Publications

BACKGROUND

Although Mexicans and Puerto Ricans are jointly classified as "Hispanic/Latino," there are significant differences in asthma prevalence, severity, and mortality between the 2 groups. We sought to examine the possibility that population-specific genetic risks contribute to this disparity.

OBJECTIVES

More than 100 candidate genes have been associated with asthma and replicated in an independent population, and 7 genome-wide association studies in asthma have been performed. We compared the pattern of replication of these associations in Puerto Ricans and Mexicans.

METHODS

We genotyped Mexican and Puerto Rican trios using an Affymetrix 6.0 GeneChip and used a family-based analysis to test for genetic associations in 124 genes previously associated with asthma.

RESULTS

We identified 32 single nucleotide polymorphisms (SNPs) in 17 genes associated with asthma in at least 1 of the 2 populations. Twenty-two of these SNPs in 11 genes were significantly associated with asthma in the combined population and showed no significant heterogeneity of association, whereas 5 SNPs were associated in only 1 population and showed statistically significant heterogeneity. In a gene-based approach 2 additional genes were associated with asthma in the combined population, and 3 additional genes displayed ethnic-specific associations with heterogeneity.

CONCLUSIONS

Our results show that only a minority of genetic association studies replicate in our population of Mexican and Puerto Rican asthmatic subjects. Among SNPs that were successfully replicated, most showed no significant heterogeneity across populations. However, we identified several population-specific genetic associations.

BACKGROUND

Fibrosis stages from liver biopsies reflect liver damage from hepatitis C infection, but analysis is challenging due to their ordered but non-numeric nature, infrequent measurement, misclassification, and unknown infection times.

METHODS

We used a non-Markov multistate model, accounting for misclassification, with multiple imputation of unknown infection times, applied to 1062 participants of whom 159 had multiple biopsies. Odds ratios (OR) quantified the estimated effects of covariates on progression risk at any given time.

RESULTS

Models estimated that progression risk decreased the more time participants had already spent in the current stage, African American race was protective (OR 0.75, 95% confidence interval 0.60 to 0.95, p = 0.018), and older current age increased risk (OR 1.33 per decade, 95% confidence interval 1.15 to 1.54, p = 0.0002). When controlled for current age, older age at infection did not appear to increase risk (OR 0.92 per decade, 95% confidence interval 0.47 to 1.79, p = 0.80). There was a suggestion that co-infection with human immunodeficiency virus increased risk of progression in the era of highly active antiretroviral treatment beginning in 1996 (OR 2.1, 95% confidence interval 0.97 to 4.4, p = 0.059). Other examined risk factors may influence progression risk, but evidence for or against this was weak due to wide confidence intervals. The main results were essentially unchanged using different assumed misclassification rates or imputation of age of infection.

DISCUSSION

The analysis avoided problems inherent in simpler methods, supported the previously suspected protective effect of African American race, and suggested that current age rather than age of infection increases risk. Decreasing risk of progression with longer time already spent in a stage was also previously found for post-transplant progression. This could reflect varying disease activity, with recent progression indicating active disease and high risk, while longer time already spent in a stage indicates quiescent disease and low risk.