The asymmetry of dermatoglyphic finger ridge counts and the geographic altitude of the Jujenean population in northwest Argentina.

Asymmetry is omnipresent in the living world and therefore is a measure of developmental noise and instability. The main stressing agent in high-altitude ecosystems is hypobaric hypoxia. The variation in bilateral dermatoglyphic symmetry in populations from the Province of Jujuy in northwest Argentina is analyzed, and these results are compared to those for other populations with different ethnic and environmental backgrounds. Fingerprints were collected from 310 healthy students (140 males and 170 females) aged 18-20 years from three localities in Jujuy Province-Abra Pampa (3484 m above sea level), Humahuaca (2939 m above sea level), and San Salvador de Jujuy (1260 m above sea level). Asymmetry by sex was assessed based on radial and ulnar ridge counts to determine its pattern of variability (directional asymmetry [DA], fluctuating asymmetry [FA] and antisymmetry), and asymmetry and diversity indices were calculated. A bivariate plot and principal component analysis (PCA) were used to compare these indices with those for other populations. Homogeneity was found between populations and sexes when radial and ulnar ridges were counted. FA values did not show significant differences by locality or side (ulnar and radial), but significant differences were found by finger and sex, with males showing significantly greater FA values. The asymmetry and diversity indices clearly group the Andean populations and separate them from populations of different ethnic and geographic origin. Only the diversity index showed significant differences by locality in males, which suggests a substantially different genetic component in Abra Pampa male samples.

Discordance of metabolic syndrome and abdominal obesity prevalence according to different criteria in Andean highlanders: A community-based study.

AIMS: There is no consensus as to which Metabolic Syndrome (MetS) definition to use for South-American populations. The aim of this study is to compare the prevalence of MetS and abdominal obesity using different criteria in Andean adults aged 40 and older living permanently at high altitude. METHODS: We conducted a cross-sectional study in Chivay (Andean highlands). 237 participants were included. Anthropometric measurements, glucose and lipid assessments were done in all subjects. Adult Treatment Panel III (ATPIII) and International Diabetes Federation (IDF) criteria for MetS were used. Abdominal obesity prevalence was determined using the American Diabetes Association (ADA), IDF, and PREVENCION Study criteria. Cohen's Kappa coefficient (κ) was analyzed to assess agreement level between different criteria. Multiple regression analyses were performed to find predictors for waist circumference. RESULTS: MetS was identified in 28.7% (95%CI=23.8-33.5) using ATPIII criteria, and 37.9% (95%CI=32.7-43.0) using IDF criteria, with higher prevalence in women. The κ statistics for agreement between both criteria was 0.775 (95%CI=0.690-0.859). Abdominal obesity prevalence according to ADA, IDF, and PREVENCION criteria was 35.9% (95%CI=29.7-42.0), 75.9% (95%CI=70.5-81.4), and 42.6% (95%CI=36.3-49.0), respectively. Agreement between ADA and PREVENCION criteria was highest (κ=0.859, 95%CI=0.792-0.925). The strongest predictors for higher waist circumference values were triglycerides and BMI in women, and systolic blood pressure, triglycerides, fasting plasma glucose, and HDL-cholesterol in men. CONCLUSIONS: MetS according to ATP III and IDF criteria was highly prevalent. IDF criteria identified a larger number of subjects with MetS. Different abdominal obesity criteria tended to show variation when applied to our sample population.

Population genetic structure of traditional populations in the Peruvian Central Andes and implications for South American population history.

Molecular-based characterizations of Andean peoples are traditionally conducted in the service of elucidating continent-level evolutionary processes in South America. Consequently, genetic variation among "western" Andean populations is often represented in relation to variation among "eastern" Amazon and Orinoco River Basin populations. This west-east contrast in patterns of population genetic variation is typically attributed to large-scale phenomena, such as dual founder colonization events or differing long-term microevolutionary histories. However, alternative explanations that consider the nature and causes of population genetic diversity within the Andean region remain underexplored. Here we examine population genetic diversity in the Peruvian Central Andes using data from the mtDNA first hypervariable region and Y-chromosome short tandem repeats among 17 newly sampled populations and 15 published samples. Using this geographically comprehensive data set, we first reassessed the currently accepted pattern of western versus eastern population genetic structure, which our results ultimately reject: mtDNA population diversities were lower, rather than higher, within Andean versus eastern populations, and only highland Y-chromosomes exhibited significantly higher within-population diversities compared with eastern groups. Multiple populations, including several highland samples, exhibited low genetic diversities for both genetic systems. Second, we explored whether the implementation of Inca state and Spanish colonial policies starting at about ad 1400 could have substantially restructured population genetic variation and consequently constitute a primary explanation for the extant pattern of population diversity in the Peruvian Central Andes. Our results suggest that Peruvian Central Andean population structure cannot be parsimoniously explained as the sole outcome of combined Inca and Spanish policies on the region's population demography: highland populations differed from coastal and lowland populations in mtDNA genetic structure only; highland groups also showed strong evidence of female-biased gene flow and/or effective sizes relative to other Peruvian ecozones. Taken together, these findings indicate that population genetic structure in the Peruvian Central Andes is considerably more complex than previously reported and that characterizations of and explanations for genetic variation may be best pursued within more localized regions and defined time periods.