unpaired and paired two-sided t-test Search Results


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A A total of 370 genes annotated to the heteroplasmy-associated CpGs were analyzed using DAVID, a comprehensive tool for functional annotation, disease association, and Gene Ontology (GO) analysis. Enrichment was assessed using DAVID’s modified Fisher’s exact test (EASE score), a two-sided test, detecting both over- and under-representation of terms relative to the background set. Enrichment analysis using the Genetic Association Database (GAD) revealed that these genes are enriched in metabolic traits and processes related to multicellular organization (a false discovery rate, FDR < 0.05). B GO biological pathway analysis of these 370 genes indicated enrichment in pathways related to signaling and neurodevelopment (FDR < 0.05). C Correlation between variant allele fraction (VAF) and CpG methylation at <t>cg04569152.</t> Functional validation using HEK293T cell line editing and pyrosequencing demonstrated a significant positive correlation between VAF of an mtDNA nonsense mutation (mt.9979 in MT-COX3) and methylation levels at cg04569152 ( p = 0.003 from a two-sided t -test). The mutation was introduced using the FusX TALE-based editing system (FusXTBE), and methylation was quantified by pyrosequencing. Linear correlation was assessed using Pearson’s method, supporting a potential epigenetic influence of mtDNA heteroplasmic variation on nuclear CpG methylation (see Supplementary Fig. ). D Integrative analysis of cg15233611( SETD1B ) illustrates its associations with mtDNA heteroplasmy burden, measured by the mitochondrial local constraint score sum (MSS), as well as with smoking, HDL cholesterol, and triglycerides, supported by methylation-trait associations and Mendelian randomization (MR). Pink circles with the positive sign (+) indicate a positive association, while blue circles with the negative sign (-) indicate a negative association. Association analyses were performed using linear regression, with significance assessed by two-sided t -tests for regression coefficients. Mendelian randomization (MR) analyses used the inverse-variance weighted (IVW) method, with significance assessed by two-sided Wald z-tests.
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A A total of 370 genes annotated to the heteroplasmy-associated CpGs were analyzed using DAVID, a comprehensive tool for functional annotation, disease association, and Gene Ontology (GO) analysis. Enrichment was assessed using DAVID’s modified Fisher’s exact test (EASE score), a two-sided test, detecting both over- and under-representation of terms relative to the background set. Enrichment analysis using the Genetic Association Database (GAD) revealed that these genes are enriched in metabolic traits and processes related to multicellular organization (a false discovery rate, FDR < 0.05). B GO biological pathway analysis of these 370 genes indicated enrichment in pathways related to signaling and neurodevelopment (FDR < 0.05). C Correlation between variant allele fraction (VAF) and CpG methylation at <t>cg04569152.</t> Functional validation using HEK293T cell line editing and pyrosequencing demonstrated a significant positive correlation between VAF of an mtDNA nonsense mutation (mt.9979 in MT-COX3) and methylation levels at cg04569152 ( p = 0.003 from a two-sided t -test). The mutation was introduced using the FusX TALE-based editing system (FusXTBE), and methylation was quantified by pyrosequencing. Linear correlation was assessed using Pearson’s method, supporting a potential epigenetic influence of mtDNA heteroplasmic variation on nuclear CpG methylation (see Supplementary Fig. ). D Integrative analysis of cg15233611( SETD1B ) illustrates its associations with mtDNA heteroplasmy burden, measured by the mitochondrial local constraint score sum (MSS), as well as with smoking, HDL cholesterol, and triglycerides, supported by methylation-trait associations and Mendelian randomization (MR). Pink circles with the positive sign (+) indicate a positive association, while blue circles with the negative sign (-) indicate a negative association. Association analyses were performed using linear regression, with significance assessed by two-sided t -tests for regression coefficients. Mendelian randomization (MR) analyses used the inverse-variance weighted (IVW) method, with significance assessed by two-sided Wald z-tests.
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A A total of 370 genes annotated to the heteroplasmy-associated CpGs were analyzed using DAVID, a comprehensive tool for functional annotation, disease association, and Gene Ontology (GO) analysis. Enrichment was assessed using DAVID’s modified Fisher’s exact test (EASE score), a two-sided test, detecting both over- and under-representation of terms relative to the background set. Enrichment analysis using the Genetic Association Database (GAD) revealed that these genes are enriched in metabolic traits and processes related to multicellular organization (a false discovery rate, FDR < 0.05). B GO biological pathway analysis of these 370 genes indicated enrichment in pathways related to signaling and neurodevelopment (FDR < 0.05). C Correlation between variant allele fraction (VAF) and CpG methylation at <t>cg04569152.</t> Functional validation using HEK293T cell line editing and pyrosequencing demonstrated a significant positive correlation between VAF of an mtDNA nonsense mutation (mt.9979 in MT-COX3) and methylation levels at cg04569152 ( p = 0.003 from a two-sided t -test). The mutation was introduced using the FusX TALE-based editing system (FusXTBE), and methylation was quantified by pyrosequencing. Linear correlation was assessed using Pearson’s method, supporting a potential epigenetic influence of mtDNA heteroplasmic variation on nuclear CpG methylation (see Supplementary Fig. ). D Integrative analysis of cg15233611( SETD1B ) illustrates its associations with mtDNA heteroplasmy burden, measured by the mitochondrial local constraint score sum (MSS), as well as with smoking, HDL cholesterol, and triglycerides, supported by methylation-trait associations and Mendelian randomization (MR). Pink circles with the positive sign (+) indicate a positive association, while blue circles with the negative sign (-) indicate a negative association. Association analyses were performed using linear regression, with significance assessed by two-sided t -tests for regression coefficients. Mendelian randomization (MR) analyses used the inverse-variance weighted (IVW) method, with significance assessed by two-sided Wald z-tests.
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RStudio two-sided student’s t test
A A total of 370 genes annotated to the heteroplasmy-associated CpGs were analyzed using DAVID, a comprehensive tool for functional annotation, disease association, and Gene Ontology (GO) analysis. Enrichment was assessed using DAVID’s modified Fisher’s exact test (EASE score), a two-sided test, detecting both over- and under-representation of terms relative to the background set. Enrichment analysis using the Genetic Association Database (GAD) revealed that these genes are enriched in metabolic traits and processes related to multicellular organization (a false discovery rate, FDR < 0.05). B GO biological pathway analysis of these 370 genes indicated enrichment in pathways related to signaling and neurodevelopment (FDR < 0.05). C Correlation between variant allele fraction (VAF) and CpG methylation at <t>cg04569152.</t> Functional validation using HEK293T cell line editing and pyrosequencing demonstrated a significant positive correlation between VAF of an mtDNA nonsense mutation (mt.9979 in MT-COX3) and methylation levels at cg04569152 ( p = 0.003 from a two-sided t -test). The mutation was introduced using the FusX TALE-based editing system (FusXTBE), and methylation was quantified by pyrosequencing. Linear correlation was assessed using Pearson’s method, supporting a potential epigenetic influence of mtDNA heteroplasmic variation on nuclear CpG methylation (see Supplementary Fig. ). D Integrative analysis of cg15233611( SETD1B ) illustrates its associations with mtDNA heteroplasmy burden, measured by the mitochondrial local constraint score sum (MSS), as well as with smoking, HDL cholesterol, and triglycerides, supported by methylation-trait associations and Mendelian randomization (MR). Pink circles with the positive sign (+) indicate a positive association, while blue circles with the negative sign (-) indicate a negative association. Association analyses were performed using linear regression, with significance assessed by two-sided t -tests for regression coefficients. Mendelian randomization (MR) analyses used the inverse-variance weighted (IVW) method, with significance assessed by two-sided Wald z-tests.
Two Sided Student’s T Test, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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A A total of 370 genes annotated to the heteroplasmy-associated CpGs were analyzed using DAVID, a comprehensive tool for functional annotation, disease association, and Gene Ontology (GO) analysis. Enrichment was assessed using DAVID’s modified Fisher’s exact test (EASE score), a two-sided test, detecting both over- and under-representation of terms relative to the background set. Enrichment analysis using the Genetic Association Database (GAD) revealed that these genes are enriched in metabolic traits and processes related to multicellular organization (a false discovery rate, FDR < 0.05). B GO biological pathway analysis of these 370 genes indicated enrichment in pathways related to signaling and neurodevelopment (FDR < 0.05). C Correlation between variant allele fraction (VAF) and CpG methylation at <t>cg04569152.</t> Functional validation using HEK293T cell line editing and pyrosequencing demonstrated a significant positive correlation between VAF of an mtDNA nonsense mutation (mt.9979 in MT-COX3) and methylation levels at cg04569152 ( p = 0.003 from a two-sided t -test). The mutation was introduced using the FusX TALE-based editing system (FusXTBE), and methylation was quantified by pyrosequencing. Linear correlation was assessed using Pearson’s method, supporting a potential epigenetic influence of mtDNA heteroplasmic variation on nuclear CpG methylation (see Supplementary Fig. ). D Integrative analysis of cg15233611( SETD1B ) illustrates its associations with mtDNA heteroplasmy burden, measured by the mitochondrial local constraint score sum (MSS), as well as with smoking, HDL cholesterol, and triglycerides, supported by methylation-trait associations and Mendelian randomization (MR). Pink circles with the positive sign (+) indicate a positive association, while blue circles with the negative sign (-) indicate a negative association. Association analyses were performed using linear regression, with significance assessed by two-sided t -tests for regression coefficients. Mendelian randomization (MR) analyses used the inverse-variance weighted (IVW) method, with significance assessed by two-sided Wald z-tests.
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A A total of 370 genes annotated to the heteroplasmy-associated CpGs were analyzed using DAVID, a comprehensive tool for functional annotation, disease association, and Gene Ontology (GO) analysis. Enrichment was assessed using DAVID’s modified Fisher’s exact test (EASE score), a two-sided test, detecting both over- and under-representation of terms relative to the background set. Enrichment analysis using the Genetic Association Database (GAD) revealed that these genes are enriched in metabolic traits and processes related to multicellular organization (a false discovery rate, FDR < 0.05). B GO biological pathway analysis of these 370 genes indicated enrichment in pathways related to signaling and neurodevelopment (FDR < 0.05). C Correlation between variant allele fraction (VAF) and CpG methylation at <t>cg04569152.</t> Functional validation using HEK293T cell line editing and pyrosequencing demonstrated a significant positive correlation between VAF of an mtDNA nonsense mutation (mt.9979 in MT-COX3) and methylation levels at cg04569152 ( p = 0.003 from a two-sided t -test). The mutation was introduced using the FusX TALE-based editing system (FusXTBE), and methylation was quantified by pyrosequencing. Linear correlation was assessed using Pearson’s method, supporting a potential epigenetic influence of mtDNA heteroplasmic variation on nuclear CpG methylation (see Supplementary Fig. ). D Integrative analysis of cg15233611( SETD1B ) illustrates its associations with mtDNA heteroplasmy burden, measured by the mitochondrial local constraint score sum (MSS), as well as with smoking, HDL cholesterol, and triglycerides, supported by methylation-trait associations and Mendelian randomization (MR). Pink circles with the positive sign (+) indicate a positive association, while blue circles with the negative sign (-) indicate a negative association. Association analyses were performed using linear regression, with significance assessed by two-sided t -tests for regression coefficients. Mendelian randomization (MR) analyses used the inverse-variance weighted (IVW) method, with significance assessed by two-sided Wald z-tests.
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A A total of 370 genes annotated to the heteroplasmy-associated CpGs were analyzed using DAVID, a comprehensive tool for functional annotation, disease association, and Gene Ontology (GO) analysis. Enrichment was assessed using DAVID’s modified Fisher’s exact test (EASE score), a two-sided test, detecting both over- and under-representation of terms relative to the background set. Enrichment analysis using the Genetic Association Database (GAD) revealed that these genes are enriched in metabolic traits and processes related to multicellular organization (a false discovery rate, FDR < 0.05). B GO biological pathway analysis of these 370 genes indicated enrichment in pathways related to signaling and neurodevelopment (FDR < 0.05). C Correlation between variant allele fraction (VAF) and CpG methylation at <t>cg04569152.</t> Functional validation using HEK293T cell line editing and pyrosequencing demonstrated a significant positive correlation between VAF of an mtDNA nonsense mutation (mt.9979 in MT-COX3) and methylation levels at cg04569152 ( p = 0.003 from a two-sided t -test). The mutation was introduced using the FusX TALE-based editing system (FusXTBE), and methylation was quantified by pyrosequencing. Linear correlation was assessed using Pearson’s method, supporting a potential epigenetic influence of mtDNA heteroplasmic variation on nuclear CpG methylation (see Supplementary Fig. ). D Integrative analysis of cg15233611( SETD1B ) illustrates its associations with mtDNA heteroplasmy burden, measured by the mitochondrial local constraint score sum (MSS), as well as with smoking, HDL cholesterol, and triglycerides, supported by methylation-trait associations and Mendelian randomization (MR). Pink circles with the positive sign (+) indicate a positive association, while blue circles with the negative sign (-) indicate a negative association. Association analyses were performed using linear regression, with significance assessed by two-sided t -tests for regression coefficients. Mendelian randomization (MR) analyses used the inverse-variance weighted (IVW) method, with significance assessed by two-sided Wald z-tests.
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Image Search Results


A A total of 370 genes annotated to the heteroplasmy-associated CpGs were analyzed using DAVID, a comprehensive tool for functional annotation, disease association, and Gene Ontology (GO) analysis. Enrichment was assessed using DAVID’s modified Fisher’s exact test (EASE score), a two-sided test, detecting both over- and under-representation of terms relative to the background set. Enrichment analysis using the Genetic Association Database (GAD) revealed that these genes are enriched in metabolic traits and processes related to multicellular organization (a false discovery rate, FDR < 0.05). B GO biological pathway analysis of these 370 genes indicated enrichment in pathways related to signaling and neurodevelopment (FDR < 0.05). C Correlation between variant allele fraction (VAF) and CpG methylation at cg04569152. Functional validation using HEK293T cell line editing and pyrosequencing demonstrated a significant positive correlation between VAF of an mtDNA nonsense mutation (mt.9979 in MT-COX3) and methylation levels at cg04569152 ( p = 0.003 from a two-sided t -test). The mutation was introduced using the FusX TALE-based editing system (FusXTBE), and methylation was quantified by pyrosequencing. Linear correlation was assessed using Pearson’s method, supporting a potential epigenetic influence of mtDNA heteroplasmic variation on nuclear CpG methylation (see Supplementary Fig. ). D Integrative analysis of cg15233611( SETD1B ) illustrates its associations with mtDNA heteroplasmy burden, measured by the mitochondrial local constraint score sum (MSS), as well as with smoking, HDL cholesterol, and triglycerides, supported by methylation-trait associations and Mendelian randomization (MR). Pink circles with the positive sign (+) indicate a positive association, while blue circles with the negative sign (-) indicate a negative association. Association analyses were performed using linear regression, with significance assessed by two-sided t -tests for regression coefficients. Mendelian randomization (MR) analyses used the inverse-variance weighted (IVW) method, with significance assessed by two-sided Wald z-tests.

Journal: Nature Communications

Article Title: Epigenome-wide association study of nuclear DNA methylation in relation to mitochondrial heteroplasmy

doi: 10.1038/s41467-025-65845-2

Figure Lengend Snippet: A A total of 370 genes annotated to the heteroplasmy-associated CpGs were analyzed using DAVID, a comprehensive tool for functional annotation, disease association, and Gene Ontology (GO) analysis. Enrichment was assessed using DAVID’s modified Fisher’s exact test (EASE score), a two-sided test, detecting both over- and under-representation of terms relative to the background set. Enrichment analysis using the Genetic Association Database (GAD) revealed that these genes are enriched in metabolic traits and processes related to multicellular organization (a false discovery rate, FDR < 0.05). B GO biological pathway analysis of these 370 genes indicated enrichment in pathways related to signaling and neurodevelopment (FDR < 0.05). C Correlation between variant allele fraction (VAF) and CpG methylation at cg04569152. Functional validation using HEK293T cell line editing and pyrosequencing demonstrated a significant positive correlation between VAF of an mtDNA nonsense mutation (mt.9979 in MT-COX3) and methylation levels at cg04569152 ( p = 0.003 from a two-sided t -test). The mutation was introduced using the FusX TALE-based editing system (FusXTBE), and methylation was quantified by pyrosequencing. Linear correlation was assessed using Pearson’s method, supporting a potential epigenetic influence of mtDNA heteroplasmic variation on nuclear CpG methylation (see Supplementary Fig. ). D Integrative analysis of cg15233611( SETD1B ) illustrates its associations with mtDNA heteroplasmy burden, measured by the mitochondrial local constraint score sum (MSS), as well as with smoking, HDL cholesterol, and triglycerides, supported by methylation-trait associations and Mendelian randomization (MR). Pink circles with the positive sign (+) indicate a positive association, while blue circles with the negative sign (-) indicate a negative association. Association analyses were performed using linear regression, with significance assessed by two-sided t -tests for regression coefficients. Mendelian randomization (MR) analyses used the inverse-variance weighted (IVW) method, with significance assessed by two-sided Wald z-tests.

Article Snippet: Functional validation using HEK293T cell line editing and pyrosequencing demonstrated a significant positive correlation between VAF of an mtDNA nonsense mutation (mt.9979 in MT-COX3) and methylation levels at cg04569152 ( p = 0.003 from a two-sided t -test).

Techniques: Functional Assay, Modification, Variant Assay, CpG Methylation Assay, Biomarker Discovery, Mutagenesis, Methylation