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FATHMM

Functional Analysis through Hidden Markov Models (FATHMM) is a precomputed dataset used by ICGC to do functional impact prediction on mutations.

Overview

FATHMM is a project with its own website which can be found here: http://fathmm.biocompute.org.uk/

The dataset is a MySQL database dump and is available here: http://fathmm.biocompute.org.uk/database/fathmm.v2.3.SQL.gz

However, since the DCC uses Postgres for relational storage, we have needed to convert the dump into PSQL compatabile format. This can be found here:

https://artifacts.oicr.on.ca/artifactory/dcc-binaries/fathmm-db/2.3/fathmm.v2.3.postgres.tar.gz

Purpose

FATHMM is used to do functional impact prediction for mutations of missense_variant consequences. We feed the predictor a translation_id and mutation aa_change, and we get a result that is one of {TOLERATED, HIGH, UNKNOWN} as the output.

Data Import

Import the dataset into Postgresql database

  • Extract the database dump files from the gz archive
  • Copy the appropriate dump files to the database server
  • Run psql fathmm < fathmm.v2.3.postgres.sql, the dump file will be around 20GB uncompressed, expect the import to take 3-4 hours.
  • The SQL dump may have a few issues, we need to manually patch some of the tables and sequences before we can use FATHMM, see Patch section below.

If within OICR, A backup of FATHMM dump files and the patch can be found under

  • /nfs/backups/workspace/fathmm

DCC_CACHE

DCC_CACHE is a cache table that stores {translation_id, aa_change} -> prediction key value pairs. Before we run the actual prediction lookup, we will check if the result already exist in DCC_CACHE first. Please note that when updating to another version of FATHMM dataset, DCC_CACHE needs to be cleared to ensure data correctness.

ICGC Patch

The patch (also in the tarball) creates a DCC_CACHE table and make sure the permissions are correct.

create index i1 on "DOMAINS" (id);
create index i2 on "DOMAINS" (hmm);

create table "DCC_CACHE" (
   "translation_id" varchar(64) NOT NULL,
   "aa_mutation" varchar(64) NOT NULL,
   "score" varchar(16),
   "prediction" varchar(16)
);

create index c1 on "DCC_CACHE" (translation_id, aa_mutation);


grant select, insert on "DOMAINS" to dcc;
grant select, insert on "LIBRARY" to dcc;
grant select, insert on "PHENOTYPES" to dcc;
grant select, insert on "PROBABILITIES" to dcc;
grant select, insert on "PROTEIN" to dcc;
grant select, insert on "SEQUENCE" to dcc;
grant select, insert on "VARIANTS" to dcc;
grant select, insert on "WEIGHTS" to dcc;
grant select, insert on "DCC_CACHE" to dcc;