Evidence map›Paper›PMID 27340842›Full record

ArticleJournal of Alzheimer's disease : JAD2016

Evaluation of a Genetic Risk Score to Improve Risk Prediction for Alzheimer's Disease.

Vincent Chouraki, Christiane Reitz, Fleur Maury, Joshua C Bis, Celine Bellenguez, Lei Yu, Johanna Jakobsdottir, Shubhabrata Mukherjee, Hieab H Adams, Seung Hoan Choi and 23 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 5 pooled it
6.4field-weighted citation impact, top 3% 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

62 citing papers in PubMed, 5 syntheses or guidelines pooled it, 100 citations in OpenAlex.

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2 more citing papers are in PubMed but not listed here.

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

33 authors at 11 institutions in 4 countries.

Vincent ChourakiDepartment of Neurology, Boston University School of Medicine, Boston, MA, USA.
Christiane ReitzColumbia University, New York, NY, USA.
Fleur MauryLille University, Inserm, Lille University Hospital, Institut Pasteur de Lille, U1167 - RID-AGE - Risk factors and molecular determinants of aging-related diseases; Labex Distalz, Lille, France.
Joshua C BisUniversity of Washington, Seattle, WA, USA.
Celine BellenguezLille University, Inserm, Lille University Hospital, Institut Pasteur de Lille, U1167 - RID-AGE - Risk factors and molecular determinants of aging-related diseases; Labex Distalz, Lille, France.
Lei YuRush Alzheimer's Disease Center, Chicago, IL, USA.
Johanna JakobsdottirIcelandic Heart Association, Kopavogur, Iceland.
Shubhabrata MukherjeeUniversity of Washington, Seattle, WA, USA.
Hieab H AdamsErasmus Medical Center, Rotterdam, The Netherlands.
Seung Hoan ChoiBoston University School of Public Health, Boston, MA, USA.
Eric B LarsonUniversity of Washington, Seattle, WA, USA.
Annette FitzpatrickUniversity of Washington, Seattle, WA, USA.
Andre G UitterlindenErasmus Medical Center, Rotterdam, The Netherlands.
Philip L de JagerProgram in Translational NeuroPsychiatric Genomics, Departments of Neurology & Psychiatry, Brigham and Women's Hospital, MA, USA.
Albert HofmanErasmus Medical Center, Rotterdam, The Netherlands.
Vilmundur GudnasonIcelandic Heart Association, Kopavogur, Iceland.
Badri VardarajanColumbia University, New York, NY, USA.
Carla Ibrahim-VerbaasErasmus Medical Center, Rotterdam, The Netherlands.
Sven J van der LeeErasmus Medical Center, Rotterdam, The Netherlands.
Oscar LopezAlzheimer's Disease Research Center, Departments of Neurology, Psychiatry and Psychology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Jean-François DartiguesInserm U1219, Bordeaux Population Health, University of Bordeaux, Bordeaux, France.
Claudine BerrInserm U1061 'Neuropsychiatry: epidemiological and clinical research', Université de Montpellier, Monpellier, France.
Philippe AmouyelLille University, Inserm, Lille University Hospital, Institut Pasteur de Lille, U1167 - RID-AGE - Risk factors and molecular determinants of aging-related diseases; Labex Distalz, Lille, France.
David A BennettRush Alzheimer's Disease Center, Chicago, IL, USA.
Cornelia van DuijnErasmus Medical Center, Rotterdam, The Netherlands.
Anita L DeStefanoBoston University School of Public Health, Boston, MA, USA.
Lenore J LaunerNational Institute on Aging, Bethesda, MD, USA.
M Arfan IkramErasmus Medical Center, Rotterdam, The Netherlands.
Paul K CraneUniversity of Washington, Seattle, WA, USA.
Jean-Charles LambertLille University, Inserm, Lille University Hospital, Institut Pasteur de Lille, U1167 - RID-AGE - Risk factors and molecular determinants of aging-related diseases; Labex Distalz, Lille, France.
Richard MayeuxColumbia University, New York, NY, USA.
Sudha SeshadriDepartment of Neurology, Boston University School of Medicine, Boston, MA, USA.
International Genomics of Alzheimer’s Project
Boston University · USInserm · FRErasmus MC · NLKaiser Permanente Washington Health Research Institute · USUniversity of Washington · USBrigham and Women's Hospital · USUniversité de Bordeaux · FRUniversity of Iceland · ISColumbia University · USIcelandic Heart Association · ISUniversity of Pittsburgh · US

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
UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1991 to 2020
$49.1M
EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
TREATMENT OF DEPRESSION IN ALZHEIMER'S DISEASEP50AG005133 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BECKER, JAMES T. · 1985 to 2019
$43.0M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PETER J TONTONOZ · 2003 to 2026
$40.4M
Furthering scientific understanding of mechanisms underlying resilience to the effects of AD pathology by incorporating state of the art quantification of gliosis, inflammation, & synaptic toxicityU01AG006781 · NIA · UNIVERSITY OF WASHINGTON · PI CRANE, PAUL K, LARSON, ERIC B · 1986 to 2020
$39.3M
The National Institute on Aging (NIA) Late Onset of Alzheimer's Disease (LOAD) Family-Based Study (FBS)U24AG056270 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Gary Wayne Beecham, TATIANA M. FOROUD · 2017 to 2026
$31.4M
UC Davis Alzheimer's Disease Core CenterP30AG010129 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI DECARLI, CHARLES · 1991 to 2020
$28.3M
PRECURSORS OF STROKE INCIDENCE AND PROGNOSISR01NS017950 · NINDS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Hugo Javier Aparicio, Jose Rafael Romero · 1985 to 2026
$22.9M
RISK FACTORS, PATHOLOGY, AND CLINICAL EXPRESSIONS OF ADR01AG015819 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1998 to 2024
$21.4M
EPIDEMIOLOGY OF DEMENTIA IN THE FRAMINGHAM STUDYR01AG008122 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI AU, RHODA, SESHADRI, SUDHA · 1989 to 2015
$14.4M
Medical Research Council G0300429Medical Research Council G0902227Medical Research Council MR/K013041/1Medical Research Council MR/L010305/1Medical Research Council MR/L023784/1Medical Research Council MR/L023784/2Medical Research Council MR/L501517/1NCATS NIH HHS UL1 TR000124NHGRI NIH HHS U01 HG004610NHGRI NIH HHS U01 HG006375NHLBI NIH HHS HHSN268200800007CNHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS HHSN268201500001CNHLBI NIH HHS HHSN268201500001INHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085080NHLBI NIH HHS N01 HC085081NHLBI NIH HHS N01 HC085082NHLBI NIH HHS N01 HC085083NHLBI NIH HHS N01 HC085086NHLBI NIH HHS R01 HL087652NHLBI NIH HHS R01 HL103612NHLBI NIH HHS R01 HL105756NHLBI NIH HHS R01 HL120393NHLBI NIH HHS U01 HL080295NIA NIH HHS N01 AG012100NIA NIH HHS P30 AG010129NIA NIH HHS P30 AG010161NIA NIH HHS P50 AG005133NIA NIH HHS R01 AG008122NIA NIH HHS R01 AG015819NIA NIH HHS R01 AG015928NIA NIH HHS R01 AG017917NIA NIH HHS R01 AG020098NIA NIH HHS R01 AG023629NIA NIH HHS R01 AG027058NIA NIH HHS R01 AG030146NIA NIH HHS R01 AG033193NIA NIH HHS R01 AG037212NIA NIH HHS R01 AG041797NIA NIH HHS R01 AG054076NIA NIH HHS RF1 AG015473NIA NIH HHS RF1 AG015819NIA NIH HHS U01 AG006781NIA NIH HHS U01 AG049505NIA NIH HHS U24 AG021886NIA NIH HHS U24 AG056270NIDDK NIH HHS P30 DK063491NINDS NIH HHS R01 NS017950
6 · The paper itself

Abstract

Effective prevention of Alzheimer's disease (AD) requires the development of risk prediction tools permitting preclinical intervention. We constructed a genetic risk score (GRS) comprising common genetic variants associated with AD, evaluated its association with incident AD and assessed its capacity to improve risk prediction over traditional models based on age, sex, education, and APOEɛ4. In eight prospective cohorts included in the International Genomics of Alzheimer's Project (IGAP), we derived weighted sum of risk alleles from the 19 top SNPs reported by the IGAP GWAS in participants aged 65 and older without prevalent dementia. Hazard ratios (HR) of incident AD were estimated in Cox models. Improvement in risk prediction was measured by the difference in C-index (Δ-C), the integrated discrimination improvement (IDI) and continuous net reclassification improvement (NRI>0). Overall, 19,687 participants at risk were included, of whom 2,782 developed AD. The GRS was associated with a 17% increase in AD risk (pooled HR = 1.17; 95% CI =   [1.13-1.21] per standard deviation increase in GRS; p-value =  2.86×10-16). This association was stronger among persons with at least one APOEɛ4 allele (HRGRS = 1.24; 95% CI =   [1.15-1.34]) than in others (HRGRS = 1.13; 95% CI =   [1.08-1.18]; pinteraction = 3.45×10-2). Risk prediction after seven years of follow-up showed a small improvement when adding the GRS to age, sex, APOEɛ4, and education (Δ-Cindex =  0.0043 [0.0019-0.0067]). Similar patterns were observed for IDI and NRI>0. In conclusion, a risk score incorporating common genetic variation outside the APOEɛ4 locus improved AD risk prediction and may facilitate risk stratification for prevention trials.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseApolipoprotein E4Cohort StudiesEducational StatusFemaleGenetic Predisposition to DiseaseGenetic TestingGenome-Wide Association StudyHumansMaleNeuropsychological TestsPolymorphism, Single NucleotidePredictive Value of TestsProportional Hazards ModelsApolipoprotein E4Alzheimer’s diseaseclinical utilitycohort studiesgenetic risk scoreIGAPmeta-analysisrisk prediction

Identifiers

PMID27340842
PMCPMC5036102
OpenAlexW2465169012

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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 OpenQuestion graph.