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Association of Long Runs of Homozygosity With Alzheimer Disease Among African American Individuals

Overview of attention for article published in JAMA Neurology, November 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Average Attention Score compared to outputs of the same age and source

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1 news outlet
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11 X users

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38 Dimensions

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127 Mendeley
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Title
Association of Long Runs of Homozygosity With Alzheimer Disease Among African American Individuals
Published in
JAMA Neurology, November 2015
DOI 10.1001/jamaneurol.2015.1700
Pubmed ID
Authors

Mahdi Ghani, Christiane Reitz, Rong Cheng, Badri Narayan Vardarajan, Gyungah Jun, Christine Sato, Adam Naj, Ruchita Rajbhandary, Li-San Wang, Otto Valladares, Chiao-Feng Lin, Eric B Larson, Neill R Graff-Radford, Denis Evans, Philip L De Jager, Paul K Crane, Joseph D Buxbaum, Jill R Murrell, Towfique Raj, Nilufer Ertekin-Taner, Mark Logue, Clinton T Baldwin, Robert C Green, Lisa L Barnes, Laura B Cantwell, M Daniele Fallin, Rodney C P Go, Patrick A Griffith, Thomas O Obisesan, Jennifer J Manly, Kathryn L Lunetta, M Ilyas Kamboh, Oscar L Lopez, David A Bennett, Hugh Hendrie, Kathleen S Hall, Alison M Goate, Goldie S Byrd, Walter A Kukull, Tatiana M Foroud, Jonathan L Haines, Lindsay A Farrer, Margaret A Pericak-Vance, Joseph H Lee, Gerard D Schellenberg, Peter St George-Hyslop, Richard Mayeux, Ekaterina Rogaeva

Abstract

Mutations in known causal Alzheimer disease (AD) genes account for only 1% to 3% of patients and almost all are dominantly inherited. Recessive inheritance of complex phenotypes can be linked to long (>1-megabase [Mb]) runs of homozygosity (ROHs) detectable by single-nucleotide polymorphism (SNP) arrays. To evaluate the association between ROHs and AD in an African American population known to have a risk for AD up to 3 times higher than white individuals. Case-control study of a large African American data set previously genotyped on different genome-wide SNP arrays conducted from December 2013 to January 2015. Global and locus-based ROH measurements were analyzed using raw or imputed genotype data. We studied the raw genotypes from 2 case-control subsets grouped based on SNP array: Alzheimer's Disease Genetics Consortium data set (871 cases and 1620 control individuals) and Chicago Health and Aging Project-Indianapolis Ibadan Dementia Study data set (279 cases and 1367 control individuals). We then examined the entire data set using imputed genotypes from 1917 cases and 3858 control individuals. The ROHs larger than 1 Mb, 2 Mb, or 3 Mb were investigated separately for global burden evaluation, consensus regions, and gene-based analyses. The African American cohort had a low degree of inbreeding (F ~ 0.006). In the Alzheimer's Disease Genetics Consortium data set, we detected a significantly higher proportion of cases with ROHs greater than 2 Mb (P = .004) or greater than 3 Mb (P = .02), as well as a significant 114-kilobase consensus region on chr4q31.3 (empirical P value 2 = .04; ROHs >2 Mb). In the Chicago Health and Aging Project-Indianapolis Ibadan Dementia Study data set, we identified a significant 202-kilobase consensus region on Chr15q24.1 (empirical P value 2 = .02; ROHs >1 Mb) and a cluster of 13 significant genes on Chr3p21.31 (empirical P value 2 = .03; ROHs >3 Mb). A total of 43 of 49 nominally significant genes common for both data sets also mapped to Chr3p21.31. Analyses of imputed SNP data from the entire data set confirmed the association of AD with global ROH measurements (12.38 ROHs >1 Mb in cases vs 12.11 in controls; 2.986 Mb average size of ROHs >2 Mb in cases vs 2.889 Mb in controls; and 22% of cases with ROHs >3 Mb vs 19% of controls) and a gene-cluster on Chr3p21.31 (empirical P value 2 = .006-.04; ROHs >3 Mb). Also, we detected a significant association between AD and CLDN17 (empirical P value 2 = .01; ROHs >1 Mb), encoding a protein from the Claudin family, members of which were previously suggested as AD biomarkers. To our knowledge, we discovered the first evidence of increased burden of ROHs among patients with AD from an outbred African American population, which could reflect either the cumulative effect of multiple ROHs to AD or the contribution of specific loci harboring recessive mutations and risk haplotypes in a subset of patients. Sequencing is required to uncover AD variants in these individuals.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Austria 1 <1%
Unknown 126 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 19%
Professor 16 13%
Student > Ph. D. Student 12 9%
Other 9 7%
Student > Master 9 7%
Other 25 20%
Unknown 32 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 18%
Neuroscience 20 16%
Medicine and Dentistry 16 13%
Agricultural and Biological Sciences 13 10%
Nursing and Health Professions 4 3%
Other 15 12%
Unknown 36 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 20 June 2016.
All research outputs
#2,191,087
of 25,374,917 outputs
Outputs from JAMA Neurology
#2,010
of 5,847 outputs
Outputs of similar age
#30,910
of 294,812 outputs
Outputs of similar age from JAMA Neurology
#49
of 86 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,847 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.2. This one has gotten more attention than average, scoring higher than 65% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 294,812 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.