Evidence map›Paper›PMID 26351682›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Can the impact of human genetic variations be predicted?

Yuval Itan, Jean-Laurent Casanova

Abstract readComment
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Whole-exome sequencing to analyze population structure, parental inbreeding, and familial linkage.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Trial
  2. Article
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  8. Myofibrillar myopathy in the genomic context.Journal of applied genetics · 2018
    Review
  9. Review
  10. Article
  11. Article
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  15. Article
  16. Exome and genome sequencing for inborn errors of immunity.The Journal of allergy and clinical immunology · 2016
    Review
  17. Article
  18. The human gene damage index as a gene-level approach to prioritizing exome variants.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Yuval ItanSt. Giles Laboratory of Human Genetics of Infectious Diseases, The Rockefeller University, New York, NY 10065; yitan@rockefeller.edu casanova@rockefeller.edu.
Jean-Laurent CasanovaSt. Giles Laboratory of Human Genetics of Infectious Diseases, The Rockefeller University, New York, NY 10065; Howard Hughes Medical Institute, New York, NY yitan@rockefeller.edu casanova@rockefeller.edu.

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Mutation, MissenseAnimalsHumans

Identifiers

PMID26351682
PMCPMC4577181

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.