An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairs

We combined clinical, cytokine, genomic, methylation and dietary data from 43 young adult monozygotic twin pairs (aged 22–36 years, 53% female), where 25 of the twin pairs were substantially weight discordant (delta body mass index > 3 kg m(−2)). These measurements were originally taken as part o...

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Detalles Bibliográficos
Autores principales: Kibble, Milla, Khan, Suleiman A., Ammad-ud-din, Muhammad, Bollepalli, Sailalitha, Palviainen, Teemu, Kaprio, Jaakko, Pietiläinen, Kirsi H., Ollikainen, Miina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2020
Materias:
Genetics and Genomics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7657920/
https://www.ncbi.nlm.nih.gov/pubmed/33204460
http://dx.doi.org/10.1098/rsos.200872

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7657920/
https://www.ncbi.nlm.nih.gov/pubmed/33204460
http://dx.doi.org/10.1098/rsos.200872

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