Closed beginner984 closed 4 years ago
Hello,
Odds ratios are from Fishers exact test estimated from mafCompare
function.
> pt.vs.rt <- mafCompare(m1 = primary.apl, m2 = relapse.apl, m1Name = 'Primary',
m2Name = 'Relapse', minMut = 5)
> pt.vs.rt
$results
Hugo_Symbol Primary Relapse pval or ci.up ci.low adjPval
1: PML 1 11 1.529935e-05 0.03537381 0.2552937 0.000806034 0.0001376942
2: RARA 0 7 2.574810e-04 0.00000000 0.3006159 0.000000000 0.0011586643
3: RUNX1 1 5 1.310500e-02 0.08740567 0.8076265 0.001813280 0.0393149868
4: FLT3 26 4 1.812779e-02 3.56086275 14.7701728 1.149009169 0.0407875250
5: ARID1B 5 8 2.758396e-02 0.26480490 0.9698686 0.064804160 0.0496511201
6: WT1 20 14 2.229087e-01 0.60619329 1.4223101 0.263440988 0.3343630535
7: KRAS 6 1 4.334067e-01 2.88486293 135.5393108 0.337679367 0.4897762916
8: NRAS 15 4 4.353567e-01 1.85209500 8.0373994 0.553883512 0.4897762916
9: ARID1A 7 4 7.457274e-01 0.80869223 3.9297309 0.195710173 0.7457273717
$SampleSummary
Cohort SampleSize
1: Primary 124
2: Relapse 58
In the above list results
contains details about fishers output. Simple way to interpret the first row is that the odds of observing PML
gene in Primary
APL is quite low (0.03 times than in relapse). Similarly, 4th row, odds of observing FLT3
in primary is quite high (3.56 times more likely than in relapse). These are the values plotted in forestplot on log10 scale. Hope this helps.
Thank you very much
Quite explanatory
In my case
Likely I have the same number of observed NAV3
in both groups but I have a odds of observing NAV3
in M1
group (that is why log odd ratio is positive); But why when I have the same number of observations?
7 out of 94
is significantly different from 7 out of 31
Apologise @PoisonAlien
I have compared two mafs
> head(pt.vs.rt$results)
Hugo_Symbol Responders NonResponders pval or ci.up ci.low adjPval
1: NAV3 0 8 0.007407514 0.000000 0.6570311 0.000000 0.1708848
2: TPTE 5 0 0.013670784 Inf Inf 1.254574 0.1708848
3: AHNAK2 9 3 0.025101015 4.879954 31.1648231 1.063497 0.1915460
4: ERBB4 0 6 0.030647360 0.000000 1.0033597 0.000000 0.1915460
5: GABRA4 0 5 0.061822725 0.000000 1.3189994 0.000000 0.2575947
6: KCNQ3 0 5 0.061822725 0.000000 1.3189994 0.000000 0.2575947
>
The results says that ERBB2
has been mutated in none of 30 Responders versus 6 of 38 NonResponders samples
But this plot likely says that ERBB2 has been mutated only once in both groups
Thank you for any help
Results in from mafCompare has no ERBB2
. Its ERBB4
.
Hi
Sorry whatever I try to get the logic of forestPlot I fail. What are you putting into the odds ratio? I can see this as odds of having the PML gene, but odds ratio has me confused. Why odd ratio is negative (apart from taking log)
Thank you for any help