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PMID: 24753594 Published · ppublish English Journal Article Review

Defining functional DNA elements in the human genome.

Kellis M, Wold B, Snyder MP, Bernstein BE, Kundaje A, Marinov GK, Ward LD, Birney E, Crawford GE, Dekker J, Dunham I, Elnitski LL, Farnham PJ, Feingold EA, Gerstein M, Giddings MC, Gilbert DM, Gingeras TR, Green ED, Guigo R, Hubbard T, Kent J, Lieb JD, Myers RM, Pazin MJ, Ren B, Stamatoyannopoulos JA, Weng Z, White KP, Hardison RC

Abstract

With the completion of the human genome sequence, attention turned to identifying and annotating its functional DNA elements. As a complement to genetic and comparative genomics approaches, the Encyclopedia of DNA Elements Project was launched to contribute maps of RNA transcripts, transcriptional regulator binding sites, and chromatin states in many cell types. The resulting genome-wide data reveal sites of biochemical activity with high positional resolution and cell type specificity that facilitate studies of gene regulation and interpretation of noncoding variants associated with human disease. However, the biochemically active regions cover a much larger fraction of the genome than do evolutionarily conserved regions, raising the question of whether nonconserved but biochemically active regions are truly functional. Here, we review the strengths and limitations of biochemical, evolutionary, and genetic approaches for defining functional DNA segments, potential sources for the observed differences in estimated genomic coverage, and the biological implications of these discrepancies. We also analyze the relationship between signal intensity, genomic coverage, and evolutionary conservation. Our results reinforce the principle that each approach provides complementary information and that we need to use combinations of all three to elucidate genome function in human biology and disease.

MeSH Terms
Biological Evolution DNA/genetics Disease/genetics Genome, Human/genetics Humans Regulatory Sequences, Nucleic Acid/genetics Software
Chemicals
DNA
Authors & Affiliations
30 authors, click to expand affiliations / ORCID
Kellis Manolis
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139.
Wold Barbara
Snyder Michael P
Bernstein Bradley E
Kundaje Anshul
Marinov Georgi K
Ward Lucas D
Birney Ewan
Crawford Gregory E
Dekker Job
Dunham Ian
Elnitski Laura L
Farnham Peggy J
Feingold Elise A
Gerstein Mark
Giddings Morgan C
Gilbert David M
Gingeras Thomas R
Green Eric D
Guigo Roderic
Hubbard Tim
Kent Jim
Lieb Jason D
Myers Richard M
Pazin Michael J
Ren Bing
Stamatoyannopoulos John A
Weng Zhiping
White Kevin P
Hardison Ross C
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Article Info
Journal
Proceedings of the National Academy of Sciences of the United States of America
Abbr.
Proc Natl Acad Sci U S A
ISSN
1091-6490
Published
2014-04-29
Epub
2014-00-21
Pages
6131-8
Language
English
Region
United States
NLM ID
7505876
PMCID
PMC4035993
Subset
IM
Grants
NHGRI NIH HHS · U54 HG006996 · United States
NHGRI NIH HHS · R01 HG004037 · United States
NHGRI NIH HHS · R01 HG003143 · United States
NHGRI NIH HHS · U41 HG007234 · United States
NCI NIH HHS · P30 CA008748 · United States
NIA NIH HHS · R01 AG016379 · United States
NCI NIH HHS · P30 CA045508 · United States
NHGRI NIH HHS · U54 HG006997 · United States
NIGMS NIH HHS · R01 GM083337 · United States
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