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Results for “genetic admixture”

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At least 19 recordsLinked to original sources

PubMed1992

HLA class I variation controlled for genetic admixture in the Gila River Indian Community of Arizona: a model for the Paleo-Indians.

The genetic distribution of the HLA class I loci is presented for 619 "full blooded" Pima and Tohono O'odham Native Americans (Pimans) in the Gila River Indian Community. Variation in the Pimans is highly restricted. There are only three polymorphic alleles at the HLA-A locus, *A2, *A24, and *A31, and only 10 alleles with a frequency greater than 0.01 at HLA-B where *Bw48 (0.187), *B35 (0.173), and the new epitope *BN21 (0.143) have the highest frequencies. Two and three locus disequilibria values and haplotype frequencies are presented. Ten three-locus haplotypes account for more than 50% of the class I variation, with *A24 *BN21 *Cw3 (0.085) having the highest frequency. Gm allotypes demonstrate that little admixture from non-Indian populations has entered the Community since the 17th century when Europeans first came to this area. As a consequence many alleles commonly found in Europeans and European Americans are efficient markers for Caucasian admixture, while the "private" Indian alleles, *BN21 and *Bw48, can be used to measure Native American admixture in Caucasian populations. It is suggested that this distribution in "full blooded" Pimans approximates that of the Paleo-Indian migrants who first entered the Americas between 20,000 and 40,000 years ago.

Alleles↗

PubMed2025

Admixture-mapping analysis reveals genetic determinants of the human plasma proteome.

Protein profiling and genetic findings can be integrated to define the genetic architecture of the circulating proteome in chronic diseases. Most self-identified African American (AA) individuals have both African and European genetic ancestry. Admixture mapping can detect genomic association regions in which causal variants exist with substantial differences in allele frequency or effect sizes between genetic ancestries. We performed admixture mapping of the circulating proteome in 1,989 participants from the Jackson Heart Study (JHS), investigating the relation of local African ancestry within genomic regions with levels of circulating proteins. We conditioned protein-local ancestry association models on variants previously found to be associated with those proteins in genome-wide association studies (GWASs). We replicated findings in 196 AA participants from the Multi-Ethnic Study of Atherosclerosis (MESA). 62 proteins were associated with local African ancestry. 21 of 62 remained statistically significant after conditioning on protein-associated variants observed in previous GWASs. 48 of 54 available protein-local ancestry associations were replicated in the MESA. Proteins associated with local African ancestry included chemokines, factors associated with vascular biology and inflammation, and other biologically interesting proteins. Admixture associations unexplained by previously reported protein-associated variants in conditional analysis suggest the existence of causal variants missed by standard GWAS techniques.

Aged↗

PubMed2025

Nested Admixture During and After the Trans-Atlantic Slave Trade on the Island of São Tomé.

Human genetic admixture, involving the contact between two or more previously isolated populations, can be a complex process influenced by social dynamics. In this study, we aim to reconstruct complex admixture histories in São Tomé, an island in the Gulf of Guinea where the Portuguese established one of the first plantation-based slave societies. Since the 15th century, migration waves from Africa and Europe, slavery, marooning, and indentured labour led to profound demographic shifts and social stratification on the island. Examining 2.5 million SNPs newly genotyped in 96 São Toméans, we observed patterns of genetic differentiation that were more complex than those of other populations descended from enslaved Africans on either side of the Atlantic. Using local ancestry inference and Identical-by-Descent methods, we identified five genetic clusters in São Tomé and reconstructed shared ancestries between each cluster and 70 African and European population samples, including an extensive sample from the Cabo Verde archipelago. Our findings align with historical records, retracing the major slave trade routes and labour-driven migrations after the abolition of slavery. We also identified gene flow between recently admixed groups that were previously isolated on the island. We call this process, creating multiple layers of genetic ancestry in admixed genomes, nested admixture. We suggest that changing social structures in São Tomé transformed the genetic structure of its population and influenced the admixture process. This study demonstrates how successive admixture and isolation events during and after the Trans-Atlantic Slave Trade shaped extant genetic diversity patterns at local scale in Africa.

Humans↗

PubMed1992

Prevalence of diagnosed diabetes in circumpolar indigenous populations.

The prevalence of diagnosed diabetes in several genetically closely related indigenous populations in the circumpolar arctic and subarctic regions of Russia, Alaska and Canada is compared. The age-standardized (to the IARC's hypothetical world population) prevalence ranged from 1.8/1000 among the Chukchi and Eskimo of Chukotka, 3.6 and 7.9/1000 among the Eskimos/Inuit of the Canadian Northwest Territories (NWT) and Alaska respectively, 7.1, 9.3 and 18.6/1000 among Athapaskan Indians in the NWT, Yukon and Alaska respectively, to a high of 22.7/1000 among the Aleuts in Alaska. All are below the US all-race prevalence of 23.5/1000 and far below the extreme high prevalence reported from many North American Indian tribes. As a group, such arctic and subarctic peoples have a much shorter and less intense history of European contact and acculturation. Environmental factors are also likely to be responsible for the current differences between these indigenous populations in the circumpolar region, assuming that they share susceptibility genes for diabetes inferred from their close genetic relationships based on markers in other loci. Formal surveys of glucose tolerance and potential risk factors such as diet, physical activity, obesity, insulin resistance and genetic admixture in the circumpolar region would improve knowledge of the aetiology of diabetes in genetically and culturally diverse human populations.

Adult↗

PubMed2024

Questioning inbreeding: Could outbreeding affect productivity in the North African catfish in Thailand?

The North African catfish (Clarias gariepinus) is a significant species in aquaculture, which is crucial for ensuring food and nutrition security. Their high adaptability to diverse environments has led to an increase in the number of farms that are available for their production. However, long-term closed breeding adversely affects their reproductive performance, leading to a decrease in production efficiency. This is possibly caused by inbreeding depression. To investigate the root cause of this issue, the genetic diversity of captive North African catfish populations was assessed in this study. Microsatellite genotyping and mitochondrial DNA D-loop sequencing were applied to 136 catfish specimens, collected from three populations captured for breeding in Thailand. Interestingly, extremely low inbreeding coefficients were obtained within each population, and distinct genetic diversity was observed among the three populations, indicating that their genetic origins are markedly different. This suggests that outbreeding depression by genetic admixture among currently captured populations of different origins may account for the low productivity of the North African catfish in Thailand. Genetic improvement of the North African catfish populations is required by introducing new populations whose origins are clearly known. This strategy should be systematically integrated into breeding programs to establish an ideal founder stock for selective breeding.

Animals↗

PubMed2025

Ancestry and somatic profile predict acral melanoma origin and prognosis.

Acral melanoma, which is not ultraviolet (UV)-associated, is the most common type of melanoma in several low- and middle-income countries including Mexico. Latin American samples are significantly underrepresented in global cancer genomics studies, which directly affects patients in these regions as it is known that cancer risk and incidence may be influenced by ancestry and environmental exposures. To address this, we characterise the genome and transcriptome of 123 acral melanoma tumours from 92 Mexican patients, a population notable because of its genetic admixture. Compared with other studies of melanoma, we found fewer frequent mutations in classical driver genes such as BRAF, NRAS or NF1. While most patients had predominantly Amerindian genetic ancestry, those with higher European ancestry had increased frequency of BRAF mutations and a lower median number of structural variants. The tumours with activating BRAF mutations have a transcriptional profile more similar to cutaneous non-volar melanocytes, suggesting that acral melanomas in these patients may arise from a distinct cell of origin compared to other tumours arising in these locations. KIT mutations were found in a subset of these tumours, and quadruple wild-type samples (non BRAF/NRAS/NF1/KIT) differed from mutated samples in their structural genomic profile and overall and recurrence-free survival patterns. Transcriptional profiling defined three expression clusters; these characteristics were associated with recurrence-free and overall survival. We highlight potential novel low-frequency drivers, such as PTPRJ, NF2 and RDH5. Our study enhances knowledge of this understudied disease and underscores the importance of including samples from diverse ancestries in cancer genomics studies.

Journal Article↗

PubMed2026

2025 Donald Seldin Lecture: Leveraging Diverse Population Genomics and Multiomics Integration for Gene Discovery of Cardiovascular and Kidney Diseases.

This review discusses the implications of frameworks leveraging genetic admixture and multiomics data for advancing gene discovery in cardiovascular and kidney disease research. By broadening gene discovery efforts to additional populations that have a disproportionately high risk of disease and leveraging genetic diversity in admixed populations, studies can identify population-enriched risk variants that traditionally have been missed in genome-wide association studies. The use of multiomics approaches, including the transcriptome, proteome, and metabolome, advances a mechanistic understanding of disease beyond associations. As single-cell omics technologies continue to improve, their integration into gene discovery may help uncover cell-type-specific regulatory pathways and more precise biological contexts. The full potential of these approaches depends on sustained investment in diverse, well-characterized omics data sets, methodological innovation in multiancestry statistical approaches, and interdisciplinary collaboration bridging genomics, epidemiology, and clinical medicine. These efforts will need to be translated into clinically actionable insights, including ancestry-informed risk stratification and targeted therapeutics, to improve outcomes for cardiovascular and kidney diseases.

Humans↗

PubMed2025

Peruvian Population Genomics: Unraveling the Genetic Landscape and Admixture Dynamics of Urban Populations.

Latin American populations exhibit high genetic and phenotypic diversity shaped by complex admixture histories, yet remain underrepresented in genomic research. Here, we analyze genome-wide data from 432 urban individuals across 13 regions of Peru, including 346 newly genotyped from the Peruvian Genome Project. We revealed fine-scale population structure and demographic patterns shaped by both ancient and recent events. Indigenous American ancestries in urban individuals trace back to ancient north-south interactions consisted with archaeological records, while admixture events occurring within the last 8-10 generations involved sources already admixed between distinct ancestral lineages. Identity-by-descent analyses reveal sustained gene flow in southern Peru, while effective population size trends highlight demographic stability in Lima over the past 25 generations. Sex-biased admixture patterns suggest Indigenous ancestry contribution preferentially mediated by females. These findings offer a comprehensive view of Peru's genetic heritage, advancing our understanding of human genetic diversity and historical demographic processes in Latin America.

Admixture↗

PubMed2025

Integrated genomics and morphological approach reveals interspecific gene flow cases and decodes the origin of selected feathergrasses (Poaceae, Stipa).

Central Asia is a diversity hotspot of arid-adapted grasses from the genus Stipa, with approximately 100 taxa found in the region. Recent studies in the steppe areas of Kazakhstan revealed specimens displaying intermediate morphology, distinguishing them from other taxa that grow sympatrically. Using integrative taxonomy, we investigated whether these individuals resulted from natural speciation or hybridisation, and if so, we would like to know which species were involved in this process feathergrasses. Research conducted in steppes of central Kazakhstan (Kyzylorda region), revealed the existence of individuals morphologically intermediate between S. arabica and S. richteriana, suggesting that these are probably of hybrid origin. Morphology and SNP markers validated the specimens as F1 hybrid between the aforementioned species by cladding separately based on neighbor-joining phylogenetic tree. Moreover, genetic structure displayed a separate cluster and showed almost equal genetic admixture between S. arabica and S. richteriana. Additionally, fastStructure analysis detected two geographically separated cryptic genotypes within S. richteriana population and their involvement in the hybridisation resulted in occurrence of S. × heptapotamica, S. × czerepanovii and S. × korshinskyi which recently were suggested as hybrids. Based on these evidences, we described a new nothospecies S. × kyzylordensis, as F1 hybrid. Furthermore, morphologically, the nothospecies delimited with other hybrids in Kazakh steppe area, marking the first report of hybridisation between S. arabica and S. richteriana, along with molecular evidence for the origin of further species supposed to be hybrids. This finding is crucial to understanding species diversity and hybridisation process in morphologically and genetically distant Stipa species.

Poaceae↗

PubMed2025

Carrying APOL1 G1 allele is associated with cardiovascular complications during COVID-19 in an admixed population.

BACKGROUND: The APOL1 G1 and G2 alleles were selected in the Sub-Saharan African population by conferring resistance to trypanosome infection. However, these alleles are associated with kidney diseases, and their role in cardiovascular complications remains uncertain. A second hit mediated by an inflammatory state is necessary for APOL1-mediated phenotypes. Thus, this cross-sectional study investigates the association of APOL1 alleles with COVID-19 outcomes such as cardiovascular complications and kidney injury in an admixed population. Whole-genome sequencing was performed for 485 patients with different outcomes from a Biobank in Southern Brazil. RESULTS: COVID-19 individuals presented median age of 51 years, 281 were hospitalized, and 10.9% had CKD previous to the infection. Global ancestry inference revealed 12.8% of African ancestry. The G1 allele frequency was 2.7% and G2 allele was 1.2%. Local ancestry inference evidenced African ancestry in the locus of APOL1 alleles. The G1 allele frequency was higher among patients with severe outcomes. The presence of this allele was associated with kidney injury (OR = 2.78; 95% CI = 1.04-7.42; p = 0.041) using a minimally adjusted model and cardiovascular complications with a minimally (OR = 4.61; 95% CI = 1.61-13.19; p = 0.004) and fully adjusted model (OR = 4.59; 95% CI = 1.41-14.96; p = 0.011). Four individuals carried two alleles (three G1/G1 and one G1/G2) and three of them progressed to severe COVID-19 developing kidney injury. CONCLUSION: APOL1 risk alleles are present in the Brazilian population due to genetic admixture and the G1 allele was associated with COVID-19 outcomes.

Humans↗

PubMed2025

Ancient Introgression Explains Mitochondrial Genome Capture and Mitonuclear Discordance Among South American Collared Tropidurus Lizards.

Mitonuclear discordance-evolutionary discrepancies between mitochondrial and nuclear DNA phylogenies-can arise from various factors, including introgression, incomplete lineage sorting, recent or ancient demographic fluctuations, sex-biased dispersal asymmetries, among others. Understanding this phenomenon is crucial for accurately reconstructing evolutionary histories, as failing to account for discordance can lead to misinterpretations of species boundaries, phylogenetic relationships, and historical biogeographic patterns. We investigate the evolutionary drivers of mitonuclear discordance in the Tropidurus spinulosus species group, which contains nine species of lizards inhabiting open tropical and subtropical environments in South America. Using a combination of population genetic and phylogenomic approaches applied to mitochondrial and nuclear data, we identified different instances of gene flow that occurred in ancestral lineages of extant species. Our results point to a complex evolutionary history marked by prolonged isolation between species, demographic fluctuations, and potential episodes of secondary contact with genetic admixture. These conditions likely facilitated mitochondrial genome capture while diluting signals of nuclear introgression. Furthermore, we found no strong evidence supporting incomplete lineage sorting or natural selection as primary drivers of the observed mitonuclear discordance. Therefore, the unveiled patterns are most consistent with neutral demographic processes, coupled with ancient mitochondrial introgression, as the main factors underlying the mismatch between nuclear and mitochondrial phylogenies in this system. Future research could further explore the role of other demographic processes, such as asymmetric sex-biased dispersal, in shaping these complex evolutionary patterns.

Animals↗

PubMed1992

Ancestral origin of insulin-dependent diabetes in Mexican-Americans.

To test the hypothesis that insulin-dependent diabetes mellitus in the Mexican-American population is due to Spanish genetic admixture, we obtained ancestral information on 106 Mexican-American families with an insulin-dependent diabetic index case and 80 Mexican-American control families from 1987 to 1991. The Mexican states of origin were available on 395 grandparents of the insulin-dependent diabetic index cases and 291 grandparents of the controls. Analysis of the individual states of origin revealed that there were significantly more Mexican-American grandparents of diabetic index cases from the states of Jalisco and Michoacan when compared to the control families (31% and 16% diabetic versus 22% and 11% controls respectively, P less than 0.01). The states of Zacatecas and Durango had a lower frequency of diabetic grandparents as compared to controls (6% diabetic versus 12% controls, P less than 0.001). Analysis of the origin by Northern and Southern states of México revealed a significant decrease in the number of grandparents of the insulin-dependent diabetic cases from the Northern regions of México, 19.5%, versus 32% in controls, (P less than 0.001). These data indicate that the grandparents of the insulin-dependent diabetic index cases originate from states and regions of México which were those of the early entry of the Europeans. These data thus support the hypothesis that insulin-dependent diabetes mellitus in the Mexican-American population may be due in significant part to an original genetic contribution from the Spanish-European population.

Adolescent↗

PubMed1992

HLA class II variation in the Gila River Indian Community of Arizona: alleles, haplotypes, and a high frequency epitope at the HLA-DR locus.

A genetic distribution for the HLA class II loci is described for 349 "full-blooded" Pima and Tohono O'odham Indians (Pimans) in the Gila River Indian Community. A high frequency epitope in the *DRw52 family was defined by reactions with 31 alloantisera, which we have designated *DR3X6. It segregates as a codominant allele at HLA-DR with alleles *DR2, *DR4, and *DRw8, and has the highest frequency yet reported for an HLA-DR specificity, 0.735. It forms a common haplotype with *DRw52 and *DQw3 that is a valuable marker for genetic admixture and anthropological studies. Phenotype and allele frequencies, and haplotype frequencies for two and three loci, are presented. Variation at these loci is highly restricted, the mean heterozygosity for HLA-DR and HLA-DQ being 0.361. The Pimans represent a contemporary model for the Paleo-Indians who first entered North America 20,000 to 40,000 years ago.

Alleles↗

PubMed1976

Blood group phenotypes and hemoglobin S. An anthropologic study in two Israeli Arab communities.

Blood group phenotypes of anthropologic significance are described for inhabitants of two Israeli Arab communities with foci of hemoglobin S (HbS). The presence of Fy(a-b-), Rho, hrV+, and Js(a+) among the Hulah Valley Bedouin, and of Fy(a-b-), Rho, and hrV+ in Acre are indicative of genetic admixture of African origin. These non-African foci of HbS are thereby distinguished from previously described HbS foci in India, Greece, and Turkey where low or absent Rho phenotypes imply secondary dispersions of the HbS gene from the Arabian peninsula.

Blood Group Antigens↗

PubMed1976

The incidence of systemic lupus erythematosus in North American Indians.

The annual incidence (AI) of systemic lupus erythematosus (SLE) was determined in 75 highly inbred North American Indian tribes, a total of approximately 800,000 people, during the fiscal years 1971-1975. Seventy-two of the Indian tribes had an AI of SLE which was of similar magnitude to previously published studies from Sweden, Rochester (Minn.), Alabama, New York City, and San Francisco. However, Three tribes, the Crow, Arapahoe, and Sioux Indians, had a markedly elevated AI of SLE. These three tribes share common historical, geographic, and cultural characteristics. Further, they all reside in the northern half of the United States, in states that do not receive intense sun exposure, thereby eliminating photosensitivity as a major determinant of this increased prevalence. Finally, the AI of SLE in the Sioux Indians was highest for "full-blooded" members and lowest for genetic admixtures.

Humans↗

PubMed2026

High-Density SNP Genotyping Reveals High Population Connectivity and Limited Spatial Genetic Structure in Apodemus flavicollis and Apodemus sylvaticus.

High-density SNP arrays are increasingly used in ecological and evolutionary studies, yet their application in wild species remains challenging. In this study, we evaluated the performance of the Affymetrix Axiom Mouse HD array, originally developed for Mus musculus, in two wild small mammals, Apodemus flavicollis and Apodemus sylvaticus, with particular focus on genetic diversity and population connectivity across seven sampling sites within a fragmented landscape. A total of 96 individuals (43 A. flavicollis and 53 A. sylvaticus) were genotyped using a 616K SNP array. After quality control filtering for missingness and minor allele frequency, more than 160,000 high-quality autosomal SNPs were retained for each species. Despite being designed for a different species, the array effectively discriminated between A. flavicollis and A. sylvaticus, with principal component analysis clearly separating the two species. Levels of genetic diversity were comparable across sites, with mean observed heterozygosity around 0.33 and consistently negative F IS values, indicating a slight excess of heterozygotes. Population structure analyses revealed extremely weak spatial genetic differentiation. ADMIXTURE supported a single genetic cluster (K = 1) within each species, while analysis of molecular variance attributed more than 99% of genetic variation to within-individual components. Pairwise relationship analyses showed that related individuals were not confined to single sites but occurred across sampling locations, supporting ongoing gene flow even across the fragmented landscape. No significant isolation-by-distance pattern was detected. Overall, our results indicate high population connectivity and limited spatial genetic structuring in both species across the study area, consistent with the documented dispersal capacity of these species at the spatial scale investigated. Moreover, this study demonstrates that high-density SNP arrays can provide powerful genomic tools for investigating dispersal dynamics and population structure in closely related wildlife species under habitat fragmentation, where subtle genetic patterns may otherwise remain undetected.

Apodemus species↗

PubMed2026

Genomic history of the Caucasus: A systematic review and meta-analysis of ancient DNA studies.

The Caucasus region represents a unique natural laboratory for paleogenetic research due to its complex topography, long-standing role as a migratory corridor and glacial refugium, and exceptional preservation conditions for ancient DNA. This review synthesizes recent genome-wide studies to reconstruct the demographic history shaping the distinctive genetic landscape of modern Caucasus populations. The analysis reveals a deep pattern of continuity, isolation, and periodic admixture. Early genetic differentiation emerged in the Neolithic and Chalcolithic, forming distinct steppe and mountain population clusters. The Bronze Age was a pivotal period marked by large-scale gene flow from the Eurasian Steppe, particularly linked to the Yamnaya expansion, and interactions with Iranian and Anatolian-related groups. Despite these influences, many populations demonstrate remarkable genetic continuity from the Bronze Age to the present day. Significant knowledge gaps persist, particularly for the Paleolithic, Mesolithic, and Neolithic of the North Caucasus, as well as for the Late Medieval and Early Modern periods across the entire region. Addressing these gaps through targeted archaeogenomic studies is crucial for understanding the fine-scale processes that formed the hierarchical structure and high linguistic diversity of Caucasus populations, offering a powerful model for studying human adaptation, interaction, and language-genetics dynamics in a mountainous environment.

Humans↗

PubMed2026

Suggestive genome-wide associations with inflammatory biomarkers in an admixed population, including a missense variant in the OR6K6 olfactory receptor gene associated with MCP-1.

BACKGROUND: Chronic low-grade inflammation drives cardiometabolic diseases and has a strong genetic basis. Most genome-wide association studies (GWAS) have focused on European populations, limiting knowledge of the genetic influences on inflammation in admixed populations such as those in Brazil. METHODS: This study is part of the cross-sectional ISA Capital Health Survey. It uses data from the 2015 ISA Nutrition cohort, which measured biochemical, genetic, anthropometric, and lifestyle factors in a probabilistic sample of São Paulo residents. Genomic DNA was extracted from 841 individuals. Genotyping was performed using the Axiom 2.0 Precision Medicine Research Array. After quality control and missing data exclusion, 244,338 SNPs from 638 individuals remained for GWAS-based association analysis with eight inflammatory biomarkers. Models were adjusted for sex, age, age2, overweight, and the first two principal components of ancestry. RESULTS: Most participants were male (53%) and not overweight (55%). The median age was 49, and 38% were older adults. In the genome-wide analysis of TNF-α, IL-10, IL-1β, monocyte chemoattractant protein-1 (MCP-1), and adiponectin, 12 SNPs were significantly associated, most of which were intronic. Notably, one signal mapped to the missense variant rs16841009 in the olfactory receptor gene OR6K6. This variant was associated with MCP-1, suggesting a possible involvement in inflammatory responses. CONCLUSIONS: We identified new SNPs linked to inflammatory biomarkers in a highly admixed Brazilian population, including a missense variant in an olfactory receptor gene linked to MCP-1. This association may be biologically important for inflammation and could affect the risk of cardiometabolic diseases.

Humans↗