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homework_6_ancestry [2015/11/13 15:16]
scott 		homework_6_ancestry [2015/11/16 10:18] (current)
scott
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 +
 +==== Notes ====
 +
 +
 +
 +==== Code for Homework ====
 +
  
 # PSYC 7102 -- Statistical Genetics # PSYC 7102 -- Statistical Genetics
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 ### ONLY EXPLAIN COMMANDS WHERE I SPECIFICALLY REQUEST IT! YOU DO NOT ### ONLY EXPLAIN COMMANDS WHERE I SPECIFICALLY REQUEST IT! YOU DO NOT
-### HAVE TO EXPLAIN EVERY COMMAND!+### HAVE TO EXPLAIN EVERY COMMAND! But please run all commands to produce  
 +### in the end a PCA plot containing yourself compared to all 1000 Genomes  
 +### samples.
  
 # For many questions you'll want to run analyses by chromosome. To do # For many questions you'll want to run analyses by chromosome. To do
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 qsub -I -l walltime=23:00:00 -q short -l mem=10gb -l nodes=1:ppn=22 qsub -I -l walltime=23:00:00 -q short -l mem=10gb -l nodes=1:ppn=22
  
 +### Load apigenome, plink
 +module load apigenome_0.0.2
 +module load plink_latest
 +module load tabix_0.2.6
  
  
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 ### Add in rsIDs from dbSNP. PLINK needs these to reconcile ### Add in rsIDs from dbSNP. PLINK needs these to reconcile
 ### positions/alleles ### positions/alleles
-vcf-add-rsid -vcf chrALL.filtered.PASS.beagled.HG00096.vcf.gz -db /Users/scvr9332/reference_data/dbsnp.144.b37.vcf.gz | bgzip -c > chrALL.filtered.PASS.beagled.HG00096.rsID.vcf.gz+vcf-add-rsid -vcf chrALL.filtered.PASS.beagled.HG00096.vcf.gz -db /Users/scvr9332/reference_data/dbsnp_144/dbsnp.144.b37.vcf.gz | bgzip -c > chrALL.filtered.PASS.beagled.HG00096.rsID.vcf.gz
 ### The previous command keeps only variants with rsIDs, otherwise ### The previous command keeps only variants with rsIDs, otherwise
 ### plink throws an error that there are >1 variants with ID = "." ### plink throws an error that there are >1 variants with ID = "."
 ### ###
-###------ QUESTION 1: WHAT DOES THIS COMMAND DO?+###------ QUESTION 1: WHAT DOES THIS COMMAND DO? (1 point)
 zgrep -E '#|\srs[0-9]' chrALL.filtered.PASS.beagled.HG00096.rsID.vcf.gz | bgzip -c > chrALL.filtered.PASS.beagled.HG00096.rsIDsOnly.vcf.gz zgrep -E '#|\srs[0-9]' chrALL.filtered.PASS.beagled.HG00096.rsID.vcf.gz | bgzip -c > chrALL.filtered.PASS.beagled.HG00096.rsIDsOnly.vcf.gz
  
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 #  can handle anyway). BE SURE TO LOG INTO A COMPUTE NODE BEFORE #  can handle anyway). BE SURE TO LOG INTO A COMPUTE NODE BEFORE
 #  RUNNING ANY OF THESE LOOPS!!!!! #  RUNNING ANY OF THESE LOOPS!!!!!
-###------ QUESTION 2: WHAT DOES THIS COMMAND (THE ENTIRE FOR LOOP) DO?+### 
 +###------ QUESTION 2: WHAT DOES THIS COMMAND (THE ENTIRE FOR LOOP) DO? (2 points)
 for i in {1..22}; do for i in {1..22}; do
-    zgrep -E '^#|\s[ACTG]\s[ACTG]\s' /Users/scvr9332/1000Gp3/variant_calls /ALL.chr$i.phase3_shapeit2_mvncall_integrated_v5a.20130502.genotypes.vcf.gz | bgzip -c > chr$i.1000G.biallelic.vcf.gz &+    zgrep -E '^#|\s[ACTG]\s[ACTG]\s' /Users/scvr9332/1000Gp3/variant_calls/ALL.chr$i.phase3_shapeit2_mvncall_integrated_v5a.20130502.genotypes.vcf.gz | bgzip -c > chr$i.1000G.biallelic.vcf.gz &
 done done
  
 ### Retain in the 1000 Genomes VCF only your SNPs that are also fairly common ### Retain in the 1000 Genomes VCF only your SNPs that are also fairly common
-### +### because we're going to conduct PCA on these SNPs and only want common ones. 
-###------ QUESTION 3: WHY WOULD WE REMOVE COMMON SNPS, OTHER THAN IT +###  
-###------             MAKES EVERY COMMAND LATER FASTER?+###------ QUESTION 3: WHY WOULD WE RETAIN ONLY COMMON SNPS, OTHER THAN IT 
 +###------             MAKES EVERY COMMAND LATER FASTER? (2 points)
 for i in {1..22}; do for i in {1..22}; do
     plink --vcf chr$i.1000G.biallelic.vcf.gz \     plink --vcf chr$i.1000G.biallelic.vcf.gz \
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 ### ###
 ###------ QUESTION 4: WALK ME THROUGH WHAT THIS COMMAND (THE ENTIRE ###------ QUESTION 4: WALK ME THROUGH WHAT THIS COMMAND (THE ENTIRE
-###------             FOR LOOP) IS DOING.+###------             FOR LOOP) IS DOING. (3 points)
 for i in {1..22}; do for i in {1..22}; do
     zcat chr$i.1000G.biallelic.vcf.gz | cut -f3 | sort | uniq -c | grep -E '\s2\s' | grep '^rs' | gawk '{print $2}' >  dups$i.txt &      zcat chr$i.1000G.biallelic.vcf.gz | cut -f3 | sort | uniq -c | grep -E '\s2\s' | grep '^rs' | gawk '{print $2}' >  dups$i.txt & 
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 for i in {1..22}; do for i in {1..22}; do
     plink --bfile chr$i.1000G.biallelic.common.plink.nodups \     plink --bfile chr$i.1000G.biallelic.common.plink.nodups \
-        --indep-pairwise 100k 5 .01 \  #------ QUESTION 5: EXPLAIN WHAT THIS ARGUMENT IS DOING+        --indep-pairwise 100k 5 .01 \  #------ QUESTION 5: EXPLAIN WHAT THIS ARGUMENT IS DOING (1 point)
         --maf .05 \         --maf .05 \
         --out chr$i.snpsToExtract &         --out chr$i.snpsToExtract &
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 ###----- QUESTION 6: HOW MANY VARIANTS ARE IN THE OUTPUT FILE FROM THE ###----- QUESTION 6: HOW MANY VARIANTS ARE IN THE OUTPUT FILE FROM THE
-###-----             COMMAND ABOVE?+###-----             COMMAND ABOVE? (1 point)
  
  
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 ### average for each site in the score file. ### average for each site in the score file.
 ### ###
-###------ QUESTION 7: EXPLAIN WHAT THE FOLLOWING COMMANDS ARE DOING +###------ QUESTION 7: EXPLAIN WHAT THE FOLLOWING COMMANDS ARE DOING (2 points)
 plink --vcf chrALL.filtered.PASS.beagled.HG00096.rsIDsOnly.vcf.gz  --score PCA-score-file.txt 2 3 4 header --out PC1 plink --vcf chrALL.filtered.PASS.beagled.HG00096.rsIDsOnly.vcf.gz  --score PCA-score-file.txt 2 3 4 header --out PC1
 plink --vcf chrALL.filtered.PASS.beagled.HG00096.rsIDsOnly.vcf.gz  --score PCA-score-file.txt 2 3 5 header --out PC2 plink --vcf chrALL.filtered.PASS.beagled.HG00096.rsIDsOnly.vcf.gz  --score PCA-score-file.txt 2 3 5 header --out PC2
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 R R
 ### Then in this R session run: 'install.packages('car', repos='http://cran.r-project.org')' ### Then in this R session run: 'install.packages('car', repos='http://cran.r-project.org')'
-### If you log out and back in, you'll have to again run this command:+### If you log out and back in, you'll have to again run this command again to get the car library loaded:
 export R_LIBS=/Users/scvr9332/R export R_LIBS=/Users/scvr9332/R
  
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 ###------ QUESTION 8: PLEASE INTERPRET THE RESULTING GRAPH. WHAT IS ###------ QUESTION 8: PLEASE INTERPRET THE RESULTING GRAPH. WHAT IS
 ###------             BEING PLOTTED? WHAT DOES IT SAY ABOUT THE ###------             BEING PLOTTED? WHAT DOES IT SAY ABOUT THE
-###------             ANCESTRY OF YOUR SAMPLE (OR WHATEVER+###------             ANCESTRY OF YOUR SAMPLE (OR WHATEVER SAMPLE YOU 
 +###------             USED) (2 points)
 echo " echo "
  
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 ### 'Self-reported' ancestry of 1000g participants ### 'Self-reported' ancestry of 1000g participants
-kg_sf <- read.table('20130502.sequence.index', header=T, sep='\t', fill=T, stringsAsFactors=F)+kg_sf <- read.table('/Users/scvr9332/PCA/20130502.sequence.index', header=T, sep='\t', fill=T, stringsAsFactors=F)
  
 sample_ids <- unique(data.frame(IID=kg_sf$SAMPLE_NAME, POPULATION=kg_sf$POPULATION, stringsAsFactors=F)) sample_ids <- unique(data.frame(IID=kg_sf$SAMPLE_NAME, POPULATION=kg_sf$POPULATION, stringsAsFactors=F))
homework_6_ancestry.1447452967.txt.gz · Last modified: 2015/11/13 15:16 by scott

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