@article {1176, title = {Novel associations of multiple genetic loci with plasma levels of factor VII, factor VIII, and von Willebrand factor: The CHARGE (Cohorts for Heart and Aging Research in Genome Epidemiology) Consortium.}, journal = {Circulation}, volume = {121}, year = {2010}, month = {2010 Mar 30}, pages = {1382-92}, abstract = {

BACKGROUND: Plasma levels of coagulation factors VII (FVII), VIII (FVIII), and von Willebrand factor (vWF) influence risk of hemorrhage and thrombosis. We conducted genome-wide association studies to identify new loci associated with plasma levels.

METHODS AND RESULTS: The setting of the study included 5 community-based studies for discovery comprising 23 608 European-ancestry participants: Atherosclerosis Risk In Communities Study, Cardiovascular Health Study, British 1958 Birth Cohort, Framingham Heart Study, and Rotterdam Study. All subjects had genome-wide single-nucleotide polymorphism (SNP) scans and at least 1 phenotype measured: FVII activity/antigen, FVIII activity, and vWF antigen. Each study used its genotype data to impute to HapMap SNPs and independently conducted association analyses of hemostasis measures using an additive genetic model. Study findings were combined by meta-analysis. Replication was conducted in 7604 participants not in the discovery cohort. For FVII, 305 SNPs exceeded the genome-wide significance threshold of 5.0x10(-8) and comprised 5 loci on 5 chromosomes: 2p23 (smallest P value 6.2x10(-24)), 4q25 (3.6x10(-12)), 11q12 (2.0x10(-10)), 13q34 (9.0x10(-259)), and 20q11.2 (5.7x10(-37)). Loci were within or near genes, including 4 new candidate genes and F7 (13q34). For vWF, 400 SNPs exceeded the threshold and marked 8 loci on 6 chromosomes: 6q24 (1.2x10(-22)), 8p21 (1.3x10(-16)), 9q34 (<5.0x10(-324)), 12p13 (1.7x10(-32)), 12q23 (7.3x10(-10)), 12q24.3 (3.8x10(-11)), 14q32 (2.3x10(-10)), and 19p13.2 (1.3x10(-9)). All loci were within genes, including 6 new candidate genes, as well as ABO (9q34) and VWF (12p13). For FVIII, 5 loci were identified and overlapped vWF findings. Nine of the 10 new findings were replicated.

CONCLUSIONS: New genetic associations were discovered outside previously known biological pathways and may point to novel prevention and treatment targets of hemostasis disorders.

}, keywords = {Adult, Factor VII, Factor VIII, Female, Genome-Wide Association Study, Hemostasis, Humans, Male, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Thrombosis, von Willebrand Factor}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.109.869156}, author = {Smith, Nicholas L and Chen, Ming-Huei and Dehghan, Abbas and Strachan, David P and Basu, Saonli and Soranzo, Nicole and Hayward, Caroline and Rudan, Igor and Sabater-Lleal, Maria and Bis, Joshua C and de Maat, Moniek P M and Rumley, Ann and Kong, Xiaoxiao and Yang, Qiong and Williams, Frances M K and Vitart, Veronique and Campbell, Harry and M{\"a}larstig, Anders and Wiggins, Kerri L and van Duijn, Cornelia M and McArdle, Wendy L and Pankow, James S and Johnson, Andrew D and Silveira, Angela and McKnight, Barbara and Uitterlinden, Andr{\'e} G and Aleksic, Nena and Meigs, James B and Peters, Annette and Koenig, Wolfgang and Cushman, Mary and Kathiresan, Sekar and Rotter, Jerome I and Bovill, Edwin G and Hofman, Albert and Boerwinkle, Eric and Tofler, Geoffrey H and Peden, John F and Psaty, Bruce M and Leebeek, Frank and Folsom, Aaron R and Larson, Martin G and Spector, Timothy D and Wright, Alan F and Wilson, James F and Hamsten, Anders and Lumley, Thomas and Witteman, Jacqueline C M and Tang, Weihong and O{\textquoteright}Donnell, Christopher J} } @article {6667, title = {No evidence for genome-wide interactions on plasma fibrinogen by smoking, alcohol consumption and body mass index: results from meta-analyses of 80,607 subjects.}, journal = {PLoS One}, volume = {9}, year = {2014}, month = {2014}, pages = {e111156}, abstract = {

Plasma fibrinogen is an acute phase protein playing an important role in the blood coagulation cascade having strong associations with smoking, alcohol consumption and body mass index (BMI). Genome-wide association studies (GWAS) have identified a variety of gene regions associated with elevated plasma fibrinogen concentrations. However, little is yet known about how associations between environmental factors and fibrinogen might be modified by genetic variation. Therefore, we conducted large-scale meta-analyses of genome-wide interaction studies to identify possible interactions of genetic variants and smoking status, alcohol consumption or BMI on fibrinogen concentration. The present study included 80,607 subjects of European ancestry from 22 studies. Genome-wide interaction analyses were performed separately in each study for about 2.6 million single nucleotide polymorphisms (SNPs) across the 22 autosomal chromosomes. For each SNP and risk factor, we performed a linear regression under an additive genetic model including an interaction term between SNP and risk factor. Interaction estimates were meta-analysed using a fixed-effects model. No genome-wide significant interaction with smoking status, alcohol consumption or BMI was observed in the meta-analyses. The most suggestive interaction was found for smoking and rs10519203, located in the LOC123688 region on chromosome 15, with a p value of 6.2 {\texttimes} 10(-8). This large genome-wide interaction study including 80,607 participants found no strong evidence of interaction between genetic variants and smoking status, alcohol consumption or BMI on fibrinogen concentrations. Further studies are needed to yield deeper insight in the interplay between environmental factors and gene variants on the regulation of fibrinogen concentrations.

}, keywords = {Alcohol Drinking, Body Mass Index, Fibrinogen, Gene-Environment Interaction, Genomics, Humans, Smoking}, issn = {1932-6203}, doi = {10.1371/journal.pone.0111156}, author = {Baumert, Jens and Huang, Jie and McKnight, Barbara and Sabater-Lleal, Maria and Steri, Maristella and Chu, Audrey Y and Trompet, Stella and Lopez, Lorna M and Fornage, Myriam and Teumer, Alexander and Tang, Weihong and Rudnicka, Alicja R and M{\"a}larstig, Anders and Hottenga, Jouke-Jan and Kavousi, Maryam and Lahti, Jari and Tanaka, Toshiko and Hayward, Caroline and Huffman, Jennifer E and Morange, Pierre-Emmanuel and Rose, Lynda M and Basu, Saonli and Rumley, Ann and Stott, David J and Buckley, Brendan M and de Craen, Anton J M and Sanna, Serena and Masala, Marco and Biffar, Reiner and Homuth, Georg and Silveira, Angela and Sennblad, Bengt and Goel, Anuj and Watkins, Hugh and M{\"u}ller-Nurasyid, Martina and R{\"u}ckerl, Regina and Taylor, Kent and Chen, Ming-Huei and de Geus, Eco J C and Hofman, Albert and Witteman, Jacqueline C M and de Maat, Moniek P M and Palotie, Aarno and Davies, Gail and Siscovick, David S and Kolcic, Ivana and Wild, Sarah H and Song, Jaejoon and McArdle, Wendy L and Ford, Ian and Sattar, Naveed and Schlessinger, David and Grotevendt, Anne and Franzosi, Maria Grazia and Illig, Thomas and Waldenberger, Melanie and Lumley, Thomas and Tofler, Geoffrey H and Willemsen, Gonneke and Uitterlinden, Andr{\'e} G and Rivadeneira, Fernando and R{\"a}ikk{\"o}nen, Katri and Chasman, Daniel I and Folsom, Aaron R and Lowe, Gordon D and Westendorp, Rudi G J and Slagboom, P Eline and Cucca, Francesco and Wallaschofski, Henri and Strawbridge, Rona J and Seedorf, Udo and Koenig, Wolfgang and Bis, Joshua C and Mukamal, Kenneth J and van Dongen, Jenny and Widen, Elisabeth and Franco, Oscar H and Starr, John M and Liu, Kiang and Ferrucci, Luigi and Polasek, Ozren and Wilson, James F and Oudot-Mellakh, Tiphaine and Campbell, Harry and Navarro, Pau and Bandinelli, Stefania and Eriksson, Johan and Boomsma, Dorret I and Dehghan, Abbas and Clarke, Robert and Hamsten, Anders and Boerwinkle, Eric and Jukema, J Wouter and Naitza, Silvia and Ridker, Paul M and V{\"o}lzke, Henry and Deary, Ian J and Reiner, Alexander P and Tr{\'e}gou{\"e}t, David-Alexandre and O{\textquoteright}Donnell, Christopher J and Strachan, David P and Peters, Annette and Smith, Nicholas L} } @article {6788, title = {Rare and low-frequency variants and their association with plasma levels of fibrinogen, FVII, FVIII, and vWF.}, journal = {Blood}, volume = {126}, year = {2015}, month = {2015 Sep 10}, pages = {e19-29}, abstract = {

Fibrinogen, coagulation factor VII (FVII), and factor VIII (FVIII) and its carrier von Willebrand factor (vWF) play key roles in hemostasis. Previously identified common variants explain only a small fraction of the trait heritabilities, and additional variations may be explained by associations with rarer variants with larger effects. The aim of this study was to identify low-frequency (minor allele frequency [MAF] >=0.01 and <0.05) and rare (MAF <0.01) variants that influence plasma concentrations of these 4 hemostatic factors by meta-analyzing exome chip data from up to 76,000 participants of 4 ancestries. We identified 12 novel associations of low-frequency (n = 2) and rare (n = 10) variants across the fibrinogen, FVII, FVIII, and vWF traits that were independent of previously identified associations. Novel loci were found within previously reported genes and had effect sizes much larger than and independent of previously identified common variants. In addition, associations at KCNT1, HID1, and KATNB1 identified new candidate genes related to hemostasis for follow-up replication and functional genomic analysis. Newly identified low-frequency and rare-variant associations accounted for modest amounts of trait variance and therefore are unlikely to increase predicted trait heritability but provide new information for understanding individual variation in hemostasis pathways.

}, keywords = {Cohort Studies, Factor VII, Factor VIII, Fibrinogen, Gene Frequency, Genetic Association Studies, Genetic Variation, Humans, Nerve Tissue Proteins, Polymorphism, Single Nucleotide, Potassium Channels, von Willebrand Factor}, issn = {1528-0020}, doi = {10.1182/blood-2015-02-624551}, author = {Huffman, Jennifer E and de Vries, Paul S and Morrison, Alanna C and Sabater-Lleal, Maria and Kacprowski, Tim and Auer, Paul L and Brody, Jennifer A and Chasman, Daniel I and Chen, Ming-Huei and Guo, Xiuqing and Lin, Li-An and Marioni, Riccardo E and M{\"u}ller-Nurasyid, Martina and Yanek, Lisa R and Pankratz, Nathan and Grove, Megan L and de Maat, Moniek P M and Cushman, Mary and Wiggins, Kerri L and Qi, Lihong and Sennblad, Bengt and Harris, Sarah E and Polasek, Ozren and Riess, Helene and Rivadeneira, Fernando and Rose, Lynda M and Goel, Anuj and Taylor, Kent D and Teumer, Alexander and Uitterlinden, Andr{\'e} G and Vaidya, Dhananjay and Yao, Jie and Tang, Weihong and Levy, Daniel and Waldenberger, Melanie and Becker, Diane M and Folsom, Aaron R and Giulianini, Franco and Greinacher, Andreas and Hofman, Albert and Huang, Chiang-Ching and Kooperberg, Charles and Silveira, Angela and Starr, John M and Strauch, Konstantin and Strawbridge, Rona J and Wright, Alan F and McKnight, Barbara and Franco, Oscar H and Zakai, Neil and Mathias, Rasika A and Psaty, Bruce M and Ridker, Paul M and Tofler, Geoffrey H and V{\"o}lker, Uwe and Watkins, Hugh and Fornage, Myriam and Hamsten, Anders and Deary, Ian J and Boerwinkle, Eric and Koenig, Wolfgang and Rotter, Jerome I and Hayward, Caroline and Dehghan, Abbas and Reiner, Alex P and O{\textquoteright}Donnell, Christopher J and Smith, Nicholas L} } @article {6936, title = {A meta-analysis of 120 246 individuals identifies 18 new loci for fibrinogen concentration.}, journal = {Hum Mol Genet}, volume = {25}, year = {2016}, month = {2016 Jan 15}, pages = {358-70}, abstract = {

Genome-wide association studies have previously identified 23 genetic loci associated with circulating fibrinogen concentration. These studies used HapMap imputation and did not examine the X-chromosome. 1000 Genomes imputation provides better coverage of uncommon variants, and includes indels. We conducted a genome-wide association analysis of 34 studies imputed to the 1000 Genomes Project reference panel and including \~{}120 000 participants of European ancestry (95 806 participants with data on the X-chromosome). Approximately 10.7 million single-nucleotide polymorphisms and 1.2 million indels were examined. We identified 41 genome-wide significant fibrinogen loci; of which, 18 were newly identified. There were no genome-wide significant signals on the X-chromosome. The lead variants of five significant loci were indels. We further identified six additional independent signals, including three rare variants, at two previously characterized loci: FGB and IRF1. Together the 41 loci explain 3\% of the variance in plasma fibrinogen concentration.

}, issn = {1460-2083}, doi = {10.1093/hmg/ddv454}, author = {de Vries, Paul S and Chasman, Daniel I and Sabater-Lleal, Maria and Chen, Ming-Huei and Huffman, Jennifer E and Steri, Maristella and Tang, Weihong and Teumer, Alexander and Marioni, Riccardo E and Grossmann, Vera and Hottenga, Jouke J and Trompet, Stella and M{\"u}ller-Nurasyid, Martina and Zhao, Jing Hua and Brody, Jennifer A and Kleber, Marcus E and Guo, Xiuqing and Wang, Jie Jin and Auer, Paul L and Attia, John R and Yanek, Lisa R and Ahluwalia, Tarunveer S and Lahti, Jari and Venturini, Cristina and Tanaka, Toshiko and Bielak, Lawrence F and Joshi, Peter K and Rocanin-Arjo, Ares and Kolcic, Ivana and Navarro, Pau and Rose, Lynda M and Oldmeadow, Christopher and Riess, Helene and Mazur, Johanna and Basu, Saonli and Goel, Anuj and Yang, Qiong and Ghanbari, Mohsen and Willemsen, Gonneke and Rumley, Ann and Fiorillo, Edoardo and de Craen, Anton J M and Grotevendt, Anne and Scott, Robert and Taylor, Kent D and Delgado, Graciela E and Yao, Jie and Kifley, Annette and Kooperberg, Charles and Qayyum, Rehan and Lopez, Lorna M and Berentzen, Tina L and R{\"a}ikk{\"o}nen, Katri and Mangino, Massimo and Bandinelli, Stefania and Peyser, Patricia A and Wild, Sarah and Tr{\'e}gou{\"e}t, David-Alexandre and Wright, Alan F and Marten, Jonathan and Zemunik, Tatijana and Morrison, Alanna C and Sennblad, Bengt and Tofler, Geoffrey and de Maat, Moniek P M and de Geus, Eco J C and Lowe, Gordon D and Zoledziewska, Magdalena and Sattar, Naveed and Binder, Harald and V{\"o}lker, Uwe and Waldenberger, Melanie and Khaw, Kay-Tee and McKnight, Barbara and Huang, Jie and Jenny, Nancy S and Holliday, Elizabeth G and Qi, Lihong and Mcevoy, Mark G and Becker, Diane M and Starr, John M and Sarin, Antti-Pekka and Hysi, Pirro G and Hernandez, Dena G and Jhun, Min A and Campbell, Harry and Hamsten, Anders and Rivadeneira, Fernando and McArdle, Wendy L and Slagboom, P Eline and Zeller, Tanja and Koenig, Wolfgang and Psaty, Bruce M and Haritunians, Talin and Liu, Jingmin and Palotie, Aarno and Uitterlinden, Andr{\'e} G and Stott, David J and Hofman, Albert and Franco, Oscar H and Polasek, Ozren and Rudan, Igor and Morange, Pierre-Emmanuel and Wilson, James F and Kardia, Sharon L R and Ferrucci, Luigi and Spector, Tim D and Eriksson, Johan G and Hansen, Torben and Deary, Ian J and Becker, Lewis C and Scott, Rodney J and Mitchell, Paul and M{\"a}rz, Winfried and Wareham, Nick J and Peters, Annette and Greinacher, Andreas and Wild, Philipp S and Jukema, J Wouter and Boomsma, Dorret I and Hayward, Caroline and Cucca, Francesco and Tracy, Russell and Watkins, Hugh and Reiner, Alex P and Folsom, Aaron R and Ridker, Paul M and O{\textquoteright}Donnell, Christopher J and Smith, Nicholas L and Strachan, David P and Dehghan, Abbas} } @article {7343, title = {Comparison of HapMap and 1000 Genomes Reference Panels in a Large-Scale Genome-Wide Association Study.}, journal = {PLoS One}, volume = {12}, year = {2017}, month = {2017}, pages = {e0167742}, abstract = {

An increasing number of genome-wide association (GWA) studies are now using the higher resolution 1000 Genomes Project reference panel (1000G) for imputation, with the expectation that 1000G imputation will lead to the discovery of additional associated loci when compared to HapMap imputation. In order to assess the improvement of 1000G over HapMap imputation in identifying associated loci, we compared the results of GWA studies of circulating fibrinogen based on the two reference panels. Using both HapMap and 1000G imputation we performed a meta-analysis of 22 studies comprising the same 91,953 individuals. We identified six additional signals using 1000G imputation, while 29 loci were associated using both HapMap and 1000G imputation. One locus identified using HapMap imputation was not significant using 1000G imputation. The genome-wide significance threshold of 5{\texttimes}10-8 is based on the number of independent statistical tests using HapMap imputation, and 1000G imputation may lead to further independent tests that should be corrected for. When using a stricter Bonferroni correction for the 1000G GWA study (P-value < 2.5{\texttimes}10-8), the number of loci significant only using HapMap imputation increased to 4 while the number of loci significant only using 1000G decreased to 5. In conclusion, 1000G imputation enabled the identification of 20\% more loci than HapMap imputation, although the advantage of 1000G imputation became less clear when a stricter Bonferroni correction was used. More generally, our results provide insights that are applicable to the implementation of other dense reference panels that are under development.

}, issn = {1932-6203}, doi = {10.1371/journal.pone.0167742}, author = {de Vries, Paul S and Sabater-Lleal, Maria and Chasman, Daniel I and Trompet, Stella and Ahluwalia, Tarunveer S and Teumer, Alexander and Kleber, Marcus E and Chen, Ming-Huei and Wang, Jie Jin and Attia, John R and Marioni, Riccardo E and Steri, Maristella and Weng, Lu-Chen and Pool, Rene and Grossmann, Vera and Brody, Jennifer A and Venturini, Cristina and Tanaka, Toshiko and Rose, Lynda M and Oldmeadow, Christopher and Mazur, Johanna and Basu, Saonli and Fr{\r a}nberg, Mattias and Yang, Qiong and Ligthart, Symen and Hottenga, Jouke J and Rumley, Ann and Mulas, Antonella and de Craen, Anton J M and Grotevendt, Anne and Taylor, Kent D and Delgado, Graciela E and Kifley, Annette and Lopez, Lorna M and Berentzen, Tina L and Mangino, Massimo and Bandinelli, Stefania and Morrison, Alanna C and Hamsten, Anders and Tofler, Geoffrey and de Maat, Moniek P M and Draisma, Harmen H M and Lowe, Gordon D and Zoledziewska, Magdalena and Sattar, Naveed and Lackner, Karl J and V{\"o}lker, Uwe and McKnight, Barbara and Huang, Jie and Holliday, Elizabeth G and McEvoy, Mark A and Starr, John M and Hysi, Pirro G and Hernandez, Dena G and Guan, Weihua and Rivadeneira, Fernando and McArdle, Wendy L and Slagboom, P Eline and Zeller, Tanja and Psaty, Bruce M and Uitterlinden, Andr{\'e} G and de Geus, Eco J C and Stott, David J and Binder, Harald and Hofman, Albert and Franco, Oscar H and Rotter, Jerome I and Ferrucci, Luigi and Spector, Tim D and Deary, Ian J and M{\"a}rz, Winfried and Greinacher, Andreas and Wild, Philipp S and Cucca, Francesco and Boomsma, Dorret I and Watkins, Hugh and Tang, Weihong and Ridker, Paul M and Jukema, Jan W and Scott, Rodney J and Mitchell, Paul and Hansen, Torben and O{\textquoteright}Donnell, Christopher J and Smith, Nicholas L and Strachan, David P and Dehghan, Abbas} } @article {7924, title = {Genome-Wide Association Trans-Ethnic Meta-Analyses Identifies Novel Associations Regulating Coagulation Factor VIII and von Willebrand Factor Plasma Levels.}, journal = {Circulation}, year = {2018}, month = {2018 Nov 20}, abstract = {

BACKGROUND: Factor VIII (FVIII) and its carrier protein von Willebrand factor (VWF) are associated with risk of arterial and venous thrombosis and with hemorrhagic disorders. We aimed to identify and functionally test novel genetic associations regulating plasma FVIII and VWF.

METHODS: We meta-analyzed genome-wide association results from 46,354 individuals of European, African, East Asian, and Hispanic ancestry. All studies performed linear regression analysis using an additive genetic model and associated approximately 35 million imputed variants with natural-log transformed phenotype levels. In vitro gene silencing in cultured endothelial cells was performed for candidate genes to provide additional evidence on association and function. Two-sample Mendelian randomization (MR) analyses were applied to test the causal role of FVIII and VWF plasma levels on the risk of arterial and venous thrombotic events.

RESULTS: We identified 13 novel genome-wide significant (p<=2.5x10) associations; 7 with FVIII levels ( FCHO2/TMEM171/TNPO1, HLA, SOX17/RP1, LINC00583/NFIB, RAB5C-KAT2A, RPL3/TAB1/SYNGR1, and ARSA) and 11 with VWF levels ( PDHB/PXK/KCTD6, SLC39A8, FCHO2/TMEM171/TNPO1, HLA, GIMAP7/GIMAP4, OR13C5/NIPSNAP, DAB2IP, C2CD4B, RAB5C-KAT2A, TAB1/SYNGR1, and ARSA), beyond 10 previously reported associations with these phenotypes. Functional validation provided further evidence of association for all loci on VWF except ARSA and DAB2IP. MR suggested causal effects of plasma FVIII activity levels on venous thrombosis and coronary artery disease risk and plasma VWF levels on ischemic stroke risk.

CONCLUSIONS: The meta-analysis identified 13 novel genetic loci regulating FVIII and VWF plasma levels, 10 of which we validated functionally. We provide some evidence for a causal role of these proteins in thrombotic events.

}, issn = {1524-4539}, doi = {10.1161/CIRCULATIONAHA.118.034532}, author = {Sabater-Lleal, Maria and Huffman, Jennifer E and de Vries, Paul S and Marten, Jonathan and Mastrangelo, Michael A and Song, Ci and Pankratz, Nathan and Ward-Caviness, Cavin K and Yanek, Lisa R and Trompet, Stella and Delgado, Graciela E and Guo, Xiuqing and Bartz, Traci M and Martinez-Perez, Angel and Germain, Marine and de Haan, Hugoline G and Ozel, Ayse B and Polasek, Ozren and Smith, Albert V and Eicher, John D and Reiner, Alex P and Tang, Weihong and Davies, Neil M and Stott, David J and Rotter, Jerome I and Tofler, Geoffrey H and Boerwinkle, Eric and de Maat, Moniek P M and Kleber, Marcus E and Welsh, Paul and Brody, Jennifer A and Chen, Ming-Huei and Vaidya, Dhananjay and Soria, Jos{\'e} Manuel and Suchon, Pierre and van Hylckama Vlieg, Astrid and Desch, Karl C and Kolcic, Ivana and Joshi, Peter K and Launer, Lenore J and Harris, Tamara B and Campbell, Harry and Rudan, Igor and Becker, Diane M and Li, Jun Z and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Hofman, Albert and Franco, Oscar H and Cushman, Mary and Psaty, Bruce M and Morange, Pierre-Emmanuel and McKnight, Barbara and Chong, Michael R and Fernandez-Cadenas, Israel and Rosand, Jonathan and Lindgren, Arne and Gudnason, Vilmundur and Wilson, James F and Hayward, Caroline and Ginsburg, David and Fornage, Myriam and Rosendaal, Frits R and Souto, Juan Carlos and Becker, Lewis C and Jenny, Nancy S and M{\"a}rz, Winfried and Jukema, J Wouter and Dehghan, Abbas and Tr{\'e}gou{\"e}t, David-Alexandre and Morrison, Alanna C and Johnson, Andrew D and O{\textquoteright}Donnell, Christopher J and Strachan, David P and Lowenstein, Charles J and Smith, Nicholas L} } @article {7988, title = {A genome-wide association study identifies new loci for factor VII and implicates factor VII in ischemic stroke etiology.}, journal = {Blood}, volume = {133}, year = {2019}, month = {2019 Feb 28}, pages = {967-977}, abstract = {

Factor VII (FVII) is an important component of the coagulation cascade. Few genetic loci regulating FVII activity and/or levels have been discovered to date. We conducted a meta-analysis of 9 genome-wide association studies of plasma FVII levels (7 FVII activity and 2 FVII antigen) among 27 495 participants of European and African ancestry. Each study performed ancestry-specific association analyses. Inverse variance weighted meta-analysis was performed within each ancestry group and then combined for a -ancestry meta-analysis. Our primary analysis included the 7 studies that measured FVII activity, and a secondary analysis included all 9 studies. We provided functional genomic validation for newly identified significant loci by silencing candidate genes in a human liver cell line (HuH7) using small-interfering RNA and then measuring messenger RNA and FVII protein expression. Lastly, we used meta-analysis results to perform Mendelian randomization analysis to estimate the causal effect of FVII activity on coronary artery disease, ischemic stroke (IS), and venous thromboembolism. We identified 2 novel ( and ) and 6 known loci associated with FVII activity, explaining 19.0\% of the phenotypic variance. Adding FVII antigen data to the meta-analysis did not result in the discovery of further loci. Silencing in HuH7 cells upregulated FVII, whereas silencing downregulated FVII. Mendelian randomization analyses suggest that FVII activity has a positive causal effect on the risk of IS. Variants at and contribute to FVII activity by regulating expression levels. FVII activity appears to contribute to the etiology of IS in the general population.

}, issn = {1528-0020}, doi = {10.1182/blood-2018-05-849240}, author = {de Vries, Paul S and Sabater-Lleal, Maria and Huffman, Jennifer E and Marten, Jonathan and Song, Ci and Pankratz, Nathan and Bartz, Traci M and de Haan, Hugoline G and Delgado, Graciela E and Eicher, John D and Martinez-Perez, Angel and Ward-Caviness, Cavin K and Brody, Jennifer A and Chen, Ming-Huei and de Maat, Moniek P M and Fr{\r a}nberg, Mattias and Gill, Dipender and Kleber, Marcus E and Rivadeneira, Fernando and Soria, Jos{\'e} Manuel and Tang, Weihong and Tofler, Geoffrey H and Uitterlinden, Andr{\'e} G and van Hylckama Vlieg, Astrid and Seshadri, Sudha and Boerwinkle, Eric and Davies, Neil M and Giese, Anne-Katrin and Ikram, M Kamran and Kittner, Steven J and McKnight, Barbara and Psaty, Bruce M and Reiner, Alex P and Sargurupremraj, Muralidharan and Taylor, Kent D and Fornage, Myriam and Hamsten, Anders and M{\"a}rz, Winfried and Rosendaal, Frits R and Souto, Juan Carlos and Dehghan, Abbas and Johnson, Andrew D and Morrison, Alanna C and O{\textquoteright}Donnell, Christopher J and Smith, Nicholas L} } @article {8050, title = {Mendelian randomization evaluation of causal effects of fibrinogen on incident coronary heart disease.}, journal = {PLoS One}, volume = {14}, year = {2019}, month = {2019}, pages = {e0216222}, abstract = {

BACKGROUND: Fibrinogen is an essential hemostatic factor and cardiovascular disease risk factor. Early attempts at evaluating the causal effect of fibrinogen on coronary heart disease (CHD) and myocardial infraction (MI) using Mendelian randomization (MR) used single variant approaches, and did not take advantage of recent genome-wide association studies (GWAS) or multi-variant, pleiotropy robust MR methodologies.

METHODS AND FINDINGS: We evaluated evidence for a causal effect of fibrinogen on both CHD and MI using MR. We used both an allele score approach and pleiotropy robust MR models. The allele score was composed of 38 fibrinogen-associated variants from recent GWAS. Initial analyses using the allele score used a meta-analysis of 11 European-ancestry prospective cohorts, free of CHD and MI at baseline, to examine incidence CHD and MI. We also applied 2 sample MR methods with data from a prevalent CHD and MI GWAS. Results are given in terms of the hazard ratio (HR) or odds ratio (OR), depending on the study design, and associated 95\% confidence interval (CI). In single variant analyses no causal effect of fibrinogen on CHD or MI was observed. In multi-variant analyses using incidence CHD cases and the allele score approach, the estimated causal effect (HR) of a 1 g/L higher fibrinogen concentration was 1.62 (CI = 1.12, 2.36) when using incident cases and the allele score approach. In 2 sample MR analyses that accounted for pleiotropy, the causal estimate (OR) was reduced to 1.18 (CI = 0.98, 1.42) and 1.09 (CI = 0.89, 1.33) in the 2 most precise (smallest CI) models, out of 4 models evaluated. In the 2 sample MR analyses for MI, there was only very weak evidence of a causal effect in only 1 out of 4 models.

CONCLUSIONS: A small causal effect of fibrinogen on CHD is observed using multi-variant MR approaches which account for pleiotropy, but not single variant MR approaches. Taken together, results indicate that even with large sample sizes and multi-variant approaches MR analyses still cannot exclude the null when estimating the causal effect of fibrinogen on CHD, but that any potential causal effect is likely to be much smaller than observed in epidemiological studies.

}, issn = {1932-6203}, doi = {10.1371/journal.pone.0216222}, author = {Ward-Caviness, Cavin K and de Vries, Paul S and Wiggins, Kerri L and Huffman, Jennifer E and Yanek, Lisa R and Bielak, Lawrence F and Giulianini, Franco and Guo, Xiuqing and Kleber, Marcus E and Kacprowski, Tim and Gro{\ss}, Stefan and Petersman, Astrid and Davey Smith, George and Hartwig, Fernando P and Bowden, Jack and Hemani, Gibran and M{\"u}ller-Nuraysid, Martina and Strauch, Konstantin and Koenig, Wolfgang and Waldenberger, Melanie and Meitinger, Thomas and Pankratz, Nathan and Boerwinkle, Eric and Tang, Weihong and Fu, Yi-Ping and Johnson, Andrew D and Song, Ci and de Maat, Moniek P M and Uitterlinden, Andr{\'e} G and Franco, Oscar H and Brody, Jennifer A and McKnight, Barbara and Chen, Yii-Der Ida and Psaty, Bruce M and Mathias, Rasika A and Becker, Diane M and Peyser, Patricia A and Smith, Jennifer A and Bielinski, Suzette J and Ridker, Paul M and Taylor, Kent D and Yao, Jie and Tracy, Russell and Delgado, Graciela and Trompet, Stella and Sattar, Naveed and Jukema, J Wouter and Becker, Lewis C and Kardia, Sharon L R and Rotter, Jerome I and M{\"a}rz, Winfried and D{\"o}rr, Marcus and Chasman, Daniel I and Dehghan, Abbas and O{\textquoteright}Donnell, Christopher J and Smith, Nicholas L and Peters, Annette and Morrison, Alanna C} }