Evidence map›Paper›PMID 29107063›Full record

ArticleExperimental gerontology2018

Hidden heterogeneity in Alzheimer's disease: Insights from genetic association studies and other analyses.

Anatoliy I Yashin, Fang Fang, Mikhail Kovtun, Deqing Wu, Matt Duan, Konstantin Arbeev, Igor Akushevich, Alexander Kulminski, Irina Culminskaya, Ilya Zhbannikov and 3 more

Abstract read
In one paragraph

Article in Experimental gerontology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 2 pooled it
4.2field-weighted citation impact, top 5% 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

52 citing papers in PubMed, 2 syntheses or guidelines pooled it, 78 citations in OpenAlex.

  1. Pooled it
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  8. Lower Hippocampal Volume Partly Mediates the Association Between rs6859 in themedRxiv : the preprint server for health sciences · 2025
    Article
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  10. Amyloid β-Induced Inflammarafts in Alzheimer's Disease.International journal of molecular sciences · 2025
    Review
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  15. The association between rs6859 inmedRxiv : the preprint server for health sciences · 2024
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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

13 authors at 2 institutions in 1 country.

Anatoliy I YashinBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, 2024 W. Main Street, Durham, NC 27705, USA. Electronic address: aiy@duke.edu.
Fang FangBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, 2024 W. Main Street, Durham, NC 27705, USA.
Mikhail KovtunBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, 2024 W. Main Street, Durham, NC 27705, USA.
Deqing WuBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, 2024 W. Main Street, Durham, NC 27705, USA.
Matt DuanBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, 2024 W. Main Street, Durham, NC 27705, USA.
Konstantin ArbeevBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, 2024 W. Main Street, Durham, NC 27705, USA.
Igor AkushevichBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, 2024 W. Main Street, Durham, NC 27705, USA.
Alexander KulminskiBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, 2024 W. Main Street, Durham, NC 27705, USA.
Irina CulminskayaBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, 2024 W. Main Street, Durham, NC 27705, USA.
Ilya ZhbannikovBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, 2024 W. Main Street, Durham, NC 27705, USA.
Arseniy YashkinBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, 2024 W. Main Street, Durham, NC 27705, USA.
Eric StallardBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, 2024 W. Main Street, Durham, NC 27705, USA.
Svetlana UkraintsevaBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, 2024 W. Main Street, Durham, NC 27705, USA. Electronic address: svo@duke.edu.
Duke University · USSocial Science Research Council · US

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Caterina Rosano · 2004 to 2026
$28.6M
STALLARD Admin Supp: Predicting Future Care Needs and Costs for Individual Medicare Enrollees with Incident Suspected Alzheimer's DiseaseP30AG034424 · NIA · DUKE UNIVERSITY · PI SCOTT M. LYNCH · 2009 to 2026
$12.2M
Relationships among Genetic Regulators of Aging Health and LifespanP01AG043352 · NIA · DUKE UNIVERSITY · PI KULMINSKI, ALEXANDER M · 2014 to 2018
$8.7M
Creating a National Resource for Genetic Research in Behavioral & Health SciencesRC2AG036495 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WEIR, DAVID R. · 2009 to 2010
$7.4M
CHS Events Follow-up StudyR01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2009 to 2014
$6.3M
Expanding a National Resource for Genetic Research in Behavioral & Health ScienceRC4AG039029 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WEIR, DAVID R. · 2010 to 2010
$6.0M
CHS Events Follow-up StudyU01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2005 to 2008
$4.6M
Predictors of Alheimers Disease in Mild Cognitive ImpairmentR01AG020098 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOPEZ, OSCAR L. · 2002 to 2011
$3.7M
Genetics of changes in population pyramids: Implications for health forecasting with a focus on Alzheimer's Disease and related dementiasRF1AG046860 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2019 to 2019
$3.1M
YASHIN Admin Supp: Time Trends in Alzheimer's Disease: Addressing the Changing Role of Risk Factors and Instrument ValidityR01AG046860 · NIA · DUKE UNIVERSITY · PI YASHIN, ANATOLIY I · 2014 to 2018
$3.1M
Role of EIIIA fibronectin in pulmonary fibrosisR01HL085083 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WHITE, ERIC S · 2007 to 2011
$1.9M
NHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC075150NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085084NHLBI NIH HHS N01 HC085085NHLBI NIH HHS N01 HC085086NHLBI NIH HHS N01HC85080NHLBI NIH HHS N01HC85081NHLBI NIH HHS N01HC85082NHLBI NIH HHS N01HC85083NHLBI NIH HHS R01 HL075366NHLBI NIH HHS R01 HL080295NHLBI NIH HHS U01 HL080295NIA NIH HHS P01 AG043352NIA NIH HHS P30 AG024827NIA NIH HHS P30 AG034424NIA NIH HHS R01 AG015928NIA NIH HHS R01 AG020098NIA NIH HHS R01 AG027058NIA NIH HHS R01 AG046860NIA NIH HHS RC2 AG036495NIA NIH HHS RC4 AG039029NIA NIH HHS RF1 AG046860NIA NIH HHS U01 AG009740NICHD NIH HHS R03 HD050374
6 · The paper itself

Abstract

Despite evident success in clarifying many important features of Alzheimer's disease (AD) the efficient methods of its prevention and treatment are not yet available. The reasons are likely to be the fact that AD is a multifactorial and heterogeneous health disorder with multiple alternative pathways of disease development and progression. The availability of genetic data on individuals participated in longitudinal studies of aging health and longevity, as well as on participants of cross-sectional case-control studies allow for investigating genetic and non-genetic connections with AD and to link the results of these analyses with research findings obtained in clinical, experimental, and molecular biological studies of this health disorder. The objective of this paper is to perform GWAS of AD in several study populations and investigate possible roles of detected genetic factors in developing AD hallmarks and in other health disorders. The data collected in the Framingham Heart Study (FHS), Cardiovascular Health Study (CHS), Health and Retirement Study (HRS) and Late Onset Alzheimer's Disease Family Study (LOADFS) were used in these analyses. The logistic regression and Cox's regression were used as statistical models in GWAS. The results of analyses confirmed strong associations of genetic variants from well-known genes APOE, TOMM40, PVRL2 (NECTIN2), and APOC1 with AD. Possible roles of these genes in pathological mechanisms resulting in development of hallmarks of AD are described. Many genes whose connection with AD was detected in other studies showed nominally significant associations with this health disorder in our study. The evidence on genetic connections between AD and vulnerability to infection, as well as between AD and other health disorders, such as cancer and type 2 diabetes, were investigated. The progress in uncovering hidden heterogeneity in AD would be substantially facilitated if common mechanisms involved in development of AD, its hallmarks, and AD related chronic conditions were investigated in their mutual connection.

Indexed as

Genetic HeterogeneityAlzheimer DiseaseCase-Control StudiesFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLogistic ModelsLongitudinal StudiesMalePolymorphism, Single NucleotideAmyloid cascade hypothesisBBBCancerDiabetesNeurodegenerationNeuroinflammationNeuronal deathPleiotropyResponse to infectionSynapse loss

Identifiers

PMID29107063
PMCPMC5920782
OpenAlexW2765938386

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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 OpenQuestion graph.