Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Irmarie Chazaro"'
Autor:
Anita L. DeStefano, Jing Cui, Lindsay A. Farrer, Irmarie Chazaro, Athanasios J. Manolis, Xiaofeng C. Zhou, Haralambos Gavras, Clinton T. Baldwin
Publikováno v:
Disease Markers
Disease Markers, Vol 21, Iss 1, Pp 3-7 (2005)
Disease Markers, Vol 21, Iss 1, Pp 3-7 (2005)
Genetic variations that predispose individuals to complex disorders, such as essential hypertension, may be found in gene coding regions, intronic regions or in gene promoter regions. Most studies have focused on gene variations that result in amino
Autor:
Philip A. Wolf, Joseph F. Polak, Ralph B. D'Agostino, Irmarie Chazaro, Christopher J. O'Donnell, L. Adrienne Cupples, Caroline S. Fox, Jose M. Ordovas
Publikováno v:
The American Journal of Human Genetics. 74:253-261
Carotid intimal medial thickness (IMT) is a heritable quantitative measure of atherosclerosis. A genomewide linkage analysis was conducted to localize a quantitative-trait locus (QTL) influencing carotid IMT. Carotid IMT was measured in 596 men and 6
Autor:
Irmarie Chazaro, Anita L. DeStefano, Jing Cui, Clinton T. Baldwin, Athanasios J. Manolis, Xiaofeng C. Zhou, Haralambos Gavras
Publikováno v:
American Journal of Hypertension. 16:859-863
Background Several studies have indicated that a region on human chromosome 17 may influence blood pressure. Our group reported positive linkage for hypertension to the region on human chromosome 17, between D17S1814 and D17S800 in white sibling pair
Autor:
Jing Cui, Anita L. DeStefano, Irmarie Chazaro, Haralambos Gavras, Lindsay A. Farrer, Porat M. Erlich, Clinton T. Baldwin
Publikováno v:
Hypertension. 41:1191-1195
Human chromosome 17q has been implicated to contain a gene that influences hypertension susceptibility. This region contains the WNK4 gene that causes the mendelian disorder pseudohypoaldosteronism type II, characterized by high potassium levels and
Autor:
Adrienne Cupples, Joseph F. Polak, Christopher J. O'Donnell, R. D'Agostino, Philip A. Wolf, Irmarie Chazaro, Caroline S. Fox
Publikováno v:
Stroke. 34:397-401
Background and Purpose— Carotid intima-media thickness (IMT) is a quantitative measure of subclinical atherosclerosis that is predictive of subsequent myocardial infarction and stroke. There is controversy regarding the proportion of variability in
Autor:
Christopher J. O'Donnell, Peter W. F. Wilson, L. Adrienne Cupples, Marian T. Hannan, Irmarie Chazaro, Caroline S. Fox, Douglas P. Kiel
Publikováno v:
Circulation. 106:337-341
Background — Atherosclerosis is a systemic disease that underlies clinical cardiovascular disease. The radiographic finding of abdominal aortic calcific deposits is an indicator of the presence of aortic atherosclerosis and an independent predictor
Publikováno v:
BMC Genetics, Vol 6, Iss Suppl 1, p S134 (2005)
BMC Genetics
BMC Genetics
In genome-wide genetic studies with a large number of markers, balancing the type I error rate and power is a challenging issue. Recently proposed false discovery rate (FDR) approaches are promising solutions to this problem. Using the 100 simulated
Autor:
Athanasios J. Manolis, Efthymia Melista, Yuejian Zhang, Irmarie Chazaro, Haralambos Gavras, Clinton T. Baldwin, Jing Cui, Xiaofeng C. Zhou, Anita L. DeStefano
Publikováno v:
Journal of hypertension. 23(1)
OBJECTIVE To identify variants in the complete genomic sequence of the two subtypes of bradykinin receptors: B1 (BDKRB1) and B2 (BDKRB2) and to examine the association of these variants with essential hypertension. DESIGN A case-control design compar
Autor:
Irmarie Chazaro, A DeSefano, Haralambos Gavras, Clinton T. Baldwin, Jing Cui, Xiaofeng C. Zhou, A.J. Manolis
Publikováno v:
Journal of Hypertension. 22:S179
Autor:
Jing Cui, Chao-Yu Guo, Serkalem Demissie, Martin G. Larson, Qiong Yang, Larry D. Atwood, Irmarie Chazaro, L. Adrienne Cupples, Anita L. DeStefano
Publikováno v:
BMC Genetics, Vol 4, Iss Suppl 1, p S29 (2003)
BMC Genetics
BMC Genetics
Background We explored three approaches to heritability and linkage analyses of longitudinal total cholesterol levels (CHOL) in the Genetic Analysis Workshop 13 simulated data without knowing the answers. The first two were univariate approaches and