Evidence map›Paper›PMID 41560457›Full record

ArticleGenetic epidemiology2026

MELODY: Mediation Analysis in Logistic Regression for High-Dimensional Mediators and a Binary Outcome.

Sunyi Chi, Xingyu Li, Peng Wei, Xuelin Huang

Abstract read
In one paragraph

Article in Genetic epidemiology, 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

5 · Who and what money

Authors and funding

4 authors.

Sunyi ChiDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Xingyu LiDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID https://orcid.org/0000-0001-7813-2511
Peng WeiDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID https://orcid.org/0000-0001-7758-6116
Xuelin HuangDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID https://orcid.org/0000-0003-1192-9336

Funding

University of Texas M.D. Anderson Cancer SPORE-LeukemiaP50CA100632 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI KONOPLEVA, MARINA Y · 2003 to 2023
$43.7M
UPR/MDACC Partnership for Excellence in Cancer Research (Luis Segarra supplement)U54CA096300 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SHARON Hermes GIORDANO, Paul A Scheet · 2002 to 2026
$23.8M
The University of Texas MD Anderson Cancer Center SPORE in Hepatocellular CarcinomaP50CA217674 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI YAO, JAMES C · 2019 to 2023
$11.3M
Comparative Modeling: Informing Breast Cancer Control Practice & PolicyU01CA152958 · NCI · GEORGETOWN UNIVERSITY · PI BERRY, DONALD A, DE KONING, HARRY J · 2010 to 2015
$7.6M
Project 3: Identifying Molecular Vulnerabilities to Improve Interferon Gene Therapy in Bladder CancerP01CA296429 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Peng Wei · 2025 to 2026
$6.1M
Association analysis of rare variants with sequencing dataR01HL116720 · NHLBI · UNIVERSITY OF MINNESOTA · PI PAN, WEI, WEI, PENG · 2013 to 2020
$3.3M
Optimizing treatment decision by accounting for longitudinal biomarker trajectories and competing risks of each individualR01CA272806 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Xuelin Huang · 2023 to 2026
$1.5M
High-dimensional Mediation Analysis of Cardiovascular Traits with Multi-omics DataR21HL170213 · NHLBI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WEI, PENG · 2024 to 2025
$243k
Cancer Prevention and Research Institute of Texas (CPRIT) RP230166National Institutes of Health (NIH) P01CA296429National Institutes of Health (NIH) P50CA100632National Institutes of Health (NIH) P50CA217674National Institutes of Health (NIH) R01CA272806National Institutes of Health (NIH) R01HL116720National Institutes of Health (NIH) R21HL170213National Institutes of Health (NIH) U01CA152958National Institutes of Health (NIH) U54CA096300NCI NIH HHS P01 CA296429NCI NIH HHS P50 CA100632NCI NIH HHS P50 CA217674NCI NIH HHS R01 CA272806NCI NIH HHS U01 CA152958NCI NIH HHS U54 CA096300NHLBI NIH HHS R01 HL116720NHLBI NIH HHS R21 HL170213
6 · The paper itself

Abstract

Mediation analysis is a pivotal tool for elucidating the indirect effect of an environmental factor or treatment on disease through potentially high-dimensional omics data, such as gene expression profiles. However, traditional mediation analysis methods tailored for binary outcomes often rely on the rare disease assumption in logistic regression and provide inadequate measures of total mediation effect when multiple mediators have effects in different directions. In this paper, we develop a MEdiation analysis framework in LOgistic regression for high-Dimensional mediators and a binarY outcome (MELODY). It leverages a second-moment-based measure analogous to the

Indexed as

Mediation AnalysisComputer SimulationCoronary DiseaseFemaleGene Expression ProfilingHumansLogistic ModelsMetabolomicsbinary outcomehigh‐dimensional mediatorsmediation analysismetabolomicstotal mediation effecttranscriptomics

Identifiers

PMID41560457
PMCPMC12820538

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.