Evidence map›Paper›PMID 41572586›Full record

ArticleStatistics in medicine2026

A Functional Approach to Testing Overall Effect of Interaction Between DNA Methylation and SNPs.

Yvelin Gansou, Karim Oualkacha, Marzia Angela Cremona, Lajmi Lakhal-Chaieb

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Statistics in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Yvelin GansouDépartement de mathématiques et de statistique, Université Laval, Québec, Canada.
Karim OualkachaDépartement de mathématiques, Université du Québec à Montréal, Montréal, Canada.ORCID https://orcid.org/0000-0002-9911-079X
Marzia Angela CremonaChair in Statistical Learning and Département d'opérations et systèmes de décision, Université Laval, Québec, Canada.ORCID https://orcid.org/0000-0001-8899-7316
Lajmi Lakhal-ChaiebDépartement de mathématiques et de statistique, Université Laval, Québec, Canada.ORCID https://orcid.org/0000-0002-8358-4392

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We introduce a test for the overall effect of interaction between DNA methylation and a set of single nucleotide polymorphisms on a quantitative phenotype. The developed inference procedure is based on a functional approach that extend existing regression models in functional data analysis. Through extensive simulations, we show that the proposed test effectively controls type I error rates and highlights increased empirical power over existing methods, particularly when multiple interactions are present. The use of the proposed test is illustrated with an application to data from obesity patients and controls.

Indexed as

DNA MethylationPolymorphism, Single NucleotideComputer SimulationHumansModels, StatisticalObesityPhenotypeRegression AnalysisDNA methylationfunctional regressioninteractionSNPs

Identifiers

PMID41572586
PMCPMC12828112

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.