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Silverman, E.K.

Mayo Clinic

Brigham and Women's Hospital

Citations 2

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.
Whole Genome Sequencing Analysis of Mucus Plugging in Chronic Obstructive Pulmonary Disease (COPD)
Medicine, Trans-Omics in Precision, Silverman, E.K., Nath, H.P., Orejas, J. , Yen, Andrew , Jacobs, Kathleen, Manapragada, Padma P. , Abozeed, Mostafa , Zahid, Mohd , Sonavane, Sushilkumar K. , Cho, M.H. , Kim, Katherine Callaway , Grumley, Scott , Dolliver, Wojciech Remington , Yen, A., Aziz, Muhammad Usman , Díaz, Alejandro A.

A24. COPD PHENOTYPES: LOOKING OUTSIDE THE LUNG | May 1, 2023 | Volume: No volume available | Issue: No issue available | Pages: A1153-A1153

10.1164/ajrccm-conference.2023.207.1_meetingabstracts.a1153 Get It