Evidence map›Paper›PMID 21102529›Full record

ArticleNature reviews. Genetics2011

Statistical interaction in human genetics: how should we model it if we are looking for biological interaction?

Xuefeng Wang, Robert C Elston, Xiaofeng Zhu

Abstract readCommentLetter
In one paragraph

Article in Nature reviews. Genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Quantifying Treatment Benefit in Molecular Subgroups to Assess a Predictive Biomarker.Clinical cancer research : an official journal of the American Association for Cancer Research · 2016
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Genetic terminology.Methods in molecular biology (Clifton, N.J.) · 2012
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Xuefeng Wang
Robert C Elston
Xiaofeng Zhu

Funding

Statistical methods for analyzing high-throughput genotype dataR01HG003054 · NHGRI · LOYOLA UNIVERSITY CHICAGO · PI ZHU, XIAOFENG · 2005 to 2017
$3.6M
NHGRI NIH HHS R01 HG003054
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

GenesGenetics, MedicalModels, GeneticData Interpretation, StatisticalHumans

Identifiers

PMID21102529
PMCPMC5189671

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.