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. 2019 Feb 1;79(3):505-517.
doi: 10.1158/0008-5472.CAN-18-2726. Epub 2018 Dec 17.

Genetic Data from Nearly 63,000 Women of European Descent Predicts DNA Methylation Biomarkers and Epithelial Ovarian Cancer Risk

Yaohua Yang  1 Lang Wu  1 Xiang Shu  1 Yingchang Lu  1 Xiao-Ou Shu  1 Qiuyin Cai  1 Alicia Beeghly-Fadiel  1 Bingshan Li  2 Fei Ye  3 Andrew Berchuck  4 Hoda Anton-Culver  5 Susana Banerjee  6 Javier Benitez  7   8 Line Bjørge  9   10 James D Brenton  11 Ralf Butzow  12 Ian G Campbell  13   14 Jenny Chang-Claude  15   16 Kexin Chen  17 Linda S Cook  18   19 Daniel W Cramer  20   21 Anna deFazio  22   23 Joe Dennis  24 Jennifer A Doherty  25 Thilo Dörk  26 Diana M Eccles  27 Digna Velez Edwards  28 Peter A Fasching  29   30 Renée T Fortner  15 Simon A Gayther  31 Graham G Giles  32   33   34 Rosalind M Glasspool  35 Ellen L Goode  36 Marc T Goodman  37 Jacek Gronwald  38 Holly R Harris  39   40 Florian Heitz  41   42 Michelle A Hildebrandt  43 Estrid Høgdall  44   45 Claus K Høgdall  46 David G Huntsman  47   48   49   50 Siddhartha P Kar  24 Beth Y Karlan  51 Linda E Kelemen  52 Lambertus A Kiemeney  53 Susanne K Kjaer  44   54 Anita Koushik  55 Diether Lambrechts  56 Nhu D Le  57 Douglas A Levine  58   59 Leon F Massuger  60 Keitaro Matsuo  61   62 Taymaa May  63 Iain A McNeish  64   65 Usha Menon  66 Francesmary Modugno  67   68 Alvaro N Monteiro  69 Patricia G Moorman  70 Kirsten B Moysich  71 Roberta B Ness  72 Heli Nevanlinna  73 Håkan Olsson  74 N Charlotte Onland-Moret  75 Sue K Park  76   77   78 James Paul  35 Celeste L Pearce  79   80 Tanja Pejovic  81   82 Catherine M Phelan  69 Malcolm C Pike  80   83 Susan J Ramus  84   85 Elio Riboli  86 Cristina Rodriguez-Antona  7   8 Isabelle Romieu  87 Dale P Sandler  88 Joellen M Schildkraut  89 Veronica W Setiawan  90 Kang Shan  91 Nadeem Siddiqui  92 Weiva Sieh  93   94 Meir J Stampfer  95 Rebecca Sutphen  96 Anthony J Swerdlow  97   98 Lukasz M Szafron  99 Soo Hwang Teo  100   101 Shelley S Tworoger  69   102 Jonathan P Tyrer  103 Penelope M Webb  104 Nicolas Wentzensen  105 Emily White  106   40 Walter C Willett  20   95   107 Alicja Wolk  108   109 Yin Ling Woo  110 Anna H Wu  90 Li Yan  111 Drakoulis Yannoukakos  112 Georgia Chenevix-Trench  113 Thomas A Sellers  69 Paul D P Pharoah  24   103 Wei Zheng  1 Jirong Long  114
Affiliations

Genetic Data from Nearly 63,000 Women of European Descent Predicts DNA Methylation Biomarkers and Epithelial Ovarian Cancer Risk

Yaohua Yang et al. Cancer Res. .

Abstract

DNA methylation is instrumental for gene regulation. Global changes in the epigenetic landscape have been recognized as a hallmark of cancer. However, the role of DNA methylation in epithelial ovarian cancer (EOC) remains unclear. In this study, high-density genetic and DNA methylation data in white blood cells from the Framingham Heart Study (N = 1,595) were used to build genetic models to predict DNA methylation levels. These prediction models were then applied to the summary statistics of a genome-wide association study (GWAS) of ovarian cancer including 22,406 EOC cases and 40,941 controls to investigate genetically predicted DNA methylation levels in association with EOC risk. Among 62,938 CpG sites investigated, genetically predicted methylation levels at 89 CpG were significantly associated with EOC risk at a Bonferroni-corrected threshold of P < 7.94 × 10-7. Of them, 87 were located at GWAS-identified EOC susceptibility regions and two resided in a genomic region not previously reported to be associated with EOC risk. Integrative analyses of genetic, methylation, and gene expression data identified consistent directions of associations across 12 CpG, five genes, and EOC risk, suggesting that methylation at these 12 CpG may influence EOC risk by regulating expression of these five genes, namely MAPT, HOXB3, ABHD8, ARHGAP27, and SKAP1. We identified novel DNA methylation markers associated with EOC risk and propose that methylation at multiple CpG may affect EOC risk via regulation of gene expression. SIGNIFICANCE: Identification of novel DNA methylation markers associated with EOC risk suggests that methylation at multiple CpG may affect EOC risk through regulation of gene expression.

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Conflict of interest statement

Conflict of interest

The authors declare no potential conflicts of interest.

Figures

Figure 1.
Figure 1.
Study design flow chart

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