Smoking-by-genotype interaction in type 2 diabetes risk and fasting glucose.

Smoking is a potentially causal behavioral risk factor for type 2 diabetes (T2D), but not all smokers develop T2D. It is unknown whether genetic factors partially explain this variation. We performed genome-environment-wide interaction studies to identify loci exhibiting potential interaction with b...

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Autores principales: Peitao Wu, Denis Rybin, Lawrence F Bielak, Mary F Feitosa, Nora Franceschini, Yize Li, Yingchang Lu, Jonathan Marten, Solomon K Musani, Raymond Noordam, Sridharan Raghavan, Lynda M Rose, Karen Schwander, Albert V Smith, Salman M Tajuddin, Dina Vojinovic, Najaf Amin, Donna K Arnett, Erwin P Bottinger, Ayse Demirkan, Jose C Florez, Mohsen Ghanbari, Tamara B Harris, Lenore J Launer, Jingmin Liu, Jun Liu, Dennis O Mook-Kanamori, Alison D Murray, Mike A Nalls, Patricia A Peyser, André G Uitterlinden, Trudy Voortman, Claude Bouchard, Daniel Chasman, Adolfo Correa, Renée de Mutsert, Michele K Evans, Vilmundur Gudnason, Caroline Hayward, Linda Kao, Sharon L R Kardia, Charles Kooperberg, Ruth J F Loos, Michael M Province, Tuomo Rankinen, Susan Redline, Paul M Ridker, Jerome I Rotter, David Siscovick, Blair H Smith, Cornelia van Duijn, Alan B Zonderman, D C Rao, James G Wilson, Josée Dupuis, James B Meigs, Ching-Ti Liu, Jason L Vassy
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spelling oai:doaj.org-article:2b6f95449b6b4935b0d4624e65bfbe832021-12-02T20:05:47ZSmoking-by-genotype interaction in type 2 diabetes risk and fasting glucose.1932-620310.1371/journal.pone.0230815https://doaj.org/article/2b6f95449b6b4935b0d4624e65bfbe832020-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0230815https://doaj.org/toc/1932-6203Smoking is a potentially causal behavioral risk factor for type 2 diabetes (T2D), but not all smokers develop T2D. It is unknown whether genetic factors partially explain this variation. We performed genome-environment-wide interaction studies to identify loci exhibiting potential interaction with baseline smoking status (ever vs. never) on incident T2D and fasting glucose (FG). Analyses were performed in participants of European (EA) and African ancestry (AA) separately. Discovery analyses were conducted using genotype data from the 50,000-single-nucleotide polymorphism (SNP) ITMAT-Broad-CARe (IBC) array in 5 cohorts from from the Candidate Gene Association Resource Consortium (n = 23,189). Replication was performed in up to 16 studies from the Cohorts for Heart Aging Research in Genomic Epidemiology Consortium (n = 74,584). In meta-analysis of discovery and replication estimates, 5 SNPs met at least one criterion for potential interaction with smoking on incident T2D at p<1x10-7 (adjusted for multiple hypothesis-testing with the IBC array). Two SNPs had significant joint effects in the overall model and significant main effects only in one smoking stratum: rs140637 (FBN1) in AA individuals had a significant main effect only among smokers, and rs1444261 (closest gene C2orf63) in EA individuals had a significant main effect only among nonsmokers. Three additional SNPs were identified as having potential interaction by exhibiting a significant main effects only in smokers: rs1801232 (CUBN) in AA individuals, rs12243326 (TCF7L2) in EA individuals, and rs4132670 (TCF7L2) in EA individuals. No SNP met significance for potential interaction with smoking on baseline FG. The identification of these loci provides evidence for genetic interactions with smoking exposure that may explain some of the heterogeneity in the association between smoking and T2D.Peitao WuDenis RybinLawrence F BielakMary F FeitosaNora FranceschiniYize LiYingchang LuJonathan MartenSolomon K MusaniRaymond NoordamSridharan RaghavanLynda M RoseKaren SchwanderAlbert V SmithSalman M TajuddinDina VojinovicNajaf AminDonna K ArnettErwin P BottingerAyse DemirkanJose C FlorezMohsen GhanbariTamara B HarrisLenore J LaunerJingmin LiuJun LiuDennis O Mook-KanamoriAlison D MurrayMike A NallsPatricia A PeyserAndré G UitterlindenTrudy VoortmanClaude BouchardDaniel ChasmanAdolfo CorreaRenée de MutsertMichele K EvansVilmundur GudnasonCaroline HaywardLinda KaoSharon L R KardiaCharles KooperbergRuth J F LoosMichael M ProvinceTuomo RankinenSusan RedlinePaul M RidkerJerome I RotterDavid SiscovickBlair H SmithCornelia van DuijnAlan B ZondermanD C RaoJames G WilsonJosée DupuisJames B MeigsChing-Ti LiuJason L VassyPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 15, Iss 5, p e0230815 (2020)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Peitao Wu
Denis Rybin
Lawrence F Bielak
Mary F Feitosa
Nora Franceschini
Yize Li
Yingchang Lu
Jonathan Marten
Solomon K Musani
Raymond Noordam
Sridharan Raghavan
Lynda M Rose
Karen Schwander
Albert V Smith
Salman M Tajuddin
Dina Vojinovic
Najaf Amin
Donna K Arnett
Erwin P Bottinger
Ayse Demirkan
Jose C Florez
Mohsen Ghanbari
Tamara B Harris
Lenore J Launer
Jingmin Liu
Jun Liu
Dennis O Mook-Kanamori
Alison D Murray
Mike A Nalls
Patricia A Peyser
André G Uitterlinden
Trudy Voortman
Claude Bouchard
Daniel Chasman
Adolfo Correa
Renée de Mutsert
Michele K Evans
Vilmundur Gudnason
Caroline Hayward
Linda Kao
Sharon L R Kardia
Charles Kooperberg
Ruth J F Loos
Michael M Province
Tuomo Rankinen
Susan Redline
Paul M Ridker
Jerome I Rotter
David Siscovick
Blair H Smith
Cornelia van Duijn
Alan B Zonderman
D C Rao
James G Wilson
Josée Dupuis
James B Meigs
Ching-Ti Liu
Jason L Vassy
Smoking-by-genotype interaction in type 2 diabetes risk and fasting glucose.
description Smoking is a potentially causal behavioral risk factor for type 2 diabetes (T2D), but not all smokers develop T2D. It is unknown whether genetic factors partially explain this variation. We performed genome-environment-wide interaction studies to identify loci exhibiting potential interaction with baseline smoking status (ever vs. never) on incident T2D and fasting glucose (FG). Analyses were performed in participants of European (EA) and African ancestry (AA) separately. Discovery analyses were conducted using genotype data from the 50,000-single-nucleotide polymorphism (SNP) ITMAT-Broad-CARe (IBC) array in 5 cohorts from from the Candidate Gene Association Resource Consortium (n = 23,189). Replication was performed in up to 16 studies from the Cohorts for Heart Aging Research in Genomic Epidemiology Consortium (n = 74,584). In meta-analysis of discovery and replication estimates, 5 SNPs met at least one criterion for potential interaction with smoking on incident T2D at p<1x10-7 (adjusted for multiple hypothesis-testing with the IBC array). Two SNPs had significant joint effects in the overall model and significant main effects only in one smoking stratum: rs140637 (FBN1) in AA individuals had a significant main effect only among smokers, and rs1444261 (closest gene C2orf63) in EA individuals had a significant main effect only among nonsmokers. Three additional SNPs were identified as having potential interaction by exhibiting a significant main effects only in smokers: rs1801232 (CUBN) in AA individuals, rs12243326 (TCF7L2) in EA individuals, and rs4132670 (TCF7L2) in EA individuals. No SNP met significance for potential interaction with smoking on baseline FG. The identification of these loci provides evidence for genetic interactions with smoking exposure that may explain some of the heterogeneity in the association between smoking and T2D.
format article
author Peitao Wu
Denis Rybin
Lawrence F Bielak
Mary F Feitosa
Nora Franceschini
Yize Li
Yingchang Lu
Jonathan Marten
Solomon K Musani
Raymond Noordam
Sridharan Raghavan
Lynda M Rose
Karen Schwander
Albert V Smith
Salman M Tajuddin
Dina Vojinovic
Najaf Amin
Donna K Arnett
Erwin P Bottinger
Ayse Demirkan
Jose C Florez
Mohsen Ghanbari
Tamara B Harris
Lenore J Launer
Jingmin Liu
Jun Liu
Dennis O Mook-Kanamori
Alison D Murray
Mike A Nalls
Patricia A Peyser
André G Uitterlinden
Trudy Voortman
Claude Bouchard
Daniel Chasman
Adolfo Correa
Renée de Mutsert
Michele K Evans
Vilmundur Gudnason
Caroline Hayward
Linda Kao
Sharon L R Kardia
Charles Kooperberg
Ruth J F Loos
Michael M Province
Tuomo Rankinen
Susan Redline
Paul M Ridker
Jerome I Rotter
David Siscovick
Blair H Smith
Cornelia van Duijn
Alan B Zonderman
D C Rao
James G Wilson
Josée Dupuis
James B Meigs
Ching-Ti Liu
Jason L Vassy
author_facet Peitao Wu
Denis Rybin
Lawrence F Bielak
Mary F Feitosa
Nora Franceschini
Yize Li
Yingchang Lu
Jonathan Marten
Solomon K Musani
Raymond Noordam
Sridharan Raghavan
Lynda M Rose
Karen Schwander
Albert V Smith
Salman M Tajuddin
Dina Vojinovic
Najaf Amin
Donna K Arnett
Erwin P Bottinger
Ayse Demirkan
Jose C Florez
Mohsen Ghanbari
Tamara B Harris
Lenore J Launer
Jingmin Liu
Jun Liu
Dennis O Mook-Kanamori
Alison D Murray
Mike A Nalls
Patricia A Peyser
André G Uitterlinden
Trudy Voortman
Claude Bouchard
Daniel Chasman
Adolfo Correa
Renée de Mutsert
Michele K Evans
Vilmundur Gudnason
Caroline Hayward
Linda Kao
Sharon L R Kardia
Charles Kooperberg
Ruth J F Loos
Michael M Province
Tuomo Rankinen
Susan Redline
Paul M Ridker
Jerome I Rotter
David Siscovick
Blair H Smith
Cornelia van Duijn
Alan B Zonderman
D C Rao
James G Wilson
Josée Dupuis
James B Meigs
Ching-Ti Liu
Jason L Vassy
author_sort Peitao Wu
title Smoking-by-genotype interaction in type 2 diabetes risk and fasting glucose.
title_short Smoking-by-genotype interaction in type 2 diabetes risk and fasting glucose.
title_full Smoking-by-genotype interaction in type 2 diabetes risk and fasting glucose.
title_fullStr Smoking-by-genotype interaction in type 2 diabetes risk and fasting glucose.
title_full_unstemmed Smoking-by-genotype interaction in type 2 diabetes risk and fasting glucose.
title_sort smoking-by-genotype interaction in type 2 diabetes risk and fasting glucose.
publisher Public Library of Science (PLoS)
publishDate 2020
url https://doaj.org/article/2b6f95449b6b4935b0d4624e65bfbe83
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