我有一个名为gwas.data
SNP A1 A2 EFF FRQ
2353 rs10001803 A G -0.06620391 0.06860
2307 rs10002573 T C -0.03969763 0.78100
504 rs10003143 A C 0.03829721 0.53170
1802 rs1001022 T C 0.08159842 0.96174
461 rs10011564 T C 0.04930432 0.27840
2331 rs10013187 A C -0.03600030 0.54490
我有一个名为correct.orientation
的第二帧:
SNP CLST A1 A2 FRQ IMP POS CHR BVAL
54445 rs10001803 Brahui G A 1.00 1 157121506 4 898
49713 rs10002573 Brahui C T 0.26 0 31120097 4 983
52885 rs10003143 Brahui A C 0.42 0 114272159 4 918
193805 rs1001022 Brahui T C 0.98 0 24733488 22 970
48257 rs10011564 Brahui T C 0.10 1 18734768 4 863
52313 rs10013187 Brahui C A 0.34 1 103040573 4 908
我试图让A1和A2的列在两个文件之间匹配。如果从gwas.data
翻转了correct.orientation
的列,那么我想将它们翻转到正确的方向。如果我翻转它们,我还想更改EFF
列的符号并为FRQ
列取(1-FRQ)。以下是我目前正在尝试使用的代码:
gwas.data <- MatchAlleles ( gwas.data , assoc.loci.freqs)
MatchAlleles <- function ( gwas.data , assoc.loci.freqs ) {
if ( nrow ( gwas.data ) != nrow ( correct.orientation ) ) {
stop ( "GWAS dataset and Orientation Matching dataset contain differing numbers of SNPs" )
}
flip <- gwas.data$A1 == correct.orientation$A2 & gwas.data$A2 == correct.orientation$A1
dont.flip <- gwas.data$A1 == correct.orientation$A1 & gwas.data$A2 == correct.orientation$A2
for ( i in 1 : nrow ( gwas.data ) ) {
if ( flip [ i ] ) {
gwas.data$A1 [ i ] <- correct.orientation$A1 [ i ]
gwas.data$A2 [ i ] <- correct.orientation$A2 [ i ]
gwas.data$EFF [ i ] <- - gwas.data$EFF [ i ]
gwas.data$FRQ [ i ] <- 1 - gwas.data$FRQ [ i ]
} else if ( dont.flip [ i ] ) {
#do nothing
} else {
stop ( "Strand Issue")
}
}
return ( gwas.data )
}
assoc.loci.freqs
字词无关紧要,并且包含在原始代码中,但在函数中更高,并且不会影响它。当我尝试使用此代码时,我收到错误:Error in Ops.factor(gwas.data$A1, correct.orientation$A2) :
level sets of factors are different
可能导致此问题的原因是什么?
答案 0 :(得分:0)
是否某个核苷酸位于gwas.data$A1
但不是correct.orientation$A2
?使用上面给出的示例,A1
的因子级别为A
和T
,而A2
的因子级别为A
,T
,和C
。
@ dayne的评论中的建议应该绕过这个问题。