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Wolford, Brooke N

0000-0003-3153-1552

Mayo Clinic

Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor (B.N.W., C.J.W.).

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.
Genetic Architecture of Abdominal Aortic Aneurysm in the Million Veteran Program
Klarin, Derek , Judy, Renae , Dikilitas, Ozan , Wolford, Brooke N. , Paranjpe, Ishan , Levin, Michael G. , Pan, Cuiping , Tcheandjieu, Catherine , Spin, Joshua M. , Assimes, Themistocles L. , Nyrønning, Linn Åldstedt , Mattsson, Erney , Denny, Joshua C. , Zhang, Yanfei , Jarvik, Gail P. , Gharavi, Ali G. , Harley, John B. , Mentch, Frank , Håkonarson, Håkon , Skogholt, Anne Heidi , Thomas, Laurent F. , Gabrielsen, Maiken E. , Zhou, Wei , Fritsche, Lars G. , Huang, Jie , Natarajan, Pradeep , Sun, Yan V. , DuVall, Scott L. , Cho, Kelly , Chang, Kyong‐Mi , Wilson, Peter W.F. , O’Donnell, Christopher J., Kathiresan, Sekar , Scali, Salvatore T. , Jones, Gregory T. , Bown, Matthew J. , Nadkarni, Girish N. , Ritchie, Marylyn D. , Tsao, Philip S. , Gaziano, J. Michael , Ramoni, Rachel , Breeling, Jim, Huang, Grant D. , Muralidhar, Sumitra , O’Donnell, Christopher J. , Romero, Jonathan , Tsao, Philip S., Moser, Jennifer , Whitbourne, Stacey B. , Brewer, Jessica V., Warren, Stuart, Argyres, Dean P., Tsao, Philip S., Stephens, Brady, Brophy, Mary T. , Humphries, Donald E., Shayan, Shahpoor, O’Donnell, Christopher J., Pyarajan, Saiju , Tsao, Philip S., Dell’Italia, Louis J. , Zablocki, Clement J., Beckham, Jean, Wells, John A. , Gutierrez, Salvador, Kaminsky, Laurence S., Villareal, Gerardo, Xu, Junzhe, Hamner, Mark B. , Haddock, Kathlyn Sue, Bhushan, Sujata, Iruvanti, Pran, Godschalk, Michael, Buford, Malcolm, Mastorides, Stephen , Ratcliffe, Nora, Flórez, Hermes , Swann, Alan C. , Murdoch, Maureen, Yeh, Shing Shing, Washburn, Ronald G., Jhala, Darshana , Aguayo, Samuel M., Cohen, David , Sharma, Satish, Callaghan, John, Oursler, Kris Ann, Ahuja, Sunil K. , Gutierrez, Amparo, Schifman, Ronald, Greco, Jennifer , Oehlert, Mary E. , Wallbom, Agnes, Fernando, Ronald, Morgan, Timothy R. , Stapley, Todd, Anderson, Gwenevere, Sonel, Elif, Fayad, Joseph, Hung, Adriana M. , Lichy, Jack, Hurley, Robin A. , Hakonarson, Hakon , Denny, Joshua C , Jarvik, Gail P , Dikilitas, Ozan , Assimes, Themistocles L , Natarajan, Pradeep , Wolford, Brooke N , Scali, Salvatore , Chang, Kyong-Mi , Tsao, Philip S , Verma, Shefali S. , Lynch, Julie A. , Edwards, Todd L. , Larson, Eric B. , Lee, Ming Ta Michael , Carrell, David , Pacheco, Jennifer A. , Hveem, Kristian , Nielsen, Jonas Bille , Rader, Daniel J , O’Donnell, Christopher J., Berceli, Scott A. , Willer, Cristen J , Kullo, Iftikhar J. , Damrauer, Scott M , Beckham, Jean C , Tsao, Philip S., Concato, John , Tsao, Philip S., Do, Nhan , Nguyen, Xuan‐Mai T. , O’Donnell, Christopher J., Tsao, Philip S., Hauser, Elizabeth R. , Zhao, Hongyu , McArdle, Rachel , Whittle, Jeff , Beckham, Jean, Wells, John, Gibson, Gretchen , Kinlay, Scott , Ballas, Zuhair K. , Klein, Jon , Sriram, Peruvemba , Washburn, Ronald, Whooley, Mary A. , Rauchman, Michael I. , Servatius, Richard J. , Sherman, Scott E. , Boyko, Edward J. , Meyer, Laurence , Gupta, Samir , Robey, R. Brooks , Striker, Rob

Circulation | September 28, 2020 | Volume: 142 | Issue: 17 | Pages: 1633-1646

10.1161/circulationaha.120.047544 Get It

Background: Abdominal aortic aneurysm (AAA) is an important cause of cardiovascular mortality; however, its genetic determinants remain incompletely defined. In total, 10 previously identified risk loci explain a small fraction of AAA heritability. Methods: We performed a genome-wide association study in the Million Veteran Program testing ≈18 million DNA sequence variants with AAA (7642 cases and 172 172 controls) in veterans of European ancestry with independent replication in up to 4972 cases and 99 858 controls. We then used mendelian randomization to examine the causal effects of blood pressure on AAA. We examined the association of AAA risk variants with aneurysms in the lower extremity, cerebral, and iliac arterial beds, and derived a genome-wide polygenic risk score (PRS) to identify a subset of the population at greater risk for disease. Results: Through a genome-wide association study, we identified 14 novel loci, bringing the total number of known significant AAA loci to 24. In our mendelian randomization analysis, we demonstrate that a genetic increase of 10 mm Hg in diastolic blood pressure (odds ratio, 1.43 [95% CI, 1.24–1.66]; P =1.6×10 −6 ), as opposed to systolic blood pressure (odds ratio, 1.06 [95% CI, 0.97–1.15]; P =0.2), likely has a causal relationship with AAA development. We observed that 19 of 24 AAA risk variants associate with aneurysms in at least 1 other vascular territory. A 29-variant PRS was strongly associated with AAA (odds ratio PRS , 1.26 [95% CI, 1.18–1.36]; P PRS =2.7×10 −11 per SD increase in PRS), independent of family history and smoking risk factors (odds ratio PRS+family history+smoking , 1.24 [95% CI, 1.14–1.35]; P PRS =1.27×10 −6 ). Using this PRS, we identified a subset of the population with AAA prevalence greater than that observed in screening trials informing current guidelines. Conclusions: We identify novel AAA genetic associations with therapeutic implications and identify a subset of the population at significantly increased genetic risk of AAA independent of family history. Our data suggest that extending current screening guidelines to include testing to identify those with high polygenic AAA risk, once the cost of genotyping becomes comparable with that of screening ultrasound, would significantly increase the yield of current screening at reasonable cost.