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

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Investigating the genetic relationship between Alzheimer's disease and cancer using GWAS summary statistics. / Feng, Yen-Chen Anne; Cho, Kelly; Lindstrom, Sara; Kraft, Peter; Cormack, Jean; Liang, Liming; Driver, Jane A; IGAP Consortium, Colorectal Transdisciplinary Study (CORECT).

In: HUM GENET, Vol. 136, No. 10, 10.2017, p. 1341-1351.

Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

Harvard

Feng, Y-CA, Cho, K, Lindstrom, S, Kraft, P, Cormack, J, Liang, L, Driver, JA & IGAP Consortium, Colorectal Transdisciplinary Study (CORECT) 2017, 'Investigating the genetic relationship between Alzheimer's disease and cancer using GWAS summary statistics', HUM GENET, vol. 136, no. 10, pp. 1341-1351. https://doi.org/10.1007/s00439-017-1831-6

APA

Feng, Y-C. A., Cho, K., Lindstrom, S., Kraft, P., Cormack, J., Liang, L., Driver, J. A., & IGAP Consortium, Colorectal Transdisciplinary Study (CORECT) (2017). Investigating the genetic relationship between Alzheimer's disease and cancer using GWAS summary statistics. HUM GENET, 136(10), 1341-1351. https://doi.org/10.1007/s00439-017-1831-6

Vancouver

Bibtex

@article{0382a542a02d4679af9f8c23c7723866,
title = "Investigating the genetic relationship between Alzheimer's disease and cancer using GWAS summary statistics",
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.",
keywords = "Alzheimer Disease, Female, Genome-Wide Association Study, Humans, Male, Neoplasms, Polymorphism, Single Nucleotide, Journal Article",
author = "Feng, {Yen-Chen Anne} and Kelly Cho and Sara Lindstrom and Peter Kraft and Jean Cormack and Liming Liang and Driver, {Jane A} and {IGAP Consortium, Colorectal Transdisciplinary Study (CORECT)}",
year = "2017",
month = oct,
doi = "10.1007/s00439-017-1831-6",
language = "English",
volume = "136",
pages = "1341--1351",
journal = "HUM GENET",
issn = "0340-6717",
publisher = "Springer",
number = "10",

}

RIS

TY - JOUR

T1 - Investigating the genetic relationship between Alzheimer's disease and cancer using GWAS summary statistics

AU - Feng, Yen-Chen Anne

AU - Cho, Kelly

AU - Lindstrom, Sara

AU - Kraft, Peter

AU - Cormack, Jean

AU - Liang, Liming

AU - Driver, Jane A

AU - IGAP Consortium, Colorectal Transdisciplinary Study (CORECT)

PY - 2017/10

Y1 - 2017/10

N2 - 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.

AB - 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.

KW - Alzheimer Disease

KW - Female

KW - Genome-Wide Association Study

KW - Humans

KW - Male

KW - Neoplasms

KW - Polymorphism, Single Nucleotide

KW - Journal Article

U2 - 10.1007/s00439-017-1831-6

DO - 10.1007/s00439-017-1831-6

M3 - SCORING: Journal article

C2 - 28780673

VL - 136

SP - 1341

EP - 1351

JO - HUM GENET

JF - HUM GENET

SN - 0340-6717

IS - 10

ER -