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Malin Larsson

Researcher at Science for Life Laboratory

Publications -  35
Citations -  5006

Malin Larsson is an academic researcher from Science for Life Laboratory. The author has contributed to research in topics: Genome-wide association study & Gene. The author has an hindex of 16, co-authored 33 publications receiving 4302 citations. Previous affiliations of Malin Larsson include Linköping University & Karolinska Institutet.

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Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis

Stephen Sawcer, +265 more
- 10 Aug 2011 - 
TL;DR: In this article, a collaborative GWAS involving 9,772 cases of European descent collected by 23 research groups working in 15 different countries, they have replicated almost all of the previously suggested associations and identified at least a further 29 novel susceptibility loci.
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Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis

Ashley Beecham, +206 more
- 01 Nov 2013 - 
TL;DR: This study enhances the catalog of multiple sclerosis risk variants and illustrates the value of fine mapping in the resolution of GWAS signals.
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Large-Scale Gene-Centric Analysis Identifies Novel Variants for Coronary Artery Disease

Adam S. Butterworth, +355 more
TL;DR: This large-scale gene-centric analysis has identified several novel genes for CAD that relate to diverse biochemical and cellular functions and clarified the literature with regard to many previously suggested genes.
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Network-based multiple sclerosis pathway analysis with GWAS data from 15,000 cases and 30,000 controls

TL;DR: A protein-interaction-network-based pathway analysis (PINBPA) on two large genetic MS studies finds that products of genome-wide significantly associated genes are more likely to interact physically and belong to the same or related pathways.

Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis

Ashley Beecham, +206 more
TL;DR: Using the ImmunoChip custom genotyping array, this article analyzed 14,498 subjects with multiple sclerosis and 24,091 healthy controls for 161,311 autosomal variants and identified 135 potentially associated regions (P < 1.0 × 10(-4)).