HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

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.

AbstractBACKGROUND:
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.
AuthorsNicholas L Smith, Ming-Huei Chen, Abbas Dehghan, David P Strachan, Saonli Basu, Nicole Soranzo, Caroline Hayward, Igor Rudan, Maria Sabater-Lleal, Joshua C Bis, Moniek P M de Maat, Ann Rumley, Xiaoxiao Kong, Qiong Yang, Frances M K Williams, Veronique Vitart, Harry Campbell, Anders Mälarstig, Kerri L Wiggins, Cornelia M Van Duijn, Wendy L McArdle, James S Pankow, Andrew D Johnson, Angela Silveira, Barbara McKnight, Andre G Uitterlinden, Wellcome Trust Case Control Consortium;, Nena Aleksic, James B Meigs, Annette Peters, Wolfgang Koenig, Mary Cushman, Sekar Kathiresan, Jerome I Rotter, Edwin G Bovill, Albert Hofman, Eric Boerwinkle, Geoffrey H Tofler, John F Peden, Bruce M Psaty, Frank Leebeek, Aaron R Folsom, Martin G Larson, Timothy D Spector, Alan F Wright, James F Wilson, Anders Hamsten, Thomas Lumley, Jacqueline C M Witteman, Weihong Tang, Christopher J O'Donnell
JournalCirculation (Circulation) Vol. 121 Issue 12 Pg. 1382-92 (Mar 30 2010) ISSN: 1524-4539 [Electronic] United States
PMID20231535 (Publication Type: Journal Article, Meta-Analysis, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't)
Chemical References
  • von Willebrand Factor
  • Factor VII
  • Factor VIII
Topics
  • Adult
  • Factor VII (analysis, genetics)
  • Factor VIII (analysis, genetics)
  • Female
  • Genome-Wide Association Study
  • Hemostasis (genetics)
  • Humans
  • Male
  • Middle Aged
  • Phenotype
  • Polymorphism, Single Nucleotide
  • Thrombosis (epidemiology, genetics)
  • von Willebrand Factor (analysis, genetics)

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: