TY - JOUR T1 - 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. JF - Circulation Y1 - 2010 A1 - Smith, Nicholas L A1 - Chen, Ming-Huei A1 - Dehghan, Abbas A1 - Strachan, David P A1 - Basu, Saonli A1 - Soranzo, Nicole A1 - Hayward, Caroline A1 - Rudan, Igor A1 - Sabater-Lleal, Maria A1 - Bis, Joshua C A1 - de Maat, Moniek P M A1 - Rumley, Ann A1 - Kong, Xiaoxiao A1 - Yang, Qiong A1 - Williams, Frances M K A1 - Vitart, Veronique A1 - Campbell, Harry A1 - Mälarstig, Anders A1 - Wiggins, Kerri L A1 - van Duijn, Cornelia M A1 - McArdle, Wendy L A1 - Pankow, James S A1 - Johnson, Andrew D A1 - Silveira, Angela A1 - McKnight, Barbara A1 - Uitterlinden, André G A1 - Aleksic, Nena A1 - Meigs, James B A1 - Peters, Annette A1 - Koenig, Wolfgang A1 - Cushman, Mary A1 - Kathiresan, Sekar A1 - Rotter, Jerome I A1 - Bovill, Edwin G A1 - Hofman, Albert A1 - Boerwinkle, Eric A1 - Tofler, Geoffrey H A1 - Peden, John F A1 - Psaty, Bruce M A1 - Leebeek, Frank A1 - Folsom, Aaron R A1 - Larson, Martin G A1 - Spector, Timothy D A1 - Wright, Alan F A1 - Wilson, James F A1 - Hamsten, Anders A1 - Lumley, Thomas A1 - Witteman, Jacqueline C M A1 - Tang, Weihong A1 - O'Donnell, Christopher J KW - Adult KW - Factor VII KW - Factor VIII KW - Female KW - Genome-Wide Association Study KW - Hemostasis KW - Humans KW - Male KW - Middle Aged KW - Phenotype KW - Polymorphism, Single Nucleotide KW - Thrombosis KW - von Willebrand Factor AB -

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.

VL - 121 IS - 12 U1 - http://www.ncbi.nlm.nih.gov/pubmed/20231535?dopt=Abstract ER - TY - JOUR T1 - 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. JF - PLoS One Y1 - 2014 A1 - Baumert, Jens A1 - Huang, Jie A1 - McKnight, Barbara A1 - Sabater-Lleal, Maria A1 - Steri, Maristella A1 - Chu, Audrey Y A1 - Trompet, Stella A1 - Lopez, Lorna M A1 - Fornage, Myriam A1 - Teumer, Alexander A1 - Tang, Weihong A1 - Rudnicka, Alicja R A1 - Mälarstig, Anders A1 - Hottenga, Jouke-Jan A1 - Kavousi, Maryam A1 - Lahti, Jari A1 - Tanaka, Toshiko A1 - Hayward, Caroline A1 - Huffman, Jennifer E A1 - Morange, Pierre-Emmanuel A1 - Rose, Lynda M A1 - Basu, Saonli A1 - Rumley, Ann A1 - Stott, David J A1 - Buckley, Brendan M A1 - de Craen, Anton J M A1 - Sanna, Serena A1 - Masala, Marco A1 - Biffar, Reiner A1 - Homuth, Georg A1 - Silveira, Angela A1 - Sennblad, Bengt A1 - Goel, Anuj A1 - Watkins, Hugh A1 - Müller-Nurasyid, Martina A1 - Rückerl, Regina A1 - Taylor, Kent A1 - Chen, Ming-Huei A1 - de Geus, Eco J C A1 - Hofman, Albert A1 - Witteman, Jacqueline C M A1 - de Maat, Moniek P M A1 - Palotie, Aarno A1 - Davies, Gail A1 - Siscovick, David S A1 - Kolcic, Ivana A1 - Wild, Sarah H A1 - Song, Jaejoon A1 - McArdle, Wendy L A1 - Ford, Ian A1 - Sattar, Naveed A1 - Schlessinger, David A1 - Grotevendt, Anne A1 - Franzosi, Maria Grazia A1 - Illig, Thomas A1 - Waldenberger, Melanie A1 - Lumley, Thomas A1 - Tofler, Geoffrey H A1 - Willemsen, Gonneke A1 - Uitterlinden, André G A1 - Rivadeneira, Fernando A1 - Räikkönen, Katri A1 - Chasman, Daniel I A1 - Folsom, Aaron R A1 - Lowe, Gordon D A1 - Westendorp, Rudi G J A1 - Slagboom, P Eline A1 - Cucca, Francesco A1 - Wallaschofski, Henri A1 - Strawbridge, Rona J A1 - Seedorf, Udo A1 - Koenig, Wolfgang A1 - Bis, Joshua C A1 - Mukamal, Kenneth J A1 - van Dongen, Jenny A1 - Widen, Elisabeth A1 - Franco, Oscar H A1 - Starr, John M A1 - Liu, Kiang A1 - Ferrucci, Luigi A1 - Polasek, Ozren A1 - Wilson, James F A1 - Oudot-Mellakh, Tiphaine A1 - Campbell, Harry A1 - Navarro, Pau A1 - Bandinelli, Stefania A1 - Eriksson, Johan A1 - Boomsma, Dorret I A1 - Dehghan, Abbas A1 - Clarke, Robert A1 - Hamsten, Anders A1 - Boerwinkle, Eric A1 - Jukema, J Wouter A1 - Naitza, Silvia A1 - Ridker, Paul M A1 - Völzke, Henry A1 - Deary, Ian J A1 - Reiner, Alexander P A1 - Trégouët, David-Alexandre A1 - O'Donnell, Christopher J A1 - Strachan, David P A1 - Peters, Annette A1 - Smith, Nicholas L KW - Alcohol Drinking KW - Body Mass Index KW - Fibrinogen KW - Gene-Environment Interaction KW - Genomics KW - Humans KW - Smoking AB -

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 × 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.

VL - 9 IS - 12 U1 - http://www.ncbi.nlm.nih.gov/pubmed/25551457?dopt=Abstract ER - TY - JOUR T1 - Rare and low-frequency variants and their association with plasma levels of fibrinogen, FVII, FVIII, and vWF. JF - Blood Y1 - 2015 A1 - Huffman, Jennifer E A1 - de Vries, Paul S A1 - Morrison, Alanna C A1 - Sabater-Lleal, Maria A1 - Kacprowski, Tim A1 - Auer, Paul L A1 - Brody, Jennifer A A1 - Chasman, Daniel I A1 - Chen, Ming-Huei A1 - Guo, Xiuqing A1 - Lin, Li-An A1 - Marioni, Riccardo E A1 - Müller-Nurasyid, Martina A1 - Yanek, Lisa R A1 - Pankratz, Nathan A1 - Grove, Megan L A1 - de Maat, Moniek P M A1 - Cushman, Mary A1 - Wiggins, Kerri L A1 - Qi, Lihong A1 - Sennblad, Bengt A1 - Harris, Sarah E A1 - Polasek, Ozren A1 - Riess, Helene A1 - Rivadeneira, Fernando A1 - Rose, Lynda M A1 - Goel, Anuj A1 - Taylor, Kent D A1 - Teumer, Alexander A1 - Uitterlinden, André G A1 - Vaidya, Dhananjay A1 - Yao, Jie A1 - Tang, Weihong A1 - Levy, Daniel A1 - Waldenberger, Melanie A1 - Becker, Diane M A1 - Folsom, Aaron R A1 - Giulianini, Franco A1 - Greinacher, Andreas A1 - Hofman, Albert A1 - Huang, Chiang-Ching A1 - Kooperberg, Charles A1 - Silveira, Angela A1 - Starr, John M A1 - Strauch, Konstantin A1 - Strawbridge, Rona J A1 - Wright, Alan F A1 - McKnight, Barbara A1 - Franco, Oscar H A1 - Zakai, Neil A1 - Mathias, Rasika A A1 - Psaty, Bruce M A1 - Ridker, Paul M A1 - Tofler, Geoffrey H A1 - Völker, Uwe A1 - Watkins, Hugh A1 - Fornage, Myriam A1 - Hamsten, Anders A1 - Deary, Ian J A1 - Boerwinkle, Eric A1 - Koenig, Wolfgang A1 - Rotter, Jerome I A1 - Hayward, Caroline A1 - Dehghan, Abbas A1 - Reiner, Alex P A1 - O'Donnell, Christopher J A1 - Smith, Nicholas L KW - Cohort Studies KW - Factor VII KW - Factor VIII KW - Fibrinogen KW - Gene Frequency KW - Genetic Association Studies KW - Genetic Variation KW - Humans KW - Nerve Tissue Proteins KW - Polymorphism, Single Nucleotide KW - Potassium Channels KW - von Willebrand Factor AB -

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.

VL - 126 IS - 11 U1 - http://www.ncbi.nlm.nih.gov/pubmed/26105150?dopt=Abstract ER - TY - JOUR T1 - A meta-analysis of 120 246 individuals identifies 18 new loci for fibrinogen concentration. JF - Hum Mol Genet Y1 - 2016 A1 - de Vries, Paul S A1 - Chasman, Daniel I A1 - Sabater-Lleal, Maria A1 - Chen, Ming-Huei A1 - Huffman, Jennifer E A1 - Steri, Maristella A1 - Tang, Weihong A1 - Teumer, Alexander A1 - Marioni, Riccardo E A1 - Grossmann, Vera A1 - Hottenga, Jouke J A1 - Trompet, Stella A1 - Müller-Nurasyid, Martina A1 - Zhao, Jing Hua A1 - Brody, Jennifer A A1 - Kleber, Marcus E A1 - Guo, Xiuqing A1 - Wang, Jie Jin A1 - Auer, Paul L A1 - Attia, John R A1 - Yanek, Lisa R A1 - Ahluwalia, Tarunveer S A1 - Lahti, Jari A1 - Venturini, Cristina A1 - Tanaka, Toshiko A1 - Bielak, Lawrence F A1 - Joshi, Peter K A1 - Rocanin-Arjo, Ares A1 - Kolcic, Ivana A1 - Navarro, Pau A1 - Rose, Lynda M A1 - Oldmeadow, Christopher A1 - Riess, Helene A1 - Mazur, Johanna A1 - Basu, Saonli A1 - Goel, Anuj A1 - Yang, Qiong A1 - Ghanbari, Mohsen A1 - Willemsen, Gonneke A1 - Rumley, Ann A1 - Fiorillo, Edoardo A1 - de Craen, Anton J M A1 - Grotevendt, Anne A1 - Scott, Robert A1 - Taylor, Kent D A1 - Delgado, Graciela E A1 - Yao, Jie A1 - Kifley, Annette A1 - Kooperberg, Charles A1 - Qayyum, Rehan A1 - Lopez, Lorna M A1 - Berentzen, Tina L A1 - Räikkönen, Katri A1 - Mangino, Massimo A1 - Bandinelli, Stefania A1 - Peyser, Patricia A A1 - Wild, Sarah A1 - Trégouët, David-Alexandre A1 - Wright, Alan F A1 - Marten, Jonathan A1 - Zemunik, Tatijana A1 - Morrison, Alanna C A1 - Sennblad, Bengt A1 - Tofler, Geoffrey A1 - de Maat, Moniek P M A1 - de Geus, Eco J C A1 - Lowe, Gordon D A1 - Zoledziewska, Magdalena A1 - Sattar, Naveed A1 - Binder, Harald A1 - Völker, Uwe A1 - Waldenberger, Melanie A1 - Khaw, Kay-Tee A1 - McKnight, Barbara A1 - Huang, Jie A1 - Jenny, Nancy S A1 - Holliday, Elizabeth G A1 - Qi, Lihong A1 - Mcevoy, Mark G A1 - Becker, Diane M A1 - Starr, John M A1 - Sarin, Antti-Pekka A1 - Hysi, Pirro G A1 - Hernandez, Dena G A1 - Jhun, Min A A1 - Campbell, Harry A1 - Hamsten, Anders A1 - Rivadeneira, Fernando A1 - McArdle, Wendy L A1 - Slagboom, P Eline A1 - Zeller, Tanja A1 - Koenig, Wolfgang A1 - Psaty, Bruce M A1 - Haritunians, Talin A1 - Liu, Jingmin A1 - Palotie, Aarno A1 - Uitterlinden, André G A1 - Stott, David J A1 - Hofman, Albert A1 - Franco, Oscar H A1 - Polasek, Ozren A1 - Rudan, Igor A1 - Morange, Pierre-Emmanuel A1 - Wilson, James F A1 - Kardia, Sharon L R A1 - Ferrucci, Luigi A1 - Spector, Tim D A1 - Eriksson, Johan G A1 - Hansen, Torben A1 - Deary, Ian J A1 - Becker, Lewis C A1 - Scott, Rodney J A1 - Mitchell, Paul A1 - März, Winfried A1 - Wareham, Nick J A1 - Peters, Annette A1 - Greinacher, Andreas A1 - Wild, Philipp S A1 - Jukema, J Wouter A1 - Boomsma, Dorret I A1 - Hayward, Caroline A1 - Cucca, Francesco A1 - Tracy, Russell A1 - Watkins, Hugh A1 - Reiner, Alex P A1 - Folsom, Aaron R A1 - Ridker, Paul M A1 - O'Donnell, Christopher J A1 - Smith, Nicholas L A1 - Strachan, David P A1 - Dehghan, Abbas AB -

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.

VL - 25 IS - 2 U1 - http://www.ncbi.nlm.nih.gov/pubmed/26561523?dopt=Abstract ER - TY - JOUR T1 - Comparison of HapMap and 1000 Genomes Reference Panels in a Large-Scale Genome-Wide Association Study. JF - PLoS One Y1 - 2017 A1 - de Vries, Paul S A1 - Sabater-Lleal, Maria A1 - Chasman, Daniel I A1 - Trompet, Stella A1 - Ahluwalia, Tarunveer S A1 - Teumer, Alexander A1 - Kleber, Marcus E A1 - Chen, Ming-Huei A1 - Wang, Jie Jin A1 - Attia, John R A1 - Marioni, Riccardo E A1 - Steri, Maristella A1 - Weng, Lu-Chen A1 - Pool, Rene A1 - Grossmann, Vera A1 - Brody, Jennifer A A1 - Venturini, Cristina A1 - Tanaka, Toshiko A1 - Rose, Lynda M A1 - Oldmeadow, Christopher A1 - Mazur, Johanna A1 - Basu, Saonli A1 - Frånberg, Mattias A1 - Yang, Qiong A1 - Ligthart, Symen A1 - Hottenga, Jouke J A1 - Rumley, Ann A1 - Mulas, Antonella A1 - de Craen, Anton J M A1 - Grotevendt, Anne A1 - Taylor, Kent D A1 - Delgado, Graciela E A1 - Kifley, Annette A1 - Lopez, Lorna M A1 - Berentzen, Tina L A1 - Mangino, Massimo A1 - Bandinelli, Stefania A1 - Morrison, Alanna C A1 - Hamsten, Anders A1 - Tofler, Geoffrey A1 - de Maat, Moniek P M A1 - Draisma, Harmen H M A1 - Lowe, Gordon D A1 - Zoledziewska, Magdalena A1 - Sattar, Naveed A1 - Lackner, Karl J A1 - Völker, Uwe A1 - McKnight, Barbara A1 - Huang, Jie A1 - Holliday, Elizabeth G A1 - McEvoy, Mark A A1 - Starr, John M A1 - Hysi, Pirro G A1 - Hernandez, Dena G A1 - Guan, Weihua A1 - Rivadeneira, Fernando A1 - McArdle, Wendy L A1 - Slagboom, P Eline A1 - Zeller, Tanja A1 - Psaty, Bruce M A1 - Uitterlinden, André G A1 - de Geus, Eco J C A1 - Stott, David J A1 - Binder, Harald A1 - Hofman, Albert A1 - Franco, Oscar H A1 - Rotter, Jerome I A1 - Ferrucci, Luigi A1 - Spector, Tim D A1 - Deary, Ian J A1 - März, Winfried A1 - Greinacher, Andreas A1 - Wild, Philipp S A1 - Cucca, Francesco A1 - Boomsma, Dorret I A1 - Watkins, Hugh A1 - Tang, Weihong A1 - Ridker, Paul M A1 - Jukema, Jan W A1 - Scott, Rodney J A1 - Mitchell, Paul A1 - Hansen, Torben A1 - O'Donnell, Christopher J A1 - Smith, Nicholas L A1 - Strachan, David P A1 - Dehghan, Abbas AB -

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 5×10-8 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 < 2.5×10-8), 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.

VL - 12 IS - 1 ER - TY - JOUR T1 - Genome-Wide Association Trans-Ethnic Meta-Analyses Identifies Novel Associations Regulating Coagulation Factor VIII and von Willebrand Factor Plasma Levels. JF - Circulation Y1 - 2018 A1 - Sabater-Lleal, Maria A1 - Huffman, Jennifer E A1 - de Vries, Paul S A1 - Marten, Jonathan A1 - Mastrangelo, Michael A A1 - Song, Ci A1 - Pankratz, Nathan A1 - Ward-Caviness, Cavin K A1 - Yanek, Lisa R A1 - Trompet, Stella A1 - Delgado, Graciela E A1 - Guo, Xiuqing A1 - Bartz, Traci M A1 - Martinez-Perez, Angel A1 - Germain, Marine A1 - de Haan, Hugoline G A1 - Ozel, Ayse B A1 - Polasek, Ozren A1 - Smith, Albert V A1 - Eicher, John D A1 - Reiner, Alex P A1 - Tang, Weihong A1 - Davies, Neil M A1 - Stott, David J A1 - Rotter, Jerome I A1 - Tofler, Geoffrey H A1 - Boerwinkle, Eric A1 - de Maat, Moniek P M A1 - Kleber, Marcus E A1 - Welsh, Paul A1 - Brody, Jennifer A A1 - Chen, Ming-Huei A1 - Vaidya, Dhananjay A1 - Soria, José Manuel A1 - Suchon, Pierre A1 - van Hylckama Vlieg, Astrid A1 - Desch, Karl C A1 - Kolcic, Ivana A1 - Joshi, Peter K A1 - Launer, Lenore J A1 - Harris, Tamara B A1 - Campbell, Harry A1 - Rudan, Igor A1 - Becker, Diane M A1 - Li, Jun Z A1 - Rivadeneira, Fernando A1 - Uitterlinden, André G A1 - Hofman, Albert A1 - Franco, Oscar H A1 - Cushman, Mary A1 - Psaty, Bruce M A1 - Morange, Pierre-Emmanuel A1 - McKnight, Barbara A1 - Chong, Michael R A1 - Fernandez-Cadenas, Israel A1 - Rosand, Jonathan A1 - Lindgren, Arne A1 - Gudnason, Vilmundur A1 - Wilson, James F A1 - Hayward, Caroline A1 - Ginsburg, David A1 - Fornage, Myriam A1 - Rosendaal, Frits R A1 - Souto, Juan Carlos A1 - Becker, Lewis C A1 - Jenny, Nancy S A1 - März, Winfried A1 - Jukema, J Wouter A1 - Dehghan, Abbas A1 - Trégouët, David-Alexandre A1 - Morrison, Alanna C A1 - Johnson, Andrew D A1 - O'Donnell, Christopher J A1 - Strachan, David P A1 - Lowenstein, Charles J A1 - Smith, Nicholas L AB -

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.

ER - TY - JOUR T1 - A genome-wide association study identifies new loci for factor VII and implicates factor VII in ischemic stroke etiology. JF - Blood Y1 - 2019 A1 - de Vries, Paul S A1 - Sabater-Lleal, Maria A1 - Huffman, Jennifer E A1 - Marten, Jonathan A1 - Song, Ci A1 - Pankratz, Nathan A1 - Bartz, Traci M A1 - de Haan, Hugoline G A1 - Delgado, Graciela E A1 - Eicher, John D A1 - Martinez-Perez, Angel A1 - Ward-Caviness, Cavin K A1 - Brody, Jennifer A A1 - Chen, Ming-Huei A1 - de Maat, Moniek P M A1 - Frånberg, Mattias A1 - Gill, Dipender A1 - Kleber, Marcus E A1 - Rivadeneira, Fernando A1 - Soria, José Manuel A1 - Tang, Weihong A1 - Tofler, Geoffrey H A1 - Uitterlinden, André G A1 - van Hylckama Vlieg, Astrid A1 - Seshadri, Sudha A1 - Boerwinkle, Eric A1 - Davies, Neil M A1 - Giese, Anne-Katrin A1 - Ikram, M Kamran A1 - Kittner, Steven J A1 - McKnight, Barbara A1 - Psaty, Bruce M A1 - Reiner, Alex P A1 - Sargurupremraj, Muralidharan A1 - Taylor, Kent D A1 - Fornage, Myriam A1 - Hamsten, Anders A1 - März, Winfried A1 - Rosendaal, Frits R A1 - Souto, Juan Carlos A1 - Dehghan, Abbas A1 - Johnson, Andrew D A1 - Morrison, Alanna C A1 - O'Donnell, Christopher J A1 - Smith, Nicholas L AB -

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.

VL - 133 IS - 9 ER - TY - JOUR T1 - Mendelian randomization evaluation of causal effects of fibrinogen on incident coronary heart disease. JF - PLoS One Y1 - 2019 A1 - Ward-Caviness, Cavin K A1 - de Vries, Paul S A1 - Wiggins, Kerri L A1 - Huffman, Jennifer E A1 - Yanek, Lisa R A1 - Bielak, Lawrence F A1 - Giulianini, Franco A1 - Guo, Xiuqing A1 - Kleber, Marcus E A1 - Kacprowski, Tim A1 - Groß, Stefan A1 - Petersman, Astrid A1 - Davey Smith, George A1 - Hartwig, Fernando P A1 - Bowden, Jack A1 - Hemani, Gibran A1 - Müller-Nuraysid, Martina A1 - Strauch, Konstantin A1 - Koenig, Wolfgang A1 - Waldenberger, Melanie A1 - Meitinger, Thomas A1 - Pankratz, Nathan A1 - Boerwinkle, Eric A1 - Tang, Weihong A1 - Fu, Yi-Ping A1 - Johnson, Andrew D A1 - Song, Ci A1 - de Maat, Moniek P M A1 - Uitterlinden, André G A1 - Franco, Oscar H A1 - Brody, Jennifer A A1 - McKnight, Barbara A1 - Chen, Yii-Der Ida A1 - Psaty, Bruce M A1 - Mathias, Rasika A A1 - Becker, Diane M A1 - Peyser, Patricia A A1 - Smith, Jennifer A A1 - Bielinski, Suzette J A1 - Ridker, Paul M A1 - Taylor, Kent D A1 - Yao, Jie A1 - Tracy, Russell A1 - Delgado, Graciela A1 - Trompet, Stella A1 - Sattar, Naveed A1 - Jukema, J Wouter A1 - Becker, Lewis C A1 - Kardia, Sharon L R A1 - Rotter, Jerome I A1 - März, Winfried A1 - Dörr, Marcus A1 - Chasman, Daniel I A1 - Dehghan, Abbas A1 - O'Donnell, Christopher J A1 - Smith, Nicholas L A1 - Peters, Annette A1 - Morrison, Alanna C AB -

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.

VL - 14 IS - 5 ER -