Population sub-structure and patterns of quantitative variation among the Gollas of Southern Andhra Pradesh, India

This is the published version, also available here: http://digitalcommons.wayne.edu/humbiol/vol73/iss2/9/.Population substructure and biological differentiation was studied among the Golla, a pastoral caste living in the southern areas of Andhra Pradesh (AP) in India, using 11 anthropometric measurements and 20 quantitative dermatoglyphic variables. The data were collected from a sample of 334 adult males drawn from 30 villages distributed in the Chittoor district of AP, who belonged to 8 endogamous subunits of the same caste. Multiple discriminant analysis of the anthropometrics suggests a highly significant degree of discrimination that is consistent with the microgeographic variations of the groups. In contrast, in different sets of dermatoglyphs discrimination is low and generally inconsistent with both the geographic and ethnohistorical affiliations of the groups. These findings are reflected in the FST value for anthropometry, which is more than double the value of dermatoglyphs. The patterns of gene flow as inferred through the regression of phenotypic variance on the distance of groups from the centroid is not generally consistent with the known backgrounds in the case of either dermatoglyphs or anthropometry. It is concluded that at the level of caste substructure representing the lowest level of population hierarchy, the quantitative variables examined here may not portray a complete picture of the historical process of subdivision. The results of this study are not in congruence with those based on another study of 13 short tandem repeat loci on the same set of populations (Reddy et al. 2001), which may provide better insights into the population structure and history of subdivision that are consistent with the known ethnohistorical backgrounds of the populations

Effect of a test-and-treat approach to vitamin D supplementation on risk of all cause acute respiratory tract infection and covid-19:phase 3 randomised controlled trial (CORONAVIT)

OBJECTIVE: To determine the effect of population level implementation of a test-and-treat approach to correction of suboptimal vitamin D status (25-hydroxyvitamin D (25(OH)D) <75 nmol/L) on risk of all cause acute respiratory tract infection and covid 19. DESIGN: Phase 3 open label randomised controlled trial. SETTING: United Kingdom. PARTICIPANTS: 6200 people aged ≥16 years who were not taking vitamin D supplements at baseline. INTERVENTIONS: Offer of a postal finger prick test of blood 25(OH)D concentration with provision of a six month supply of lower dose vitamin D (800 IU/day, n=1550) or higher dose vitamin D (3200 IU/day, n=1550) to those with blood 25(OH)D concentration <75 nmol/L, compared with no offer of testing or supplementation (n=3100). Follow-up was for six months. MAIN OUTCOME MEASURES: The primary outcome was the proportion of participants with at least one swab test or doctor confirmed acute respiratory tract infection of any cause. A secondary outcome was the proportion of participants with swab test confirmed covid-19. Logistic regression was used to calculate odds ratios and associated 95% confidence intervals. The primary analysis was conducted by intention to treat. RESULTS: Of 3100 participants offered a vitamin D test, 2958 (95.4%) accepted and 2674 (86.3%) had 25(OH)D concentrations <75 nmol/L and received vitamin D supplements (n=1328 lower dose, n=1346 higher dose). Compared with 136/2949 (4.6%) participants in the no offer group, at least one acute respiratory tract infection of any cause occurred in 87/1515 (5.7%) in the lower dose group (odds ratio 1.26, 95% confidence interval 0.96 to 1.66) and 76/1515 (5.0%) in the higher dose group (1.09, 0.82 to 1.46). Compared with 78/2949 (2.6%) participants in the no offer group, 55/1515 (3.6%) developed covid-19 in the lower dose group (1.39, 0.98 to 1.97) and 45/1515 (3.0%) in the higher dose group (1.13, 0.78 to 1.63). CONCLUSIONS: Among people aged 16 years and older with a high baseline prevalence of suboptimal vitamin D status, implementation of a population level test-and-treat approach to vitamin D supplementation was not associated with a reduction in risk of all cause acute respiratory tract infection or covid-19. TRIAL REGISTRATION: ClinicalTrials.gov NCT04579640

The WAGGS project - I. The WiFeS Atlas of Galactic Globular cluster Spectra

We present the WiFeS Atlas of Galactic Globular cluster Spectra, a library of integrated spectra of Milky Way and Local Group globular clusters. We used the WiFeS integral field spectrograph on the Australian National University 2.3 m telescope to observe the central regions of 64 Milky Way globular clusters and 22 globular clusters hosted by the Milky Way’s low-mass satellite galaxies. The spectra have wider wavelength coverage (3300–9050 Å) and higher spectral resolution (R = 6800) than existing spectral libraries of Milky Way globular clusters. By including Large and Small Magellanic Cloud star clusters, we extend the coverage of parameter space of existing libraries towards young and intermediate ages. While testing stellar population synthesis models and analysis techniques is the main aim of this library, the observations may also further our understanding of the stellar populations of Local Group globular clusters and make possible the direct comparison of extragalactic globular cluster integrated light observations with well-understood globular clusters in the Milky Way. The integrated spectra are publicly available via the project website

Population Substructure and Patterns of Quantitative Variation among the Gollas of Southern Andhra Pradesh, India

Population substructure and biological differentiation was studied among the Golla, a pastoral caste living in the southern areas of Andhra Pradesh (AP) in India, using 11 anthropometric measurements and 20 quantitative dermatoglyphic variables. The data were collected from a sample of 334 adult males drawn from 30 villages distributed in the Chittoor district of AP, who belonged to 8 endogamous subunits of the same caste. Multiple discriminant analysis of the anthropometrics suggests a highly significant degree of discrimination that is consistent with the microgeographic variations of the groups. In contrast, in different sets of dermatoglyphs discrimination is low and generally inconsistent with both the geographic and ethnohistorical affiliations of the groups. These findings are reflected in the FST value for anthropometry, which is more than double the value of dermatoglyphs. The patterns of gene flow as inferred through the regression of phenotypic variance on the distance of groups from the centroid is not generally consistent with the known backgrounds in the case of either dermatoglyphs or anthropometry. It is concluded that at the level of caste substructure representing the lowest level of population hierarchy, the quantitative variables examined here may not portray a complete picture of the historical process of subdivision. The results of this study are not in congruence with those based on another study of 13 short tandem repeat loci on the same set of populations (Reddy et al. 2001), which may provide better insights into the population structure and history of subdivision that are consistent with the known ethnohistorical backgrounds of the populations

Procoli: Profiles of cosmological likelihoods

International audienceFrequentist profile likelihoods have seen a resurgence in cosmology, offering an alternative to Bayesian methods as they can circumvent the impact of prior-volume effects. This paper presents Procoli, a fast and accessible package to obtain profile likelihoods in cosmology, available on GitHub and PyPI. Procoli seamlessly integrates with MontePython, incorporating all its available data likelihoods, as well as any modified versions of CLASS. This paper provides a comprehensive overview of the Procoli code, detailing the simulated-annealing optimizer at its core and the sequential computation of the profile. An an example, we use the early dark energy model which is afflicted by prior-volume effects to illustrate the code's features. We validate its optimizer with mock data, and compare optimization techniques for both the global minimum and the profile. Procoli further enables splitting profiles into their component contributions from individual experiments, offering nuanced insights into the data and model. As a valuable addition to the cosmologist's toolkit, Procoli supplements existing Bayesian codes, contributing to more robust parameter constraints in cosmological studies