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Meta-Analysis
. 2015 Apr;47(4):373-80.
doi: 10.1038/ng.3242. Epub 2015 Mar 9.

Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer

Kyriaki Michailidou  1 Jonathan Beesley  2 Sara Lindstrom  3 Sander Canisius  4 Joe Dennis  1 Michael J Lush  1 Mel J Maranian  5 Manjeet K Bolla  1 Qin Wang  1 Mitul Shah  5 Barbara J Perkins  5 Kamila Czene  6 Mikael Eriksson  6 Hatef Darabi  6 Judith S Brand  6 Stig E Bojesen  7 Børge G Nordestgaard  7 Henrik Flyger  8 Sune F Nielsen  9 Nazneen Rahman  10 Clare Turnbull  10 BOCSOlivia Fletcher  11 Julian Peto  12 Lorna Gibson  12 Isabel dos-Santos-Silva  12 Jenny Chang-Claude  13 Dieter Flesch-Janys  14 Anja Rudolph  13 Ursula Eilber  13 Sabine Behrens  13 Heli Nevanlinna  15 Taru A Muranen  15 Kristiina Aittomäki  16 Carl Blomqvist  17 Sofia Khan  15 Kirsimari Aaltonen  15 Habibul Ahsan  18 Muhammad G Kibriya  19 Alice S Whittemore  20 Esther M John  21 Kathleen E Malone  22 Marilie D Gammon  23 Regina M Santella  24 Giske Ursin  25 Enes Makalic  26 Daniel F Schmidt  26 Graham Casey  27 David J Hunter  3 Susan M Gapstur  28 Mia M Gaudet  28 W Ryan Diver  28 Christopher A Haiman  27 Fredrick Schumacher  27 Brian E Henderson  27 Loic Le Marchand  29 Christine D Berg  30 Stephen J Chanock  31 Jonine Figueroa  31 Robert N Hoover  31 Diether Lambrechts  32 Patrick Neven  33 Hans Wildiers  33 Erik van Limbergen  33 Marjanka K Schmidt  34 Annegien Broeks  34 Senno Verhoef  34 Sten Cornelissen  34 Fergus J Couch  35 Janet E Olson  36 Emily Hallberg  36 Celine Vachon  36 Quinten Waisfisz  37 Hanne Meijers-Heijboer  37 Muriel A Adank  37 Rob B van der Luijt  38 Jingmei Li  6 Jianjun Liu  39 Keith Humphreys  6 Daehee Kang  40 Ji-Yeob Choi  41 Sue K Park  40 Keun-Young Yoo  42 Keitaro Matsuo  43 Hidemi Ito  44 Hiroji Iwata  45 Kazuo Tajima  46 Pascal Guénel  47 Thérèse Truong  47 Claire Mulot  48 Marie Sanchez  47 Barbara Burwinkel  49 Frederik Marme  50 Harald Surowy  49 Christof Sohn  51 Anna H Wu  27 Chiu-chen Tseng  27 David Van Den Berg  27 Daniel O Stram  27 Anna González-Neira  52 Javier Benitez  53 M Pilar Zamora  54 Jose Ignacio Arias Perez  55 Xiao-Ou Shu  56 Wei Lu  57 Yu-Tang Gao  58 Hui Cai  56 Angela Cox  59 Simon S Cross  60 Malcolm W R Reed  59 Irene L Andrulis  61 Julia A Knight  62 Gord Glendon  63 Anna Marie Mulligan  64 Elinor J Sawyer  65 Ian Tomlinson  66 Michael J Kerin  67 Nicola Miller  67 kConFab InvestigatorsAOCS GroupAnnika Lindblom  68 Sara Margolin  69 Soo Hwang Teo  70 Cheng Har Yip  71 Nur Aishah Mohd Taib  71 Gie-Hooi Tan  71 Maartje J Hooning  72 Antoinette Hollestelle  72 John W M Martens  72 J Margriet Collée  73 William Blot  74 Lisa B Signorello  75 Qiuyin Cai  56 John L Hopper  76 Melissa C Southey  77 Helen Tsimiklis  77 Carmel Apicella  76 Chen-Yang Shen  78 Chia-Ni Hsiung  79 Pei-Ei Wu  80 Ming-Feng Hou  81 Vessela N Kristensen  82 Silje Nord  83 Grethe I Grenaker Alnaes  83 NBCSGraham G Giles  84 Roger L Milne  84 Catriona McLean  85 Federico Canzian  86 Dimitrios Trichopoulos  87 Petra Peeters  88 Eiliv Lund  89 Malin Sund  90 Kay-Tee Khaw  91 Marc J Gunter  92 Domenico Palli  93 Lotte Maxild Mortensen  94 Laure Dossus  95 Jose-Maria Huerta  96 Alfons Meindl  97 Rita K Schmutzler  98 Christian Sutter  99 Rongxi Yang  49 Kenneth Muir  100 Artitaya Lophatananon  101 Sarah Stewart-Brown  101 Pornthep Siriwanarangsan  102 Mikael Hartman  103 Hui Miao  104 Kee Seng Chia  104 Ching Wan Chan  105 Peter A Fasching  106 Alexander Hein  107 Matthias W Beckmann  107 Lothar Haeberle  107 Hermann Brenner  108 Aida Karina Dieffenbach  108 Volker Arndt  109 Christa Stegmaier  110 Alan Ashworth  11 Nick Orr  11 Minouk J Schoemaker  10 Anthony J Swerdlow  111 Louise Brinton  31 Montserrat Garcia-Closas  112 Wei Zheng  56 Sandra L Halverson  56 Martha Shrubsole  56 Jirong Long  56 Mark S Goldberg  113 France Labrèche  114 Martine Dumont  115 Robert Winqvist  116 Katri Pylkäs  116 Arja Jukkola-Vuorinen  117 Mervi Grip  118 Hiltrud Brauch  119 Ute Hamann  120 Thomas Brüning  121 GENICA NetworkPaolo Radice  122 Paolo Peterlongo  123 Siranoush Manoukian  124 Loris Bernard  125 Natalia V Bogdanova  126 Thilo Dörk  127 Arto Mannermaa  128 Vesa Kataja  129 Veli-Matti Kosma  128 Jaana M Hartikainen  128 Peter Devilee  130 Robert A E M Tollenaar  131 Caroline Seynaeve  132 Christi J Van Asperen  133 Anna Jakubowska  134 Jan Lubinski  134 Katarzyna Jaworska  134 Tomasz Huzarski  134 Suleeporn Sangrajrang  135 Valerie Gaborieau  136 Paul Brennan  136 James McKay  136 Susan Slager  36 Amanda E Toland  137 Christine B Ambrosone  138 Drakoulis Yannoukakos  139 Maria Kabisch  120 Diana Torres  140 Susan L Neuhausen  141 Hoda Anton-Culver  142 Craig Luccarini  5 Caroline Baynes  5 Shahana Ahmed  5 Catherine S Healey  5 Daniel C Tessier  143 Daniel Vincent  143 Francois Bacot  143 Guillermo Pita  52 M Rosario Alonso  52 Nuria Álvarez  52 Daniel Herrero  52 Jacques Simard  115 Paul P D P Pharoah  144 Peter Kraft  3 Alison M Dunning  5 Georgia Chenevix-Trench  2 Per Hall  6 Douglas F Easton  144
Collaborators, Affiliations
Meta-Analysis

Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer

Kyriaki Michailidou et al. Nat Genet. 2015 Apr.

Abstract

Genome-wide association studies (GWAS) and large-scale replication studies have identified common variants in 79 loci associated with breast cancer, explaining ∼14% of the familial risk of the disease. To identify new susceptibility loci, we performed a meta-analysis of 11 GWAS, comprising 15,748 breast cancer cases and 18,084 controls together with 46,785 cases and 42,892 controls from 41 studies genotyped on a 211,155-marker custom array (iCOGS). Analyses were restricted to women of European ancestry. We generated genotypes for more than 11 million SNPs by imputation using the 1000 Genomes Project reference panel, and we identified 15 new loci associated with breast cancer at P < 5 × 10(-8). Combining association analysis with ChIP-seq chromatin binding data in mammary cell lines and ChIA-PET chromatin interaction data from ENCODE, we identified likely target genes in two regions: SETBP1 at 18q12.3 and RNF115 and PDZK1 at 1q21.1. One association appears to be driven by an amino acid substitution encoded in EXO1.

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Conflict of interest statement

Competing Financial Interests

The authors confirm that they have no competing financial interests

Figures

Figure 1
Figure 1
Histograms of the imputation r2 a) Histogram of the imputation r2 for the iCOGS for variants with MAF>0.05 b) Histogram of the imputation r2 for the UK2 GWAS for variants with MAF>0.05 c) Histogram of the imputation r2 for the iCOGS for variants with MAF<=0.05 d) Histogram of the imputation r2 for the UK2 GWAS for variants with MAF<=0.05.
Figure 2
Figure 2
The chromosome 1 locus tagged by rs12405132 a) The Manhattan Plot displays the strength of genetic association (−log10 P) versus chromosomal position (Mb), where each dot presents a genotyped (solid black dot) or imputed (red circle) SNP (in the iCOGS stage). The purple horizontal line represents the threshold for genome-wide significance (P=5×10−8). Gene structures are depicted as well as the location of SNPs with MAF>0.01 which were neither imputed reliably nor genotyped. b) Mammary cell enhancer locations as defined in Corradin et al., and Hnisz et al., are shown where elements overlapping the best associated SNPs are labelled with their predicted target genes. A subset of ChiA-PET interactions in MCF7 cells (mediated by either RNApolII or ERa) between enhancers and their target gene promoters are also shown.

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