Add genetics ETL step to generate association data

[DSuveges]

The genetics ETL aggregates l2g prediction and study data to build disease/target evidence. This dataset is picked up by the platform ETL to integrate with other evidence sources to build disease/target association. To evaluate the performance of l2g prediction it is desirable to work with the association data, however that requires a full ETL run, which makes l2g iteration very slow.

The aim of this issue is to add a step to gentropy, and submsequently add one more task to the ETL orchestration to build direct and indirect evidence dataset.

• Direct associations: take evidence, groupby target/disease and apply a harmonic sum on the l2g scores.
• Indirect associations: take evidence join with diease index, explode parent terms, group by target/parent disease and apply a harmonic sum on the l2g scores.

These two datasets needs to be saved as parquet files together with other ETL output. Important: this dataset is not ingested by the platform ETL.