ArticlePloS one2010
Genetic admixture and population substructure in Guanacaste Costa Rica.
Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- Population structure of Hispanics in the United States: the multi-ethnic study of atherosclerosis.PLoS genetics · 2012Pooled it
- Descriptive epidemiology of gastric cancer in Costa Rica from 1990 to 2022 and projection of deaths to 2050: a population-based study.Lancet regional health. Americas · 2025Article
- Genetic variability in HPV 33 and 35 E6 and E7 genes from South African and Mozambican women with different cervical cytology status.Virology journal · 2025Article
- Article
- Genome-wide association study of prevalent and persistent cervical high-risk human papillomavirus (HPV) infection.BMC medical genetics · 2020Article
- Amerindian ancestry and extended longevity in Nicoya, Costa Rica.American journal of human biology : the official journal of the Human Biology Council · 2018Article
- Mutations in BRCA1, BRCA2 and other breast and ovarian cancer susceptibility genes in Central and South American populations.Biological research · 2017Review
- Social-group identity and population substructure in admixed populations in New Mexico and Latin America.PloS one · 2017Article
- A minimum set of ancestry informative markers for determining admixture proportions in a mixed American population: the Brazilian set.European journal of human genetics : EJHG · 2016Article
- Association of serum lipids with outcomes in Hispanic hemodialysis patients of the West versus East Coasts of the United States.American journal of nephrology · 2015Article
- Brazilian urban population genetic structure reveals a high degree of admixture.European journal of human genetics : EJHG · 2012Article
- Multi-ethnic studies in complex traits.Human molecular genetics · 2011Review
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 3 countries.
Funding
Abstract
The population of Costa Rica (CR) represents an admixture of major continental populations. An investigation of the CR population structure would provide an important foundation for mapping genetic variants underlying common diseases and traits. We conducted an analysis of 1,301 women from the Guanacaste region of CR using 27,904 single nucleotide polymorphisms (SNPs) genotyped on a custom Illumina InfiniumII iSelect chip. The program STRUCTURE was used to compare the CR Guanacaste sample with four continental reference samples, including HapMap Europeans (CEU), East Asians (JPT+CHB), West African Yoruba (YRI), as well as Native Americans (NA) from the Illumina iControl database. Our results show that the CR Guanacaste sample comprises a three-way admixture estimated to be 43% European, 38% Native American and 15% West African. An estimated 4% residual Asian ancestry may be within the error range. Results from principal components analysis reveal a correlation between genetic and geographic distance. The magnitude of linkage disequilibrium (LD) measured by the number of tagging SNPs required to cover the same region in the genome in the CR Guanacaste sample appeared to be weaker than that observed in CEU, JPT+CHB and NA reference samples but stronger than that of the HapMap YRI sample. Based on the clustering pattern observed in both STRUCTURE and principal components analysis, two subpopulations were identified that differ by approximately 20% in LD block size averaged over all LD blocks identified by Haploview. We also show in a simulated association study conducted within the two subpopulations, that the failure to account for population stratification (PS) could lead to a noticeable inflation in the false positive rate. However, we further demonstrate that existing PS adjustment approaches can reduce the inflation to an acceptable level for gene discovery.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.