The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Correspondence of DNA Methylation Between Blood and Brain Tissue and Its Application to Schizophrenia Research
Open accessAbstract
Given the difficulty of procuring human brain tissue, a key question in molecular psychiatry concerns the extent to which epigenetic signatures measured in more accessible tissues such as blood can serve as a surrogate marker for the brain. Here, we aimed (1) to investigate the blood-brain correspondence of DNA methylation using a within-subject design and (2) to identify changes in DNA methylation of brain-related biological pathways in schizophrenia.We obtained paired blood and temporal lobe biopsy samples simultaneously from 12 epilepsy patients during neurosurgical treatment. Using the Infinium 450K methylation array we calculated similarity of blood and brain DNA methylation for each individual separately. We applied our findings by performing gene set enrichment analyses (GSEA) of peripheral blood DNA methylation data (Infinium 27K) of 111 schizophrenia patients and 122 healthy controls and included only Cytosine-phosphate-Guanine (CpG) sites that were significantly correlated across tissues.Only 7.9% of CpG sites showed a statistically significant, large correlation between blood and brain tissue, a proportion that although small was significantly greater than predicted by chance. GSEA analysis of schizophrenia data revealed altered methylation profiles in pathways related to precursor metabolites and signaling peptides.Our findings indicate that most DNA methylation markers in peripheral blood do not reliably predict brain DNA methylation status. However, a subset of peripheral data may proxy methylation status of brain tissue. Restricting the analysis to these markers can identify meaningful epigenetic differences in schizophrenia and potentially other brain disorders.
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?
The cited source says what the claim attributes to it.
In the citing paper
“several studies have reported that most DNA methylation markers detected in the peripheral tissues cannot accurately predict the DNA methylation status of the brain.87”
From Epigenetic regulation in major depression and other stress-related disorders: molecular mechanisms, clinical relevance and therapeutic potential (2023) · cites this paper as [87]
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
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
Finding the missing heritability of complex diseases
Manolio, T. A., Collins, F. S., Cox, N. J., Goldstein, D. B., Hindorff, L. A., Hunter, D. J., McCarthy, M. I., Ramos, E. M., Cardon, L. R., Chakravarti, A., et al. (2009) · Nature · doi:10.1038/nature08494 · Cited by 8,336
Epigenetic programming by maternal behavior
Weaver, I. C. G., Cervoni, N., Champagne, F. A., D'Alessio, A. C., Sharma, S., Seckl, J. R., Dymov, S., Szyf, M., & Meaney, M. J. (2004) · Nature Neuroscience · doi:10.1038/nn1276 · Cited by 6,177
Epigenetic regulation of the glucocorticoid receptor in human brain associates with childhood abuse
McGowan, P. O., Sasaki, A., D'Alessio, A. C., Dymov, S., Labonté, B., Szyf, M., Turecki, G., & Meaney, M. J. (2009) · Nature Neuroscience · doi:10.1038/nn.2270 · Cited by 3,531
DNA methylation landscapes: Provocative insights from epigenomics
Suzuki, M. M., & Bird, A. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2341 · Cited by 3,039
Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs
Cross-Disorder Group of the Psychiatric Genomics Consortium (2013) · Nature Genetics · doi:10.1038/ng.2711 · Cited by 2,263
Irizarry, R. A., Ladd-Acosta, C., Wen, B., Wu, Z., Montano, C., Onyango, P., Cui, H., Gabo, K., Rongione, M., Webster, M., et al. (2009) · Nature Genetics · doi:10.1038/ng.298 · Cited by 2,177
Transposable elements: targets for early nutritional effects on epigenetic gene regulation
Waterland, R. A., & Jirtle, R. L. (2003) · Molecular and Cellular Biology · doi:10.1128/mcb.23.15.5293-5300.2003 · Cited by 2,019
Scale for the Assessment of Negative Symptoms
Andreasen, N. C. (1982) · PsycTESTS Dataset · doi:10.1037/t12696-000 · Cited by 1,888
Research works printed but not linked: 2
- First M Spitzer A Gibbon M Williams J. Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Research Version, Nonpatient Edition. New York: New York State Psychiatric Institute; 2002.
- Andreasen NC. Scale for the Assessment of Positive Symptoms. Iowa City: University Iowa Press; 1984.
Cited by
Sorted by citations
Braun, P. R., Han, S., Hing, B., Nagahama, Y., Gaul, L. N., Heinzman, J. T., Grossbach, A. J., Close, L., Dlouhy, B. J., Howard, M. A., et al. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0376-y · Cited by 467
BECon: a tool for interpreting DNA methylation findings from blood in the context of brain
Edgar, R. D., Jones, M. J., Meaney, M. J., Turecki, G., & Kobor, M. S. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.171 · Cited by 261
The Science Behind the Academy for Eating Disorders' Nine Truths About Eating Disorders
Schaumberg, K., Welch, E., Breithaupt, L. E., Hübel, C., Baker, J. H., Munn‐Chernoff, M. A., Yılmaz, Z., Ehrlich, S., Mustelin, L., Ghaderi, A., et al. (2017) · European Eating Disorders Review · doi:10.1002/erv.2553 · Cited by 301
Self-citationYuan, M., Yang, B., Rothschild, G., Mann, J. J., Sanford, L. D., Tang, X., Huang, C., Wang, C., & Zhang, W. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01519-z · Cited by 246
“87 The latest advancements in array techniques enabled the use of hypothesis-free paradigms to examine the association of DNA methylation changes across the entire genome to study different phenotypes.”
BackgroundMisiak, B., Krefft, M., Bielawski, T., Moustafa, A. A., Sasiadek, M. M., & Frydecka, D. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.02.015 · Cited by 222
Estimation of a significance threshold for epigenome-wide association studies
Saffari, A., Silver, M. J., Zavattari, P., Moi, L., Columbano, A., Meaburn, E. L., & Dudbridge, F. (2018) · Genetic Epidemiology · doi:10.1002/gepi.22086 · Cited by 183
Smigielski, L., Jagannath, V., Rössler, W., Walitza, S., & Grünblatt, E. (2020) · Molecular Psychiatry · doi:10.1038/s41380-019-0601-3 · Cited by 168
Imaging Genetics and Genomics in Psychiatry: A Critical Review of Progress and Potential
Bogdan, R., Salmeron, B. J., Carey, C. E., Arpana Agrawal, A., Calhoun, V. D., Garavan, H., Hariri, A. R., Heinz, A., Hill, M. N., Holmes, A., et al. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.12.030 · Cited by 174
Self-citationHedman, Å. K., Mendelson, M., Marioni, R. E., Gustafsson, S., Joehanes, R., Irvin, M. R., Zhi, D., Sandling, J. K., Yao, C., Liu, C., et al. (2017) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.116.001487 · Cited by 143
Barker, E. D., Walton, E., & Cecil, C. A. M. (2018) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12782 · Cited by 134
Self-citationEpigenetic Research in Neuropsychiatric Disorders: the “Tissue Issue”
Bakulski, K. M., Halladay, A., Hu, V. W., Mill, J., & Fallin, M. D. (2016) · Current Behavioral Neuroscience Reports · doi:10.1007/s40473-016-0083-4 · Cited by 127
The DNA Methylation in Neurological Diseases
Younesian, S., Yousefi, A., Momeny, M., Ghaffari, S. H., & Bashash, D. (2022) · Cells · doi:10.3390/cells11213439 · Cited by 141
Alzheimer’s Disorder: Epigenetic Connection and Associated Risk Factors
Sharma, V., Mehta, V., & Singh, T. G. (2020) · Current Neuropharmacology · doi:10.2174/1570159x18666200128125641 · Cited by 124
Decreased Methylation of the Mitochondrial D-Loop Region in Late-Onset Alzheimer’s Disease
Stoccoro, A., Siciliano, G., Migliore, L., & Coppedè, F. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170139 · Cited by 109
Intergenerational transmission of depression: clinical observations and molecular mechanisms
Sawyer, K. M., Zunszain, P. A., Dazzan, P., & Pariante, C. M. (2018) · Molecular Psychiatry · doi:10.1038/s41380-018-0265-4 · Cited by 111
MicroRNA132 associated multimodal neuroimaging patterns in unmedicated major depressive disorder
Qi, S., Yang, X., Zhao, L., Calhoun, V. D., Perrone‐Bizzozero, N. I., Liu, S., Jiang, R., Jiang, T., Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., & Ma, X. (2017) · Brain · doi:10.1093/brain/awx366 · Cited by 106
Self-citationEpigenomic Dysregulation in Schizophrenia: In Search of Disease Etiology and Biomarkers
Khavari, B., & Cairns, M. J. (2020) · Cells · doi:10.3390/cells9081837 · Cited by 115
Rubenstein, D. R., Skolnik, H., Berrío, A., Champagne, F. A., Phelps, S. M., & Solomon, J. W. (2015) · Molecular Ecology · doi:10.1111/mec.13483 · Cited by 93
Role of Epigenetics in Alzheimer’s Disease Pathogenesis
Stoccoro, A., & Coppedè, F. (2018) · Neurodegenerative Disease Management · doi:10.2217/nmt-2018-0004 · Cited by 96
Meta-analysis of epigenome-wide association studies of cognitive abilities
Marioni, R. E., McRae, A. F., Bressler, J., Colicino, E., Hannon, E. J., Li, S., Prada, D., Smith, J. A., Trevisi, L., Tsai, P.-C., et al. (2018) · Molecular Psychiatry · doi:10.1038/s41380-017-0008-y · Cited by 87
Velasco, G., Grillo, G., Touleimat, N., Ferry, L., Ivković, I., Ribiérre, F., Deleuze, J., Chantalat, S., Pïcard, C., & Francastel, C. (2018) · Human Molecular Genetics · doi:10.1093/hmg/ddy130 · Cited by 88
DNA Methylation Signatures of Mood Stabilizers and Antipsychotics in Bipolar Disorder
Houtepen, L. C., van Bergen, A. H., Vinkers, C. H., & Boks, M. P. (2016) · Epigenomics · doi:10.2217/epi.15.98 · Cited by 90
Sharp, G. C., Arathimos, R., Reese, S. E., Page, C. M., Felix, J. F., Küpers, L. K., Rifas‐Shiman, S. L., Liu, C., The Cohorts for Heart and Aging Research in Genomic Epidemiology plus (CHARGE +) methylation alcohol working group, Burrows, K., et al. (2017) · Epigenomics · doi:10.2217/epi-2017-0095 · Cited by 86
DNA Methylation and Psychiatric Disorders
Liu, C., Jiao, C., Wang, K., & Yuan, N. (2018) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2018.01.006 · Cited by 86
The role of DNA methylation in the pathophysiology and treatment of bipolar disorder
Fries, G. R., Li, Q., McAlpin, B. R., Rein, T., Walss‐Bass, C., Soares, J. C., & Quevedo, J. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.06.010 · Cited by 85
Sex differences in DNA methylation of the cord blood are related to sex-bias psychiatric diseases
Maschietto, M., Bastos, L. C., Tahira, A. C., Bastos, E. P., Euclydes, V. L. V., Brentani, A., Fink, G., de Baumont, A., Felipe-Silva, A., Francisco, R. P. V., et al. (2017) · Scientific Reports · doi:10.1038/srep44547 · Cited by 78
DNA Hypomethylation in Blood Links B3GALT4 and ZADH2 to Alzheimer’s Disease
Madrid, A., Hogan, K. J., Papale, L. A., Clark, L. R., Asthana, S., Johnson, S. C., & Alisch, R. S. (2018) · Journal of Alzheimer’s Disease · doi:10.3233/jad-180592 · Cited by 77
Depression and suicide risk prediction models using blood-derived multi-omics data
Bhak, Y., Jeong, H.-O., Cho, Y. S., Jeon, S., Cho, J., Gim, J., Jeon, Y., Blažytė, A., Park, S. G., Kim, H., et al. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0595-2 · Cited by 77
Distinct DNA methylation profiles in bone and blood of osteoporotic and healthy postmenopausal women
Reppe, S., Lien, T. G., Hsu, Y., Gautvik, V. T., Olstad, O. K., Yu, R., Bakke, H. G., Lyle, R., Kringen, M. K., Glad, I. K., et al. (2017) · Epigenetics · doi:10.1080/15592294.2017.1345832 · Cited by 74
Ewing, E., Kular, L., Fernandes, S. J., Karathanasis, N., Lagani, V., Ruhrmann, S., Tsamardinos, I., Tegner, J. N., Piehl, F., Gómez-Cabrero, D., et al. (2019) · EBioMedicine · doi:10.1016/j.ebiom.2019.04.042 · Cited by 77
Rubin, L. H., Connelly, J. J., Reilly, J. L., Carter, C. S., Drogos, L. L., Pournajafi‐Nazarloo, H., Ruocco, A. C., Keedy, S., Matthew, I., Tandon, N., et al. (2015) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2015.10.003 · Cited by 72
Chen, J., Zang, Z., Braun, U., Schwarz, K., Harneit, A., Kremer, T., Ma, R., Schweiger, J., Moessnang, C., Geiger, L., et al. (2020) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2019.4792 · Cited by 69
Sadiković, B., Aref‐Eshghi, E., Levy, M. A., & Rodenhiser, D. I. (2019) · Epigenomics · doi:10.2217/epi-2018-0192 · Cited by 68
Breastfeeding effects on DNA methylation in the offspring: A systematic literature review
Hartwig, F. P., de Mola, C. L., Davies, N. M., Victora, C. G., & Relton, C. L. (2017) · PLoS ONE · doi:10.1371/journal.pone.0173070 · Cited by 69
Associations between indicators of socioeconomic position and DNA methylation: a scoping review
Cerutti, J., Lussier, A. A., Zhu, Y., Liu, J., & Dunn, E. C. (2021) · Clinical Epigenetics · doi:10.1186/s13148-021-01189-0 · Cited by 67
Self-citationSteiger, H., Booij, L., Kahan, E., McGregor, K., Thaler, L., Fletcher, E., Labbe, A., Joober, R., Israël, M., Szyf, M., et al. (2019) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.170242 · Cited by 64
Methylomic changes during conversion to psychosis
the ICAAR team, Kébir, O., Chaumette, B., Rivollier, F., Miozzo, F., Perreault, L. L., Barhdadi, A., Provost, S., Plaze, M., Bourgin, J., et al. (2016) · Molecular Psychiatry · doi:10.1038/mp.2016.53 · Cited by 90
Hannon, E. J., Mansell, G., Walker, E., Nabais, M. F., Burrage, J., Kepa, A., Best-Lane, J., Rose, A., Heck, S., Moffitt, T. E., et al. (2021) · PLoS Genetics · doi:10.1371/journal.pgen.1009443 · Cited by 58
Maternal caregiving and DNA methylation in human infants and children: systematic review
Provenzi, L., Brambilla, M., Scotto di Minico, G., Montirosso, R., & Borgatti, R. (2020) · Genes, Brain and Behavior · doi:10.1111/gbb.12616 · Cited by 60
Reelin (RELN) DNA methylation in the peripheral blood of schizophrenia
Nabil Fikri, R. M., Norlelawati, A. T., Nour El-Huda, A. R., Hanisah, M. N., Kartini, A., Norsidah, K., & Nor Zamzila, A. (2017) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2016.12.020 · Cited by 61
Richardson, T. G., Haycock, P., Zheng, J., Timpson, N. J., Gaunt, T. R., Smith, G. D., Relton, C. L., & Hemani, G. (2018) · Human Molecular Genetics · doi:10.1093/hmg/ddy210 · Cited by 57
DNA Methylation and Schizophrenia: Current Literature and Future Perspective
Magwai, T., Shangase, K. B., Oginga, F. O., Chiliza, B., Mpofana, T., & Xulu, K. R. (2021) · Cells · doi:10.3390/cells10112890 · Cited by 68
Epigenetics, nutrition and mental health. Is there a relationship?
Stevens, A. J., Rucklidge, J. J., & Kennedy, M. A. (2017) · Nutritional Neuroscience · doi:10.1080/1028415x.2017.1331524 · Cited by 61
Characterization of cross-tissue genetic-epigenetic effects and their patterns in schizophrenia
Lin, D., Chen, J., Perrone‐Bizzozero, N. I., Bustillo, J., Du, Y., Calhoun, V. D., & Liu, J. (2018) · Genome Medicine · doi:10.1186/s13073-018-0519-4 · Cited by 58
Self-citationKraaijenvanger, E. J., He, Y., Spencer, H., Smith, A. K., Bos, P. A., & Boks, M. P. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.11.016 · Cited by 62
Epigenome-wide Association Study of Attention-Deficit/Hyperactivity Disorder Symptoms in Adults
van Dongen, J., Zilhäo, N. R., Sugden, K., Heijmans, B. T., Hoen, P. A. C. ’., van Meurs, J. B. J., Isaacs, A. J., Jansen, R., Franke, L., Boomsma, D. I., et al. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.02.016 · Cited by 59
The epigenetics of perinatal stress
Moshe Szyf, A. (2019) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2019.21.4/mszyf · Cited by 58
Milaniak, I., Cecil, C. A. M., Barker, E. D., Relton, C. L., Gaunt, T. R., McArdle, W. L., & Jaffee, S. R. (2017) · Development and Psychopathology · doi:10.1017/s0954579417001316 · Cited by 60
Jia, T., Chu, C., Liu, Y., van Dongen, J., Papastergios, E., Armstrong, N. J., Bastin, M. E., Carrillo‐Roa, T., den Braber, A., Harris, M. A., et al. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0605-z · Cited by 60
Self-citationZhou, J., Li, M., Wang, X., He, Y., Xia, Y., Sweeney, J. A., Kopp, R. F., Liu, C., & Chen, C. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.674273 · Cited by 56
Mohandas, N., Bass-Stringer, S., Maksimovic, J., Crompton, K. E., Loke, Y. J., Walstab, J., Reid, S. M., Amor, D. J., Reddihough, D. S., & Craig, J. M. (2018) · Clinical Epigenetics · doi:10.1186/s13148-018-0457-4 · Cited by 56
Epigenetics of alcohol use disorder—A review of recent advances in DNA methylation profiling
Longley, M. J., Lee, J., Jung, J., & Lohoff, F. W. (2021) · Addiction Biology · doi:10.1111/adb.13006 · Cited by 58
Accelerated aging in the brain, epigenetic aging in blood, and polygenic risk for schizophrenia
Teeuw, J., Ori, A. P. S., Brouwer, R. M., de Zwarte, S. M. C., Schnack, H. G., Pol, H. E. H., & Ophoff, R. A. (2021) · Schizophrenia Research · doi:10.1016/j.schres.2021.04.005 · Cited by 55
Psychotherapy and Genetic Neuroscience: An Emerging Dialog
Jiménez, J. P., Botto, A., Herrera, L., Leighton, C., Rossi, J. L., Quevedo, Y., Silva, J. R., Martínez, F. I., Assar, R., Salazar, L. A., et al. (2018) · Frontiers in Genetics · doi:10.3389/fgene.2018.00257 · Cited by 62
Catale, C., Bussone, S., Iacono, L. L., Viscomi, M. T., Palacios, D., Troisi, A., & Carola, V. (2020) · Neurobiology of Stress · doi:10.1016/j.ynstr.2020.100249 · Cited by 56
Rhie, S., Schreiner, S., Witt, H., Armoskus, C., Lay, F. D., Camarena, A., Spitsyna, V. N., Guo, Y., Berman, B. P., Evgrafov, O., et al. (2018) · Science Advances · doi:10.1126/sciadv.aav8550 · Cited by 50
What Should a Psychiatrist Know About Genetics?
Nürnberger, J. I., Austin, J., Berrettini, W. H., Besterman, A. D., DeLisi, L. E., Grice, D. E., Kennedy, J. L., Moreno‐De‐Luca, D., Potash, J. B., Ross, D. A., et al. (2018) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.17nr12046 · Cited by 54
DNA methylation patterns associated with oxidative stress in an ageing population
Hedman, Å. K., Zilmer, M., Sundström, J., Lind, L., & Ingelsson, E. (2016) · BMC Medical Genomics · doi:10.1186/s12920-016-0235-0 · Cited by 52
Neuroimaging genomics in psychiatry—a translational approach
Mufford, M. S., Stein, D. J., Dalvie, S., Groenewold, N. A., Thompson, P. M., & Jahanshad, N. (2017) · Genome Medicine · doi:10.1186/s13073-017-0496-z · Cited by 55
Cell Types in Environmental Epigenetic Studies: Biological and Epidemiological Frameworks
Campbell, K. A., Colacino, J. A., Park, S. K., & Bakulski, K. M. (2020) · Current Environmental Health Reports · doi:10.1007/s40572-020-00287-0 · Cited by 46
Ameer, S. S., Engström, K. S., Hossain, M. B., Concha, G., Vahter, M., & Bröberg, K. (2017) · Toxicology and Applied Pharmacology · doi:10.1016/j.taap.2017.02.019 · Cited by 50
Caregiver maltreatment causes altered neuronal DNA methylation in female rodents
Blaze, J., & Roth, T. L. (2017) · Development and Psychopathology · doi:10.1017/s0954579417000128 · Cited by 48
Wiers, C. E., Shumay, E., Volkow, N. D., Frieling, H., Kotsiari, A., Lindenmeyer, J., Walter, H., & Bermpohl, F. (2015) · Translational Psychiatry · doi:10.1038/tp.2015.141 · Cited by 48
Blood DNA methylation pattern is altered in mesial temporal lobe epilepsy
Long, H., Feng, L., Kang, J. I., Luo, Z., Xiao, W., Long, L., Yan, X., Zhou, L., & Xiao, B. (2017) · Scientific Reports · doi:10.1038/srep43810 · Cited by 49
DNA Methylation Dynamics and Cocaine in the Brain: Progress and Prospects
Vaillancourt, K., Ernst, C., Mash, D. C., & Turecki, G. (2017) · Genes · doi:10.3390/genes8050138 · Cited by 50
Bakulski, K. M., Dou, J., Lin, N., London, S. J., & Colacino, J. A. (2019) · Scientific Reports · doi:10.1038/s41598-019-40963-2 · Cited by 48
Methylomic analysis of monozygotic twins discordant for childhood psychotic symptoms
Fisher, H. L., Murphy, T. M., Arseneault, L., Caspi, A., Moffitt, T. E., Viana, J. F., Hannon, E. J., Pidsley, R., Burrage, J., Dempster, E. L., et al. (2015) · Epigenetics · doi:10.1080/15592294.2015.1099797 · Cited by 47
Epigenetic insights into multiple sclerosis disease progression
Kular, L., & Jagodic, M. (2020) · Journal of Internal Medicine · doi:10.1111/joim.13045 · Cited by 49
Li, M., Li, Y., Qin, H., Tubbs, J. D., Li, M., Qiao, C., Lin, J., Li, Q., Fan, F., Gou, M., et al. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-00968-0 · Cited by 46
Nissen, J. B., Hansen, C. S., Starnawska, A., Mattheisen, M., Børglum, A. D., Buttenschøn, H. N., & Hollegaard, M. V. (2016) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2016.00035 · Cited by 46
Kahl, K. G., Georgi, K., Bleich, S., Muschler, M., Hillemacher, T., Hilfiker-Kleinert, D., Schweiger, U., Ding, X., Kotsiari, A., & Frieling, H. (2016) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2016.02.002 · Cited by 44
A multi-ethnic epigenome-wide association study of leukocyte DNA methylation and blood lipids
Jhun, M.-A., Mendelson, M., Wilson, R., Gondalia, R., Joehanes, R., Salfati, E., Zhao, X., Braun, K. V. E., Do, A. N., Hedman, Å. K., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-23899-y · Cited by 42
Cariaga-Martínez, A. E., Sáiz-Ruiz, J., & Alelú‐Paz, R. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00202 · Cited by 48
Epigenetics of Addiction: Current Knowledge, Challenges, and Future Directions
Cecil, C. A. M., Walton, E., & Viding, E. M. (2016) · Journal of Studies on Alcohol and Drugs · doi:10.15288/jsad.2016.77.688 · Cited by 39
Self-citationXiu, J., Li, J., Liu, Z., Wei, H., Zhu, C., Han, R., Liu, Z., Zhu, W., Shen, Y., & Xu, Q. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2201967119 · Cited by 41
Schmitt, A., Martins‐de‐Souza, D., Akbarian, S., Cassoli, J. S., Ehrenreich, H., Fischer, A., Fonteh, A. N., Gattaz, W. F., Gawlik, M., Gerlach, M., et al. (2016) · The World Journal of Biological Psychiatry · doi:10.1080/15622975.2016.1224929 · Cited by 43
Suicide epigenetics, a review of recent progress
Cheung, S., Woo, J., Maes, M. S., & Zai, C. C. H. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.01.040 · Cited by 39
Ebrahimi, P., Luthman, H., McGuigan, F. E., & Åkesson, K. (2020) · Epigenetics · doi:10.1080/15592294.2020.1788325 · Cited by 38
Danoff, J. S., Connelly, J. J., Morris, J. P., & Perkeybile, A. M. (2021) · Comprehensive Psychoneuroendocrinology · doi:10.1016/j.cpnec.2021.100098 · Cited by 37
Methylation of avpr1a in the cortex of wild prairie voles: effects of CpG position and polymorphism
Okhovat, M., Maguire, S. M., & Phelps, S. M. (2017) · Royal Society Open Science · doi:10.1098/rsos.160646 · Cited by 35
Cross-Tissue Exploration of Genetic and Epigenetic Effects on Brain Gray Matter in Schizophrenia
Lin, D., Chen, J., Ehrlich, S., Bustillo, J., Perrone‐Bizzozero, N. I., Walton, E., Clark, V. P., Wang, Y., Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, N. Q. U. O. S. A. T., Du, Y., et al. (2017) · Schizophrenia Bulletin · doi:10.1093/schbul/sbx068 · Cited by 33
Self-citationCocaine-induced epigenetic DNA modification in mouse addiction-specific and non-specific tissues
Anier, K., Urb, M., Kipper, K., Herodes, K., Timmusk, T., Zharkovsky, A., & Kalda, A. (2018) · Neuropharmacology · doi:10.1016/j.neuropharm.2018.06.036 · Cited by 35
Utility of DNA Methylation as a Biomarker in Aging and Alzheimer’s Disease
Milicic, L., Porter, T., Vacher, M. A., & Laws, S. M. (2023) · Journal of Alzheimer s Disease Reports · doi:10.3233/adr-220109 · Cited by 36
DNA Methylation Analysis of the NR3C1 Gene in Patients with Schizophrenia
Liu, L., Wu, J., Qing, L., Li, J., Yang, H., Ji, A., Yan, M., Hu, L., & Nie, S. (2020) · Journal of Molecular Neuroscience · doi:10.1007/s12031-020-01525-8 · Cited by 33
A machine learning case–control classifier for schizophrenia based on DNA methylation in blood
Gunasekara, C., Hannon, E. J., MacKay, H., Coarfa, C., McQuillin, A., Clair, D. S., Mill, J. S., & Waterland, R. A. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01496-3 · Cited by 33
Investigation of correlations between DNA methylation, suicidal behavior and aging
Jeremian, R., Chen, Y., Luca, V. D., Vincent, J. B., Kennedy, J. L., Zai, C. C. H., & Strauss, J. (2017) · Bipolar Disorders · doi:10.1111/bdi.12466 · Cited by 33
Martins, J., Czamara, D., Sauer, S., Rex‐Haffner, M., Dittrich, K., Dörr, P., de Punder, K., Overfeld, J., Knop, A. J. J., Dammering, F., et al. (2021) · Neurobiology of Stress · doi:10.1016/j.ynstr.2021.100336 · Cited by 35
Ciuculete, D. M., Boström, A. E. D., Tuunainen, A., Sohrabi, F., Kular, L., Jagodic, M., Voisin, S. A. C., Mwinyi, J., & Schiöth, H. B. (2018) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2018.03.008 · Cited by 29
Boehm, I., Walton, E., Alexander, N., Batury, V.-L., Seidel, M., Geisler, D., King, J. A., Weidner, K., Roessner, V., & Ehrlich, S. (2020) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.190016 · Cited by 31
Self-citationSokolov, A. V., Manu, D.-M., Nordberg, D. O. T., Boström, A. E. D., Jokinen, J., & Schiöth, H. B. (2023) · Clinical Epigenetics · doi:10.1186/s13148-022-01394-5 · Cited by 31
Reppe, S., Datta, H. K., & Gautvik, K. M. (2017) · Bone · doi:10.1016/j.bone.2017.04.012 · Cited by 29
Caramaschi, D., Neumann, A., Cárdenas, A., Tindula, G. N., Alemany, S., Zillich, L., Pesce, G., Lahti, J. M. T., Havdahl, A., Mulder, R. H., et al. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01441-w · Cited by 29
Epigenetic Mechanisms Activated by Childhood Adversity
Krause, B. J., Artigas, R., Sciolla, A., & Hamilton, J. (2020) · Epigenomics · doi:10.2217/epi-2020-0042 · Cited by 29
Longitudinal epigenetic predictors of amygdala:hippocampus volume ratio
Walton, E., Cecil, C. A. M., Suderman, M. J., Liu, J., Turner, J. A., Calhoun, V. D., Ehrlich, S., Relton, C. L., & Barker, E. D. (2017) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12740 · Cited by 27
Self-citationRecent Progress in Pharmacogenomics of Antipsychotic Drug Response
Zhang, J., & Malhotra, A. K. (2018) · Current Psychiatry Reports · doi:10.1007/s11920-018-0886-y · Cited by 28
Elevated OPRD1 promoter methylation in Alzheimer’s disease patients
Ji, H., Wang, Y., Liu, G., Chang, L. Y., Chen, Z., Zhou, D., Xu, X., Cui, W., Hong, Q., Jiang, L., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0172335 · Cited by 27
Huang, H., Zhu, Y. L., Eliot, M., Knopik, V. S., McGeary, J. E., Carskadon, M. A., & Hart, A. C. (2017) · SLEEP · doi:10.1093/sleep/zsx063 · Cited by 27
Batury, V.-L., Walton, E., Tam, F. I., Wronski, M., Buchholz, V., Frieling, H., & Ehrlich, S. (2020) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2020.08.026 · Cited by 27
Self-citationPolyphenolic Compounds Alter Stress‐Induced Patterns of Global DNA Methylation in Brain and Blood
Blaze, J., Wang, J., Ho, L., Mendelev, N., Haghighi, F. G., & Pasinetti, G. M. (2018) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201700722 · Cited by 25
Ciuculete, D. M., Voisin, S., Kular, L., Welihinda, N., Jonsson, J., Jagodic, M., Mwinyi, J., & Schiöth, H. (2019) · Epigenetics · doi:10.1080/15592294.2019.1700628 · Cited by 19
Metadata
- Authors
- Walton, E., Hass, J., Liu, J., Roffman, J. L., Bernardoni, F., Roessner, V., Kirsch, M., Schackert, G., Calhoun, V., & Ehrlich, S.
- Affiliations
- King's College London (GB)
- TransDeN Lab (DE)
- Mind Research Network (US)
- Massachusetts General Hospital (US)
- Center for Regenerative Therapies Dresden (DE)
- Technische Universität Dresden (DE)
- Corresponding author
- Ehrlich, Stefan
- ORCID
- Venue
- Schizophrenia Bulletin
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-06-08
- Volume
- 42
- Issue
- 2
- Pages
- 406-414
- ISSN
- 0586-7614 (ISSN-L)
- 1745-1701
- PMC
- PMC4753587
- OpenAlex
- W2256732880
- Cited by
- 286
- References
- 52
- Citations by year
- 2026: 16 · 2025: 19 · 2024: 14 · 2023: 21 · 2022: 21 · 2021: 39 · 2020: 31 · 2019: 31 · 2018: 36 · 2017: 37 · 2016: 16 · 2015: 5
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Schizophrenia Bulletin (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Explore Bristol Research (publishedVersion)
- HighWire Press Open Archive (submittedVersion)
- Bristol Research (University of Bristol) (submittedVersion)
- Funders
- Eli Lilly and Company
- National Institutes of Health (5k08mh068540-05)
- National Institute of Mental Health (K08-MH068540)
- National Institute of General Medical Sciences (P20GM103472)
- National Institute of Biomedical Imaging and Bioengineering (R01EB000840, R01EB020407, R01EB005846, R01EB006841)
- National Center for Research Resources (U24RR021992, M01 RR025758-01, P41-RR-14075, U24RR021382, 1U24 RR021382A, UL1RR025758, P41RR014075)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- DNA methylation
- MeSH terms
- Brain, Humans, Schizophrenia, Biomarkers, CpG Islands, DNA Methylation, Epigenesis, Genetic
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
