Process Description

Genomic Heritability

The Genomic Heritability process estimates the genetic variance explained by marker variables using a mixed model framework as described in Yang, J. et al. (2010)1Yang J, Benyamin B, McEvoy BP, Gordon S, Henders AK, Nyholt DR, et al. 2010. Common SNPs explain a large proportion of the heritability for human height. Nature Genetics 42(7): 565-569..

What do I need?

One Input Data Set is required: An input data set with one column per each numeric coded marker (0 for the homozygous major allele, 1 for the heterozygous, and 2 for the homozygous minor allele) and at least one trait (continuous, binary, or ordinal).

The samplegmdata_numgeno.sas7bdat data set, used in the following example, consists of 611 rows of individuals with 70 columns corresponding to data on these individuals. It was derived from the original, computer-generated, samplegmdata.sas7bdat data set described in Data Sets Used in JMP Genomics Processes, using the Recode Genotypes process. Marker data is presented in the one-column format. This data set is partially shown below.

For detailed information about the files and data sets used or created by JMP Genomics software, see Files and Data Sets.

Output/Results

The output generated by this process is summarized in a Tabbed report. Refer to the Genomic Heritability output documentation for detailed descriptions and guides to interpreting your results.