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Interactions between folate intake and genetic predictors of gene expression levels associated with colorectal cancer risk

Observational studies have shown higher folate consumption to be associated with lower risk of colorectal cancer (CRC). Understanding whether and how genetic risk factors interact with folate could further elucidate the underlying mechanism. Aggregating functionally relevant genetic variants in set-...

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Autores principales: Haas, Cameron B., Su, Yu-Ru, Petersen, Paneen, Wang, Xiaoliang, Bien, Stephanie A., Lin, Yi, Albanes, Demetrius, Weinstein, Stephanie J., Jenkins, Mark A., Figueiredo, Jane C., Newcomb, Polly A., Casey, Graham, Le Marchand, Loic, Campbell, Peter T., Moreno, Victor, Potter, John D., Sakoda, Lori C., Slattery, Martha L., Chan, Andrew T., Li, Li, Giles, Graham G., Milne, Roger L., Gruber, Stephen B., Rennert, Gad, Woods, Michael O., Gallinger, Steven J., Berndt, Sonja, Hayes, Richard B., Huang, Wen-Yi, Wolk, Alicja, White, Emily, Nan, Hongmei, Nassir, Rami, Lindor, Noralane M., Lewinger, Juan P., Kim, Andre E., Conti, David, Gauderman, W. James, Buchanan, Daniel D., Peters, Ulrike, Hsu, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9640550/
https://www.ncbi.nlm.nih.gov/pubmed/36344807
http://dx.doi.org/10.1038/s41598-022-23451-y
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author Haas, Cameron B.
Su, Yu-Ru
Petersen, Paneen
Wang, Xiaoliang
Bien, Stephanie A.
Lin, Yi
Albanes, Demetrius
Weinstein, Stephanie J.
Jenkins, Mark A.
Figueiredo, Jane C.
Newcomb, Polly A.
Casey, Graham
Le Marchand, Loic
Campbell, Peter T.
Moreno, Victor
Potter, John D.
Sakoda, Lori C.
Slattery, Martha L.
Chan, Andrew T.
Li, Li
Giles, Graham G.
Milne, Roger L.
Gruber, Stephen B.
Rennert, Gad
Woods, Michael O.
Gallinger, Steven J.
Berndt, Sonja
Hayes, Richard B.
Huang, Wen-Yi
Wolk, Alicja
White, Emily
Nan, Hongmei
Nassir, Rami
Lindor, Noralane M.
Lewinger, Juan P.
Kim, Andre E.
Conti, David
Gauderman, W. James
Buchanan, Daniel D.
Peters, Ulrike
Hsu, Li
author_facet Haas, Cameron B.
Su, Yu-Ru
Petersen, Paneen
Wang, Xiaoliang
Bien, Stephanie A.
Lin, Yi
Albanes, Demetrius
Weinstein, Stephanie J.
Jenkins, Mark A.
Figueiredo, Jane C.
Newcomb, Polly A.
Casey, Graham
Le Marchand, Loic
Campbell, Peter T.
Moreno, Victor
Potter, John D.
Sakoda, Lori C.
Slattery, Martha L.
Chan, Andrew T.
Li, Li
Giles, Graham G.
Milne, Roger L.
Gruber, Stephen B.
Rennert, Gad
Woods, Michael O.
Gallinger, Steven J.
Berndt, Sonja
Hayes, Richard B.
Huang, Wen-Yi
Wolk, Alicja
White, Emily
Nan, Hongmei
Nassir, Rami
Lindor, Noralane M.
Lewinger, Juan P.
Kim, Andre E.
Conti, David
Gauderman, W. James
Buchanan, Daniel D.
Peters, Ulrike
Hsu, Li
author_sort Haas, Cameron B.
collection PubMed
description Observational studies have shown higher folate consumption to be associated with lower risk of colorectal cancer (CRC). Understanding whether and how genetic risk factors interact with folate could further elucidate the underlying mechanism. Aggregating functionally relevant genetic variants in set-based variant testing has higher power to detect gene–environment (G × E) interactions and may provide information on the underlying biological pathway. We investigated interactions between folate consumption and predicted gene expression on colorectal cancer risk across the genome. We used variant weights from the PrediXcan models of colon tissue-specific gene expression as a priori variant information for a set-based G × E approach. We harmonized total folate intake (mcg/day) based on dietary intake and supplemental use across cohort and case–control studies and calculated sex and study specific quantiles. Analyses were performed using a mixed effects score tests for interactions between folate and genetically predicted expression of 4839 genes with available genetically predicted expression. We pooled results across 23 studies for a total of 13,498 cases with colorectal tumors and 13,918 controls of European ancestry. We used a false discovery rate of 0.2 to identify genes with suggestive evidence of an interaction. We found suggestive evidence of interaction with folate intake on CRC risk for genes including glutathione S-Transferase Alpha 1 (GSTA1; p = 4.3E−4), Tonsuko Like, DNA Repair Protein (TONSL; p = 4.3E−4), and Aspartylglucosaminidase (AGA: p = 4.5E−4). We identified three genes involved in preventing or repairing DNA damage that may interact with folate consumption to alter CRC risk. Glutathione is an antioxidant, preventing cellular damage and is a downstream metabolite of homocysteine and metabolized by GSTA1. TONSL is part of a complex that functions in the recovery of double strand breaks and AGA plays a role in lysosomal breakdown of glycoprotein.
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spelling pubmed-96405502022-11-15 Interactions between folate intake and genetic predictors of gene expression levels associated with colorectal cancer risk Haas, Cameron B. Su, Yu-Ru Petersen, Paneen Wang, Xiaoliang Bien, Stephanie A. Lin, Yi Albanes, Demetrius Weinstein, Stephanie J. Jenkins, Mark A. Figueiredo, Jane C. Newcomb, Polly A. Casey, Graham Le Marchand, Loic Campbell, Peter T. Moreno, Victor Potter, John D. Sakoda, Lori C. Slattery, Martha L. Chan, Andrew T. Li, Li Giles, Graham G. Milne, Roger L. Gruber, Stephen B. Rennert, Gad Woods, Michael O. Gallinger, Steven J. Berndt, Sonja Hayes, Richard B. Huang, Wen-Yi Wolk, Alicja White, Emily Nan, Hongmei Nassir, Rami Lindor, Noralane M. Lewinger, Juan P. Kim, Andre E. Conti, David Gauderman, W. James Buchanan, Daniel D. Peters, Ulrike Hsu, Li Sci Rep Article Observational studies have shown higher folate consumption to be associated with lower risk of colorectal cancer (CRC). Understanding whether and how genetic risk factors interact with folate could further elucidate the underlying mechanism. Aggregating functionally relevant genetic variants in set-based variant testing has higher power to detect gene–environment (G × E) interactions and may provide information on the underlying biological pathway. We investigated interactions between folate consumption and predicted gene expression on colorectal cancer risk across the genome. We used variant weights from the PrediXcan models of colon tissue-specific gene expression as a priori variant information for a set-based G × E approach. We harmonized total folate intake (mcg/day) based on dietary intake and supplemental use across cohort and case–control studies and calculated sex and study specific quantiles. Analyses were performed using a mixed effects score tests for interactions between folate and genetically predicted expression of 4839 genes with available genetically predicted expression. We pooled results across 23 studies for a total of 13,498 cases with colorectal tumors and 13,918 controls of European ancestry. We used a false discovery rate of 0.2 to identify genes with suggestive evidence of an interaction. We found suggestive evidence of interaction with folate intake on CRC risk for genes including glutathione S-Transferase Alpha 1 (GSTA1; p = 4.3E−4), Tonsuko Like, DNA Repair Protein (TONSL; p = 4.3E−4), and Aspartylglucosaminidase (AGA: p = 4.5E−4). We identified three genes involved in preventing or repairing DNA damage that may interact with folate consumption to alter CRC risk. Glutathione is an antioxidant, preventing cellular damage and is a downstream metabolite of homocysteine and metabolized by GSTA1. TONSL is part of a complex that functions in the recovery of double strand breaks and AGA plays a role in lysosomal breakdown of glycoprotein. Nature Publishing Group UK 2022-11-07 /pmc/articles/PMC9640550/ /pubmed/36344807 http://dx.doi.org/10.1038/s41598-022-23451-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Haas, Cameron B.
Su, Yu-Ru
Petersen, Paneen
Wang, Xiaoliang
Bien, Stephanie A.
Lin, Yi
Albanes, Demetrius
Weinstein, Stephanie J.
Jenkins, Mark A.
Figueiredo, Jane C.
Newcomb, Polly A.
Casey, Graham
Le Marchand, Loic
Campbell, Peter T.
Moreno, Victor
Potter, John D.
Sakoda, Lori C.
Slattery, Martha L.
Chan, Andrew T.
Li, Li
Giles, Graham G.
Milne, Roger L.
Gruber, Stephen B.
Rennert, Gad
Woods, Michael O.
Gallinger, Steven J.
Berndt, Sonja
Hayes, Richard B.
Huang, Wen-Yi
Wolk, Alicja
White, Emily
Nan, Hongmei
Nassir, Rami
Lindor, Noralane M.
Lewinger, Juan P.
Kim, Andre E.
Conti, David
Gauderman, W. James
Buchanan, Daniel D.
Peters, Ulrike
Hsu, Li
Interactions between folate intake and genetic predictors of gene expression levels associated with colorectal cancer risk
title Interactions between folate intake and genetic predictors of gene expression levels associated with colorectal cancer risk
title_full Interactions between folate intake and genetic predictors of gene expression levels associated with colorectal cancer risk
title_fullStr Interactions between folate intake and genetic predictors of gene expression levels associated with colorectal cancer risk
title_full_unstemmed Interactions between folate intake and genetic predictors of gene expression levels associated with colorectal cancer risk
title_short Interactions between folate intake and genetic predictors of gene expression levels associated with colorectal cancer risk
title_sort interactions between folate intake and genetic predictors of gene expression levels associated with colorectal cancer risk
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9640550/
https://www.ncbi.nlm.nih.gov/pubmed/36344807
http://dx.doi.org/10.1038/s41598-022-23451-y
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