Data/hora: 02/06/2024 00:58:37

Provedor de dados: 	Genetics and Molecular Biology	
País: 	Brazil	
Título: 	Association of serum lipid components and obesity with genetic ancestry in an admixed population of elderly women	
Autores: 	Lins,Tulio C.; Pires,Alause S.; Paula,Roberta S.; Moraes,Clayton F.; Vieira,Rodrigo G.; Vianna,Lucy G.; Nobrega,Otávio T.; Pereira,Rinaldo W.	
Data: 	2012-01-01	
Ano: 	2012	
Palavras-chave: 	Dyslipidemia; Genetic ancestry; Lipid profile; Obesity; Postmenopausal women.	
Resumo: 	The prevalence of metabolic disorders varies among ethnic populations and these disorders represent a critical health care issue for elderly women. This study investigated the correlation between genetic ancestry and body composition, metabolic traits and clinical status in a sample of elderly women. Clinical, nutritional and anthropometric data were collected from 176 volunteers. Genetic ancestry was estimated using 23 ancestry-informative markers. Pearsons correlation test was used to examine the relationship between continuous variables and an independent samples t-test was used to compare the means of continuous traits within categorical variables. Overall ancestry was a combination of European (57.49%), Native American (25.78%) and African (16.73%). Significant correlations were found for European ancestry with body mass index (r = 0.165; p = 0.037) and obesity (mean difference (MD) = 5.3%; p = 0.042). African ancestry showed a significant correlation with LDL (r = 0.159, p = 0.035), VLDL (r = -0.185; p = 0.014), hypertriglyceridemia (MD = 6.4%; p = 0.003) and hyperlipidemia (MD = 4.8%; p = 0.026). Amerindian ancestry showed a significant correlation with triglyceride levels (r = 0.150; p = 0.047) and hypertriglyceridemia (MD = 4.5%; p = 0.039). These findings suggest that genetic admixture may influence the etiology of lipid metabolism-related diseases and obesity in elderly women.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572012000400005	
Editor: 	Sociedade Brasileira de Genética	
Relação: 	10.1590/S1415-47572012005000047	
Formato: 	text/html	
Fonte: 	Genetics and Molecular Biology  v.35 n.3 2012	
Fonte: 	info:eu-repo/semantics/openAccess