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Biomedical subjects

Emil Ginsburg

Publications and source records attributed to Emil Ginsburg.

3 recordsLinked to original sources

Sampling correction in linkage analysis.

In a linkage analysis that requires the estimation of parameters other than the recombination fraction, we can construct a pedigree likelihood that leads to consistent parameter estimators if the sampling procedures are known. In particular, it is necessary to identify the subset of pedigree members "relevant to sampling" (RS), where by sampling we mean both pedigree ascertainment through a proband combination and the selective inclusion of the sampled pedigrees in the data that are analyzed. If both these procedures are independent of the marker phenotypes and the model of trait inheritance is known, then no sampling or ascertainment correction is needed to obtain a consistent estimator of the recombination fraction. Otherwise, the correction can be of two types: sampling-model-based, in which the ascertainment and inclusion procedures are modeled and used in the likelihood expression, or sampling-model-free, in which the data RS are "conditioned out" without any modeling of the sampling procedures. In either case, the pedigree proband sampling frame must be identified.

Chromosome Mapping↗

Complex segregation analysis of body height, weight and BMI in pedigree data from Middle Dalmatia, Croatia.

It has recently been reported that the mode of inheritance of body height, weight and BMI in five ethnically and geographically different populations can be described in terms of a major gene (MG) model. Here, using the pedigree sample from the island populations of Middle Dalmatia, Croatia (1,312 observed individuals in 462 pedigrees), the evidence is presented that supports the above findings. By applying the usual transmission probability tests, the hypothesis has been accepted that a significant part of the variation of each one of those three basic morphological traits can be attributed to the effect of a putative large-effect gene. The effect of a putative MG is responsible for 39-50% of age and sex adjusted trait's variation and for 34-48% of the total (non age-adjusted) variation of height, weight and BMI.

Adolescent↗

Increase in power of transmission-disequilibrium tests for quantitative traits.

Allison ([1997] Am. J. Hum. Genet. 60:676-690) proposed four versions of the transmission-disequilibrium test (TDT) for quantitative traits when there is extreme-threshold sampling, i.e., the trios having an offspring trait value between a priori defined thresholds are excluded from the analysis. Keeping intact the ideology and construction of these tests, we propose here an extreme-offspring design for the trios: for each parent pair of which at least one is heterozygous at a marker locus, the offspring having the most extreme trait value is selected for the trio. Our simulation studies show that the effect of the extreme-offspring design can be quite substantial (up to 30% increase in test power), and that the increase is greater for smaller values of the association parameter and for traits with smaller heritability: just those cases where the increase in power is especially desirable.

Data Interpretation, Statistical↗