Integrated epigenome, whole genome sequence and metabolome analyses identify novel multi-omics pathways in type 2 diabetes: a Middle Eastern study

<h3>Background</h3><p dir="ltr">T2D is of high prevalence in the middle east and thus studying its mechanisms is of a significant importance. Using 1026 Qatar BioBank samples, epigenetics, whole genome sequencing and metabolomics were combined to further elucidate the bio...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Noha A. Yousri (1392577) (author)
مؤلفون آخرون: Omar M. E. Albagha (11704871) (author), Steven C. Hunt (10499012) (author)
منشور في: 2023
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author Noha A. Yousri (1392577)
author2 Omar M. E. Albagha (11704871)
Steven C. Hunt (10499012)
author2_role author
author
author_facet Noha A. Yousri (1392577)
Omar M. E. Albagha (11704871)
Steven C. Hunt (10499012)
author_role author
dc.creator.none.fl_str_mv Noha A. Yousri (1392577)
Omar M. E. Albagha (11704871)
Steven C. Hunt (10499012)
dc.date.none.fl_str_mv 2023-09-08T03:00:00Z
dc.identifier.none.fl_str_mv 10.1186/s12916-023-03027-x
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Integrated_epigenome_whole_genome_sequence_and_metabolome_analyses_identify_novel_multi-omics_pathways_in_type_2_diabetes_a_Middle_Eastern_study/26772133
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biological sciences
Genetics
Biomedical and clinical sciences
Medical biochemistry and metabolomics
Epigenetics
DNA methylation
Type 2 diabetes
Methylation quantitative trait loci
Whole genome sequence
Metabolomics
Qatar BioBank
Qatar Genome Project
Multiomics
Omics Networks
Pathways
dc.title.none.fl_str_mv Integrated epigenome, whole genome sequence and metabolome analyses identify novel multi-omics pathways in type 2 diabetes: a Middle Eastern study
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <h3>Background</h3><p dir="ltr">T2D is of high prevalence in the middle east and thus studying its mechanisms is of a significant importance. Using 1026 Qatar BioBank samples, epigenetics, whole genome sequencing and metabolomics were combined to further elucidate the biological mechanisms of T2D in a population with a high prevalence of T2D.</p><h3>Methods</h3><p dir="ltr">An epigenome-wide association study (EWAS) with T2D was performed using the Infinium 850K EPIC array, followed by whole genome-wide sequencing SNP-CpG association analysis (> 5.5 million SNPs) and a methylome-metabolome (CpG-metabolite) analysis of the identified T2D sites.</p><h3>Results</h3><p dir="ltr">A total of 66 T2D-CpG associations were identified, including 63 novel sites in pathways of fructose and mannose metabolism, insulin signaling, galactose, starch and sucrose metabolism, and carbohydrate absorption and digestion. Whole genome SNP associations with the 66 CpGs resulted in 688 significant CpG-SNP associations comprising 22 unique CpGs (33% of the 66 CPGs) and included 181 novel pairs or pairs in novel loci. Fourteen of the loci overlapped published GWAS loci for diabetes related traits and were used to identify causal associations of HK1 and PFKFB2 with HbA1c. Methylome-metabolome analysis identified 66 significant CpG-metabolite pairs among which 61 pairs were novel. Using the identified methylome-metabolome associations, methylation QTLs, and metabolic networks, a multi-omics network was constructed which suggested a number of metabolic mechanisms underlying T2D methylated genes. 1-palmitoyl-2-oleoyl-GPE (16:0/18:1) – a triglyceride-associated metabolite, shared a common network with 13 methylated CpGs, including TXNIP, PFKFB2, OCIAD1, and BLCAP. Mannonate – a food component/plant shared a common network with 6 methylated genes, including TXNIP, BLCAP, THBS4 and PEF1, pointing to a common possible cause of methylation in those genes. A subnetwork with alanine, glutamine, urea cycle (citrulline, arginine), and 1-carboxyethylvaline linked to PFKFB2 and TXNIP revealed associations with kidney function, hypertension and triglyceride metabolism. The pathway containing STYXL1-POR was associated with a sphingosine-ceramides subnetwork associated with HDL-C and LDL-C and point to steroid perturbations in T2D.</p><h3>Conclusions</h3><p dir="ltr">This study revealed several novel methylated genes in T2D, with their genomic variants and associated metabolic pathways with several implications for future clinical use of multi-omics associations in disease and for studying therapeutic targets.</p><h2>Other Information</h2><p dir="ltr">Published in: BMC Medicine<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1186/s12916-023-03027-x" target="_blank">https://dx.doi.org/10.1186/s12916-023-03027-x</a></p>
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network_acronym_str Manara2
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oai_identifier_str oai:figshare.com:article/26772133
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spelling Integrated epigenome, whole genome sequence and metabolome analyses identify novel multi-omics pathways in type 2 diabetes: a Middle Eastern studyNoha A. Yousri (1392577)Omar M. E. Albagha (11704871)Steven C. Hunt (10499012)Biological sciencesGeneticsBiomedical and clinical sciencesMedical biochemistry and metabolomicsEpigeneticsDNA methylationType 2 diabetesMethylation quantitative trait lociWhole genome sequenceMetabolomicsQatar BioBankQatar Genome ProjectMultiomicsOmics NetworksPathways<h3>Background</h3><p dir="ltr">T2D is of high prevalence in the middle east and thus studying its mechanisms is of a significant importance. Using 1026 Qatar BioBank samples, epigenetics, whole genome sequencing and metabolomics were combined to further elucidate the biological mechanisms of T2D in a population with a high prevalence of T2D.</p><h3>Methods</h3><p dir="ltr">An epigenome-wide association study (EWAS) with T2D was performed using the Infinium 850K EPIC array, followed by whole genome-wide sequencing SNP-CpG association analysis (> 5.5 million SNPs) and a methylome-metabolome (CpG-metabolite) analysis of the identified T2D sites.</p><h3>Results</h3><p dir="ltr">A total of 66 T2D-CpG associations were identified, including 63 novel sites in pathways of fructose and mannose metabolism, insulin signaling, galactose, starch and sucrose metabolism, and carbohydrate absorption and digestion. Whole genome SNP associations with the 66 CpGs resulted in 688 significant CpG-SNP associations comprising 22 unique CpGs (33% of the 66 CPGs) and included 181 novel pairs or pairs in novel loci. Fourteen of the loci overlapped published GWAS loci for diabetes related traits and were used to identify causal associations of HK1 and PFKFB2 with HbA1c. Methylome-metabolome analysis identified 66 significant CpG-metabolite pairs among which 61 pairs were novel. Using the identified methylome-metabolome associations, methylation QTLs, and metabolic networks, a multi-omics network was constructed which suggested a number of metabolic mechanisms underlying T2D methylated genes. 1-palmitoyl-2-oleoyl-GPE (16:0/18:1) – a triglyceride-associated metabolite, shared a common network with 13 methylated CpGs, including TXNIP, PFKFB2, OCIAD1, and BLCAP. Mannonate – a food component/plant shared a common network with 6 methylated genes, including TXNIP, BLCAP, THBS4 and PEF1, pointing to a common possible cause of methylation in those genes. A subnetwork with alanine, glutamine, urea cycle (citrulline, arginine), and 1-carboxyethylvaline linked to PFKFB2 and TXNIP revealed associations with kidney function, hypertension and triglyceride metabolism. The pathway containing STYXL1-POR was associated with a sphingosine-ceramides subnetwork associated with HDL-C and LDL-C and point to steroid perturbations in T2D.</p><h3>Conclusions</h3><p dir="ltr">This study revealed several novel methylated genes in T2D, with their genomic variants and associated metabolic pathways with several implications for future clinical use of multi-omics associations in disease and for studying therapeutic targets.</p><h2>Other Information</h2><p dir="ltr">Published in: BMC Medicine<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1186/s12916-023-03027-x" target="_blank">https://dx.doi.org/10.1186/s12916-023-03027-x</a></p>2023-09-08T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1186/s12916-023-03027-xhttps://figshare.com/articles/journal_contribution/Integrated_epigenome_whole_genome_sequence_and_metabolome_analyses_identify_novel_multi-omics_pathways_in_type_2_diabetes_a_Middle_Eastern_study/26772133CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/267721332023-09-08T03:00:00Z
spellingShingle Integrated epigenome, whole genome sequence and metabolome analyses identify novel multi-omics pathways in type 2 diabetes: a Middle Eastern study
Noha A. Yousri (1392577)
Biological sciences
Genetics
Biomedical and clinical sciences
Medical biochemistry and metabolomics
Epigenetics
DNA methylation
Type 2 diabetes
Methylation quantitative trait loci
Whole genome sequence
Metabolomics
Qatar BioBank
Qatar Genome Project
Multiomics
Omics Networks
Pathways
status_str publishedVersion
title Integrated epigenome, whole genome sequence and metabolome analyses identify novel multi-omics pathways in type 2 diabetes: a Middle Eastern study
title_full Integrated epigenome, whole genome sequence and metabolome analyses identify novel multi-omics pathways in type 2 diabetes: a Middle Eastern study
title_fullStr Integrated epigenome, whole genome sequence and metabolome analyses identify novel multi-omics pathways in type 2 diabetes: a Middle Eastern study
title_full_unstemmed Integrated epigenome, whole genome sequence and metabolome analyses identify novel multi-omics pathways in type 2 diabetes: a Middle Eastern study
title_short Integrated epigenome, whole genome sequence and metabolome analyses identify novel multi-omics pathways in type 2 diabetes: a Middle Eastern study
title_sort Integrated epigenome, whole genome sequence and metabolome analyses identify novel multi-omics pathways in type 2 diabetes: a Middle Eastern study
topic Biological sciences
Genetics
Biomedical and clinical sciences
Medical biochemistry and metabolomics
Epigenetics
DNA methylation
Type 2 diabetes
Methylation quantitative trait loci
Whole genome sequence
Metabolomics
Qatar BioBank
Qatar Genome Project
Multiomics
Omics Networks
Pathways