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      Fathers’ preconception smoking and offspring DNA methylation

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          Abstract

          Background

          Experimental studies suggest that exposures may impact respiratory health across generations via epigenetic changes transmitted specifically through male germ cells. Studies in humans are, however, limited. We aim to identify epigenetic marks in offspring associated with father’s preconception smoking.

          Methods

          We conducted epigenome-wide association studies (EWAS) in the RHINESSA cohort (7–50 years) on father’s any preconception smoking ( n = 875 offspring) and father’s pubertal onset smoking < 15 years ( n = 304), using Infinium MethylationEPIC Beadchip arrays, adjusting for offspring age, own smoking and maternal smoking. EWAS of maternal and offspring personal smoking were performed for comparison. Father’s smoking-associated dmCpGs were checked in subpopulations of offspring who reported no personal smoking and no maternal smoking exposure.

          Results

          Father’s smoking commencing preconception was associated with methylation of blood DNA in offspring at two cytosine-phosphate-guanine sites (CpGs) (false discovery rate (FDR) < 0.05) in PRR5 and CENPP. Father’s pubertal onset smoking was associated with 19 CpGs (FDR < 0.05) mapped to 14 genes ( TLR9, DNTT, FAM53B, NCAPG2, PSTPIP2, MBIP, C2orf39, NTRK2, DNAJC14, CDO1, PRAP1, TPCN1, IRS1 and CSF1R). These differentially methylated sites were hypermethylated and associated with promoter regions capable of gene silencing. Some of these sites were associated with offspring outcomes in this cohort including ever-asthma (NTRK2), ever-wheezing (DNAJC14, TPCN1), weight (FAM53B, NTRK2) and BMI (FAM53B, NTRK2) ( p < 0.05). Pathway analysis showed enrichment for gene ontology pathways including regulation of gene expression, inflammation and innate immune responses. Father’s smoking-associated sites did not overlap with dmCpGs identified in EWAS of personal and maternal smoking (FDR < 0.05), and all sites remained significant ( p < 0.05) in analyses of offspring with no personal smoking and no maternal smoking exposure.

          Conclusion

          Father’s preconception smoking, particularly in puberty, is associated with offspring DNA methylation, providing evidence that epigenetic mechanisms may underlie epidemiological observations that pubertal paternal smoking increases risk of offspring asthma, low lung function and obesity.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13148-023-01540-7.

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          Most cited references62

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            limma powers differential expression analyses for RNA-sequencing and microarray studies

            limma is an R/Bioconductor software package that provides an integrated solution for analysing data from gene expression experiments. It contains rich features for handling complex experimental designs and for information borrowing to overcome the problem of small sample sizes. Over the past decade, limma has been a popular choice for gene discovery through differential expression analyses of microarray and high-throughput PCR data. The package contains particularly strong facilities for reading, normalizing and exploring such data. Recently, the capabilities of limma have been significantly expanded in two important directions. First, the package can now perform both differential expression and differential splicing analyses of RNA sequencing (RNA-seq) data. All the downstream analysis tools previously restricted to microarray data are now available for RNA-seq as well. These capabilities allow users to analyse both RNA-seq and microarray data with very similar pipelines. Second, the package is now able to go past the traditional gene-wise expression analyses in a variety of ways, analysing expression profiles in terms of co-regulated sets of genes or in terms of higher-order expression signatures. This provides enhanced possibilities for biological interpretation of gene expression differences. This article reviews the philosophy and design of the limma package, summarizing both new and historical features, with an emphasis on recent enhancements and features that have not been previously described.
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              STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets

              Abstract Proteins and their functional interactions form the backbone of the cellular machinery. Their connectivity network needs to be considered for the full understanding of biological phenomena, but the available information on protein–protein associations is incomplete and exhibits varying levels of annotation granularity and reliability. The STRING database aims to collect, score and integrate all publicly available sources of protein–protein interaction information, and to complement these with computational predictions. Its goal is to achieve a comprehensive and objective global network, including direct (physical) as well as indirect (functional) interactions. The latest version of STRING (11.0) more than doubles the number of organisms it covers, to 5090. The most important new feature is an option to upload entire, genome-wide datasets as input, allowing users to visualize subsets as interaction networks and to perform gene-set enrichment analysis on the entire input. For the enrichment analysis, STRING implements well-known classification systems such as Gene Ontology and KEGG, but also offers additional, new classification systems based on high-throughput text-mining as well as on a hierarchical clustering of the association network itself. The STRING resource is available online at https://string-db.org/.
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                Author and article information

                Contributors
                J.W.Holloway@soton.ac.uk
                Journal
                Clin Epigenetics
                Clin Epigenetics
                Clinical Epigenetics
                BioMed Central (London )
                1868-7075
                1868-7083
                31 August 2023
                31 August 2023
                2023
                : 15
                : 131
                Affiliations
                [1 ]GRID grid.5491.9, ISNI 0000 0004 1936 9297, Human Development and Health, Faculty of Medicine, , University of Southampton, ; Southampton, SO16 6YD UK
                [2 ]GRID grid.7914.b, ISNI 0000 0004 1936 7443, Department of Clinical Sciences, , University of Bergen, ; Bergen, Norway
                [3 ]GRID grid.412008.f, ISNI 0000 0000 9753 1393, Department of Occupational Medicine, , Haukeland University Hospital, ; Bergen, Norway
                [4 ]GRID grid.7914.b, ISNI 0000 0004 1936 7443, Centre for International Health, Department of Global Public Health and Primary Care, , University of Bergen, ; Bergen, Norway
                [5 ]GRID grid.8186.7, ISNI 0000 0001 2168 2483, Department of Computer Science, , Aberystwyth University, ; Aberystwyth, UK
                [6 ]GRID grid.8993.b, ISNI 0000 0004 1936 9457, Department of Medical Sciences: Clinical Physiology, , Uppsala University, ; Uppsala, Sweden
                [7 ]GRID grid.12650.30, ISNI 0000 0001 1034 3451, Section of Sustainable Health, Department of Public Health and Clinical Medicine, , Umeå University, ; Umeå, Sweden
                [8 ]GRID grid.410540.4, ISNI 0000 0000 9894 0842, Department of Allergy, Respiratory Medicine and Sleep, , Landspitali University Hospital, ; Reykjavik, Iceland
                [9 ]GRID grid.14013.37, ISNI 0000 0004 0640 0021, Faculty of Medicine, , University of Iceland, ; Reykjavik, Iceland
                [10 ]GRID grid.1012.2, ISNI 0000 0004 1936 7910, Wal-Yan Respiratory Research Centre, Telethon Kids Institute, , University of Western Australia, ; Perth, Australia
                [11 ]GRID grid.411094.9, ISNI 0000 0004 0506 8127, Department of Pulmonology, , Albacete University Hospital Complex, ; Albacete, Spain
                [12 ]GRID grid.418355.e, El Torrejón Health Centre, , Andalusian Health Service, ; Huelva, Spain
                [13 ]GRID grid.8761.8, ISNI 0000 0000 9919 9582, Occupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, , University of Gothenburg, ; Gothenburg, Sweden
                [14 ]GRID grid.1008.9, ISNI 0000 0001 2179 088X, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, , University of Melbourne, ; Melbourne, Australia
                [15 ]GRID grid.5337.2, ISNI 0000 0004 1936 7603, University of Bristol, MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, ; Bristol, UK
                [16 ]GRID grid.412008.f, ISNI 0000 0000 9753 1393, Department of Gynaecology and Obstetrics, , Haukeland University Hospital, ; Bergen, Norway
                [17 ]GRID grid.7048.b, ISNI 0000 0001 1956 2722, Department of Public Health, Work, Environment and Health, Danish Ramazzini Centre, , Aarhus University Denmark, ; Aarhus, Denmark
                [18 ]GRID grid.418079.3, ISNI 0000 0000 9531 3915, National Research Center for the Working Environment, ; Copenhagen, Denmark
                [19 ]GRID grid.430506.4, ISNI 0000 0004 0465 4079, NIHR Southampton Biomedical Research Center, , University Hospitals Southampton, ; Southampton, UK
                Article
                1540
                10.1186/s13148-023-01540-7
                10469907
                37649101
                01429108-3fb2-44b9-a0e9-a428dfe3bbac
                © BioMed Central Ltd., part of Springer Nature 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 10 March 2023
                : 24 July 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100005416, Norges Forskningsråd;
                Award ID: 274767, 214123, 228174, 230827 and 273838
                Award ID: 274767, 214123, 228174, 230827 and 273838
                Award ID: 274767, 214123, 228174, 230827 and 273838
                Award ID: 274767, 214123, 228174, 230827 and 273838
                Award ID: 274767, 214123, 228174, 230827 and 273838
                Award ID: 274767, 214123, 228174, 230827 and 273838
                Award ID: 274767, 214123, 228174, 230827 and 273838
                Award ID: 274767, 214123, 228174, 230827 and 273838
                Award ID: 274767, 214123, 228174, 230827 and 273838
                Award ID: 274767, 214123, 228174, 230827 and 273838
                Award ID: 274767, 214123, 228174, 230827 and 273838
                Award Recipient :
                Funded by: Western Norwegian Regional Health Authorities
                Award ID: 912011, 911892 and 911631
                Award ID: 912011, 911892 and 911631
                Award ID: 912011, 911892 and 911631
                Award ID: 912011, 911892 and 911631
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100018693, HORIZON EUROPE Framework Programme;
                Award ID: 633212
                Award ID: 633212
                Award ID: 633212
                Award ID: 633212
                Award ID: 633212
                Award Recipient :
                Funded by: Swedish Heart and Lung Foundation
                Funded by: Swedish Asthma and Allergy Association
                Funded by: University of Iceland
                Funded by: FundRef http://dx.doi.org/10.13039/501100000925, National Health and Medical Research Council;
                Award ID: 299901 and 1021275
                Award ID: 299901 and 1021275
                Award Recipient :
                Funded by: Sociedad Española de Patología Respiratoria (SEPAR) Fondo de Investigación Sanitaria
                Award ID: FIS PS09
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000925, John Templeton Foundation;
                Award ID: 60828
                Award ID: 60828
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000265, Medical Research Council;
                Award ID: MC_UU_12013/2, CLOSER
                Award ID: MC_UU_12013/2, CLOSER
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000269, Economic and Social Research Council;
                Award ID: CLOSER
                Award ID: CLOSER
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100019180, HORIZON EUROPE European Research Council;
                Award ID: #804199
                Award ID: #804199
                Award Recipient :
                Funded by: The Danish Wood Foundation
                Award ID: 444508795
                Award Recipient :
                Funded by: Danish Working Environment Authority
                Award ID: 20150067134
                Award Recipient :
                Funded by: Aarhus University
                Funded by: Worldwide University Network
                Funded by: Norwegian Labour Inspection
                Funded by: Norwegian Asthma and Allergy Association
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2023

                Genetics
                preconception,paternal effects,tobacco smoke,epigenetic,epigenome-wide association study,dna methylation,rhinessa

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