| Title |
Genetic architecture of age-related cognitive decline in African Americans
|
|---|---|
| Published in |
Neurology: Genetics, December 2016
|
| DOI | 10.1212/nxg.0000000000000125 |
| Pubmed ID | |
| Authors |
Towfique Raj, Lori B Chibnik, Cristin McCabe, Andus Wong, Joseph M Replogle, Lei Yu, Sujuan Gao, Frederick W Unverzagt, Barbara Stranger, Jill Murrell, Lisa Barnes, Hugh C Hendrie, Tatiana Foroud, Anna Krichevsky, David A Bennett, Kathleen S Hall, Denis A Evans, Philip L De Jager |
| Abstract |
To identify genetic risk factors associated with susceptibility to age-related cognitive decline in African Americans (AAs). We performed a genome-wide association study (GWAS) and an admixture-mapping scan in 3,964 older AAs from 5 longitudinal cohorts; for each participant, we calculated a slope of an individual's global cognitive change from neuropsychological evaluations. We also performed a pathway-based analysis of the age-related cognitive decline GWAS. We found no evidence to support the existence of a genomic region which has a strongly different contribution to age-related cognitive decline in African and European genomes. Known Alzheimer disease (AD) susceptibility variants in the ABCA7 and MS4A loci do influence this trait in AAs. Of interest, our pathway-based analyses returned statistically significant results highlighting a shared risk from lipid/metabolism and protein tyrosine signaling pathways between cognitive decline and AD, but the role of inflammatory pathways is polarized, being limited to AD susceptibility. The genetic architecture of aging-related cognitive in AA individuals is largely similar to that of individuals of European descent. In both populations, we note a surprising lack of enrichment for immune pathways in the genetic risk for cognitive decline, despite strong enrichment of these pathways among genetic risk factors for AD. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 50% |
| Sweden | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 50% |
| Scientists | 4 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 32% |
| Professor > Associate Professor | 4 | 13% |
| Student > Ph. D. Student | 3 | 10% |
| Other | 2 | 6% |
| Student > Doctoral Student | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 6 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 23% |
| Neuroscience | 3 | 10% |
| Psychology | 3 | 10% |
| Medicine and Dentistry | 3 | 10% |
| Economics, Econometrics and Finance | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 8 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 November 2019.
All research outputs
#2,515,702
of 25,604,262 outputs
Outputs from Neurology: Genetics
#145
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Outputs of similar age
#48,193
of 423,955 outputs
Outputs of similar age from Neurology: Genetics
#2
of 14 outputs
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