Global Alzheimer Research Summit: Basic and clinical research Present and future Alzheimer research

We report here on the proceedings of the Global Alzheimer Summit that took place September 22–23, 2011 in Madrid, Spain. As Alzheimer disease (AD) is the leading cause of neurodegeneration in elderly individuals and, as yet, has no effective therapeutic option, it continues to stimulate global research interests. At the conference, leaders in the field of AD research provided insights into current developments in various areas of research, namely molecular mechanisms, genetics, novel aspects of AD research and translational research. Emphasis was also placed on the importance of biomarkers in the diagnosis of AD and development of current therapeutic strategies.     

Genotypic dispersion and covariance between relatives under linkage disequilibrium

A random mating diploid population under linkage disequilibrium is considered. In the case of two diallelic loci, the problem about condition and joint distributions of genotypes of relatives being in arbitrary genetic relations is solved. Formulae of the partitioning of genotypic variance and covariance between relatives with respect to a polygenic character are inferred (in the case of many characters - of genotypic covariance matrix).     

Multivariate approach to calculating the recurrence risk in families with multifactorial diseases

To resolve one of the main theoretical problems of genetic counselling, namely, calculation of the recurrence risk for common diseases, a multivariate approach is suggested, based on the multifactorial model. The model suggests partially different liability for several diseases or various forms of a disease. The specified recurrence risk for each family can be calculated with the account of different morbidity rates for different sexes and the degree of kinship to proband. The input data for computer calculations are: population incidence of diseases, their heritabilities as well as genetical and environmental correlations between the diseases. Our method is illustrated by calculation of the recurrence risk for diabetes mellitus (DM) and bronchial asthma (BA), each of which may be subdivided into several forms. It is proposed that the nature of genetic correlations is different for two diseases. The phenotypic forms of DM are genetically independent, whereas the forms of BA have a common genetic basis.     

Possibility of the current segregation analysis to discriminate between monogenic and multifactorial types of inheritance of traits. The effect of the structure of family data on model robustness and power of the analysis

The influence of sampling designs for robustness of the autosomal major locus model and the multifactorial model as well as possibility of segregation analysis to discriminate these models was studied. Nuclear families and 3-generation pedigrees were considered. It was found that robustness of models increased, when the size of sibships in nuclear families grows and when configuration of pedigrees is complicated. The resolution power of the analysis is always increased with size elevation of sibships, the highest effect of the analysis being observed for sibships of the size 3 or 4. Consideration of new generations is only advisable, if attracting sibs of these generations, the resolution power being increased, provided that the parameters of models are of high value.     

The possibility of modern segregation analysis to discriminate monogenic and multifactorial types of the inheritance of traits. The reliability of models and the power of the analysis

Using computer simulation of family data sets within segregation analysis limits the comparative research of the autosomal major locus model (MLM) and the multifactorial model (MFM) which described the basic types of inheritance of the alternative traits (affected--nonaffected) has been conducted. Robustness of models (statistical aspect) and the power of the analysis (its possibility to discriminate MLM and MFM) are tested. It is shown that permissible level of relative errors for estimated population's frequency is increased, when the values of parameters of models are increased (with decrease of sporadic cases' portion). The power of the analysis is the greatest in the field of greatest robustness of models: the higher the parameters of models, the portion of sporadic cases being low, the stronger the power of the analysis. MFM satisfactorily describes family distribution given by additive MLM. On the contrary, if the MLM corresponds to the multifactorial traits, this model is additive. It is shown that the possibility of the analysis to reject alternative model is decreased when determination of model grows down.