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Yu-Chun Yen

Publications and source records attributed to Yu-Chun Yen.

2 recordsLinked to original sources

Sibling recurrence risk ratio analysis of the metabolic syndrome and its components over time.

BACKGROUND: The purpose of this study was to estimate both cross-sectional sibling recurrence risk ratio (lambdas) and lifetime lambdas for the metabolic syndrome and its individual components over time among sibships in the prospectively followed-up cohorts provided by the Genetic Analysis Workshop 13. Five measures included in the operational criteria of the metabolic syndrome by the Adult Treatment Panel III were examined. A method for estimating sibling recurrence risk with correction for complete ascertainment was used to estimate the numerator, and the prevalence in the whole cohort was used as the denominator of lambdas. RESULTS: Considerable variability in the lambdas was found in terms of different time-points for the cross-sectional definition, the times of fulfilling the criterion for lifetime definition, and different components. Obesity and hyperglycemia had the highest cross-sectional lambdas of the five components. Both components also had the largest slopes in the linear trend of the lifetime lambdas. However, the magnitudes of the lifetime lambdas were similar to that of the mean cross-sectional lambdas, which were <2. The results of nonparametric linkage analysis showed only suggestive evidence of linkage between one marker and lifetime diagnosis of low high-density lipoprotein cholesterol and metabolic syndrome, respectively. CONCLUSION: The lambdas of the metabolic syndrome and its components varies substantially across time, and the lambdas of lifetime diagnosis was not necessarily larger than that of a cross-sectional diagnosis. The magnitude of lambdas does not predict well the maximum LOD score of linkage analysis.

Adolescent↗

Admixture mapping using interval transmission/disequilibrium tests.

Family-based studies of genetic association and linkage play a key role in mapping susceptibility genes of complex human diseases. Recent admixture between genetically differentiated populations can result in high levels of linkage disequilibrium even at far apart loci. This has been capitalized upon to reduce the burden of genotyping in a genomewide association scan. Here the authors describe an alternative approach for admixture mapping. The genome is divided into several non-overlapping intervals and the information of the markers in the same interval is integrated--the 'interval transmission/disequilibrium test' (ITDT). This method requires information in the form of the marker allele frequencies in the founding populations. However, computer simulations show that the performances of ITDT are hardly affected by imprecise allele-frequency information. Simulations also show that an interval-by-interval scan using ITDT perform much better than a conventional marker-by-marker scan using TDT, even under conditions where the admixture process occurred over many generations and the individuals in the admixed populations show considerable variation in admixture proportion. Hence the ITDT is a promising new genomewide scan method.

Chromosome Mapping↗