Population level comparisons in central Mexico using cranial nonmetric traits.

OBJECTIVES: We study the genetic diversity between Classic Teotihuacan and its neighboring towns trying to understand how far or close they are at the genetic level. MATERIALS AND METHODS: We use cranial nonmetric traits to study a sample of 280 adult skulls from archaeological sites running from the late Preclassic to the early Postclassic. Samples of Classic Teotihuacan were studied for La Ventilla and San Sebastián Xolalpan neighbors. For the Epiclassic period, samples from Xaltocan, Toluca valley, Mogotes and Xico were used. For the Preclassic and Postclassic samples from Xico were also used. We used a parametric bootstrap for the mean measure of divergence for the statistical analysis. RESULTS: Samples from Xico have small biodistance from Preclassic to Postclassic. Samples from Los Mogotes differ depending on the functional context of deposition, with individuals from household burials (funerary) differing from non-funerary, ceremonial interments and exhibiting affinities to Epiclassic samples from Toluca valley. Epiclassic populations from Xaltocan vary significantly from any samples analyzed. Samples from Classic period Teotihuacan vary considerably among them but form a separate genetic group from all the other populations under study. CONCLUSIONS: The great biodistance separation among Classic Teotihuacan and its neighbor villages of central Mexico let us conclude that, contrary from the classical idea that those villages were confirmed by the inhabitants of Teotihuacan's collapse: They indeed remain as separate populations by themselves.

Upper Palaeolithic Siberian genome reveals dual ancestry of Native Americans.

The origins of the First Americans remain contentious. Although Native Americans seem to be genetically most closely related to east Asians, there is no consensus with regard to which specific Old World populations they are closest to. Here we sequence the draft genome of an approximately 24,000-year-old individual (MA-1), from Mal'ta in south-central Siberia, to an average depth of 1×. To our knowledge this is the oldest anatomically modern human genome reported to date. The MA-1 mitochondrial genome belongs to haplogroup U, which has also been found at high frequency among Upper Palaeolithic and Mesolithic European hunter-gatherers, and the Y chromosome of MA-1 is basal to modern-day western Eurasians and near the root of most Native American lineages. Similarly, we find autosomal evidence that MA-1 is basal to modern-day western Eurasians and genetically closely related to modern-day Native Americans, with no close affinity to east Asians. This suggests that populations related to contemporary western Eurasians had a more north-easterly distribution 24,000 years ago than commonly thought. Furthermore, we estimate that 14 to 38% of Native American ancestry may originate through gene flow from this ancient population. This is likely to have occurred after the divergence of Native American ancestors from east Asian ancestors, but before the diversification of Native American populations in the New World. Gene flow from the MA-1 lineage into Native American ancestors could explain why several crania from the First Americans have been reported as bearing morphological characteristics that do not resemble those of east Asians. Sequencing of another south-central Siberian, Afontova Gora-2 dating to approximately 17,000 years ago, revealed similar autosomal genetic signatures as MA-1, suggesting that the region was continuously occupied by humans throughout the Last Glacial Maximum. Our findings reveal that western Eurasian genetic signatures in modern-day Native Americans derive not only from post-Columbian admixture, as commonly thought, but also from a mixed ancestry of the First Americans.

Importance of the geographic barriers to promote gene drift and avoid pre- and post-Columbian gene flow in Mexican native groups: Evidence from forensic STR Loci.

OBJECTIVE: To analyze the origin, structure, relationships, and recent admixture in Mexican Native groups based on 15 STRs commonly used in human identification. METHODS: We analyzed 39 Mexican Native population samples using STR databases based on the AmpFlSTR® Identifiler kit (n = 3,135), including Mexican-Mestizos (admixed), European and African populations, as reference. RESULTS: Based upon effective population size (Ne) differences, Native groups were clustered into three regions: i) Center-Southeast groups, characterized by larger Ne, migration rate (Nm), genetic diversity (He), and relative homogeneity principally in the Yucatan Peninsula; ii) Isolated southern groups from Chiapas and Oaxaca, characterized by lower Ne, Nm, and He (i.e. higher isolation and genetic differentiation); iii) North-Northwest groups, which are similar to the previous group but are characterized by generating the widest gene flow barrier in the Pre-Hispanic Mexican territory, and currently by elevated admixture in some northern Native groups. Despite the relative congruence between genetic relationships with cultural, linguistic, geographic criteria, these factors do not explain the present-day population structure of Native groups, excepting in those linguistically related to the Mayan that show higher homogeneity. The Isolation by distance model was demonstrated at long distances (>1,500 km), whereas geographic isolation stands as a determining factor to avoid both non-indigenous admixture and bottleneck processes. CONCLUSIONS: Different dynamics of gene flow and drift were observed among Mexican Native groups, highlighting the geographic barriers (mountains, canyons and jungle regions) as the main factor differentiating Pre-Hispanic populations, and eventually helping to avoid Post-European contact admixture and population bottleneck. Am J Phys Anthropol 160:298-316, 2016. © 2016 Wiley Periodicals, Inc.

Racial misclassification of American Indians and Alaska Natives by Indian Health Service Contract Health Service Delivery Area.

OBJECTIVES: We evaluated the racial misclassification of American Indians and Alaska Natives (AI/ANs) in cancer incidence and all-cause mortality data by Indian Health Service (IHS) Contract Health Service Delivery Area (CHSDA). METHODS: We evaluated data from 3 sources: IHS-National Vital Statistics System (NVSS), IHS-National Program of Cancer Registries (NPCR)/Surveillance, Epidemiology and End Results (SEER) program, and National Longitudinal Mortality Study (NLMS). We calculated, within each data source, the sensitivity and classification ratios by sex, IHS region, and urban-rural classification by CHSDA county. RESULTS: Sensitivity was significantly greater in CHSDA counties (IHS-NVSS: 83.6%; IHS-NPCR/SEER: 77.6%; NLMS: 68.8%) than non-CHSDA counties (IHS-NVSS: 54.8%; IHS-NPCR/SEER: 39.0%; NLMS: 28.3%). Classification ratios indicated less misclassification in CHSDA counties (IHS-NVSS: 1.20%; IHS-NPCR/SEER: 1.29%; NLMS: 1.18%) than non-CHSDA counties (IHS-NVSS: 1.82%; IHS-NPCR/SEER: 2.56%; NLMS: 1.81%). Race misclassification was less in rural counties and in regions with the greatest concentrations of AI/AN persons (Alaska, Southwest, and Northern Plains). CONCLUSIONS: Limiting presentation and analysis to CHSDA counties helped mitigate the effects of race misclassification of AI/AN persons, although a portion of the population was excluded.

Genetic structure of three Native Mexican communities based on mtDNA haplogroups, and ABO and Rh blood group systems.

OBJECTIVE: The goals of this population genetics study were to describe mtDNA haplogroups and ABO and Rh blood group systems of 3 Native Mexican populations, to determine their genetic variability, and to compare their haplogroups with those of 13 Native Mexican populations previously reported. MATERIAL AND METHODS: The three communities under analysis were a Tepehua-speaking community from Huehuetla (Hidalgo state), an Otomi-speaking community from San Antonio el Grande (Hidalgo state), and a Zapotec-speaking community from Juchitán (Oaxaca state). Every subject studied in each community had four grandparents who were born in the same community and spoke the same language. The four Amerindian mtDNA haplogroups (A, B, C and D) were studied by restriction analysis and gel electrophoresis. RESULTS: Regarding the blood groups, the O group was the most frequent in the three populations (97.2, 94.7, and 86.2%, respectively), as well as the Rh+ group (100, 100, 84%). The three populations analyzed were in Hardy-Weinberg equilibrium. In respect to the mtDNA haplogroups, A, B, C and D, their percentage was 33.3, 36.1, 13.9 and 5.6 % in Huehuetla; 39.5, 13.2, 39.5 and 2.6 % in San Antonio el Grande, and 55.3, 21.0, 7.9 and 5.2 % in Juchitán. Between 5 and 11% of the haplogroups were of non-Amerindian origin, probably due to admixture with Caucasian and African populations, as has been reported in the past. No statistically-significant differences were found among the three populations studied or between them and 13 previously reported Native Mexican populations.

The genomic landscape of Mexican Indigenous populations brings insights into the peopling of the Americas.

The genetic makeup of Indigenous populations inhabiting Mexico has been strongly influenced by geography and demographic history. Here, we perform a genome-wide analysis of 716 newly genotyped individuals from 60 of the 68 recognized ethnic groups in Mexico. We show that the genetic structure of these populations is strongly influenced by geography, and our demographic reconstructions suggest a decline in the population size of all tested populations in the last 15-30 generations. We find evidence that Aridoamerican and Mesoamerican populations diverged roughly 4-9.9 ka, around the time when sedentary farming started in Mesoamerica. Comparisons with ancient genomes indicate that the Upward Sun River 1 (USR1) individual is an outgroup to Mexican/South American Indigenous populations, whereas Anzick-1 was more closely related to Mesoamerican/South American populations than to those from Aridoamerica, showing an even more complex history of divergence than recognized so far.

Distribution of Y chromosomes among native North Americans: a study of Athapaskan population history.

In this study, 231 Y chromosomes from 12 populations were typed for four diagnostic single nucleotide polymorphisms (SNPs) to determine haplogroup membership and 43 Y chromosomes from three of these populations were typed for eight short tandem repeats (STRs) to determine haplotypes. These data were combined with previously published data, amounting to 724 Y chromosomes from 26 populations in North America, and analyzed to investigate the geographic distribution of Y chromosomes among native North Americans and to test the Southern Athapaskan migration hypothesis. The results suggest that European admixture has significantly altered the distribution of Y chromosomes in North America and because of this caution should be taken when inferring prehistoric population events in North America using Y chromosome data alone. However, consistent with studies of other genetic systems, we are still able to identify close relationships among Y chromosomes in Athapaskans from the Subarctic and the Southwest, suggesting that a small number of proto-Apachean migrants from the Subarctic founded the Southwest Athapaskan populations.

Using "socially assigned race" to probe white advantages in health status.

OBJECTIVES: We explore the relationships between socially assigned race ("How do other people usually classify you in this country?"), self-identified race/ethnicity, and excellent or very good general health status. We then take advantage of subgroups which are discordant on self-identified race/ethnicity and socially assigned race to examine whether being classified by others as White conveys an advantage in health status, even for those who do not self-identify as White. METHODS: Analyses were conducted using pooled data from the eight states that used the Reactions to Race module of the 2004 Behavioral Risk Factor Surveillance System. RESULTS: The agreement of socially assigned race with self-identified race/ethnicity varied across the racial/ethnic groups currently defined by the United States government. Included among those usually classified by others as White were 26.8% of those who self-identified as Hispanic, 47.6% of those who self-identified as American Indian, and 59.5% of those who self-identified with More than one race. Among those who self-identified as Hispanic, the age-, education-, and language-adjusted proportion reporting excellent or very good health was 8.7 percentage points higher for those socially assigned as White than for those socially assigned as Hispanic (P=.04); among those who self-identified as American Indian, that proportion was 15.4 percentage points higher for those socially assigned as White than for those socially assigned as American Indian (P=.05); and among those who self-identified with More than one race, that proportion was 23.6 percentage points higher for those socially assigned as White than for those socially assigned as Black (P<.01). On the other hand, no significant differences were found between those socially assigned as White who self-identified as White and those socially assigned as White who self-identified as Hispanic, as American Indian, or with More than one race. CONCLUSIONS: Being classified by others as White is associated with large and statistically significant advantages in health status, no matter how one self-identifies.

Racial misclassification of Native Americans in a surveillance, epidemiology, and end results cancer registry.

BACKGROUND: The cancer incidence for all sites has been reported to be lower in Native Americans than in White Americans. Concerns have been expressed, however, that the observed low incidence may be a result of inaccurate reporting of race. PURPOSE: The objective of this study was to investigate the extent to which racial misclassification may contribute to the observed low cancer incidence among Native Americans. METHODS: A registry of individuals eligible to receive medical services funded by the Indian Health Service was linked by computer to the Puget Sound Surveillance, Epidemiology, and End Results (SEER) cancer registry. RESULTS: Only 137 (60%) of the patients with invasive cancer registered with the Indian Health Service and for whom race was recorded were identified as Native Americans in the SEER registry. Similarly, 55 (69%) of 80 in situ cervical cancer case patients were classified as Native American. A strong association was observed between Native-American blood quantum level and racial misclassification. CONCLUSION: The results of this study indicate that the observed low cancer incidence in Native Americans relative to Whites in the northwest United States is at least partially attributable to racial misclassification in the SEER cancer registry.

Analyzing the use of race and ethnicity in biomedical research from a local community perspective.

Lost in the debate over the use of racial and ethnic categories in biomedical research is community-level analysis of how these categories function and influence health. Such analysis offers a powerful critique of national and transnational categories usually used in biomedical research such as "African-American" and "Native American." Ethnographic research on local African-American and Native American communities in Oklahoma shows the importance of community-level analysis. Local ("intra-community") health practices tend to be shared by members of an everyday interactional community without regard to racial or ethnic identity. Externally created ("extra-community") practices tend to be based on the existence of externally-imposed racial or ethnic identities, but African-American and Native American community members show similar patterns in their use of extra-community practices. Thus, membership in an interactional community seems more important than externally-imposed racial or ethnic identity in determining local health practices, while class may be as or more important in accounting for extra-community practices.

Native American mitochondrial DNA analysis indicates that the Amerind and the Nadene populations were founded by two independent migrations.

Mitochondrial DNAs (mtDNAs) from 167 American Indians including 87 Amerind-speakers (Amerinds) and 80 Nadene-speakers (Nadene) were surveyed for sequence variation by detailed restriction analysis. All Native American mtDNAs clustered into one of four distinct lineages, defined by the restriction site variants: HincII site loss at np 13,259, AluI site loss at np 5,176, 9-base pair (9-bp) COII-tRNA(Lys) intergenic deletion and HaeIII site gain at np 663. The HincII np 13,259 and AluI np 5,176 lineages were observed exclusively in Amerinds and were shared by all such tribal groups analyzed, thus demonstrating that North, Central and South American Amerinds originated from a common ancestral genetic stock. The 9-bp deletion and HaeIII np 663 lineages were found in both the Amerinds and Nadene but the Nadene HaeIII np 663 lineage had a unique sublineage defined by an RsaI site loss at np 16,329. The amount of sequence variation accumulated in the Amerind HincII np 13,259 and AluI np 5,176 lineages and that in the Amerind portion of the HaeIII np 663 lineage all gave divergence times in the order of 20,000 years before present. The divergence time for the Nadene portion of the HaeIII np 663 lineage was about 6,000-10,000 years. Hence, the ancestral Nadene migrated from Asia independently and considerably more recently than the progenitors of the Amerinds. The divergence times of both the Amerind and Nadene branches of the COII-tRNA(Lys) deletion lineage were intermediate between the Amerind and Nadene specific lineages, raising the possibility of a third source of mtDNA in American Indians.

One little, too little: Counting Canada's indigenous people for improved health reporting.

The way state governments, worldwide, count or do not count Indigenous peoples has contributed to inconsistent reporting of Indigenous health statistics. To address unreliable reporting in Canada, we reviewed laws on Indian status and the development of a national Indian Registration System (IRS) to track Indian status and eligibility. With this information as a guide, we linked the IRS to the Manitoba provincial health registry systems and were able to identify individuals with Indian status for health reporting. To improve reporting, we identified individuals often missed in this type of linkage. For instance, we identified children and adult children who were eligible for Indian status but not yet registered. Equally as important, we identified individuals not eligible for Indian status but have Indian heritage and/or represent potential individual Indian status eligibility cases before the courts to right a historic form of identity sex discrimination that has made them invisible in Canadian society and health reporting. A familial kinship approach was used to identify Indian children and adult children typically missed when a strict legal entitlement criteria is used for data linkage. Our reflective socio-legal data linkage approach expanded the number of Indian peoples for health reporting purposes and demonstrated a feasible, inclusive way to report on the health of Indians in Canada.

Best Practices for Effective Clinical Partnerships with Indigenous Populations of North America (American Indian, Alaska Native, First Nations, Métis, and Inuit).

This article presents a review of the literature to identify best practices for clinical partnerships with indigenous populations of North America, specifically American Indian/Alaska Native, First Nations, Métis, and Inuit of Canada. The authors have identified best practices and lessons learned from collaborating with indigenous populations, presented in 2 categories: conceptual guidelines and health care delivery guidelines. Major themes include the importance of trust and communication, the delivery of culturally congruent health care, and the necessity of working in partnership with tribal entities for successful delivery of health care. Best practices in health care delivery with indigenous populations are presented.

Correctness of racial coding of American Indians and Alaska Natives on the Washington State death certificate.

Underestimation of death rates for specific races can obscure health problems and impair the ability of public programs to prevent premature death and disability. For accurate race-specific death rates, the racial classification of both the population at risk and the decreased population must be accurately ascertained. However, studies suggest that the American Indian (AI) and Alaska Native (AN) races may be not be accurately recorded on the death certificate. We performed a computerized linkage between the Indian Health Service (IHS) patient registry and the 1985-1990 computerized Washington State death certificate data. The deceased was correctly identified as AI or AN on the death certificate for 1,088 (87.2%) of 1,248 matched deaths. The majority (93%) of deceased persons identified on the death certificate as not AI or AN were listed as white. The percentage of American Indian ancestry was strongly associated with correct racial classification on the death certificate (P < .001). Birth in Washington State, membership in a large Washington State tribe, and death from an alcohol condition independently added to the likelihood of correct AI or AN racial classification. Persons who died from cancer were significantly less likely to be correctly coded as AI or AN on the death certificate.

Accuracy of race coding on American Indian death certificates, Montana 1996-1998.

OBJECTIVES: The purpose of this study was to describe the consistency of coding of American Indians on Montana death certificates and to identify the characteristics of American Indians in Montana associated with consistent classification on death certificates. METHODS: The Billings Area Indian Health Service (IHS) patient registration file was linked with Montana Department of Health and Human Services death certificate files for 1996-1998. RESULTS: A total of 769 Montana residents who had died in 1996-1998 were matched to the IHS registration file. Of these decedents, 696 (91%) were consistently classified as American Indian on the death certificate. Seventy-two (99%) of the 73 decedents not classified as Indian were classified as white. American Indians living in counties on or near the seven Montana reservations were more likely to be consistently classified than Indians living in other counties (95% vs. 70%); those with less than 12 years of education (93% vs. 88%) were more likely to be consistently classified than those with 12 or more years of education. Decedents whose cause of death was suicide were less likely than those with other causes of death to be consistently classified (72% vs. 95%). In contrast, a higher percentage of those with an alcohol-related cause of death than of those with other causes of death were consistently classified, although this difference was not statistically significant. CONCLUSIONS: The mortality rates for Montana American Indians are underestimated overall, and are differentially under- and overestimated for selected conditions.

The recording of demographic information on death certificates: a national survey of funeral directors.

OBJECTIVE: The authors sought to ascertain the methods used by funeral directors to determine the demographic information recorded on death certificates. METHODS: Standardized questionnaires were administered to funeral directors in five urban locations in the U.S. In addition, personnel on four Indian reservations were interviewed. Study sites were selected for diverse racial/ethnic populations and variability in recording practices; funeral homes were selected by stratified random sampling. RESULTS: Fifty-two percent of responding funeral directors reported receiving no formal training in death certification. Seventy-nine percent of respondents reported finding certain demographic items difficult to complete--26% first specified race as the problematic item, and 25% first specified education. The decedent's race was "sometimes" or "often" determined through personal knowledge of the family by 58% of respondents; 43% reported "sometimes" or "often" determining race by observation. Only three respondents reported that occupation was a problematic item. CONCLUSIONS: The authors recommend that the importance of demographic data and the instructions for data collection be clarified for funeral directors, that standard data collection worksheets be developed, and that training videos be developed.

Developmental screenings in rural settings: a comparison of the child development review and the Denver II Developmental Screening Test.

Screening results for the Child Development Review (CDR) and the Denver II Developmental Screening Test (Denver II) were compared in two locations: the Cheyenne River Reservation in South Dakota and Sioux Falls, S.D. Seventy-three white, Native American and other minority children, half originating from the reservation and half from Sioux Falls, were randomly assigned to take one developmental screening test. A chi-square analysis indicated a significant difference in results across tests. Specifically, more CDR than Denver II subjects passed the screening and more Denver II than CDR subjects failed the screening. This pattern held for subjects living on, but not off, the reservation. Thus, for Native American, white and other minority children living on the Cheyenne River Reservation, the CDR may be undersensitive and/or the Denver II oversensitive to suspect presentations. Medical practitioners are advised to use these instruments with caution in rural settings.