Evidence map›Paper›PMID 35253861›Full record

ArticleBrain : a journal of neurology2023

Polygenic risk score association with multiple sclerosis susceptibility and phenotype in Europeans.

Hengameh Shams, Xiaorong Shao, Adam Santaniello, Gina Kirkish, Adil Harroud, Qin Ma, Noriko Isobe, University of California San Francisco MS-EPIC Team, Catherine A Schaefer, Jacob L McCauley and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
7.5field-weighted citation impact, top 2% 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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Interaction between smoking andMultiple sclerosis (Houndmills, Basingstoke, England) · 2026
    Article
  4. Article
  5. Polygenic risk scores in neurological disorders: restless legs syndrome as a translational model.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Associating a Polygenic Risk Score for Multiple Sclerosis with Brain MRI Metrics and Cognitive Performance in Healthy UK Biobank Participants.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026
    Article
  13. Article
  14. Article
  15. Article
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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

18 authors at 6 institutions in 2 countries.

Hengameh ShamsWeill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0002-1805-1733
Xiaorong ShaoDivision of Epidemiology and Biostatistics, School of Public Health, University of California Berkeley, Berkeley, CA 94720, USA.
Adam SantanielloWeill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA 94158, USA.
Gina KirkishWeill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA 94158, USA.
Adil HarroudWeill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA 94158, USA.
Qin MaWeill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA 94158, USA.
Noriko IsobeDepartment of Neurology, Graduate School of medical Sciences, Kyushu University, Fukuoka, 812-8582, Japan.
University of California San Francisco MS-EPIC Team
Catherine A SchaeferKaiser Permanente Division of Research, Oakland, CA 94612, USA.
Jacob L McCauleyJohn P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, USA.
Bruce A C CreeWeill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA 94158, USA.
Alessandro DidonnaWeill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0001-7510-9658
Sergio E BaranziniWeill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0003-0067-194X
Nikolaos A PatsopoulosSystems Biology and Computer Science Program, Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women's Hospital, Boston, 02115 MA, USA.
Stephen L HauserWeill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0002-4932-4001
Lisa F BarcellosDivision of Epidemiology and Biostatistics, School of Public Health, University of California Berkeley, Berkeley, CA 94720, USA.
Roland G HenryWeill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA 94158, USA.
Jorge R OksenbergWeill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA 94158, USA.
University of California, San Francisco · USUniversity of California, Berkeley · USBroad Institute · USKaiser Permanente · USKyushu University · JPUniversity of Miami · US

Funding

NRSA Training CoreTL1TR001871 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KANAYA, ALKA M., SOMSOUK, MA · 2016 to 2025
$10.1M
The Role of B cells in the Origin and Progression of Multiple SclerosisR35NS111644 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEPHEN L HAUSER · 2019 to 2026
$9.1M
The Identification of Risk Factors for the Complex MS PhenotypeR01AI076544 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI BARCELLOS, LISA F · 2008 to 2012
$3.6M
Novel Strategies to Identify GxE Contributions to MS PathogenesisR01ES017080 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI BARCELLOS, LISA F · 2011 to 2015
$3.0M
Genetic and non-genetic risk factors in MSR01NS049510 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI BARCELLOS, LISA F · 2005 to 2009
$2.7M
The genetic basis of progression in multiple sclerosisR01NS099240 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BARANZINI, SERGIO E, SAWCER, STEPHEN JAMES · 2017 to 2021
$1.9M
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NCATS NIH HHS TL1 TR001871NIAID NIH HHS R01 AI076544NIEHS NIH HHS R01 ES017080NIH HHS R35NS111644NINDS NIH HHS R01 NS049510NINDS NIH HHS R01 NS099240NINDS NIH HHS R35 NS111644
6 · The paper itself

Abstract

Polygenic inheritance plays a pivotal role in driving multiple sclerosis susceptibility, an inflammatory demyelinating disease of the CNS. We developed polygenic risk scores (PRS) of multiple sclerosis and assessed associations with both disease status and severity in cohorts of European descent. The largest genome-wide association dataset for multiple sclerosis to date (n = 41 505) was leveraged to generate PRS scores, serving as an informative susceptibility marker, tested in two independent datasets, UK Biobank [area under the curve (AUC) = 0.73, 95% confidence interval (CI): 0.72-0.74, P = 6.41 × 10-146] and Kaiser Permanente in Northern California (KPNC, AUC = 0.8, 95% CI: 0.76-0.82, P = 1.5 × 10-53). Individuals within the top 10% of PRS were at higher than 5-fold increased risk in UK Biobank (95% CI: 4.7-6, P = 2.8 × 10-45) and 15-fold higher risk in KPNC (95% CI: 10.4-24, P = 3.7 × 10-11), relative to the median decile. The cumulative absolute risk of developing multiple sclerosis from age 20 onwards was significantly higher in genetically predisposed individuals according to PRS. Furthermore, inclusion of PRS in clinical risk models increased the risk discrimination by 13% to 26% over models based only on conventional risk factors in UK Biobank and KPNC, respectively. Stratifying disease risk by gene sets representative of curated cellular signalling cascades, nominated promising genetic candidate programmes for functional characterization. These pathways include inflammatory signalling mediation, response to viral infection, oxidative damage, RNA polymerase transcription, and epigenetic regulation of gene expression to be among significant contributors to multiple sclerosis susceptibility. This study also indicates that PRS is a useful measure for estimating susceptibility within related individuals in multicase families. We show a significant association of genetic predisposition with thalamic atrophy within 10 years of disease progression in the UCSF-EPIC cohort (P < 0.001), consistent with a partial overlap between the genetics of susceptibility and end-organ tissue injury. Mendelian randomization analysis suggested an effect of multiple sclerosis susceptibility on thalamic volume, which was further indicated to be through horizontal pleiotropy rather than a causal effect. In summary, this study indicates important, replicable associations of PRS with enhanced risk assessment and radiographic outcomes of tissue injury, potentially informing targeted screening and prevention strategies.

Indexed as

Genome-Wide Association StudyMultiple SclerosisEpigenesis, GeneticEuropean PeopleGenetic Predisposition to DiseaseHumansMultifactorial InheritancePhenotypeRisk Factorsmultiple sclerosispathway-specific risk scorephenotype associationpolygenic risk score

Identifiers

PMID35253861
PMCPMC10169285
OpenAlexW4214870539

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.