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Genomic and phenotypic insights from an atlas of genetic effects on DNA methylation
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Abstract
Characterizing genetic influences on DNA methylation (DNAm) provides an opportunity to understand mechanisms underpinning gene regulation and disease. In the present study, we describe results of DNAm quantitative trait locus (mQTL) analyses on 32,851 participants, identifying genetic variants associated with DNAm at 420,509 DNAm sites in blood. We present a database of >270,000 independent mQTLs, of which 8.5% comprise long-range (trans) associations. Identified mQTL associations explain 15-17% of the additive genetic variance of DNAm. We show that the genetic architecture of DNAm levels is highly polygenic. Using shared genetic control between distal DNAm sites, we constructed networks, identifying 405 discrete genomic communities enriched for genomic annotations and complex traits. Shared genetic variants are associated with both DNAm levels and complex diseases, but only in a minority of cases do these associations reflect causal relationships from DNAm to trait or vice versa, indicating a more complex genotype-phenotype map than previously anticipated.
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“In males, among the 126 CpGs mapped to the AD-associated CpGs or located in AD-associated DMRs (Supplementary Tables 2, 5), 67 CpGs had cis mQTLs, and 3 CpGs had both cis [58] and trans mQTLs.”
From Distinct sex-specific DNA methylation differences in Alzheimer’s disease (2022) · cites this paper as [58]
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“These results are consistent with the previous observation that a substantial proportion (about 45%) of the DNA methylation sites targeted by the Illumina 450k array are influenced by genetic variants in the blood [58].”
From Distinct sex-specific DNA methylation differences in Alzheimer’s disease (2022) · cites this paper as [58]
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“EWAS addressing the joint effect of genotype and environment are still in its infancy (Min et al., 2021).”
From Can epigenetics shine a light on the biological pathways underlying major mental disorders? (2022) · cites this paper as Min et al., 2021
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“the G allele of the lead variant rs911196 increases methylation of cg01799681, cg16867657, cg21572722, and cg23642061 in whole blood (62, 63)”
From Retinal polyunsaturated fatty acid supplementation reverses aging-related vision decline in mice (2025) · cites this paper as [63]
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Items 201–300 of 428
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The association between neighborhood deprivation and DNA methylation in an autopsy cohort
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“51 This SNP is also associated with levels of methylation in SPRED2 in GoDMC datasets, 48 along with many other SNPs in the same gene, which could suggest that the differential methylation we observe is due solely to genetic variation between individuals with diabetes and those without.”
BackgroundMethodSelf-citationEpigenetic clock work ticks forward
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“The meQTL data were extracted from the GoDMC database (http://mqtldb.godmc. org.uk/downloads, accessed on 27 February 2023) [15].”
MethodPleiotropic influence of DNA methylation QTLs on physiological and ageing traits
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“As expected, cis-meQTLs are associated with higher LOD scores compared to the trans-meQTLs [16].”
BackgroundA comparison of the genes and genesets identified by GWAS and EWAS of fifteen complex traits
Battram, T., Gaunt, T. R., Relton, C. L., Timpson, N. J., & Hemani, G. (2022) · Nature Communications · doi:10.1038/s41467-022-35037-3 · Cited by 35
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“It was reported that in cis mQTLs have much bigger effect sizes than in trans mQTLs [12].”
BackgroundInfluentialQuantifying mediation between omics layers and complex traits
Sadler, M., Auwerx, C., Porcu, E., & Kutalik, Z. (2021) · bioRxiv · doi:10.1101/2021.09.29.462396 · Cited by 6
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“35 In addition, data from the GoDMC consortium 36 indicate that rs512770 is associated with altered whole-blood DNA methylation at several CpG sites within the ABO locus, which could influence ABO gene expression or glycosyltransferase activity.”
Self-citationLeng, R., Zhang, J., Du, C., Ye, J., Zhao, Y., Hu, W., & Ye, D. (2025) · Environmental Science & Technology · doi:10.1021/acs.est.5c01573 · Cited by 5
Genetic regulation of fatty acid content in adipose tissue
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“Platforms such as GoDMC [ 43] also allow researchers to search CpG sites of interest and determine whether the observed DNAm differences relate to genetic variation (i.e., methylation QTLs (mQTLs)).”
Self-citationDifferential DNA methylation 7 months after SARS-CoV-2 infection
Hong, P., Waldenberger, M., Pritsch, M., Gilberg, L., Brand, I., Bruger, J., Frese, J., Castelletti, N., Garí, M., Geldmacher, C., et al. (2025) · Clinical Epigenetics · doi:10.1186/s13148-025-01866-4 · Cited by 5
“The publicly accessible database “Genetics of DNA Methylation Consortium” (GoDMC) was used to extract cis-and trans-methylation quantitative trait loci (meQTL) and expression quantitative trait methylation (eQTM) [33–35].”
Zakarya, R., Chan, Y. L., Wang, B., Thorpe, A., Idrees, S., Boedijono, F. S., Faiz, A., Hansbro, P. M., Xenaki, D., Ho, K., et al. (2025) · Communications Biology · doi:10.1038/s42003-025-07835-0 · Cited by 6
“However, unlike genetic polymorphisms, epigenetic modi fi cations can permutate in response to an individual ’ s environment and exert robustphenotypiceffects 38 – 40 .”
Self-citationMendelian Randomization Reveals Causalities Between DNA Methylation and Schizophrenia
Wang, D., Li, D., Dang, X., Mu, C., Liu, C., Zeng, Y., Yuan, Y., Teng, Z., Li, Y., & Luo, X. (2025) · Biological Psychiatry · doi:10.1016/j.biopsych.2025.03.012 · Cited by 8
Self-citationLi, W., Dong, P., Li, Y.-X., Tang, J.-X., Liu, S., Tu, L., & Xu, X. (2024) · Clinical Epigenetics · doi:10.1186/s13148-024-01791-y · Cited by 5
Genetic effects on the skin methylome in healthy older twins
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Self-citationCastellini-Pérez, O., Povedano, E., Barturen, G., Martínez-Bueno, M., Iakovliev, A., Kerick, M., López-Domínguez, R., Marañón, C., Martín, J., Ballestar, E., et al. (2024) · npj Genomic Medicine · doi:10.1038/s41525-024-00420-0 · Cited by 5
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“%) mapped to cis-methylation quantitative trait loci (meQTLs) identified in the EPIGEN MeQTL and GoDMC databases, respectively (65, 66).”
Epigenome-wide association study of dietary fatty acid intake
de Luna, J. L., Nounu, A., Neumeyer, S., Sinke, L., Wilson, R., Hellbach, F., Matías-García, P., Delerue, T., Winkelmann, J., Peters, A., et al. (2024) · Clinical Epigenetics · doi:10.1186/s13148-024-01643-9 · Cited by 5
“We also attempted to search for any methylation quantitative trait loci (mQTLs) using GoDMC [21] to carry out further causal analyses, but also found no SNPs associated with methylation of these DMPs.”
Self-citationMiller, R. G., Mychaleckyj, J., Onengut-Gumuscu, S., Orchard, T. J., & Costacou, T. (2024) · Ophthalmology Science · doi:10.1016/j.xops.2024.100497 · Cited by 5
“Results were compared to the Genetics of DNA Methylation Consortium database of meQTLs 21 and the Human Whole Blood meQTL Atlas from the Chronic Renal Insuf fi ciency Cohort.”
Zhu, Z., Chen, X., Zhang, S., Yu, R., Qi, C., Cheng, L., & Zhang, X. (2023) · Human Genetics · doi:10.1007/s00439-023-02602-9 · Cited by 5
Miller, R. G., Mychaleckyj, J., Onengut-Gumuscu, S., Feingold, E., Orchard, T., & Costacou, T. (2023) · Clinical Epigenetics · doi:10.1186/s13148-023-01539-0 · Cited by 5
“Results were compared to the Genetics of DNA Methylation Consortium (GoDMC) database of meQTLs [53] for external validation.”
ResultHu, J., Xu, X. P., Li, J., Jiang, Y., Hong, X., Rexrode, K. M., Wang, G., Hu, F. B., Zhang, H., Karmaus, W., et al. (2023) · Clinical Epigenetics · doi:10.1186/s13148-023-01442-8 · Cited by 7
“A recent study also identified shared genetic variants for DNAm levels and complex diseases [26].”
BackgroundSelf-citationEpigenome-wide association study of serum folate in maternal peripheral blood leukocytes
Fragoso-Bargas, N., Page, C., Joubert, B. R., London, S., Lee-Ødegård, S., Opsahl, J. O., Sletner, L., Jenum, A., Qvigstad, E., Prasad, R., et al. (2022) · medRxiv · doi:10.1101/2022.11.23.22282639 · Cited by 5
“uk/) [38], which consists of a meta-analysis of several cohorts with methylation at peripheral blood leukocytes, was also used to look for mQTLs as well.”
MethodFabrizio, F. P., Castellana, S., Centra, F., Sparaneo, A., Mastroianno, M., Mazza, T., Coco, M., Trombetta, D., Cingolani, N., Centonza, A., et al. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.968804 · Cited by 5
“The fluctuation of 5-mC level is generally associated with variation in the genes expression levels and contributes in many cases to the definition of clinical phenotypes, as well as representing in some clinical contexts a useful diagnostic biomarker in guiding therapeutical choices (3, 4).”
BackgroundHillary, R. F., McCartney, D. L., McRae, A. F., Campbell, A., Walker, R. M., Hayward, C., Horvath, S., Porteous, D. J., Evans, K. L., & Marioni, R. E. (2022) · Clinical Epigenetics · doi:10.1186/s13148-022-01320-9 · Cited by 12
“Most probes are likely to have a genetic variance component but effect sizes for mQTLs vary substantially with most probes explaining less than 5–10% of inter-individual variation in DNAm [16, 31].”
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“The GoDMC study identified meQTLs calculated in whole blood DNA samples with HumanMethylation450 or EPIC array profiles from 32,851 participants in the GoDMC cohort [71].”
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“Large scale initiatives such as GTEX, eQTLGen (49), Genetics of DNA Methylation Consortium (GoDMC) (50) and SCALLOP (51) have been established to identify these small effects that might play a role in disease etiology.”
BackgroundSelf-citationThe genetic basis for DNA methylation variation across tissues and development
Rosenski, J., Sabag, O., Marcus, E., Loyfer, N., Dor, Y., Cedar, H., & Kaplan, T. (2026) · Nature Communications · doi:10.1038/s41467-026-71693-5 · Cited by 5
“Indeed, half of our SD-ASM regions (17,145 out of the 33,574) overlap with previously annotated methylation quantitative trait locus (meQTL) target CpG sites (3.1-fold enrichment, p ≤ 1e-300), whereas the other 16,429 regions were not previously identi fi ed 14,16,19 .”
InfluentialXu, D., Jia, D., Fang, X., Chen, W., Liu, Y., Song, Q., & Song, X. (2025) · Journal of Ovarian Research · doi:10.1186/s13048-025-01889-8 · Cited by 5
“To investigate the causal effects of DNA methylation on PCOS, we utilized summary statistics for DNA methylation quantitative trait loci (mQTLs) from the GoDMC database (version 1.0; http://www.GoDMC.org.uk) [19].”
InfluentialIntegrating Multi-Omics Summary Data Identifies Candidate Molecular Mechanisms for Major Depression
Nisbet, L., Wu, Y., Adams, M. J., Lynall, M.-E., Hjerling‐Leffler, J., Wray, N. R., McIntosh, A. M., & Shen, X. (2025) · Biological Psychiatry · doi:10.1016/j.biopsych.2025.11.024 · Cited by 4
Self-citationCommon DNA sequence variation influences epigenetic aging in African populations
Meeks, G. L., Scelza, B. A., Asnake, H. M., Prall, S. P., Patin, É., Froment, A., Fagny, M., Quintana‐Murci, L., Henn, B. M., & Gopalan, S. (2025) · Communications Biology · doi:10.1038/s42003-025-08893-0 · Cited by 16
“…explained by the relatively high heritability of DNA methylation and the strong in fl uence of individual single nucleotide polymorphisms (SNPs) 46 – 48 ;10%ofCpGsitesexhibitheritabilitygreaterthan50%,andupto 45% of CpG sites assayed by the Illumina 450k array show in fl uence of methylation…”
Gao, J., Bi, X., Jiang, W., & Wang, Y. (2025) · Scientific Reports · doi:10.1038/s41598-025-12290-2 · Cited by 6
Molecular Effects of Physical Activity and Body Composition: A Systematic Review and Meta-Analysis
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“…against the epigenome-wide association studies (EWAS) [39], Accessible Resource for Integrated Epigenomic Studies (ARIES) [40], Genetics of DNA Methylation Consortium (GoDMC) [41] and Kyoto Encyclopaedia of Genes and Genomes (KEGG) [42] databases for gene or pathway associations with obesity.”
Interactive effects of genotype with prenatal stress on DNA methylation at birth
Mulder, R. H., Baltramonaityte, V., Defina, S., Trajanoska, K., Suderman, M., Schwarz, E., Boks, M. P. M., Walton, E., Cecil, C., & Felix, J. (2024) · Molecular Psychiatry · doi:10.1038/s41380-025-03312-6 · Cited by 4
“As a sensitivity analysis, we performed similar enrichment analyses to assess if suggestive SNPs and CpGs had been identi fi ed in an earlier large-scale methylation quantitative trait locus (meQTL) study [34].”
InfluentialSelf-citationHung, R. K. Y., Costeira, R., Chen, J., Schlosser, P., Grundner-Culemann, F., Booth, J. W., Sharpe, C. C., Bramham, K., Sun, Y. V., Marconi, V. C., et al. (2024) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfae237 · Cited by 5
“DNA methylation modifications are stable and partially under genetic control [7 ], but can also be malleable in response to stochastic effects and environmental exposures.”
InfluentialSelf-citationKiselev, I., Kulakova, O., Baturina, O., Kabilov, M., Boyko, A., & Favorova, O. (2024) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2024.105910 · Cited by 4
From GWASs toward Mechanistic Understanding with Case Studies in Dermatogenetics
Shen, S., Sobczyk, M. K., Paternoster, L., & Brown, S. (2024) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2024.03.013 · Cited by 4
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“Associations between DNA methylation of hm-CpGs and genetic variations were analysed with GoDMC (Min et al. 2021), which used imputed genotype data ( ∼ 10 million SNPs) from 36 European blood cohorts and HM450 arrays to study 27,750 individuals.”
Self-citationCheng, Y., Cai, B., Li, H., Zhang, X., DʼSouza, G., Shrestha, S., Edmonds, A., Meyers, J. L., Fischl, M. A., Kassaye, S., et al. (2024) · Genome biology · doi:10.1186/s13059-024-03411-7 · Cited by 4
“While for most meQTLs the direct impact on complex traits has not been widely reported [24], there have been studies showing that some meQTLs are associated with complex traits and may identify underlying pathways and mechanisms related to diseases [7, 8, 25].”
BackgroundDai, Y., Hsu, Y.-C., Fernandes, B. S., Zhang, K., Li, X., Enduru, N., Liu, A., Manuel, A. M., Jiang, X., Zhao, Z., et al. (2024) · Journal of Alzheimer s Disease · doi:10.3233/jad-231020 · Cited by 9
Sharkawy, M. E., Felix, J. F., Grote, V., Voortman, T., Jaddoe, V. W. V., Koletzko, B. V., & Küpers, L. K. (2024) · Epigenetics · doi:10.1080/15592294.2023.2299045 · Cited by 6
“We flagged CpGs potentially influenced by a single nucleotide polymorphism (polymorphic sites) [38,39] and CpGs listed as methylation quantitative trait loci (mQTLs) [40].”
BackgroundSelf-citationIslam, F., Lisoway, A. J., Oh, E. S., Fiori, L. M., Magarbeh, L., Elsheikh, S. S. M., Kim, H. K., Kloiber, S. M., Kennedy, J. L., Frey, B. N., et al. (2024) · Pharmacopsychiatry · doi:10.1055/a-2313-9979 · 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
“Based on the study by Min et al. (2021), CpGs in regions associated with both food responsiveness and food avoidant traits were more often related to mQTLs (food responsiveness: 58.7% vs. 40.8%, p = 0.002; food avoidant traits: 81.7% vs. 41.6%, p < 0.001).”
InfluentialSelf-citationOlowoyeye, C. A., & Aladesusi, G. (2021) · Indonesian Journal of Multidiciplinary Research · doi:10.17509/ijomr.v2i2.45781 · Cited by 4
“Independent studies carried out by Min et al .”
Challenges and future directions for Mendelian randomization
Sanderson, E. C. M., Levin, M. G., Walker, V. M., Yuan, S., Badini, I., Dolce, J., Mahida, K. J., Nho, J.-W., Pingault, J., Damrauer, S. M., et al. (2026) · Nature Genetics · doi:10.1038/s41588-026-02546-6 · Cited by 2
“Attempts to expand instruments to include trans -variants have been shown to induce substantial heterogeneity, consistent with the understanding that less-specific, smaller genetic effects on an exposure are more likely to capture heritable confounders 79 .”
Self-citationSyreeni, A., Dahlström, E., Smyth, L., Hill, C., Mutter, S., Harjutsalo, V., Chen, Z., Natarajan, R., Krolewski, A., Hirschhorn, J., et al. (2026) · Diabetologia · doi:10.1007/s00125-025-06661-7 · Cited by 3
“The trans -meQTL rs17611866, a missense variant p.Val325Ala in ZNF75A , associates (in trans ) with methylation at cg17944885 [18–20 , 36] and expression To investigate the meQTL variants, we studied their associations with diabetes and complication-related traits in the Finnish biobank (FinnGen)…”
InfluentialEdwards, K., Merrill, S. M., Konwar, C., Jude, M. S., Zhuang, B. C., Meijer, M., Navarro‐Delgado, E. I., MacIsaac, J. L., Mandhane, P. J., Simons, E., et al. (2025) · Communications Biology · doi:10.1038/s42003-025-08844-9 · Cited by 5
Self-citationReisinger, S. N., & Hannan, A. J. (2025) · Nature Mental Health · doi:10.1038/s44220-025-00495-3 · Cited by 5
“Epigenetic mechanisms appear to be uniquely malleable in response to environmental exposures and experience and they can modulate gene expression; however, epigenetic programming is also strongly determined by an individual’s genetics 189 .”
Herzog, C. M. S., Vavourakis, C. D., Redl, E., Hagen, M., Knoll, G., Watschinger, C., Kumar, U., Theeuwes, B., Gasser, J., Zollner-Kiechl, S., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.30.673115 · Cited by 3
Qiu, Y., Zhang, H., Yu, X., Pan, J., Xiao, D., Miao, H., Wang, R., Shen, N., Pu, P., Zhou, Y. ‐., et al. (2025) · BMC Cancer · doi:10.1186/s12885-025-14693-w · Cited by 3
“Methylation quantitative trait loci (mQTLs) meeting epigenome-wide significance ( P 5 × 10 − 8 ) were curated from the GoDMC consortium to establish genetic instruments [22].”
Self-citationJeon, Y., Kwon, Y., Kim, Y. J., Jeon, S., Ryu, H., An, K., Kim, B.-C., Kim, W., Lee, S. Y., Bae, J., et al. (2025) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.125.322503 · Cited by 4
“Specifically, the GoDMC meQTL database 31 and the AMI GWAS summary performed by Hartiala et al 2 were utilized.”
Adverse childhood experiences and cardiometabolic biomarkers: A causal analysis
He, F., Zhang, H., Zheng, G., Zhou, B., Fang, Z., Zhu, H., Dong, Y., & Hao, G. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.04.039 · Cited by 5
Self-citationMarques, I. F., Domènech-Panicello, C., Geurtsen, M. L., Hoang, T. T., Richmond, R. C., Polinski, K. J., Sirignano, L., Page, C. M., Binter, A.-C., Everson, T. M., et al. (2025) · Clinical Epigenetics · doi:10.1186/s13148-024-01810-y · Cited by 3
“To examine whether there might be any genetic effects on the FDR-significant CpGs, we investigated whether these were associated with genetic variants, i.e., methylation quantitative trait loci (mQTLs), based on two available databases [50, 51].”
InfluentialSelf-citationCOVID-19 related epigenetic changes and atopic dermatitis: An exploratory analysis
Tang, Z., Chen, Y., Ouyang, Y.-Z., Peng, Y., & Man, X. (2025) · The World Allergy Organization Journal · doi:10.1016/j.waojou.2024.101022 · Cited by 3
“20 As for eQTL data, candidate cis -eQTLs were de fi ned with the same criteria, (cid:2) 1 Mb from the center of the corresponding gene and P 5e-8, in both eQTL databases.”
Drouard, G., Wang, Z., Heikkinen, A., Foraster, M., Júlvez, J., Kanninen, K. M., KAMP, I. V., Pirinen, M., Ollikainen, M., & Kaprio, J. A. (2024) · Scientific Reports · doi:10.1038/s41598-024-72354-7 · Cited by 5
Self-citationCiantar, J., Marttila, S., Rajić, S., Kostiniuk, D., Mishra, P. P., Lyytikäinen, L., Mononen, N., Kleber, M. E., März, W., Kähönen, M. A. P., et al. (2024) · Epigenetics · doi:10.1080/15592294.2024.2397297 · Cited by 4
“DNA methylation differences between healthy individuals can also arise due to environmental or lifestyle differences, such as smoking [27–29] and obesity [30,31], as well as genetic variants, known as methylation quantitative trait loci (meQTLs) [32,33].”
DNA co-methylation has a stable structure and is related to specific aspects of genome regulationPreprint
Watkins, S., Suderman, M. J., Hemani, G., Burrows, K., Lawlor, D. A., West, J., Willan, K., Timpson, N. J., Min, J. L., & Gaunt, T. R. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.03.16.484648 · Cited by 3
“Heatmaps of TFBS and chromatin enrichments are shown in Figure 8.”
BackgroundInfluentialSelf-citationIntergenerational transmission of complex traits and the offspring methylome
Hagenbeek, F., Pool, R., Asselt, A. V. V., Ehli, E., Bartels, M., Hottenga, J., Dolan, C. V., van Dongen, J., & Boomsma, D. (2024) · medRxiv · doi:10.1101/2024.04.15.24305824 · Cited by 3
“) [15] associated with the CpGs. SNPs = number of genome-wide significant ( p 5 x 10 -8 ) SNPs overlapping with blood cis mQTLs for the CpGs. Complex traits = complex traits previously associated with the CpGs in the EWAS Atlas [60].”
InfluentialSelf-citationAbrishamcar, S., Zhuang, B. C., Thomas, M., Gladish, N., MacIsaac, J., Jones, M. J., Simons, E., Moraes, T., Mandhane, P., Brook, J., et al. (2024) · Research Square · doi:10.21203/rs.3.rs-3962429/v1 · Cited by 3
Systematic investigation of interindividual variation of DNA methylation in human whole blood
Grant, O. A., Kumari, M., Schalkwyk, L. C., & Zabet, N. (2024) · bioRxiv · doi:10.1101/2024.01.29.577703 · Cited by 3
Self-citationGuirette, M., Lan, J. J., McKeown, N. M., Brown, M. R., Chen, H., de Vries, P. S., Kim, H., Rebholz, C. M., Morrison, A. C., Bartz, T. M., et al. (2024) · Hypertension · doi:10.1161/hypertensionaha.123.22334 · Cited by 9
“In the Genetics of DNA Methylation Consortium (GoDMC), 29 rs117878928 is also a cis-mQTL variant for other CpGs (eg, cg22389121, P =2.3e-42) at 5 ʹ untranslated region or close the transcription start site of ST20 .”
BackgroundSelf-citationUsual dietary intake and change in DNA methylation over years: EWAS in KORA FF4 and KORA fit
Hellbach, F., Freuer, D., Meisinger, C., Peters, A., Winkelmann, J., Costeira, R., Hauner, H., Baumeister, S., Bell, J., Waldenberger, M., et al. (2024) · Frontiers in Nutrition · doi:10.3389/fnut.2023.1295078 · Cited by 3
Self-citationGuirette, M., Lan, J., Mckeown, N., Brown, M. R., Chen, H., de Vries, P. D., Kim, H., Rebholz, C., Morrison, A., Bartz, T., et al. (2023) · medRxiv · doi:10.1101/2023.11.10.23298402 · Cited by 3
“In the Genetics of DNA Methylation Consortium (GoDMC) [53], rs117878928 is also a cis -mQTL variant for other CpGs (e.g., cg22389121, P =2.3e-42) at 5’UTR or close the transcription start site of ST20 .”
BackgroundSelf-citationCarnes, M., Quach, B., Zhou, L.-R., Han, S.-Z., Tao, R., Mandal, M., Deep-Soboslay, A., Marks, J. A., Page, G. P., Maher, B. S., et al. (2023) · medRxiv · doi:10.1101/2023.09.18.23295431 · Cited by 3
“Genomewide variants have been characterized for their QTL effects across different regulatory features, tissues, and intrinsic factors, such as sex, by the Genotype-Tissue Expression (GTEx) project 1,8 and others.(2,4) However, understanding QTL effects in the context of exogenous exposures, especially in trait-releva…”
Dai, Y.-L., Hsu, Y.-C., Fernandes, B., Zhang, K., Li, X.-Y., Enduru, N., Liu, A.-D., Manuel, A., Jiang, X.-Q., & Zhao, Z.-M. (2023) · Research Square · doi:10.21203/rs.3.rs-3328861/v1 · Cited by 3
Wang, K. S., Zhang, H.-B., Ji, J., Zhang, R., Dang, W., Xie, Q., Zhu, Y.-S., & Zhang, J.-B. (2022) · Journal of Molecular Neuroscience · doi:10.1007/s12031-022-01992-1 · Cited by 3
Self-citationCLARITY: comparing heterogeneous data using dissimilarity
Lawson, D. J., Solanki, V., Yanovich, I., Dellert, J., Ruck, D. J., & Endicott, P. (2021) · Royal Society Open Science · doi:10.1098/rsos.202182 · Cited by 3
Self-citationAng, M. Y., Chen, L., Song, L., Lipovich, L., & Choo, S. W. (2026) · Biomolecules · doi:10.3390/biom16071029 · Cited by 2
Paediatric DNA methylation profile scores: a systematic review and open-source atlas
Schuurmans, I., Defina, S., Hermans, A. P. C., Neumann, A., Suderman, M., Yousefi, P., Felix, J. F., & Cecil, C. A. M. (2026) · EBioMedicine · doi:10.1016/j.ebiom.2026.106300 · Cited by 2
“In this context, methylation quantitative trait loci (mQTLs) can inform CpG selection, 70 for instance by prioritising or excluding genetically influenced sites, although such strategies have not yet been systematically applied in paediatric research.”
Self-citationDeng, F.-Y., Peng, J., Lai, S.-R., Zhang, G.-P., Li, M.-M., Huang, Y.-X., Yuan, M., Yao, G., Zhang, P., & Lu, L.-M. (2026) · Addiction Biology · doi:10.1111/adb.70162 · Cited by 2
Wang, Y.-X., Xia, L., Xiao, Y., Wu, M., Zhang, R., Rexiti, P., & Zhang, H. (2026) · Journal of Bone and Mineral Metabolism · doi:10.1007/s00774-026-01710-6 · Cited by 2
“Circulation eQTL summary data are sourced from eQTLGen, encompassing 31,684 individuals from 37 datasets, while circulation mQTL summary data are from McRae et al. [15], covering 1,980 European individuals.”
Self-citationSinke, 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
“Additionally, we leveraged large-scale quantitative trait loci (QTL) datasets to perform colocalisation analysis 39,40 .”
InfluentialSelf-citationJiang, B., Wang, Y.-X., Qu, C., Zhang, C., Jiang, C., Su, L., Guan, W., & Luo, Y. (2026) · Frontiers in Endocrinology · doi:10.3389/fendo.2026.1715937 · Cited by 2
“We retrieved summary data for 11 RNASET2 -associated mQTLs from the GoDMC analysis, a large-scale study that systematically mapped cis - and trans -acting genetic in fl uences on DNA methylation using whole-blood samples from 27,750 European individuals across 36 cohorts (14).”
Xiao, Z., Liu, X., Tang, W., Lv, Y., Zhang, T., Zhan, X., Sun, Q., Omindo, W. W., Wang, Q., Zhang, R., et al. (2025) · Human Genomics · doi:10.1186/s40246-025-00829-3 · Cited by 1
“The mQTL data were obtained from the GoDMC database ( h t t p : / / m q t l d b . g o d m c . o r g . u k / d o w n l o a d s) [21].”
Zheng, X.-W., Zhang, C., Zubair, M., Pan, J.-Y., Chen, T., Yin, J.-N., Liu, P., Luo, P.-P., Shen, W., & Chu, Y. (2025) · Journal of Gastroenterology and Hepatology · doi:10.1111/jgh.70085 · Cited by 2
DNA Methylation at cg18095732 Modulates ZDHHC20 Expression and Decreases Acne Vulgaris Risk
Gong, K., Ji, X.-T., Wu, S.-H., Zhao, D., & Zhu, M.-F. (2025) · Clinical, Cosmetic and Investigational Dermatology · doi:10.2147/ccid.s552840 · Cited by 2
Koller, D., He, J., Løkhammer, S., Aranda, S., Qiu, D., Davtian, D., Chen, Q.-Y., Xu, Z., Mao, Z., Friligkou, E., et al. (2025) · medRxiv · doi:10.1101/2025.09.03.25335012 · Cited by 2
“With respect to EUR, blood mQTL datasets included the GoDMC catalog 82 , the ARIES project 83 , Hatton et al 84 87 .”
DNA Methylation Signatures of Cardiovascular Health Provide Insights Into Diseases
Carbonneau, M., Li, Y., Qu, Y., Zheng, Y., Wood, A. C., Wang, M., Liu, C., Huan, T., Joehanes, R., Guo, X., et al. (2025) · Circulation · doi:10.1161/circulationaha.124.073181 · Cited by 11
Li, J., Luo, W., Nie, D., Lin, Z., & Zhou, C. (2025) · Epigenetics · doi:10.1080/15592294.2025.2527145 · Cited by 2
“A large GWAS of blood DNA methylation ( n = 32,851) identified mQTLs for 45.2% of CpGs [9].”
InfluentialSong, Z.-Q., Xu, Y.-P., Chen, Y.-Q., Zeng, H., Lin, X., Lu, X.-Y., Yu-Tao, Shi, S., & Chen, Y.-H. (2025) · Journal of Cardiology · doi:10.1016/j.jjcc.2025.07.005 · Cited by 2
Zhang, X., Yet, İ., Villicaña, S., Fernandez, J. C., Mangino, M., Hottenga, J., Tsai, P.-C., Min, J. L., Falchi, M., Wong, A., et al. (2026) · Genome biology · doi:10.1186/s13059-026-03947-w · Cited by 2
“Consistent with some patterns previously reported for meQTLs [36, 48, 49], the replicated vmeQTLs SNPs are depleted in quiescent regions (odds ratio (OR) = 0.20, 95% CI [0.16, 0.24], P = 2.07e-42)), but are enriched in many regulatory genomic regions, especially in CpG islands (OR = 14.8, 95% CI…”
InfluentialSelf-citationTwin 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
“For instance, the cg17468563 has been reported to be under the genetic control of multiple loci 19 , whereas no meQTLs have been identi fi ed for cg19998400 .”
Self-citationZhou, J.-Y., Mychaleckyj, J., Onengut-Gumuscu, S., Orchard, T. J., Costacou, T., & Miller, R. G. (2025) · Diabetologia · doi:10.1007/s00125-025-06427-1 · Cited by 2
“For external validation, we performed look-ups of meQTLs in the Genetics of DNA Methylation Consortium (GoDMC) meQTL database [25] and the Chronic Renal Insufficiency Cohort (CRIC) Human Whole Blood meQTL Atlas, for the CRIC subcohort with diabetes at baseline [26].”
Campa, D., Gentiluomo, M., & Rizzato, C. (2025) · Best Practice & Research Clinical Gastroenterology · doi:10.1016/j.bpg.2025.101988 · Cited by 3
Li, X., Lin, Q., Guan, B., Yang, M., Huang, X.-X., Li, L.-H., Chen, C., Hong, J., & Zhang, M.-W. (2025) · Translational Research: The Journal of Laboratory and Clinical Medicine · doi:10.1016/j.trsl.2025.02.002 · Cited by 2
Quantitative detection of DNA methylation from nanopore sequencing data without raw signals
Feng, Z., Zhang, C., Jin, S., Niu, J., & Feng, H. (2025) · GigaScience · doi:10.1093/gigascience/giaf113 · Cited by 2
“Although DNA methylation is a dynamic marker affected by both genetics and environment [ 7 , 8 ], the methylation status of many genomic regions is precisely regulated and can cause a wide range of diseases if disturbed.”
Association of exposure to second-hand smoke during childhood with blood DNA methylation
Cosín‐Tomás, M., Hoang, T. T., Qi, C., Monasso, G. S., Langdon, R., Merid, S. K., Calas, L., de Prado-Bert, P., Richmond, R. C., Jaddoe, V. V. W., et al. (2024) · Environment International · doi:10.1016/j.envint.2024.109204 · Cited by 4
Self-citationGroßbach, A., Suderman, M. J., Hüls, A., Lussier, A. A., Smith, A. D. A. C., Walton, E., Dunn, E. C., & Simpkin, A. J. (2024) · Clinical Epigenetics · doi:10.1186/s13148-024-01784-x · Cited by 2
Self-citationGendre, B., Martínez-Pérez, Á., Kleber, M. E., Vlieg, A. V. H., Boland, A., Olaso, R., Germain, M., Munsch, G., Moissl, A. P., Suchon, P., et al. (2024) · Journal of the American Heart Association · doi:10.1161/jaha.124.034943 · Cited by 1
Self-citationVosberg, D. E., Jurišica, I., Pausová, Z., & Paus, T. (2024) · Nature Communications · doi:10.1038/s41467-024-45409-6 · Cited by 3
“Next, CpGs were mapped to methylation quantitative trait loci (mQTLs) using the GoDMC Atlas version 0.1.0 (2019-11-01) 46 , identifying 446 clumped, genome-wide signi fi cant ( p 5e-8) mQTLs.”
InfluentialSelf-citationЭпигенетика, генетика и биохимия суицида
Kozlov, V. A., Голенков, А. В., & Орлов, Ф. В. (2023) · Суицидология · doi:10.32878/suiciderus.23-14-03(52)-27-50 · Cited by 2
“[24] разнообразие суицидальных фенотипов обусловлено комбинацией различных полиморфиз-мов значительной группы генов , изменение экспрес-сии которых или ферментативной активности их продуктов ведёт к появлению клинически различа-ющихся форм суицидального поведения и депрессий [25].”
Yagound, B., Sarma, R. R., Edwards, R., Richardson, M., Lopez, C. R., Crossland, M., Brown, G., DeVore, J., Shine, R., & Rollins, L. (2023) · bioRxiv · doi:10.1101/2023.10.26.564158 · Cited by 2
“Mounting evidence shows that, although epigenetic marks can be modified by environmental exposure, in many cases they do so under genetic control (Do et al., 2017; Gaunt et al., 2016; Hannon et al., 2018; Kerkel et al., 2008; Min et al., 2021; Tycko, 2010; Villicaña & Bell, 2021).”
BackgroundCheng, Y., Justice, A. C., Wang, Z., Li, B., Hancock, D. B., Johnson, E. O., & Xu, K. (2023) · BMC Genomics · doi:10.1186/s12864-023-09661-2 · Cited by 2
“A recent study showed that approximately 45% of DNAm sites in the human methylome are influenced by genetic variants [18].”
BackgroundAn epigenome-wide association study of child appetitive traits and DNA methylation
Harris, H., Friedman, C., Starling, A., Dabelea, D., Johnson, S. L., Fuemmeler, B., Jima, D. D., Murphy, S. K., Hoyo, C., Jansen, P. W., et al. (2023) · bioRxiv · doi:10.1101/2023.07.17.549289 · Cited by 2
Self-citationMelton, H. J., Zhang, Z.-C., Deng, H.-W., Wu, L., & Wu, C. (2023) · medRxiv · doi:10.1101/2023.03.20.23287418 · Cited by 2
“We draw summary-level mQTL data in blood ( n = 27 , 750 individuals) from the GoDMC [9], which is based on Illumina HumanMethylation BeadChips and Epic arrays.”
InfluentialZhang, W., Young, J., Gomez, L., Schmidt, M., Lukacsovich, D., Varma, A., Chen, X., Martin, E., & Wang, L. (2023) · Research Square · doi:10.21203/rs.3.rs-2391364/v1 · Cited by 2
Casazza, W., Inkster, A., Gobbo, G. D. D., Yuan, V., Delahaye, F., Marsit, C., Park, Y. P., Robinson, W. P., Mostafavi, S., & Dennis, J. (2022) · medRxiv · doi:10.1101/2022.10.04.22280695 · Cited by 2
Metadata
- Authors
- Min, J. L., Hemani, G., Hannon, E., Dekkers, K. F., Castillo-Fernandez, J., Luijk, R., Carnero-Montoro, E., Lawson, D. J., Burrows, K., Suderman, M., Bretherick, A. D., Richardson, T. G., Klughammer, J., Iotchkova, V., Sharp, G., Al Khleifat, A., Shatunov, A., Iacoangeli, A., McArdle, W. L., Ho, K. M., Kumar, A., Söderhäll, C., Soriano-Tárraga, C., Giralt-Steinhauer, E., Kazmi, N., Mason, D., McRae, A. F., Corcoran, D. L., Sugden, K., Kasela, S., Cardona, A., Day, F. R., Cugliari, G., Viberti, C., Guarrera, S., Lerro, M., Gupta, R., Bollepalli, S., Mandaviya, P., Zeng, Y., Clarke, T.-K., Walker, R. M., Schmoll, V., Czamara, D., Ruiz-Arenas, C., Rezwan, F. I., Marioni, R. E., Lin, T., Awaloff, Y., Germain, M., Aïssi, D., Zwamborn, R., van Eijk, K., Dekker, A., van Dongen, J., Hottenga, J.-J., Willemsen, G., Xu, C.-J., Barturen, G., Català-Moll, F., Kerick, M., Wang, C., Melton, P., Elliott, H. R., Shin, J., Bernard, M., Yet, I., Smart, M., Gorrie-Stone, T., BIOS Consortium, Shaw, C., Al Chalabi, A., Ring, S. M., Pershagen, G., Melén, E., Jiménez-Conde, J., Roquer, J., Lawlor, D. A., Wright, J., Martin, N. G., Montgomery, G. W., Moffitt, T. E., Poulton, R., Esko, T., Milani, L., Metspalu, A., Perry, J. R. B., Ong, K. K., Wareham, N. J., Matullo, G., Sacerdote, C., Panico, S., Caspi, A., Arseneault, L., Gagnon, F., Ollikainen, M., Kaprio, J., Felix, J. F., Rivadeneira, F., Tiemeier, H., van IJzendoorn, M. H., Uitterlinden, A. G., Jaddoe, V. W. V., Haley, C., McIntosh, A. M., Evans, K. L., Murray, A., Räikkönen, K., Lahti, J., Nohr, E. A., Sørensen, T. I. A., Hansen, T., Morgen, C. S., Binder, E. B., Lucae, S., Gonzalez, J. R., Bustamante, M., Sunyer, J., Holloway, J. W., Karmaus, W., Zhang, H., Deary, I. J., Wray, N. R., Starr, J. M., Beekman, M., van Heemst, D., Slagboom, P. E., Morange, P.-E., Trégouët, D.-A., Veldink, J. H., Davies, G. E., de Geus, E. J. C., Boomsma, D. I., Vonk, J. M., Brunekreef, B., Koppelman, G. H., Alarcón-Riquelme, M. E., Huang, R.-C., Pennell, C. E., van Meurs, J., Ikram, M. A., Hughes, A. D., Tillin, T., Chaturvedi, N., Pausova, Z., Paus, T., Spector, T. D., Kumari, M., Schalkwyk, L. C., Visscher, P. M., Davey Smith, G., Bock, C., Gaunt, T. R., Bell, J. T., Heijmans, B. T., Mill, J., & Relton, C. L.
- Affiliations
- University of Bristol (GB)
- University of Exeter (GB)
- Leiden University Medical Center (NL)
- Institute of Genetics and Cancer (GB)
- Austrian Academy of Sciences (AT)
- MRC Weatherall Institute of Molecular Medicine (GB)
- King's College London (GB)
- Swiss Tropical and Public Health Institute (CH)
- Karolinska Institutet (SE)
- Bradford Institute for Health Research (GB)
- The University of Queensland (AU)
- Duke University (US)
- University of Tartu (EE)
- University of Cambridge (GB)
- Italian institute for Genomic Medicine (IT)
- University of Toronto (CA)
- University of Helsinki (FI)
- Erasmus MC (NL)
- Sun Yat-sen University (CN)
- Royal Edinburgh Hospital (GB)
- Western General Hospital (GB)
- Max Planck Institute of Psychiatry (DE)
- Universitat Pompeu Fabra (ES)
- Aberystwyth University (GB)
- Université de Bordeaux (FR)
- Universität Hamburg (DE)
- University Medical Center Utrecht (NL)
- Amsterdam Public Health (NL)
- University Medical Center Groningen (NL)
- Universidad de Granada (ES)
- Consejo Superior de Investigaciones Científicas (ES)
- University of Newcastle Australia (AU)
- University of Tasmania (AU)
- University of Essex (GB)
- King's College Hospital (GB)
- Hospital Del Mar (ES)
- QIMR Berghofer Medical Research Institute (AU)
- University of Otago (NZ)
- Broad Institute (US)
- Federico II University Hospital (IT)
- Harvard University (US)
- University College London (GB)
- University of Aberdeen (GB)
- University of Southern Denmark (DK)
- University of Copenhagen (DK)
- Emory University (US)
- University of Southampton (GB)
- University of Memphis (US)
- University of Edinburgh (GB)
- Alzheimer Scotland (GB)
- Inserm (FR)
- Avera Institute for Human Genetics (US)
- Utrecht University (NL)
- The Kids Research Institute Australia (AU)
- Corresponding author
- Min, Josine L.
- ORCID
- Min, Josine L.
- Hemani, Gibran
- Hannon, Eilis
- Dekkers, Koen F.
- Castillo-Fernandez, Juan
- Lawson, Daniel J.
- Burrows, Kimberley
- Suderman, Matthew
- Bretherick, Andrew D.
- Richardson, Tom G.
- Klughammer, Johanna
- Iotchkova, Valentina
- Sharp, Gemma
- Al Khleifat, Ahmad
- Shatunov, Aleksey
- Iacoangeli, Alfredo
- McArdle, Wendy L.
- Ho, Karen M.
- Kumar, Ashish
- Söderhäll, Cilla
- Soriano-Tárraga, Carolina
- Kazmi, Nabila
- Mason, Dan
- McRae, Allan F.
- Corcoran, David L.
- Sugden, Karen
- Kasela, Silva
- Cardona, Alexia
- Day, Felix R.
- Cugliari, Giovanni
- Guarrera, Simonetta
- Gupta, Richa
- Bollepalli, Sailalitha
- Mandaviya, Pooja
- Zeng, Yanni
- Clarke, Toni-Kim
- Walker, Rosie M.
- Schmoll, Vanessa
- Czamara, Darina
- Ruiz-Arenas, Carlos
- Rezwan, Faisal I.
- Marioni, Riccardo E.
- Lin, Tian
- Germain, Marine
- Aïssi, Dylan
- Zwamborn, Ramona
- van Eijk, Kristel
- van Dongen, Jenny
- Hottenga, Jouke-Jan
- Willemsen, Gonneke
- Xu, Cheng-Jian
- Barturen, Guillermo
- Kerick, Martin
- Wang, Carol
- Melton, Phillip
- Elliott, Hannah R.
- Shin, Jean
- Bernard, Manon
- Yet, Idil
- Smart, Melissa
- Gorrie-Stone, Tyler
- Al Chalabi, Ammar
- Ring, Susan M.
- Pershagen, Göran
- Melén, Erik
- Jiménez-Conde, Jordi
- Roquer, Jaume
- Lawlor, Deborah A.
- Wright, John
- Martin, Nicholas G.
- Montgomery, Grant W.
- Moffitt, Terrie E.
- Poulton, Richie
- Esko, Tõnu
- Milani, Lili
- Metspalu, Andres
- Perry, John R. B.
- Ong, Ken K.
- Wareham, Nicholas J.
- Matullo, Giuseppe
- Sacerdote, Carlotta
- Panico, Salvatore
- Caspi, Avshalom
- Arseneault, Louise
- Ollikainen, Miina
- Kaprio, Jaakko
- Felix, Janine F.
- Rivadeneira, Fernando
- Tiemeier, Henning
- van IJzendoorn, Marinus H.
- Uitterlinden, André G.
- Jaddoe, Vincent W. V.
- Haley, Chris
- McIntosh, Andrew M.
- Evans, Kathryn L.
- Murray, Alison
- Räikkönen, Katri
- Lahti, Jari
- Nohr, Ellen A.
- Sørensen, Thorkild I. A.
- Hansen, Torben
- Morgen, Camilla S.
- Binder, Elisabeth B.
- Lucae, Susanne
- Gonzalez, Juan Ramon
- Bustamante, Mariona
- Sunyer, Jordi
- Holloway, John W.
- Karmaus, Wilfried
- Zhang, Hongmei
- Deary, Ian J.
- Wray, Naomi R.
- Starr, John M.
- Beekman, Marian
- van Heemst, Diana
- Slagboom, P. Eline
- Morange, Pierre-Emmanuel
- Trégouët, David-Alexandre
- Veldink, Jan H.
- de Geus, Eco J. C.
- Boomsma, Dorret I.
- Vonk, Judith M.
- Brunekreef, Bert
- Koppelman, Gerard H.
- Alarcón-Riquelme, Marta E.
- Huang, Rae-Chi
- Pennell, Craig E.
- van Meurs, Joyce
- Ikram, M. Arfan
- Hughes, Alun D.
- Tillin, Therese
- Chaturvedi, Nish
- Pausova, Zdenka
- Paus, Tomas
- Spector, Timothy D.
- Schalkwyk, Leonard C.
- Visscher, Peter M.
- Davey Smith, George
- Bock, Christoph
- Gaunt, Tom R.
- Bell, Jordana T.
- Heijmans, Bastiaan T.
- Mill, Jonathan
- Relton, Caroline L.
- Venue
- Nature Genetics
- Published
- 2021-09
- Volume
- 53
- Issue
- 9
- Pages
- 1311-1321
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- PMC
- PMC7612069
- OpenAlex
- W3113754461
- Cited by
- 506
- References
- 88
- Citations by year
- 2026: 77 · 2025: 107 · 2024: 117 · 2023: 86 · 2022: 88 · 2021: 29
- FWCI
- 26.69
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Nature Genetics (publishedVersion)
- medRxiv (acceptedVersion, cc-by-nc-nd)
- UWA Profiles and Research Repository (UWA) (publishedVersion, other-oa)
- University of Southern Denmark Research Portal (University of Southern Denmark) (publishedVersion, other-oa)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, other-oa)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion, other-oa)
- Bristol Research (University of Bristol) (publishedVersion, other-oa)
- VU Research Portal (publishedVersion, other-oa)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (acceptedVersion)
- Open Access at Essex (University of Essex) (acceptedVersion)
- ePrints Soton (University of Southampton) (submittedVersion)
- UTAS Research Repository (submittedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, cc-by)
- HAL (submittedVersion)
- Leiden Repository (Leiden University) (submittedVersion, cc-by)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion)
- edoc (University of Basel) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Figshare (submittedVersion)
- Työväentutkimus Vuosikirja (submittedVersion)
- Institutional Research Information System University of Turin (University of Turin) (submittedVersion)
- Research Portal (King's College London) (submittedVersion, other-oa)
- Research Portal (King's College London) (submittedVersion)
- Oskar-Bordeaux (Universite de Bordeaux) (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, other-oa)
- Repositori digital de la UPF (Universitat Pompeu Fabra) (submittedVersion)
- Bristol Research (University of Bristol) (submittedVersion)
- NOVA (University of Newcastle Australia) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Wellcome Trust (208806/Z/17/Z, 204979/Z/16/Z)
- Royal Society (208806/Z/17/Z)
- RCUK | Medical Research Council (MR/R005176/1, MR/K013807/1, MR/M008924/1, MC_UU_00011/5, MC_UU_00011/1, MC_UU_00011/4)
- Österreichischen Akademie der Wissenschaften (doc fellowship)
- RCUK | Biotechnology and Biological Sciences Research Council (BB/S020845/1)
- RCUK | Economic and Social Research Council (ES/N000404/1)
- ZonMw (529051021)
- Netherlands CardioVascular Research Initiative
- Cancer Research UK (C18281/A191169)
- 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
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Keywords
- DNA methylation, DNA methylation quantitative trait loci, genetic variants, blood DNA methylation, polygenic architecture, trans-eQTL, gene networks, complex diseases, genotype-phenotype correlation, gene expression regulation
- MeSH terms
- Chromosome Mapping, DNA, Gene Expression Regulation, Humans, DNA Methylation, Quantitative Trait, Heritable, Genetic Predisposition to Disease, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Epigenesis, Genetic, Genome-Wide Association Study, Transcriptome
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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.
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