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Genome-wide screen to identify genetic loci associated with cognitive decline in late-life depression

Published online by Cambridge University Press:  09 July 2020

D. C. Steffens ,
M. E. Garrett ,
K. L. Soldano ,
D. R. McQuoid ,
A. E. Ashley-Koch  and
G. G. Potter
D. C. Steffens*
Affiliation:
Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
M. E. Garrett
Affiliation:
Department of Medicine, Duke University Medicine Center, Durham, NC, USA
K. L. Soldano
Affiliation:
Department of Medicine, Duke University Medicine Center, Durham, NC, USA
D. R. McQuoid
Affiliation:
Department of Psychiatry, Duke University Medicine Center, Durham, NC, USA
A. E. Ashley-Koch
Affiliation:
Department of Medicine, Duke University Medicine Center, Durham, NC, USA
G. G. Potter
Affiliation:
Department of Psychiatry, Duke University Medicine Center, Durham, NC, USA
*
Correspondence should be addressed to: David C. Steffens, MD, MHS, Samuel “Sy” Birnbaum/Ida, Louis and Richard Blum Chair in Psychiatry, Professor and Chair, Department of Psychiatry, University of Connecticut School of Medicine, 263 Farmington Ave, Farmington, CT06030-1410, USA. Phone: +1-860-679-4282; Fax: +1-860-679-1296. Email: steffens@uchc.edu.
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Abstract

Objective:

This study sought to conduct a comprehensive search for genetic risk of cognitive decline in the context of geriatric depression.

Design:

A genome-wide association study (GWAS) analysis in the Neurocognitive Outcomes of Depression in the Elderly (NCODE) study.

Setting:

Longitudinal, naturalistic follow-up study.

Participants:

Older depressed adults, both outpatients and inpatients, receiving care at an academic medical center.

Measurements:

The Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) neuropsychological battery was administered to the study participants at baseline and a minimum of twice within a subsequent 3-year period in order to measure cognitive decline. A GWAS analysis was conducted to identify genetic variation that is associated with baseline and change in the CERAD Total Score (CERAD-TS) in NCODE.

Results:

The GWAS of baseline CERAD-TS revealed a significant association with an intergenic single-nucleotide polymorphism (SNP) on chromosome 6, rs17662598, that surpassed adjustment for multiple testing (p = 3.7 × 10−7; false discovery rate q = 0.0371). For each additional G allele, average baseline CERAD-TS decreased by 8.656 points. The most significant SNP that lies within a gene was rs11666579 in SLC27A1 (p = 1.1 × 10−5). Each additional copy of the G allele was associated with an average decrease of baseline CERAD-TS of 4.829 points. SLC27A1 is involved with processing docosahexaenoic acid (DHA), an endogenous neuroprotective compound in the brain. Decreased levels of DHA have been associated with the development of Alzheimer’s disease. The most significant SNP associated with CERAD-TS decline over time was rs73240021 in GRXCR1 (p = 1.1 × 10−6), a gene previously linked with deafness. However, none of the associations within genes survived adjustment for multiple testing.

Conclusions:

Our GWAS of cognitive function and decline among individuals with late-life depression (LLD) has identified promising candidate genes that, upon replication in other cohorts of LLD, may be potential biomarkers for cognitive decline and suggests DHA supplementation as a possible therapy of interest.

Keywords

affective disordersdementiagenes
Type
Original Research Article
Information
International Psychogeriatrics , First View , pp. 1 - 9
Copyright
© International Psychogeriatric Association 2020

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