Evidence map›Paper›PMID 30636644›Full record

ArticleAlzheimer's research & therapy2019

Genome-wide analysis of genetic predisposition to Alzheimer's disease and related sex disparities.

Alireza Nazarian, Anatoliy I Yashin, Alexander M Kulminski

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's research & therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
12.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

54 citing papers in PubMed, 81 citations in OpenAlex.

  1. New Genetic Associations Between Alzheimer's Disease and Its Key Risk Factors.Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society · 2026
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  5. Integrative multi-omics approaches identify molecular pathways and improve Alzheimer's disease risk prediction.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Alireza NazarianBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Erwin Mill Building, 2024 W. Main St., Durham, NC, 27705, USA. alireza.nazarian@duke.edu.
Anatoliy I YashinBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Erwin Mill Building, 2024 W. Main St., Durham, NC, 27705, USA.
Alexander M KulminskiBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Erwin Mill Building, 2024 W. Main St., Durham, NC, 27705, USA. kulminsk@duke.edu.
Social Science Research Council · USDuke University · US

Funding

STALLARD Admin Supp: Predicting Future Care Needs and Costs for Individual Medicare Enrollees with Incident Suspected Alzheimer's DiseaseP30AG034424 · NIA · DUKE UNIVERSITY · PI Herman Pontzer · 2009 to 2026
$12.2M
Relationships among Genetic Regulators of Aging Health and LifespanP01AG043352 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2014 to 2018
$8.7M
Molecular signatures of health and life span disparities between whites and African-Americans in the APOE regionR01AG047310 · NIA · DUKE UNIVERSITY · PI KULMINSKI, ALEXANDER M · 2015 to 2019
$2.5M
Explanations of Racial Disparities in Active LifeR03HD050374 · NICHD · PRINCETON UNIVERSITY · PI LYNCH, SCOTT M · 2005 to 2006
$156k
NIA NIH HHS P01 AG043352NIA NIH HHS P30 AG034424NIA NIH HHS R01 AG047310NICHD NIH HHS R03 HD050374
6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) is the most common cause of dementia in the elderly and the sixth leading cause of death in the United States. AD is mainly considered a complex disorder with polygenic inheritance. Despite discovering many susceptibility loci, a major proportion of AD genetic variance remains to be explained.

methodsWe investigated the genetic architecture of AD in four publicly available independent datasets through genome-wide association, transcriptome-wide association, and gene-based and pathway-based analyses. To explore differences in the genetic basis of AD between males and females, analyses were performed on three samples in each dataset: males and females combined, only males, or only females.

resultsOur genome-wide association analyses corroborated the associations of several previously detected AD loci and revealed novel significant associations of 35 single-nucleotide polymorphisms (SNPs) outside the chromosome 19q13 region at the suggestive significance level of p < 5E-06. These SNPs were mapped to 21 genes in 19 chromosomal regions. Of these, 17 genes were not associated with AD at genome-wide or suggestive levels of associations by previous genome-wide association studies. Also, the chromosomal regions corresponding to 8 genes did not contain any previously detected AD-associated SNPs with p < 5E-06. Our transcriptome-wide association and gene-based analyses revealed that 26 genes located in 20 chromosomal regions outside chromosome 19q13 had evidence of potential associations with AD at a false discovery rate of 0.05. Of these, 13 genes/regions did not contain any previously AD-associated SNPs at genome-wide or suggestive levels of associations. Most of the newly detected AD-associated SNPs and genes were sex specific, indicating sex disparities in the genetic basis of AD. Also, 7 of 26 pathways that showed evidence of associations with AD in our pathway-bases analyses were significant only in females.

conclusionsOur findings, particularly the newly discovered sex-specific genetic contributors, provide novel insight into the genetic architecture of AD and can advance our understanding of its pathogenesis.

Indexed as

Sex CharacteristicsAgedAged, 80 and overAlzheimer DiseaseCase-Control StudiesCohort StudiesDatabases, FactualFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMalePolymorphism, Single NucleotideAlzheimer’s diseaseGene-based analysisGenome-wide association studyMeta-analysisSex disparities

Identifiers

PMID30636644
PMCPMC6330399
OpenAlexW2949410670

What Socratic holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.