A dataset giving the relationship structure of 20 families
and phenotypic data on the family members

datasets

A novel statistical method based on expectation maximisation (EM)
algorithm and genetic segregation analysis to identify heritable DNA
methylation marks. Details about the method can be found in
Joo et al. (2018) <doi:10.1038/s41467-018-03058-6>.

Kevin Wong

heritEWAS

Identify Heritable Methylation Marks

James Dowty

ped function

A data frame with 288 rows (corresponding to persons) and 8 variables:<dl class="dl-horizontal">
<dt>family</dt><dd>an identifier for the person's family</dd>
<dt>indiv</dt><dd>an identifier (ID) for the person</dd>
<dt>mother</dt><dd>the individual ID of the person's mother</dd>
<dt>father</dt><dd>the individual ID of the person's father</dd>
<dt>sex</dt><dd>the person's sex (M = male, F = female)</dd>
<dt>aff</dt><dd>the person's affected status (1 = case, 0 = control)</dd>
<dt>age</dt><dd>the person's age, in years</dd>
<dt>typed</dt><dd>a flag indicating if methylation data is available (1 = available, 0 = unavailable)</dd>
</dl>

Format

Simulated data on 20 families. — ped

A data frame with 288 rows (corresponding to persons) and 8 variables:<dl class='dl-horizontal'>
<dt>family</dt><dd>an identifier for the person's family</dd>
<dt>indiv</dt><dd>an identifier (ID) for the person</dd>
<dt>mother</dt><dd>the individual ID of the person's mother</dd>
<dt>father</dt><dd>the individual ID of the person's father</dd>
<dt>sex</dt><dd>the person's sex (M = male, F = female)</dd>
<dt>aff</dt><dd>the person's affected status (1 = case, 0 = control)</dd>
<dt>age</dt><dd>the person's age, in years</dd>
<dt>typed</dt><dd>a flag indicating if methylation data is available (1 = available, 0 = unavailable)</dd>
</dl>

ped: Simulated data on 20 families.

Description

Usage

Arguments

Format