Genetic Variants Linked to Multiple Sclerosis
Author Information
Author(s): Virpi Leppä, Ida Surakka, Pentti J. Tienari, Irina Elovaara, Alastair Compston, Stephen Sawcer, Neil Robertson, Philip L. De Jager, Cristin Aubin, David A. Hafler, Annette Bang Oturai, Helle Bach Søndergaard, Finn Sellebjerg, Per Soelberg Sørensen, Bernhard Hemmer, Sabine Cepok, Juliane Winkelmann, Heinz-Erich Wichmann, Manuel Comabella, Marta F. Bustamante, Xavier Montalban, Tomas Olsson, Ingrid Kockum, Jan Hillert, Lars Alfredsson, An Goris, Bénédicte Dubois, Inger-Lise Mero, Cathrine Smestad, Elisabeth G. Celius, Hanne F. Harbo, Sandra D'Alfonso, Laura Bergamaschi, Maurizio Leone, Giovanni Ristori, Ludwig Kappos, Stephen L. Hauser, Isabelle Cournu-Rebeix, Bertrand Fontaine, Steven Boonen, Chris Polman, Aarno Palotie, Leena Peltonen, Janna Saarela
Primary Institution: Institute for Molecular Medicine Finland FIMM, University of Helsinki
Hypothesis
Can we replicate the associations of specific genetic variants with multiple sclerosis in a larger, independent sample set?
Conclusion
The study confirmed associations of genetic variants in TNFRSF1A and IRF8 with multiple sclerosis, supporting their role in the disease's etiology.
Supporting Evidence
- The study confirmed the association of TNFRSF1A and IRF8 with multiple sclerosis.
- The combined analysis showed high statistical power to detect associations.
- Nominally significant association was observed for CD6.
- The study included a large sample size from diverse European populations.
Takeaway
Scientists looked at genes to see if they are linked to multiple sclerosis, and they found some that are likely involved in the disease.
Methodology
The study used a meta-analysis method to combine data from 11 populations of European origin.
Limitations
Some cohorts had limited power to detect associations individually, and there may be population heterogeneity affecting results.
Participant Demographics
Participants were from 11 populations of European origin, including cases with clinically definite MS and matched controls.
Statistical Information
P-Value
4.19×10−7 for TNFRSF1A, 5.35×10−10 for IRF8, 2.19×10−5 for CD6
Confidence Interval
95% CI 1.07–1.18 for TNFRSF1A, 95% CI 0.80–0.89 for IRF8, 95% CI 1.06–1.17 for CD6
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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