Literature DB >> 12871272

Novel family-based approaches to genetic risk in thrombosis.

J Blangero1, J T Williams, L Almasy.   

Abstract

The genetic basis of thrombosis is complex, involving multiple genes and environmental factors. The field of common complex disease genetics has progressed enormously over the past 10 years with the development of powerful new molecular and analytical strategies that enable localization and identification of the causative genetic variants. During the course of these advances, a major paradigmatic change has been taking place that focuses on the genetic analysis of measurable quantitative traits that are correlated with disease risk vs. the previous emphasis on the analysis of the much less informative dichotomous disease trait. Because of their closer proximity to direct gene action, disease-related quantitative phenotypes represent our best chance to identify the underlying quantitative trait loci (QTLs) that influence disease susceptibility. This approach works best when data can be collected on extended families. Unfortunately, family-based designs are still relatively rare in thrombosis/hemostasis studies. In this review, we detail the reasons why the field would benefit from a more vigorous pursuit of modern family-based genetic studies.

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Year:  2003        PMID: 12871272     DOI: 10.1046/j.1538-7836.2003.00310.x

Source DB:  PubMed          Journal:  J Thromb Haemost        ISSN: 1538-7836            Impact factor:   5.824


  36 in total

1.  Whole brain and regional hyperintense white matter volume and blood pressure: overlap of genetic loci produced by bivariate, whole-genome linkage analyses.

Authors:  Peter Kochunov; David Glahn; Jack Lancaster; Anderson Winkler; Jack W Kent; Rene L Olvera; Shelley A Cole; Thomas D Dyer; Laura Almasy; Ravi Duggirala; Peter T Fox; John Blangero
Journal:  Stroke       Date:  2010-08-19       Impact factor: 7.914

Review 2.  The role of phenotype in gene discovery in the whole genome sequencing era.

Authors:  Laura Almasy
Journal:  Hum Genet       Date:  2012-06-22       Impact factor: 4.132

3.  Recurrent major depression and right hippocampal volume: A bivariate linkage and association study.

Authors:  Samuel R Mathias; Emma E M Knowles; Jack W Kent; D Reese McKay; Joanne E Curran; Marcio A A de Almeida; Thomas D Dyer; Harald H H Göring; Rene L Olvera; Ravi Duggirala; Peter T Fox; Laura Almasy; John Blangero; David C Glahn
Journal:  Hum Brain Mapp       Date:  2015-10-20       Impact factor: 5.038

Review 4.  Neuroimaging endophenotypes: strategies for finding genes influencing brain structure and function.

Authors:  David C Glahn; Paul M Thompson; John Blangero
Journal:  Hum Brain Mapp       Date:  2007-06       Impact factor: 5.038

5.  Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies.

Authors:  Anderson M Winkler; Peter Kochunov; John Blangero; Laura Almasy; Karl Zilles; Peter T Fox; Ravindranath Duggirala; David C Glahn
Journal:  Neuroimage       Date:  2009-12-16       Impact factor: 6.556

Review 6.  Human QTL linkage mapping.

Authors:  Laura Almasy; John Blangero
Journal:  Genetica       Date:  2008-07-31       Impact factor: 1.082

Review 7.  Use of genetic variation as biomarkers for Alzheimer's disease.

Authors:  Christiane Reitz; Richard Mayeux
Journal:  Ann N Y Acad Sci       Date:  2009-10       Impact factor: 5.691

Review 8.  Arguments for the sake of endophenotypes: examining common misconceptions about the use of endophenotypes in psychiatric genetics.

Authors:  David C Glahn; Emma E M Knowles; D Reese McKay; Emma Sprooten; Henriette Raventós; John Blangero; Irving I Gottesman; Laura Almasy
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2014-01-24       Impact factor: 3.568

9.  Genome-wide linkage using the Social Responsiveness Scale in Utah autism pedigrees.

Authors:  Hilary Coon; Michele E Villalobos; Reid J Robison; Nicola J Camp; Dale S Cannon; Kristina Allen-Brady; Judith S Miller; William M McMahon
Journal:  Mol Autism       Date:  2010-04-08       Impact factor: 7.509

10.  Influence of age, sex and genetic factors on the human brain.

Authors:  D Reese McKay; Emma E M Knowles; Anderson A M Winkler; Emma Sprooten; Peter Kochunov; Rene L Olvera; Joanne E Curran; Jack W Kent; Melanie A Carless; Harald H H Göring; Thomas D Dyer; Ravi Duggirala; Laura Almasy; Peter T Fox; John Blangero; David C Glahn
Journal:  Brain Imaging Behav       Date:  2014-06       Impact factor: 3.978

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