ncbi_gene.omim_gene_relationships
import bedrock_bio as bb
rel = bb.load_table('ncbi_gene.omim_gene_relationships')
df = rel.limit(5).pl() # Polars
df = rel.limit(5).df() # Pandas
df.head()| sources | omim_number | gene_id | |
|---|---|---|---|
| 0 | [{'url': 'https://ftp.ncbi.nlm.nih.gov/gene/DA... | 100640 | 216 |
| 1 | [{'url': 'https://ftp.ncbi.nlm.nih.gov/gene/DA... | 100650 | 217 |
| 2 | [{'url': 'https://ftp.ncbi.nlm.nih.gov/gene/DA... | 100660 | 218 |
| 3 | [{'url': 'https://ftp.ncbi.nlm.nih.gov/gene/DA... | 100670 | 219 |
| 4 | [{'url': 'https://ftp.ncbi.nlm.nih.gov/gene/DA... | 100678 | 39 |
library(bedrockbio)
lf <- load_table("ncbi_gene.omim_gene_relationships")
df <- head(lf, 5) |> collect()
head(df)Sample output (5 rows, showing 2 of 3 columns) omim_number | gene_id ----------- | ------- 0 100640 | 216 1 100650 | 217 2 100660 | 218 3 100670 | 219 4 100678 | 39
Description
Section titled “Description”Curated relationships between OMIM gene entries and NCBI Gene records.
OMIM identifiers are catalog-entry identifiers, not necessarily one-to-one equivalents of NCBI Gene IDs.
These relationships do not include MedGen concepts, association sources, or qualifier comments.
Partitions
Section titled “Partitions”Not partitioned.
Schema
Section titled “Schema”| Column | Type | Description |
|---|---|---|
sources |
STRUCT(url TEXT, filename TEXT, last_modified_at TIMESTAMPTZ, sha256 TEXT)[] |
Source provenance for the row. |
omim_number |
TEXT |
Six-digit identifier for an OMIM gene entry. |
gene_id |
TEXT |
NCBI Gene identifier associated with the OMIM gene entry. |