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      Polygenic risk for schizophrenia, social dispositions, and pace of epigenetic aging: Results from the Young Finns Study

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          Abstract

          Schizophrenia is often regarded as a disorder of premature aging. We investigated (a) whether polygenic risk for schizophrenia (PRS sch) relates to pace of epigenetic aging and (b) whether personal dispositions toward active and emotionally close relationships protect against accelerated epigenetic aging in individuals with high PRS sch. The sample came from the population‐based Young Finns Study ( n = 1348). Epigenetic aging was measured with DNA methylation aging algorithms such as AgeAccel Hannum, EEAA Hannum, IEAA Hannum, IEAA Horvath, AgeAccel Horvath, AgeAccel Pheno, AgeAccel Grim, and DunedinPACE. A PRS sch was calculated using summary statistics from the most comprehensive genome‐wide association study of schizophrenia to date. Social dispositions were assessed in terms of extraversion, sociability, reward dependence, cooperativeness, and attachment security. We found that PRS sch did not have a statistically significant effect on any studied indicator of epigenetic aging. Instead, PRS sch had a significant interaction with reward dependence ( p = 0.001–0.004), cooperation ( p = 0.009–0.020), extraversion ( p = 0.019–0.041), sociability ( p = 0.003–0.016), and attachment security ( p = 0.007–0.014) in predicting AgeAccel Hannum, EEAA Hannum, or IEAA Hannum. Specifically, participants with high PRS sch appeared to display accelerated epigenetic aging at higher (vs. lower) levels of extraversion, sociability, attachment security, reward dependence, and cooperativeness. A rather opposite pattern was evident for those with low PRS sch. No such interactions were evident when predicting the other indicators of epigenetic aging. In conclusion, against our hypothesis, frequent social interactions may relate to accelerated epigenetic aging in individuals at risk for psychosis. We speculate that this may be explained by social‐cognitive impairments (perceiving social situations as overwhelming or excessively arousing) or ending up in less supportive or deviant social groups.

          Abstract

          Individuals with a high polygenic risk for schizophrenia seem to display accelerated epigenetic aging at higher (vs. lower) inner drive for social relationships. A rather opposite pattern was found among those with a low polygenic risk for schizophrenia. Thus, frequent social interactions may relate to accelerated epigenetic aging in individuals at risk for psychosis.

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          DNA methylation age of human tissues and cell types

          Background It is not yet known whether DNA methylation levels can be used to accurately predict age across a broad spectrum of human tissues and cell types, nor whether the resulting age prediction is a biologically meaningful measure. Results I developed a multi-tissue predictor of age that allows one to estimate the DNA methylation age of most tissues and cell types. The predictor, which is freely available, was developed using 8,000 samples from 82 Illumina DNA methylation array datasets, encompassing 51 healthy tissues and cell types. I found that DNA methylation age has the following properties: first, it is close to zero for embryonic and induced pluripotent stem cells; second, it correlates with cell passage number; third, it gives rise to a highly heritable measure of age acceleration; and, fourth, it is applicable to chimpanzee tissues. Analysis of 6,000 cancer samples from 32 datasets showed that all of the considered 20 cancer types exhibit significant age acceleration, with an average of 36 years. Low age-acceleration of cancer tissue is associated with a high number of somatic mutations and TP53 mutations, while mutations in steroid receptors greatly accelerate DNA methylation age in breast cancer. Finally, I characterize the 353 CpG sites that together form an aging clock in terms of chromatin states and tissue variance. Conclusions I propose that DNA methylation age measures the cumulative effect of an epigenetic maintenance system. This novel epigenetic clock can be used to address a host of questions in developmental biology, cancer and aging research.
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            Biological Insights From 108 Schizophrenia-Associated Genetic Loci

            Summary Schizophrenia is a highly heritable disorder. Genetic risk is conferred by a large number of alleles, including common alleles of small effect that might be detected by genome-wide association studies. Here, we report a multi-stage schizophrenia genome-wide association study of up to 36,989 cases and 113,075 controls. We identify 128 independent associations spanning 108 conservatively defined loci that meet genome-wide significance, 83 of which have not been previously reported. Associations were enriched among genes expressed in brain providing biological plausibility for the findings. Many findings have the potential to provide entirely novel insights into aetiology, but associations at DRD2 and multiple genes involved in glutamatergic neurotransmission highlight molecules of known and potential therapeutic relevance to schizophrenia, and are consistent with leading pathophysiological hypotheses. Independent of genes expressed in brain, associations were enriched among genes expressed in tissues that play important roles in immunity, providing support for the hypothesized link between the immune system and schizophrenia.
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              An epigenetic biomarker of aging for lifespan and healthspan

              Identifying reliable biomarkers of aging is a major goal in geroscience. While the first generation of epigenetic biomarkers of aging were developed using chronological age as a surrogate for biological age, we hypothesized that incorporation of composite clinical measures of phenotypic age that capture differences in lifespan and healthspan may identify novel CpGs and facilitate the development of a more powerful epigenetic biomarker of aging. Using an innovative two-step process, we develop a new epigenetic biomarker of aging, DNAm PhenoAge, that strongly outperforms previous measures in regards to predictions for a variety of aging outcomes, including all-cause mortality, cancers, healthspan, physical functioning, and Alzheimer's disease. While this biomarker was developed using data from whole blood, it correlates strongly with age in every tissue and cell tested. Based on an in-depth transcriptional analysis in sorted cells, we find that increased epigenetic, relative to chronological age, is associated with increased activation of pro-inflammatory and interferon pathways, and decreased activation of transcriptional/translational machinery, DNA damage response, and mitochondrial signatures. Overall, this single epigenetic biomarker of aging is able to capture risks for an array of diverse outcomes across multiple tissues and cells, and provide insight into important pathways in aging.
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                Author and article information

                Contributors
                aino.i.saarinen@helsinki.fi
                Journal
                Aging Cell
                Aging Cell
                10.1111/(ISSN)1474-9726
                ACEL
                Aging Cell
                John Wiley and Sons Inc. (Hoboken )
                1474-9718
                1474-9726
                29 November 2023
                March 2024
                : 23
                : 3 ( doiID: 10.1111/acel.v23.3 )
                : e14052
                Affiliations
                [ 1 ] Department of Psychology and Logopedics, Faculty of Medicine University of Helsinki Helsinki Finland
                [ 2 ] Helsinki University Central Hospital Adolescent Psychiatry Outpatient Clinic Helsinki Finland
                [ 3 ] Department of Molecular Epidemiology, Faculty of Medicine and Health Technology Tampere University Tampere Finland
                [ 4 ] Gerontology Research Center Tampere University Tampere Finland
                [ 5 ] Faculty of Medicine and Health Technology Tampere University Tampere Finland
                [ 6 ] Department of Clinical Chemistry Fimlab Laboratories Tampere Finland
                [ 7 ] Finnish Cardiovascular Research Center Tampere Finland
                [ 8 ] Department of Cardiology, Heart Center Tampere University Hospital Tampere Finland
                [ 9 ] Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology Tampere University Tampere Finland
                [ 10 ] Department of Psychiatry University of Turku Turku Finland
                [ 11 ] Turku University Hospital Turku Finland
                [ 12 ] Department of Clinical Physiology Tampere University Hospital Tampere Finland
                [ 13 ] Research Centre of Applied and Preventive Cardiovascular Medicine University of Turku Turku Finland
                [ 14 ] Centre for Population Health Research University of Turku Turku Finland
                [ 15 ] Department of Clinical Physiology and Nuclear Medicine Turku University Hospital Turku Finland
                [ 16 ] Department of Medicine University of Turku Turku Finland
                [ 17 ] Division of Medicine Turku University Hospital Turku Finland
                Author notes
                [*] [* ] Correspondence

                Aino Saarinen, Department of Psychology and Logopedics, Faculty of Medicine, Haartmaninkatu 3, P.O. Box 21, 00014 University of Helsinki, Helsinki, Finland.

                Email: aino.i.saarinen@ 123456helsinki.fi

                Author information
                https://orcid.org/0000-0003-4495-8360
                Article
                ACEL14052 ACE-23-0516.R1
                10.1111/acel.14052
                10928579
                38031635
                c9c0e552-b333-4238-9680-a1cda47b53ec
                © 2023 The Authors. Aging Cell published by Anatomical Society and John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 26 October 2023
                : 10 July 2023
                : 15 November 2023
                Page count
                Figures: 2, Tables: 2, Pages: 13, Words: 9994
                Funding
                Funded by: Academy of Finland , doi 10.13039/501100002341;
                Award ID: 104821
                Award ID: 117797
                Award ID: 121584
                Award ID: 124282
                Award ID: 126925
                Award ID: 129378
                Award ID: 134309
                Award ID: 141071
                Award ID: 255381
                Award ID: 256474
                Award ID: 283115
                Award ID: 286284
                Award ID: 314389
                Award ID: 319060
                Award ID: 320297
                Award ID: 322098
                Award ID: 330809
                Award ID: 338395
                Award ID: 349708
                Award ID: 356405
                Funded by: Social Insurance Institution of Finland , doi 10.13039/501100002327;
                Funded by: Competitive State Research Financing of the Expert Responsibility area of Kuopio, Tampere
                Funded by: Turku University Hospitals
                Award ID: X51001
                Funded by: Juho Vainio Foundation , doi 10.13039/501100004037;
                Funded by: Paavo Nurmi Foundation , doi 10.13039/501100008484;
                Funded by: Finnish Foundation for Cardiovascular Research , doi 10.13039/501100005633;
                Funded by: Finnish Cultural Foundation , doi 10.13039/501100003125;
                Funded by: The Sigrid Juselius Foundation
                Funded by: Tampere Tuberculosis Foundation , doi 10.13039/501100006706;
                Funded by: Emil Aaltonen Foundation , doi 10.13039/501100004756;
                Award ID: 220255
                Funded by: Yrjö Jahnsson Foundation , doi 10.13039/100010114;
                Funded by: The Maud Kuistila Memorial Foundation , doi 10.13039/100010129;
                Funded by: Signe and Ane Gyllenberg Foundation , doi 10.13039/501100004325;
                Funded by: Diabetes Research Foundation of Finnish Diabetes Association
                Funded by: EU Horizon 2020
                Award ID: 848146
                Award ID: 755320
                Funded by: European Research Council , doi 10.13039/100010663;
                Award ID: 742927
                Funded by: Tampere University Hospital Supporting Foundation
                Funded by: Finnish Society of Clinical Chemistry , doi 10.13039/501100022340;
                Funded by: Cancer Foundation Finland , doi 10.13039/501100010711;
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                March 2024
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.9 mode:remove_FC converted:12.03.2024

                Cell biology
                biological clock,epigenetic clock,longitudinal,psychosis,social development,social functioning

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