Evidence map›Paper›PMID 14613976›Full record

ArticleGenome research2003

Nucleotide frequency variation across human genes.

Elizabeth Louie, Jurg Ott, Jacek Majewski

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

51 citing papers in PubMed, 109 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. CSB-independent, XPC-dependent transcription-coupled repair inProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  6. Review
  7. Nucleotide spacing distribution analysis for human genome.Mammalian genome : official journal of the International Mammalian Genome Society · 2021
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. DNA methylation and DNA methyltransferases.Epigenetics & chromatin · 2017
    Review
  14. Article
  15. Article
  16. Article
  17. Notes on the role of dynamic DNA methylation in mammalian development.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Review
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Elizabeth LouieThe Rockefeller University, New York, New York 10021, USA.
Jurg Ott
Jacek Majewski
Rockefeller University · US

Funding

LINKAGE ANALYSIS METHODS FOR HUMAN GENE MAPPINGR01HG000008 · NHGRI · ROCKEFELLER UNIVERSITY · PI OTT, JURG · 1990 to 2004
$1.2M
NHGRI NIH HHS HG00008NHGRI NIH HHS R01 HG000008
6 · The paper itself

Abstract

The frequencies of individual nucleotides exhibit significant fluctuations across eukaryotic genes. In this paper, we investigate nucleotide variation across an averaged representation of all known human genes. Such a representation allows us to average out random fluctuations that constitute noise and uncover remarkable systematic trends in nucleotide distributions, particularly near boundaries between genetic elements--the promoter, exons, and introns. We propose that such variations result from differential mutational pressures and from the presence of specific regulatory motifs, such as transcription and splicing factor binding sites. Specifically, we observe significant GC and TA biases (excess of G over C and T over A) in noncoding regions of genes. Such biases are most probably caused by transcription-coupled mismatch repair, an effect that has recently been detected in mammalian genes. Subsequently, we examine the distribution of all hexanucleotides and identify motifs that are overrepresented within regulatory regions. By clustering and aligning such sequences, we recognize families of putative regulatory elements involved in exonic and intronic splicing control, and 3' mRNA processing. Some of our motifs have been identified in prior theoretical and experimental studies, thus validating our approach, but we detect several novel sequences that we propose as candidates for future functional assays and mutation screens for genetic disorders.

Indexed as

GenesGenetic VariationAT Rich SequenceBase CompositionComputational BiologyExonsGC Rich SequenceHumansIntronsNucleotidesNucleotides

Identifiers

PMID14613976
PMCPMC403801
OpenAlexW2154628824

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.