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Chun, Sung

https://orcid.org/0000-0003-3440-1913

Mayo Clinic

Boston Children's Hospital

Citations 3

Whole Genome Sequencing Analysis of Severe, Early-onset Chronic Obstructive Pulmonary Disease
Gharib, Salwa, Oelsner, E., Xu, Hanfei , Yu, Bing , Meyers, D.A., Norwood, Arnita F. , Ortega, V.E., Sliwiński, P, Medicine, Trans-Omics in Precision, Silverman, E.K., Cho, M.H. , Oelsner, Elizabeth C. , Oelsner, Elizabeth C , Kim, Katherine Callaway , Hu, X., Chun, Sung , Rasmussen‐Torvik, Laura J. , Sofer, Tamar , Barr, R. Graham , Carson, April P. , Kalhan, Ravi , Kaplan, Robert C. , Lomas, David A. , London, Stephanie J. , Meyers, D.A., O’Connor, George T. , Psaty, Bruce M. , Rich, Stephen S. , Manichaikul, Ani

American Journal of Respiratory and Critical Care Medicine | May 11, 2025 | Volume: 211 | Issue: Supplement_1 | Pages: A3380-A3380

10.1164/ajrccm.2025.211.abstracts.a3380 Get It

Abstract Background:Chronic obstructive pulmonary disease (COPD) is a major global health burden, with genome-wide association studies explaining only a fraction of its heritability. Recent advancements, including large-scale, multi-ancestry whole-genome sequencing and a focus on severe, early-onset cases, offer promising avenues to identify additional COPD-related variants. Furthermore, recent studies show that adjusting for polygenic risk scores (PRS) enhances statistical power to detect rare variants, advancing efforts to understand COPD's genetic basis. Methods:We performed a whole genome sequencing association study of severe, early-onset COPD (FEV1 < 50%, age ≤ 55), FEV1 and FEV1/FVC in eight population-based studies (ARIC, CARDIA, CFS, CHS, FHS, HCHS/SOL, JHS, MESA) and seven COPD-enriched studies (COPDGene, ECLIPSE, Boston Early-Onset COPD Study, LTRC, TCGS (Poland), ICGN, SPIROMICS). We performed single-variant analyses using regenie software, applying a genome-wide significance threshold of P < 5.0 x 10-8. For rare variant set (MAF <1%) analysis, we annotated variants with loss of function or deleterious missense using WGS Annotator and prediction tools LOFTEE, SIFT, and PolyPhen2, then analyzed these variants with SKATO-ACAT method in regenie, adjusting for covariates including sex, sequencing center, and principal components of ancestry. We additionally evaluated adjusting the analyses for PRSs for lung function traits. Results: We analyzed 53,028 participants including 34,751 European, 12,508 African, 1,088 Latino American, and 674 East Asian ancestry. Across cohorts, we analyzed 5,063 severe (FEV1 < 50%) COPD cases, among whom 1,103 were early-onset (age ≤ 55). Excluding variants within 1 Mbp of known variants, single-variant analysis identified 68 novel associations (MAC ≥ 30), with 8 common associations (MAF ≥ 1%) in 6 genomic regions. Our most significant novel association for severe early-onset COPD was rs74297390 (intergenic to POM121L12, MAF = 9.6%, Beta = 0.41, P = 3.5 x 10-8). For FEV1 and FEV1/FVC ratio, variants near DKK2 and AKR1E2 were significantly associated and were replicated in an independent dataset (Shrine et al., 2019). DKK2 is an antagonist in the Wnt pathway. In a preliminary variant set analysis, CHRM3-AS1 was associated with severe early-onset COPD, GPAT with FEV1, and COL8A1I and HMCN1 with FEV1/FVC. With PRS adjustment, ST6GALNAC5 was associated with FEV1/FVC. Conclusions: In a whole genome sequencing study of lung function and severe early-onset COPD, we identified new loci for COPD-related phenotypes, including two novel loci that replicated in an independent dataset. Ongoing work involves variant set-based analyses with additional covariate adjustments, as well as PRS adjustments for binary traits.
A Polygenic Risk Score for Idiopathic Pulmonary Fibrosis and Interstitial Lung Abnormalities
Peljto, Anna L. , Xu, Hanfei , Debban, Catherine L., Chen, Xianfeng , Menon, Aravind , Putman, Rachel K. , Saferali, Aabida , Nishino, Mizuki , Hatabu, Hiroto , Hobbs, Brian D. , McDermott, Gregory C , Sparks, Jeffrey A. , Allen, Richard J. , Raby, Benjamin A. , Chun, Sung , Silverman, Edwin K. , Zamora, Ana, Ortega, Victor E. , Bleecker, Eugene R. , Meyers, Deborah A. , Rotter, Jerome I. , Fingerlin, Tasha E. , Hunninghake, Gary M. , Peljto, Anna L , Menon, Aravind , Zamora, Ana C., Garcia, Christine K , Sparks, Jeffrey A , McDermott, Gregory , Rotter, Jerome I , Hobbs, Brian D , Allen, Richard J , Hunninghake, Gary M , Moll, Matthew , Kim, John S. , Ghosh, Auyon , Hecker, Julian , Wain, Louise V , Tobin, Martin D. , Barr, R. Graham , Kaner, Robert J. , Rich, Stephen S. , Manichaikul, Ani , Dupuis, Josée , O’Connor, George T. , Schwartz, David A. , Cho, Michael H.

American Journal of Respiratory and Critical Care Medicine | July 31, 2023 | Volume: 208 | Issue: 7 | Pages: 791-801

10.1164/rccm.202212-2257oc Get It

Abstract Rationale In addition to rare genetic variants and the MUC5B locus, common genetic variants contribute to idiopathic pulmonary fibrosis (IPF) risk. The predictive power of common variants outside the MUC5B locus for IPF and interstitial lung abnormalities (ILAs) is unknown. Objectives We tested the predictive value of IPF polygenic risk scores (PRSs) with and without the MUC5B region on IPF, ILA, and ILA progression. Methods We developed PRSs that included (PRS-M5B) and excluded (PRS-NO-M5B) the MUC5B region (500-kb window around rs35705950-T) using an IPF genome-wide association study. We assessed PRS associations with area under the receiver operating characteristic curve (AUC) metrics for IPF, ILA, and ILA progression. Measurements and Main Results We included 14,650 participants (1,970 IPF; 1,068 ILA) from six multi-ancestry population-based and case–control cohorts. In cases excluded from genome-wide association study, the PRS-M5B (odds ratio [OR] per SD of the score, 3.1; P = 7.1 × 10−95) and PRS-NO-M5B (OR per SD, 2.8; P = 2.5 × 10−87) were associated with IPF. Participants in the top PRS-NO-M5B quintile had ∼sevenfold odds for IPF compared with those in the first quintile. A clinical model predicted IPF (AUC, 0.61); rs35705950-T and PRS-NO-M5B demonstrated higher AUCs (0.73 and 0.7, respectively), and adding both genetic predictors to a clinical model yielded the highest performance (AUC, 0.81). The PRS-NO-M5B was associated with ILA (OR, 1.25) and ILA progression (OR, 1.16) in European ancestry participants. Conclusions A common genetic variant risk score complements the MUC5B variant to identify individuals at high risk of interstitial lung abnormalities and pulmonary fibrosis.