Literature DB >> 23267103

Linkage analysis identifies a locus for plasma von Willebrand factor undetected by genome-wide association.

Karl C Desch1, Ayse B Ozel, David Siemieniak, Yossi Kalish, Jordan A Shavit, Courtney D Thornburg, Anjali A Sharathkumar, Caitlin P McHugh, Cathy C Laurie, Andrew Crenshaw, Daniel B Mirel, Yoonhee Kim, Cheryl D Cropp, Anne M Molloy, Peadar N Kirke, Joan E Bailey-Wilson, Alexander F Wilson, James L Mills, John M Scott, Lawrence C Brody, Jun Z Li, David Ginsburg.   

Abstract

The plasma glycoprotein von Willebrand factor (VWF) exhibits fivefold antigen level variation across the normal human population determined by both genetic and environmental factors. Low levels of VWF are associated with bleeding and elevated levels with increased risk for thrombosis, myocardial infarction, and stroke. To identify additional genetic determinants of VWF antigen levels and to minimize the impact of age and illness-related environmental factors, we performed genome-wide association analysis in two young and healthy cohorts (n = 1,152 and n = 2,310) and identified signals at ABO (P < 7.9E-139) and VWF (P < 5.5E-16), consistent with previous reports. Additionally, linkage analysis based on sibling structure within the cohorts, identified significant signals at chromosome 2q12-2p13 (LOD score 5.3) and at the ABO locus on chromosome 9q34 (LOD score 2.9) that explained 19.2% and 24.5% of the variance in VWF levels, respectively. Given its strong effect, the linkage region on chromosome 2 could harbor a potentially important determinant of bleeding and thrombosis risk. The absence of a chromosome 2 association signal in this or previous association studies suggests a causative gene harboring many genetic variants that are individually rare, but in aggregate common. These results raise the possibility that similar loci could explain a significant portion of the "missing heritability" for other complex genetic traits.

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Year:  2012        PMID: 23267103      PMCID: PMC3545809          DOI: 10.1073/pnas.1219885110

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  48 in total

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Journal:  Atherosclerosis       Date:  2009-08-03       Impact factor: 5.162

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Journal:  J Thromb Haemost       Date:  2010-04-16       Impact factor: 5.824

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Authors:  Renske G Wieberdink; Marianne C van Schie; Peter J Koudstaal; Albert Hofman; Jacqueline C M Witteman; Moniek P M de Maat; Frank W G Leebeek; Monique M B Breteler
Journal:  Stroke       Date:  2010-08-26       Impact factor: 7.914

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Review 9.  Finding the missing heritability of complex diseases.

Authors:  Teri A Manolio; Francis S Collins; Nancy J Cox; David B Goldstein; Lucia A Hindorff; David J Hunter; Mark I McCarthy; Erin M Ramos; Lon R Cardon; Aravinda Chakravarti; Judy H Cho; Alan E Guttmacher; Augustine Kong; Leonid Kruglyak; Elaine Mardis; Charles N Rotimi; Montgomery Slatkin; David Valle; Alice S Whittemore; Michael Boehnke; Andrew G Clark; Evan E Eichler; Greg Gibson; Jonathan L Haines; Trudy F C Mackay; Steven A McCarroll; Peter M Visscher
Journal:  Nature       Date:  2009-10-08       Impact factor: 49.962

10.  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.

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Journal:  Circulation       Date:  2010-03-15       Impact factor: 29.690

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  46 in total

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3.  A von Willebrand factor fragment containing the D'D3 domains is sufficient to stabilize coagulation factor VIII in mice.

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4.  Genome-wide studies of von Willebrand factor propeptide identify loci contributing to variation in propeptide levels and von Willebrand factor clearance.

Authors:  A B Ozel; B McGee; D Siemieniak; P M Jacobi; S L Haberichter; L C Brody; J L Mills; A M Molloy; D Ginsburg; J Z Li; K C Desch
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Journal:  J Am Soc Nephrol       Date:  2018-09-14       Impact factor: 10.121

Review 6.  Diagnostic approach to von Willebrand disease.

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7.  iFunMed: Integrative functional mediation analysis of GWAS and eQTL studies.

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10.  Tissue-specific RNA-Seq in human evoked inflammation identifies blood and adipose LincRNA signatures of cardiometabolic diseases.

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