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INFINIUM Inc methylation epic 850 k
Methylation Epic 850 K, supplied by INFINIUM Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/450k+cpg+methylation+array/epic++850+k++array/pmc07231024-309-9-9
Average 90 stars, based on 1 article reviews
methylation epic 850 k - by Bioz Stars, 2026-11
90/100 stars

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Methylation:

Article Title: Exploring cross-tissue DNA methylation patterns: blood–brain CpGs as potential neurodegenerative disease biomarkers
Article Snippet: We identified 11,772 CpGs exclusive to the Infinium EPIC 850 K array (considered the most comprehensive), and an additional 5390 CpGs shared between the HumanMethylation450K and Infinium EPIC 850 K arrays and with concordant results in both analyses.

Article Title: Identification of methylation changes associated with positive and negative growth deviance in Gambian infants using a targeted methyl sequencing approach of genomic DNA
Article Snippet: Potentially confounding differences in cell‐type composition between cord blood groupings (high and low birthweight) and infant blood groupings (high and low birthweight and length for age) were, therefore, assessed using DMR regions within the capture DNA sequence dataset that overlap within a 200 base‐pair interval with the EPIC 850 k cord blood and Infinium HM450 k adult blood cell‐type‐specific CpG panels (see methods).

Article Title: Tissue of origin prediction for cancer of unknown primary using a targeted methylation sequencing panel
Article Snippet: When applied to an Infinium 450 K array dataset ( n = 1052) and an Infinium EPIC (850 K) array dataset ( n = 1925), MFCUP achieved an overall accuracy of 93.4% and 84.8%, respectively.

Article Title: The Epigenetic Role of Nutrition Among Children and Adolescents: A Systematic Literature Review
Article Snippet: Stevens et al. (2018) [ ] , RCT , Children with ADHD (n = 36) , Infinium Methylation EPIC 850 K , A formulation that included a mixture of vitamins, minerals, amino acids, and antioxidants , Methylation levels increased at 84% of the most significantly differentially methylated CpG sites; however, none remained significant after adjusting for genome-wide testing..

Article Title: DNA Methylation in the Diagnosis of Monogenic Diseases
Article Snippet: Genome-wide approaches based on the HumanMethylation 450 K and Infinium Methylation EPIC 850 K platforms allow us to investigate a higher number of imprinted DMRs and may increase the number of ImpDis cases scoring positive for MLID [ , ].

Article Title: Internalizing symptoms associate with the pace of epigenetic aging in childhood.
Article Snippet: Genome-wide DNA methylation was assessed with the Infinium EPIC (850 K) array and genotyping was performed using the Infinium Global Screening Array (see Supplementary information for details).

Formulation:

Article Title: Exploring cross-tissue DNA methylation patterns: blood–brain CpGs as potential neurodegenerative disease biomarkers
Article Snippet: We identified 11,772 CpGs exclusive to the Infinium EPIC 850 K array (considered the most comprehensive), and an additional 5390 CpGs shared between the HumanMethylation450K and Infinium EPIC 850 K arrays and with concordant results in both analyses.

Article Title: Identification of methylation changes associated with positive and negative growth deviance in Gambian infants using a targeted methyl sequencing approach of genomic DNA
Article Snippet: Potentially confounding differences in cell‐type composition between cord blood groupings (high and low birthweight) and infant blood groupings (high and low birthweight and length for age) were, therefore, assessed using DMR regions within the capture DNA sequence dataset that overlap within a 200 base‐pair interval with the EPIC 850 k cord blood and Infinium HM450 k adult blood cell‐type‐specific CpG panels (see methods).

Article Title: Tissue of origin prediction for cancer of unknown primary using a targeted methylation sequencing panel
Article Snippet: When applied to an Infinium 450 K array dataset ( n = 1052) and an Infinium EPIC (850 K) array dataset ( n = 1925), MFCUP achieved an overall accuracy of 93.4% and 84.8%, respectively.

Article Title: The Epigenetic Role of Nutrition Among Children and Adolescents: A Systematic Literature Review
Article Snippet: Stevens et al. (2018) [ ] , RCT , Children with ADHD (n = 36) , Infinium Methylation EPIC 850 K , A formulation that included a mixture of vitamins, minerals, amino acids, and antioxidants , Methylation levels increased at 84% of the most significantly differentially methylated CpG sites; however, none remained significant after adjusting for genome-wide testing..

Article Title: DNA Methylation in the Diagnosis of Monogenic Diseases
Article Snippet: Genome-wide approaches based on the HumanMethylation 450 K and Infinium Methylation EPIC 850 K platforms allow us to investigate a higher number of imprinted DMRs and may increase the number of ImpDis cases scoring positive for MLID [ , ].

Article Title: Internalizing symptoms associate with the pace of epigenetic aging in childhood.
Article Snippet: Genome-wide DNA methylation was assessed with the Infinium EPIC (850 K) array and genotyping was performed using the Infinium Global Screening Array (see Supplementary information for details).

Genome Wide:

Article Title: Exploring cross-tissue DNA methylation patterns: blood–brain CpGs as potential neurodegenerative disease biomarkers
Article Snippet: We identified 11,772 CpGs exclusive to the Infinium EPIC 850 K array (considered the most comprehensive), and an additional 5390 CpGs shared between the HumanMethylation450K and Infinium EPIC 850 K arrays and with concordant results in both analyses.

Article Title: Identification of methylation changes associated with positive and negative growth deviance in Gambian infants using a targeted methyl sequencing approach of genomic DNA
Article Snippet: Potentially confounding differences in cell‐type composition between cord blood groupings (high and low birthweight) and infant blood groupings (high and low birthweight and length for age) were, therefore, assessed using DMR regions within the capture DNA sequence dataset that overlap within a 200 base‐pair interval with the EPIC 850 k cord blood and Infinium HM450 k adult blood cell‐type‐specific CpG panels (see methods).

Article Title: Tissue of origin prediction for cancer of unknown primary using a targeted methylation sequencing panel
Article Snippet: When applied to an Infinium 450 K array dataset ( n = 1052) and an Infinium EPIC (850 K) array dataset ( n = 1925), MFCUP achieved an overall accuracy of 93.4% and 84.8%, respectively.

Article Title: The Epigenetic Role of Nutrition Among Children and Adolescents: A Systematic Literature Review
Article Snippet: Stevens et al. (2018) [ ] , RCT , Children with ADHD (n = 36) , Infinium Methylation EPIC 850 K , A formulation that included a mixture of vitamins, minerals, amino acids, and antioxidants , Methylation levels increased at 84% of the most significantly differentially methylated CpG sites; however, none remained significant after adjusting for genome-wide testing..

Article Title: DNA Methylation in the Diagnosis of Monogenic Diseases
Article Snippet: Genome-wide approaches based on the HumanMethylation 450 K and Infinium Methylation EPIC 850 K platforms allow us to investigate a higher number of imprinted DMRs and may increase the number of ImpDis cases scoring positive for MLID [ , ].

Article Title: Internalizing symptoms associate with the pace of epigenetic aging in childhood.
Article Snippet: Genome-wide DNA methylation was assessed with the Infinium EPIC (850 K) array and genotyping was performed using the Infinium Global Screening Array (see Supplementary information for details).

Western Blot:

Article Title: Exploring cross-tissue DNA methylation patterns: blood–brain CpGs as potential neurodegenerative disease biomarkers
Article Snippet: We identified 11,772 CpGs exclusive to the Infinium EPIC 850 K array (considered the most comprehensive), and an additional 5390 CpGs shared between the HumanMethylation450K and Infinium EPIC 850 K arrays and with concordant results in both analyses.

Article Title: Identification of methylation changes associated with positive and negative growth deviance in Gambian infants using a targeted methyl sequencing approach of genomic DNA
Article Snippet: Potentially confounding differences in cell‐type composition between cord blood groupings (high and low birthweight) and infant blood groupings (high and low birthweight and length for age) were, therefore, assessed using DMR regions within the capture DNA sequence dataset that overlap within a 200 base‐pair interval with the EPIC 850 k cord blood and Infinium HM450 k adult blood cell‐type‐specific CpG panels (see methods).

Article Title: Tissue of origin prediction for cancer of unknown primary using a targeted methylation sequencing panel
Article Snippet: When applied to an Infinium 450 K array dataset ( n = 1052) and an Infinium EPIC (850 K) array dataset ( n = 1925), MFCUP achieved an overall accuracy of 93.4% and 84.8%, respectively.

Article Title: The Epigenetic Role of Nutrition Among Children and Adolescents: A Systematic Literature Review
Article Snippet: Stevens et al. (2018) [ ] , RCT , Children with ADHD (n = 36) , Infinium Methylation EPIC 850 K , A formulation that included a mixture of vitamins, minerals, amino acids, and antioxidants , Methylation levels increased at 84% of the most significantly differentially methylated CpG sites; however, none remained significant after adjusting for genome-wide testing..

Article Title: DNA Methylation in the Diagnosis of Monogenic Diseases
Article Snippet: Genome-wide approaches based on the HumanMethylation 450 K and Infinium Methylation EPIC 850 K platforms allow us to investigate a higher number of imprinted DMRs and may increase the number of ImpDis cases scoring positive for MLID [ , ].

Article Title: Internalizing symptoms associate with the pace of epigenetic aging in childhood.
Article Snippet: Genome-wide DNA methylation was assessed with the Infinium EPIC (850 K) array and genotyping was performed using the Infinium Global Screening Array (see Supplementary information for details).

DNA Methylation Assay:

Article Title: Exploring cross-tissue DNA methylation patterns: blood–brain CpGs as potential neurodegenerative disease biomarkers
Article Snippet: We identified 11,772 CpGs exclusive to the Infinium EPIC 850 K array (considered the most comprehensive), and an additional 5390 CpGs shared between the HumanMethylation450K and Infinium EPIC 850 K arrays and with concordant results in both analyses.

Article Title: Identification of methylation changes associated with positive and negative growth deviance in Gambian infants using a targeted methyl sequencing approach of genomic DNA
Article Snippet: Potentially confounding differences in cell‐type composition between cord blood groupings (high and low birthweight) and infant blood groupings (high and low birthweight and length for age) were, therefore, assessed using DMR regions within the capture DNA sequence dataset that overlap within a 200 base‐pair interval with the EPIC 850 k cord blood and Infinium HM450 k adult blood cell‐type‐specific CpG panels (see methods).

Article Title: Tissue of origin prediction for cancer of unknown primary using a targeted methylation sequencing panel
Article Snippet: When applied to an Infinium 450 K array dataset ( n = 1052) and an Infinium EPIC (850 K) array dataset ( n = 1925), MFCUP achieved an overall accuracy of 93.4% and 84.8%, respectively.

Article Title: The Epigenetic Role of Nutrition Among Children and Adolescents: A Systematic Literature Review
Article Snippet: Stevens et al. (2018) [ ] , RCT , Children with ADHD (n = 36) , Infinium Methylation EPIC 850 K , A formulation that included a mixture of vitamins, minerals, amino acids, and antioxidants , Methylation levels increased at 84% of the most significantly differentially methylated CpG sites; however, none remained significant after adjusting for genome-wide testing..

Article Title: DNA Methylation in the Diagnosis of Monogenic Diseases
Article Snippet: Genome-wide approaches based on the HumanMethylation 450 K and Infinium Methylation EPIC 850 K platforms allow us to investigate a higher number of imprinted DMRs and may increase the number of ImpDis cases scoring positive for MLID [ , ].

Article Title: Internalizing symptoms associate with the pace of epigenetic aging in childhood.
Article Snippet: Genome-wide DNA methylation was assessed with the Infinium EPIC (850 K) array and genotyping was performed using the Infinium Global Screening Array (see Supplementary information for details).

Multiplex Assay:

Article Title: Exploring cross-tissue DNA methylation patterns: blood–brain CpGs as potential neurodegenerative disease biomarkers
Article Snippet: We identified 11,772 CpGs exclusive to the Infinium EPIC 850 K array (considered the most comprehensive), and an additional 5390 CpGs shared between the HumanMethylation450K and Infinium EPIC 850 K arrays and with concordant results in both analyses.

Article Title: Identification of methylation changes associated with positive and negative growth deviance in Gambian infants using a targeted methyl sequencing approach of genomic DNA
Article Snippet: Potentially confounding differences in cell‐type composition between cord blood groupings (high and low birthweight) and infant blood groupings (high and low birthweight and length for age) were, therefore, assessed using DMR regions within the capture DNA sequence dataset that overlap within a 200 base‐pair interval with the EPIC 850 k cord blood and Infinium HM450 k adult blood cell‐type‐specific CpG panels (see methods).

Article Title: Tissue of origin prediction for cancer of unknown primary using a targeted methylation sequencing panel
Article Snippet: When applied to an Infinium 450 K array dataset ( n = 1052) and an Infinium EPIC (850 K) array dataset ( n = 1925), MFCUP achieved an overall accuracy of 93.4% and 84.8%, respectively.

Article Title: The Epigenetic Role of Nutrition Among Children and Adolescents: A Systematic Literature Review
Article Snippet: Stevens et al. (2018) [ ] , RCT , Children with ADHD (n = 36) , Infinium Methylation EPIC 850 K , A formulation that included a mixture of vitamins, minerals, amino acids, and antioxidants , Methylation levels increased at 84% of the most significantly differentially methylated CpG sites; however, none remained significant after adjusting for genome-wide testing..

Article Title: DNA Methylation in the Diagnosis of Monogenic Diseases
Article Snippet: Genome-wide approaches based on the HumanMethylation 450 K and Infinium Methylation EPIC 850 K platforms allow us to investigate a higher number of imprinted DMRs and may increase the number of ImpDis cases scoring positive for MLID [ , ].

Article Title: Internalizing symptoms associate with the pace of epigenetic aging in childhood.
Article Snippet: Genome-wide DNA methylation was assessed with the Infinium EPIC (850 K) array and genotyping was performed using the Infinium Global Screening Array (see Supplementary information for details).

Mass Spectrometry:

Article Title: Exploring cross-tissue DNA methylation patterns: blood–brain CpGs as potential neurodegenerative disease biomarkers
Article Snippet: We identified 11,772 CpGs exclusive to the Infinium EPIC 850 K array (considered the most comprehensive), and an additional 5390 CpGs shared between the HumanMethylation450K and Infinium EPIC 850 K arrays and with concordant results in both analyses.

Article Title: Identification of methylation changes associated with positive and negative growth deviance in Gambian infants using a targeted methyl sequencing approach of genomic DNA
Article Snippet: Potentially confounding differences in cell‐type composition between cord blood groupings (high and low birthweight) and infant blood groupings (high and low birthweight and length for age) were, therefore, assessed using DMR regions within the capture DNA sequence dataset that overlap within a 200 base‐pair interval with the EPIC 850 k cord blood and Infinium HM450 k adult blood cell‐type‐specific CpG panels (see methods).

Article Title: Tissue of origin prediction for cancer of unknown primary using a targeted methylation sequencing panel
Article Snippet: When applied to an Infinium 450 K array dataset ( n = 1052) and an Infinium EPIC (850 K) array dataset ( n = 1925), MFCUP achieved an overall accuracy of 93.4% and 84.8%, respectively.

Article Title: The Epigenetic Role of Nutrition Among Children and Adolescents: A Systematic Literature Review
Article Snippet: Stevens et al. (2018) [ ] , RCT , Children with ADHD (n = 36) , Infinium Methylation EPIC 850 K , A formulation that included a mixture of vitamins, minerals, amino acids, and antioxidants , Methylation levels increased at 84% of the most significantly differentially methylated CpG sites; however, none remained significant after adjusting for genome-wide testing..

Article Title: DNA Methylation in the Diagnosis of Monogenic Diseases
Article Snippet: Genome-wide approaches based on the HumanMethylation 450 K and Infinium Methylation EPIC 850 K platforms allow us to investigate a higher number of imprinted DMRs and may increase the number of ImpDis cases scoring positive for MLID [ , ].

Article Title: Internalizing symptoms associate with the pace of epigenetic aging in childhood.
Article Snippet: Genome-wide DNA methylation was assessed with the Infinium EPIC (850 K) array and genotyping was performed using the Infinium Global Screening Array (see Supplementary information for details).

Expressing:

Article Title: Exploring cross-tissue DNA methylation patterns: blood–brain CpGs as potential neurodegenerative disease biomarkers
Article Snippet: We identified 11,772 CpGs exclusive to the Infinium EPIC 850 K array (considered the most comprehensive), and an additional 5390 CpGs shared between the HumanMethylation450K and Infinium EPIC 850 K arrays and with concordant results in both analyses.

Article Title: Identification of methylation changes associated with positive and negative growth deviance in Gambian infants using a targeted methyl sequencing approach of genomic DNA
Article Snippet: Potentially confounding differences in cell‐type composition between cord blood groupings (high and low birthweight) and infant blood groupings (high and low birthweight and length for age) were, therefore, assessed using DMR regions within the capture DNA sequence dataset that overlap within a 200 base‐pair interval with the EPIC 850 k cord blood and Infinium HM450 k adult blood cell‐type‐specific CpG panels (see methods).

Article Title: Tissue of origin prediction for cancer of unknown primary using a targeted methylation sequencing panel
Article Snippet: When applied to an Infinium 450 K array dataset ( n = 1052) and an Infinium EPIC (850 K) array dataset ( n = 1925), MFCUP achieved an overall accuracy of 93.4% and 84.8%, respectively.

Article Title: The Epigenetic Role of Nutrition Among Children and Adolescents: A Systematic Literature Review
Article Snippet: Stevens et al. (2018) [ ] , RCT , Children with ADHD (n = 36) , Infinium Methylation EPIC 850 K , A formulation that included a mixture of vitamins, minerals, amino acids, and antioxidants , Methylation levels increased at 84% of the most significantly differentially methylated CpG sites; however, none remained significant after adjusting for genome-wide testing..

Article Title: DNA Methylation in the Diagnosis of Monogenic Diseases
Article Snippet: Genome-wide approaches based on the HumanMethylation 450 K and Infinium Methylation EPIC 850 K platforms allow us to investigate a higher number of imprinted DMRs and may increase the number of ImpDis cases scoring positive for MLID [ , ].

Article Title: Internalizing symptoms associate with the pace of epigenetic aging in childhood.
Article Snippet: Genome-wide DNA methylation was assessed with the Infinium EPIC (850 K) array and genotyping was performed using the Infinium Global Screening Array (see Supplementary information for details).

Metabolic Labelling:

Article Title: Exploring cross-tissue DNA methylation patterns: blood–brain CpGs as potential neurodegenerative disease biomarkers
Article Snippet: We identified 11,772 CpGs exclusive to the Infinium EPIC 850 K array (considered the most comprehensive), and an additional 5390 CpGs shared between the HumanMethylation450K and Infinium EPIC 850 K arrays and with concordant results in both analyses.

Article Title: Identification of methylation changes associated with positive and negative growth deviance in Gambian infants using a targeted methyl sequencing approach of genomic DNA
Article Snippet: Potentially confounding differences in cell‐type composition between cord blood groupings (high and low birthweight) and infant blood groupings (high and low birthweight and length for age) were, therefore, assessed using DMR regions within the capture DNA sequence dataset that overlap within a 200 base‐pair interval with the EPIC 850 k cord blood and Infinium HM450 k adult blood cell‐type‐specific CpG panels (see methods).

Article Title: Tissue of origin prediction for cancer of unknown primary using a targeted methylation sequencing panel
Article Snippet: When applied to an Infinium 450 K array dataset ( n = 1052) and an Infinium EPIC (850 K) array dataset ( n = 1925), MFCUP achieved an overall accuracy of 93.4% and 84.8%, respectively.

Article Title: The Epigenetic Role of Nutrition Among Children and Adolescents: A Systematic Literature Review
Article Snippet: Stevens et al. (2018) [ ] , RCT , Children with ADHD (n = 36) , Infinium Methylation EPIC 850 K , A formulation that included a mixture of vitamins, minerals, amino acids, and antioxidants , Methylation levels increased at 84% of the most significantly differentially methylated CpG sites; however, none remained significant after adjusting for genome-wide testing..

Article Title: DNA Methylation in the Diagnosis of Monogenic Diseases
Article Snippet: Genome-wide approaches based on the HumanMethylation 450 K and Infinium Methylation EPIC 850 K platforms allow us to investigate a higher number of imprinted DMRs and may increase the number of ImpDis cases scoring positive for MLID [ , ].

Article Title: Internalizing symptoms associate with the pace of epigenetic aging in childhood.
Article Snippet: Genome-wide DNA methylation was assessed with the Infinium EPIC (850 K) array and genotyping was performed using the Infinium Global Screening Array (see Supplementary information for details).

Activity Assay:

Article Title: Exploring cross-tissue DNA methylation patterns: blood–brain CpGs as potential neurodegenerative disease biomarkers
Article Snippet: We identified 11,772 CpGs exclusive to the Infinium EPIC 850 K array (considered the most comprehensive), and an additional 5390 CpGs shared between the HumanMethylation450K and Infinium EPIC 850 K arrays and with concordant results in both analyses.

Article Title: Identification of methylation changes associated with positive and negative growth deviance in Gambian infants using a targeted methyl sequencing approach of genomic DNA
Article Snippet: Potentially confounding differences in cell‐type composition between cord blood groupings (high and low birthweight) and infant blood groupings (high and low birthweight and length for age) were, therefore, assessed using DMR regions within the capture DNA sequence dataset that overlap within a 200 base‐pair interval with the EPIC 850 k cord blood and Infinium HM450 k adult blood cell‐type‐specific CpG panels (see methods).

Article Title: Tissue of origin prediction for cancer of unknown primary using a targeted methylation sequencing panel
Article Snippet: When applied to an Infinium 450 K array dataset ( n = 1052) and an Infinium EPIC (850 K) array dataset ( n = 1925), MFCUP achieved an overall accuracy of 93.4% and 84.8%, respectively.

Article Title: The Epigenetic Role of Nutrition Among Children and Adolescents: A Systematic Literature Review
Article Snippet: Stevens et al. (2018) [ ] , RCT , Children with ADHD (n = 36) , Infinium Methylation EPIC 850 K , A formulation that included a mixture of vitamins, minerals, amino acids, and antioxidants , Methylation levels increased at 84% of the most significantly differentially methylated CpG sites; however, none remained significant after adjusting for genome-wide testing..

Article Title: DNA Methylation in the Diagnosis of Monogenic Diseases
Article Snippet: Genome-wide approaches based on the HumanMethylation 450 K and Infinium Methylation EPIC 850 K platforms allow us to investigate a higher number of imprinted DMRs and may increase the number of ImpDis cases scoring positive for MLID [ , ].

Article Title: Internalizing symptoms associate with the pace of epigenetic aging in childhood.
Article Snippet: Genome-wide DNA methylation was assessed with the Infinium EPIC (850 K) array and genotyping was performed using the Infinium Global Screening Array (see Supplementary information for details).

Sequencing:

Article Title: Exploring cross-tissue DNA methylation patterns: blood–brain CpGs as potential neurodegenerative disease biomarkers
Article Snippet: We identified 11,772 CpGs exclusive to the Infinium EPIC 850 K array (considered the most comprehensive), and an additional 5390 CpGs shared between the HumanMethylation450K and Infinium EPIC 850 K arrays and with concordant results in both analyses.

Article Title: Identification of methylation changes associated with positive and negative growth deviance in Gambian infants using a targeted methyl sequencing approach of genomic DNA
Article Snippet: Potentially confounding differences in cell‐type composition between cord blood groupings (high and low birthweight) and infant blood groupings (high and low birthweight and length for age) were, therefore, assessed using DMR regions within the capture DNA sequence dataset that overlap within a 200 base‐pair interval with the EPIC 850 k cord blood and Infinium HM450 k adult blood cell‐type‐specific CpG panels (see methods).

Article Title: Tissue of origin prediction for cancer of unknown primary using a targeted methylation sequencing panel
Article Snippet: When applied to an Infinium 450 K array dataset ( n = 1052) and an Infinium EPIC (850 K) array dataset ( n = 1925), MFCUP achieved an overall accuracy of 93.4% and 84.8%, respectively.

Article Title: The Epigenetic Role of Nutrition Among Children and Adolescents: A Systematic Literature Review
Article Snippet: Stevens et al. (2018) [ ] , RCT , Children with ADHD (n = 36) , Infinium Methylation EPIC 850 K , A formulation that included a mixture of vitamins, minerals, amino acids, and antioxidants , Methylation levels increased at 84% of the most significantly differentially methylated CpG sites; however, none remained significant after adjusting for genome-wide testing..

Article Title: DNA Methylation in the Diagnosis of Monogenic Diseases
Article Snippet: Genome-wide approaches based on the HumanMethylation 450 K and Infinium Methylation EPIC 850 K platforms allow us to investigate a higher number of imprinted DMRs and may increase the number of ImpDis cases scoring positive for MLID [ , ].

Article Title: Internalizing symptoms associate with the pace of epigenetic aging in childhood.
Article Snippet: Genome-wide DNA methylation was assessed with the Infinium EPIC (850 K) array and genotyping was performed using the Infinium Global Screening Array (see Supplementary information for details).

DNA Extraction:

Article Title: Exploring cross-tissue DNA methylation patterns: blood–brain CpGs as potential neurodegenerative disease biomarkers
Article Snippet: We identified 11,772 CpGs exclusive to the Infinium EPIC 850 K array (considered the most comprehensive), and an additional 5390 CpGs shared between the HumanMethylation450K and Infinium EPIC 850 K arrays and with concordant results in both analyses.

Article Title: Identification of methylation changes associated with positive and negative growth deviance in Gambian infants using a targeted methyl sequencing approach of genomic DNA
Article Snippet: Potentially confounding differences in cell‐type composition between cord blood groupings (high and low birthweight) and infant blood groupings (high and low birthweight and length for age) were, therefore, assessed using DMR regions within the capture DNA sequence dataset that overlap within a 200 base‐pair interval with the EPIC 850 k cord blood and Infinium HM450 k adult blood cell‐type‐specific CpG panels (see methods).

Article Title: Tissue of origin prediction for cancer of unknown primary using a targeted methylation sequencing panel
Article Snippet: When applied to an Infinium 450 K array dataset ( n = 1052) and an Infinium EPIC (850 K) array dataset ( n = 1925), MFCUP achieved an overall accuracy of 93.4% and 84.8%, respectively.

Article Title: The Epigenetic Role of Nutrition Among Children and Adolescents: A Systematic Literature Review
Article Snippet: Stevens et al. (2018) [ ] , RCT , Children with ADHD (n = 36) , Infinium Methylation EPIC 850 K , A formulation that included a mixture of vitamins, minerals, amino acids, and antioxidants , Methylation levels increased at 84% of the most significantly differentially methylated CpG sites; however, none remained significant after adjusting for genome-wide testing..

Article Title: DNA Methylation in the Diagnosis of Monogenic Diseases
Article Snippet: Genome-wide approaches based on the HumanMethylation 450 K and Infinium Methylation EPIC 850 K platforms allow us to investigate a higher number of imprinted DMRs and may increase the number of ImpDis cases scoring positive for MLID [ , ].

Article Title: Internalizing symptoms associate with the pace of epigenetic aging in childhood.
Article Snippet: Genome-wide DNA methylation was assessed with the Infinium EPIC (850 K) array and genotyping was performed using the Infinium Global Screening Array (see Supplementary information for details).

Derivative Assay:

Article Title: Exploring cross-tissue DNA methylation patterns: blood–brain CpGs as potential neurodegenerative disease biomarkers
Article Snippet: We identified 11,772 CpGs exclusive to the Infinium EPIC 850 K array (considered the most comprehensive), and an additional 5390 CpGs shared between the HumanMethylation450K and Infinium EPIC 850 K arrays and with concordant results in both analyses.

Article Title: Identification of methylation changes associated with positive and negative growth deviance in Gambian infants using a targeted methyl sequencing approach of genomic DNA
Article Snippet: Potentially confounding differences in cell‐type composition between cord blood groupings (high and low birthweight) and infant blood groupings (high and low birthweight and length for age) were, therefore, assessed using DMR regions within the capture DNA sequence dataset that overlap within a 200 base‐pair interval with the EPIC 850 k cord blood and Infinium HM450 k adult blood cell‐type‐specific CpG panels (see methods).

Article Title: Tissue of origin prediction for cancer of unknown primary using a targeted methylation sequencing panel
Article Snippet: When applied to an Infinium 450 K array dataset ( n = 1052) and an Infinium EPIC (850 K) array dataset ( n = 1925), MFCUP achieved an overall accuracy of 93.4% and 84.8%, respectively.

Article Title: The Epigenetic Role of Nutrition Among Children and Adolescents: A Systematic Literature Review
Article Snippet: Stevens et al. (2018) [ ] , RCT , Children with ADHD (n = 36) , Infinium Methylation EPIC 850 K , A formulation that included a mixture of vitamins, minerals, amino acids, and antioxidants , Methylation levels increased at 84% of the most significantly differentially methylated CpG sites; however, none remained significant after adjusting for genome-wide testing..

Article Title: DNA Methylation in the Diagnosis of Monogenic Diseases
Article Snippet: Genome-wide approaches based on the HumanMethylation 450 K and Infinium Methylation EPIC 850 K platforms allow us to investigate a higher number of imprinted DMRs and may increase the number of ImpDis cases scoring positive for MLID [ , ].

Article Title: Internalizing symptoms associate with the pace of epigenetic aging in childhood.
Article Snippet: Genome-wide DNA methylation was assessed with the Infinium EPIC (850 K) array and genotyping was performed using the Infinium Global Screening Array (see Supplementary information for details).



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(A) The features of AmpliconDesign were compared to six previously published web servers supporting the design of primer pairs for BT-DNA (supported = green box; not supported = red box; partially supported = yellow box; no result = grey box). (B) The speed of primer design for 20 imprinted regions was measured and the speed improvement factor (times speed improvement compared to the slowest tool) plotted. (C) Primer pairs were designed with AmpliconDesign and default parameters for 600 promoter <t>CpG</t> sites present on the Illumina <t>EPIC</t> array in different CGI contexts (open sea, CGI shelf, CGI shore & CGI). The percentage of CpG sites for which primers could be designed on either one or both DNA strands was plotted.
450k & Epic Methylation Beadchip Array Cpg Identifiers, supplied by Illumina Inc, 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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INFINIUM Inc 450k cpg methylation raw array data
(A) The features of AmpliconDesign were compared to six previously published web servers supporting the design of primer pairs for BT-DNA (supported = green box; not supported = red box; partially supported = yellow box; no result = grey box). (B) The speed of primer design for 20 imprinted regions was measured and the speed improvement factor (times speed improvement compared to the slowest tool) plotted. (C) Primer pairs were designed with AmpliconDesign and default parameters for 600 promoter <t>CpG</t> sites present on the Illumina <t>EPIC</t> array in different CGI contexts (open sea, CGI shelf, CGI shore & CGI). The percentage of CpG sites for which primers could be designed on either one or both DNA strands was plotted.
450k Cpg Methylation Raw Array Data, supplied by INFINIUM Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/450k+cpg+methylation+array/infinium+humanmethylation450+beadchip/pmc07058090-459-14-13
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<t>Methylation</t> status of the ASC/TMS1/PYCARD and MyD88 in the tumor and adjacent non-malignant tissues. (A) Correlation analysis of overall promoter methylation in non-tumor vs. tumor tissue from NSCLC patients. Each data point represents the mean percentage methylation (%) across the tested region of 11 tested <t>CpG</t> sites in the ASC/TMS1/PYCARD gene promotor (left panel) and 10 CpG sites in the MyD88 promoter (right panel). (B) Methylation status of individual CpG sites in the ASC/TMS1/PYCARD and MyD88 gene promoters. Each bar represents mean percentage methylation (%) of individual CpG sites. A grey bar represents healthy tissues and dark bars tumor tissues. The left panel corresponds to ASC/TMS1/PYCARD and right panel to MyD88. For (A) and (B) data were analysed using the paired t-test; P≤0.05 is considered significant. Data are presented as mean ± SEM. **, P≤0.01; ***, P≤0.001. (C) ROC analysis. The panels show the ROC analysis for ASC/TMS1/PYCARD CpG11 (panel 1) and MyD88 CpG1, 2 and 4 (panels 2, 3 and 4) to differentiate tumor from non-tumor tissue.
450k Whole Methylation Array Cpg Probes, supplied by INFINIUM Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/450k+cpg+methylation+array/infinium+humanmethylation450+beadchip/pmc06976376-664-81-80
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INFINIUM Inc cpg sites mapped on the infinium 450k methylation array
<t>Methylation</t> status of the ASC/TMS1/PYCARD and MyD88 in the tumor and adjacent non-malignant tissues. (A) Correlation analysis of overall promoter methylation in non-tumor vs. tumor tissue from NSCLC patients. Each data point represents the mean percentage methylation (%) across the tested region of 11 tested <t>CpG</t> sites in the ASC/TMS1/PYCARD gene promotor (left panel) and 10 CpG sites in the MyD88 promoter (right panel). (B) Methylation status of individual CpG sites in the ASC/TMS1/PYCARD and MyD88 gene promoters. Each bar represents mean percentage methylation (%) of individual CpG sites. A grey bar represents healthy tissues and dark bars tumor tissues. The left panel corresponds to ASC/TMS1/PYCARD and right panel to MyD88. For (A) and (B) data were analysed using the paired t-test; P≤0.05 is considered significant. Data are presented as mean ± SEM. **, P≤0.01; ***, P≤0.001. (C) ROC analysis. The panels show the ROC analysis for ASC/TMS1/PYCARD CpG11 (panel 1) and MyD88 CpG1, 2 and 4 (panels 2, 3 and 4) to differentiate tumor from non-tumor tissue.
Cpg Sites Mapped On The Infinium 450k Methylation Array, supplied by INFINIUM Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/450k+cpg+methylation+array/infinium+humanmethylation450+beadchip/pmc05823368-157-24-29
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(A) The features of AmpliconDesign were compared to six previously published web servers supporting the design of primer pairs for BT-DNA (supported = green box; not supported = red box; partially supported = yellow box; no result = grey box). (B) The speed of primer design for 20 imprinted regions was measured and the speed improvement factor (times speed improvement compared to the slowest tool) plotted. (C) Primer pairs were designed with AmpliconDesign and default parameters for 600 promoter CpG sites present on the Illumina EPIC array in different CGI contexts (open sea, CGI shelf, CGI shore & CGI). The percentage of CpG sites for which primers could be designed on either one or both DNA strands was plotted.

Journal: bioRxiv

Article Title: AmpliconDesign – An interactive web server for the design of high-throughput targeted DNA methylation assays

doi: 10.1101/2020.05.23.043448

Figure Lengend Snippet: (A) The features of AmpliconDesign were compared to six previously published web servers supporting the design of primer pairs for BT-DNA (supported = green box; not supported = red box; partially supported = yellow box; no result = grey box). (B) The speed of primer design for 20 imprinted regions was measured and the speed improvement factor (times speed improvement compared to the slowest tool) plotted. (C) Primer pairs were designed with AmpliconDesign and default parameters for 600 promoter CpG sites present on the Illumina EPIC array in different CGI contexts (open sea, CGI shelf, CGI shore & CGI). The percentage of CpG sites for which primers could be designed on either one or both DNA strands was plotted.

Article Snippet: For ampBS-seq there are two additional input formats possible: a) Illumina 450k & EPIC Methylation BeadChip array CpG identifiers and b) FASTA files to enable primer design from non-supported organisms.

Techniques:

Methylation status of the ASC/TMS1/PYCARD and MyD88 in the tumor and adjacent non-malignant tissues. (A) Correlation analysis of overall promoter methylation in non-tumor vs. tumor tissue from NSCLC patients. Each data point represents the mean percentage methylation (%) across the tested region of 11 tested CpG sites in the ASC/TMS1/PYCARD gene promotor (left panel) and 10 CpG sites in the MyD88 promoter (right panel). (B) Methylation status of individual CpG sites in the ASC/TMS1/PYCARD and MyD88 gene promoters. Each bar represents mean percentage methylation (%) of individual CpG sites. A grey bar represents healthy tissues and dark bars tumor tissues. The left panel corresponds to ASC/TMS1/PYCARD and right panel to MyD88. For (A) and (B) data were analysed using the paired t-test; P≤0.05 is considered significant. Data are presented as mean ± SEM. **, P≤0.01; ***, P≤0.001. (C) ROC analysis. The panels show the ROC analysis for ASC/TMS1/PYCARD CpG11 (panel 1) and MyD88 CpG1, 2 and 4 (panels 2, 3 and 4) to differentiate tumor from non-tumor tissue.

Journal: Translational Lung Cancer Research

Article Title: Promoter methylation status of ASC/TMS1/PYCARD is associated with decreased overall survival and TNM status in patients with early stage non-small cell lung cancer (NSCLC)

doi: 10.21037/tlcr.2019.12.08

Figure Lengend Snippet: Methylation status of the ASC/TMS1/PYCARD and MyD88 in the tumor and adjacent non-malignant tissues. (A) Correlation analysis of overall promoter methylation in non-tumor vs. tumor tissue from NSCLC patients. Each data point represents the mean percentage methylation (%) across the tested region of 11 tested CpG sites in the ASC/TMS1/PYCARD gene promotor (left panel) and 10 CpG sites in the MyD88 promoter (right panel). (B) Methylation status of individual CpG sites in the ASC/TMS1/PYCARD and MyD88 gene promoters. Each bar represents mean percentage methylation (%) of individual CpG sites. A grey bar represents healthy tissues and dark bars tumor tissues. The left panel corresponds to ASC/TMS1/PYCARD and right panel to MyD88. For (A) and (B) data were analysed using the paired t-test; P≤0.05 is considered significant. Data are presented as mean ± SEM. **, P≤0.01; ***, P≤0.001. (C) ROC analysis. The panels show the ROC analysis for ASC/TMS1/PYCARD CpG11 (panel 1) and MyD88 CpG1, 2 and 4 (panels 2, 3 and 4) to differentiate tumor from non-tumor tissue.

Article Snippet: Our study is mainly a demonstration of the concept that highlights the utility of the methylation status of certain genes that can be translated into the clinical practice as reliable diagnostic markers, when differentiation of tumor and non-tumor tissues is difficult, and as potential predictors for different clinical outcome in the NSCLC patients. fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 Genomic position of the ASC/TMS1/PYCARD gene with locations of pyrosequencing regions and Infinium 450K whole methylation array CPG probes visualized in USCS Genome browser.

Techniques: Methylation

Statistically significant associations of ASC/TMS1/PYCARD and MYD88 methylation levels and clinical variables. (A) Methylation levels of specific ASC/TMS1/PYCARD CpG sites significantly associated with T-, N- and TNM-stage; (B) methylation levels of two MyD88 CpG sites are significantly associated with T-stage. Black rectangle represents mean value and bars represent ± SEM. *, P≤0.05; **, P≤0.01; ***, P≤0.001.

Journal: Translational Lung Cancer Research

Article Title: Promoter methylation status of ASC/TMS1/PYCARD is associated with decreased overall survival and TNM status in patients with early stage non-small cell lung cancer (NSCLC)

doi: 10.21037/tlcr.2019.12.08

Figure Lengend Snippet: Statistically significant associations of ASC/TMS1/PYCARD and MYD88 methylation levels and clinical variables. (A) Methylation levels of specific ASC/TMS1/PYCARD CpG sites significantly associated with T-, N- and TNM-stage; (B) methylation levels of two MyD88 CpG sites are significantly associated with T-stage. Black rectangle represents mean value and bars represent ± SEM. *, P≤0.05; **, P≤0.01; ***, P≤0.001.

Article Snippet: Our study is mainly a demonstration of the concept that highlights the utility of the methylation status of certain genes that can be translated into the clinical practice as reliable diagnostic markers, when differentiation of tumor and non-tumor tissues is difficult, and as potential predictors for different clinical outcome in the NSCLC patients. fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 Genomic position of the ASC/TMS1/PYCARD gene with locations of pyrosequencing regions and Infinium 450K whole methylation array CPG probes visualized in USCS Genome browser.

Techniques: Methylation

Impact of ASC/TMS1/PYCARD and MYD88  methylation  levels on overall survival of patients with lung cancer

Journal: Translational Lung Cancer Research

Article Title: Promoter methylation status of ASC/TMS1/PYCARD is associated with decreased overall survival and TNM status in patients with early stage non-small cell lung cancer (NSCLC)

doi: 10.21037/tlcr.2019.12.08

Figure Lengend Snippet: Impact of ASC/TMS1/PYCARD and MYD88 methylation levels on overall survival of patients with lung cancer

Article Snippet: Our study is mainly a demonstration of the concept that highlights the utility of the methylation status of certain genes that can be translated into the clinical practice as reliable diagnostic markers, when differentiation of tumor and non-tumor tissues is difficult, and as potential predictors for different clinical outcome in the NSCLC patients. fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 Genomic position of the ASC/TMS1/PYCARD gene with locations of pyrosequencing regions and Infinium 450K whole methylation array CPG probes visualized in USCS Genome browser.

Techniques: Methylation

Clinicopathologic characteristics and methylation of ASC/TMS1/PYCARD CpG sites with significant impact on overall survival in patients with lung cancer: (A) N-stage; (B) TNM-stage; (C) ASC/TMS1/PYCARD CpG4 in non-malignant tissue; (D) ASC/TMS1 CpG4 in tumor tissue; (E) ASC/TMS1/PYCARD CpG7 in non-malignant tissue. Tick marks indicate censored cases.

Journal: Translational Lung Cancer Research

Article Title: Promoter methylation status of ASC/TMS1/PYCARD is associated with decreased overall survival and TNM status in patients with early stage non-small cell lung cancer (NSCLC)

doi: 10.21037/tlcr.2019.12.08

Figure Lengend Snippet: Clinicopathologic characteristics and methylation of ASC/TMS1/PYCARD CpG sites with significant impact on overall survival in patients with lung cancer: (A) N-stage; (B) TNM-stage; (C) ASC/TMS1/PYCARD CpG4 in non-malignant tissue; (D) ASC/TMS1 CpG4 in tumor tissue; (E) ASC/TMS1/PYCARD CpG7 in non-malignant tissue. Tick marks indicate censored cases.

Article Snippet: Our study is mainly a demonstration of the concept that highlights the utility of the methylation status of certain genes that can be translated into the clinical practice as reliable diagnostic markers, when differentiation of tumor and non-tumor tissues is difficult, and as potential predictors for different clinical outcome in the NSCLC patients. fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 Genomic position of the ASC/TMS1/PYCARD gene with locations of pyrosequencing regions and Infinium 450K whole methylation array CPG probes visualized in USCS Genome browser.

Techniques: Methylation

Genomic position of the ASC/TMS1/PYCARD gene with locations of pyrosequencing regions and Infinium 450K whole methylation array CPG probes visualized in USCS Genome browser. CPG island is indicated in green while thin blue vertical line indicates CpG position assayed by both methods. Note that ASC/TMS1/PYCARD is transcribed in the opposite direction indicated by small arrows within the gene region.

Journal: Translational Lung Cancer Research

Article Title: Promoter methylation status of ASC/TMS1/PYCARD is associated with decreased overall survival and TNM status in patients with early stage non-small cell lung cancer (NSCLC)

doi: 10.21037/tlcr.2019.12.08

Figure Lengend Snippet: Genomic position of the ASC/TMS1/PYCARD gene with locations of pyrosequencing regions and Infinium 450K whole methylation array CPG probes visualized in USCS Genome browser. CPG island is indicated in green while thin blue vertical line indicates CpG position assayed by both methods. Note that ASC/TMS1/PYCARD is transcribed in the opposite direction indicated by small arrows within the gene region.

Article Snippet: Our study is mainly a demonstration of the concept that highlights the utility of the methylation status of certain genes that can be translated into the clinical practice as reliable diagnostic markers, when differentiation of tumor and non-tumor tissues is difficult, and as potential predictors for different clinical outcome in the NSCLC patients. fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 Genomic position of the ASC/TMS1/PYCARD gene with locations of pyrosequencing regions and Infinium 450K whole methylation array CPG probes visualized in USCS Genome browser.

Techniques: Methylation

Beta values of the TCGA Lung Adenocarcinoma samples in the vicinity of ASC/TMS1/PYCARD gene visualized in XENA USCS browser. Note that for the CpG probe cg09866102 assayed by both methods data indicates small reduction of mean methylation value in cancer compared to matched control tissue of the same patient. Non primary tumors and samples with no measurements were excluded. TCGA stands for The Cancer Genome Atlas project.

Journal: Translational Lung Cancer Research

Article Title: Promoter methylation status of ASC/TMS1/PYCARD is associated with decreased overall survival and TNM status in patients with early stage non-small cell lung cancer (NSCLC)

doi: 10.21037/tlcr.2019.12.08

Figure Lengend Snippet: Beta values of the TCGA Lung Adenocarcinoma samples in the vicinity of ASC/TMS1/PYCARD gene visualized in XENA USCS browser. Note that for the CpG probe cg09866102 assayed by both methods data indicates small reduction of mean methylation value in cancer compared to matched control tissue of the same patient. Non primary tumors and samples with no measurements were excluded. TCGA stands for The Cancer Genome Atlas project.

Article Snippet: Our study is mainly a demonstration of the concept that highlights the utility of the methylation status of certain genes that can be translated into the clinical practice as reliable diagnostic markers, when differentiation of tumor and non-tumor tissues is difficult, and as potential predictors for different clinical outcome in the NSCLC patients. fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 Genomic position of the ASC/TMS1/PYCARD gene with locations of pyrosequencing regions and Infinium 450K whole methylation array CPG probes visualized in USCS Genome browser.

Techniques: Methylation, Control