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Genetic Interactions Explain Variance in Cingulate Amyloid Burden: An AV-45 PET Genome-Wide Association and Interaction Study in the ADNI Cohort

Alzheimer's disease (AD) is the most common neurodegenerative disorder. Using discrete disease status as the phenotype and computing statistics at the single marker level may not be able to address the underlying biological interactions that contribute to disease mechanism and may contribute to...

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Autores principales: Li, Jin, Zhang, Qiushi, Chen, Feng, Yan, Jingwen, Kim, Sungeun, Wang, Lei, Feng, Weixing, Saykin, Andrew J., Liang, Hong, Shen, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4573220/
https://www.ncbi.nlm.nih.gov/pubmed/26421299
http://dx.doi.org/10.1155/2015/647389
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author Li, Jin
Zhang, Qiushi
Chen, Feng
Yan, Jingwen
Kim, Sungeun
Wang, Lei
Feng, Weixing
Saykin, Andrew J.
Liang, Hong
Shen, Li
author_facet Li, Jin
Zhang, Qiushi
Chen, Feng
Yan, Jingwen
Kim, Sungeun
Wang, Lei
Feng, Weixing
Saykin, Andrew J.
Liang, Hong
Shen, Li
author_sort Li, Jin
collection PubMed
description Alzheimer's disease (AD) is the most common neurodegenerative disorder. Using discrete disease status as the phenotype and computing statistics at the single marker level may not be able to address the underlying biological interactions that contribute to disease mechanism and may contribute to the issue of “missing heritability.” We performed a genome-wide association study (GWAS) and a genome-wide interaction study (GWIS) of an amyloid imaging phenotype, using the data from Alzheimer's Disease Neuroimaging Initiative. We investigated the genetic main effects and interaction effects on cingulate amyloid-beta (Aβ) load in an effort to better understand the genetic etiology of Aβ deposition that is a widely studied AD biomarker. PLINK was used in the single marker GWAS, and INTERSNP was used to perform the two-marker GWIS, focusing only on SNPs with p ≤ 0.01 for the GWAS analysis. Age, sex, and diagnosis were used as covariates in both analyses. Corrected p values using the Bonferroni method were reported. The GWAS analysis revealed significant hits within or proximal to APOE, APOC1, and TOMM40 genes, which were previously implicated in AD. The GWIS analysis yielded 8 novel SNP-SNP interaction findings that warrant replication and further investigation.
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spelling pubmed-45732202015-09-29 Genetic Interactions Explain Variance in Cingulate Amyloid Burden: An AV-45 PET Genome-Wide Association and Interaction Study in the ADNI Cohort Li, Jin Zhang, Qiushi Chen, Feng Yan, Jingwen Kim, Sungeun Wang, Lei Feng, Weixing Saykin, Andrew J. Liang, Hong Shen, Li Biomed Res Int Research Article Alzheimer's disease (AD) is the most common neurodegenerative disorder. Using discrete disease status as the phenotype and computing statistics at the single marker level may not be able to address the underlying biological interactions that contribute to disease mechanism and may contribute to the issue of “missing heritability.” We performed a genome-wide association study (GWAS) and a genome-wide interaction study (GWIS) of an amyloid imaging phenotype, using the data from Alzheimer's Disease Neuroimaging Initiative. We investigated the genetic main effects and interaction effects on cingulate amyloid-beta (Aβ) load in an effort to better understand the genetic etiology of Aβ deposition that is a widely studied AD biomarker. PLINK was used in the single marker GWAS, and INTERSNP was used to perform the two-marker GWIS, focusing only on SNPs with p ≤ 0.01 for the GWAS analysis. Age, sex, and diagnosis were used as covariates in both analyses. Corrected p values using the Bonferroni method were reported. The GWAS analysis revealed significant hits within or proximal to APOE, APOC1, and TOMM40 genes, which were previously implicated in AD. The GWIS analysis yielded 8 novel SNP-SNP interaction findings that warrant replication and further investigation. Hindawi Publishing Corporation 2015 2015-09-03 /pmc/articles/PMC4573220/ /pubmed/26421299 http://dx.doi.org/10.1155/2015/647389 Text en Copyright © 2015 Jin Li et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Li, Jin
Zhang, Qiushi
Chen, Feng
Yan, Jingwen
Kim, Sungeun
Wang, Lei
Feng, Weixing
Saykin, Andrew J.
Liang, Hong
Shen, Li
Genetic Interactions Explain Variance in Cingulate Amyloid Burden: An AV-45 PET Genome-Wide Association and Interaction Study in the ADNI Cohort
title Genetic Interactions Explain Variance in Cingulate Amyloid Burden: An AV-45 PET Genome-Wide Association and Interaction Study in the ADNI Cohort
title_full Genetic Interactions Explain Variance in Cingulate Amyloid Burden: An AV-45 PET Genome-Wide Association and Interaction Study in the ADNI Cohort
title_fullStr Genetic Interactions Explain Variance in Cingulate Amyloid Burden: An AV-45 PET Genome-Wide Association and Interaction Study in the ADNI Cohort
title_full_unstemmed Genetic Interactions Explain Variance in Cingulate Amyloid Burden: An AV-45 PET Genome-Wide Association and Interaction Study in the ADNI Cohort
title_short Genetic Interactions Explain Variance in Cingulate Amyloid Burden: An AV-45 PET Genome-Wide Association and Interaction Study in the ADNI Cohort
title_sort genetic interactions explain variance in cingulate amyloid burden: an av-45 pet genome-wide association and interaction study in the adni cohort
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4573220/
https://www.ncbi.nlm.nih.gov/pubmed/26421299
http://dx.doi.org/10.1155/2015/647389
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