A non-overlapping sample of mixed-heritage American Indians from the same longitudinal study (n = 4,063, including 739 sibships; reported heritage, on average, was one-half Pima and three-quarters American Indian, Table 1) was used to assess replication.
A population-based sample of full-heritage Pima Indians (n = 3,604, including 736 sibships [sibship is defined as sibs ≥2], Table 1) was initially used to assess associations with type 2 diabetes.
This SNP also had a borderline association with type 2 diabetes in a replication sample of mixed-heritage American Indians (OR 1.32, 95% CI 0.97, 1.79, adjusted p = 0.075).
Although RT qPCR is a routine tool for scientific questions nowadays, it is still not used for routine monitoring of treatments, and studies on RNA in samples of cultural heritage are still rare (Martin Sanchez et al. 2013; Michaelsen et al. 2013; Portillo et al. 2008, 2009).
However, a limitation of the HCHS/SOL is that its design does not provide for a representative sample of all Hispanic/Latino heritage groups in terms of their demography (e.g., rural versus urban background; Mexican Americans in Texas) and proportion of the total Hispanic/Latino and total U.S. population.
The eight tag SNPs were genotyped in a population-based sample of 3,604 full-heritage Pima Indians and a replication sample of 4,063 mixed-heritage American Indians for association analyses of type 2 diabetes and BMI.
These eight tag SNPs (mAF ≥ 0.01) were genotyped in a population-based sample of 3,604 full-heritage Pima Indians of which 415 non-diabetic individuals had detailed measures of metabolic and anthropometric phenotypes for risk factors related to type 2 diabetes and obesity.
For a concentrated sample of this brighter Southern heritage, go no further than North Brooklyn, to see a beautifully designed musical memoir called "Animal Wisdom," which has been extended through December 9th at the Bushwick Starr (a venue that has built a well-deserved reputation over the past decade for solid but adventurous programming).
The results of the most recent in situ application of non-invasive methodologies have shown how the integration of data from different spectroscopic techniques can successfully overcome the intrinsic limitation of each single method and provide valuable information in the study of a variety of heritage objects without sampling [3 5].
Graphical abstract A novel method is presented detecting water soluble airborne pollutants without taking samples of the cultural heritage objects themselves.
