This proposal describes future work of the Alzheimer's Disease Genetics Consortium (ADGC). The goal is to deconstruct the complete genetic architecture of Alzheimer's disease (AD), and to determine how all inherited factors contribute to the AD phenotype. To this end we will identify, annotate, replicate, and validate all DNA variants that increase risk or protect against AD, determine what genes are connected to these variants, and evaluate the contribution of each to total AD risk. The rationale for the following genetics/genomics project is to: 1) Predict who will develop AD. 2) Fully reveal all AD genetics in all ethnic groups. 3) Understand the pathogenesis of AD. 4) Identify novel therapeutic targets for AD. Therefore, we will identify new genes/therapeutic targets for AD using methods that make use of data from not only genotyping arrays but also massively parallel DNA sequence approaches. Because much of what we know about AD genetics comes from Caucasians AD studies, we will focus future analysis on not only Caucasians but also on African Americans, Latinos, and Asians. To resolve AD genetics, we will:
in AIM 1, use functional genomics to identify AD risk and protective variants in cis- acting regulatory elements, and identifying the genes affected by these CREs;
in AIM 2, we will use in silico systems biology approaches to integrate information from all AD genes to identify interaction networks and pathways relevant to AD;
in AIM 3, we will identify additional AD rare-variant genes using gene-based (including CREs) analyses. All ethnic groups will be analyzed by these methods;
in AIM 4, we will perform whole exome sequencing on African American subjects to generalize findings made on Caucasians, to refine gene localization, to identify novel variants, and to identify novel genes found only in other ethnic groups. This will be followed up by targeted sequencing in African Americans and Latinos;
in AIM 5 we will assemble and harmonize phenotypes available in multiple cohorts to identify subtypes of AD and genes associated with variants associated with those subtypes.

Public Health Relevance

Alzheimer's disease (AD) affects 3-5 million people costing the US over $100 billion dollars/year. By 2050, there will be 16 million people with AD costing the US $1 trillion dollars/year. There is no way to prevent AD, and current therapies are marginally effective and do not halt disease progression. More fundamental knowledge on disease mechanism is needed and will come in part from the genetic studies proposed here.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01AG032984-08
Application #
9260732
Study Section
Special Emphasis Panel (ZAG1)
Program Officer
Anderson, Dallas
Project Start
2009-04-01
Project End
2020-03-31
Budget Start
2017-04-15
Budget End
2018-03-31
Support Year
8
Fiscal Year
2017
Total Cost
Indirect Cost
Name
University of Pennsylvania
Department
Pathology
Type
Schools of Medicine
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
Ikezu, Tsuneya; Chen, Cidi; DeLeo, Annina M et al. (2018) Tau Phosphorylation is Impacted by Rare AKAP9 Mutations Associated with Alzheimer Disease in African Americans. J Neuroimmune Pharmacol 13:254-264
Roostaei, Tina; Felsky, Daniel; Nazeri, Arash et al. (2018) Genetic influence of plasma homocysteine on Alzheimer's disease. Neurobiol Aging 62:243.e7-243.e14
Amlie-Wolf, Alexandre; Tang, Mitchell; Mlynarski, Elisabeth E et al. (2018) INFERNO: inferring the molecular mechanisms of noncoding genetic variants. Nucleic Acids Res 46:8740-8753
Lobach, Iryna; Sampson, Joshua; Alekseyenko, Alexander et al. (2018) Case-control studies of gene-environment interactions. When a case might not be the case. PLoS One 13:e0201140
Zhou, Zilu; Wang, Weixin; Wang, Li-San et al. (2018) Integrative DNA copy number detection and genotyping from sequencing and array-based platforms. Bioinformatics 34:2349-2355
Rajabli, Farid; Feliciano, Briseida E; Celis, Katrina et al. (2018) Ancestral origin of ApoE ?4 Alzheimer disease risk in Puerto Rican and African American populations. PLoS Genet 14:e1007791
Broce, Iris J; Tan, Chin Hong; Fan, Chun Chieh et al. (2018) Dissecting the genetic relationship between cardiovascular risk factors and Alzheimer's disease. Acta Neuropathol :
Gusareva, Elena S; Twizere, Jean-Claude; Sleegers, Kristel et al. (2018) Male-specific epistasis between WWC1 and TLN2 genes is associated with Alzheimer's disease. Neurobiol Aging 72:188.e3-188.e12
Girdhar, Kiran; Hoffman, Gabriel E; Jiang, Yan et al. (2018) Cell-specific histone modification maps in the human frontal lobe link schizophrenia risk to the neuronal epigenome. Nat Neurosci 21:1126-1136
Kunutsor, Setor K; Laukkanen, Jari A; Burgess, Stephen (2018) Genetically elevated gamma-glutamyltransferase and Alzheimer's disease. Exp Gerontol 106:61-66

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