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Evaluation of microarray-based DNA methylation measurement using technical replicates: the Atherosclerosis Risk In

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DNA methylation reliability varies across cytosine-guanine (CpG) sites. High reliability CpG sites are crucial for accurate association studies, like those examining smoking status. Low reliability sites require careful consideration in analysis.

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Area of Science:

  • Epigenetics
  • Genomics
  • Biostatistics

Background:

  • DNA methylation is a key epigenetic mechanism influencing health and disease.
  • The Atherosclerosis Risk in Communities (ARIC) study measured DNA methylation in ~3000 African Americans using the Illumina HM450 BeadChip.
  • Technical variation was assessed using 265 replicates across 130 participants.

Purpose of the Study:

  • To evaluate the reliability of DNA methylation measurements across over 480,000 cytosine-guanine (CpG) sites.
  • To develop a method for clustering CpG sites into low- and high-reliability groups.
  • To assess the impact of methylation reliability on association studies.

Main Methods:

  • Calculated intraclass correlation coefficients (ICCs) for each CpG site to quantify methylation variability.
  • Modeled ICC distributions using a mixture of normal and censored/truncated normal distributions via an EM algorithm.
  • Clustered CpG sites into reliability groups based on posterior probabilities.

Main Results:

  • CpG sites were successfully clustered into low- and high-reliability groups.
  • The clustering method demonstrated effectiveness in a smoking status association study.
  • Approximately 96% of genome-wide significant associations with smoking status were found at high-reliability CpG sites.

Conclusions:

  • CpG sites with low intraclass correlation coefficients (ICCs) exhibit lower reliability.
  • Low-reliability CpG sites may need exclusion from association analyses.
  • Caution is advised when interpreting associations at low-reliability CpG sites.