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Genetic meta-analysis identifies 9 novel loci and functional pathways for Alzheimer’s disease risk

Authors :
Stephan Ripke
Dag Aarsland
Sverre Bergh
Eystein Stordal
Ida K. Karlsson
Christiaan de Leeuw
Anne Brækhus
Petroula Proitsi
Jon Snaedal
Sven Stringer
Dylan M. Williams
Rahul S. Desikan
Sigrid Botne Sando
Palmi V. Jonsson
Francesco Bettella
Wiesje M. van der Flier
K Arvid Rongve
Fred Andersen
Nicola Voyle
Julien Bryois
Lea K. Davis
Logan Dumitrescu
Kari Stefansson
Nancy L. Pedersen
Tormod Fladby
Sigurbjorn Bjornsson
Ingun Ulstein
Geir Selbæk
Steven J. Kiddle
Sara Hägg
Danielle Posthuma
Nathan Skenne
Timothy Homan
Lavinia Athanasiu
Aree Witoelar
Kyoko Watanabe
Patrick F. Sullivan
Yunpeng Wang
Stacy Steinberg
Ina S. Almdahl
Hreinn Stefansson
Jeanne E. Savage
Julia Sealock
Linda R. White
Iris E. Jansen
Geir Bråthen
Ole A. Andreassen
Ingvild Saltvedt
Jens Hjerling-Leffler
Srdjan Djurovic
Richard Dobson
Publication Year :
2018
Publisher :
Cold Spring Harbor Laboratory, 2018.

Abstract

Late onset Alzheimer’s disease (AD) is the most common form of dementia with more than 35 million people affected worldwide, and no curative treatment available. AD is highly heritable and recent genome-wide meta-analyses have identified over 20 genomic loci associated with AD, yet only explaining a small proportion of the genetic variance indicating that undiscovered loci exist. Here, we performed the largest genome-wide association study of clinically diagnosed AD and AD-by-proxy (71,880 AD cases, 383,378 controls). AD-by-proxy status is based on parental AD diagnosis, and showed strong genetic correlation with AD (rg=0.81). Genetic meta analysis identified 29 risk loci, of which 9 are novel, and implicating 215 potential causative genes. Independent replication further supports these novel loci in AD. Associated genes are strongly expressed in immune-related tissues and cell types (spleen, liver and microglia). Furthermore, gene-set analyses indicate the genetic contribution of biological mechanisms involved in lipid-related processes and degradation of amyloid precursor proteins. We show strong genetic correlations with multiple health-related outcomes, and Mendelian randomisation results suggest a protective effect of cognitive ability on AD risk. These results are a step forward in identifying more of the genetic factors that contribute to AD risk and add novel insights into the neurobiology of AD to guide new drug development.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....053f58815c810f9e9beceba08d60b7d3
Full Text :
https://doi.org/10.1101/258533