Evidence map›Paper›PMID 31282417›Full record

SynthesisJournal of Alzheimer's disease : JAD2019

Evaluation of the Genetic Variance of Alzheimer's Disease Explained by the Disease-Associated Chromosomal Regions.

Alireza Nazarian, Alexander M Kulminski

Abstract readMeta-Analysis
In one paragraph

Synthesis in Journal of Alzheimer's disease : JAD, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. The MUC6/AP2A2 Locus and Its Relevance to Alzheimer's Disease: A Review.Journal of neuropathology and experimental neurology · 2020
    Review
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

2 authors.

Alireza NazarianBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA.
Alexander M KulminskiBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA.

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
EPIDEMIOLOGY OF DEMENTIA IN THE FRAMINGHAM STUDYR01AG008122 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI AU, RHODA, SESHADRI, SUDHA · 1989 to 2015
$14.4M
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
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
Framingham: Inflammation, Genes &Cardiovascular DiseaseR01HL076784 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BENJAMIN, EMELIA J. · 2004 to 2008
$3.9M
VASOACTIVE PEPTIDES WHICH STIMULATE SMOOTH MUSCLESR01HL036473 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI ERDOS, ERVIN G, SKIDGEL, RANDAL A · 1985 to 2010
$3.4M
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
Biomarkers of Metabolic and Vascular Risk in ObesityR01DK080739 · NIDDK · BOSTON UNIVERSITY MEDICAL CAMPUS · PI RAMACHANDRAN, VASAN S · 2008 to 2011
$2.1M
Aging and Inflammation: Longitudinal Markers and Genetics in the Framingham StudyR01AG028321 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BENJAMIN, EMELIA J. · 2006 to 2010
$1.8M
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
–
NHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01 HC065226NHLBI NIH HHS N02 HL064278NHLBI NIH HHS R01 HL036473NHLBI NIH HHS R01 HL076784NIA NIH HHS P01 AG043352NIA NIH HHS R01 AG008122NIA NIH HHS R01 AG028321NIA NIH HHS R01 AG047310NIA NIH HHS RC2 AG036495NIA NIH HHS RC4 AG039029NIA NIH HHS U01 AG009740NIDDK NIH HHS R01 DK080739
6 · The paper itself

Abstract

Heritability analysis of complex traits/diseases is commonly performed to obtain illustrative information about the potential contribution of the genetic factors to their phenotypic variances. In this study, we investigated the narrow-sense heritability (h2) of Alzheimer's disease (AD) using genome-wide single-nucleotide polymorphisms (SNPs) data from three independent studies in the linear mixed models framework. Our meta-analyses demonstrated that the estimated h2 values (and their standard errors) of AD in liability scale were 0.280 (0.091), 0.348 (0.113), and 0.389 (0.126) assuming AD prevalence rates of 10%, 20%, or 30% at ages of 65+, 75+, and 85+ years, respectively. We also found that chromosomal regions containing two or more AD-associated SNPs at p < 5E-08 could collectively explain 37% of the additive genetic variance of AD in our samples. AD-associated regions in which at least one SNP had attained p < 5E-08 explained 56% of the additive genetic variance of AD. These regions harbored 3% and 11% of SNPs in our analyses. Also, the chromosomal regions containing two or more and one or more AD-associated SNPs at p < 5E-06 accounted for 72% and 94% of the additive genetic variance of AD, respectively. These regions harbored 27% and 44% of SNPs in our analyses. Our findings showed that the overall contribution of the additive genetic effects to the AD liability was moderate and age-dependent. Also, they supported the importance of focusing on known AD-associated chromosomal regions to investigate the genetic basis of AD, e.g., through haplotype analysis, analysis of heterogeneity, and functional studies.

Indexed as

Alzheimer DiseaseGenetic Association StudiesGenetic VariationMultifactorial InheritanceAgedAged, 80 and overDatasets as TopicFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMalePolymorphism, Single NucleotideUnited StatesAgingcomplex disordersdementiamissing heritabilitynarrow-sense heritabilityneurodegenerative disorderspolygenic inheritance

Identifiers

PMID31282417
PMCPMC7243481

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.