2010
DOI: 10.1038/tpj.2010.71
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Mapping genes that predict treatment outcome in admixed populations

Abstract: There is great interest in characterizing the genetic architecture underlying drug response. For many drugs, gene-based dosing models explain a considerable amount of the overall variation in treatment outcome. As such, prescription drug labels are increasingly being modified to contain pharmacogenetic information. Genetic data must, however, be interpreted within the context of relevant clinical covariates. Even the most predictive models improve with the addition of data related to biogeographical ancestry. … Show more

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Cited by 30 publications
(29 citation statements)
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References 122 publications
(134 reference statements)
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“…The distributions of sex, age, and race/ethnicity were similar between cases and controls. Since Hispanics are a recently admixed group (36), a proportion (34-37%) of our Hispanic population reported “Mixed or Other” race and 49-51% of them reported “White and Caucasian” race. The frequency of hyperdiploid ALL (>50 chromosomes) was 30%, and the frequency of TEL-AML1 ALL was 8%.…”
Section: Resultsmentioning
confidence: 98%
“…The distributions of sex, age, and race/ethnicity were similar between cases and controls. Since Hispanics are a recently admixed group (36), a proportion (34-37%) of our Hispanic population reported “Mixed or Other” race and 49-51% of them reported “White and Caucasian” race. The frequency of hyperdiploid ALL (>50 chromosomes) was 30%, and the frequency of TEL-AML1 ALL was 8%.…”
Section: Resultsmentioning
confidence: 98%
“…Cases generally had lower annual household income compared to controls. Since Hispanics are a recently admixed group (32), a proportion (34%-37%) of our Hispanic population reported “ Mixed or Other” race and 49% -51% of them reported “White and Caucasian” race. In our data, the frequency of B-cell precursor (BCP) ALL is 91.9% among Hispanics (N=297) and the frequency of BCP high-hyperdiploid ALL (>50 chromosomes) for Hispanics is 30% (N=97).…”
Section: Resultsmentioning
confidence: 97%
“…SNPs occur every 100-300 bases along the human genome and several studies suggest that the risk to many complex diseases, like cancer, can be extensively affected by the individual's SNP profile. Presumably, it will be the combination between the SNP profile and environmental factors that contribute to sporadic cancer development [30][31][32] . Genetic polymorphisms in DNA repair genes seem to determine the overall DNA repair capacity, which in turn may affect the risk of OC [15] .…”
Section: Oc and Dna Repairmentioning
confidence: 99%
“…Hyper-gonadotropic conditions are common in infertile, in polycystic ovarian syndrome and in post-menopausal women The formation of a protective progestagenic hormonal milieu can stimulate apoptosis in genetically damaged ovarian epithelial cells, preventing tumor development Hormonal stimulation [92] High androgen levels are harmful while an increase in progesterone levels is benefic Protective effect due to multiparity and oral contraceptive use. Harmful effect is associated with higher androgen levels as in polycystic ovarian syndrome women Inflammation [25] Ovulation is accomplished by an inflammatory response: redox potential alteration, cellular infiltration, cytokine release that can introduce DNA damage in epithelial cells involved in ovary rupture/repair file [30][31][32]35] . The aim of these areas is to establish a relationship between the genotype (i.e., polymorphisms or mutations), gene expression profile and phenotype (both in drugs' pharmacokinetic and pharmacodynamics), interpreted as the variability between individuals concerning the toxicity, effectiveness and therapy outcome [35][36][37][38][39] .…”
Section: Oc and Dna Repairmentioning
confidence: 99%