TY - JOUR
T1 - Shared genetic etiology underlying Alzheimer's disease and type 2 diabetes
AU - Hao, Ke
AU - Di Narzo, Antonio Fabio
AU - Ho, Lap
AU - Luo, Wei
AU - Li, Shuyu
AU - Chen, Rong
AU - Li, Tongbin
AU - Dubner, Lauren
AU - Pasinetti, Giulio Maria
N1 - Funding Information:
This study was supported by discretionary funding from the Icahn School of Medicine at Mount Sinai to Dr. Giulio Pasinetti and in part by the Altschul Foundation . In addition, Dr. Pasinetti holds a Career Scientist Award in the Research and Development unit and is the Director of the Basic and Biomedical Research and Training Program, GRECC, James J. Peters Veterans Affairs Medical Center. We acknowledge that the contents of this article do not represent the views of the U.S. Department of Veterans Affairs or the United States Government. Hao K is partially supported by National Natural Science Foundation of China (Grant No. 21477087 ). Hao K is also partially supported by CADgenomics grant of Leduqc Foundation (Grant #0266-2493 ) as co-Investigator. Luo W is partially supported by Fujian Province Overseas Studying Fellowship .
Publisher Copyright:
© 2015 Elsevier Ltd. All rights reserved.
PY - 2015/6/12
Y1 - 2015/6/12
N2 - Epidemiological evidence supports the observation that subjects with type 2 diabetes (T2D) are at higher risk to develop Alzheimer's disease (AD). However, whether and how these two conditions are causally linked is unknown. Possible mechanisms include shared genetic risk factors, which were investigated in this study based on recent genome wide association study (GWAS) findings. In order to achieve our goal, we retrieved single nucleotide polymorphisms (SNPs) associated with T2D and AD from large-scale GWAS meta-analysis consortia and tested for overlap among the T2D- and AD-associated SNPs at various p-value thresholds. We then explored the function of the shared T2D/AD GWAS SNPs by leveraging expressional quantitative trait loci, pathways, gene ontology data, and co-expression networks. We found 927 SNPs associated with both AD and T2D with p-value≤0.01, an overlap significantly larger than random chance (overlapping p-value≤of≤6.93E-28). Among these, 395 of the shared GWAS SNPs have the same risk allele for AD and T2D, suggesting common pathogenic mechanisms underlying the development of both AD and T2D. Genes influenced by shared T2D/AD SNPs with the same risk allele were first identified using a SNP annotation variation (ANNOVAR) software, followed by using Association Protein-Protein Link Evaluator (DAPPLE) software to identify additional proteins that are known to physically interact with the ANNOVAR gene annotations. We found that gene annotations from ANNOVAR and DAPPLE significantly enriched specific KEGG pathways pertaining to immune responses, cell signaling and neuronal plasticity, cellular processes in which abnormalities are known to contribute to both T2D and AD pathogenesis. Thus, our observation suggests that among T2D subjects with common genetic predispositions (e.g., SNPs with consistent risk alleles for T2D and AD), dysregulation of these pathogenic pathways could contribute to the elevated risks for AD in subjects. Interestingly, we found that 532 of the shared T2D/AD GWAS SNPs had divergent risk alleles in the two diseases. For individual shared T2D/AD SNPs with divergent alleles, one of the allelic forms may contribute to one of the diseases (e.g., T2D), but not necessarily to the.
AB - Epidemiological evidence supports the observation that subjects with type 2 diabetes (T2D) are at higher risk to develop Alzheimer's disease (AD). However, whether and how these two conditions are causally linked is unknown. Possible mechanisms include shared genetic risk factors, which were investigated in this study based on recent genome wide association study (GWAS) findings. In order to achieve our goal, we retrieved single nucleotide polymorphisms (SNPs) associated with T2D and AD from large-scale GWAS meta-analysis consortia and tested for overlap among the T2D- and AD-associated SNPs at various p-value thresholds. We then explored the function of the shared T2D/AD GWAS SNPs by leveraging expressional quantitative trait loci, pathways, gene ontology data, and co-expression networks. We found 927 SNPs associated with both AD and T2D with p-value≤0.01, an overlap significantly larger than random chance (overlapping p-value≤of≤6.93E-28). Among these, 395 of the shared GWAS SNPs have the same risk allele for AD and T2D, suggesting common pathogenic mechanisms underlying the development of both AD and T2D. Genes influenced by shared T2D/AD SNPs with the same risk allele were first identified using a SNP annotation variation (ANNOVAR) software, followed by using Association Protein-Protein Link Evaluator (DAPPLE) software to identify additional proteins that are known to physically interact with the ANNOVAR gene annotations. We found that gene annotations from ANNOVAR and DAPPLE significantly enriched specific KEGG pathways pertaining to immune responses, cell signaling and neuronal plasticity, cellular processes in which abnormalities are known to contribute to both T2D and AD pathogenesis. Thus, our observation suggests that among T2D subjects with common genetic predispositions (e.g., SNPs with consistent risk alleles for T2D and AD), dysregulation of these pathogenic pathways could contribute to the elevated risks for AD in subjects. Interestingly, we found that 532 of the shared T2D/AD GWAS SNPs had divergent risk alleles in the two diseases. For individual shared T2D/AD SNPs with divergent alleles, one of the allelic forms may contribute to one of the diseases (e.g., T2D), but not necessarily to the.
KW - Alzheimer's disease
KW - GWAS
KW - Pathway
KW - Shared genomic component
KW - Type 2 diabetes
KW - eQTLs
UR - http://www.scopus.com/inward/record.url?scp=84943451142&partnerID=8YFLogxK
U2 - 10.1016/j.mam.2015.06.006
DO - 10.1016/j.mam.2015.06.006
M3 - Review article
C2 - 26116273
AN - SCOPUS:84943451142
SN - 0098-2997
VL - 43-44
SP - 66
EP - 76
JO - Molecular Aspects of Medicine
JF - Molecular Aspects of Medicine
ER -