Exome sequencing identifies novel AD-associated genes

Holstege, Henne, Grozeva, Detelina ORCID: https://orcid.org/0000-0003-3239-8415, Sims, Rebecca ORCID: https://orcid.org/0000-0002-3885-1199, Luckcuck, Lauren, Denning, Nicola, Marshall, Rachel, Saad, Salha, Williams, Julie ORCID: https://orcid.org/0000-0002-4069-0259, Meggy, Alun, Lambert, Jean-Charles, Hulsman, M., Charbonnier, C., Grenier-Boley, B., Quenez, O., van Rooij, J., Ahmad, S., Amin, N., Norsworthy, P., Dols, O., Hummerich, H., Kawalia, A., Amouyel, P., Beecham, G., Berr, C., Bis, J., Boland, A., Bossu, P., Bouwman, F., Campion, D., Daniele, A., Dartigues, J. F., Debette, S., Deleuze, J. F., Destefano, A., Farrer, L., Fox, N., Glimberti, D., Genin, E., Haines, J., Holmes, C., Arfan Ikram, M., Ikram, M., Jansen, I., Kraaij, R., Lathrop, M., Lemstra, A., Lleo, A., Luckcuck, L., Marschall, R., Martin, E., Masullo, C., Mayeux, R., Mecocci, P., Mol, M., Morgan, K., Nacmia, B., Naj, A., Pastor, P., Pericak-Vance, M., Redon, R, Richard, A. C., Riedel-Heller, S., Rivadeneira, F., Rousseau, S., Ryan, N., Sanchez-Juan, P., Schellenberg, G., Scheltens, P., Scott, J., Seripa, D., Spalletta, G., Tijms, B., Uitterlinden, A., van der Lee, S., Wagner, M., Wallon, D., Wang, L. S., Zarea, A., Reinders, M., Clarimon, J., van Swieten, J., Hardy, J., Ramirez, A., Mead, S. H., van der Flier, W., van Duijn, C., Nicolas, G., Bellenguez, C. and Lambert, J. C. 2020. Exome sequencing identifies novel AD-associated genes. [Online]. medRxiv. Available at: http://dx.doi.org/10.1101/2020.07.22.20159251

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Abstract

The genetic component of Alzheimer’s disease (AD) has been mainly assessed using Genome Wide Association Studies (GWAS), which do not capture the risk contributed by rare variants. Here, we compared the gene-based burden of rare damaging variants in exome sequencing data from 32,558 individuals —16,036 AD cases and 16,522 controls— in a two-stage analysis. Next to known genes TREM2, SORL1 and ABCA7, we observed a significant association of rare, predicted damaging variants in ATP8B4 and ABCA1 with AD risk, and a suggestive signal in ADAM10. Next to these genes, the rare variant burden in RIN3, CLU, ZCWPW1 and ACE highlighted these genes as potential driver genes in AD-GWAS loci. Rare damaging variants in these genes, and in particular loss-of-function variants, have a large effect on AD-risk, and they are enriched in early onset AD cases. The newly identified AD-associated genes provide additional evidence for a major role for APP-processing, Aβ-aggregation, lipid metabolism and microglial function in AD.

Item Type:	Website Content
Date Type:	Published Online
Status:	Submitted
Schools:	Advanced Research Computing @ Cardiff (ARCCA) MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG) Medicine
Publisher:	medRxiv
Date of Acceptance:	22 July 2020
Last Modified:	25 Jul 2024 16:07
URI:	https://orca.cardiff.ac.uk/id/eprint/136020

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