Abstract 4140727: Genetic Insights into Chronic Thromboembolic Pulmonary Hypertension: Uncovering Immune Mechanisms in the Chinese Population

Background: Current genomics studies on chronic thromboembolic pulmonary hypertension (CTEPH) have primarily focused on European populations, with limited research conducted on East Asian populations. Although CTEPH is considered a complication of acute pulmonary thromboembolism (PTE), 25% of CTEPH have no prior history of PTE. Aim: This study aimed to uncover the genetic basis of CTEPH and identify susceptibility loci and genes from the Chinese population, seeking to understand the shared and distinct genetic mechanisms between CTEPH and PTE. Methods: The discovery cohort enrolled 412 CTEPH and 2000 controls for whole genome sequencing. Genome-wide association analysis (GWAS) and gene annotation were performed for common variants (MAF>5%) to identify susceptibility gene. The heritability of CTEPH was calculated using LDSC. Additionally, burden test was performed in rare variants (MAF<1%) to identify candidate genes. Bulk and single-cell transcriptome analyses were performed on PEA tissues from CTEPH and controls. Method scPagwas was used to integrate GWAS and transcriptomics data. Results: A total of 1379 SNPs reached genome-wide significance (P<5×10 -8 ), and 217 risk loci were identified after Clumping. LDSC estimated a heritability of 0.1217 for CTEPH. FUMA and TWAS analysis mapped 708 susceptibility genes, of which 95 genes were suggested by both common and rare variants. Several CTEPH susceptibility genes, including CYP27C1, PROC, F2, LRP4, MPHOSPH9, SBNO1, EDEM2, PROCR, and ABO , have been previously reported to be associated with VTE. However, only ABO, F2 , and HLA-DRA overlap with CTEPH susceptibility genes identified in European populations. The scPagwas indicated that monocyte-macrophage trait correlation scores were highest in the single cell profiles of CTEPH. The differentially expressed genes from transcriptomics and susceptibility genes, identified five key genes: SLC11A1, SLCO2B1, RILPL2, HCK , and CTSS . SLC11A1 is primarily distributed in monocytes and macrophages and regulates multiple immune inflammation processes, including reactive oxygen species and interleukin production, and T cell differentiation. Disease-related pathways encompass the complement coagulation pathway, Th cell differentiation, and various autoimmune diseases. Conclusion: CTEPH is influenced by genetic factors. Multiomics data suggest that abnormal immune responses mediated by high SCL11A1 expression in monocytes and macrophages may be a key mechanism in the development of CTEPH.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.4140727
Primary Topic
Pulmonary Hypertension Research and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4140727: Genetic Insights into Chronic Thromboembolic Pulmonary Hypertension: Uncovering Immune Mechanisms in the Chinese Population

Zhenguo Zhai, mengjie Duo, Zhu Zhang, Bingzhang Zou et al.
Circulation
Pulmonary Hypertension Research and Treatments
article

Abstract 4140727: Genetic Insights into Chronic Thromboembolic Pulmonary Hypertension: Uncovering Immune Mechanisms in the Chinese Population

Zhenguo Zhai, mengjie Duo, Zhu Zhang, Bingzhang Zou, Chen Wang
article en

Abstract

Background: Current genomics studies on chronic thromboembolic pulmonary hypertension (CTEPH) have primarily focused on European populations, with limited research conducted on East Asian populations. Although CTEPH is considered a complication of acute pulmonary thromboembolism (PTE), 25% of CTEPH have no prior history of PTE. Aim: This study aimed to uncover the genetic basis of CTEPH and identify susceptibility loci and genes from the Chinese population, seeking to understand the shared and distinct genetic mechanisms between CTEPH and PTE. Methods: The discovery cohort enrolled 412 CTEPH and 2000 controls for whole genome sequencing. Genome-wide association analysis (GWAS) and gene annotation were performed for common variants (MAF>5%) to identify susceptibility gene. The heritability of CTEPH was calculated using LDSC. Additionally, burden test was performed in rare variants (MAF<1%) to identify candidate genes. Bulk and single-cell transcriptome analyses were performed on PEA tissues from CTEPH and controls. Method scPagwas was used to integrate GWAS and transcriptomics data. Results: A total of 1379 SNPs reached genome-wide significance (P<5×10 -8 ), and 217 risk loci were identified after Clumping. LDSC estimated a heritability of 0.1217 for CTEPH. FUMA and TWAS analysis mapped 708 susceptibility genes, of which 95 genes were suggested by both common and rare variants. Several CTEPH susceptibility genes, including CYP27C1, PROC, F2, LRP4, MPHOSPH9, SBNO1, EDEM2, PROCR, and ABO , have been previously reported to be associated with VTE. However, only ABO, F2 , and HLA-DRA overlap with CTEPH susceptibility genes identified in European populations. The scPagwas indicated that monocyte-macrophage trait correlation scores were highest in the single cell profiles of CTEPH. The differentially expressed genes from transcriptomics and susceptibility genes, identified five key genes: SLC11A1, SLCO2B1, RILPL2, HCK , and CTSS . SLC11A1 is primarily distributed in monocytes and macrophages and regulates multiple immune inflammation processes, including reactive oxygen species and interleukin production, and T cell differentiation. Disease-related pathways encompass the complement coagulation pathway, Th cell differentiation, and various autoimmune diseases. Conclusion: CTEPH is influenced by genetic factors. Multiomics data suggest that abnormal immune responses mediated by high SCL11A1 expression in monocytes and macrophages may be a key mechanism in the development of CTEPH.

CirculationVol. 150(Suppl_1)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), China-Japan Friendship Hospital (CN)
Good health and well-being
Openalex Percentile: Top 61%
Pulmonary Hypertension Research and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.