Evidence map›Paper›PMID 24983251›Full record

ArticleTwin research and human genetics : the official journal of the International Society for Twin Studies2014

Epi2Loc: an R package to investigate two-locus epistatic models.

Raymond K Walters, Charles Laurin, Gitta H Lubke

Abstract read
In one paragraph

Article in Twin research and human genetics : the official journal of the International Society for Twin Studies, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Raymond K WaltersDepartment of Psychology,University of Notre Dame,Notre Dame,IN,USA.
Charles LaurinDepartment of Psychology,University of Notre Dame,Notre Dame,IN,USA.
Gitta H LubkeDepartment of Psychology,University of Notre Dame,Notre Dame,IN,USA.

Funding

Psychometric and Genetic Assessments of Substance UseR37DA018673 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2005 to 2014
$3.7M
NIDA NIH HHS R37 DA018673NIDA NIH HHS R37DA01873
6 · The paper itself

Abstract

Epistasis is a growing area of research in genome-wide studies, but the differences between alternative definitions of epistasis remain a source of confusion for many researchers. One problem is that models for epistasis are presented in a number of formats, some of which have difficult-to-interpret parameters. In addition, the relation between the different models is rarely explained. Existing software for testing epistatic interactions between single-nucleotide polymorphisms (SNPs) does not provide the flexibility to compare the available model parameterizations. For that reason we have developed an R package for investigating epistatic and penetrance models, Epi2Loc, to aid users who wish to easily compare, interpret, and utilize models for two-locus epistatic interactions. Epi2Loc facilitates research on SNP-SNP interactions by allowing the R user to easily convert between common parametric forms for two-locus interactions, generate data for simulation studies, and perform power analyses for the selected model with a continuous or dichotomous phenotype. The usefulness of the package for model interpretation and power analysis is illustrated using data on rheumatoid arthritis.

Indexed as

Epistasis, GeneticModels, GeneticSoftwareArthritis, RheumatoidHumansPenetrancePolymorphism, Single Nucleotide

Identifiers

PMID24983251
PMCPMC10696778

What OpenQuestion holds

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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.