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

Author:

Shams Hengameh12ORCID,Shao Xiaorong2,Santaniello Adam1,Kirkish Gina1,Harroud Adil1,Ma Qin1,Isobe Noriko3,Alexander Jessa,Bove Riley,Baranzini Sergio,Cree Bruce A C,Caverzasi Eduardo,Cuneo Richard,Caillier Stacy J,Cooper Tiffany,Green Ari J,Guo Chu-Yueh,Gelfand Jeffrey M,Gomez-O’shea Refujia,Gupta Sasha,Hollenbach Jill,Harms Meagan,Henry Roland G,Hauser Stephen L,Mendoza Myra,Oksenberg Jorge R,Papinutto Nico,Pleasure Sam,Powers Kyra,Renschen Adam,Santaniello Adam,Sabatino Joseph J,Stern William A,Wilson Michael R,Zamvil Scott S,Schaefer Catherine A4,McCauley Jacob L56,Cree Bruce A C1,Didonna Alessandro17ORCID,Baranzini Sergio E1ORCID,Patsopoulos Nikolaos A891011,Hauser Stephen L1ORCID,Barcellos Lisa F2,Henry Roland G1,Oksenberg Jorge R1,

Affiliation:

1. Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco , San Francisco, CA 94158 , USA

2. Division of Epidemiology and Biostatistics, School of Public Health, University of California Berkeley , Berkeley, CA 94720 , USA

3. Department of Neurology, Graduate School of medical Sciences, Kyushu University , Fukuoka, 812-8582 , Japan

4. Kaiser Permanente Division of Research , Oakland, CA 94612 , USA

5. John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami , Miami, FL , USA

6. Dr. John T. Macdonald Department of Human Genetics, Miller School of Medicine, University of Miami , Miami, FL , USA

7. Department of Anatomy and Cell Biology, East Carolina University , Greenville, NC 27834 , USA

8. Systems Biology and Computer Science Program, Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women’s Hospital , Boston, 02115 MA , USA

9. Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School , Boston, MA , USA

10. Harvard Medical School , Boston, MA 02115 , USA

11. Broad Institute of Harvard and Massachusetts Institute of Technology , Cambridge, MA , USA

Abstract

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.

Funder

National Multiple Sclerosis Society

National Institutes of Health

Valhalla Foundation

National Center for Advancing Translational Sciences

Publisher

Oxford University Press (OUP)

Subject

Neurology (clinical)

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