IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0000622.html
   My bibliography  Save this article

Sequence Polymorphisms Cause Many False cis eQTLs

Author

Listed:
  • Rudi Alberts
  • Peter Terpstra
  • Yang Li
  • Rainer Breitling
  • Jan-Peter Nap
  • Ritsert C Jansen

Abstract

Many investigations have reported the successful mapping of quantitative trait loci (QTLs) for gene expression phenotypes (eQTLs). Local eQTLs, where expression phenotypes map to the genes themselves, are of especially great interest, because they are direct candidates for previously mapped physiological QTLs. Here we show that many mapped local eQTLs in genetical genomics experiments do not reflect actual expression differences caused by sequence polymorphisms in cis-acting factors changing mRNA levels. Instead they indicate hybridization differences caused by sequence polymorphisms in the mRNA region that is targeted by the microarray probes. Many such polymorphisms can be detected by a sensitive and novel statistical approach that takes the individual probe signals into account. Applying this approach to recent mouse and human eQTL data, we demonstrate that indeed many local eQTLs are falsely reported as “cis-acting” or “cis” and can be successfully detected and eliminated with this approach.

Suggested Citation

  • Rudi Alberts & Peter Terpstra & Yang Li & Rainer Breitling & Jan-Peter Nap & Ritsert C Jansen, 2007. "Sequence Polymorphisms Cause Many False cis eQTLs," PLOS ONE, Public Library of Science, vol. 2(7), pages 1-5, July.
  • Handle: RePEc:plo:pone00:0000622
    DOI: 10.1371/journal.pone.0000622
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0000622
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0000622&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0000622?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. Vivian G. Cheung & Richard S. Spielman & Kathryn G. Ewens & Teresa M. Weber & Michael Morley & Joshua T. Burdick, 2005. "Mapping determinants of human gene expression by regional and genome-wide association," Nature, Nature, vol. 437(7063), pages 1365-1369, October.
    Full references (including those not matched with items on IDEAS)

    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. Yixin Fang & Yang Feng & Ming Yuan, 2014. "Regularized principal components of heritability," Computational Statistics, Springer, vol. 29(3), pages 455-465, June.
    2. 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.
    3. 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.
    4. 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.
    5. Ning Jiang & Minghui Wang & Tianye Jia & Lin Wang & Lindsey Leach & Christine Hackett & David Marshall & Zewei Luo, 2011. "A Robust Statistical Method for Association-Based eQTL Analysis," PLOS ONE, Public Library of Science, vol. 6(8), pages 1-11, August.
    6. Paul C Boutros & Ivy D Moffat & Allan B Okey & Raimo Pohjanvirta, 2011. "mRNA Levels in Control Rat Liver Display Strain-Specific, Hereditary, and AHR-Dependent Components," PLOS ONE, Public Library of Science, vol. 6(7), pages 1-15, July.
    7. Jae Hoon Sul & Buhm Han & Chun Ye & Ted Choi & Eleazar Eskin, 2013. "Effectively Identifying eQTLs from Multiple Tissues by Combining Mixed Model and Meta-analytic Approaches," PLOS Genetics, Public Library of Science, vol. 9(6), pages 1-13, June.
    8. Hui-Min Wang & Ching-Lin Hsiao & Ai-Ru Hsieh & Ying-Chao Lin & Cathy S J Fann, 2012. "Constructing Endophenotypes of Complex Diseases Using Non-Negative Matrix Factorization and Adjusted Rand Index," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-12, July.
    9. Heather E Wheeler & Kaanan P Shah & Jonathon Brenner & Tzintzuni Garcia & Keston Aquino-Michaels & GTEx Consortium & Nancy J Cox & Dan L Nicolae & Hae Kyung Im, 2016. "Survey of the Heritability and Sparse Architecture of Gene Expression Traits across Human Tissues," PLOS Genetics, Public Library of Science, vol. 12(11), pages 1-23, November.
    10. Josine L Min & Jennifer M Taylor & J Brent Richards & Tim Watts & Fredrik H Pettersson & John Broxholme & Kourosh R Ahmadi & Gabriela L Surdulescu & Ernesto Lowy & Christian Gieger & Chris Newton-Cheh, 2011. "The Use of Genome-Wide eQTL Associations in Lymphoblastoid Cell Lines to Identify Novel Genetic Pathways Involved in Complex Traits," PLOS ONE, Public Library of Science, vol. 6(7), pages 1-14, July.
    11. Alexandra C Nica & Leopold Parts & Daniel Glass & James Nisbet & Amy Barrett & Magdalena Sekowska & Mary Travers & Simon Potter & Elin Grundberg & Kerrin Small & Åsa K Hedman & Veronique Bataille & Jo, 2011. "The Architecture of Gene Regulatory Variation across Multiple Human Tissues: The MuTHER Study," PLOS Genetics, Public Library of Science, vol. 7(2), pages 1-9, February.
    12. David M Evans & Marie Jo A Brion & Lavinia Paternoster & John P Kemp & George McMahon & Marcus Munafò & John B Whitfield & Sarah E Medland & Grant W Montgomery & The GIANT consortium & The CRP consort, 2013. "Mining the Human Phenome Using Allelic Scores That Index Biological Intermediates," PLOS Genetics, Public Library of Science, vol. 9(10), pages 1-15, October.
    13. Daria V Zhernakova & Eleonora de Klerk & Harm-Jan Westra & Anastasios Mastrokolias & Shoaib Amini & Yavuz Ariyurek & Rick Jansen & Brenda W Penninx & Jouke J Hottenga & Gonneke Willemsen & Eco J de Ge, 2013. "DeepSAGE Reveals Genetic Variants Associated with Alternative Polyadenylation and Expression of Coding and Non-coding Transcripts," PLOS Genetics, Public Library of Science, vol. 9(6), pages 1-15, June.

    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:pone00:0000622. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.