Back to Authors

Chasman, Daniel I

0000-0003-3357-0862

Mayo Clinic

Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, USA.

Citations 2

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.
Prospective evaluation of a breast-cancer risk model integrating classical risk factors and polygenic risk in 15 cohorts from six countries
Hurson, Amber N. , Choudhury, Parichoy Pal , Gao, Chi , Eriksson, Mikael , Shi, Min , Jones, Michael E. , Evans, D. Gareth , Gaudet, Mia M. , Vachon, Celine M. , Easton, Douglas F. , García‐Closas, Montserrat , Chatterjee, Nilanjan , Group, for the B-CAST Risk Modelling, Simard, Jacques , Newman, William G. , Veen, Elke M. van , Harkness, Elaine F. , Chasman, Daniel I , Evans, D Gareth , Jones, Michael E , Newman, William G , García-Closas, Montserrat , Simard, Jacques , Eriksson, Mikael , Hüsing, Anika , Milne, Roger L. , Vachon, Celine M. , Chasman, Daniel I. , Schmidt, Marjanka K. , Kraft, Peter , Group, for the B-CAST Risk Modelling

International Journal of Epidemiology | February 19, 2021 | Volume: 50 | Issue: 6 | Pages: 1897-1911

10.1093/ije/dyab036 Get It

Abstract Background Rigorous evaluation of the calibration and discrimination of breast-cancer risk-prediction models in prospective cohorts is critical for applications under clinical guidelines. We comprehensively evaluated an integrated model incorporating classical risk factors and a 313-variant polygenic risk score (PRS) to predict breast-cancer risk. Methods Fifteen prospective cohorts from six countries with 239 340 women (7646 incident breast-cancer cases) of European ancestry aged 19–75 years were included. Calibration of 5-year risk was assessed by comparing expected and observed proportions of cases overall and within risk categories. Risk stratification for women of European ancestry aged 50–70 years in those countries was evaluated by the proportion of women and future cases crossing clinically relevant risk thresholds. Results Among women <50 years old, the median (range) expected-to-observed ratio for the integrated model across 15 cohorts was 0.9 (0.7–1.0) overall and 0.9 (0.7–1.4) at the highest-risk decile; among women ≥50 years old, these were 1.0 (0.7–1.3) and 1.2 (0.7–1.6), respectively. The proportion of women identified above a 3% 5-year risk threshold (used for recommending risk-reducing medications in the USA) ranged from 7.0% in Germany (∼841 000 of 12 million) to 17.7% in the USA (∼5.3 of 30 million). At this threshold, 14.7% of US women were reclassified by adding the PRS to classical risk factors, with identification of 12.2% of additional future cases. Conclusion Integrating a 313-variant PRS with classical risk factors can improve the identification of European-ancestry women at elevated risk who could benefit from targeted risk-reducing strategies under current clinical guidelines.