Sutoh, Y., Otsuka‐Yamasaki, Y., Komaki, S., Nakao, M., Ohmomo, H., Hasegawa, Y., Ishigaki, Y., Tanno, K., Sasaki, M., et al. (2025) · Endocrine Journal · doi:10.1507/endocrj.ej24-0724 · Cited by 7
Independent and Combined Impacts of Obesity and Aging on Chronic Kidney Disease
Ma, Y., Xu, C., Shen, Y., Cheng, Y., & Zhao, W. (2025) · Obesity Reviews · doi:10.1111/obr.70023 · Cited by 7
Cai, D., Li, Y., Sun, D., Zhang, Y., Bai, W., & Li, X. (2025) · Journal of Advanced Research · doi:10.1016/j.jare.2025.10.021 · Cited by 5
Zhang, Y., Yao, Y., Tang, Y., Cheng, Y., Xu, Y., He, Y., Qi, Y., & Li, J. (2026) · Nature Computational Science · doi:10.1038/s43588-025-00939-x · Cited by 5
Dubath, C., Porcu, E., Delacrétaz, A., Grosu, C., Laaboub, N., Piras, M., von Gunten, A., Conus, P., Plessen, K. J., Kutalik, Z., et al. (2024) · Clinical Epigenetics · doi:10.1186/s13148-024-01648-4 · Cited by 5
Of mice and humans through the looking glass : “reflections” on epigenetics of lipid metabolism
Longo, R., Ferrari, A., Zocchi, M., & Crestani, M. (2017) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2017.01.005 · Cited by 6
Titanji, B. K., Lee, M., Wang, Z., Chen, J., Hui, Q., Re, V. L., So‐Armah, K., Justice, A. C., Xu, K., Freiberg, M. S., et al. (2022) · Frontiers in Genetics · doi:10.2139/ssrn.4149559 · Cited by 6
DNA Methylation Remodeling after Bariatric Surgery Correlates with Clinical Parameters
Sánchez, E. C., Barajas-Olmos, F. M., Baca, P., Zerrweck, C., Guilbert, L., Martínez-Hernández, A. G., Centeno-Cruz, F., & Orozco, L. (2023) · Advanced Biology · doi:10.1002/adbi.202300001 · Cited by 6
Kim, J. E., Jo, M.-J., Cho, E., Ahn, S. Y., Kwon, Y., Gim, J., & Ko, G.-J. (2023) · Genes · doi:10.3390/genes14071489 · Cited by 7
Opsahl, J. O., Fragoso-Bargas, N., Lee, Y., Carlsen, E. Ø., Lekanova, N., Qvigstad, E., Sletner, L., Jenum, A. K., Lee-Ødegård, S., Prasad, R. B., et al. (2024) · International Journal of Obesity · doi:10.1038/s41366-024-01458-x · Cited by 5
Models for depression recognition and efficacy assessment based on clinical and sequencing data
Hu, Y., Jiang, C., Li, J., & Xu, Z. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e33973 · Cited by 5
Deep Diving Into the Cardiovascular Health Paradox: A Journey Towards Personalized Prevention
Gaye, B., Bouatia‐Naji, N., Sims, M., Cuffee, Y., Ogungbe, O., Michos, E. D., Lassale, C. M., Sabouret, P. F., & Jouven, X. (2024) · Public health reviews · doi:10.3389/phrs.2024.1606879 · Cited by 5
Yim, G., Roberts, A., Ascherio, A., Wypij, D., Kioumourtzoglou, M., & Weisskopf, M. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.18824 · Cited by 6
Xargay‐Torrent, S., Mas‐Parés, B., Carreras‐Badosa, G., Lizárraga-Mollinedo, E., Tibau, J., Reixach, J., Platero-Gutierrez, E., Prats‐Puig, A., de Zegher, F., Ibáñez, L., et al. (2022) · International Journal of Obesity · doi:10.1038/s41366-022-01076-5 · Cited by 5
Context-dependent environmental associations with endometrial cancer histotype and genotype
Borrego, S. N., Kurnit, K. C., Turner, L. J., & Broaddus, R. R. (2023) · International Journal of Gynecological Cancer · doi:10.1136/ijgc-2023-004330 · Cited by 5
An epigenome-wide association study of child appetitive traits and DNA methylation
Harris, H. A., Friedman, C., Starling, A. P., Dabelea, D., Johnson, S. L., Fuemmeler, B. F., Jima, D. D., Murphy, S. K., Hoyo, C., Jansen, P. W., et al. (2023) · Appetite · doi:10.1016/j.appet.2023.107086 · Cited by 5
Amaral, A. F. S., Imboden, M., Wielscher, M., Rezwan, F. I., Minelli, C., García‐Aymerich, J., Peralta, G. P., AUVINEN, J. P., Jeong, A., Schaffner, E., et al. (2020) · BMC Pulmonary Medicine · doi:10.1186/s12890-020-01212-9 · Cited by 5
Self-citationSystematic evaluation of the causal relationship between DNA methylation and C-reactive proteinPreprint
Walton, E., Hemani, G., Dehghan, A., Relton, C. L., & Smith, G. D. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/397836 · Cited by 5
Self-citationBergamaschi, A., Ning, Y., Ku, C., Ellison, C., Collin, F., Guler, G. D., Phillips, T. C., McCarthy, E., Wang, W., Antoine, M., et al. (2020) · medRxiv · doi:10.1101/2020.01.22.20018382 · Cited by 5
Shen, X., Barbu, M. C., Caramaschi, D., Arathimos, R., Czamara, D., David, F. S., Dearman, A., Dilkes, E., Herrera-Rivero, M., Huider, F., et al. (2023) · medRxiv · doi:10.1101/2023.10.27.23297630 · Cited by 5
Self-citationGenomics reveals eleven obesity endotypes with distinct biological and phenotypic signaturesPreprint
Kim, M. S., Song, M., Kim, H., Park, S., Shim, I., Lim, S., Kim, B., Chen, X., Sui, Y., Cho, S. M. J., et al. (2025) · medRxiv · doi:10.1101/2025.06.30.25330607 · Cited by 5
Identification of Circulating Proteins Associated With Blood Pressure
Xu, S., Wen, S., Zong, X., Wen, S., Zhu, J., Zheng, W., Wang, Z., Cao, P., Liang, Z., Ding, C., et al. (2024) · Hypertension · doi:10.1161/hypertensionaha.124.24151 · Cited by 4
Thong, L. Y., McRae, A. F., Sirota, M., Giudice, L. C., Montgomery, G. W., & Mortlock, S. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26083760 · Cited by 5
Deep Phenotyping of Obesity: Electronic Health Record–Based Temporal Modeling Study
Ruan, X., Lu, S., Wang, L., Wen, A., Murali, S. B., & Liu, H. (2025) · Journal of Medical Internet Research · doi:10.2196/70140 · Cited by 6
Current Updates on the Understanding of the Role of DNA Methylation on Obesity
Lastialno, M. P., Bashari, M. H., & Ariyanto, E. F. (2024) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s471348 · Cited by 4
Cecere, F., Relator, R., Levy, M. A., Verma, A., McConkey, H., Mele, B. H., Pignata, L., Giaccari, C., D’Angelo, E., Saha, S., et al. (2025) · Epigenetics & Chromatin · doi:10.1186/s13072-025-00612-7 · Cited by 4
New insights into understanding obesity: from measures to mechanisms
Timpson, N., Wade, K., Smith, M. L., Goudswaard, L., Sattar, N., Pournaras, D., & Corbin, L. J. (2024) · BMJ Medicine · doi:10.1136/bmjmed-2023-000787 · Cited by 4
Epigenetyczna regulacja ekspresji genów â nowy mechanizm łączący otyłość z rozwojem cukrzycy typu 2
Dobosz, A. M., Dziewulska, A., & Dobrzyń, A. (2018) · Postępy Biochemii · doi:10.18388/pb.2018_126 · Cited by 4
Динамика индекса массы тела российских мужчин и женщин: возраст–период–когорта
Валентинович, А. А., Александрова, Е. А., & Габдулхаевна, Г. Ф. (2021) · Демографическое обозрение · doi:10.17323/demreview.v8i1.12393 · Cited by 4
Sports activities at a young age decrease hypertension risk—The J‐Fit + study
Kumagai, H., Miyamoto‐Mikami, E., Someya, Y., Kidokoro, T., Miller, B., Kumagai, M. E., Yoshioka, M., Choi, Y., Tagawa, K., Maeda, S., et al. (2022) · Physiological Reports · doi:10.14814/phy2.15364 · Cited by 4
Cui, M., Wang, C., Qi, S., Ren, H., Li, L., Li, S., Song, Z., Lin, W., & Zhang, R. (2022) · Genomics · doi:10.1016/j.ygeno.2022.110435 · Cited by 4
Intergenerational relationship between parental famine exposure and offspring’s obesity risks
Hu, K., Cui, A., & Zhang, X. (2023) · Journal of Epidemiology & Community Health · doi:10.1136/jech-2022-220024 · Cited by 4
Majithia, A. R., Altshuler, D., & Hirschhorn, J. N. (2016) · Elsevier eBooks · doi:10.1016/b978-0-323-29738-7.00004-6 · Cited by 4
Assessing genetic risk of hypertension at an early age: future research directions
Wang, X., & Snieder, H. (2017) · Expert Review of Cardiovascular Therapy · doi:10.1080/14779072.2017.1376656 · Cited by 4
Devising reliable and accurate epigenetic predictors: choosing the optimal computational solutionPreprint
Vavourakis, C. D., Herzog, C. M. S., & Widschwendter, M. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.10.13.562187 · Cited by 4
Does Patient’s Metabolic and Bariatric Surgery Knowledge Predict Optimal Clinical Outcomes?
Froylich, D., Pinkhasova, D., Borisover, E., Gerszman, E., Khatib, E., Mahamid, A., Haddad, R., & Hazzan, D. (2024) · Obesity Surgery · doi:10.1007/s11695-024-07474-0 · Cited by 3
Molecular Effects of Physical Activity and Body Composition: A Systematic Review and Meta-Analysis
Chambers, J., Roscoe, C. M. P., Chidley, C., Lovett, A., & Duggirala, A. (2025) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph22040637 · Cited by 4
Self-citationDNA methylation signatures of arsenic exposure and obesity
Noronha, N. Y., Rodrigues, G. D. S., Watanabe, L. M., Noma, I. H. Y., Cazier, J., Sae‐Lee, C., Chitta, P., Pereira, V. A. B., Pinhel, M. A. D. S., Diani, L. M., et al. (2025) · Current Zoology · doi:10.1093/eep/dvaf019 · Cited by 3
Sinke, L., van Dongen, J., Delerue, T., Wilson, R., Xia, Y., Beekman, M., Willemsen, G. A. H. M., Gieger, C., Herder, C., Köenig, W., et al. (2026) · Communications Biology · doi:10.1038/s42003-026-09520-2 · Cited by 4
Self-citationExercise, Gene Regulation, and Cardiometabolic Disease
Chapman, M., & Sundberg, C. J. (2019) · Springer eBooks · doi:10.1007/978-3-030-04816-7_2 · Cited by 3
The Potential of Epigenetic Compounds in Treating Diabetes
Gray, S. G. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-812215-0.00017-0 · Cited by 3
Huo, W., Hu, H., Li, T.-Z., Yuan, L., Zhang, J., Feng, Y., Wu, Y., Fu, X., Ke, Y., Wang, M., et al. (2023) · Journal of Diabetes · doi:10.1111/1753-0407.13512 · Cited by 3
Self-citationGlover, L. M., Lilly, A. G., Justice, A. E., Howard, A. G., Staley, B. S., Wang, Y., Kamens, H. M., Ferrier, K., Bressler, J., Loehr, L. R., et al. (2024) · Human Molecular Genetics · doi:10.1093/hmg/ddae112 · Cited by 3
Mechanistic implications of diabetes leading to bone pathology
Konar, M., Kaur, B., & Sharma, S. (2024) · Journal of Orthopaedic Reports · doi:10.1016/j.jorep.2024.100485 · Cited by 3
Xu, Y., Liu, L.-Z., Lu, H.-Q., Yang, X., Guo, S., Tang, Y., & Gong, K. (2024) · BMC Surgery · doi:10.1186/s12893-024-02621-x · Cited by 3
Ramírez‐Vélez, R., Pérez-Sousa, M. Á., González‐Jiménez, E., Correa‐Rodríguez, M., Calderón-González, J. C., Dávila-Grisalez, A. A., & Schmidt‐RioValle, J. (2024) · Current Problems in Cardiology · doi:10.1016/j.cpcardiol.2024.102924 · Cited by 3
Wu, Z.-C., Dai, Z., Feng, Z.-H., Qiu, Y., Zhu, Z.-Z., & Xu, L.-L. (2024) · The spine journal · doi:10.1016/j.spinee.2024.10.015 · Cited by 3
Exploring the genetic contribution in obesity: An overview of dopaminergic system genes
Teixeira, M. R., Silva, T., Felício, R. D. F. M., Bozza, P. T., Zembrzuski, V. M., Neto, C. B. D. M., da Fonseca, A. C. P., Kohlrausch, F. B., & Salum, K. C. R. (2024) · Behavioural Brain Research · doi:10.1016/j.bbr.2024.115401 · Cited by 3
Lin, L., Zhao, W., Li, Z., Ratliff, S. M., Wang, Y.-Z., Mitchell, C. M., Faul, J. D., Kardia, S. L. R., Birditt, K. S., & Smith, J. A. (2025) · Epigenetics · doi:10.1080/15592294.2025.2469205 · Cited by 3
Kaczmarczyk, B., de la Calle-Fabregat, C., Conde, A., Duarte, A. C., Mena-Vázquez, N., Fernández-Nebro, A., Triguero-Martinez, A., Castañeda, S., Sobrin, R. D.-S., Mera-Varela, A., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-99755-6
Twin pair analysis uncovers links between DNA methylation, mitochondrial DNA quantity and obesity
Heikkinen, A., Esser, V. F. C., Lee, S. H., Lundgren, S., Hakkarainen, A., Lundbom, J., Kuula, J., Groop, P., Heinonen, S., Villicaña, S., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-59576-7 · Cited by 3
Self-citationEpipwR: efficient power analysis for EWAS with continuous outcomes
Barth, J., & Reynolds, A. W. (2024) · Bioinformatics Advances · doi:10.1093/bioadv/vbaf150 · Cited by 3
Laubach, Z. M., Faulk, C. D., Cárdenas, A., & Perng, W. (2017) · Springer eBooks · doi:10.1007/978-3-319-31143-2_107-1 · Cited by 3
Food components affecting the epigenome: “Ergogenetic” aids for performance
Izquierdo, A. G., Portela, M., Lorenzo, P. M., Mallo, F., & Crujeiras, A. B. (2020) · PharmaNutrition · doi:10.1016/j.phanu.2020.100231 · Cited by 3
DNA methylation in infants with low and high body fatness
Henriksson, P., Lentini, A., Altmäe, S., Brodin, D., Müller, P., Forsum, E., Nestor, C. E., & Löf, M. (2020) · BMC Genomics · doi:10.1186/s12864-020-07169-7 · Cited by 3
Cell-Type Heterogeneity in DNA Methylation Studies: Statistical Methods and Guidelines
Teschendorff, A. E. (2022) · Springer eBooks · doi:10.1007/978-3-030-94475-9_4 · Cited by 2
Wang, X., Zhao, D., Beeraka, N. M., Spandana, T., Sri, C. D., Nishanth, V. V., Uthaiah, C. A., Leihang, Z., Sugur, K., Liu, J., et al. (2022) · Current Medicinal Chemistry · doi:10.2174/0929867329666220802090446 · Cited by 3
Chang, R., Zhang, Y., Sun, J., Xu, K., Li, C., Zhang, J., Mei, W., Zhang, H., & Zhang, J. (2022) · Pediatric Obesity · doi:10.1111/ijpo.12969 · Cited by 3
Beigrezaei, S., Jambarsang, S., Khayyatzadeh, S. S., Mirzaei, M., Mehrparvar, A. H., & Salehi‐Abargouei, A. (2023) · Scientific Reports · doi:10.1038/s41598-023-27645-w · Cited by 5
Domingo‐Relloso, A., Yang, F., Rodriguez-Hernandez, Z., Haack, K., Cole, S. A., Navas‐Acién, A., Téllez-Plaza, M., & Bermúdez, J. D. (2024) · American Journal of Epidemiology · doi:10.1093/aje/kwae006 · Cited by 4
Cantarero-Cuenca, A., Gonzalez-Jimenez, A., Martín‐Núñez, G. M., Garrido‐Sánchez, L., Ranea, J. A. G., & Tinahones, F. J. (2024) · Journal of Molecular Medicine · doi:10.1007/s00109-024-02475-z · Cited by 4
Current status of anti-obesity medications and performance, an EHR based survey
Ruan, X., Li, R., Wang, L., Lu, S., Wen, A., Murali, S. B., & Liu, H. (2026) · BMC Endocrine Disorders · doi:10.1186/s12902-026-02423-7 · Cited by 3
Epigenetic Prospects in Epidemiology and Public Health
Li, S., Dugué, P., Milne, R. L., & Hopper, J. L. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-812215-0.00033-9 · Cited by 4
Zhang, H., Mo, X., Zhou, Z., Zhu, Z., Huangfu, X., Xu, T., Wang, A., Guo, Z., & Zhang, Y. (2018) · Journal of Genetics · doi:10.1007/s12041-018-0992-y · Cited by 3
Genetics of Central Obesity and Body Fat
Heianza, Y., & Qi, L. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-816093-0.00014-8 · Cited by 4
Influence of Maternal Obesity on the Long-Term Health of Offspring
Johns, E. C., Stoye, D. Q., Liu, Y., & Reynolds, R. M. (2019) · Healthy ageing and longevity · doi:10.1007/978-3-030-24958-8_11 · Cited by 3
Epigenetic and Developmental Basis of Risk of Obesity and Metabolic Disease
Low, F. M., Gluckman, P. D., & Hanson, M. A. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-819801-8.00014-4 · Cited by 4
Ceglarek, V. M., Bertasso, I. M., Pietrobon, C. B., Scomazzon, S. P., Leite, N. C., Bonfleur, M. L., Araújo, A. C. F., Balbo, S. L., & Grassiolli, S. (2021) · Scientific Reports · doi:10.1038/s41598-020-80104-8 · Cited by 3
Nojima, S., Fuchikami, M., Kataoka, T., Araki, M., Omura, J., Miyagi, T., Okamoto, Y., Hishimoto, A., & Morinobu, S. (2021) · The European Journal of Psychiatry · doi:10.1016/j.ejpsy.2020.08.003 · Cited by 3
Zannas, A. S., Jia, M., Hafner, K., Baumert, J. J., Wiechmann, T., Pape, J. C., Arloth, J., Ködel, M., Martinelli, S., Roitman, M., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/484709 · Cited by 3
Self-citationEpigenome-wide association study of left-handedness for different tissues and agesPreprint
Odintsova, V. V., Suderman, M. J., Hagenbeek, F. A., Caramaschi, D., Hottenga, J., Pool, R., Dolan, C. V., Ligthart, L., van Beijsterveldt, C., Willemsen, G. A. H. M., et al. (2021) · Research Square · doi:10.21203/rs.3.rs-375556/v1 · Cited by 3
Self-citationRaffington, L., Tanksley, P. T., Vinnik, L., Sabhlok, A., Patterson, M. W., Mallard, T. T., Malanchini, M., Ayorech, Z., Tucker–Drob, E. M., & Harden, K. P. (2021) · medRxiv · doi:10.1101/2021.09.17.21263582 · Cited by 3
Chen, 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/v2 · Cited by 3
Anguita‐Ruiz, A., Torres‐Martos, Á., Ruiz‐Ojeda, F. J., Alcalá‐Fdez, J., Bueno, G., Gil‐Campos, M., Roa-Rivas, J., Moreno, L. A., Gil, Á., Leis, R., et al. (2022) · medRxiv · doi:10.1101/2022.12.13.22283415 · Cited by 3
Fang, 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
Sun, K., Chen, Y., Lam, H. S., Nelson, E. A. S., Kong, A. P. S., Yeung, S. L. A., & Hui, L. L. (2025) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2025.2466758 · Cited by 2
DNA methylation predicts infection risk in kidney transplant recipients
Hsu, F., Pickering, H. C., Rubbi, L., Thompson, M. J., Reed, E. F., Pellegrini, M. A., & Schaenman, J. M. D. (2025) · Life Science Alliance · doi:10.26508/lsa.202403124 · Cited by 2
The effect of in vitro fertilization on the cardiac health of mice
Zhang, Z., Li, L., Duan, Y., Zhou, J., Gao, S., & Cui, L. (2025) · BMC Cardiovascular Disorders · doi:10.1186/s12872-025-04944-w · Cited by 2
Liu, C., Young, A., Abi, N., Chen, J., Gyorfy, M. F., Li, Y., Sun, S., Zhou, J. J., & Sun, Y. V. (2025) · Epigenomics · doi:10.1080/17501911.2025.2540273 · Cited by 4
Molecular Mechanisms Against Successful Weight Loss and Promising Treatment Options in Obesity
Szekeres, Z., Szabados, E., & Pálfi, A. (2025) · Biomedicines · doi:10.3390/biomedicines13081989 · Cited by 4
KnowYourCG: Facilitating base-level sparse methylome interpretation
Goldberg, D. C., Fu, H., Atkins, D., Moyer, E. J., Lee, C. N., Deng, Y., & Zhou, W. (2025) · Science Advances · doi:10.1126/sciadv.adw3027 · Cited by 4
Robertson, J. A., Bajzík, J., Vernardis, S. I., Chybowska, A. D., McCartney, D. L., Grauslys, A., Mur, J., Smith, H. M., Campbell, A., Drake, C., et al. (2025) · Genome biology · doi:10.1186/s13059-025-03892-0 · Cited by 2
Wehnes, T., Wang, W., Tay, J. H., Guan, L., Feng, L., Ho, C., Ng, T. P., Kennedy, B. K., Venkitaraman, A. R., Koh, W., et al. (2025) · Communications Medicine · doi:10.1038/s43856-025-01288-6 · Cited by 2
Adversity, adiposity, nutrition and metabolic well-being in multi-ethnic Asia
Mina, T. H., Jain, P. R., Forouhi, N. G., & Chambers, J. C. (2026) · Nature Metabolism · doi:10.1038/s42255-025-01441-4 · Cited by 3
Self-citationInteractions between nutrition and the epigenome: how can it be harnessed for public health?
Anastasopoulou, M., Dereki, I., Sgourou, A., & Lagoumintzis, G. (2026) · Future Science OA · doi:10.1080/20565623.2026.2641015 · Cited by 5
Rodríguez-Vera, D., Gómez-Martínez, M. A., Herrera-Picazo, M. V., Anguiano‐Robledo, L., Tufiño, C., Bustamante-Tenorio, C. C., Soriano-Ursua, M. A., Morales-González, Á., Madrigal‐Santillán, E., Vergara‐Castañeda, A., et al. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27104372 · Cited by 2
Polygene Varianten und Epigenetik bei Adipositas
Giuranna, J., Diebels, I., & Hinney, A. (2017) · Medizinische Genetik · doi:10.1007/s11825-017-0156-0 · Cited by 2
Noronha, N. Y., Rodrigues, G. D. S., Pinhel, M. A. D. S., Cazier, J., Watanabe, L. M., de Menezes, A. N., Júnior, C. R. B., Nicoletti, C. F., de Oliveira, B. A. P., Schineider, I. M., et al. (2022) · Journal of Visualized Experiments · doi:10.3791/62598-v · Cited by 2
A bibliometric analysis of DNA methylation in cardiovascular diseases from 2001 to 2021
Zhang, Y., Jia, Z., Zhou, Q., Zhang, Y., Li, D., Qi, Y., & Xu, F. (2022) · Medicine · doi:10.1097/md.0000000000030029 · Cited by 2
Zheng, X., & Zhao, X. (2022) · Medical Hypotheses · doi:10.1016/j.mehy.2022.110950 · Cited by 2
Duarte, G. C. K., Pellenz, F. M., Crispim, D., & Assmann, T. S. (2023) · Archives of Endocrinology and Metabolism · doi:10.20945/2359-3997000000604 · Cited by 2
Baiju, N., Rylander, C., Sætrom, P., Sandanger, T. M., & Nøst, T. H. (2023) · Obesity · doi:10.1002/oby.23836 · Cited by 2
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