Largest GWAS (N=1,126,563) of Alzheimer’s Disease Implicates Microglia and Immune Cells
Author:
Wightman Douglas PORCID, Jansen Iris E, Savage Jeanne E., Shadrin Alexey A, Bahrami Shahram, Rongve Arvid, Børte Sigrid, Winsvold Bendik S, Drange Ole Kristian, Martinsen Amy E, Skogholt Anne Heidi, Willer Cristen, Bråthen Geir, Bosnes Ingunn, Nielsen Jonas Bille, Fritsche Lars, Thomas Laurent F., Pedersen Linda M, Gabrielsen Maiken E, Johnsen Marianne Bakke, Meisingset Tore Wergeland, Zhou Wei, Proitsi Petra, Hodges Angela, Dobson Richard, Velayudhan Latha, Sealock Julia M, Davis Lea K, Pedersen Nancy L., Reynolds Chandra A., Karlsson Ida K., Magnusson Sigurdur, Stefansson Hreinn, Thordardottir Steinunn, Jonsson Palmi V., Snaedal Jon, Zettergren Anna, Skoog Ingmar, Kern Silke, Waern Margda, Zetterberg Henrik, Blennow Kaj, Stordal Eystein, Hveem Kristian, Zwart John-Anker, Athanasiu Lavinia, Saltvedt Ingvild, Sando Sigrid B, Ulstein Ingun, Djurovic Srdjan, Fladby Tormod, Aarsland Dag, Selbæk Geir, Ripke Stephan, Stefansson Kari, Andreassen Ole A., Posthuma Danielle,
Abstract
SummaryLate-onset Alzheimer’s disease is a prevalent age-related polygenic disease that accounts for 50-70% of dementia cases1. Late-onset Alzheimer’s disease is caused by a combination of many genetic variants with small effect sizes and environmental influences. Currently, only a fraction of the genetic variants underlying Alzheimer’s disease have been identified2,3. Here we show that increased sample sizes allowed for identification of seven novel genetic loci contributing to Alzheimer’s disease. We highlighted eight potentially causal genes where gene expression changes are likely to explain the association. Human microglia were found as the only cell type where the gene expression pattern was significantly associated with the Alzheimer’s disease association signal. Gene set analysis identified four independent pathways for associated variants to influence disease pathology. Our results support the importance of microglia, amyloid and tau aggregation, and immune response in Alzheimer’s disease. We anticipate that through collaboration the results from this study can be included in larger meta-analyses of Alzheimer’s disease to identify further genetic variants which contribute to Alzheimer’s pathology. Furthermore, the increased understanding of the mechanisms that mediate the effect of genetic variants on disease progression will help identify potential pathways and gene-sets as targets for drug development.
Publisher
Cold Spring Harbor Laboratory
Cited by
24 articles.
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