Calibration of a new approach for estimating general cognitive performance for GWAS of cognitive decline in Alzheimer's disease

Alden Gross; Richard Sherva; Shubhabrata Mukherjee; Stephen Newhouse; Leo Waterston; Kenton Zavitz; David Bennett; Richard Jones; Paul Crane; Robert Green

doi:10.1016/j.jalz.2013.04.376

Calibration of a new approach for estimating general cognitive performance for GWAS of cognitive decline in Alzheimer's disease

Alden Gross, Richard Sherva, Shubhabrata Mukherjee, Stephen Newhouse, Leo Waterston, Kenton Zavitz, David Bennett, Richard Jones, Paul Crane, Robert Green

Research output: Contribution to journal › Article › peer-review

Abstract

There is tremendous variability in the rate of cognitive decline over the course of Alzheimer's disease (AD) that cannot be explained by demographic, health, or clinical features, and thus is likely genetic in origin. Determining genetic underpinnings of cognitive decline in AD might help reveal previously unidentified biological pathways responsible for clinical progression. Unfortunately, identification of genetic factors is hampered by the absence of a cohort of longitudinally followed persons with AD of sufficient size from any single study.

Original language	English
Pages (from-to)	P697-P698
Journal	Alzheimer's Dementia: The Journal of the Alzheimer's Association
Volume	9
Issue number	4
DOIs	https://doi.org/10.1016/j.jalz.2013.04.376
Publication status	Published - Jul 2013

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Gross, A., Sherva, R., Mukherjee, S., Newhouse, S., Waterston, L., Zavitz, K., Bennett, D., Jones, R., Crane, P., & Green, R. (2013). Calibration of a new approach for estimating general cognitive performance for GWAS of cognitive decline in Alzheimer's disease. Alzheimer's Dementia: The Journal of the Alzheimer's Association, 9(4), P697-P698. https://doi.org/10.1016/j.jalz.2013.04.376

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title = "Calibration of a new approach for estimating general cognitive performance for GWAS of cognitive decline in Alzheimer's disease",

abstract = "There is tremendous variability in the rate of cognitive decline over the course of Alzheimer's disease (AD) that cannot be explained by demographic, health, or clinical features, and thus is likely genetic in origin. Determining genetic underpinnings of cognitive decline in AD might help reveal previously unidentified biological pathways responsible for clinical progression. Unfortunately, identification of genetic factors is hampered by the absence of a cohort of longitudinally followed persons with AD of sufficient size from any single study.",

author = "Alden Gross and Richard Sherva and Shubhabrata Mukherjee and Stephen Newhouse and Leo Waterston and Kenton Zavitz and David Bennett and Richard Jones and Paul Crane and Robert Green",

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Gross, A, Sherva, R, Mukherjee, S, Newhouse, S, Waterston, L, Zavitz, K, Bennett, D, Jones, R, Crane, P & Green, R 2013, 'Calibration of a new approach for estimating general cognitive performance for GWAS of cognitive decline in Alzheimer's disease', Alzheimer's Dementia: The Journal of the Alzheimer's Association, vol. 9, no. 4, pp. P697-P698. https://doi.org/10.1016/j.jalz.2013.04.376

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T1 - Calibration of a new approach for estimating general cognitive performance for GWAS of cognitive decline in Alzheimer's disease

AU - Gross, Alden

AU - Sherva, Richard

AU - Mukherjee, Shubhabrata

AU - Newhouse, Stephen

AU - Waterston, Leo

AU - Zavitz, Kenton

AU - Bennett, David

AU - Jones, Richard

AU - Crane, Paul

AU - Green, Robert

PY - 2013/7

Y1 - 2013/7

N2 - There is tremendous variability in the rate of cognitive decline over the course of Alzheimer's disease (AD) that cannot be explained by demographic, health, or clinical features, and thus is likely genetic in origin. Determining genetic underpinnings of cognitive decline in AD might help reveal previously unidentified biological pathways responsible for clinical progression. Unfortunately, identification of genetic factors is hampered by the absence of a cohort of longitudinally followed persons with AD of sufficient size from any single study.

AB - There is tremendous variability in the rate of cognitive decline over the course of Alzheimer's disease (AD) that cannot be explained by demographic, health, or clinical features, and thus is likely genetic in origin. Determining genetic underpinnings of cognitive decline in AD might help reveal previously unidentified biological pathways responsible for clinical progression. Unfortunately, identification of genetic factors is hampered by the absence of a cohort of longitudinally followed persons with AD of sufficient size from any single study.

U2 - 10.1016/j.jalz.2013.04.376

DO - 10.1016/j.jalz.2013.04.376

M3 - Article

VL - 9

SP - P697-P698

JO - Alzheimer's Dementia: The Journal of the Alzheimer's Association

JF - Alzheimer's Dementia: The Journal of the Alzheimer's Association

IS - 4

ER -

Calibration of a new approach for estimating general cognitive performance for GWAS of cognitive decline in Alzheimer's disease

Abstract

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