INTRODUCTION: Susceptibility to arterial thrombosis has a significant genetic component that is partly due to the expression of two proteins, tissue-type plasminogen activator (t-PA) and plasminogen activator inhibitor-1 (PAI-1), that directly influence thrombus formation and degradation. We have initiated a large-scale population-based study to characterize the genetic architecture of plasma t-PA and PAI-1 in Blacks from Sunyani, Ghana. DESIGN: The design of the study is based on the recruitment of 2000 unrelated subjects who are ascertained without regard to chronic disease status. The analyses of the results will be done by dividing the data into two parts, a modeling set and a validation data set. This study design will facilitate the identification of genetic, environmental, and demographic factors that contribute to inter-individual variation in plasma levels of t-PA and PAI-1 in the population at-large. RESULTS: We report the specifics of the study design, as well as phenotype information on the first 1000 subjects. Our results show that females and males differ significantly in several key measures, including PAI-1, BMI, total cholesterol, and systolic blood pressure. CONCLUSIONS: The data collected from this population-based study demonstrate significant sex differences in PAI-1 and critical factors that may influence risk of thrombosis. These samples will serve to inform the genetic analyses of t-PA and PAI- levels.
INTRODUCTION: Susceptibility to arterial thrombosis has a significant genetic component that is partly due to the expression of two proteins, tissue-type plasminogen activator (t-PA) and plasminogen activator inhibitor-1 (PAI-1), that directly influence thrombus formation and degradation. We have initiated a large-scale population-based study to characterize the genetic architecture of plasma t-PA and PAI-1 in Blacks from Sunyani, Ghana. DESIGN: The design of the study is based on the recruitment of 2000 unrelated subjects who are ascertained without regard to chronic disease status. The analyses of the results will be done by dividing the data into two parts, a modeling set and a validation data set. This study design will facilitate the identification of genetic, environmental, and demographic factors that contribute to inter-individual variation in plasma levels of t-PA and PAI-1 in the population at-large. RESULTS: We report the specifics of the study design, as well as phenotype information on the first 1000 subjects. Our results show that females and males differ significantly in several key measures, including PAI-1, BMI, total cholesterol, and systolic blood pressure. CONCLUSIONS: The data collected from this population-based study demonstrate significant sex differences in PAI-1 and critical factors that may influence risk of thrombosis. These samples will serve to inform the genetic analyses of t-PA and PAI- levels.
Authors: Nuri Kodaman; Rafal S Sobota; Folkert W Asselbergs; Matthew T Oetjens; Jason H Moore; Nancy J Brown; Melinda C Aldrich; Scott M Williams Journal: Glob Heart Date: 2017-04-10
Authors: Emmanuel K Peprah; Emily G Allen; Scott M Williams; Laresa M Woodard; Stephanie L Sherman Journal: Ann Hum Genet Date: 2010-07 Impact factor: 1.670
Authors: J A Schoenhard; F W Asselbergs; K A Poku; S A Stocki; S Gordon; D E Vaughan; N J Brown; J H Moore; Scott M Williams Journal: Hum Genet Date: 2008-10-25 Impact factor: 4.132
Authors: Saba Sile; Digna R Velez; Niloufar B Gillani; Tinatin Narsia; Jason H Moore; Alfred L George; Carlos G Vanoye; Scott M Williams Journal: J Hypertens Date: 2009-02 Impact factor: 4.844
Authors: Giorgio Sirugo; Branwen J Hennig; Adebowale A Adeyemo; Alice Matimba; Melanie J Newport; Muntaser E Ibrahim; Kelli K Ryckman; Alessandra Tacconelli; Renato Mariani-Costantini; Giuseppe Novelli; Himla Soodyall; Charles N Rotimi; Raj S Ramesar; Sarah A Tishkoff; Scott M Williams Journal: Hum Genet Date: 2008-05-30 Impact factor: 4.132
Authors: Nadia M Penrod; Kwabena A Poku; Douglas E Vaughan; Douglas E Vaughn; Folkert W Asselbergs; Nancy J Brown; Jason H Moore; Scott M Williams Journal: PLoS One Date: 2011-01-31 Impact factor: 3.240
Authors: Nuri Kodaman; Melinda C Aldrich; Rafal Sobota; Folkert W Asselbergs; Kwabena A Poku; Nancy J Brown; Jason H Moore; Scott M Williams Journal: PLoS One Date: 2016-10-12 Impact factor: 3.240
Authors: Peter Simons; Yan Guo; Virginie Bondu; Susan L Tigert; Michelle Harkins; Samuel Goodfellow; Cana Tompkins; Devon Chabot-Richards; Xuexian O Yang; Laura Gonzalez Bosc; Steven Bradfute; Daniel A Lawrence; Tione Buranda Journal: Viruses Date: 2021-08-12 Impact factor: 5.048
Authors: Marquitta J White; Nuri M Kodaman; Reed H Harder; Folkert W Asselbergs; Douglas E Vaughan; Nancy J Brown; Jason H Moore; Scott M Williams Journal: PLoS One Date: 2015-08-31 Impact factor: 3.240