@article {1406, title = {Association of mild to moderate chronic kidney disease with venous thromboembolism: pooled analysis of five prospective general population cohorts.}, journal = {Circulation}, volume = {126}, year = {2012}, month = {2012 Oct 16}, pages = {1964-71}, abstract = {

BACKGROUND: Recent findings suggest that chronic kidney disease (CKD) may be associated with an increased risk of venous thromboembolism (VTE). Given the high prevalence of mild-to-moderate CKD in the general population, in depth analysis of this association is warranted.

METHODS AND RESULTS: We pooled individual participant data from 5 community-based cohorts from Europe (second Nord-Tr{\o}ndelag Health Study [HUNT2], Prevention of Renal and Vascular End-stage Disease [PREVEND], and the Troms{\o} study) and the United States (Atherosclerosis Risks in Communities [ARIC] and Cardiovascular Health Study [CHS]) to assess the association of estimated glomerular filtration rate (eGFR), albuminuria, and CKD with objectively verified VTE. To estimate adjusted hazard ratios for VTE, categorical and continuous spline models were fit by using Cox regression with shared-frailty or random-effect meta-analysis. A total of 1178 VTE events occurred over 599 453 person-years follow-up. Relative to eGFR 100 mL/min per 1.73 m(2), hazard ratios for VTE were 1.29 (95\% confidence interval, 1.04-1.59) for eGFR 75, 1.31 (1.00-1.71) for eGFR 60, 1.82 (1.27-2.60) for eGFR 45, and 1.95 (1.26-3.01) for eGFR 30 mL/min per 1.73 m(2). In comparison with an albumin-to-creatinine ratio (ACR) of 5.0 mg/g, the hazard ratios for VTE were 1.34 (1.04-1.72) for ACR 30 mg/g, 1.60 (1.08-2.36) for ACR 300 mg/g, and 1.92 (1.19-3.09) for ACR 1000 mg/g. There was no interaction between clinical categories of eGFR and ACR (P=0.20). The adjusted hazard ratio for CKD, defined as eGFR <60 mL/min per 1.73 m(2) or albuminuria >=30 mg/g, (versus no CKD) was 1.54 (95\% confidence interval, 1.15-2.06). Associations were consistent in subgroups according to age, sex, and comorbidities, and for unprovoked versus provoked VTE, as well.

CONCLUSIONS: Both eGFR and ACR are independently associated with increased risk of VTE in the general population, even across the normal eGFR and ACR ranges.

}, keywords = {Aged, Cohort Studies, Europe, Female, Humans, Incidence, Male, Middle Aged, Prevalence, Renal Insufficiency, Chronic, Risk Factors, Severity of Illness Index, Venous Thromboembolism}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.112.113944}, author = {Mahmoodi, Bakhtawar K and Gansevoort, Ron T and N{\ae}ss, Inger Anne and Lutsey, Pamela L and Br{\ae}kkan, Sigrid K and Veeger, Nic J G M and Brodin, Ellen E and Meijer, Karina and Sang, Yingying and Matsushita, Kunihiro and Hallan, Stein I and Hammerstr{\o}m, Jens and Cannegieter, Suzanne C and Astor, Brad C and Coresh, Josef and Folsom, Aaron R and Hansen, John-Bjarne and Cushman, Mary} } @article {6542, title = {Association between the metabolic syndrome, its individual components, and unprovoked venous thromboembolism: results of a patient-level meta-analysis.}, journal = {Arterioscler Thromb Vasc Biol}, volume = {34}, year = {2014}, month = {2014 Nov}, pages = {2478-85}, abstract = {

OBJECTIVE: The metabolic syndrome (MetS) may contribute to the pathogenesis of venous thromboembolism (VTE), but this association requires additional investigation.

APPROACH AND RESULTS: We performed a patient-level meta-analysis of case-control and cohort studies that evaluated the role of MetS and risk of unprovoked VTE. For case-control studies, odds ratios and 95\% confidence intervals were calculated using logistic regression analysis to estimate the influence of individual variables on the risk of VTE; χ(2) tests for trend were used to investigate the effect of increasing number of components of MetS on the risk of VTE and to explore the influence of abdominal obesity on this relationship. For cohort studies, hazard ratios and 95\% confidence interval were calculated using multivariable Cox regression analysis. Six case-control studies were included (908 cases with unprovoked VTE and 1794 controls): in multivariate analysis, MetS was independently associated with VTE (odds ratio, 1.91; 95\% confidence interval, 1.57-2.33), and both MetS and abdominal obesity were better predictors of unprovoked VTE than obesity defined by the body mass index. Two prospective cohort studies were included (26,531 subjects and 289 unprovoked VTE events): age, obesity, and abdominal obesity, but not MetS were associated with VTE.

CONCLUSIONS: Case-control but not prospective cohort studies support an association between MetS and VTE. Abdominal adiposity is a strong risk factor for VTE.

}, keywords = {Adult, Aged, Case-Control Studies, Cohort Studies, Female, Humans, Logistic Models, Male, Metabolic Syndrome, Middle Aged, Obesity, Abdominal, Risk Factors, Venous Thromboembolism}, issn = {1524-4636}, doi = {10.1161/ATVBAHA.114.304085}, author = {Ageno, Walter and Di Minno, Matteo N D and Ay, Cihan and Jang, Moon Ju and Hansen, John-Bjarne and Steffen, Lyn M and Vaya, Amparo and Rattazzi, Marcello and Pabinger, Ingrid and Oh, Doyeun and Di Minno, Giovanni and Braekkan, Sigrid K and Cushman, Mary and Bonet, Elena and Pauletto, Paolo and Squizzato, Alessandro and Dentali, Francesco} } @article {8200, title = {Genomic and transcriptomic association studies identify 16 novel susceptibility loci for venous thromboembolism.}, journal = {Blood}, volume = {134}, year = {2019}, month = {2019 Nov 07}, pages = {1645-1657}, abstract = {

Venous thromboembolism (VTE) is a significant contributor to morbidity and mortality. To advance our understanding of the biology contributing to VTE, we conducted a genome-wide association study (GWAS) of VTE and a transcriptome-wide association study (TWAS) based on imputed gene expression from whole blood and liver. We meta-analyzed GWAS data from 18 studies for 30 234 VTE cases and 172 122 controls and assessed the association between 12 923 718 genetic variants and VTE. We generated variant prediction scores of gene expression from whole blood and liver tissue and assessed them for association with VTE. Mendelian randomization analyses were conducted for traits genetically associated with novel VTE loci. We identified 34 independent genetic signals for VTE risk from GWAS meta-analysis, of which 14 are newly reported associations. This included 11 newly associated genetic loci (C1orf198, PLEK, OSMR-AS1, NUGGC/SCARA5, GRK5, MPHOSPH9, ARID4A, PLCG2, SMG6, EIF5A, and STX10) of which 6 replicated, and 3 new independent signals in 3 known genes. Further, TWAS identified 5 additional genetic loci with imputed gene expression levels differing between cases and controls in whole blood (SH2B3, SPSB1, RP11-747H7.3, RP4-737E23.2) and in liver (ERAP1). At some GWAS loci, we found suggestive evidence that the VTE association signal for novel and previously known regions colocalized with expression quantitative trait locus signals. Mendelian randomization analyses suggested that blood traits may contribute to the underlying risk of VTE. To conclude, we identified 16 novel susceptibility loci for VTE; for some loci, the association signals are likely mediated through gene expression of nearby genes.

}, issn = {1528-0020}, doi = {10.1182/blood.2019000435}, author = {Lindstr{\"o}m, Sara and Wang, Lu and Smith, Erin N and Gordon, William and van Hylckama Vlieg, Astrid and de Andrade, Mariza and Brody, Jennifer A and Pattee, Jack W and Haessler, Jeffrey and Brumpton, Ben M and Chasman, Daniel I and Suchon, Pierre and Chen, Ming-Huei and Turman, Constance and Germain, Marine and Wiggins, Kerri L and MacDonald, James and Braekkan, Sigrid K and Armasu, Sebastian M and Pankratz, Nathan and Jackson, Rebecca D and Nielsen, Jonas B and Giulianini, Franco and Puurunen, Marja K and Ibrahim, Manal and Heckbert, Susan R and Damrauer, Scott M and Natarajan, Pradeep and Klarin, Derek and de Vries, Paul S and Sabater-Lleal, Maria and Huffman, Jennifer E and Bammler, Theo K and Frazer, Kelly A and McCauley, Bryan M and Taylor, Kent and Pankow, James S and Reiner, Alexander P and Gabrielsen, Maiken E and Deleuze, Jean-Francois and O{\textquoteright}Donnell, Chris J and Kim, Jihye and McKnight, Barbara and Kraft, Peter and Hansen, John-Bjarne and Rosendaal, Frits R and Heit, John A and Psaty, Bruce M and Tang, Weihong and Kooperberg, Charles and Hveem, Kristian and Ridker, Paul M and Morange, Pierre-Emmanuel and Johnson, Andrew D and Kabrhel, Christopher and Tr{\'e}gou{\"e}t, David-Alexandre and Smith, Nicholas L} } @article {7979, title = {A large-scale exome array analysis of venous thromboembolism.}, journal = {Genet Epidemiol}, year = {2019}, month = {2019 Jan 19}, abstract = {

Although recent Genome-Wide Association Studies have identified novel associations for common variants, there has been no comprehensive exome-wide search for low-frequency variants that affect the risk of venous thromboembolism (VTE). We conducted a meta-analysis of 11 studies comprising 8,332 cases and 16,087 controls of European ancestry and 382 cases and 1,476 controls of African American ancestry genotyped with the Illumina HumanExome BeadChip. We used the seqMeta package in R to conduct single variant and gene-based rare variant tests. In the single variant analysis, we limited our analysis to the 64,794 variants with at least 40 minor alleles across studies (minor allele frequency [MAF] ~0.08\%). We confirmed associations with previously identified VTE loci, including ABO, F5, F11, and FGA. After adjusting for multiple testing, we observed no novel significant findings in single variant or gene-based analysis. Given our sample size, we had greater than 80\% power to detect minimum odds ratios greater than 1.5 and 1.8 for a single variant with MAF of 0.01 and 0.005, respectively. Larger studies and sequence data may be needed to identify novel low-frequency and rare variants associated with VTE risk.

}, issn = {1098-2272}, doi = {10.1002/gepi.22187}, author = {Lindstr{\"o}m, Sara and Brody, Jennifer A and Turman, Constance and Germain, Marine and Bartz, Traci M and Smith, Erin N and Chen, Ming-Huei and Puurunen, Marja and Chasman, Daniel and Hassler, Jeffrey and Pankratz, Nathan and Basu, Saonli and Guan, Weihua and Gyorgy, Beata and Ibrahim, Manal and Empana, Jean-Philippe and Olaso, Robert and Jackson, Rebecca and Braekkan, Sigrid K and McKnight, Barbara and Deleuze, Jean-Francois and O{\textquoteright}Donnell, Cristopher J and Jouven, Xavier and Frazer, Kelly A and Psaty, Bruce M and Wiggins, Kerri L and Taylor, Kent and Reiner, Alexander P and Heckbert, Susan R and Kooperberg, Charles and Ridker, Paul and Hansen, John-Bjarne and Tang, Weihong and Johnson, Andrew D and Morange, Pierre-Emmanuel and Tr{\'e}gou{\"e}t, David A and Kraft, Peter and Smith, Nicholas L and Kabrhel, Christopher} } @article {9194, title = {Cross-Ancestry Investigation of Venous Thromboembolism Genomic Predictors.}, journal = {Circulation}, volume = {146}, year = {2022}, month = {2022 Oct 18}, pages = {1225-1242}, abstract = {

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.

}, keywords = {Genetic Predisposition to Disease, Genome-Wide Association Study, Genomics, Humans, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Thrombosis, Venous Thromboembolism}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.122.059675}, author = {Thibord, Florian and Klarin, Derek and Brody, Jennifer A and Chen, Ming-Huei and Levin, Michael G and Chasman, Daniel I and Goode, Ellen L and Hveem, Kristian and Teder-Laving, Maris and Martinez-Perez, Angel and A{\"\i}ssi, Dylan and Daian-Bacq, Delphine and Ito, Kaoru and Natarajan, Pradeep and Lutsey, Pamela L and Nadkarni, Girish N and de Vries, Paul S and Cuellar-Partida, Gabriel and Wolford, Brooke N and Pattee, Jack W and Kooperberg, Charles and Braekkan, Sigrid K and Li-Gao, Ruifang and Saut, No{\'e}mie and Sept, Corriene and Germain, Marine and Judy, Renae L and Wiggins, Kerri L and Ko, Darae and O{\textquoteright}Donnell, Christopher J and Taylor, Kent D and Giulianini, Franco and de Andrade, Mariza and N{\o}st, Therese H and Boland, Anne and Empana, Jean-Philippe and Koyama, Satoshi and Gilliland, Thomas and Do, Ron and Huffman, Jennifer E and Wang, Xin and Zhou, Wei and Manuel Soria, Jose and Carlos Souto, Juan and Pankratz, Nathan and Haessler, Jeffery and Hindberg, Kristian and Rosendaal, Frits R and Turman, Constance and Olaso, Robert and Kember, Rachel L and Bartz, Traci M and Lynch, Julie A and Heckbert, Susan R and Armasu, Sebastian M and Brumpton, Ben and Smadja, David M and Jouven, Xavier and Komuro, Issei and Clapham, Katharine R and Loos, Ruth J F and Willer, Cristen J and Sabater-Lleal, Maria and Pankow, James S and Reiner, Alexander P and Morelli, Vania M and Ridker, Paul M and Vlieg, Astrid van Hylckama and Deleuze, Jean-Francois and Kraft, Peter and Rader, Daniel J and Min Lee, Kyung and Psaty, Bruce M and Heidi Skogholt, Anne and Emmerich, Joseph and Suchon, Pierre and Rich, Stephen S and Vy, Ha My T and Tang, Weihong and Jackson, Rebecca D and Hansen, John-Bjarne and Morange, Pierre-Emmanuel and Kabrhel, Christopher and Tr{\'e}gou{\"e}t, David-Alexandre and Damrauer, Scott M and Johnson, Andrew D and Smith, Nicholas L} }