Genome-wide methylation data improves dissection of the effect of smoking on body mass index.

Variation in obesity-related traits has a genetic basis with heritabilities between 40 and 70%. While the global obesity pandemic is usually associated with environmental changes related to lifestyle and socioeconomic changes, most genetic studies do not include all relevant environmental covariates...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Carmen Amador, Yanni Zeng, Michael Barber, Rosie M Walker, Archie Campbell, Andrew M McIntosh, Kathryn L Evans, David J Porteous, Caroline Hayward, James F Wilson, Pau Navarro, Chris S Haley
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Genetics QH426-470
Acceso en línea:	https://doaj.org/article/f2dd35f0556e4a768423872ae0b26f35
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:f2dd35f0556e4a768423872ae0b26f35
record_format	dspace
spelling	oai:doaj.org-article:f2dd35f0556e4a768423872ae0b26f352021-12-02T20:03:20ZGenome-wide methylation data improves dissection of the effect of smoking on body mass index.1553-73901553-740410.1371/journal.pgen.1009750https://doaj.org/article/f2dd35f0556e4a768423872ae0b26f352021-09-01T00:00:00Zhttps://doi.org/10.1371/journal.pgen.1009750https://doaj.org/toc/1553-7390https://doaj.org/toc/1553-7404Variation in obesity-related traits has a genetic basis with heritabilities between 40 and 70%. While the global obesity pandemic is usually associated with environmental changes related to lifestyle and socioeconomic changes, most genetic studies do not include all relevant environmental covariates, so the genetic contribution to variation in obesity-related traits cannot be accurately assessed. Some studies have described interactions between a few individual genes linked to obesity and environmental variables but there is no agreement on their total contribution to differences between individuals. Here we compared self-reported smoking data and a methylation-based proxy to explore the effect of smoking and genome-by-smoking interactions on obesity related traits from a genome-wide perspective to estimate the amount of variance they explain. Our results indicate that exploiting omic measures can improve models for complex traits such as obesity and can be used as a substitute for, or jointly with, environmental records to better understand causes of disease.Carmen AmadorYanni ZengMichael BarberRosie M WalkerArchie CampbellAndrew M McIntoshKathryn L EvansDavid J PorteousCaroline HaywardJames F WilsonPau NavarroChris S HaleyPublic Library of Science (PLoS)articleGeneticsQH426-470ENPLoS Genetics, Vol 17, Iss 9, p e1009750 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Genetics QH426-470
spellingShingle	Genetics QH426-470 Carmen Amador Yanni Zeng Michael Barber Rosie M Walker Archie Campbell Andrew M McIntosh Kathryn L Evans David J Porteous Caroline Hayward James F Wilson Pau Navarro Chris S Haley Genome-wide methylation data improves dissection of the effect of smoking on body mass index.
description	Variation in obesity-related traits has a genetic basis with heritabilities between 40 and 70%. While the global obesity pandemic is usually associated with environmental changes related to lifestyle and socioeconomic changes, most genetic studies do not include all relevant environmental covariates, so the genetic contribution to variation in obesity-related traits cannot be accurately assessed. Some studies have described interactions between a few individual genes linked to obesity and environmental variables but there is no agreement on their total contribution to differences between individuals. Here we compared self-reported smoking data and a methylation-based proxy to explore the effect of smoking and genome-by-smoking interactions on obesity related traits from a genome-wide perspective to estimate the amount of variance they explain. Our results indicate that exploiting omic measures can improve models for complex traits such as obesity and can be used as a substitute for, or jointly with, environmental records to better understand causes of disease.
format	article
author	Carmen Amador Yanni Zeng Michael Barber Rosie M Walker Archie Campbell Andrew M McIntosh Kathryn L Evans David J Porteous Caroline Hayward James F Wilson Pau Navarro Chris S Haley
author_facet	Carmen Amador Yanni Zeng Michael Barber Rosie M Walker Archie Campbell Andrew M McIntosh Kathryn L Evans David J Porteous Caroline Hayward James F Wilson Pau Navarro Chris S Haley
author_sort	Carmen Amador
title	Genome-wide methylation data improves dissection of the effect of smoking on body mass index.
title_short	Genome-wide methylation data improves dissection of the effect of smoking on body mass index.
title_full	Genome-wide methylation data improves dissection of the effect of smoking on body mass index.
title_fullStr	Genome-wide methylation data improves dissection of the effect of smoking on body mass index.
title_full_unstemmed	Genome-wide methylation data improves dissection of the effect of smoking on body mass index.
title_sort	genome-wide methylation data improves dissection of the effect of smoking on body mass index.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/f2dd35f0556e4a768423872ae0b26f35
work_keys_str_mv	AT carmenamador genomewidemethylationdataimprovesdissectionoftheeffectofsmokingonbodymassindex AT yannizeng genomewidemethylationdataimprovesdissectionoftheeffectofsmokingonbodymassindex AT michaelbarber genomewidemethylationdataimprovesdissectionoftheeffectofsmokingonbodymassindex AT rosiemwalker genomewidemethylationdataimprovesdissectionoftheeffectofsmokingonbodymassindex AT archiecampbell genomewidemethylationdataimprovesdissectionoftheeffectofsmokingonbodymassindex AT andrewmmcintosh genomewidemethylationdataimprovesdissectionoftheeffectofsmokingonbodymassindex AT kathrynlevans genomewidemethylationdataimprovesdissectionoftheeffectofsmokingonbodymassindex AT davidjporteous genomewidemethylationdataimprovesdissectionoftheeffectofsmokingonbodymassindex AT carolinehayward genomewidemethylationdataimprovesdissectionoftheeffectofsmokingonbodymassindex AT jamesfwilson genomewidemethylationdataimprovesdissectionoftheeffectofsmokingonbodymassindex AT paunavarro genomewidemethylationdataimprovesdissectionoftheeffectofsmokingonbodymassindex AT chrisshaley genomewidemethylationdataimprovesdissectionoftheeffectofsmokingonbodymassindex
_version_	1718375696850485248

Genome-wide methylation data improves dissection of the effect of smoking on body mass index.

Ejemplares similares