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@@ -10,7 +10,7 @@ Missense variants considered "Pathogenic" by human labelers.
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  Regulatory variants considered "Pathogenic" by human labelers, curated in [this paper](https://doi.org/10.1016/j.ajhg.2016.07.005).
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  **gnomAD**:
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- A subset of rare (MAC=1) and common (MAF > 1%) variants from different categories.
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  ## Usage
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  ```python
@@ -19,6 +19,17 @@ from datasets import load_dataset
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  dataset = load_dataset("songlab/human_variants", split="test")
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  ```
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- Subset to compare ClinVar Pathogenic missense vs. gnomAD common missense (here we define common as MAF > 5%):
 
 
 
 
 
 
 
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  ```
 
 
 
 
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  ```
 
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  Regulatory variants considered "Pathogenic" by human labelers, curated in [this paper](https://doi.org/10.1016/j.ajhg.2016.07.005).
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  **gnomAD**:
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+ A subset of rare (MAC=1) and common (MAF > 1%) variants from different categories (missense, synonymous, ncRNA, intronic, upstream, etc.).
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  ## Usage
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  ```python
 
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  dataset = load_dataset("songlab/human_variants", split="test")
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  ```
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+ Subset for comparing ClinVar Pathogenic missense vs. gnomAD common (MAF > 5%) missense (can specify `num_proc` to speed up):
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+ ```python
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+ dataset = dataset.filter(lambda v: v["source"]=="ClinVar" or (v["source"]=="gnomAD" and "missense" in v["consequence"] and v["MAF"] > 5/100))
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+ ```
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+
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+ Subset for comparing OMIM Pathogenic regulatory vs. gnomAD common (MAF > 5%) regulatory:
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+ ```python
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+ dataset = dataset.filter(lambda v: v["source"]=="OMIM" or (v["source"]=="gnomAD" and "missense" not in v["consequence"] and v["MAF"] > 5/100))
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  ```
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+
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+ Subset for comparing gnomAD rare vs. gnomAD common (MAF > 1%):
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+ ```python
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+ dataset = dataset.filter(lambda v: v["source"]=="gnomAD")
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  ```