Literature DB >> 3440383

Recruitment of members of high-risk Utah pedigrees.

R R Williams, S C Hunt.   

Abstract

Cardiovascular Genetics Research Projects in Utah are designed to investigate genetic and environmental determinants of early coronary disease, stroke, and hypertension in population-based pedigrees. Early coronary disease is defined as the occurrence of documented coronary death or myocardial infarction before age 55. Detailed recruitment experience is reported for 2500 persons age 3-83 years in 98 high-risk pedigrees from three ascertainment groups: 1. Descendants of sibships with two or more stroke deaths before age 75. 2. Descendants of sibships with two or more coronary deaths before age 55. 3. First- and second-degree relatives of hypertensive and normotensive probands randomly selected from the Utah Hypertension Detection and Follow-up Program. A response rate of 94% of invited adults attending the first 4-hour clinic visit for detailed screening in 1980-1983 was achieved by multiple telephone, mail, and personal contacts and rescheduling of missed clinic appointments. For the same participants, a second screening cycle in 1983-1986 showed a 91% response of invited adults. Second visit response rates were examined within subgroups according to data collected at the first clinic visit. Below average response rates included 79% of persons with fewer than 12 years of education, 84% of current smokers, and 86% of divorced persons. Above average response rates included 93% of persons attending college and 95% of persons with total family income above $25,000. There were no differences in response according to sex or age. The average cost of recruitment was $59 per person and represented about 10% of the total budget for the High-Risk Pedigree Project.

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Year:  1987        PMID: 3440383     DOI: 10.1016/0197-2456(87)90013-4

Source DB:  PubMed          Journal:  Control Clin Trials        ISSN: 0197-2456


  7 in total

1.  The epithelial sodium channel γ-subunit gene and blood pressure: family based association, renal gene expression, and physiological analyses.

Authors:  Cara J Büsst; Lisa D S Bloomer; Katrina J Scurrah; Justine A Ellis; Timothy A Barnes; Fadi J Charchar; Peter Braund; Paul N Hopkins; Nilesh J Samani; Steven C Hunt; Maciej Tomaszewski; Stephen B Harrap
Journal:  Hypertension       Date:  2011-10-17       Impact factor: 10.190

2.  Association of the FTO gene with BMI.

Authors:  Steven C Hunt; Steven Stone; Yuanpei Xin; Christina A Scherer; Charles L Magness; Shawn P Iadonato; Paul N Hopkins; Ted D Adams
Journal:  Obesity (Silver Spring)       Date:  2008-01-24       Impact factor: 5.002

3.  Vitamin D dependent effects of APOA5 polymorphisms on HDL cholesterol.

Authors:  Brian H Shirts; Michael T Howard; Sandra J Hasstedt; M Nazeem Nanjee; Stacey Knight; John F Carlquist; Jeffrey L Anderson; Paul N Hopkins; Steven C Hunt
Journal:  Atherosclerosis       Date:  2012-03-01       Impact factor: 5.162

4.  Upstream stimulatory factor 1 associated with familial combined hyperlipidemia, LDL cholesterol, and triglycerides.

Authors:  Hilary Coon; Yuanpei Xin; Paul N Hopkins; Richard M Cawthon; Sandra J Hasstedt; Steven C Hunt
Journal:  Hum Genet       Date:  2005-06-16       Impact factor: 4.132

5.  Evidence for a major gene influencing 7-year increases in diastolic blood pressure with age.

Authors:  L S Cheng; D Carmelli; S C Hunt; R R Williams
Journal:  Am J Hum Genet       Date:  1995-11       Impact factor: 11.025

6.  Evaluation of the gene-age interactions in HDL cholesterol, LDL cholesterol, and triglyceride levels: the impact of the SORT1 polymorphism on LDL cholesterol levels is age dependent.

Authors:  Brian H Shirts; Sandra J Hasstedt; Paul N Hopkins; Steven C Hunt
Journal:  Atherosclerosis       Date:  2011-03-15       Impact factor: 5.162

7.  Changes in sodium-lithium countertransport correlate with changes in triglyceride levels and body mass index over 2 1/2 years of follow-up in Utah.

Authors:  S C Hunt; R R Williams; K O Ash
Journal:  Cardiovasc Drugs Ther       Date:  1990-03       Impact factor: 3.727

  7 in total

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