General Information of GWAS
Summary Statistics

General GWAS Summary
Project: High temperature tolerance in Pristionchus pacificus Experiment Type Genome-wide Association Study
esayGWAS-ID:ddd8ac3f-d31b-4c59-b492-11fc7ea70203Owner:MLeaver
Date Started:Oct. 4, 2016, 2:31 p.m.Date Finished:Oct. 4, 2016, 2:31 p.m.

Selected Species and Dataset
Selected Species: Pristionchus pacificus
Selected Dataset: Htt_223_strains_unix
Selected Gene Annotation Set: Linking genotype and phenotype in P. pacificus Gene Annotation Set

Selected SNPs, Encodings and Filters
Selected SNPs: All SNPs selected MAF Filter:0.2
SNP encoding: Additive Selected Principle Components:0
Used unique SNPs only to compute Realized Relationship Kernel:True

Selected Phenotype
Phenotype Name: Htt 212 allclades Selected Transformation:None
Selected Algorithm: EMMAX Histogram:

Selected Covariates
Covariate Name Selected Transformation Selected Algorithm Histogram
beetle None EMMAX
beetle None EMMAX
beetle Dummy Variables EMMAX
beetle Dummy Variables EMMAX
beetle Dummy Variables EMMAX
beetle Dummy Variables EMMAX
beetle None EMMAX
beetle Dummy Variables EMMAX
beetle None EMMAX
beetle Dummy Variables EMMAX
beetle Dummy Variables EMMAX
beetle Dummy Variables EMMAX
beetle Dummy Variables EMMAX
beetle Dummy Variables EMMAX
beetle Dummy Variables EMMAX
beetle Dummy Variables EMMAX
beetle Dummy Variables EMMAX
beetle Dummy Variables EMMAX
beetle Dummy Variables EMMAX
beetle Dummy Variables EMMAX
Algorithm Details
Number of SNPs before Filtering: 68144 Number of SNPs after Filtering:4447
Number of Samples before Filtering: 211 Number of Samples after Filtering: 211
AIC Null-Model: 121.94 AICc Null-Model:126.36
BIC Null-Model: 188.98
Variance Explained by the Null Model: 0.39

Publications


authorstitlepub yearjournalvolumepagesdoi
Hyun Kang et al.Variance component model to account for sample structure in genome-wide association studies2010Nature Genetics42348-35410.1038/ng.548