Statistical analysis could yield new drug target for MS

For years, multiple sclerosis researchers have had a database with the disease-relevant genes of 13,000 individuals who either have the autoimmune affliction or are closely related to those who do. But until now, they had been unable to home in with precision on exactly what parts of the genes put those who have them at highest risk for the disorder. A new statistical analysis by a biostatistician at Rockefeller University has identified a single amino acid as the most important risk factor for the disease that afflicts 2.5 million people worldwide.

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