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Turman, Constance

0000-0002-7790-8311

Mayo Clinic

Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Citations 2

Genome-wide analyses characterize shared heritability among cancers and identify novel cancer susceptibility regions
Lindström, Sara , Wang, Lu , Feng, Helian , Huo, Sijia , Harrison, Tabitha A. , Turman, Constance , Chen, Hongjie , Bammler, Theo K. , Gallinger, Steve, Gruber, Stephen B. , Moreno, Vı́ctor , Offit, Kenneth , O’Mara, Tracy A. , Tomlinson, Ian, Gharahkhani, Puya , MacGregor, Stuart , Schumacher, Johannes , Bondy, Melissa L. , Houlston, Richard S. , Jenkins, Robert B. , Melin, Beatrice , Wrensch, Margaret , Brennan, Paul , Johansson, Mattias , McKay, James , Aldrich, Melinda C. , Landi, Maria Teresa , Bishop, D. Timothy , Iles, Mark M. , Law, Matthew H. , Wolpin, Brian M. , Petersen, Gloria M. , Purdue, Mark P. , Scélo, Ghislaine , Kar, Siddhartha , Hung, Rayjean J, Kraft, Peter , Lissowska, Jolanta , Simard, Jacques , Dörk, Thilo , John, Esther M. , Carracedo, Ángel , Huang, Wen‐Yi , Vodička, Pavel , Taylor, Jack A. , Lessel, Davor , Kurian, Allison W. , Hung, Rayjean J. , Kundaje, Anshul , Zhong, Jun , Turman, Constance , Chen, Hongjie , Gruber, Stephen B , Marchand, Loïc Le , Moreno, Victor , Offit, Kenneth , Gharahkhani, Puya , MacGregor, Stuart , Schumacher, Johannes , Houlston, Richard S , Brennan, Paul , Johansson, Mattias , Iles, Mark M , Law, Matthew H , Amundadottir, Laufey , Klein, Alison P , Petersen, Gloria, Chanock, Stephen Jacob , Kar, Siddhartha , Kraft, Peter , Dörk, Thilo , Lissowska, Jolanta , John, Esther M , Hung, Rayjean J , Harrison, Tabitha A , O'Mara, Tracy A , Lessel, Davor , Bishop, D Timothy , Huang, Wen-Yi , Taylor, Jack A , Simard, Jacques , Kurian, Allison W , Kundaje, Anshul , Vodicka, Pavel , Zhong, Jun , Majumdar, Arunabha , MacDonald, James W. , Mancuso, Nicholas , Gunter, Marc J. , Marchand, Loı̈c Le , Vivo, Immaculata De , Spurdle, Amanda B. , Fitzgerald, Rebecca C. , Gockel, Ines , Jankowski, Janusz , Barnholtz‐Sloan, Jill S. , Christiani, David C. , Amos, Christopher I. , Tardón, Adonina , Démenais, Florence , Goldstein, Alisa M. , Kanetsky, Peter A. , Ámundadóttir, Laufey T. , Stolzenberg‐Solomon, Rachael Z. , Klein, Alison P. , Risch, Harvey A. , Pharoah, Paul D.P. , Paşaniuc, Bogdan

JNCI: Journal of the National Cancer Institute | March 17, 2023 | Volume: 115 | Issue: 6 | Pages: 712-732

10.1093/jnci/djad043 Get It

Abstract Background The shared inherited genetic contribution to risk of different cancers is not fully known. In this study, we leverage results from 12 cancer genome-wide association studies (GWAS) to quantify pairwise genome-wide genetic correlations across cancers and identify novel cancer susceptibility loci. Methods We collected GWAS summary statistics for 12 solid cancers based on 376 759 participants with cancer and 532 864 participants without cancer of European ancestry. The included cancer types were breast, colorectal, endometrial, esophageal, glioma, head and neck, lung, melanoma, ovarian, pancreatic, prostate, and renal cancers. We conducted cross-cancer GWAS and transcriptome-wide association studies to discover novel cancer susceptibility loci. Finally, we assessed the extent of variant-specific pleiotropy among cancers at known and newly identified cancer susceptibility loci. Results We observed widespread but modest genome-wide genetic correlations across cancers. In cross-cancer GWAS and transcriptome-wide association studies, we identified 15 novel cancer susceptibility loci. Additionally, we identified multiple variants at 77 distinct loci with strong evidence of being associated with at least 2 cancer types by testing for pleiotropy at known cancer susceptibility loci. Conclusions Overall, these results suggest that some genetic risk variants are shared among cancers, though much of cancer heritability is cancer-specific and thus tissue-specific. The increase in statistical power associated with larger sample sizes in cross-disease analysis allows for the identification of novel susceptibility regions. Future studies incorporating data on multiple cancer types are likely to identify additional regions associated with the risk of multiple cancer types.
Cross-Ancestry Investigation of Venous Thromboembolism Genomic Predictors
Thibord, Florian , Klarin, Derek , Brody, Jennifer A. , Chen, Ming‐Huei , Levin, Michael G. , Chasman, Daniel I. , Goode, Ellen L. , Teder‐Laving, Maris , Martínez-Pérez, Ángel , Daian-Bacq, Delphine, Ito, Kaoru , Natarajan, Pradeep , Lutsey, Pamela L. , Nadkarni, Girish N. , Vries, Paul S. de , Wolford, Brooke N. , Pattee, Jack , Brækkan, Sigrid K. , Li‐Gao, Ruifang , Saut, Noémie , Sept, Corriene, Judy, Renae , O’Donnell, Christopher J. , Giulianini, Franco, Boland, Anne , Empana, Jean‐Philippe , Gilliland, Thomas , Do, Ron , Wang, Xin , Zhou, Wei , Soria, José Manuel , Souto, Juan Carlos , Haessler, Jeffery, Hindberg, Kristian , Bartz, Traci M. , Heckbert, Susan R. , Armasu, Sebastian M. , Brumpton, Ben , Smadja, David M. , Jouven, Xavier , Loos, Ruth J. F. , Sabater‐Lleal, Maria , Pankow, James S. , Reiner, Alex P. , Vlieg, Astrid van Hylckama , Deleuze, Jean-François, Skogholt, Anne Heidi , Emmerich, Joseph , Tang, Weihong , Jackson, Rebecca D. , Hansen, John‐Bjarne , Morange, Pierre‐Emmanuel , Kabrhel, Christopher , Johnson, Andrew D. , Smith, Nicholas L. , Martinez-Perez, Angel , Aïssi, Dylan , Ito, Kaoru , Natarajan, Pradeep , Lutsey, Pamela L , Nadkarni, Girish N , de Vries, Paul S , Wolford, Brooke N , Kooperberg, Charles , Braekkan, Sigrid K , Li-Gao, Ruifang , Saut, Noemie , Germain, Marine , Wiggins, Kerri L , Ko, Darae , O'Donnell, Christopher J , Taylor, Kent D , de Andrade, Mariza , Nøst, Therese H , Boland, Anne , Empana, Jean Philippe , Gilliland, Thomas , Do, Ron , Wang, Xin , Manuel Soria, Jose , Carlos Souto, Juan , Pankratz, Nathan , Rosendaal, Frits R , Turman, Constance , Olaso, Robert , Bartz, Traci M , Lynch, Julie A , Heckbert, Susan R , Brumpton, Ben , Smadja, David M , Komuro, Issei , Clapham, Katharine R , Loos, Ruth J F , Willer, Cristen J , Sabater-Lleal, Maria , Pankow, James S , Reiner, Alexander P , Ridker, Paul M. , Rader, Daniel J , Min Lee, Kyung , Psaty, Bruce M , Rich, Stephen S , Vy, Ha My T , Tang, Weihong , Damrauer, Scott M , Johnson, Andrew D , Smith, Nicholas L , Chasman, Daniel I , Brody, Jennifer A , Hveem, Kristian , Cuéllar-Partida, Gabriel , Kooperberg, Charles , Germain, Marine , Wiggins, Kerri L. , Taylor, Kent D. , Andrade, Mariza de , Koyama, Satoshi , Huffman, Jennifer E. , Pankratz, Nathan , Turman, Constance , Kember, Rachel L. , Lynch, Julie A. , Morelli, Vânia Maris , Deleuze, Jean‐François , Kraft, Peter , Lee, Kyung Min , Psaty, Bruce M. , Suchon, Pierre , Rich, Stephen S. , Trégouët, David‐Alexandre

Circulation | October 17, 2022 | Volume: 146 | Issue: 16 | Pages: 1225-1242

10.1161/circulationaha.122.059675 Get It

Background: Venous thromboembolism (VTE) is a life-threatening vascular event with environmental and genetic determinants. Recent VTE genome-wide association studies (GWAS) meta-analyses involved nearly 30 000 VTE cases and identified up to 40 genetic loci associated with VTE risk, including loci not previously suspected to play a role in hemostasis. The aim of our research was to expand discovery of new genetic loci associated with VTE by using cross-ancestry genomic resources. Methods: We present new cross-ancestry meta-analyzed GWAS results involving up to 81 669 VTE cases from 30 studies, with replication of novel loci in independent populations and loci characterization through in silico genomic interrogations. Results: In our genetic discovery effort that included 55 330 participants with VTE (47 822 European, 6320 African, and 1188 Hispanic ancestry), we identified 48 novel associations, of which 34 were replicated after correction for multiple testing. In our combined discovery-replication analysis (81 669 VTE participants) and ancestry-stratified meta-analyses (European, African, and Hispanic), we identified another 44 novel associations, which are new candidate VTE-associated loci requiring replication. In total, across all GWAS meta-analyses, we identified 135 independent genomic loci significantly associated with VTE risk. A genetic risk score of the significantly associated loci in Europeans identified a 6-fold increase in risk for those in the top 1% of scores compared with those with average scores. We also identified 31 novel transcript associations in transcriptome-wide association studies and 8 novel candidate genes with protein quantitative-trait locus Mendelian randomization analyses. In silico interrogations of hemostasis and hematology traits and a large phenome-wide association analysis of the 135 GWAS loci provided insights to biological pathways contributing to VTE, with some loci contributing to VTE through well-characterized coagulation pathways and others providing new data on the role of hematology traits, particularly platelet function. Many of the replicated loci are outside of known or currently hypothesized pathways to thrombosis. Conclusions: Our cross-ancestry GWAS meta-analyses identified new loci associated with VTE. These findings highlight new pathways to thrombosis and provide novel molecules that may be useful in the development of improved antithrombosis treatments.