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Investigating the genetic relationship between Alzheimer’s disease and cancer using GWAS summary statistics

Authors :
Feng, Yen Chen Anne
Cho, Kelly
Lindstrom, Sara
Kraft, Peter
Cormack, Jean
Blalock, Kendra
Campbell, Peter T.
Casey, Graham
Conti, David V.
Edlund, Christopher K.
Figueiredo, Jane
James Gauderman, W.
Gong, Jian
Green, Roger C.
Gruber, Stephen B.
Harju, John F.
Harrison, Tabitha A.
Jacobs, Eric J
Jenkins, Mark A.
Jiao, Shuo
Li, Li
Lin, Yi
Manion, Frank J.
Moreno, Victor
Mukherjee, Bhramar
Peters, Ulrike
Raskin, Leon
Schumacher, Fredrick R.
Seminara, Daniela
Severi, Gianluca
Stenzel, Stephanie L.
Thomas, Duncan C.
Hopper, John L.
Southey, Melissa C.
Makalic, Enes
Schmidt, Daniel F.
Fletcher, Olivia
Peto, Julian
Gibson, Lorna
Dos-Santos-Silva, Isabel
Hunter, David J.
Lindström, Sara
Ahsan, Habib
Whittemore, Alice S.
Waisfisz, Quinten
Meijers-Heijboer, Hanne
Adank, Muriel A.
van der Luijt, Rob B.
Uitterlinden, Andre G
IGAP Consortium, Colorectal Transdisciplinary Study (CORECT)
Discovery, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE)
CCA - Cancer biology and immunology
Human genetics
Amsterdam Neuroscience - Complex Trait Genetics
Amsterdam Reproduction & Development (AR&D)
Source :
Human Genetics, 136(10), 1341-1351. Springer Verlag, Feng, Y C A, Cho, K, Lindstrom, S, Kraft, P, Cormack, J, IGAP Consortium, Colorectal Transdisciplinary Study (CORECT), Discovery, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE), Elucidating Loci Involved in Prostate Cancer Susceptibility (ELLIPSE) & Transdisciplinary Research in Cancer of the Lung (TRICL) 2017, ' Investigating the genetic relationship between Alzheimer’s disease and cancer using GWAS summary statistics ', Human Genetics, vol. 136, no. 10, pp. 1341-1351 . https://doi.org/10.1007/s00439-017-1831-6, Human Genetics, 136(10), 1341. Springer Verlag
Publication Year :
2017

Abstract

Growing evidence from both epidemiology and basic science suggest an inverse association between Alzheimer’s disease (AD) and cancer. We examined the genetic relationship between AD and various cancer types using GWAS summary statistics from the IGAP and GAME-ON consortia. Sample size ranged from 9931 to 54,162; SNPs were imputed to the 1000 Genomes European panel. Our results based on cross-trait LD Score regression showed a significant positive genetic correlation between AD and five cancers combined (colon, breast, prostate, ovarian, lung; r g = 0.17, P = 0.04), and specifically with breast cancer (ER-negative and overall; r g = 0.21 and 0.18, P = 0.035 and 0.034) and lung cancer (adenocarcinoma, squamous cell carcinoma and overall; r g = 0.31, 0.38 and 0.30, P = 0.029, 0.016, and 0.006). Estimating the genetic correlation in specific functional categories revealed mixed positive and negative signals, notably stronger at annotations associated with increased enhancer activity. This suggests a role of gene expression regulators in the shared genetic etiology between AD and cancer, and that some shared variants modulate disease risk concordantly while others have effects in opposite directions. Due to power issues, we did not detect cross-phenotype associations at individual SNPs. This genetic overlap is not likely driven by a handful of major loci. Our study is the first to examine the co-heritability of AD and cancer leveraging large-scale GWAS results. The functional categories highlighted in this study need further investigation to illustrate the details of the genetic sharing and to bridge between different levels of associations.

Details

ISSN :
14321203 and 03406717
Volume :
136
Issue :
10
Database :
OpenAIRE
Journal :
Human Genetics
Accession number :
edsair.doi.dedup.....6a12c995a1aff9d0f3bb6bae951e3c45