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<title>Expression and Copy Number Correlation</title>
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<h1>Expression and Copy Number Correlation</h1>
<p>In this example, we will look at the correlation between mRNAseq-based gene expression and copy number data. We will do this using two data tables from the isb-cgc:tcga_201510_alpha dataset and a genome table from the isb-cgc:genome_reference dataset.</p>
<pre><code class="r">library(dplyr)
library(bigrquery)
library(ggplot2)
library(stringr)
library(ISBCGCExamples)
# The directory in which the files containing SQL reside.
#sqlDir = file.path("/PATH/TO/GIT/CLONE/OF/examples-R/inst/",
sqlDir = file.path(system.file(package = "ISBCGCExamples"), "sql")
</code></pre>
<pre><code class="r">######################[ TIP ]########################################
## Set the Google Cloud Platform project id under which these queries will run.
##
## If you are using the workshop docker image, this is already
## set for you in your .Rprofile and you can skip this step.
# project = "YOUR-PROJECT-ID"
#####################################################################
</code></pre>
<h2>Getting gene information</h2>
<p>We're going to use the genome data set to query some information about
a given gene.</p>
<pre><code class="r">q <- "select
seqname,
MIN(start) as start,
MAX(end) as end,
gene_name
from
[isb-cgc:genome_reference.GENCODE_v19]
where
gene_name = 'TP53'
group by
seqname,
gene_name"
gene_info <- query_exec(q, project)
gene_info
</code></pre>
<pre><code>## seqname start end gene_name
## 1 chr17 7565097 7590856 TP53
</code></pre>
<h2>Pearson Correlation in BigQuery</h2>
<p>This sql example builds a table where for each sample barcode, we have
the RNA-seq level and the mean of copy number changes for segments that
overlap the gene region. Pearson correlation is computed over expr and
copy number columns.</p>
<pre><code class="r"># Set the desired tables to query.
expressionTable = "isb-cgc:tcga_201510_alpha.mRNA_UNC_HiSeq_RSEM"
copyNumberTable = "isb-cgc:tcga_201510_alpha.Copy_Number_segments"
# Now we are ready to run the query.
result = DisplayAndDispatchQuery(
file.path(sqlDir, "copy_number_and_expr_corr.sql"),
project=project,
replacements=list("_STUDY_"="BRCA",
"_EXPRESSION_TABLE_"=expressionTable,
"_COPY_NUMBER_TABLE_"=copyNumberTable,
"_GENE_"=gene_info$gene_name,
"_TP_"="TP",
"_CHR_"=str_sub(gene_info$seqname, start=4),
"_START_"=gene_info$start,
"_END_"=gene_info$end))
</code></pre>
<pre><code>
SELECT
expr.Study as Study,
expr.HGNC_gene_symbol as Gene,
CORR(log2(expr.normalized_count+1), cn.mean_segment_mean) as correlation
FROM
[isb-cgc:tcga_201510_alpha.mRNA_UNC_HiSeq_RSEM] AS expr
JOIN (
SELECT
Study,
SampleBarcode,
Num_Probes,
AVG(Segment_Mean) AS mean_segment_mean,
FROM
[isb-cgc:tcga_201510_alpha.Copy_Number_segments]
WHERE
SampleTypeLetterCode = 'TP'
AND Chromosome = '17'
AND ((start <= 7565097 AND END >= 7590856)
OR (start >= 7565097 AND start <= 7590856)
OR (END >= 7565097 AND END <= 7590856)
OR (start >= 7565097 AND END <= 7590856))
GROUP BY
Study,
SampleBarcode,
Num_Probes ) AS cn
ON
expr.SampleBarcode = cn.SampleBarcode
AND expr.Study = cn.Study
WHERE
expr.HGNC_gene_symbol = 'TP53'
AND expr.Study = 'BRCA'
GROUP BY
Study,
Gene
ORDER BY
correlation
</code></pre>
<pre><code class="r">result
</code></pre>
<pre><code> Study Gene correlation
1 BRCA TP53 0.3053237
</code></pre>
<p>The result is a table with the study, gene, and pearson correlation for
expression with mean of copy number segments overlapping the gene of interest.</p>
<p>But now we can run it over all studies.</p>
<pre><code class="r"># Now we are ready to run the query.
result = DisplayAndDispatchQuery(
file.path(sqlDir, "copy_number_and_expr_corr_all_studies.sql"),
project=project,
replacements=list("_EXPRESSION_TABLE_"=expressionTable,
"_COPY_NUMBER_TABLE_"=copyNumberTable,
"_GENE_"=gene_info$gene_name,
"_TP_"="TP",
"_CHR_"=str_sub(gene_info$seqname, start=4),
"_START_"=gene_info$start,
"_END_"=gene_info$end))
</code></pre>
<pre><code>## SELECT
## expr.Study as Study,
## expr.HGNC_gene_symbol as Gene,
## CORR(log2(expr.normalized_count+1), cn.mean_segment_mean) as correlation
## FROM
## [isb-cgc:tcga_201510_alpha.mRNA_UNC_HiSeq_RSEM] AS expr
## JOIN (
## SELECT
## Study,
## SampleBarcode,
## Num_Probes,
## AVG(Segment_Mean) AS mean_segment_mean,
## FROM
## [isb-cgc:tcga_201510_alpha.Copy_Number_segments]
## WHERE
## SampleTypeLetterCode = 'TP'
## AND Chromosome = '17'
## AND ((start <= 7565097 AND END >= 7590856)
## OR (start >= 7565097 AND start <= 7590856)
## OR (END >= 7565097 AND END <= 7590856)
## OR (start >= 7565097 AND END <= 7590856))
## GROUP BY
## Study,
## SampleBarcode,
## Num_Probes ) AS cn
## ON
## expr.SampleBarcode = cn.SampleBarcode
## AND expr.Study = cn.Study
## WHERE
## expr.HGNC_gene_symbol = 'TP53'
## GROUP BY
## Study,
## Gene
## ORDER BY
## correlation
</code></pre>
<pre><code class="r">result
</code></pre>
<pre><code>## Study Gene correlation
## 1 LUSC TP53 0.1193299
## 2 HNSC TP53 0.1483263
## 3 THCA TP53 0.1842087
## 4 KICH TP53 0.1985945
## 5 ESCA TP53 0.2064320
## 6 OV TP53 0.2237812
## 7 LGG TP53 0.2259375
## 8 GBM TP53 0.2762577
## 9 STAD TP53 0.2876563
## 10 BRCA TP53 0.3053237
## 11 BLCA TP53 0.3203657
## 12 ACC TP53 0.3295563
## 13 LUAD TP53 0.3373264
## 14 READ TP53 0.3508715
## 15 KIRP TP53 0.3597593
## 16 COAD TP53 0.3642031
## 17 CHOL TP53 0.3722740
## 18 KIRC TP53 0.3746402
## 19 UCEC TP53 0.3857859
## 20 UVM TP53 0.3910619
## 21 PAAD TP53 0.4013773
## 22 DLBC TP53 0.4417422
## 23 CESC TP53 0.4424818
## 24 THYM TP53 0.4928354
## 25 UCS TP53 0.5222810
## 26 SKCM TP53 0.5291675
## 27 TGCT TP53 0.5385247
## 28 SARC TP53 0.5608798
## 29 PRAD TP53 0.5819391
## 30 LIHC TP53 0.5838598
## 31 MESO TP53 0.5931288
## 32 PCPG TP53 0.6024819
</code></pre>
<pre><code class="r"># Plot comparing the CN ~ Expr correlation across studies.
ggplot(result, aes(x=factor(Study, ordered=T, levels=Study), y=correlation)) +
geom_point() +
theme(axis.text.x=element_text(angle=90, size=8)) +
xlab("Study") + ylab("Pearson correlation of gene expr and copy number data") +
ggtitle(gene_info$gene_name)
</code></pre>
<p><img src="data:image/png;base64,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" title="plot of chunk barplot" alt="plot of chunk barplot" style="display: block; margin: auto;" /></p>
<p>Looks like the MESO has one of the strongest correlations. Let's check the data.</p>
<pre><code class="r">q <- "
SELECT
expr.Study as Study,
expr.HGNC_gene_symbol as Gene,
expr.SampleBarcode as SampleBarcode,
log2(expr.normalized_count+1) as expr,
cn.mean_segment_mean as mean_cn
FROM
[isb-cgc:tcga_201510_alpha.mRNA_UNC_HiSeq_RSEM] AS expr
JOIN (
SELECT
Study,
SampleBarcode,
Num_Probes,
AVG(Segment_Mean) AS mean_segment_mean,
FROM
[isb-cgc:tcga_201510_alpha.Copy_Number_segments]
WHERE
SampleTypeLetterCode = 'TP'
AND Study = 'LIHC'
AND Chromosome = '17'
AND ((start <= 7565097 AND END >= 7590856)
OR (start >= 7565097 AND start <= 7590856)
OR (END >= 7565097 AND END <= 7590856)
OR (start >= 7565097 AND END <= 7590856))
GROUP BY
Study,
SampleBarcode,
Num_Probes ) AS cn
ON
expr.SampleBarcode = cn.SampleBarcode
AND expr.Study = cn.Study
WHERE
expr.HGNC_gene_symbol = 'TP53'
AND expr.Study = 'LIHC'
GROUP BY
Study,
Gene,
SampleBarcode,
expr,
mean_cn
"
data <- query_exec(q, project)
head(data)
</code></pre>
<pre><code>## Study Gene SampleBarcode expr mean_cn
## 1 LIHC TP53 TCGA-DD-A4NS-01A 10.039070 0.0137
## 2 LIHC TP53 TCGA-DD-A4NK-01A 9.546030 -0.0762
## 3 LIHC TP53 TCGA-GJ-A3OU-01A 10.024997 -0.2271
## 4 LIHC TP53 TCGA-CC-A8HT-01A 9.693517 -0.3713
## 5 LIHC TP53 TCGA-EP-A2KB-01A 11.535877 0.2011
## 6 LIHC TP53 TCGA-2Y-A9H0-01A 9.368493 -0.9768
</code></pre>
<pre><code class="r"># Plot comparing the CN ~ Expr correlation across studies.
ggplot(data, aes(x=expr, y=mean_cn)) +
geom_point() +
geom_smooth(method="lm") +
xlab("Log2 RNA-seq expression level") + ylab("Mean copy number change") +
ggtitle(gene_info$gene_name)
</code></pre>
<p><img src="data:image/png;base64,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" alt="plot of chunk unnamed-chunk-6"/></p>
<h2>Provenance</h2>
<pre><code class="r">sessionInfo()
</code></pre>
<pre><code>R version 3.2.4 (2016-03-10)
Platform: x86_64-apple-darwin13.4.0 (64-bit)
Running under: OS X 10.11.5 (El Capitan)
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] stringr_1.0.0 ggplot2_2.1.0 bigrquery_0.2.0
[4] dplyr_0.4.3 knitr_1.13 ISBCGCExamples_0.1.1
loaded via a namespace (and not attached):
[1] Rcpp_0.12.5 assertthat_0.1 plyr_1.8.3 grid_3.2.4
[5] R6_2.1.2 jsonlite_0.9.21 gtable_0.2.0 DBI_0.4-1
[9] formatR_1.4 magrittr_1.5 scales_0.4.0 evaluate_0.9
[13] httr_1.1.0 stringi_1.1.1 curl_0.9.7 labeling_0.3
[17] tools_3.2.4 munsell_0.4.3 parallel_3.2.4 colorspace_1.2-6
[21] openssl_0.9.4
</code></pre>
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