TY - JOUR
T1 - Epigenome-wide DNA methylation association study of circulating IgE levels identifies novel targets for asthma
AU - NHLBI Trans-Omics in Precision Medicine (TOPMed) Consortium
AU - Recto, Kathryn
AU - Kachroo, Priyadarshini
AU - Huan, Tianxiao
AU - Van Den Berg, David
AU - Lee, Gha Young
AU - Bui, Helena
AU - Lee, Dong Heon
AU - Gereige, Jessica
AU - Yao, Chen
AU - Hwang, Shih Jen
AU - Joehanes, Roby
AU - Weiss, Scott T.
AU - Abe, Namiko
AU - Abecasis, Gonçalo
AU - Aguet, Francois
AU - Albert, Christine
AU - Almasy, Laura
AU - Alonso, Alvaro
AU - Ament, Seth
AU - Anderson, Peter
AU - Anugu, Pramod
AU - Applebaum-Bowden, Deborah
AU - Ardlie, Kristin
AU - Arking, Dan
AU - Arnett, Donna K.
AU - Ashley-Koch, Allison
AU - Aslibekyan, Stella
AU - Assimes, Tim
AU - Auer, Paul
AU - Avramopoulos, Dimitrios
AU - Ayas, Najib
AU - Balasubramanian, Adithya
AU - Barnard, John
AU - Barnes, Kathleen
AU - Barr, R. Graham
AU - Barron-Casella, Emily
AU - Barwick, Lucas
AU - Beaty, Terri
AU - Beck, Gerald
AU - Becker, Diane
AU - Becker, Lewis
AU - Beer, Rebecca
AU - Beitelshees, Amber
AU - Benjamin, Emelia
AU - Benos, Takis
AU - Bezerra, Marcos
AU - Bielak, Larry
AU - Bis, Joshua
AU - Blackwell, Thomas
AU - Meyers, Deborah A.
N1 - Publisher Copyright:
© 2023 The Authors
PY - 2023/9
Y1 - 2023/9
N2 - Background: Identifying novel epigenetic signatures associated with serum immunoglobulin E (IgE) may improve our understanding of molecular mechanisms underlying asthma and IgE-mediated diseases. Methods: We performed an epigenome-wide association study using whole blood from Framingham Heart Study (FHS; n = 3,471, 46% females) participants and validated results using the Childhood Asthma Management Program (CAMP; n = 674, 39% females) and the Genetic Epidemiology of Asthma in Costa Rica Study (CRA; n = 787, 41% females). Using the closest gene to each IgE-associated CpG, we highlighted biologically plausible pathways underlying IgE regulation and analyzed the transcription patterns linked to IgE-associated CpGs (expression quantitative trait methylation loci; eQTMs). Using prior UK Biobank summary data from genome-wide association studies of asthma and allergy, we performed Mendelian randomization (MR) for causal inference testing using the IgE-associated CpGs from FHS with methylation quantitative trait loci (mQTLs) as instrumental variables. Findings: We identified 490 statistically significant differentially methylated CpGs associated with IgE in FHS, of which 193 (39.3%) replicated in CAMP and CRA (FDR < 0.05). Gene ontology analysis revealed enrichment in pathways related to transcription factor binding, asthma, and other immunological processes. eQTM analysis identified 124 cis-eQTMs for 106 expressed genes (FDR < 0.05). MR in combination with drug-target analysis revealed CTSB and USP20 as putatively causal regulators of IgE levels (Bonferroni adjusted P < 7.94E-04) that can be explored as potential therapeutic targets. Interpretation: By integrating eQTM and MR analyses in general and clinical asthma populations, our findings provide a deeper understanding of the multidimensional inter-relations of DNA methylation, gene expression, and IgE levels. Funding: US NIH/ NHLBI grants: P01HL132825, K99HL159234. N01-HC-25195 and HHSN268201500001I.
AB - Background: Identifying novel epigenetic signatures associated with serum immunoglobulin E (IgE) may improve our understanding of molecular mechanisms underlying asthma and IgE-mediated diseases. Methods: We performed an epigenome-wide association study using whole blood from Framingham Heart Study (FHS; n = 3,471, 46% females) participants and validated results using the Childhood Asthma Management Program (CAMP; n = 674, 39% females) and the Genetic Epidemiology of Asthma in Costa Rica Study (CRA; n = 787, 41% females). Using the closest gene to each IgE-associated CpG, we highlighted biologically plausible pathways underlying IgE regulation and analyzed the transcription patterns linked to IgE-associated CpGs (expression quantitative trait methylation loci; eQTMs). Using prior UK Biobank summary data from genome-wide association studies of asthma and allergy, we performed Mendelian randomization (MR) for causal inference testing using the IgE-associated CpGs from FHS with methylation quantitative trait loci (mQTLs) as instrumental variables. Findings: We identified 490 statistically significant differentially methylated CpGs associated with IgE in FHS, of which 193 (39.3%) replicated in CAMP and CRA (FDR < 0.05). Gene ontology analysis revealed enrichment in pathways related to transcription factor binding, asthma, and other immunological processes. eQTM analysis identified 124 cis-eQTMs for 106 expressed genes (FDR < 0.05). MR in combination with drug-target analysis revealed CTSB and USP20 as putatively causal regulators of IgE levels (Bonferroni adjusted P < 7.94E-04) that can be explored as potential therapeutic targets. Interpretation: By integrating eQTM and MR analyses in general and clinical asthma populations, our findings provide a deeper understanding of the multidimensional inter-relations of DNA methylation, gene expression, and IgE levels. Funding: US NIH/ NHLBI grants: P01HL132825, K99HL159234. N01-HC-25195 and HHSN268201500001I.
KW - Asthma
KW - DNA methylation
KW - Drug targets
KW - EWAS
KW - IgE
KW - Lung
KW - Mendelian randomization
KW - RNA-Sequencing
KW - eQTM
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U2 - 10.1016/j.ebiom.2023.104758
DO - 10.1016/j.ebiom.2023.104758
M3 - Article
C2 - 37598461
AN - SCOPUS:85168098669
SN - 2352-3964
VL - 95
JO - EBioMedicine
JF - EBioMedicine
M1 - 104758
ER -