On the outside, looking in: A review and evaluation of the comparability of blood and brain “‐omes”
Abstract
In this article, we review studies detailing the correspondence between peripheral blood and brain tissue across various domains of high‐throughput ‐omic analysis in order to provide a context for evaluating blood‐based biomarker studies. Specifically, we reviewed seven studies comparing patterns of DNA methylation (i.e., an aspect of the epigenome), eight articles comparing patterns of gene expression (i.e., the transcriptome), and three articles comparing patterns of protein expression (i.e., the proteome). Our review of the epigenomic literature suggests that CpG‐island methylation levels are generally highly correlated (r = 0.90) between blood and brain. Our review of transcriptomic studies suggests that between 35% and 80% of known transcripts are present in both brain and blood tissue samples; estimates of cross‐tissue correlation in expression levels were found to range from 0.25 to 0.64, with stronger correlations observed among particular subsets of genes. Relative to the epigenome and transcriptome, the proteome has not been as fully compared between brain and blood samples, highlighting an important area for future work as whole‐proteome profiling methods mature. Beyond reviewing the relevant studies, we discuss some of the assumptions, methodological issues, and gaps in knowledge that should be addressed in order to better understand how the multiple “‐omes” of the brain are reflected in the peripheral blood. A better understanding of these relationships is a critical precursor to the validation of biomarkers for brain disorders. © 2013 Wiley Periodicals, Inc.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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 rationale for using plasma biomarkers as proxies for brain processes has been demonstrated for multiple neurodegenerative diseases.
“The rationale for using plasma biomarkers as proxies for brain processes [173] has been demonstrated for multiple neurodegenerative diseases [174, 175].”
From Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau (2021) · cites this paper as [173]
Cites
Biomarkers and surrogate endpoints: Preferred definitions and conceptual framework
Biomarkers Definitions Working Group (2001) · Clinical Pharmacology & Therapeutics · doi:10.1067/mcp.2001.113989 · Cited by 6,771 · see citing works
A gene atlas of the mouse and human protein-encoding transcriptomes
Su, A. I., Wiltshire, T., Batalov, S., Lapp, H., Ching, K. A., Block, D., Zhang, J., Soden, R., Hayakawa, M., Kreiman, G., et al. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0400782101 · Cited by 3,475 · see citing works
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 · see citing works
Wilkins, M. R., Sanchez, J., Gooley, A. A., Appel, R. D., Humphery‐Smith, I., Hochstrasser, D. F., & Williams, K. L. (1996) · Biotechnology and Genetic Engineering Reviews · doi:10.1080/02648725.1996.10647923 · Cited by 1,331 · see citing works
Epigenomic Profiling Reveals DNA-Methylation Changes Associated with Major Psychosis
Mill, J., Tang, T., Kaminsky, Z., Khare, T., Yazdanpanah, S., Bouchard, L., Jia, P., Assadzadeh, A., Flanagan, J., Schumacher, A., et al. (2008) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2008.01.008 · Cited by 773 · see citing works
Liew, C., Ma, J., Tang, H.-C., Zheng, R., & Dempsey, A. A. (2006) · Journal of Laboratory and Clinical Medicine · doi:10.1016/j.lab.2005.10.005 · Cited by 663 · see citing works
Aging effects on DNA methylation modules in human brain and blood tissue
Horvath, S., Zhang, Y., Langfelder, P., Kahn, R. S., Boks, M. P., van Eijk, K. R., van den Berg, L. H., & Ophoff, R. A. (2012) · Genome biology · doi:10.1186/gb-2012-13-10-r97 · Cited by 638 · see citing works
Davies, M. N., Volta, M., Pidsley, R., Lunnon, K., Dixit, A., Lovestone, S., Coarfa, C., Harris, R. A., Milosavljevic, A., Troakes, C., et al. (2012) · Genome Biology · doi:10.1186/gb-2012-13-6-r43 · Cited by 630 · see citing works
Evaluating the comparability of gene expression in blood and brain
Sullivan, P. F., Fan, C., & Perou, C. M. (2006) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.30272 · Cited by 581 · see citing works
Hypomethylation of MB-COMT promoter is a major risk factor for schizophrenia and bipolar disorder
Abdolmaleky, H. M., Cheng, K.-H., Faraone, S. V., Wilcox, M., Glatt, S. J., Gao, F., Smith, C. L., Shafa, R., Aeali, B., Carnevale, J., et al. (2006) · Human Molecular Genetics · doi:10.1093/hmg/ddl253 · Cited by 462 · see citing works
Self-citationDempster, E. L., Pidsley, R., Schalkwyk, L. C., Owens, S., Georgiades, A., Kane, F., Kalidindi, S., Picchioni, M., Kravariti, E., Toulopoulou, T., et al. (2011) · Human Molecular Genetics · doi:10.1093/hmg/ddr416 · Cited by 460 · see citing works
Genome-wide expression profiling of human blood reveals biomarkers for Huntington's disease
Borovečki, F., Lovrečić, L., Zhou, J., Jeong, H., Then, F., Rosas, H. D., Hersch, S. M., Hogarth, P., Bouzou, B., Jensen, R. V., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504921102 · Cited by 413 · see citing works
Glatt, S. J., Everall, I., Kremen, W. S., Corbeil, J., Šášik, R., Khanlou, N., Han, M., Liew, C., & Tsuang, M. T. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0507666102 · Cited by 322 · see citing works
Self-citationTsuang, M. T., Nossova, N., Yager, T. D., Tsuang, M., Guo, S., Shyu, K. G., Glatt, S. J., & Liew, C. C. (2005) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.30161 · Cited by 239 · see citing works
Self-citationAnalysis of whole genome biomarker expression in blood and brain
Rollins, B. L., Martin, M. V., Morgan, L. Z., & Vawter, M. P. (2010) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.31062 · Cited by 217 · see citing works
Huang, J. T.-J., Wang, L., Prabakaran, S., Wengenroth, M., Lockstone, H. E., Koethe, D., Gerth, C. W., Gross, S., Schreiber, D., Lilley, K. S., et al. (2007) · Molecular Psychiatry · doi:10.1038/sj.mp.4002108 · Cited by 133 · see citing works
Kaminsky, Z. A., Tochigi, M., Jia, P., Pal, M., Mill, J. S., Kwan, A., Ioshikhes, I. P., Vincent, J. B., Kennedy, J. L., Strauss, J., et al. (2011) · Molecular Psychiatry · doi:10.1038/mp.2011.64 · Cited by 132 · see citing works
Shifting emphasis from pharmacogenomics to theragnostics
Özdemir, V., Williams–Jones, B., Glatt, S. J., Tsuang, M. T., Lohr, J. B., & Reist, C. (2006) · Nature Biotechnology · doi:10.1038/nbt0806-942 · Cited by 130 · see citing works
Self-citationCpG island methylation pattern in different human tissues and its correlation with gene expression
Fan, S., & Zhang, X. (2009) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2009.04.023 · Cited by 125 · see citing works
Is human blood a good surrogate for brain tissue in transcriptional studies?
Cai, C., Langfelder, P., Fuller, T. F., Oldham, M. C., Luo, R., van den Berg, L. H., Ophoff, R. A., & Horvath, S. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-589 · Cited by 119 · see citing works
Murphy, B. C., O'Reilly, R. L., & Singh, S. M. (2005) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.30134 · Cited by 102 · see citing works
Fatemi, S. H., Reutiman, T. J., Folsom, T. D., Bell, C., Nos, L., Fried, P., Pearce, D. A., Singh, S., Siderovski, D. P., Willard, F. S., et al. (2006) · Neuropsychopharmacology · doi:10.1038/sj.npp.1301002 · Cited by 96 · see citing works
Jasinska, A. J., Service, S. K., Choi, O., DeYoung, J. A., Grujic, O., Kong, S.-Y., Jorgensen, M. J., Bailey, J. N., Breidenthal, S. E., Fairbanks, L. A., et al. (2009) · Human Molecular Genetics · doi:10.1093/hmg/ddp397 · Cited by 87 · see citing works
Discovery and characterization of medaka miRNA genes by next generation sequencing platform
Li, S., Chan, W., Ho, M., Tsai, K., Hu, L., Lai, C.-H., Hsu, C., Hwang, P., & Lin, W. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-s4-s8 · Cited by 84 · see citing works
Gene expression biomarkers of response to citalopram treatment in major depressive disorder
Mamdani, F., Berlim, M. T., Beaulieu, M.-M., Labbe, A., Mérette, C., & Turecki, G. (2011) · Translational Psychiatry · doi:10.1038/tp.2011.12 · Cited by 72 · see citing works
Gelman, J. S., Sironi, J., de Castro, L. M., Ferro, E. S., & Fricker, L. D. (2010) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2010.06653.x · Cited by 63 · see citing works
Kohane, I. S., & Valtchinov, V. I. (2012) · Bioinformatics · doi:10.1093/bioinformatics/btr713 · Cited by 57 · see citing works
Future potential of the Human Epigenome Project
Eckhardt, F., Beck, S., Gut, I. G., & Berlin, K. (2004) · Expert Review of Molecular Diagnostics · doi:10.1586/14737159.4.5.609 · Cited by 56 · see citing works
Kohane, I. S., & Valtchinov, V. I. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts107 · Cited by 48 · see citing works
Glatt, S. J., Chandler, S. D., Bousman, C., Chana, G., Lucero, G. R., Tatro, E. T., May, T., Lohr, J. B., Kremen, W. S., Everall, I., et al. (2009) · Current pharmacogenomics and personalized medicine (Online)/Current pharmacogenomics and personalized medicine · doi:10.2174/1875692110907030164 · Cited by 44 · see citing works
Self-citationYuferov, V. P., Nielsen, D. A., Levran, O., Randesi, M., Hamon, S., Ho, A., Morgello, S., & Kreek, M. J. (2010) · Pharmacogenetics and Genomics · doi:10.1097/fpc.0b013e32833eecbc · Cited by 43 · see citing works
Mental and neurological public health : a global perspective
Patel, V., & Woodward, A. J. (2010) · Medical Entomology and Zoology · Cited by 33 · see citing works
Bosker, F. J., Gladkevich, A. V., Pietersen, C. Y., Kooi, K. A., Bakker, P. L., Gerbens, F., den Boer, J. A., Korf, J., & Meerman, G. T. (2012) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2012.03.003 · Cited by 6 · see citing works
Deng, X., Jia, H., Yang, Z., Li, G., & Sun, S. (2011) · Journal of Huazhong University of Science and Technology [Medical Sciences] · doi:10.1007/s11596-011-0586-x · Cited by 5 · see citing works
Mental Health Etiology: Biological and Genetic Determinants
Glatt, S. J., Faraone, S. V., & Tsuang, M. T. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-803678-5.00280-0 · Cited by 2 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Candidate biomarkers in psychiatric disorders: state of the field
Abi‐Dargham, A., Moeller, S. J., Ali, F., DeLorenzo, C., Domschke, K., Horga, G., Jutla, A., Kotov, R., Paulus, M. P., Rubio, J. M., et al. (2023) · World Psychiatry · doi:10.1002/wps.21078 · Cited by 390 · see citing works
Smith, A. K., Kilaru, V., Klengel, T., Mercer, K. B., Bradley, B., Conneely, K. N., Ressler, K. J., & Binder, E. B. (2015) · American Journal of Medical Genetics Part B: Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32278 · Cited by 355 · see citing works
Epigenetic aging in major depressive disorder
Han, L. K. M., Aghajani, M., Clark, S. L., Chan, R. F., Hattab, M. W., Shabalin, A. A., Zhao, M., Kumar, G., Xie, L. Y., Jansen, R., et al. (2018) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2018.17060595 · Cited by 260 · see citing works
Cattaneo, A., Cattane, N., Begni, V, Pariante, C. M., & Riva, M. A. (2016) · Translational Psychiatry · doi:10.1038/tp.2016.214 · Cited by 244 · see citing works
Yuan, 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 · see citing works
“Because miRNA and lncRNA levels in blood distinguish depressed patients from healthy controls,(243,310,387) for a diagnostic tool, it is not essential if blood and brain exhibit significant similarities.(388,389) Results are summarized in Table 2.”
BackgroundD’Agnelli, S., Arendt‐Nielsen, L., Gerra, M. C., Zatorri, K., Boggiani, L., Baciarello, M., & Bignami, E. G. (2018) · Molecular Pain · doi:10.1177/1744806918819944 · Cited by 209 · see citing works
Early-life adversity and neurological disease: age-old questions and novel answers
Short, A. K., & Baram, T. Z. (2019) · Nature Reviews Neurology · doi:10.1038/s41582-019-0246-5 · Cited by 180 · see citing works
Accelerated DNA methylation age: Associations with PTSD and neural integrity
Wolf, E. J., Logue, M. W., Hayes, J. P., Sadeh, N., Schichman, S. A., Stone, A., Salat, D. H., Milberg, W., McGlinchey, R. E., & Miller, M. W. (2015) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2015.09.020 · Cited by 146 · see citing works
Omics sciences for systems biology in Alzheimer’s disease: State-of-the-art of the evidence
Hampel, H. J., Nisticò, R., Seyfried, N. T., Levey, A. I., Modeste, E. S., Lemercier, P., Baldacci, F., Toschi, N., Garaci, F., Perry, G. L., et al. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101346 · Cited by 142 · see citing works
Codina‐Solà, M., Rodríguez‐Santiago, B., Homs, A., Santoyo‐López, J., Rigau, M., Laín, G. A., Campo, M. D., Gener, B., Gabau, E., Botella, M. P., et al. (2015) · Molecular Autism · doi:10.1186/s13229-015-0017-0 · Cited by 132 · see citing works
Radtke, K. M., Schauer, M., Gunter, H. M., Ruf-Leuschner, M., Sill, J., Meyer, A., & Elbert, T. (2015) · Translational Psychiatry · doi:10.1038/tp.2015.63 · Cited by 128 · see citing works
Circulating miRNAs as Diagnostic Biomarkers for Parkinson’s Disease
Roser, A., Gomes, L. C., Schünemann, J. S., Maass, F., & Lingor, P. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00625 · Cited by 129 · see citing works
Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau
Rayaprolu, S., Higginbotham, L., Bagchi, P., Watson, C. M., Zhang, T., Levey, A. I., Rangaraju, S., & Seyfried, N. T. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-020-00840-3 · Cited by 118 · see citing works
Córdova-Palomera, A., Fatjó-Vilas, M., Gastó, C., Navarro, V, Krebs, M.-O., & Fañanás, L. (2015) · Translational Psychiatry · doi:10.1038/tp.2015.49 · Cited by 117 · see citing works
Beyond genotype: serotonin transporter epigenetic modification predicts human brain function
Nikolova, Y. S., Koenen, K. C., Galea, S., Wang, C., Seney, M. L., Sibille, E. L., Williamson, D. E., & Hariri, A. R. (2014) · Nature Neuroscience · doi:10.1038/nn.3778 · Cited by 114 · see citing works
Bengston, S. E., Dahan, R. A., Donaldson, Z. R., Phelps, S. M., van Oers, K., Sih, A., & Bell, A. M. (2018) · Nature Ecology & Evolution · doi:10.1038/s41559-017-0411-4 · Cited by 114 · see citing works
Dubey, N., Hoffman, J. F., Schuebel, K., Yuan, Q., Martinez, P. E., Nieman, L. K., Rubinow, D. R., Schmidt, P. J., & Goldman, D. A. (2017) · Molecular Psychiatry · doi:10.1038/mp.2016.229 · Cited by 103 · see citing works
Emerging Role of Epigenetic Mechanisms in Alcohol Addiction
Berkel, T. D. M., & Pandey, S. C. (2017) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.13338 · Cited by 100 · see citing works
Epigenetic aging is accelerated in alcohol use disorder and regulated by genetic variation in APOL2
Luo, A. C., Jung, J., Longley, M. J., Rosoff, D. B., Charlet, K., Muench, C., Lee, J., Hodgkinson, C. A., Goldman, D. A., Horvath, S., et al. (2019) · Neuropsychopharmacology · doi:10.1038/s41386-019-0500-y · Cited by 96 · see citing works
Hess, J., Tylee, D. S., Barve, R., de Jong, S., Ophoff, R. A., Kumarasinghe, N., Tooney, P. A., Schall, U., Gardiner, E. J., Beveridge, N. J., et al. (2016) · Schizophrenia Research · doi:10.1016/j.schres.2016.07.006 · Cited by 90 · see citing works
Self-citationAlexander, N., Kirschbaum, C., Wankerl, M., Stauch, B. J., Stalder, T., Steudte-Schmiedgen, S., Muehlhan, M., & Miller, R. (2018) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2018.01.020 · Cited by 90 · see citing works
Mariani, N., Cattane, N., Pariante, C. M., & Cattaneo, A. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01469-6 · Cited by 91 · see citing works
Chromatin-Remodeling-Factor ARID1B Represses Wnt/β-Catenin Signaling
Vasileiou, G., Ekici, A. B., Uebe, S., Zweier, C., Hoyer, J., Engels, H., Behrens, J., Reis, A., & Hadjihannas, M. V. (2015) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2015.08.002 · Cited by 81 · see citing works
Fabbri, C., Hosák, L., Mößner, R., Giegling, I., Mandelli, L., Bellivier, F., Claes, S. J., Collier, D. A., Corrales, A., DeLisi, L. E., et al. (2016) · The World Journal of Biological Psychiatry · doi:10.1080/15622975.2016.1208843 · Cited by 81 · see citing works
Serum Amino Acid Profiles in Normal Subjects and in Patients with or at Risk of Alzheimer Dementia
Corso, G., Cristofano, A., Sapere, N., la Marca, G., Angiolillo, A., Vitale, M., Fratangelo, R., Lombardi, T., Porcile, C., Intrieri, M., et al. (2017) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000466688 · Cited by 79 · see citing works
Siu, M., Butcher, D. T., Turinsky, A. L., Cytrynbaum, C. S., Stavropoulos, D. J., Walker, S., Caluseriu, O., Carter, M., Lou, Y., Nicolson, R., et al. (2019) · Clinical Epigenetics · doi:10.1186/s13148-019-0684-3 · Cited by 77 · see citing works
Cattane, N., Minelli, A., Milanesi, E., Maj, C., Bignotti, S., Bortolomasi, M., Bocchio‐Chiavetto, L., & Gennarelli, M. (2015) · PLoS ONE · doi:10.1371/journal.pone.0116686 · Cited by 72 · see citing works
Towards understanding the biology of premenstrual dysphoric disorder: From genes to GABA
Hantsoo, L. V., & Payne, J. L. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105168 · Cited by 72 · see citing works
Tylee, D. S., Chandler, S. D., Nievergelt, C. M., Liu, X., Pazol, J., Woelk, C. H., Lohr, J. B., Kremen, W. S., Baker, D. G., Glatt, S. J., et al. (2015) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2014.09.024 · Cited by 65 · see citing works
Self-citationCan we observe epigenetic effects on human brain function?
Nikolova, Y. S., & Hariri, A. R. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.05.003 · Cited by 67 · see citing works
Pre- and Perinatal Ischemia-Hypoxia, the Ischemia-Hypoxia Response Pathway, and ADHD Risk
Smith, T. F., Schmidt-Kastner, R., McGeary, J., Kaczorowski, J. A., & Knopik, V. (2016) · Behavior Genetics · doi:10.1007/s10519-016-9784-4
Iurescia, S., Seripa, D., & Rinaldi, M. (2016) · Molecular Neurobiology · doi:10.1007/s12035-016-0304-6 · Cited by 66 · see citing works
Non-Coding RNA as Novel Players in the Pathophysiology of Schizophrenia
Gibbons, A. S., Udawela, M., & Dean, B. (2018) · Non-Coding RNA · doi:10.3390/ncrna4020011 · Cited by 64 · see citing works
Progress in Detection of Insomnia Sleep Disorder: A Comprehensive Review
Heyat, M. B. B., Akhtar, F., Ansari, M. A., Khan, A. H., Alkahtani, F., Khan, H. Z., & Lai, D. (2020) · Current Drug Targets · doi:10.2174/1389450121666201027125828 · Cited by 63 · see citing works
Early life trauma, depression and the glucocorticoid receptor gene—An epigenetic perspective
Smart, C., Strathdee, G., Watson, S., Murgatroyd, C., & McAllister-Williams, R. H. (2015) · Psychological Medicine · doi:10.1017/s0033291715001555 · Cited by 61 · see citing works
Glucocorticoid receptor gene methylation and HPA-axis regulation in adolescents. The TRAILS study
van der Knaap, L. J., Oldehinkel, A. J., Verhulst, F. C., van Oort, F. V. A., & Riese, H. (2015) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2015.04.012 · Cited by 60 · see citing works
Khulan, B., Manning, J. R., Dunbar, D. R., Seckl, J. R., Raikkonen, K., Eriksson, J. G., & Drake, A. J. (2014) · Translational Psychiatry · doi:10.1038/tp.2014.94 · Cited by 59 · see citing works
The effect of listening to music on human transcriptome
Kanduri, C., Raijas, P., Ahvenainen, M., Philips, A. K., Ukkola‐Vuoti, L., Lähdesmäki, H. J., & Järvelä, I. E. (2015) · PeerJ · doi:10.7717/peerj.830 · Cited by 58 · see citing works
Discrimination Exposure and DNA Methylation of Stress-Related Genes in Latina Mothers
Junior, H. P. D. O. S., Nephew, B. C., Bhattacharya, A., Tan, X. M., Smith, L., Alyamani, R. A. S., Martin, E. M., Perreira, K. M., Fry, R. C., & Murgatroyd, C. (2018) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2018.08.014 · Cited by 58 · see citing works
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 · see citing works
Park, Y. H., Hodges, A., Risacher, S. L., Lin, K., Jang, J., Ahn, S., Kim, S., Lovestone, S., Simmons, A., Weiner, M. W., et al. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.12.001 · Cited by 53 · see citing works
Rapid changes in DNA methylation associated with the initiation of reproduction in a small songbird
Lindner, M., Laine, V. N., Verhagen, I., Viitaniemi, H. M., Visser, M. E., van Oers, K., & Husby, A. (2021) · Molecular Ecology · doi:10.1111/mec.15803 · Cited by 52 · see citing works
van der Knaap, L. J., Riese, H., Hudziak, J. J., Verbiest, M. M. P. J., Verhulst, F. C., Oldehinkel, A. J., & van Oort, F. V. A. (2015) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000159 · Cited by 51 · see citing works
Guardado, P., Olivera, A., Rusch, H. L., Roy, M., Martin, C., Lejbman, N., Lee, H., & Gill, J. M. (2016) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2015.12.004 · Cited by 50 · see citing works
Effects of selective serotonin reuptake inhibitors on DNA damage in patients with depression
Ahmadimanesh, M., Abbaszadegan, M. R., Rad, D. M., Moallem, S. A., Mohammadpour, A. H., Ghahremani, M. H., Hosseini, F. F., Behdani, F., Manteghi, A. A., Jowsey, P. A., et al. (2019) · Journal of Psychopharmacology · doi:10.1177/0269881119874461 · Cited by 47 · see citing works
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 · see citing works
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 48 · see citing works
Swathy, B., Saradalekshmi, K. R., Nair, I. V., Nair, C. M., & Banerjee, M. (2018) · Epigenomics · doi:10.2217/epi-2017-0086 · Cited by 47 · see citing works
MicroRNAs in Parkinson’s disease: a systematic review and diagnostic accuracy meta-analysis
Guévremont, D., Roy, J., Cutfield, N. J., & Williams, J. M. (2023) · Scientific Reports · doi:10.1038/s41598-023-43096-9 · Cited by 48 · see citing works
Sánchez‐Mora, C., Artigas, M. S., Iris Garcia-martinez, A., Pagerols, M., Rovira, P., Vanesa Richarte, B., Montse Corrales, F., Fadeuilhe, C., Padilla, N., de la Cruz, X., et al. (2018) · Neuropsychopharmacology · doi:10.1038/s41386-018-0297-0 · Cited by 46 · see citing works
Childhood maltreatment and stress-related psychopathology: the epigenetic memory hypothesis
Lutz, P.-E., Almeida, D., Fiori, L., & Turecki, G. (2015) · Current Pharmaceutical Design · doi:10.2174/1381612821666150105124928 · Cited by 44 · see citing works
Rochtus, A. M., Izzi, B., Vangeel, E. B., Louwette, S., Wittevrongel, C., Lambrechts, D., Moreau, Y., Winand, R., Verpoorten, C., Jansen, K., et al. (2015) · Epigenetics · doi:10.1080/15592294.2014.998531 · Cited by 44 · see citing works
Edlow, A. G., Hui, L., Wick, H., Fried, I., & Bianchi, D. W. (2015) · BJOG An International Journal of Obstetrics & Gynaecology · doi:10.1111/1471-0528.13795 · Cited by 41 · see citing works
Proteasome system dysregulation and treatment resistance mechanisms in major depressive disorder
Minelli, A., Magri, C., Barbon, A., Bonvicini, C., Segala, M., Congiu, C., Bignotti, S., Milanesi, E., Trabucchi, L., Cattane, N., et al. (2015) · Translational Psychiatry · doi:10.1038/tp.2015.180 · Cited by 42 · see citing works
Blažević, S. A., Horvatiček, M., Kesić, M., Zill, P., Hranilović, D., Ivanišević, M., Desoyé, G., & Štefulj, J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0179934 · Cited by 40 · see citing works
Progress and prospects in pharmacogenetics of antidepressant drugs
Fabbri, C., Crisafulli, C., Calabrò, M., Spina, E., & Serretti, A. (2016) · Expert Opinion on Drug Metabolism & Toxicology · doi:10.1080/17425255.2016.1202237 · Cited by 37 · see citing works
Breen, M. S., Wingo, A. P., Koen, N., Donald, K. A., Nicol, M., Zar, H. J., Ressler, K. J., Buxbaum, J. D., & Stein, D. J. (2018) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2018.05.016 · Cited by 35 · see citing works
The Pathways between Cortisol-Related Regulation Genes and PTSD Psychotherapy
Castro-Vale, I., & Carvalho, D. M. (2020) · Healthcare · doi:10.3390/healthcare8040376 · Cited by 38 · see citing works
Carrillo‐Roa, T., Labermaier, C., Weber, P. C., Herzog, D. P., Lareau, C. A., Santarelli, S., Wagner, K. V., Rex‐Haffner, M., Harbich, D., Scharf, S. H., et al. (2017) · PLoS Biology · doi:10.1371/journal.pbio.2002690 · Cited by 35 · see citing works
Epigenetic variance in dopamine D2 receptor: a marker of IQ malleability?
Kaminski, J. A., Schlagenhauf, F., Rapp, M. A., Awasthi, S., Ruggeri, B., Deserno, L., Banaschewski, T., Bokde, A. L. W., Bromberg, U., Büchel, C., et al. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0222-7 · Cited by 35 · see citing works
Taff, C. C., Campagna, L., & Vitousek, M. N. (2019) · Molecular Ecology · doi:10.1111/mec.15186 · Cited by 35 · see citing works
Saeliw, T., Permpoon, T., Iadsee, N., Tencomnao, T., Hu, V. W., Sarachana, T., GREEN, D. J., & Sae‐Lee, C. (2022) · Scientific Reports · doi:10.1038/s41598-022-18232-6 · Cited by 35 · see citing works
Costanzo, A. D., Paris, D., Melck, D. J., Angiolillo, A., Corso, G., Maniscalco, M., & Motta, A. (2020) · Scientific Reports · doi:10.1038/s41598-020-71832-y · Cited by 34 · see citing works
Drabe, M., Rullmann, M., Luthardt, J., Boettcher, Y., Regenthal, R., Ploetz, T., Becker, G. A., Patt, M., Schinke, C., Bergh, F. T., et al. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.133 · Cited by 32 · see citing works
Epigenetic regulation of cognition: A circumscribed review of the field
Grigorenko, E. L., Kornilov, S. A., & Naumova, O. Y. (2016) · Development and Psychopathology · doi:10.1017/s0954579416000857 · Cited by 32 · see citing works
Winckelmans, E., Vrijens, K., Tsamou, M., Janssen, B. G., Saenen, N. D., Roels, H. A., Kleinjans, J. C. S., Lefebvre, W., Vanpoucke, C., de Kok, T. M. C. M., et al. (2017) · Environmental Health · doi:10.1186/s12940-017-0264-y · Cited by 33 · see citing works
Bidwell, L. C., Karoly, H. C., Thayer, R. E., Claus, E. D., Bryan, A. D., Weiland, B. J., YorkWilliams, S. L., & Hutchison, K. E. (2018) · Addiction Biology · doi:10.1111/adb.12614 · Cited by 33 · see citing works
Hess, J., Tylee, D. S., Barve, R., de Jong, S., Ophoff, R. A., Kumarasinghe, N., Tooney, P. A., Schall, U., Gardiner, E. J., Beveridge, N. J., et al. (2019) · Schizophrenia Research · doi:10.1016/j.schres.2019.07.036 · Cited by 33 · see citing works
Self-citationSaffari, A., Arno, M. J., Nasser, E. E., Ronald, A., Wong, C. C. Y., Schalkwyk, L. C., Mill, J. S., Dudbridge, F., & Meaburn, E. L. (2019) · Molecular Autism · doi:10.1186/s13229-019-0285-1 · Cited by 32 · see citing works
Future Prospects for Epigenetics in Autism Spectrum Disorder
Williams, L. A., & LaSalle, J. M. (2022) · Molecular Diagnosis & Therapy · doi:10.1007/s40291-022-00608-z · Cited by 34 · see citing works
Machine Learning-Based Blood RNA Signature for Diagnosis of Autism Spectrum Disorder
Voinsky, I., Fridland, O. Y., Aran, A. A., Frye, R. E., & Gurwitz, D. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24032082 · Cited by 33 · see citing works
Prenatal transportation stress alters genome-wide DNA methylation in suckling Brahman bull calves1,2
Littlejohn, B. P., Price, D. M., Neuendorff, D. A., Carroll, J. A., Vann, R. C., Riggs, P. K., Riley, D. G., Long, C. R., Welsh, T. H., & Randel, R. D. (2018) · Journal of Animal Science · doi:10.1093/jas/sky350 · Cited by 31 · see citing works
Middelkamp, S., van Heesch, S., Braat, A. K., de Ligt, J., van Iterson, M., Simonis, M., van Roosmalen, M. J., Kelder, M. J. E., Kruisselbrink, E., Hochstenbach, R., et al. (2017) · Genome Medicine · doi:10.1186/s13073-017-0399-z · Cited by 31 · see citing works
Longitudinal associations between glucocorticoid receptor methylation and late-life depression
Kang, H.-J., Bae, K.-Y., Kim, S.-W., Shin, I.-S., Kim, H.-R., Shin, M.-G., Yoon, J.-S., & Kim, J.-M. (2018) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2018.02.004 · Cited by 30 · see citing works
Huang, J., Liu, F., Wang, B., Tang, H., Teng, Z., Li, L., Qiu, Y., Wu, H., & Chen, J. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00232 · Cited by 29 · see citing works
Sharma, R., Frasch, M. G., Zelgert, C., Zimmermann, P., Fabre, B. R., Wilson, R., Waldenberger, M., MacDonald, J. W., Bammler, T. K., Lobmaier, S. M., et al. (2022) · Clinical Epigenetics · doi:10.1186/s13148-022-01310-x · Cited by 32 · see citing works
Focusing on the Opioid System for Addiction Biomarker Discovery
Belzeaux, R., Lalanne, L., Kieffer, B. L., & Lutz, P.-E. (2018) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2017.12.004 · Cited by 28 · see citing works
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 · see citing works
Therapeutic response to paroxetine in major depressive disorder predicted by DNA Methylation
Takeuchi, N., Nonen, S., Kato, M., Wakeno, M., Takekita, Y., Kinoshita, T., & Kugawa, F. (2017) · Neuropsychobiology · doi:10.1159/000480512 · Cited by 26 · see citing works
Middelkamp, S., Vlaar, J. M., Giltay, J. C., Korzelius, J., Besselink, N. J. M., Boymans, S., Janssen, R., de la Fonteijne, L., van Binsbergen, E., van Roosmalen, M. J., et al. (2019) · Genome Medicine · doi:10.1186/s13073-019-0692-0 · Cited by 26 · see citing works
Yamagata, H., Kobayashi, A., Tsunedomi, R., Seki, T., Kobayashi, M., Hagiwara, K., Chen, C., Uchida, S., Okada, G., Fuchikami, M., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-96567-2 · Cited by 26 · see citing works
Jung, J., McCartney, D. L., Wagner, J., Yoo, J., Bell, A. S., Mavromatis, L. A., Rosoff, D. B., Hodgkinson, C. A., Sun, H., Schwandt, M. L., et al. (2022) · Biological Psychiatry · doi:10.1016/j.biopsych.2022.06.036 · Cited by 26 · see citing works
Hori, H., Yoshida, F., Ishida, I., Matsuo, J., Ogawa, S., Hattori, K., Kim, Y., & Kunugi, H. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.01.080 · Cited by 27 · see citing works
Longitudinal Analyses of Blood Transcriptome During Conversion to Psychosis
Chaumette, B., Kébir, O., Pouch, J., Ducos, B., Selimi, F., ICAAR study group, Raphaël Gaillard, B., & Krebs, M. (2018) · Schizophrenia Bulletin · doi:10.1093/schbul/sby009 · Cited by 26 · see citing works
MiR‐193b deregulation is associated with Parkinson's disease
Baghi, M., Yadegari, E., Delavar, M. R., Peymani, M., Ganjalıkhani-Hakemi, M., Salari, M., Nasr‐Esfahani, M. H., Megraw, T. L., & Ghaedi, K. (2021) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.16612 · Cited by 25 · see citing works
Yang, J., He, W., Gu, L., Zhu, L., Liang, T., Liang, X., Zhong, Q., Zhang, R., Nan, A., & Su, L. (2023) · Translational research · doi:10.1016/j.trsl.2023.01.007 · Cited by 25 · see citing works
Ota, V., Noto, C. D. S., Santoro, M. L., Spíndola, L., Gouvêa, E. S., Carvalho, C. M., Santos, C. M., Xavier, G., Higuchi, C. H., Yonamine, C. M., et al. (2015) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2015.09.013 · Cited by 25 · see citing works
Rochtus, A. M., Winand, R., Laenen, G., Vangeel, E. B., Izzi, B., Wittevrongel, C., Moreau, Y., Verpoorten, C., Jansen, K., Geet, C. V., et al. (2016) · Clinical Epigenetics · doi:10.1186/s13148-016-0272-8 · Cited by 25 · see citing works
Zhou, Y., Lutz, P., Ibrahim, E., Courtet, P., Tzavara, E., Turecki, G., & Belzeaux, R. (2020) · Journal of Neuroscience Research · doi:10.1002/jnr.24367 · Cited by 21 · see citing works
Sanwald, S., Gahr, M., Widenhorn-Müller, K., Schönfeldt-Lecuona, C., Richter, K., Connemann, B., Kammer, T., Montag, C., & Kiefer, M. (2019) · Journal of Molecular Neuroscience · doi:10.1007/s12031-019-01446-1 · Cited by 22 · see citing works
Association between COMT methylation and response to treatment in children with ADHD
Fageera, W., Chaumette, B., Fortier, M., Grizenko, N., Labbe, A., Sengupta, S. M., & Joober, R. (2021) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2021.01.008 · Cited by 23 · see citing works
MicroRNA Landscape in Alzheimer’s Disease
Cogoni, C., Ruberti, F., & Barbato, C. (2015) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/1871527314666150116123305 · Cited by 24 · see citing works
Louder, M. I. M., Hauber, M. E., & Balakrishnan, C. N. (2018) · Behavioural Brain Research · doi:10.1016/j.bbr.2018.02.034 · Cited by 21 · see citing works
Perinatal stress and methylation of the <i>NR3C1</i> gene in newborns: systematic review
Chalfun, G., Reis, M. M., de Oliveira, M. B. G., de Araújo Brasil, A., dos Santos Salú, M., da Cunha, A. J. L. A., Prata-Barbosa, A., & de Magalhães-Barbosa, M. C. (2022) · Epigenetics · doi:10.1080/15592294.2021.1980691 · Cited by 22 · see citing works
Hess, J., Quinn, T. P., Akbarian, S., & Glatt, S. J. (2014) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32284 · Cited by 21 · see citing works
Self-citationIdentifying biomarkers for prenatal diagnosis of neural tube defects based on “omics”
Huang, W., Gu, H., & Yuan, Z. (2021) · Clinical Genetics · doi:10.1111/cge.14087 · Cited by 22 · see citing works
Tylee, D. S., Espinoza, A. J., Hess, J., Tahir, M. A., Mccoy, S. Y., Rim, J., Dhimal, T., Cohen, O. S., & Glatt, S. J. (2016) · Autism Research · doi:10.1002/aur.1679 · Cited by 21 · see citing works
Self-citationBlood and brain gene expression signatures of chronic intermittent ethanol consumption in mice
Ferguson, L. B., Roberts, A. J., Mayfield, R. D., & Messing, R. O. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009800 · Cited by 20 · see citing works
Hicks, E. M., Seah, C., Cote, A. C., Marchese, S., Brennand, K., Nestler, E. J., Girgenti, M. J., & Huckins, L. M. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02412-7 · Cited by 20 · see citing works
Investigating epigenetic consequences of early-life adversity: some methodological considerations
Fiori, L. M., & Turecki, G. (2016) · European Journal of Psychotraumatology · doi:10.3402/ejpt.v7.31593 · Cited by 20 · see citing works
- Authors
- Tylee, D. S., Kawaguchi, D. M., & Glatt, S. J.
- Affiliations
- SUNY Upstate Medical University (US)
- Corresponding author
- Glatt, Stephen J.
- Venue
- American Journal of Medical Genetics Part B: Neuropsychiatric Genetics
- Publisher
- Wiley
- Published
- 2013-10
- Volume
- 162
- Issue
- 7
- Pages
- 595-603
- ISSN
- 1552-4841 (ISSN-L)
- 1552-485X
- OpenAlex
- W2023496972
- Cited by
- 243
- References
- 35
- Citations by year
- 2026: 14 · 2025: 6 · 2024: 11 · 2023: 20 · 2022: 25 · 2021: 18 · 2020: 18 · 2019: 22 · 2018: 32 · 2017: 20 · 2016: 22 · 2015: 27 · 2014: 8
- FWCI
- 8.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Medical Genetics Part B Neuropsychiatric Genetics (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Health, Environment, Cognitive Aging
- Keywords
- peripheral blood biomarkers, brain tissue, DNA methylation, CpG island methylation, transcriptome, proteome, epigenome, brain disorders, biomarker validation
- MeSH terms
- Blood, Brain, Humans, Proteome, Epigenomics, Transcriptome
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