Evidence map›Paper›PMID 20399638›Full record

ReviewCurrent opinion in structural biology2010

Human allelic variation: perspective from protein function, structure, and evolution.

Daniel M Jordan, Vasily E Ramensky, Shamil R Sunyaev

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Establishing the precise evolutionary history of a gene improves prediction of disease-causing missense mutations.Genetics in medicine : official journal of the American College of Medical Genetics · 2016
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Tug-of-war between driver and passenger mutations in cancer and other adaptive processes.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  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.

Daniel M JordanDivision of Genetics, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA.
Vasily E Ramensky
Shamil R Sunyaev

Funding

New Methods and Enhanced Software for Predicting Functional SNPsR01GM078598 · NIGMS · BRIGHAM AND WOMEN'S HOSPITAL · PI SUNYAEV, SHAMIL · 2007 to 2017
$3.5M
Statistical Methods for the Design and Interpretation of Deep Resequencing StudieR01MH084676 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI SUNYAEV, SHAMIL · 2008 to 2010
$1.7M
NIGMS NIH HHS R01 GM078598NIGMS NIH HHS R01GM078598NIMH NIH HHS R01 MH084676NIMH NIH HHS R01MH084676
6 · The paper itself

Abstract

It is widely anticipated that the coming year will be marked by the complete characterization of DNA sequence of protein-coding regions of thousands of human individuals. A number of existing computational methods use comparative protein sequence analysis and analysis of protein structure to predict the functional effect of coding human alleles. Functional and structural analysis of coding allelic variants can inform various aspects of research on human genetic variation. In population and evolutionary genetics it helps estimate the strength of purifying selection against deleterious missense mutations and study the imprint of demographic history on deleterious genetic variation. In medical genetics it may assist in the interpretation of uncharacterized mutations in genes involved in monogenic and oligogenic diseases. It has a potential to facilitate medical sequencing studies searching for genes underlying Mendelian diseases or harboring rare alleles involved in complex traits.

Indexed as

AllelesEvolution, MolecularAnimalsArtificial IntelligenceHumansMedicinePhylogenyProteinsProteins

Identifiers

PMID20399638
PMCPMC2921592

What OpenQuestion holds

Textmetadata
LicenceTDM
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.