Literature DB >> 11668351

Effect of race, genetic population structure, and genetic models in two-locus association studies: clustering of functional renin-angiotensin system gene variants in hypertension association studies.

A C Pereira1, G A Mota, I Benseñor, P A Lotufo, J E Krieger.   

Abstract

Previous genetic association studies have overlooked the potential for biased results when analyzing different population structures in ethnically diverse populations. The purpose of the present study was to quantify this bias in two-locus association studies conducted on an admixtured urban population. We studied the genetic structure distribution of angiotensin-converting enzyme insertion/deletion (ACE I/D) and angiotensinogen methionine/threonine (M/T) polymorphisms in 382 subjects from three subgroups in a highly admixtured urban population. Group I included 150 white subjects; group II, 142 mulatto subjects, and group III, 90 black subjects. We conducted sample size simulation studies using these data in different genetic models of gene action and interaction and used genetic distance calculation algorithms to help determine the population structure for the studied loci. Our results showed a statistically different population structure distribution of both ACE I/D (P = 0.02, OR = 1.56, 95% CI = 1.05-2.33 for the D allele, white versus black subgroup) and angiotensinogen M/T polymorphism (P = 0.007, OR = 1.71, 95% CI = 1.14-2.58 for the T allele, white versus black subgroup). Different sample sizes are predicted to be determinant of the power to detect a given genotypic association with a particular phenotype when conducting two-locus association studies in admixtured populations. In addition, the postulated genetic model is also a major determinant of the power to detect any association in a given sample size. The present simulation study helped to demonstrate the complex interrelation among ethnicity, power of the association, and the postulated genetic model of action of a particular allele in the context of clustering studies. This information is essential for the correct planning and interpretation of future association studies conducted on this population.

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Year:  2001        PMID: 11668351     DOI: 10.1590/s0100-879x2001001100008

Source DB:  PubMed          Journal:  Braz J Med Biol Res        ISSN: 0100-879X            Impact factor:   2.590


  5 in total

Review 1.  Genetic predisposition and renal allograft failure: implication of non-HLA genetic variants.

Authors:  Faisal Khan; Swati Agrawal; Suraksha Agrawal
Journal:  Mol Diagn Ther       Date:  2006       Impact factor: 4.074

2.  Race and ethnicity in genetic research.

Authors:  Pamela Sankar; Mildred K Cho; Joanna Mountain
Journal:  Am J Med Genet A       Date:  2007-05-01       Impact factor: 2.802

3.  Five polymorphisms in gene candidates for cardiovascular disease in Afro-Brazilian individuals.

Authors:  Tatsuya Sakuma; Rosario D C Hirata; Mario H Hirata
Journal:  J Clin Lab Anal       Date:  2004       Impact factor: 2.352

4.  Influence of the C242T polymorphism of the p22-phox gene (CYBA) on the interaction between urinary sodium excretion and blood pressure in an urban Brazilian population.

Authors:  Roberto Schreiber; Vera Regina Bellinazzi; Andrei C Sposito; José G Mill; José E Krieger; Alexandre C Pereira; Wilson Nadruz
Journal:  PLoS One       Date:  2013-12-05       Impact factor: 3.240

5.  Aerobic exercise training differentially affects ACE C- and N-domain activities in humans: Interactions with ACE I/D polymorphism and association with vascular reactivity.

Authors:  Cléber Rene Alves; Tiago Fernandes; José Ribeiro Lemos; Flávio de Castro Magalhães; Ivani Credidio Trombetta; Guilherme Barreto Alves; Glória de Fátima Alves da Mota; Rodrigo Gonçalves Dias; Alexandre Costa Pereira; José Eduardo Krieger; Carlos Eduardo Negrão; Edilamar Menezes Oliveira
Journal:  J Renin Angiotensin Aldosterone Syst       Date:  2018 Apr-Jun       Impact factor: 1.636

  5 in total

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