A simultaneous search for footprints of early human migration processes using the genetic and folk music data in Eurasia.

In this study, we aimed to illustrate the efficiency of correlation analysis of musical and genetic data for certain common ethnic and ethno-musical roots of mankind. The comparison of the results to archaeogenetic data shows that correlations of recent musical and genetic data may reveal past cultural and migration processes resulting in recent connections. The significance tests verified our hypothesis supposing that propagation of oral musical traditions can be related to early human migration processes is well-founded, because the multidimensional point system determined by the inverse rank vectors of correlating Hg-UCT pairs has a very clear structure. We found that associations of Hgs jointly propagating with associations of UCTs (Unified Contour Type) can be identified as significant complex components in both modern and ancient populations, thus, modern populations can be considered as admixtures of these ancient Hg associations. It also seems obvious to conclude that these ancient Hg associations strewed their musical "parent languages" during their migrations, and the correlating UCTs of these musical parent languages may also be basic components of the recent folk music cultures. Thus, we can draw a hypothetical picture of the main characteristics of ancient musical cultures. Modern and prehistoric populations belonging to a common Hg-UCT association are located to very similar geographical areas, consequently, recent folk music cultures are basically determined by prehistoric migrations. Our study could be considered as an initial step in analysis of the correlations of prehistoric and recent musical and genetic characteristics of human evolution history.

New clustering methods for population comparison on paternal lineages.

The goal of this study is to show two new clustering and visualising techniques developed to find the most typical clusters of 18-dimensional Y chromosomal haplogroup frequency distributions of 90 Western Eurasian populations. The first technique called "self-organizing cloud (SOC)" is a vector-based self-learning method derived from the Self Organising Map and non-metric Multidimensional Scaling algorithms. The second technique is a new probabilistic method called the "maximal relation probability" (MRP) algorithm, based on a probability function having its local maximal values just in the condensation centres of the input data. This function is calculated immediately from the distance matrix of the data and can be interpreted as the probability that a given element of the database has a real genetic relation with at least one of the remaining elements. We tested these two new methods by comparing their results to both each other and the k-medoids algorithm. By means of these new algorithms, we determined 10 clusters of populations based on the similarity of haplogroup composition. The results obtained represented a genetically, geographically and historically well-interpretable picture of 10 genetic clusters of populations mirroring the early spread of populations from the Fertile Crescent to the Caucasus, Central Asia, Arabia and Southeast Europe. The results show that a parallel clustering of populations using SOC and MRP methods can be an efficient tool for studying the demographic history of populations sharing common genetic footprints.

A Y-chromosomal comparison of the Madjars (Kazakhstan) and the Magyars (Hungary).

The Madjars are a previously unstudied population from Kazakhstan who practice a form of local exogamy in which wives are brought in from neighboring tribes, but husbands are not, so the paternal lineages remain genetically isolated within the population. Their name bears a striking resemblance to the Magyars who have inhabited Hungary for over a millennium, but whose previous history is poorly understood. We have now carried out a genetic analysis of the population structure and relationships of the Madjars, and in particular have sought to test whether or not they show a genetic link with the Magyars. We concentrated on paternal lineages because of their isolation within the Madjars and sampled males representing all extant male lineages unrelated for more than eight generations (n = 45) in the Torgay area of Kazakhstan. The Madjars show evidence of extensive genetic drift, with 24/45 carrying the same 12-STR haplotype within haplogroup G. Genetic distances based on haplogroup frequencies were used to compare the Madjars with 37 other populations and showed that they were closest to the Hungarian population rather than their geographical neighbors. Although this finding could result from chance, it is striking and suggests that there could have been genetic contact between the ancestors of the Madjars and Magyars, and thus that modern Hungarians may trace their ancestry to Central Asia, instead of the Eastern Uralic region as previously thought.

Telephone reminders improve adolescent clinic attendance: a randomized controlled trial.

OBJECTIVES: To measure the effect of telephone reminders on adolescent clinic attendance. METHODS: Clinic bookings of adolescents were randomly assigned to either a telephone reminder one day prior to their appointment, or a routine booking (no reminder). The setting was four general adolescent health clinics within a tertiary public adolescent health care service at the Centre for Adolescent Health. The main outcome measures were clinic non-attendance, reason for non-attendance, and satisfaction with the booking system. RESULTS: One hundred and seventy one adolescent appointments were studied. Of these, 51.5% were female, and 25% of bookings were for new, rather than review appointments. One hundred and one adolescents were randomly allocated to the reminder group, of whom 87% were contacted. The use of reminders (intention to treat analysis) significantly reduced the non-attendance rate from 20% to 8% (odds ratio 0.35; P = 0.03). Non-attendance was three times more likely for a new appointment than for review appointments. 'Forgetting' was the most common explanation given by patients (35%) who did not attend. Seventy-nine per cent of parents reported telephone reminders were helpful at prompting attendance. CONCLUSION: Telephone reminders greatly improved attendance at these adolescent clinics. The background non-attendance rate and the proportion of high-risk patients for non-attendance (new appointments in this setting) will determine whether reminders are more efficiently targeted at specific bookings than used routinely.