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ARIC Manuscript Proposal # 3200PC Reviewed: 7/10/17 SC Reviewed: Status: Status: Priority: 2 Priority: 1.a. Full Title: MethylomeWide Association Study of Hyperlipidemia, Hypertension, and Diabetes

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How to fill out methylome-wide association study of

01

To fill out a methylome-wide association study (MWAS), you need to follow these steps:

02

Step 1: Obtain methylome data - Collect DNA methylation data from a large number of individuals. This can be done by performing DNA methylation profiling using technologies like microarrays or next-generation sequencing.

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Step 2: Obtain phenotype data - Gather information about the traits or conditions you want to study. This could include clinical data, disease status, or any other relevant phenotypic information of the individuals.

04

Step 3: Preprocess the data - Clean and normalize the methylome data to remove any technical biases or batch effects. You may also need to impute missing values if necessary.

05

Step 4: Perform association analysis - Use statistical methods to identify associations between DNA methylation patterns and phenotypic outcomes. This could involve techniques like linear regression, logistic regression, or more advanced machine learning algorithms.

06

Step 5: Correct for multiple testing - Adjust the p-values obtained from the association analysis to account for the multiple comparisons conducted in MWAS. This helps control for the risk of false positive results.

07

Step 6: Interpret the results - Analyze and interpret the significant associations between DNA methylation and the phenotypes of interest. This may involve functional annotation, pathway analysis, or further validations using independent datasets.

08

Step 7: Report and communicate findings - Summarize and present the results of the MWAS in a clear and comprehensive manner. This could include generating tables, figures, and writing a detailed report explaining the methodology and results.

Who needs methylome-wide association study of?

01

Methylome-wide association study is of interest to researchers and scientists who want to investigate the relationship between DNA methylation patterns and phenotypic outcomes.

02

Specifically, MWAS can be valuable for:

03

- Researchers studying epigenetics and its role in various biological processes and diseases.

04

- Investigators interested in identifying potential biomarkers or targets for diagnostic, prognostic, or therapeutic purposes.

05

- Scientists exploring the effects of environmental factors or exposures on DNA methylation and how they relate to disease susceptibility or progression.

06

- Geneticists and genetic epidemiologists looking for further insights into the complex interplay between genetic and epigenetic factors in determining phenotypic variation.

07

- Clinicians and healthcare professionals aiming to understand the molecular basis of certain diseases or traits and improve patient care through personalized medicine approaches.

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What is methylome-wide association study of?

Methylome-wide association study involves examining the association between DNA methylation patterns and certain traits or conditions.

Who is required to file methylome-wide association study of?

Researchers and scientists conducting studies on DNA methylation patterns are required to file methylome-wide association studies.

How to fill out methylome-wide association study of?

Methylome-wide association studies are filled out by collecting DNA methylation data, analyzing it, and reporting the associations found.

What is the purpose of methylome-wide association study of?

The purpose of methylome-wide association study is to identify potential epigenetic factors that may be related to certain traits or diseases.

What information must be reported on methylome-wide association study of?

Methylome-wide association studies must report the DNA methylation data collected, the statistical analyses performed, and the associations found.

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