Nasal DNA methylation at three CpG sites predicts childhood allergic disease

We used machine learning models to systematically integrate large-scale multi-omics data from genomics, DNA methylation in blood, and nasal and environmental factors. We firstly evaluated the prediction power of each omics layer and identified that the prediction power was largely attributed to nasal methylation. We further built a prediction model based on only three nasal CpG sites that can predict childhood allergic disease.

Data and Resources

This dataset has no data

Additional Info

Field Value
Title Nasal DNA methylation at three CpG sites predicts childhood allergic disease
Description

We used machine learning models to systematically integrate large-scale multi-omics data from genomics, DNA methylation in blood, and nasal and environmental factors. We firstly evaluated the prediction power of each omics layer and identified that the prediction power was largely attributed to nasal methylation. We further built a prediction model based on only three nasal CpG sites that can predict childhood allergic disease.
Keywords
Contact points
Contact point 1
URI
http://umcgresearchdatacatalogue.nl/catalogue_rdf/api/rdf/Contacts/firstName=Gerard&lastName=Koppelman&resource=EGAS00001005189
Name
Gerard Koppelman
Name (translations)
Email
g.h.koppelman@umcg.nl
Identifier
URL
Publisher
Publisher 1
URI
http://umcgresearchdatacatalogue.nl/catalogue_rdf/api/rdf/Agents/id=UMCG&resource=EGAS00001005189
Name
University Medical Center Groningen
Name (translations)
Email
researchdatacatalogue@umcg.nl
URL
https://www.umcg.nl/
Type
Identifier
https://ror.org/03cv38k47
Creator
Creator 1
URI
http://umcgresearchdatacatalogue.nl/catalogue_rdf/api/rdf/Agents/id=UMCG&resource=EGAS00001005189
Name
University Medical Center Groningen
Name (translations)
Email
researchdatacatalogue@umcg.nl
URL
https://www.umcg.nl/
Type
Identifier
https://ror.org/03cv38k47
Landing page https://ega-archive.org/studies/EGAS00001005189
Release date
Modification date
Temporal start date
Temporal end date
In Series
    Version
    Version notes
    Identifier https://metadata.ega-archive.org/studies/EGAS00001005189
    Frequency
    Provenance
    Type
    Temporal coverage
    Temporal resolution
    Spatial coverage
    Spatial resolution in meters
    Access rights http://publications.europa.eu/resource/authority/access-right/NON_PUBLIC
    Other identifier
    Theme
    1. http://publications.europa.eu/resource/authority/data-theme/HEAL
    Language
    Documentation
    Conforms to
    Is referenced by
    Analytics
    Applicable legislation
    1. http://data.europa.eu/eli/reg/2022/868/oj
    Has version
    Code values
    Coding system
    Purpose
    Health category
    Health theme
    Legal basis
    Minimum typical age
    Maximum typical age
    Number of records
    Number of records for unique individuals.
    Personal data
    Publisher note
    Publisher type
    Trusted Data Holder
    Population coverage
    Retention period
    Health data access body
    Qualified relation
    Provenance activity
    Qualified attribution
    Quality annotations
    URI http://umcgresearchdatacatalogue.nl/catalogue_rdf/api/rdf/Resources/id=EGAS00001005189