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. 2020 Jul;44(5):442-468.
doi: 10.1002/gepi.22288. Epub 2020 Mar 1.

Transcriptome-wide association study of breast cancer risk by estrogen-receptor status

Helian Feng  1   2   3 Alexander Gusev  4 Bogdan Pasaniuc  5 Lang Wu  6 Jirong Long  7 Zomoroda Abu-Full  8 Kristiina Aittomäki  9 Irene L Andrulis  10   11 Hoda Anton-Culver  12 Antonis C Antoniou  13 Adalgeir Arason  14   15 Volker Arndt  16 Kristan J Aronson  17 Banu K Arun  18 Ella Asseryanis  19 Paul L Auer  20   21 Jacopo Azzollini  22 Judith Balmaña  23 Rosa B Barkardottir  14   15 Daniel R Barnes  13 Daniel Barrowdale  13 Matthias W Beckmann  24 Sabine Behrens  25 Javier Benitez  26   27 Marina Bermisheva  28 Katarzyna Białkowska  29 Ana Blanco  26   30   31 Carl Blomqvist  32   33 Bram Boeckx  34   35 Natalia V Bogdanova  36   37   38 Stig E Bojesen  39   40   41 Manjeet K Bolla  13 Bernardo Bonanni  42 Ake Borg  43 Hiltrud Brauch  44   45   46 Hermann Brenner  16   46   47 Ignacio Briceno  48   49 Annegien Broeks  50 Thomas Brüning  51 Barbara Burwinkel  52   53 Qiuyin Cai  7 Trinidad Caldés  54 Maria A Caligo  55 Ian Campbell  56   57 Sander Canisius  50   58 Daniele Campa  59 Brian D Carter  60 Jonathan Carter  61 Jose E Castelao  62 Jenny Chang-Claude  25   63 Stephen J Chanock  64 Hans Christiansen  36 Wendy K Chung  65 Kathleen B M Claes  66 Christine L Clarke  67 GEMO Study Collaborators  68   69   70 EMBRACE Collaborators  13 GC-HBOC study Collaborators  71 Fergus J Couch  72 Angela Cox  73 Simon S Cross  74 Cezary Cybulski  29 Kamila Czene  75 Mary B Daly  76 Miguel de la Hoya  54 Kim De Leeneer  66 Joe Dennis  13 Peter Devilee  77   78 Orland Diez  79   80 Susan M Domchek  81 Thilo Dörk  37 Isabel Dos-Santos-Silva  82 Alison M Dunning  83 Miriam Dwek  84 Diana M Eccles  85 Bent Ejlertsen  86 Carolina Ellberg  87 Christoph Engel  88   89 Mikael Eriksson  75 Peter A Fasching  24   90 Olivia Fletcher  91 Henrik Flyger  92 Florentia Fostira  93 Eitan Friedman  94   95 Lin Fritschi  96 Debra Frost  13 Marike Gabrielson  75 Patricia A Ganz  97 Susan M Gapstur  60 Judy Garber  98 Montserrat García-Closas  64   99   100 José A García-Sáenz  54 Mia M Gaudet  60 Graham G Giles  101   102 Gord Glendon  10 Andrew K Godwin  103 Mark S Goldberg  104   105 David E Goldgar  106 Anna González-Neira  27 Mark H Greene  107 Jacek Gronwald  29 Pascal Guénel  108 Christopher A Haiman  109 Per Hall  75   110 Ute Hamann  111 Christopher Hake  112 Wei He  75 Jane Heyworth  113 Frans B L Hogervorst  114 Antoinette Hollestelle  115 Maartje J Hooning  115 Robert N Hoover  64 John L Hopper  101 Guanmengqian Huang  111 Peter J Hulick  116   117 Keith Humphreys  75 Evgeny N Imyanitov  118 ABCTB Investigators  119 HEBON Investigators  120 BCFR Investigators  121 OCGN Investigators  122 Claudine Isaacs  123 Milena Jakimovska  124 Anna Jakubowska  29   125 Paul James  57   126 Ramunas Janavicius  127 Rachel C Jankowitz  128 Esther M John  121 Nichola Johnson  91 Vijai Joseph  129 Audrey Jung  25 Beth Y Karlan  130 Elza Khusnutdinova  28   131 Johanna I Kiiski  132 Irene Konstantopoulou  93 Vessela N Kristensen  133   134 Yael Laitman  94 Diether Lambrechts  34   35 Conxi Lazaro  135 Dominique Leroux  136 Goska Leslie  13 Jenny Lester  130 Fabienne Lesueur  69   70   137 Noralane Lindor  138 Sara Lindström  139   140 Wing-Yee Lo  44   45 Jennifer T Loud  107 Jan Lubiński  29 Enes Makalic  101 Arto Mannermaa  141   142   143 Mehdi Manoochehri  111 Siranoush Manoukian  22 Sara Margolin  110   144 John W M Martens  115 Maria E Martinez  145   146 Laura Matricardi  147 Tabea Maurer  63 Dimitrios Mavroudis  148 Lesley McGuffog  13 Alfons Meindl  149 Usha Menon  150 Kyriaki Michailidou  13   151 Pooja M Kapoor  25   152 Austin Miller  153 Marco Montagna  147 Fernando Moreno  54 Lidia Moserle  147 Anna M Mulligan  154   155 Taru A Muranen  132 Katherine L Nathanson  81 Susan L Neuhausen  156 Heli Nevanlinna  132 Ines Nevelsteen  157 Finn C Nielsen  158 Liene Nikitina-Zake  159 Kenneth Offit  129   160 Edith Olah  161 Olufunmilayo I Olopade  162 Håkan Olsson  87 Ana Osorio  26   27 Janos Papp  161 Tjoung-Won Park-Simon  37 Michael T Parsons  163 Inge S Pedersen  164 Ana Peixoto  165 Paolo Peterlongo  166 Julian Peto  82 Paul D P Pharoah  13   83 Kelly-Anne Phillips  56   57   101   167 Dijana Plaseska-Karanfilska  124 Bruce Poppe  66 Nisha Pradhan  129 Karolina Prajzendanc  29 Nadege Presneau  84 Kevin Punie  157 Katri Pylkäs  168   169 Paolo Radice  170 Johanna Rantala  171 Muhammad Usman Rashid  111   172 Gad Rennert  8 Harvey A Risch  173 Mark Robson  160 Atocha Romero  174 Emmanouil Saloustros  175 Dale P Sandler  176 Catarina Santos  165 Elinor J Sawyer  177 Marjanka K Schmidt  50   178 Daniel F Schmidt  101   179 Rita K Schmutzler  71   180 Minouk J Schoemaker  99 Rodney J Scott  181   182   183 Priyanka Sharma  184 Xiao-Ou Shu  7 Jacques Simard  185 Christian F Singer  19 Anne-Bine Skytte  186 Penny Soucy  185 Melissa C Southey  187   188 John J Spinelli  189   190 Amanda B Spurdle  163 Jennifer Stone  101   191 Anthony J Swerdlow  99   192 William J Tapper  193 Jack A Taylor  176   194 Manuel R Teixeira  165   195 Mary Beth Terry  196 Alex Teulé  197 Mads Thomassen  198 Kathrin Thöne  63 Darcy L Thull  199 Marc Tischkowitz  200   201 Amanda E Toland  202 Rob A E M Tollenaar  203 Diana Torres  48   111 Thérèse Truong  108 Nadine Tung  204 Celine M Vachon  205 Christi J van Asperen  206 Ans M W van den Ouweland  207 Elizabeth J van Rensburg  208 Ana Vega  26   30   31 Alessandra Viel  209 Paula Vieiro-Balo  210 Qin Wang  13 Barbara Wappenschmidt  71   180 Clarice R Weinberg  211 Jeffrey N Weitzel  212 Camilla Wendt  144 Robert Winqvist  168   169 Xiaohong R Yang  64 Drakoulis Yannoukakos  93 Argyrios Ziogas  12 Roger L Milne  100   101   187 Douglas F Easton  13   83 Georgia Chenevix-Trench  163 Wei Zheng  7 Peter Kraft  1   2 Xia Jiang  1   2
Affiliations

Transcriptome-wide association study of breast cancer risk by estrogen-receptor status

Helian Feng et al. Genet Epidemiol. 2020 Jul.

Abstract

Previous transcriptome-wide association studies (TWAS) have identified breast cancer risk genes by integrating data from expression quantitative loci and genome-wide association studies (GWAS), but analyses of breast cancer subtype-specific associations have been limited. In this study, we conducted a TWAS using gene expression data from GTEx and summary statistics from the hitherto largest GWAS meta-analysis conducted for breast cancer overall, and by estrogen receptor subtypes (ER+ and ER-). We further compared associations with ER+ and ER- subtypes, using a case-only TWAS approach. We also conducted multigene conditional analyses in regions with multiple TWAS associations. Two genes, STXBP4 and HIST2H2BA, were specifically associated with ER+ but not with ER- breast cancer. We further identified 30 TWAS-significant genes associated with overall breast cancer risk, including four that were not identified in previous studies. Conditional analyses identified single independent breast-cancer gene in three of six regions harboring multiple TWAS-significant genes. Our study provides new information on breast cancer genetics and biology, particularly about genomic differences between ER+ and ER- breast cancer.

Keywords: GWAS; TWAS; breast cancer subtype; causal gene.

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Figures

FIGURE 1
FIGURE 1
Scatter plot comparing the transcriptome-wide association study z scores in ER+ and ER− patients
FIGURE 2
FIGURE 2
Conditional and joint analysis (COJO) for genes near a strong breast cancer GWAS hit. (a) COJO results adjusting for predicted expression of ALS2CR12. After conditioning on ALS2CR12, almost all original significant GWAS signals (grey dots) disappear (blue dots). (b) COJO results adjusting for the predicted expression of CASP8. After conditioning on CASP8, some of the original GWAS significant signals (grey dots) remains (blue dots)
FIGURE 3
FIGURE 3
COJO for regions with multiple TWAS associations. For each plot, the top panel shows all genes in the locus. After COJO analysis, the marginally associated genes are highlighted in blue, while those that remain jointly significant are highlighted in green (in this case, L3MBTL3, CASP8, and ALS2C12). The bottom panel shows a Manhattan plot of the GWAS signals before (gray) and after (blue) conditioning on the significant (green) genes. (a) COJO results for 6q22 (only one gene remains significant after COJO). (b) COJO results for 2q33 (an example of multiple genes remaining jointly remain significant after COJO). COJO, conditional and joint analysis; GWAS, genome-wide association studies; TWAS, transcriptome-wide association studies

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