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<pre>epacts2.1/epacts single -man
 
<pre>epacts2.1/epacts single -man
 
</pre>  
 
</pre>  
To simplify the reporting process, o
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To simplify the reporting process, o  
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There are '''4''' separate association analyses to be completed (score and Firth, with and without adjustment for BMI):
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There are '''4''' separate association analyses to be completed (sco
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! scope="col" |  
 
! scope="col" |  
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DIAGRAMv4_iSNPs_XXX_1000G_KKK_TTT_YYY_ZZZ.txt  
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A. DIAGRAMv4_iSNPs_XXX_1000G_KKK_TTT_YYY_ZZZ.txt  
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DIAGRAMv4_iSNPs_XXX_adjBMI_1000G_KKK_TTT_YYY_ZZZ.txt
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B. DIAGRAMv4_iSNPs_XXX_adjBMI_1000G_KKK_TTT_YYY_ZZZ.txt  
    
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SNPs with
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SNPs with  
    
200 &gt;= MAC &gt;= 1  
 
200 &gt;= MAC &gt;= 1  
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DIAGRAMv4_iSNPs_XXX_1000G_KKK_FBC_YYY_ZZZ.epacts  
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A. DIAGRAMv4_iSNPs_XXX_1000G_KKK_FBC_YYY_ZZZ.epacts  
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DIAGRAMv4_iSNPs_XXX_adjBMI_1000G_KKK_FBC_YYY_ZZZ.epacts
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B. DIAGRAMv4_iSNPs_XXX_adjBMI_1000G_KKK_FBC_YYY_ZZZ.epacts  
    
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</pre>
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</pre>  
 
3. Analysis of all SNPs using logistic regression score test<br>The score test has well-controlled type I error rate and good power for meta-analysis of balanced (equal numbers of cases and controls) studies.&nbsp; It is also very computationally efficient.&nbsp; Please run the score test using the EPACTS software.  
 
3. Analysis of all SNPs using logistic regression score test<br>The score test has well-controlled type I error rate and good power for meta-analysis of balanced (equal numbers of cases and controls) studies.&nbsp; It is also very computationally efficient.&nbsp; Please run the score test using the EPACTS software.  
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The EPACTS command for the score test analysis of all variants is:
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The EPACTS command for the score test analysis of all variants is:  
 
<pre>epacts2.1/epacts single -vcf [INPUT VCF FILENAME] -ped [INPUT PED FILENAME] -out [OUTPUT FILENAME PREFIX] \
 
<pre>epacts2.1/epacts single -vcf [INPUT VCF FILENAME] -ped [INPUT PED FILENAME] -out [OUTPUT FILENAME PREFIX] \
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</pre>
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</pre>  
 
This command will run single variant analysis using the score test logistic regression on the DISEASE phenotype adjusting for AGE. Add the relevant additional covariates with additional "-cov" options. This assumes that the VCF files are separated by chromosomes (option -sepchr). All variants with at least one minor allele count will be analyzed (option -min-mac 1). It will annotate results by functional category (option -anno) and run the analysis on 10 parallel CPUs (option -run 10).
 
This command will run single variant analysis using the score test logistic regression on the DISEASE phenotype adjusting for AGE. Add the relevant additional covariates with additional "-cov" options. This assumes that the VCF files are separated by chromosomes (option -sepchr). All variants with at least one minor allele count will be analyzed (option -min-mac 1). It will annotate results by functional category (option -anno) and run the analysis on 10 parallel CPUs (option -run 10).
  
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