Human Genetics

, Volume 136, Issue 10, pp 1341–1351 | Cite as

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

  • Yen-Chen Anne Feng
  • Kelly Cho
  • Sara Lindstrom
  • Peter Kraft
  • Jean Cormack
  • 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)
  • Liming Liang
  • Jane A. Driver
Original Investigation
  • 114 Downloads

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; rg = 0.17, P = 0.04), and specifically with breast cancer (ER-negative and overall; rg = 0.21 and 0.18, P = 0.035 and 0.034) and lung cancer (adenocarcinoma, squamous cell carcinoma and overall; rg = 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.

Supplementary material

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Supplementary material 1 (PDF 217 kb)

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Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  • Yen-Chen Anne Feng
    • 1
  • Kelly Cho
    • 4
    • 5
  • Sara Lindstrom
    • 1
    • 3
  • Peter Kraft
    • 1
    • 2
  • Jean Cormack
    • 4
  • 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)
  • Liming Liang
    • 1
    • 2
  • Jane A. Driver
    • 4
    • 5
  1. 1.Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonUSA
  2. 2.Department of BiostatisticsHarvard T.H. Chan School of Public HealthBostonUSA
  3. 3.Department of EpidemiologyUniversity of WashingtonSeattleUSA
  4. 4.Geriatric Research Education and Clinical Center and Massachusetts Veterans Epidemiology Research and Information CenterBoston VA Medical CenterBostonUSA
  5. 5.Division of Aging, Brigham and Women’s HospitalHarvard Medical SchoolBostonUSA

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