I am putting this question because I did not find any useful information from internet because of limited access. My question is related to control (or normal) data that we use for somatic mutation detection (with the help of mutect or SomaticSnipper etc) with tumor data.

I don't have control data and my aim is to find somatic mutations in Multiple myeloma WES caner data.

Here are the questions:

Can we use Hg19 as a control data? If not, what are the technical reasons of not using hg19 as a control data because it hg19 is consensus call.

Is there any way to infer (or predict) somatic mutations (either statistically or by something else) out of all possible mutations? For this reason, I want to know what information is given in control data.

• Could you explain what articles or what research have you done to answer this questions. Also this is a list of questions, could you focus on one and open another post with others (ie question 5 is unrelated to question 1-4), so ask it in other posts (but be aware that you should show your research in each question you post)
– llrs
Apr 6, 2018 at 7:18
• @Llopis: Thanks for suggestion. I tried to add more descriptions and make it more valuable. Apr 6, 2018 at 9:22

annotate_variation.pl -downdb -webfrom annovar -build hg19 exac03 humandb/