Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Mar 4;333(9):784-792.
doi: 10.1001/jama.2024.24212.

Polygenic Risk Score Added to Conventional Case Finding to Identify Undiagnosed Chronic Obstructive Pulmonary Disease

Affiliations

Polygenic Risk Score Added to Conventional Case Finding to Identify Undiagnosed Chronic Obstructive Pulmonary Disease

Jingzhou Zhang et al. JAMA. .

Abstract

Importance: Chronic obstructive pulmonary disease (COPD) is often undiagnosed. Although genetic risk plays a significant role in COPD susceptibility, its utility in guiding spirometry testing and identifying undiagnosed cases is unclear.

Objective: To determine whether a COPD polygenic risk score (PRS) enhances the identification of undiagnosed COPD beyond a case-finding questionnaire (eg, the Lung Function Questionnaire) using conventional risk factors and respiratory symptoms.

Design, setting, and participants: This cross-sectional analysis of participants 35 years or older who reported no history of physician-diagnosed COPD was conducted using data from 2 observational studies: the community-based Framingham Heart Study (FHS) and the COPD-enriched Genetic Epidemiology of COPD (COPDGene) study.

Exposures: Modified Lung Function Questionnaire (mLFQ) scores and COPD PRS.

Main outcomes and measures: The primary outcome was spirometry-defined moderate to severe COPD (forced expiratory volume in the first second of expiration/forced vital capacity [FEV1/FVC] <0.7 and FEV1 [percent predicted] <80%). The performance of logistic models was assessed using the PRS, mLFQ score, and PRS plus mLFQ score for predicting spirometry-defined COPD.

Results: Among 3385 FHS participants (median age, 52.0 years; 45.9% male) and 4095 COPDGene participants (median age, 56.8 years; 55.5% male) who reported no history of COPD, 160 (4.7%) FHS and 775 (18.9%) COPDGene participants had spirometry-defined COPD. Adding the PRS to the mLFQ score significantly improved the area under the curve from 0.78 to 0.84 (P < .001) in FHS, 0.69 to 0.72 (P = .04) in COPDGene non-Hispanic African American, and 0.75 to 0.78 (P < .001) in COPDGene non-Hispanic White participants. At a risk threshold for spirometry referral of 10%, the addition of the PRS to the mLFQ score correctly reclassified 13.8% (95% CI, 6.6%-21.0%) of COPD cases in FHS, but not in COPDGene.

Conclusions and relevance: A COPD PRS enhances the identification of undiagnosed COPD beyond a conventional case-finding approach in the general population. Further research is needed to assess its impact on COPD diagnosis and outcomes.

PubMed Disclaimer

Conflict of interest statement

Conflict of Interest Disclosures: Dr Hobbs reported receiving grants from NIH/NHLBI (R01 HL162813, R01 HL155749, R01 HL160008, U01 HL089856), Bayer Pharmaceuticals, and Alpha-1 Foundation during the conduct of the study and personal fees from AstraZeneca outside the submitted work. Dr Silverman reported being supported by National Institutes of Health grants (R01 HL152728, R01 HL147148, R01 HL133135, and P01 HL114501) and an National Heart, Lung, and Blood Institute (NHLBI) contract (75N92023D00008) and receiving grants from Bayer and Northpond Laboratories outside the submitted work. Dr Ortega reported receiving personal fees from Regeneron and Sanofi outside the submitted work. Dr O'Connor reported receiving support from an NHLBI contract (75N92019D00031) NIH during the conduct of the study. Dr Cho reported receiving grants from NHLBI (R01HL168199, R01HL162813, and R01HL153248, and R01HL135142) during the conduct of the study and grants from Bayer and personal fees from Apogee outside the submitted work. Dr Moll reported receiving grants from NHLBI (K08HL159318) during the conduct of the study and personal fees from 2ndMD, TheaHealth, Verona Pharma, Axon Advisors, and Sanofi outside the submitted work. No other disclosures were reported.

Figures

Figure 1.
Figure 1.. Study Flow of the Analytic Samples From the Framingham Heart Study and COPDGene Study
aThe mLFQ score was calculated based on study participants’ data that best matched the questions from the Lung Function Questionnaire, a COPD case-finding questionnaire using age, smoking history, and respiratory symptoms to estimate an individual’s clinical risk for COPD. Further details of the calculation of the mLFQ score can be found in the eMethods in Supplement 1. bGOLD 1 COPD is defined as forced expiratory volume in the first second/forced vital capacity (FEV1/FVC) <0.7 and FEV1 (percent predicted) ≥80%. cPRISm is defined as FEV1/FVC ≥0.7 and FEV1 (percent predicted) <80%. COPD indicates chronic obstructive pulmonary disease; GOLD, Global Initiative for Chronic Obstructive Lung Disease; mLFQ, modified Lung Function Questionnaire; PRISm, preserved ratio impaired spirometry.
Figure 2.
Figure 2.. Receiver Operating Characteristic Curve and Area Under the Curve for the PRS, mLFQ Score, and Combined PRS and mLFQ Score in Predicting Moderate to Severe COPD
Moderate to severe COPD is defined as forced expiratory volume in the first second/forced vital capacity (FEV1/FVC) <0.7 and FEV1 (percent predicted) <80%. The mLFQ score was calculated using study participants’ data that best matched the questions from the Lung Function Questionnaire, a COPD case-finding questionnaire using age, smoking history, and respiratory symptoms to estimate an individual’s clinical risk for COPD. AUC indicates area under the receiver operating characteristic curve; COPD, chronic obstructive pulmonary disease; COPDGene, Genetic Epidemiology of Chronic Obstructive Pulmonary Disease study; mLFQ, modified Lung Function questionnaire; PRS, polygenic risk score.
Figure 3.
Figure 3.. Net Reclassification Comparing the Combined PRS and mLFQ Score vs the mLFQ Score Alone for Predicting Moderate to Severe COPD Using a Risk Threshold ≥10%
Moderate to severe COPD is defined as forced expiratory volume in the first second/forced vital capacity (FEV1/FVC) <0.7 and FEV1 (percent predicted) <80%. The modified Lung Function questionnaire (mLFQ) score was calculated using study participants’ data that best matched the questions from the Lung Function Questionnaire, a chronic obstructive pulmonary disease (COPD) case finding questionnaire using age, smoking history, and respiratory symptoms to estimate an individual’s clinical risk for COPD. A model classifies an individual as a case if the predicted risk is higher than or equal to the risk threshold. The net reclassification index (NRI) quantifies how well a model (in this case, the combined polygenic risk score [PRS] and mLFQ score) reclassifies individuals into correct risk categories compared with an older model (mLFQ score alone). The NRI for cases is calculated as the proportion of cases correctly reclassified into a higher risk category by the new model minus the proportion of cases incorrectly reclassified into a lower risk category. Similarly, the NRI for noncases is calculated as the percentage of noncases correctly reclassified into a lower risk category by the new model minus the percentage of noncases incorrectly reclassified into a higher risk category. The net reclassification comparing the combined PRS and mLFQ score vs the mLFQ score alone, using risk thresholds of ≥5% and ≥20%, is provided in eFigures 1 and 2 in Supplement 1, respectively. COPDGene indicates Genetic Epidemiology of COPD Study.

References

    1. Boers E, Barrett M, Su JG, et al. Global burden of chronic obstructive pulmonary disease through 2050. JAMA Netw Open. 2023;6(12):e2346598. doi: 10.1001/jamanetworkopen.2023.46598 - DOI - PMC - PubMed
    1. Lamprecht B, Soriano JB, Studnicka M, et al. ; BOLD Collaborative Research Group, the EPI-SCAN Team, the PLATINO Team, and the PREPOCOL Study Group . Determinants of underdiagnosis of COPD in national and international surveys. Chest. 2015;148(4):971-985. doi: 10.1378/chest.14-2535 - DOI - PubMed
    1. Martinez CH, Mannino DM, Jaimes FA, et al. Undiagnosed obstructive lung disease in the United States: associated factors and long-term mortality. Ann Am Thorac Soc. 2015;12(12):1788-1795. doi: 10.1513/AnnalsATS.201506-388OC - DOI - PMC - PubMed
    1. Çolak Y, Afzal S, Nordestgaard BG, Vestbo J, Lange P. Prognosis of asymptomatic and symptomatic, undiagnosed COPD in the general population in Denmark: a prospective cohort study. Lancet Respir Med. 2017;5(5):426-434. doi: 10.1016/S2213-2600(17)30119-4 - DOI - PubMed
    1. Labonté LE, Tan WC, Li PZ, et al. ; Canadian Respiratory Research Network; CanCOLD Collaborative Research Group . Undiagnosed chronic obstructive pulmonary disease contributes to the burden of health care use: data from the CanCOLD study. Am J Respir Crit Care Med. 2016;194(3):285-298. doi: 10.1164/rccm.201509-1795OC - DOI - PubMed

Publication types

MeSH terms