A current theme underlying research for genetic influences in complex diseases such as late onset Alzheimer's disease (LOAD) is the """"""""common disease, common variant"""""""" hypotheses. This theory posits that multiple common variants underlie the cause of LOAD. The goals of this project is to validate and quantify the clinical impact of these newly identified genetic risk factors, namely SNPs in PICALM, CLU, BIN1, MS4A gene clusters, CD33, CD2AP, ABCA7 and EPHA1 using the multiplex families recruited through the National Institute on Aging-Late Onset Alzheimer's Disease Family Study (NIA-LOAD). The availability of rich phenotypic and molecular genetic information in these families places us in a unique position to estimate the genotype relative risks for these variants and others identified in the recent GWA meta-analyses and the exome sequencing projects currently underway. The proposed longitudinal follow-up, the characterization of additional relatives with ascertainment of antecedent risk factors, and recruitment for autopsy will also greatly benefit the field by expanding the scientific value of the NIA-LOAD Family Study. This resource of families provides distinct advantages for characterizing the impact of genetic variants on disease risk. First, multiplex families are likely to be enriched for genetic variants associated with increased risk, providing increased statistical power to estimate the effects. Second, analysis of these families provides insight into the remaining unknown genetic influences (i.e., the """"""""residual heritability) as well as antecedent modifying factors that interact with identified genetic variant to influence disease risk. Third, family members at risk are followed at regular intervals, facilitating prospective investigation of the effects of the genetic variants on age-at-onset as wel as the modifying effects of antecedent risk and protective factors. Finally, family data can provide information regarding the influence of known variants on the rate of disease progression and the residual heritability of disease progression. We will address two overall hypotheses: 1) the risk of late onset Alzheimer's disease differs among families and is related to the inheritance of specific genetic variants. The impact of these variants on disease risk is greater in multiplex families than in sporadic cases. Phenocopies and incomplete penetrance in families are related to modifying risk factors. 2) The rate of disease progression is genetically influenced, and related to the same genetic variants that influence disease susceptibility.

Public Health Relevance

Although the identification of genetic associated with risk of late onset Alzheimer's disease is extremely exciting and vitally important, the clinical impact remains unknown. Families containing multiple affected individuals provides an opportunity to improve understanding of this clinical impact and estimating of the effects of carrying one or more specific genetic variants. Estimation of the risk (or penetrance of genetic variants) for LOAD associated with specific genotypes is critical for determining the clinical validity of geneti testing and screening for these SNPs. Clarifying the ways in which risk or protective factors modify the effects of the variants on disease risk could also point to the development of public health recommendations targeted to specific subgroups.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project (R01)
Project #
1R01AG041797-01
Application #
8269305
Study Section
Neurological, Aging and Musculoskeletal Epidemiology (NAME)
Program Officer
Anderson, Dallas
Project Start
2012-04-15
Project End
2017-03-31
Budget Start
2012-04-15
Budget End
2013-03-31
Support Year
1
Fiscal Year
2012
Total Cost
$935,583
Indirect Cost
$243,743
Name
Columbia University (N.Y.)
Department
Neurology
Type
Schools of Medicine
DUNS #
621889815
City
New York
State
NY
Country
United States
Zip Code
10032
Ridge, Perry G; Hoyt, Kaitlyn B; Boehme, Kevin et al. (2016) Assessment of the genetic variance of late-onset Alzheimer's disease. Neurobiol Aging 41:200.e13-20
Karch, Celeste M; Ezerskiy, Lubov A; Bertelsen, Sarah et al. (2016) Alzheimer's Disease Risk Polymorphisms Regulate Gene Expression in the ZCWPW1 and the CELF1 Loci. PLoS One 11:e0148717
Walton, Ronald L; Soto-Ortolaza, Alexandra I; Murray, Melissa E et al. (2016) TREM2 p.R47H substitution is not associated with dementia with Lewy bodies. Neurol Genet 2:e85
Tosto, Giuseppe; Monsell, Sarah E; Hawes, Stephen E et al. (2016) Progression of Extrapyramidal Signs in Alzheimer's Disease: Clinical and Neuropathological Correlates. J Alzheimers Dis 49:1085-93
Louis, Elan D; Clark, Lorraine; Ottman, Ruth (2016) Familial Aggregation and Co-Aggregation of Essential Tremor and Parkinson's Disease. Neuroepidemiology 46:31-6
Mez, Jesse; Mukherjee, Shubhabrata; Thornton, Timothy et al. (2016) The executive prominent/memory prominent spectrum in Alzheimer's disease is highly heritable. Neurobiol Aging 41:115-21
Graff-Radford, Jonathan; Lesnick, Timothy G; Boeve, Bradley F et al. (2016) Predicting Survival in Dementia With Lewy Bodies With Hippocampal Volumetry. Mov Disord 31:989-94
Tosto, Giuseppe; Bird, Thomas D; Bennett, David A et al. (2016) The Role of Cardiovascular Risk Factors and Stroke in Familial Alzheimer Disease. JAMA Neurol 73:1231-1237
Mukherjee, Shubhabrata; Walter, Stefan; Kauwe, John S K et al. (2015) Genetically predicted body mass index and Alzheimer's disease-related phenotypes in three large samples: Mendelian randomization analyses. Alzheimers Dement 11:1439-51
Barral, Sandra; Vardarajan, Badri N; Reyes-Dumeyer, Dolly et al. (2015) Genetic variants associated with susceptibility to psychosis in late-onset Alzheimer's disease families. Neurobiol Aging 36:3116.e9-3116.e16

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