read_pvals: Read GWAS p-values of association and Merge with SNP...

In genomicper: Circular Genomic Permutation using Genome Wide Association p-Values

Read GWAS p-values of association and Merge with SNP annotations

Description

Read GWAS p-values of association and Merge with SNP annotations for analysis

Usage

read_pvals(data_name="",snps_ann="",from="workspace")

Arguments

data_name	GWAS p_values (tab delimited file)(SNP_IDs Trait1 Trait2 ...TraitN)
snps_ann	SNPs Annotation (SNPsAnnotation). Genomicper uses entrez gene ids to annotate associate SNPs-to genes-pathways. The annotation MUST match your data input (coordinates and chromosome format) Any SNP ID is valid, as long the ID is set as character The examples below show an option on how to annotate the SNPs prior the use of genomicper
from	Datasets location. Values "workspace" OR "directory"

Value

Dataframe: name; chromosome; Location; GeneID; Symbol; Orientation; Trait1; TraitN

Formats

GWAS p_values (tab delimited file)(SNP_IDs Trait1 Trait2 ...TraitN)
name       Trait1      Trait2    TraitN  
rs10000010 0.9122360 0.30088096 0.2332038
rs10000023 0.8642906 0.52064064 0.9243443 
rs10000030 0.2832705 0.99021664 0.8359339

SNPs Annotation (SNPsAnnotation)
name        Chromosome  Location  GENE_ID   Symbol    Orientation
rs1000313   1           15405489  23254     KIAA1026  +
rs1000533   1           168282491 9095      TBX19     +
rs1000731   1           231963491 27185     DISC1     +

Output:
name       Chromosome  Location GENE_ID Symbol Orientation   Trait1  
rs10000010          4  21618674   80333 KCNIP4           - 0.9122360
rs10000023          4  95733906     658 BMPR1B           + 0.8642906
rs10000030          4 103374154      NA   <NA>        <NA> 0.2832705 

See Also

genome_order

Examples

## DEMO // WORKSPACE
data(demo,SNPsAnnotation)
all_data <- read_pvals(data_name=demo,snps_ann=SNPsAnnotation)

genomicper documentation built on Feb. 23, 2026, 5:06 p.m.