Biomedical subjects

Lev A Zhivotovsky

Publications and source records attributed to Lev A Zhivotovsky.

5 recordsLinked to original sources

PubMed2003

Features of evolution and expansion of modern humans, inferred from genomewide microsatellite markers.

We study data on variation in 52 worldwide populations at 377 autosomal short tandem repeat loci, to infer a demographic history of human populations. Variation at di-, tri-, and tetranucleotide repeat loci is distributed differently, although each class of markers exhibits a decrease of within-population genetic variation in the following order: sub-Saharan Africa, Eurasia, East Asia, Oceania, and America. There is a similar decrease in the frequency of private alleles. With multidimensional scaling, populations belonging to the same major geographic region cluster together, and some regions permit a finer resolution of populations. When a stepwise mutation model is used, a population tree based on TD estimates of divergence time suggests that the branches leading to the present sub-Saharan African populations of hunter-gatherers were the first to diverge from a common ancestral population (approximately 71-142 thousand years ago). The branches corresponding to sub-Saharan African farming populations and those that left Africa diverge next, with subsequent splits of branches for Eurasia, Oceania, East Asia, and America. African hunter-gatherer populations and populations of Oceania and America exhibit no statistically significant signature of growth. The features of population subdivision and growth are discussed in the context of the ancient expansion of modern humans.

Africa↗

PubMed2003

African Y chromosome and mtDNA divergence provides insight into the history of click languages.

BACKGROUND: About 30 languages of southern Africa, spoken by Khwe and San, are characterized by a repertoire of click consonants and phonetic accompaniments. The Jumid R:'hoansi (!Kung) San carry multiple deeply coalescing gene lineages. The deep genetic diversity of the San parallels the diversity among the languages they speak. Intriguingly, the language of the Hadzabe of eastern Africa, although not closely related to any other language, shares click consonants and accompaniments with languages of Khwe and San. RESULTS: We present original Y chromosome and mtDNA variation of Hadzabe and other ethnic groups of Tanzania and Y chromosome variation of San and peoples of the central African forests: Biaka, Mbuti, and Lisongo. In the context of comparable published data for other African populations, analyses of each of these independently inherited DNA segments indicate that click-speaking Hadzabe and Jumid R:'hoansi are separated by genetic distance as great or greater than that between any other pair of African populations. Phylogenetic tree topology indicates a basal separation of the ancient ancestors of these click-speaking peoples. That genetic divergence does not appear to be the result of recent gene flow from neighboring groups. CONCLUSIONS: The deep genetic divergence among click-speaking peoples of Africa and mounting linguistic evidence suggest that click consonants date to early in the history of modern humans. At least two explanations remain viable. Clicks may have persisted for tens of thousands of years, independently in multiple populations, as a neutral trait. Alternatively, clicks may have been retained, because they confer an advantage during hunting in certain environments.

Africa, Eastern↗

PubMed2002

Genetic structure of human populations.

We studied human population structure using genotypes at 377 autosomal microsatellite loci in 1056 individuals from 52 populations. Within-population differences among individuals account for 93 to 95% of genetic variation; differences among major groups constitute only 3 to 5%. Nevertheless, without using prior information about the origins of individuals, we identified six main genetic clusters, five of which correspond to major geographic regions, and subclusters that often correspond to individual populations. General agreement of genetic and predefined populations suggests that self-reported ancestry can facilitate assessments of epidemiological risks but does not obviate the need to use genetic information in genetic association studies.

Africa South of the Sahara↗

PubMed2002

A model of the early evolution of soma-to-germline feedback.

The V-genes of the immunoglobulin locus in vertebrates code for a part of the heavy and light chain variable regions of antibodies and are extremely variable. Steele (1979) has developed a theory that explains the evolution of adaptive immune response by a soma-to-germline flow of cDNAs derived from somatically mutated V-genes. Here we model the early evolution of soma-to-germline feedback in a population living in a changing viral environment in terms of the dynamics of an initially rare genetic modifier that controls transfer of V-genes to germ cells' DNA. It is shown that a modifier invades the population and creates a great variety of V-genes if the environment follows stepwise temporal changes, i.e. a soma-to-germline feedback machinery evolves in a population if newly derived V-alleles still play a role in protecting the population against foreign antigens in some following generations. The distribution of the age of V-genes evolves to a bell-shaped curve the width and the maximum of which depend mainly on selection strength. Two phases of modifier evolution are distinguished. In the first phase, the dynamics are slow while the number of different V-genes is small. In the second phase, when a sufficiently large number of different V-genes is created, the modifier increases faster in frequency. Linkage of V-genes and the modifier enhances the rate of evolution.

Animals↗

PubMed2002

Truncated product method for combining P-values.

We present a new procedure for combining P-values from a set of L hypothesis tests. Our procedure is to take the product of only those P-values less than some specified cut-off value and to evaluate the probability of such a product, or a smaller value, under the overall hypothesis that all L hypotheses are true. We give an explicit formulation for this P-value, and find by simulation that it can provide high power for detecting departures from the overall hypothesis. We extend the procedure to situations when tests are not independent. We present both real and simulated examples where the method is especially useful. These include exploratory analyses when L is large, such as genome-wide scans for marker-trait associations and meta-analytic applications that combine information from published studies, with potential for dealing with the "publication bias" phenomenon. Once the overall hypothesis is rejected, an adjustment procedure with strong family-wise error protection is available for smaller subsets of hypotheses, down to the individual tests.

Genetic Linkage↗