HotSpotsAnnotations - Cancer HotSpots Database

HotSpots in cancer refer to protein and DNA sites recurrently mutated across patients.

This database was estimated from a collection of 3,175,929 mutations derived from 33 cancer types and 10,182 patients from TCGA data.
To estimate the probability of observing a hotspot, a mixed Beta-Binomial and fixed effect model was first fitted to the distribution of mutation occurrences per protein site. Then the beta-binomial model was used to estimate the probability of observing recurrent sites, which were then corrected by FDR. For explorative purposes, only those sites having q FDR < 0.01 or at least 7 mutations are listed in the 'HotSpots' tab.

To aid the exploration, each site was assigned to 4 levels:

	'Red'	For p-values < 1e-2 (The lowest level)
	+'Hot'	For p-values < 1e-4
	+'Chili'	For p-values < 1e-6
	+'Piquin'	For p-values < 1e-8 (The highest level)

'Chile Piquin' is a special kind of tiny but very hot and tasty chili that seems to be originated in Mexico. It is quite famous in the north of Mexico, in particular in Monterrey where it is rarely found in commodity stores but commonly sold in the streets by countryside or city surroundings people.
The shape, color, and strong spicy flavor of Piquin inspired their use as a mutation HotSpot marker.

Images taken from El Gráfico and EXPRESO.

These hotspots were generated by a beta-binomial model with fixed effects, then filtered by FDR q-value < 0.01 or mutations >= 7.
Choose a row from the below table to access the detail view or click the '+' sign to show more options.

---

This page contains all 'raw' detected spots having 4 or more occurrences (23,198). Click load button to confirm. It may take some seconds.
Load 'raw' data

---

The information about the columns shown in both tables for PUTATIVE HOTSPOTS are:

Gene	The official gene symbol.
aaPos	Amino acid position.
nMut	Total number of mutations in the hotspot.
p	The p value of being a hotspot mutation under the Beta-Binomial model described and referred in the paper .
q	The false discovery rate (FDR) correction of the p-value above.
ProtMut	The aminoacid consequences of the mutations.
Prot2Mut	The aminoacid consequences of the mutations (aa in 3 letter code).
CanMut	The number of mutations per cancer type.
ConseqMut	The consequence of the mutations.
Hotness	a graphical representation of the p column from the Beta-Binomial model.
StemStrength	The strength of the hairpin estimated for that hotspot under the hairpin model.
SSLoopPos	Amino acid position.
SSLoopLen	Amino acid position.
Transcript	The transcript annotation used for aminoacid consequences and positions.
SynSites	The number of synonymous sites estimated at the gene-level.
NonSynSites	The number of non-synonymous sites estimated at the gene-level.
MC.nsyn	The number of synonymous mutations used for Martincorena et al. Cell 2017.
MC.nmis	The number of missense mutations used for Martincorena et al. Cell 2017.
MC.nnon	The number of non-sense mutations used for Martincorena et al. Cell 2017.
MC.nspl	The number of splicing mutations used for Martincorena et al. Cell 2017.
MC.nind	The number of indel mutations used for Martincorena et al. Cell 2017.
MC.wmiscv	The estimations of dN/dS for missense mutations from Martincorena et al. Cell 2017.
MC.wnoncv	The estimations of dN/dS for non-sense mutations from Martincorena et al. Cell 2017.
MC.wsplcv	The estimations of dN/dS for splicing mutations from Martincorena et al. Cell 2017.
MC.windcv	The estimations of dN/dS for indel mutations from Martincorena et al. Cell 2017.
MC.pmiscv	The p-value of dN/dS for missense mutations from Martincorena et al. Cell 2017.
MC.ptrunccv	The p-value of dN/dS for non-sense mutations from Martincorena et al. Cell 2017.
MC.pallsubscv	The p-value of dN/dS for splicing mutations from Martincorena et al. Cell 2017.
MC.pindcv	The p-value of dN/dS for indel mutations from Martincorena et al. Cell 2017.
MC.qmiscv	The q-value of dN/dS for missense mutations from Martincorena et al. Cell 2017.
MC.qtrunccv	The q-value of dN/dS for non-sense mutations from Martincorena et al. Cell 2017.
MC.qallsubscv	The q-value of dN/dS for splicing mutations from Martincorena et al. Cell 2017.
MC.pglobalcv	The global p-value of dN/dS from Martincorena et al. Cell 2017.
MC.qglobalcv	The global q-value of dN/dS from Martincorena et al. Cell 2017.
Community Notes	The total number of notes added by users.

Hotspots: Download (~ 1.5Mb)
Warmspots:Download (~ 7.3Mb)