Links of MX Li's tools:
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Impute p-value at untyped SNPs and conduct meta-analysis |
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1) Impute p values for genetic association by haplotype reference data in VCF format and genotype reference data in PLINK format |
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java -Xmx3g -jar fapi.jar --meta --pfile ./plink.assoc1.hg19.txt,./plink.assoc2.hg19.txt,./plink.assoc3.hg19.txt --gfile 1kg.phase1.v3.asn.hg19::vcf,1kg.phase1.v3.asn.hg19::vcf,
1kg.phase1.v3.eur.hg19::vcf --p-col P,Pvalue,PValue,P --size 1000:1440,200:400,2000:400
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Hint: If the reference genotypes are stored in different files chromosome by chromosome, you can use _CHROM_ to denote the chromosome names [1...Y] in the file name,
e.g. chr_CHROM_.phase1.cvf.chinese. |
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Output: |
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Description |
Chrom |
The chromosome on which a SNP is mapped. |
StartPos |
The start position at which a SNP is mapped on a chromosome. |
ID |
The ID of a sequence variant, it should be the rsID for most sequence variants. |
Study1Type |
"G" denotes this SNP has inputted p value and "I" denotes this SNP has imputed p value. |
Study1TConfidence |
The (1-variance) of the conditional normal distribution on which the imputation was carried out. It ranges from 0 to 1. The larger the better. The cut-off 0.4 is recommended. |
Study1TP |
The original input or imputed p values. |
Study2Type |
"G" denotes this SNP has input p value and "I" denotes this SNP has imputed p value. |
Study2TConfidence |
The (1-variance) of the conditional normal distribution on which the imputation was carried out. It ranges from 0 to 1. The larger the better. The cut-off 0.4 is recommended. |
Study2TP |
The original input or imputed p values. |
MetaP |
The original input or imputed p values. |
Q |
p-value for Cochrane's Q statistic. |
I |
I^2 heterogeneity index (0-100). |
Miao-xin Li, Professor on Precision Medical Genetics & Bioinformatics, Zhongshan School of Medicine, Sun Yat-sen University, All rights reserved. |
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