Evidence map›Paper›PMID 22990389›Full record

ReviewHuman molecular genetics2012

Inferring causality and functional significance of human coding DNA variants.

Shamil R Sunyaev

Abstract readReview
In one paragraph

Review in Human molecular genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. 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
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. A Molecular Evolutionary Reference for the Human Variome.Molecular biology and evolution · 2016
    Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. The implications of familial incidental findings from exome sequencing: the NIH Undiagnosed Diseases Program experience.Genetics in medicine : official journal of the American College of Medical Genetics · 2014
    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

1 author.

Shamil R SunyaevGenetics Division, Brigham and Women's Hospital, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA. ssunyaev@rics.bwh.harvard.edu

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 R01MH084676
6 · The paper itself

Abstract

Sequencing technology enables the complete characterization of human genetic variation. Statistical genetics studies identify numerous loci linked to or associated with phenotypes of direct medical interest. The major remaining challenge is to characterize functionally significant alleles that are causally implicated in the genetic basis of human traits. Here, I review three sources of evidence for the functional significance of human DNA variants in protein-coding genes. These include (i) statistical genetics considerations such as co-segregation with the phenotype, allele frequency in unaffected controls and recurrence; (ii) in vitro functional assays and model organism experiments; and (iii) computational methods for predicting the functional effect of amino acid substitutions. In spite of many successes of recent studies, functional characterization of human allelic variants remains problematic.

Indexed as

Genetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyAllelesAmino Acid SubstitutionDNAExomeGene FrequencyHumansMutation, MissensePhenotypeSequence Analysis, DNADNA

Identifiers

PMID22990389
PMCPMC3459643

What OpenQuestion holds

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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.