Evidence map›Paper›PMID 35879306›Full record

ArticleTranslational psychiatry2022

Polygenic resilience scores capture protective genetic effects for Alzheimer's disease.

Jiahui Hou, Jonathan L Hess, Nicola Armstrong, Joshua C Bis, Benjamin Grenier-Boley, Ida K Karlsson, Ganna Leonenko, Katya Numbers, Eleanor K O'Brien, Alexey Shadrin and 25 more

Abstract read
In one paragraph

Article in Translational psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Meta-Analysis of Transcriptomic Studies of Blood and Six Brain Regions Identifies a Consensus of 15 Cross-Tissue Mechanisms in Alzheimer's Disease and Suggests an Origin of Cross-Study Heterogeneity.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2025
    Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
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  10. GRPa-PRS: A risk stratification method to identify genetically-regulated pathways in polygenic diseases.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  11. Association of rareJournal of Alzheimer's disease : JAD · 2025
    Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Alzheimer's disease protective allele ofmedRxiv : the preprint server for health sciences · 2024
    Article
  17. Biological resilience in health and disease.Disease models & mechanisms · 2024
    Review
  18. Attention-deficit/hyperactivity disorder.Nature reviews. Disease primers · 2024
    Review
  19. Review
  20. Polygenic resilience score may be sensitive to preclinical Alzheimer's disease changes.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2023
    Article
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

35 authors.

Jiahui HouPsychiatric Genetic Epidemiology & Neurobiology Laboratory (PsychGENe Lab), SUNY Upstate Medical University, Syracuse, NY, USA.
Jonathan L HessPsychiatric Genetic Epidemiology & Neurobiology Laboratory (PsychGENe Lab), SUNY Upstate Medical University, Syracuse, NY, USA.ORCID 0000-0001-8406-632X
Nicola ArmstrongMathematics and Statistics, Curtin University, Perth, WA, Australia.
Joshua C BisDepartment of Medicine, Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA.ORCID 0000-0002-3409-1110
Benjamin Grenier-BoleyU1167-RID-AGE - Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Univ. Lille, Inserm, CHU Lille, Institut Pasteur Lille, F-59000, Lille, France.
Ida K KarlssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Ganna LeonenkoDementia Research Institute, School of Medicine, Cardiff University, Cardiff, UK.
Katya NumbersCentre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.
Eleanor K O'BrienCentre for Precision Health, Edith Cowan University, Joondalup, WA, Australia.
Alexey ShadrinNORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.ORCID 0000-0002-7467-250X
Anbupalam ThalamuthuCentre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.
Qiong YangDepartment of Biostatistics, School of Public Health, Boston University, Boston, MA, USA.ORCID 0000-0002-3658-1375
Ole A AndreassenNORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.ORCID 0000-0002-4461-3568
Henry BrodatyCentre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.ORCID 0000-0001-9487-6617
Margaret GatzDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-1071-9970
Nicole A KochanCentre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.
Jean-Charles LambertU1167-RID-AGE - Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Univ. Lille, Inserm, CHU Lille, Institut Pasteur Lille, F-59000, Lille, France.ORCID 0000-0003-0829-7817
Simon M LawsCentre for Precision Health, Edith Cowan University, Joondalup, WA, Australia.ORCID 0000-0002-4355-7082
Colin L MastersThe Florey Institute, The University of Melbourne, Melbourne, VIC, Australia.
Karen A MatherCentre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.ORCID 0000-0003-4143-8941
Nancy L PedersenDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Danielle PosthumaDepartment of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit, Amsterdam, the Netherlands.ORCID 0000-0001-7582-2365
Perminder S SachdevCentre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.ORCID 0000-0002-9595-3220
Julie WilliamsDivision of Psychological Medicine and Clinical Neurology and Medical Research Council (MRC) Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Cardiff, UK.ORCID 0000-0002-4069-0259
Alzheimer’s Disease Neuroimaging Initiative
Chun Chieh FanDepartment of Cognitive Science, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0001-9437-2128
Stephen V FaraoneDepartment of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA.
Christine Fennema-NotestineDepartments of Psychiatry and Radiology, University of California San Diego, La Jolla, CA, USA.
Shu-Ju LinDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Valentina Escott-PriceDementia Research Institute, School of Medicine, Cardiff University, Cardiff, UK.ORCID 0000-0003-1784-5483
Peter HolmansDivision of Psychological Medicine and Clinical Neurology and Medical Research Council (MRC) Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Cardiff, UK.ORCID 0000-0003-0870-9412
Sudha SeshadriDepartment of Neurology, School of Medicine, Boston University, Boston, MA, USA.
Ming T TsuangDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0002-0076-5340
William S KremenDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Stephen J GlattPsychiatric Genetic Epidemiology & Neurobiology Laboratory (PsychGENe Lab), SUNY Upstate Medical University, Syracuse, NY, USA. stephen.glatt@psychgenelab.com.ORCID 0000-0002-0360-7567

Funding

The VETSA Longitudinal Twin Study of Cognition and Aging (VETSA 4)R01AG050595 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELMAN, JEREMY A, FRANZ, CAROL ELAINE · 2015 to 2024
$28.0M
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
The VETSA Longitudinal MRI Twin Study of Aging (VETSA MRI 4)R01AG076838 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE, Jeremy A Elman · 2022 to 2026
$8.7M
SLE Treatment with N-acetylcysteineU01AR076092 · NIAMS · UPSTATE MEDICAL UNIVERSITY · PI Michael P McDermott, Andras Perl · 2020 to 2026
$7.9M
Discoveries in ADHD genomics: Help or hype in clinical settings?R01MH116037 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI DOYLE, ALYSA E · 2019 to 2023
$4.4M
Genetic Predictors, Transcriptomic Biomarkers, & Neurobiological Signatures of Resilience to Alzheimer's DiseaseR01AG064955 · NIA · UPSTATE MEDICAL UNIVERSITY · PI FENNEMA-NOTESTINE, CHRISTINE, GLATT, STEPHEN J · 2019 to 2023
$3.8M
Clarifying risk and protective factors for dementia with the Interplay of Genes and Environment in Multiple Studies (IGEMS) consortiumR01AG060470 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GATZ, MARGARET, PEDERSEN, NANCY L · 2018 to 2022
$3.6M
Gene Expression Biomarkers for Early Identification of Mild Cognitive Impairment: A Twin StudyR01AG054002 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GLATT, STEPHEN J, TSUANG, MING T. · 2016 to 2019
$2.7M
Medical Research Council G0300429Medical Research Council G0902227Medical Research Council MC_PC_17112Medical Research Council MR/K013041/1Medical Research Council MR/L010305/1Medical Research Council MR/L023784/2Medical Research Council MR/L501517/1Medical Research Council MR/T04604X/1NHLBI NIH HHS R01 HL105756NIAMS NIH HHS U01 AR076092NIA NIH HHS R01 AG050595NIA NIH HHS R01 AG054002NIA NIH HHS R01AG054002NIA NIH HHS R01 AG060470NIA NIH HHS R01 AG064955NIA NIH HHS R01AG064955NIA NIH HHS R01 AG076838NIMH NIH HHS R01 MH116037
6 · The paper itself

Abstract

Polygenic risk scores (PRSs) can boost risk prediction in late-onset Alzheimer's disease (LOAD) beyond apolipoprotein E (APOE) but have not been leveraged to identify genetic resilience factors. Here, we sought to identify resilience-conferring common genetic variants in (1) unaffected individuals having high PRSs for LOAD, and (2) unaffected APOE-ε4 carriers also having high PRSs for LOAD. We used genome-wide association study (GWAS) to contrast "resilient" unaffected individuals at the highest genetic risk for LOAD with LOAD cases at comparable risk. From GWAS results, we constructed polygenic resilience scores to aggregate the addictive contributions of risk-orthogonal common variants that promote resilience to LOAD. Replication of resilience scores was undertaken in eight independent studies. We successfully replicated two polygenic resilience scores that reduce genetic risk penetrance for LOAD. We also showed that polygenic resilience scores positively correlate with polygenic risk scores in unaffected individuals, perhaps aiding in staving off disease. Our findings align with the hypothesis that a combination of risk-independent common variants mediates resilience to LOAD by moderating genetic disease risk.

Indexed as

Alzheimer DiseaseApolipoprotein E4Apolipoproteins EGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMultifactorial InheritanceRisk FactorsApolipoprotein E4Apolipoproteins E

Identifiers

PMID35879306
PMCPMC9314356

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