Association Analysis of Depression and Asthma

Association Analysis of Depression and Asthma: A Retrospective Cross-Sectional and Mendelian Randomization Study

Main Studies Integrate retrospective studies, observational studies, and Mendelian randomization (MR) study methods to systematically analyze the strength and direction of the association between depression and asthma.

Explore whether a causal relationship exists between depression and asthma, and identify potential confounding factors and effect modifiers.

Secondary Studies Screen for key confounding variables that affect the association between depression and asthma (e.g., age, gender, lifestyle, comorbidities, etc.).

Analyze the correlation between depression and the severity of asthma. Verify the stability of instrumental variables (IVs) and the reliability of causal effects in the MR study.

Key Term Supplementary Explanations Effect modifiers: Factors that alter the strength or direction of the association between an exposure (e.g., depression) and an outcome (e.g., asthma) (e.g., certain genes or medications may modify how depression influences asthma risk).

Instrumental variables (IVs): Genetic variants used in MR studies that are associated with the exposure (e.g., depression-related SNPs) but not directly associated with the outcome (e.g., asthma) except through the exposure, helping to reduce confounding and infer causality.

Study Overview

Status

Not yet recruiting

Conditions

Study Type

Observational

Enrollment (Estimated)

500

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

Retrospective Study: Participants aged ≥ 18 years who had complete medical records (including demographic characteristics, clinical diagnosis, treatment plan, and follow-up records) between January 2015 and December 2020. Individuals with comorbid severe mental illnesses, severe respiratory diseases, severe organ failure, or missing key information in medical records were excluded.

MR Study: Participants of European ancestry, with data sourced from the PGC (Psychiatric Genomics Consortium) major depressive disorder GWAS dataset, and the combined asthma GWAS dataset from UK Biobank and GABRIEL Consortium.

Description

Inclusion Criteria For Retrospective Study

  • Age ≥ 18 years old
  • Complete medical records, including demographic characteristics (age, gender, ethnicity, etc.), clinical diagnosis information (diagnosis time of depression/asthma, diagnostic basis), treatment plans (medication type, dosage), and follow-up records
  • Depression diagnosis conforms to relevant clinical criteria; asthma diagnosis conforms to Guidelines for the Prevention and Treatment of Bronchial Asthma (2020 Edition)

For MR Study (GWAS Data)

  • Data have undergone strict quality control
  • Study participants are of European ancestry (to reduce population stratification bias)
  • Clear division of case group and control group, as well as available sample size information

Exclusion Criteria For Retrospective Study

  • Comorbidity with other severe mental illnesses (e.g., schizophrenia, bipolar affective disorder)
  • Comorbidity with severe respiratory diseases (e.g., chronic obstructive pulmonary disease [COPD], pulmonary fibrosis, lung cancer)
  • Comorbidity with severe organ failure (e.g., heart, liver, or kidney failure)
  • Lack of key information in medical records (e.g., diagnosis time, core symptoms, treatment plan)

For MR Study (IVs Screening)

  • Single nucleotide polymorphisms (SNPs) with an association significance P-value ≥ 5×10-⁸ with the exposure (depression/asthma)
  • SNPs with high linkage disequilibrium (LD, r² ≥ 0.001, distance ≤ 10000 kb)
  • SNPs located in coding regions or those that may affect gene expression regulation (at risk of horizontal pleiotropy)
  • SNPs with an F-statistic < 10 (at risk of weak instrumental variable bias)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Depression Group

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Integrate retrospective studies, observational studies, and Mendelian randomization (MR) methods to systematically analyze the strength of the association between depression and asthma.
Time Frame: November 1, 2025 - October 31, 2026
This study integrates retrospective studies, observational studies and Mendelian randomization (MR) to systematically analyze the association strength between depression and asthma. Retrospective studies provide a basis via Meta-analysis of published data. Prospective observational studies verify conclusions and clarify net association by adjusting confounders. MR infers causal links using GWAS-derived SNPs as instruments, with IVW and tests ensuring reliability. This framework clarifies real association strength and causality, supporting comorbidity research.
November 1, 2025 - October 31, 2026
Explore whether a causal relationship exists between depression and asthma, and identify potential confounding factors.
Time Frame: November 1, 2025 - October 31, 2026
This study aims to explore the potential causal relationship between depression and asthma, while identifying key confounding factors. Retrospective and prospective observational studies help screen confounders like smoking, BMI, and comorbidities. Mendelian randomization uses GWAS-derived SNPs as instruments to mitigate confounding and reverse causality, with IVW method and reliability tests. It clarifies causal direction and verifies confounding impacts, laying a foundation for comorbidity intervention.
November 1, 2025 - October 31, 2026
Screen for key confounding variables that influence the association between depression and asthma.
Time Frame: November 1, 2025 - October 31, 2026
This study focuses on screening key confounding variables that affect the association between depression and asthma. Based on retrospective and prospective observational data, it identifies factors like smoking, BMI, age, gender, and comorbid chronic diseases. Mental stress, socioeconomic status, and medication use are also evaluated. Mendelian randomization further excludes residual confounding, verifying which variables truly mediate their association, to ensure accurate inference of the intrinsic link between the two conditions.
November 1, 2025 - October 31, 2026
Analyze the correlation between depression and the severity of asthma.
Time Frame: November 1, 2025 - October 31, 2026
This study analyzes the correlation between depression and asthma severity. Asthma severity is assessed via clinical indicators like lung function (FEV1), symptom frequency, and acute exacerbation rate. Retrospective and observational data are used to quantify their correlation, adjusting for confounding variables. Mendelian randomization excludes reverse causality and residual confounders, clarifying whether depression correlates with aggravated asthma severity, providing insights for targeted comorbidity management.
November 1, 2025 - October 31, 2026

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Verify the stability of instrumental variables (IVs) in the Mendelian Randomization (MR) study.
Time Frame: November 1, 2025 - October 31, 2026
This study focuses on verifying the stability of instrumental variables (IVs) in the Mendelian Randomization (MR) analysis. SNPs selected from GWAS as IVs are tested for reliability via multiple approaches: linkage disequilibrium filtering, heterogeneity assessment, and horizontal pleiotropy detection using MR-Egger intercept test. Sensitivity analyses, including leave-one-out and IVW robust models, are conducted to confirm IV stability, ensuring no single SNP biases results and reinforcing the credibility of causal inference.
November 1, 2025 - October 31, 2026

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

January 31, 2026

Primary Completion (Estimated)

October 31, 2026

Study Completion (Estimated)

October 31, 2026

Study Registration Dates

First Submitted

December 23, 2025

First Submitted That Met QC Criteria

January 21, 2026

First Posted (Actual)

January 30, 2026

Study Record Updates

Last Update Posted (Actual)

January 30, 2026

Last Update Submitted That Met QC Criteria

January 21, 2026

Last Verified

January 1, 2026

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Depression,Asthma

Subscribe