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Meta-Analysis
. 2017 Jun 9:8:15724.
doi: 10.1038/ncomms15724.

Genome-wide association study identifies multiple risk loci for renal cell carcinoma

Ghislaine Scelo  1 Mark P Purdue  2 Kevin M Brown  2 Mattias Johansson  1 Zhaoming Wang  3 Jeanette E Eckel-Passow  4 Yuanqing Ye  5 Jonathan N Hofmann  2 Jiyeon Choi  2 Matthieu Foll  1 Valerie Gaborieau  1 Mitchell J Machiela  2 Leandro M Colli  2 Peng Li  1 Joshua N Sampson  2 Behnoush Abedi-Ardekani  1 Celine Besse  6 Helene Blanche  7 Anne Boland  6 Laurie Burdette  2 Amelie Chabrier  1 Geoffroy Durand  1 Florence Le Calvez-Kelm  1 Egor Prokhortchouk  8   9 Nivonirina Robinot  1 Konstantin G Skryabin  8   9 Magdalena B Wozniak  1 Meredith Yeager  2 Gordana Basta-Jovanovic  10 Zoran Dzamic  11 Lenka Foretova  12 Ivana Holcatova  13 Vladimir Janout  14 Dana Mates  15 Anush Mukeriya  16 Stefan Rascu  17 David Zaridze  16 Vladimir Bencko  18 Cezary Cybulski  19 Eleonora Fabianova  20 Viorel Jinga  17 Jolanta Lissowska  21 Jan Lubinski  19 Marie Navratilova  12 Peter Rudnai  22 Neonila Szeszenia-Dabrowska  23 Simone Benhamou  24 Geraldine Cancel-Tassin  25   26 Olivier Cussenot  25   26 Laura Baglietto  27 Heiner Boeing  28 Kay-Tee Khaw  29 Elisabete Weiderpass  30   31   32   33 Borje Ljungberg  34 Raviprakash T Sitaram  34 Fiona Bruinsma  35 Susan J Jordan  36   37 Gianluca Severi  27   35   38   39 Ingrid Winship  40   41 Kristian Hveem  42 Lars J Vatten  43 Tony Fletcher  44 Kvetoslava Koppova  20 Susanna C Larsson  45 Alicja Wolk  45 Rosamonde E Banks  46 Peter J Selby  46 Douglas F Easton  29   47 Paul Pharoah  29   47 Gabriella Andreotti  2 Laura E Beane Freeman  2 Stella Koutros  2 Demetrius Albanes  2 Satu Männistö  48 Stephanie Weinstein  2 Peter E Clark  49 Todd L Edwards  50 Loren Lipworth  51 Susan M Gapstur  52 Victoria L Stevens  52 Hallie Carol  53 Matthew L Freedman  53 Mark M Pomerantz  53 Eunyoung Cho  54 Peter Kraft  55 Mark A Preston  56 Kathryn M Wilson  55 J Michael Gaziano  56 Howard D Sesso  55   56 Amanda Black  2 Neal D Freedman  2 Wen-Yi Huang  2 John G Anema  57 Richard J Kahnoski  57 Brian R Lane  57   58 Sabrina L Noyes  59 David Petillo  59 Bin Tean Teh  59 Ulrike Peters  60 Emily White  60 Garnet L Anderson  60 Lisa Johnson  60 Juhua Luo  61 Julie Buring  55   56 I-Min Lee  55   56 Wong-Ho Chow  5 Lee E Moore  2 Christopher Wood  62 Timothy Eisen  63 Marc Henrion  64 James Larkin  65 Poulami Barman  4 Bradley C Leibovich  66 Toni K Choueiri  53 G Mark Lathrop  67 Nathaniel Rothman  2 Jean-Francois Deleuze  6   7 James D McKay  1 Alexander S Parker  68 Xifeng Wu  5 Richard S Houlston  69   70 Paul Brennan  1 Stephen J Chanock  2
Affiliations
Meta-Analysis

Genome-wide association study identifies multiple risk loci for renal cell carcinoma

Ghislaine Scelo et al. Nat Commun. .

Abstract

Previous genome-wide association studies (GWAS) have identified six risk loci for renal cell carcinoma (RCC). We conducted a meta-analysis of two new scans of 5,198 cases and 7,331 controls together with four existing scans, totalling 10,784 cases and 20,406 controls of European ancestry. Twenty-four loci were tested in an additional 3,182 cases and 6,301 controls. We confirm the six known RCC risk loci and identify seven new loci at 1p32.3 (rs4381241, P=3.1 × 10-10), 3p22.1 (rs67311347, P=2.5 × 10-8), 3q26.2 (rs10936602, P=8.8 × 10-9), 8p21.3 (rs2241261, P=5.8 × 10-9), 10q24.33-q25.1 (rs11813268, P=3.9 × 10-8), 11q22.3 (rs74911261, P=2.1 × 10-10) and 14q24.2 (rs4903064, P=2.2 × 10-24). Expression quantitative trait analyses suggest plausible candidate genes at these regions that may contribute to RCC susceptibility.

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Conflict of interest statement

The authors declare no competing financial interests.

Figures

Figure 1
Figure 1. Overview of the study design.
The six genotyping scans contributing to the meta-analysis are detailed on the left, with number of cases and controls and arrays used for the genotyping. The meta-analysis was performed after imputations on 7,437,091 SNPs. Boxes in italic bold represent genotype data newly generated for this study.
Figure 2
Figure 2. Plots of eQTL association between rs4903064 and DPF3 expression.
(a) TCGA-KIRC normal, (b) TCGA-KIRC tumour, (c) IARC normal, and (d) IARC tumour sample data sets. Box boundaries designate the twenty-fifth and seventy-fifth percentiles, black line in the centre of boxes represent the median, whiskers extend to the minimum of either the data range or 1.5 times the interquartile range and statistical outliers are plotted as points.

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