We agree with Brunet and Doolittle (1) on the utility of distinguishing the evolutionarily selected effects (SE) of some genomic elements from the causal roles (CR) of other elements that lack signatures of selection (14). DNA sequences identified by biochemical approaches include both SE and CR elements, and genetic variation in both has been implicated in human traits and disease susceptibility. We thus view the Encyclopedia of DNA Elements (ENCODE) catalog and similar data resources as important foundations for understanding the DNA elements and molecular mechanisms underlying human biology and disease.

References

1
TDP Brunet, WF Doolittle, Getting “function” right. Proc Natl Acad Sci USA 111, E3365 (2014).
2
M Kellis, et al., Defining functional DNA elements in the human genome. Proc Natl Acad Sci USA 111, 6131–6138 (2014).
3
PL Germain, E Ratti, F Boem, Junk or functional DNA? ENCODE and the function controversy. Biol Philos, 2014).
4
WF Doolittle, TDP Brunet, S Linquist, TR Gregory, Distinguishing between “function” and “effect” in genome biology. Genome Biol Evol 6, 1234–1237 (2014).

Information & Authors

Information

Published in

The cover image for PNAS Vol.111; No.33
Proceedings of the National Academy of Sciences
Vol. 111 | No. 33
August 19, 2014
PubMed: 25275169

Classifications

Submission history

Published online: August 8, 2014
Published in issue: August 19, 2014

Authors

Affiliations

Manolis Kellis1 [email protected]
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139;
Broad Institute, Cambridge, MA 02139;
Barbara Wold
Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125;
Michael P. Snyder
Department of Genetics, Stanford University, Stanford, CA 94305;
Bradley E. Bernstein
Broad Institute, Cambridge, MA 02139;
Harvard Medical School and
Massachusetts General Hospital, Boston, MA 02114;
Anshul Kundaje
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139;
Broad Institute, Cambridge, MA 02139;
Department of Genetics, Stanford University, Stanford, CA 94305;
Georgi K. Marinov
Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125;
Lucas D. Ward
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139;
Broad Institute, Cambridge, MA 02139;
Ewan Birney
European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge CB10 1SD, United Kingdom;
Gregory E. Crawford
Medical Genetics, Duke University, Durham, NC 27708;
Job Dekker
Program in Systems Biology, University of Massachusetts Medical School, Worcester, MA 01605;
Ian Dunham
European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge CB10 1SD, United Kingdom;
Laura L. Elnitski
National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892;
Peggy J. Farnham
Biochemistry and Molecular Biology, University of Southern California, Los Angeles, CA 90089;
Elise A. Feingold
National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892;
Mark Gerstein
Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520;
Morgan C. Giddings
Marketing Your Science, LLC, Boise, ID 83702;
David M. Gilbert
Department of Biological Science, Florida State University, Tallahassee, FL 32306;
Thomas R. Gingeras
Functional Genomics Group, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724;
Eric D. Green
National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892;
Roderic Guigo
Bioinformatics and Genomics Program, Center for Genome Regulation, E-08003 Barcelona, Catalonia, Spain;
Tim Hubbard
Medical and Molecular Genetics, King's College London and Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SD, United Kingdom;
Jim Kent
Biomolecular Engineering, University of California, Santa Cruz, CA 95064;
Jason D. Lieb
Department of Human Genetics, University of Chicago, Chicago, IL 60637;
Richard M. Myers
HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806;
Michael J. Pazin
National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892;
Bing Ren
Ludwig Institute for Cancer Research, University of California, San Diego, La Jolla, CA 92093;
John Stamatoyannopoulos
Genome Sciences and Medicine, University of Washington, Seattle, WA 98195; and
Zhiping Weng
Program in Systems Biology, University of Massachusetts Medical School, Worcester, MA 01605;
Kevin P. White
Department of Human Genetics, University of Chicago, Chicago, IL 60637;
Ross C. Hardison1 [email protected]
Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802

Notes

1
To whom correspondence may be addressed. Email: [email protected] or [email protected].
Author contributions: M.K., B.W., M.P.S., B.E.B., and R.C.H. designed research; M.K., B.W., M.P.S., B.E.B., A.K., G.K.M., L.D.W., and R.C.H. performed research; M.K., B.W., M.P.S., B.E.B., A.K., G.K.M., L.D.W., and R.C.H. analyzed data; and M.K., B.W., M.P.S., B.E.B., A.K., G.K.M., L.D.W., E.B., G.E.C., J.D., I.D., L.L.E., P.J.F., E.A.F., M.G., M.C.G., D.M.G., T.R.G., E.D.G., R.G., T.H., J.K., J.D.L., R.M.M., M.J.P., B.R., J.S., Z.W., K.P.W., and R.C.H. wrote the paper.

Competing Interests

The authors declare no conflict of interest.

Metrics & Citations

Metrics

Note: The article usage is presented with a three- to four-day delay and will update daily once available. Due to ths delay, usage data will not appear immediately following publication. Citation information is sourced from Crossref Cited-by service.


Altmetrics




Citations

Export the article citation data by selecting a format from the list below and clicking Export.

Cited by

    Loading...

    View Options

    View options

    PDF format

    Download this article as a PDF file

    DOWNLOAD PDF

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Personal login Institutional Login

    Recommend to a librarian

    Recommend PNAS to a Librarian

    Purchase options

    Purchase this article to access the full text.

    Single Article Purchase

    Reply to Brunet and Doolittle: Both selected effect and causal role elements can influence human biology and disease
    Proceedings of the National Academy of Sciences
    • Vol. 111
    • No. 33
    • pp. 11907-12270

    Figures

    Tables

    Media

    Share

    Share

    Share article link

    Share on social media