Genetic assessment of age-associated Alzheimer disease risk: Development and validation of a polygenic hazard score.
|Title||Genetic assessment of age-associated Alzheimer disease risk: Development and validation of a polygenic hazard score.|
|Publication Type||Journal Article|
|Year of Publication||2017|
|Authors||Desikan, RS, Fan, CChieh, Wang, Y, Schork, AJ, Cabral, HJ, L Cupples, A, Thompson, WK, Besser, L, Kukull, WA, Holland, D, Chen, C-H, Brewer, JB, Karow, DS, Kauppi, K, Witoelar, A, Karch, CM, Bonham, LW, Yokoyama, JS, Rosen, HJ, Miller, BL, Dillon, WP, Wilson, DM, Hess, CP, Pericak-Vance, M, Haines, JL, Farrer, LA, Mayeux, R, Hardy, J, Goate, AM, Hyman, BT, Schellenberg, GD, McEvoy, LK, Andreassen, OA, Dale, AM|
|Date Published||2017 03|
|Keywords||Aged, Aged, 80 and over, Alzheimer Disease, Apolipoproteins E, Female, Genotype, Geriatric Assessment, Humans, Longitudinal Studies, Male, Middle Aged, Multifactorial Inheritance, Polymorphism, Single Nucleotide, United States|
BACKGROUND: Identifying individuals at risk for developing Alzheimer disease (AD) is of utmost importance. Although genetic studies have identified AD-associated SNPs in APOE and other genes, genetic information has not been integrated into an epidemiological framework for risk prediction.
METHODS AND FINDINGS: Using genotype data from 17,008 AD cases and 37,154 controls from the International Genomics of Alzheimer's Project (IGAP Stage 1), we identified AD-associated SNPs (at p < 10-5). We then integrated these AD-associated SNPs into a Cox proportional hazard model using genotype data from a subset of 6,409 AD patients and 9,386 older controls from Phase 1 of the Alzheimer's Disease Genetics Consortium (ADGC), providing a polygenic hazard score (PHS) for each participant. By combining population-based incidence rates and the genotype-derived PHS for each individual, we derived estimates of instantaneous risk for developing AD, based on genotype and age, and tested replication in multiple independent cohorts (ADGC Phase 2, National Institute on Aging Alzheimer's Disease Center [NIA ADC], and Alzheimer's Disease Neuroimaging Initiative [ADNI], total n = 20,680). Within the ADGC Phase 1 cohort, individuals in the highest PHS quartile developed AD at a considerably lower age and had the highest yearly AD incidence rate. Among APOE ε3/3 individuals, the PHS modified expected age of AD onset by more than 10 y between the lowest and highest deciles (hazard ratio 3.34, 95% CI 2.62-4.24, p = 1.0 × 10-22). In independent cohorts, the PHS strongly predicted empirical age of AD onset (ADGC Phase 2, r = 0.90, p = 1.1 × 10-26) and longitudinal progression from normal aging to AD (NIA ADC, Cochran-Armitage trend test, p = 1.5 × 10-10), and was associated with neuropathology (NIA ADC, Braak stage of neurofibrillary tangles, p = 3.9 × 10-6, and Consortium to Establish a Registry for Alzheimer's Disease score for neuritic plaques, p = 6.8 × 10-6) and in vivo markers of AD neurodegeneration (ADNI, volume loss within the entorhinal cortex, p = 6.3 × 10-6, and hippocampus, p = 7.9 × 10-5). Additional prospective validation of these results in non-US, non-white, and prospective community-based cohorts is necessary before clinical use.
CONCLUSIONS: We have developed a PHS for quantifying individual differences in age-specific genetic risk for AD. Within the cohorts studied here, polygenic architecture plays an important role in modifying AD risk beyond APOE. With thorough validation, quantification of inherited genetic variation may prove useful for stratifying AD risk and as an enrichment strategy in therapeutic trials.
|Alternate Journal||PLoS Med.|
|PubMed Central ID||PMC5360219|
|Grant List||R01 MH100351 / MH / NIMH NIH HHS / United States |
R01 AG054076 / AG / NIA NIH HHS / United States
K01 AG049152 / AG / NIA NIH HHS / United States
K24 AG045333 / AG / NIA NIH HHS / United States
P50 AG005131 / AG / NIA NIH HHS / United States
R01 GM104400 / GM / NIGMS NIH HHS / United States
U01 AG032984 / AG / NIA NIH HHS / United States
U01 AG016976 / AG / NIA NIH HHS / United States
P30 AG013846 / AG / NIA NIH HHS / United States
R01 HL105756 / HL / NHLBI NIH HHS / United States
K01 AG046374 / AG / NIA NIH HHS / United States
R01 AG008122 / AG / NIA NIH HHS / United States
P50 AG005134 / AG / NIA NIH HHS / United States
R01 AG033193 / AG / NIA NIH HHS / United States
P50 AG005138 / AG / NIA NIH HHS / United States