IDEAS home Printed from https://ideas.repec.org/a/plo/pgen00/0030081.html
   My bibliography  Save this article

Allele-Specific Chromatin Immunoprecipitation Studies Show Genetic Influence on Chromatin State in Human Genome

Author

Listed:
  • Mitsutaka Kadota
  • Howard H Yang
  • Nan Hu
  • Chaoyu Wang
  • Ying Hu
  • Philip R Taylor
  • Kenneth H Buetow
  • Maxwell P Lee

Abstract

Several recent studies have shown a genetic influence on gene expression variation, including variation between the two chromosomes within an individual and variation between individuals at the population level. We hypothesized that genetic inheritance may also affect variation in chromatin states. To test this hypothesis, we analyzed chromatin states in 12 lymphoblastoid cells derived from two Centre d'Etude du Polymorphisme Humain families using an allele-specific chromatin immunoprecipitation (ChIP-on-chip) assay with Affymetrix 10K SNP chip. We performed the allele-specific ChIP-on-chip assays for the 12 lymphoblastoid cells using antibodies targeting at RNA polymerase II and five post-translation modified forms of the histone H3 protein. The use of multiple cell lines from the Centre d'Etude du Polymorphisme Humain families allowed us to evaluate variation of chromatin states across pedigrees. These studies demonstrated that chromatin state clustered by family. Our results support the idea that genetic inheritance can determine the epigenetic state of the chromatin as shown previously in model organisms. To our knowledge, this is the first demonstration in humans that genetics may be an important factor that influences global chromatin state mediated by histone modification, the hallmark of the epigenetic phenomena.: Human health and disease are determined by an interaction between genetic background and environmental exposures. Both normal development and disease are mediated by epigenetic regulation of gene expression. The epigenetic regulation causes heritable changes in gene expression, which is not associated with DNA sequence changes. Instead, it is mediated by chemical modification of DNA such as DNA methylation or by protein modifications such as histone acetylation and methylation. Although much has been known about epigenetic inheritance during development, little is known about the influence of the genetic background on epigenetic processes such as histone modifications. In this report the authors studied five histone modifications on a genome-wide level in cells from different families. Global epigenetic states, as measured by these histone modifications, showed a similar pattern for cells derived from the same family. This study demonstrates that genetic inheritance may be an important factor influencing global chromatin states mediated by histone modifications in humans. These observations illustrate the importance of integrating genetic and epigenetic information into studies of human health and complex diseases.

Suggested Citation

  • Mitsutaka Kadota & Howard H Yang & Nan Hu & Chaoyu Wang & Ying Hu & Philip R Taylor & Kenneth H Buetow & Maxwell P Lee, 2007. "Allele-Specific Chromatin Immunoprecipitation Studies Show Genetic Influence on Chromatin State in Human Genome," PLOS Genetics, Public Library of Science, vol. 3(5), pages 1-11, May.
  • Handle: RePEc:plo:pgen00:0030081
    DOI: 10.1371/journal.pgen.0030081
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.0030081
    Download Restriction: no

    File URL: https://journals.plos.org/plosgenetics/article/file?id=10.1371/journal.pgen.0030081&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pgen.0030081?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Michael Levine & Robert Tjian, 2003. "Transcription regulation and animal diversity," Nature, Nature, vol. 424(6945), pages 147-151, July.
    2. Michael Morley & Cliona M. Molony & Teresa M. Weber & James L. Devlin & Kathryn G. Ewens & Richard S. Spielman & Vivian G. Cheung, 2004. "Genetic analysis of genome-wide variation in human gene expression," Nature, Nature, vol. 430(7001), pages 743-747, August.
    3. Minoo Rassoulzadegan & Valérie Grandjean & Pierre Gounon & Stéphane Vincent & Isabelle Gillot & François Cuzin, 2006. "RNA-mediated non-mendelian inheritance of an epigenetic change in the mouse," Nature, Nature, vol. 441(7092), pages 469-474, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Howard H Yang & Nan Hu & Chaoyu Wang & Ti Ding & Barbara K Dunn & Alisa M Goldstein & Philip R Taylor & Maxwell P Lee, 2010. "Influence of Genetic Background and Tissue Types on Global DNA Methylation Patterns," PLOS ONE, Public Library of Science, vol. 5(2), pages 1-8, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Julia Schröder & Vitalia Schüller & Andrea May & Christian Gerges & Mario Anders & Jessica Becker & Timo Hess & Nicole Kreuser & René Thieme & Kerstin U Ludwig & Tania Noder & Marino Venerito & Lothar, 2019. "Identification of loci of functional relevance to Barrett’s esophagus and esophageal adenocarcinoma: Cross-referencing of expression quantitative trait loci data from disease-relevant tissues with gen," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-12, December.
    2. Bo Jiang & Jun S. Liu, 2015. "Bayesian Partition Models for Identifying Expression Quantitative Trait Loci," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1350-1361, December.
    3. Buki Kwon & Mervin M. Fansler & Neil D. Patel & Jihye Lee & Weirui Ma & Christine Mayr, 2022. "Enhancers regulate 3′ end processing activity to control expression of alternative 3′UTR isoforms," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    4. Yixin Fang & Yang Feng & Ming Yuan, 2014. "Regularized principal components of heritability," Computational Statistics, Springer, vol. 29(3), pages 455-465, June.
    5. Witten Daniela M & Tibshirani Robert J., 2009. "Extensions of Sparse Canonical Correlation Analysis with Applications to Genomic Data," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 8(1), pages 1-27, June.
    6. Erik Andrews & Yue Wang & Tian Xia & Wenqing Cheng & Chao Cheng, 2017. "Contextual Refinement of Regulatory Targets Reveals Effects on Breast Cancer Prognosis of the Regulome," PLOS Computational Biology, Public Library of Science, vol. 13(1), pages 1-20, January.
    7. Armita Nourmohammad & Michael Lässig, 2011. "Formation of Regulatory Modules by Local Sequence Duplication," PLOS Computational Biology, Public Library of Science, vol. 7(10), pages 1-12, October.
    8. Lingxue Zhang & Seyoung Kim, 2014. "Learning Gene Networks under SNP Perturbations Using eQTL Datasets," PLOS Computational Biology, Public Library of Science, vol. 10(2), pages 1-20, February.
    9. Cipolli III, William & Hanson, Timothy & McLain, Alexander C., 2016. "Bayesian nonparametric multiple testing," Computational Statistics & Data Analysis, Elsevier, vol. 101(C), pages 64-79.
    10. Barbara E Stranger & Stephen B Montgomery & Antigone S Dimas & Leopold Parts & Oliver Stegle & Catherine E Ingle & Magda Sekowska & George Davey Smith & David Evans & Maria Gutierrez-Arcelus & Alkes P, 2012. "Patterns of Cis Regulatory Variation in Diverse Human Populations," PLOS Genetics, Public Library of Science, vol. 8(4), pages 1-13, April.
    11. Eric R Gamazon & Hae-Kyung Im & Shiwei Duan & Yves A Lussier & Nancy J Cox & M Eileen Dolan & Wei Zhang, 2010. "ExprTarget: An Integrative Approach to Predicting Human MicroRNA Targets," PLOS ONE, Public Library of Science, vol. 5(10), pages 1-8, October.
    12. Ryan Abo & Gregory D Jenkins & Liewei Wang & Brooke L Fridley, 2012. "Identifying the Genetic Variation of Gene Expression Using Gene Sets: Application of Novel Gene Set eQTL Approach to PharmGKB and KEGG," PLOS ONE, Public Library of Science, vol. 7(8), pages 1-11, August.
    13. Oualkacha Karim & Labbe Aurelie & Ciampi Antonio & Roy Marc-Andre & Maziade Michel, 2012. "Principal Components of Heritability for High Dimension Quantitative Traits and General Pedigrees," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 11(2), pages 1-27, January.
    14. Enrico Petretto & Leonardo Bottolo & Sarah R Langley & Matthias Heinig & Chris McDermott-Roe & Rizwan Sarwar & Michal Pravenec & Norbert Hübner & Timothy J Aitman & Stuart A Cook & Sylvia Richardson, 2010. "New Insights into the Genetic Control of Gene Expression using a Bayesian Multi-tissue Approach," PLOS Computational Biology, Public Library of Science, vol. 6(4), pages 1-13, April.
    15. Bergersen Linn Cecilie & Glad Ingrid K. & Lyng Heidi, 2011. "Weighted Lasso with Data Integration," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 10(1), pages 1-29, August.
    16. Kirsten H ten Tusscher & Paulien Hogeweg, 2011. "Evolution of Networks for Body Plan Patterning; Interplay of Modularity, Robustness and Evolvability," PLOS Computational Biology, Public Library of Science, vol. 7(10), pages 1-16, October.
    17. Jin Hyun Ju & Sushila A Shenoy & Ronald G Crystal & Jason G Mezey, 2017. "An independent component analysis confounding factor correction framework for identifying broad impact expression quantitative trait loci," PLOS Computational Biology, Public Library of Science, vol. 13(5), pages 1-26, May.
    18. Parkhomenko Elena & Tritchler David & Beyene Joseph, 2009. "Sparse Canonical Correlation Analysis with Application to Genomic Data Integration," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 8(1), pages 1-34, January.
    19. Timothy H-C Hsiau & Claudiu Diaconu & Connie A Myers & Jongwoo Lee & Constance L Cepko & Joseph C Corbo, 2007. "The Cis-regulatory Logic of the Mammalian Photoreceptor Transcriptional Network," PLOS ONE, Public Library of Science, vol. 2(7), pages 1-16, July.
    20. Leopold Parts & Oliver Stegle & John Winn & Richard Durbin, 2011. "Joint Genetic Analysis of Gene Expression Data with Inferred Cellular Phenotypes," PLOS Genetics, Public Library of Science, vol. 7(1), pages 1-10, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pgen00:0030081. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosgenetics (email available below). General contact details of provider: https://journals.plos.org/plosgenetics/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.