Evidence map›Paper›PMID 28869480›Full record

ArticleJournal of Alzheimer's disease : JAD2017

Genetically-Predicted Adult Height and Alzheimer's Disease.

Susanna C Larsson, Matthew Traylor, Stephen Burgess, Hugh S Markus

Open access · greenAbstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2017. 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
0.7field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
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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

4 authors at 2 institutions in 2 countries.

Susanna C LarssonUnit of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Matthew TraylorStroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Stephen BurgessMRC Biostatistics Unit, University of Cambridge, Cambridge, UK.
Hugh S MarkusStroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
University of Cambridge · GBKarolinska Institutet · SE

Funding

National Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD)U24AG021886 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI TATIANA M. FOROUD · 2002 to 2026
$119.8M
NATIONAL ALZHEIMERS COORDINATING CENTER (NACC)U01AG016976 · NIA · UNIVERSITY OF WASHINGTON · PI KUKULL, WALTER ANTHONY · 1999 to 2020
$72.8M
Alzheimer's Disease Genetics ConsortiumU01AG032984 · NIA · UNIVERSITY OF PENNSYLVANIA · PI SCHELLENBERG, GERARD DAVID · 2009 to 2024
$60.4M
CHARGE Consortium: Omics Discovery for CVD and Aging PhenotypesR01HL105756 · NHLBI · UNIVERSITY OF WASHINGTON · PI Bruce M Psaty, NICHOLAS L SMITH · 2011 to 2026
$9.5M
Collaborative GWAS of Dementia, AD and related MRI and Cognitive EndophenotypesR01AG033193 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI SESHADRI, SUDHA · 2009 to 2016
$4.4M
British Heart Foundation RG/08/014/24067Medical Research Council MC_UU_00002/7Medical Research Council MR/L003120/1NHLBI NIH HHS R01 HL105756NIA NIH HHS R01 AG033193NIA NIH HHS U01 AG016976NIA NIH HHS U01 AG032984NIA NIH HHS U24 AG021886Wellcome Trust 204623/Z/16/Z
6 · The paper itself

Abstract

backgroundObservational studies have linked increased adult height with better cognitive performance and reduced risk of Alzheimer's disease (AD). It is unclear whether the associations are due to shared biological processes that influence height and AD or due to confounding by early life exposures or environmental factors.

objectiveTo use a genetic approach to investigate the association between adult height and AD.

methodsWe selected 682 single nucleotide polymorphisms (SNPs) associated with height at genome-wide significance (p < 5×10-8) in the Genetic Investigation of ANthropometric Traits (GIANT) consortium. Summary statistics for each of these SNPs on AD were obtained from the International Genomics of Alzheimer's Project (IGAP) of 17,008 individuals with AD and 37,154 controls. The estimate of the association between genetically predicted height and AD was calculated using the inverse-variance weighted method.

resultsThe odds ratio of AD was 0.91 (95% confidence interval, 0.86-0.95; p = 9.8×10-5) per one standard deviation increase (about 6.5 cm) in genetically predicted height based on 682 SNPs, which were clustered in 419 loci. In an analysis restricted to one SNP from each height-associated locus (n = 419 SNPs), the corresponding OR was 0.92 (95% confidence interval, 0.86-0.97; p = 4.8×10-3).

conclusionsThis finding suggests that biological processes that influence adult height may have a role in the etiology of AD.

Indexed as

Genetic Predisposition to DiseaseAdultAlzheimer DiseaseAnthropometryBody HeightFemaleGenome-Wide Association StudyHumansMaleOdds RatioPolymorphism, Single NucleotideRisk FactorsAlzheimer’s diseaseanthropometrygeneticspolymorphismsingle nucleotide

Identifiers

PMID28869480
PMCPMC6037293
OpenAlexW2751468214

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.