feat(datasets): adding new variant annotation model

.vscode/settings.json

@@ -25,5 +25,8 @@
   "python.testing.pytestEnabled": true,
   "mypy-type-checker.severity": {
     "error": "Information"
-  }
+  },
+  "yaml.extension.recommendations": false,
+  "workbench.remoteIndicator.showExtensionRecommendations": false,
+  "extensions.ignoreRecommendations": true
 }

config/datasets/ot_gcp.yaml

@@ -37,13 +37,13 @@ gnomad_public_bucket: gs://gcp-public-data--gnomad/release/
 ld_matrix_template: ${datasets.gnomad_public_bucket}/2.1.1/ld/gnomad.genomes.r2.1.1.{POP}.common.adj.ld.bm
 ld_index_raw_template: ${datasets.gnomad_public_bucket}/2.1.1/ld/gnomad.genomes.r2.1.1.{POP}.common.ld.variant_indices.ht
 liftover_ht_path: ${datasets.gnomad_public_bucket}/2.1.1/liftover_grch38/ht/genomes/gnomad.genomes.r2.1.1.sites.liftover_grch38.ht
-# variant_annotation
+# GnomAD variant set:
 gnomad_genomes_path: ${datasets.gnomad_public_bucket}4.0/ht/genomes/gnomad.genomes.v4.0.sites.ht/
 
 # Others
 chain_38_37: gs://hail-common/references/grch38_to_grch37.over.chain.gz
 chain_37_38: ${datasets.static_assets}/grch37_to_grch38.over.chain
-vep_consequences: ${datasets.static_assets}/vep_consequences.tsv
+vep_consequences: ${datasets.static_assets}/variant_consequence_to_score.tsv
 anderson: ${datasets.static_assets}/andersson2014/enhancer_tss_associations.bed
 javierre: ${datasets.static_assets}/javierre_2016_preprocessed
 jung: ${datasets.static_assets}/jung2019_pchic_tableS3.csv
@@ -55,7 +55,7 @@ finngen_finemapping_results_path: ${datasets.inputs}/Finngen_susie_finemapping_r
 finngen_finemapping_summaries_path: ${datasets.inputs}/Finngen_susie_finemapping_r10/Finngen_susie_credset_summary_r10.tsv
 
 # Dev output datasets
-variant_annotation: ${datasets.outputs}/variant_annotation
+gnomad_variants: ${datasets.outputs}/gnomad_variants
 study_locus: ${datasets.outputs}/study_locus
 summary_statistics: ${datasets.outputs}/summary_statistics
 study_locus_overlap: ${datasets.outputs}/study_locus_overlap
@@ -68,6 +68,8 @@ catalog_study_locus: ${datasets.study_locus}/catalog_study_locus
 from_sumstats_study_locus: ${datasets.study_locus}/from_sumstats
 from_sumstats_pics: ${datasets.credible_set}/from_sumstats
 
+vep_output_path: gs://genetics_etl_python_playground/vep/full_variant_index_vcf
+
 # ETL output datasets:
 l2g_gold_standard_curation: ${datasets.release_folder}/locus_to_gene_gold_standard.json
 l2g_model: ${datasets.release_folder}/locus_to_gene_model/classifier.skops
@@ -78,4 +80,4 @@ study_index: ${datasets.release_folder}/study_index
 variant_index: ${datasets.release_folder}/variant_index
 credible_set: ${datasets.release_folder}/credible_set
 gene_index: ${datasets.release_folder}/gene_index
-v2g: ${datasets.release_folder}/variant_to_gene
+variant_to_gene: ${datasets.release_folder}/variant_to_gene

config/step/ot_variant_index.yaml

@@ -1,6 +1,6 @@
 defaults:
   - variant_index
 
-variant_annotation_path: ${datasets.variant_annotation}
-credible_set_path: ${datasets.credible_set}
+vep_output_json_path: ${datasets.vep_output_path}
+gnomad_variant_annotations_path: ${datasets.gnomad_variants}
 variant_index_path: ${datasets.variant_index}

config/step/ot_variant_to_gene.yaml

@@ -2,7 +2,6 @@ defaults:
   - variant_to_gene
 
 variant_index_path: ${datasets.variant_index}
-variant_annotation_path: ${datasets.variant_annotation}
 gene_index_path: ${datasets.gene_index}
 vep_consequences_path: ${datasets.vep_consequences}
 liftover_chain_file_path: ${datasets.chain_37_38}
@@ -11,4 +10,4 @@ interval_sources:
   javierre: ${datasets.javierre}
   jung: ${datasets.jung}
   thurman: ${datasets.thurman}
-v2g_path: ${datasets.v2g}
+v2g_path: ${datasets.variant_to_gene}

docs/python_api/datasources/_datasources.md

@@ -23,7 +23,8 @@ This section contains information about the data source harmonisation tools avai
 ## Variant annotation/validation
 
 1. [GnomAD](gnomad/_gnomad.md) v4.0
-1. GWAS catalog harmonisation pipeline [more info](https://www.ebi.ac.uk/gwas/docs/methods/summary-statistics#_harmonised_summary_statistics_data)
+2. GWAS catalog's [harmonisation pipeline](https://www.ebi.ac.uk/gwas/docs/methods/summary-statistics#_harmonised_summary_statistics_data)
+3. Ensembl's [Variant Effect Predictor](https://www.ensembl.org/info/docs/tools/vep/index.html)
 
 ## Linkage desiquilibrium
 

docs/python_api/datasources/ensembl/_ensembl.md

@@ -0,0 +1,10 @@
+---
+title: Ensembl annotations
+---
+
+<div align="center">
+  <img width="100" height="100" src="../../../../assets/imgs/ensembl_logo.png">
+  <h1>Ensembl</h1>
+</div>
+
+[Ensembl](https://www.ensembl.org/index.html) provides a diverse set of genetic data Gentropy takes advantage of including gene set, and variant annotations.

docs/python_api/datasources/ensembl/variant_effect_predictor_parser.md

@@ -0,0 +1,5 @@
+---
+title: Variant effector parser
+---
+
+::: gentropy.datasource.ensembl.vep_parser.VariantEffectPredictorParser

docs/python_api/steps/ld_index.md

@@ -1,5 +1,5 @@
 ---
-title: ld_index
+title: GnomAD Linkage data ingestion
 ---
 
-::: gentropy.ld_index.LDIndexStep
+::: gentropy.gnomad_ingestion.LDIndexStep

docs/python_api/steps/variant_annotation_step.md

@@ -1,5 +1,5 @@
 ---
-title: variant_annotation
+title: GnomAD variant data ingestion
 ---
 
-::: gentropy.variant_annotation.VariantAnnotationStep
+::: gentropy.gnomad_ingestion.GnomadVariantIndexStep

docs/python_api/steps/variant_to_gene_step.md

@@ -2,4 +2,4 @@
 title: variant_to_gene
 ---
 
-::: gentropy.v2g.V2GStep
+::: gentropy.variant_to_gene.V2GStep

src/airflow/dags/gnomad_preprocess.py

@@ -1,4 +1,4 @@
-"""Airflow DAG for the Preprocess part of the pipeline."""
+"""Airflow DAG for the Preprocess GnomAD datasets - LD index and GnomAD variant set."""
 
 from __future__ import annotations
 
@@ -11,13 +11,13 @@
 
 ALL_STEPS = [
     "ot_ld_index",
-    "ot_variant_annotation",
+    "ot_gnomad_variants",
 ]
 
 
 with DAG(
     dag_id=Path(__file__).stem,
-    description="Open Targets Genetics — Preprocess",
+    description="Open Targets Genetics — GnomAD Preprocess",
     default_args=common.shared_dag_args,
     **common.shared_dag_kwargs,
 ):

src/gentropy/assets/data/so_mappings.json

@@ -0,0 +1,43 @@
+{
+  "transcript_ablation": "SO_0001893",
+  "splice_acceptor_variant": "SO_0001574",
+  "splice_donor_variant": "SO_0001575",
+  "stop_gained": "SO_0001587",
+  "frameshift_variant": "SO_0001589",
+  "stop_lost": "SO_0001578",
+  "start_lost": "SO_0002012",
+  "transcript_amplification": "SO_0001889",
+  "feature_elongation": "SO_0001907",
+  "feature_truncation": "SO_0001906",
+  "inframe_insertion": "SO_0001821",
+  "inframe_deletion": "SO_0001822",
+  "missense_variant": "SO_0001583",
+  "protein_altering_variant": "SO_0001818",
+  "splice_donor_5th_base_variant": "SO_0001787",
+  "splice_region_variant": "SO_0001630",
+  "splice_donor_region_variant": "SO_0002170",
+  "splice_polypyrimidine_tract_variant": "SO_0002169",
+  "incomplete_terminal_codon_variant": "SO_0001626",
+  "start_retained_variant": "SO_0002019",
+  "stop_retained_variant": "SO_0001567",
+  "synonymous_variant": "SO_0001819",
+  "coding_sequence_variant": "SO_0001580",
+  "mature_miRNA_variant": "SO_0001620",
+  "5_prime_UTR_variant": "SO_0001623",
+  "3_prime_UTR_variant": "SO_0001624",
+  "non_coding_transcript_exon_variant": "SO_0001792",
+  "intron_variant": "SO_0001627",
+  "NMD_transcript_variant": "SO_0001621",
+  "non_coding_transcript_variant": "SO_0001619",
+  "coding_transcript_variant": "SO_0001968",
+  "upstream_gene_variant": "SO_0001631",
+  "downstream_gene_variant": "SO_0001632",
+  "TFBS_ablation": "SO_0001895",
+  "TFBS_amplification": "SO_0001892",
+  "TF_binding_site_variant": "SO_0001782",
+  "regulatory_region_ablation": "SO_0001894",
+  "regulatory_region_amplification": "SO_0001891",
+  "regulatory_region_variant": "SO_0001566",
+  "intergenic_variant": "SO_0001628",
+  "sequence_variant": "SO_0001060"
+}