Biomedical subjects

Zulma G Vitezica

Publications and source records attributed to Zulma G Vitezica.

3 recordsLinked to original sources

PubMed2005

Polygenic variation and transmission factors involved in the resistance/susceptibility to scrapie in a Romanov flock.

Data from 4049 Romanov sheep belonging to a flock affected by natural scrapie were analysed by using survival-analysis techniques. Failure time was defined as the period of time between first exposure to infection and the date that animals left the flock with scrapie signs. Four hundred and forty-seven sheep were identified as 'scrapie animals'. Several models, including level of exposure as a time-dependent effect, PrP genotype, sex, age at first exposure, litter size and factors related to vertical transmission, were tested. The best model was extended to a sire-dam frailty model, in order to estimate the polygenic variation in addition to that in the Prnp gene. A combined effect of rearing type and the dam's disease status was detected. Thus, only sheep with a low degree of exposure to infection as lambs (lambs reared artificially and born out of a healthy dam) showed less risk than others. Animals first exposed to infection at older ages seemed to be less susceptible to scrapie. In this Romanov population, new genotypes (AHQ/AHQ, AHQ/VRQ, ARR/VRQ and ARR/ARQ) were associated with risk, suggesting the effect of genotypes on the incubation period of animals. Polygenic variance was responsible for 21 % of the total genetic variability that was related to susceptibility to scrapie. Therefore, the genetic susceptibility to scrapie may be explained by the joint effect of point mutations at the Prnp major gene and a number of genes that modulate its effect.

Aging↗

PubMed2004

Selecting loop breakers in general pedigrees.

The presence of loops in pedigrees poses severe computational problems in likelihood calculation that can be solved by creating an equivalent unlooped pedigree. We introduce a heuristic polynomial-time dynamic-programming algorithm, called SFH, that addresses the problem of selecting a minimal-cost set of loop breakers. We report computational experiments on simulated pedigrees with up to 1000 individuals and 361 loops, and multiple marriages. We compare the loop-breaker set selected by our method with that obtained using the software package FASTLINK 4.1P. Our approach outperforms FASTLINK 4.1P on the computational-time point of view, on the point of view of quality of the loop-breaker set obtained, and on the point of view of the size of the problem that can be addressed.

Algorithms↗

PubMedDate not supplied

Using genotype probabilities in survival analysis: a scrapie case.

The objective was to evaluate the potential use of genotype probabilities to handle records of non-genotyped animals in the context of survival analysis. To do so, the risks associated with the PrP genotype and other transmission factors in relation to clinical scrapie were estimated. Data from 4049 Romanov sheep affected by natural scrapie were analyzed using survival analysis techniques. The original data set included 1310 animals with missing genotypes; five of those had uncensored records. Different missing genotype-information patterns were simulated for uncensored and censored records. Three strategies differing in the way genotype information was handled were tested. Firstly, records with unknown genotypes were discarded (P1); secondly, those records were grouped in an unknown class (P2). Finally the probabilities of genotypes were assigned (P3). Whatever the strategy, the ranking of relative risks for the most susceptible genotypes (VRQ-VRQ, ARQ-VRQ and ARQ-ARQ) was similar even when the non-genotyped animals were not a negligible part of uncensored records. However, P3 had a more efficient way of handling missing genotype information. As compared to P1, either P2 or P3 avoided discarding the records of non-genotyped animals; however, P3 eliminated the unknown class and the risk associated with this group. Genotype probabilities were shown to be a useful technique to handle records of individuals with unknown genotype.

Animals↗