Ethnicity¶
lamindb provides access to the following public Ethnicity ontologies through bionty:
Here we show how to access and search Ethnicity ontologies to standardize new data.
import bionty as bt
import pandas as pd
PublicOntology objects¶
Let us create a public ontology accessor with .public
method, which chooses a default public ontology source from Source
.
It’s a PublicOntology object, which you can think about as a public registry:
ethnicitys = bt.Ethnicity.public(organism="human")
ethnicitys
💡 connected lamindb: testuser1/test-public-ontologies
PublicOntology
Entity: Ethnicity
Organism: human
Source: hancestro, 3.0
#terms: 342
As for registries, you can export the ontology as a DataFrame
:
df = ethnicitys.df()
df.head()
name | definition | synonyms | parents | |
---|---|---|---|---|
ontology_id | ||||
HANCESTRO:0002 | region | Any Geographic Area Greater Than An Individual... | geographical area | [] |
HANCESTRO:0003 | country | A Collective Generic Term That Refers Here To ... | None | [] |
HANCESTRO:0004 | ancestry category | Population Category Defined Using Ancestry Inf... | ancestral group | [] |
HANCESTRO:0005 | European | Includes Individuals Who Either Self-Report Or... | Caucasian|white | [HANCESTRO:0004] |
HANCESTRO:0006 | South Asian | Includes Individuals Who Either Self-Report Or... | None | [HANCESTRO:0008] |
Unlike registries, you can also export it as a Pronto object via public.ontology
.
Look up terms¶
As for registries, terms can be looked up with auto-complete:
lookup = ethnicitys.lookup()
The .
accessor provides normalized terms (lower case, only contains alphanumeric characters and underscores):
lookup.american
Ethnicity(ontology_id='HANCESTRO:0463', name='American', definition=None, synonyms=None, parents=array(['HANCESTRO:0566'], dtype=object))
To look up the exact original strings, convert the lookup object to dict and use the []
accessor:
lookup_dict = lookup.dict()
lookup_dict["American"]
Ethnicity(ontology_id='HANCESTRO:0463', name='American', definition=None, synonyms=None, parents=array(['HANCESTRO:0566'], dtype=object))
By default, the name
field is used to generate lookup keys. You can specify another field to look up:
lookup = ethnicitys.lookup(ethnicitys.ontology_id)
lookup.hancestro_0463
Ethnicity(ontology_id='HANCESTRO:0463', name='American', definition=None, synonyms=None, parents=array(['HANCESTRO:0566'], dtype=object))
Search terms¶
Search behaves in the same way as it does for registries:
ethnicitys.search("American").head(3)
ontology_id | definition | synonyms | parents | __ratio__ | |
---|---|---|---|---|---|
name | |||||
American | HANCESTRO:0463 | None | None | [HANCESTRO:0566] | 100.0 |
African American | HANCESTRO:0568 | None | None | [HANCESTRO:0016] | 90.0 |
African American or Afro-Caribbean | HANCESTRO:0016 | Includes Individuals Who Either Self-Report Or... | None | [HANCESTRO:0004] | 90.0 |
By default, search also covers synonyms:
ethnicitys.search("Caucasian").head(3)
ontology_id | definition | synonyms | parents | __ratio__ | |
---|---|---|---|---|---|
name | |||||
European | HANCESTRO:0005 | Includes Individuals Who Either Self-Report Or... | Caucasian|white | [HANCESTRO:0004] | 100.0 |
Asian | HANCESTRO:0008 | Includes Individuals That Either Self-Report O... | Asian unspecified | [HANCESTRO:0004] | 90.0 |
Asia | HANCESTRO:0030 | None | None | [] | 90.0 |
You can turn this off synonym by passing synonyms_field=None
:
ethnicitys.search("Caucasian", synonyms_field=None).head(3)
ontology_id | definition | synonyms | parents | __ratio__ | |
---|---|---|---|---|---|
name | |||||
Asian | HANCESTRO:0008 | Includes Individuals That Either Self-Report O... | Asian unspecified | [HANCESTRO:0004] | 90.0 |
Asia | HANCESTRO:0030 | None | None | [] | 90.0 |
Syrian | HANCESTRO:0461 | None | None | [HANCESTRO:0015] | 72.0 |
Search another field (default is .name
):
ethnicitys.search(
"General characterisation of Ancestry of a population",
field=ethnicitys.definition,
).head()
ontology_id | name | synonyms | parents | __ratio__ | |
---|---|---|---|---|---|
definition | |||||
General Characterisation Of The Ancestry Of A Population Or Individual | HANCESTRO:0304 | ancestry status | None | [] | 85.245902 |
A Population With Increased Genetic Homogeneity And Reduced Genetic Variation Due To Cultural Or Geographic Isolation | HANCESTRO:0290 | genetically isolated population | founder population|population isolate | [HANCESTRO:0004] | 42.857143 |
Includes Individuals Who Either Self-Report Or Have Been Described By Authors As Singaporean Indian. | HANCESTRO:0598 | Singaporean Indian | None | [HANCESTRO:0487] | 39.735099 |
Includes Individuals Who Either Self-Report Or Have Been Described By Authors As Singaporean Malay. | HANCESTRO:0597 | Singaporean Malay | None | [HANCESTRO:0007] | 38.666667 |
Population Category Defined Using Ancestry Informative Markers (Aims) Based On Genetic/Genomic Data | HANCESTRO:0004 | ancestry category | ancestral group | [] | 38.410596 |
Standardize Ethnicity identifiers¶
Let us generate a DataFrame
that stores a number of Ethnicity identifiers, some of which corrupted:
df_orig = pd.DataFrame(
index=[
"Mende",
"European",
"South Asian",
"Arab",
"This ethnicity does not exist",
]
)
df_orig
Mende |
---|
European |
South Asian |
Arab |
This ethnicity does not exist |
We can check whether any of our values are validated against the ontology reference:
validated = ethnicitys.validate(df_orig.index, ethnicitys.name)
df_orig.index[~validated]
❗ 1 term (20.00%) is not validated: This ethnicity does not exist
Index(['This ethnicity does not exist'], dtype='object')
Ontology source versions¶
For any given entity, we can choose from a number of versions:
bt.Ethnicity.list_source().df()
Show code cell output
uid | entity | organism | name | version | in_db | currently_used | description | url | md5 | source_website | dataframe_artifact_id | run_id | created_by_id | updated_at | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
id | |||||||||||||||
74 | MJRq | bionty.Ethnicity | human | hancestro | 3.0 | False | True | Human Ancestry Ontology | https://github.com/EBISPOT/hancestro/raw/3.0/h... | 76dd9efda9c2abd4bc32fc57c0b755dd | https://github.com/EBISPOT/hancestro | None | None | 1 | 2024-08-05 13:21:58.386946+00:00 |
# only lists the sources that are currently used
bt.Ethnicity.list_source(currently_used=True).df()
uid | entity | organism | name | version | in_db | currently_used | description | url | md5 | source_website | dataframe_artifact_id | run_id | created_by_id | updated_at | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
id | |||||||||||||||
74 | MJRq | bionty.Ethnicity | human | hancestro | 3.0 | False | True | Human Ancestry Ontology | https://github.com/EBISPOT/hancestro/raw/3.0/h... | 76dd9efda9c2abd4bc32fc57c0b755dd | https://github.com/EBISPOT/hancestro | None | None | 1 | 2024-08-05 13:21:58.386946+00:00 |
When instantiating a Bionty object, we can choose a source or version:
source = bt.Source.filter(
name="hancestro", version="3.0", organism="human"
).one()
ethnicitys= bt.Ethnicity.public(source=source)
ethnicitys
PublicOntology
Entity: Ethnicity
Organism: human
Source: hancestro, 3.0
#terms: 342
The currently used ontologies can be displayed using:
bt.Source.filter(currently_used=True).df()
Show code cell output
uid | entity | organism | name | version | in_db | currently_used | description | url | md5 | source_website | dataframe_artifact_id | run_id | created_by_id | updated_at | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
id | |||||||||||||||
1 | 33TU | bionty.Organism | vertebrates | ensembl | release-112 | False | True | Ensembl | https://ftp.ensembl.org/pub/release-112/specie... | 0ec37e77f4bc2d0b0b47c6c62b9f122d | https://www.ensembl.org | None | None | 1 | 2024-08-05 13:21:58.375733+00:00 |
6 | 6bbV | bionty.Organism | bacteria | ensembl | release-57 | False | True | Ensembl | https://ftp.ensemblgenomes.ebi.ac.uk/pub/bacte... | ee28510ed5586ea7ab4495717c96efc8 | https://www.ensembl.org | None | None | 1 | 2024-08-05 13:21:58.376768+00:00 |
7 | 6s9n | bionty.Organism | fungi | ensembl | release-57 | False | True | Ensembl | http://ftp.ensemblgenomes.org/pub/fungi/releas... | dbcde58f4396ab8b2480f7fe9f83df8a | https://www.ensembl.org | None | None | 1 | 2024-08-05 13:21:58.376957+00:00 |
8 | 2PmT | bionty.Organism | metazoa | ensembl | release-57 | False | True | Ensembl | http://ftp.ensemblgenomes.org/pub/metazoa/rele... | 424636a574fec078a61cbdddb05f9132 | https://www.ensembl.org | None | None | 1 | 2024-08-05 13:21:58.377100+00:00 |
9 | 7GPH | bionty.Organism | plants | ensembl | release-57 | False | True | Ensembl | https://ftp.ensemblgenomes.ebi.ac.uk/pub/plant... | eadaa1f3e527e4c3940c90c7fa5c8bf4 | https://www.ensembl.org | None | None | 1 | 2024-08-05 13:21:58.377210+00:00 |
10 | 4tsk | bionty.Organism | all | ncbitaxon | 2023-06-20 | False | True | NCBItaxon Ontology | s3://bionty-assets/df_all__ncbitaxon__2023-06-... | 00d97ba65627f1cd65636d2df22ea76c | https://github.com/obophenotype/ncbitaxon | None | None | 1 | 2024-08-05 13:21:58.377317+00:00 |
11 | 4UGN | bionty.Gene | human | ensembl | release-112 | False | True | Ensembl | s3://bionty-assets/df_human__ensembl__release-... | 4ccda4d88720a326737376c534e8446b | https://www.ensembl.org | None | None | 1 | 2024-08-05 13:21:58.377424+00:00 |
15 | 4r4f | bionty.Gene | mouse | ensembl | release-112 | False | True | Ensembl | s3://bionty-assets/df_mouse__ensembl__release-... | 519cf7b8acc3c948274f66f3155a3210 | https://www.ensembl.org | None | None | 1 | 2024-08-05 13:21:58.377952+00:00 |
19 | 4RPA | bionty.Gene | saccharomyces cerevisiae | ensembl | release-112 | False | True | Ensembl | s3://bionty-assets/df_saccharomyces cerevisiae... | 11775126b101233525a0a9e2dd64edae | https://www.ensembl.org | None | None | 1 | 2024-08-05 13:21:58.378601+00:00 |
22 | 3EYy | bionty.Protein | human | uniprot | 2024-03 | False | True | Uniprot | s3://bionty-assets/df_human__uniprot__2024-03_... | b5b9e7645065b4b3187114f07e3f402f | https://www.uniprot.org | None | None | 1 | 2024-08-05 13:21:58.378914+00:00 |
25 | 01RW | bionty.Protein | mouse | uniprot | 2024-03 | False | True | Uniprot | s3://bionty-assets/df_mouse__uniprot__2024-03_... | b1b6a196eb853088d36198d8e3749ec4 | https://www.uniprot.org | None | None | 1 | 2024-08-05 13:21:58.379352+00:00 |
28 | 3kDh | bionty.CellMarker | human | cellmarker | 2.0 | False | True | CellMarker | s3://bionty-assets/human_cellmarker_2.0_CellMa... | d565d4a542a5c7e7a06255975358e4f4 | http://bio-bigdata.hrbmu.edu.cn/CellMarker | None | None | 1 | 2024-08-05 13:21:58.379886+00:00 |
29 | 7bV5 | bionty.CellMarker | mouse | cellmarker | 2.0 | False | True | CellMarker | s3://bionty-assets/mouse_cellmarker_2.0_CellMa... | 189586732c63be949e40dfa6a3636105 | http://bio-bigdata.hrbmu.edu.cn/CellMarker | None | None | 1 | 2024-08-05 13:21:58.380085+00:00 |
30 | 6LyR | bionty.CellLine | all | clo | 2022-03-21 | False | True | Cell Line Ontology | https://data.bioontology.org/ontologies/CLO/su... | ea58a1010b7e745702a8397a526b3a33 | https://bioportal.bioontology.org/ontologies/CLO | None | None | 1 | 2024-08-05 13:21:58.380229+00:00 |
31 | FxPV | bionty.CellType | all | cl | 2024-02-13 | False | True | Cell Ontology | http://purl.obolibrary.org/obo/cl/releases/202... | d6d962b58c48f372c2c98b71e0833242 | https://obophenotype.github.io/cell-ontology | None | None | 1 | 2024-08-05 13:21:58.380335+00:00 |
36 | Cwzj | bionty.Tissue | all | uberon | 2024-02-20 | False | True | Uberon multi-species anatomy ontology | http://purl.obolibrary.org/obo/uberon/releases... | 2048667b5fdf93192384bdf53cafba18 | http://obophenotype.github.io/uberon | None | None | 1 | 2024-08-05 13:21:58.380844+00:00 |
41 | 5Xov | bionty.Disease | all | mondo | 2024-02-06 | False | True | Mondo Disease Ontology | http://purl.obolibrary.org/obo/mondo/releases/... | 78914fa236773c5ea6605f7570df6245 | https://mondo.monarchinitiative.org | None | None | 1 | 2024-08-05 13:21:58.381353+00:00 |
46 | 4Pd5 | bionty.Disease | human | doid | 2024-01-31 | False | True | Human Disease Ontology | http://purl.obolibrary.org/obo/doid/releases/2... | b36c15a4610757094f8db64b78ae2693 | https://disease-ontology.org | None | None | 1 | 2024-08-05 13:21:58.381857+00:00 |
53 | 5Fi2 | bionty.ExperimentalFactor | all | efo | 3.63.0 | False | True | The Experimental Factor Ontology | http://www.ebi.ac.uk/efo/releases/v3.63.0/efo.owl | 603e6f6981d53d501c5921aa3940b095 | https://bioportal.bioontology.org/ontologies/EFO | None | None | 1 | 2024-08-05 13:21:58.382569+00:00 |
56 | 3405 | bionty.Phenotype | human | hp | 2024-03-06 | False | True | Human Phenotype Ontology | https://github.com/obophenotype/human-phenotyp... | 36b0d00c24a68edb9131707bc146a4c7 | https://hpo.jax.org | None | None | 1 | 2024-08-05 13:21:58.382873+00:00 |
60 | 3oMT | bionty.Phenotype | mammalian | mp | 2024-02-07 | False | True | Mammalian Phenotype Ontology | https://github.com/mgijax/mammalian-phenotype-... | 31c27ed2c7d5774f8b20a77e4e1fd278 | https://github.com/mgijax/mammalian-phenotype-... | None | None | 1 | 2024-08-05 13:21:58.383288+00:00 |
62 | 2K58 | bionty.Phenotype | zebrafish | zp | 2024-01-22 | False | True | Zebrafish Phenotype Ontology | https://github.com/obophenotype/zebrafish-phen... | 01600a5d392419b27fc567362d4cfff8 | https://github.com/obophenotype/zebrafish-phen... | None | None | 1 | 2024-08-05 13:21:58.383489+00:00 |
65 | 3ox8 | bionty.Phenotype | all | pato | 2023-05-18 | False | True | Phenotype And Trait Ontology | http://purl.obolibrary.org/obo/pato/releases/2... | bd472f4971492109493d4ad8a779a8dd | https://github.com/pato-ontology/pato | None | None | 1 | 2024-08-05 13:21:58.386013+00:00 |
66 | 3RSX | bionty.Pathway | all | go | 2023-05-10 | False | True | Gene Ontology | https://data.bioontology.org/ontologies/GO/sub... | e9845499eadaef2418f464cd7e9ac92e | http://geneontology.org | None | None | 1 | 2024-08-05 13:21:58.386124+00:00 |
69 | 3rm9 | BFXPipeline | all | lamin | 1.0.0 | False | True | Bioinformatics Pipeline | s3://bionty-assets/bfxpipelines.json | a7eff57a256994692fba46e0199ffc94 | https://lamin.ai | None | None | 1 | 2024-08-05 13:21:58.386433+00:00 |
70 | 5alK | Drug | all | dron | 2024-03-02 | False | True | Drug Ontology | https://data.bioontology.org/ontologies/DRON/s... | 84138459de4f65034e979f4e46783747 | https://bioportal.bioontology.org/ontologies/DRON | None | None | 1 | 2024-08-05 13:21:58.386533+00:00 |
72 | 7Zm9 | bionty.DevelopmentalStage | human | hsapdv | 2020-03-10 | False | True | Human Developmental Stages | http://aber-owl.net/media/ontologies/HSAPDV/11... | 52181d59df84578ed69214a5cb614036 | https://github.com/obophenotype/developmental-... | None | None | 1 | 2024-08-05 13:21:58.386735+00:00 |
73 | 6vJm | bionty.DevelopmentalStage | mouse | mmusdv | 2020-03-10 | False | True | Mouse Developmental Stages | http://aber-owl.net/media/ontologies/MMUSDV/9/... | 5bef72395d853c7f65450e6c2a1fc653 | https://github.com/obophenotype/developmental-... | None | None | 1 | 2024-08-05 13:21:58.386837+00:00 |
74 | MJRq | bionty.Ethnicity | human | hancestro | 3.0 | False | True | Human Ancestry Ontology | https://github.com/EBISPOT/hancestro/raw/3.0/h... | 76dd9efda9c2abd4bc32fc57c0b755dd | https://github.com/EBISPOT/hancestro | None | None | 1 | 2024-08-05 13:21:58.386946+00:00 |
75 | 5JnV | BioSample | all | ncbi | 2023-09 | False | True | NCBI BioSample attributes | s3://bionty-assets/df_all__ncbi__2023-09__BioS... | 918db9bd1734b97c596c67d9654a4126 | https://www.ncbi.nlm.nih.gov/biosample/docs/at... | None | None | 1 | 2024-08-05 13:21:58.387049+00:00 |