| Title |
Admixture in Mexico City: implications for admixture mapping of Type 2 diabetes genetic risk factors
|
|---|---|
| Published in |
Human Genetics, October 2006
|
| DOI | 10.1007/s00439-006-0273-3 |
| Pubmed ID | |
| Authors |
Veronica L. Martinez-Marignac, Adan Valladares, Emily Cameron, Andrea Chan, Arjuna Perera, Rachel Globus-Goldberg, Niels Wacher, Jesús Kumate, Paul McKeigue, David O’Donnell, Mark D. Shriver, Miguel Cruz, Esteban J. Parra |
| Abstract |
Admixture mapping is a recently developed method for identifying genetic risk factors involved in complex traits or diseases showing prevalence differences between major continental groups. Type 2 diabetes (T2D) is at least twice as prevalent in Native American populations as in populations of European ancestry, so admixture mapping is well suited to study the genetic basis of this complex disease. We have characterized the admixture proportions in a sample of 286 unrelated T2D patients and 275 controls from Mexico City and we discuss the implications of the results for admixture mapping studies. Admixture proportions were estimated using 69 autosomal ancestry-informative markers (AIMs). Maternal and paternal contributions were estimated from geographically informative mtDNA and Y-specific polymorphisms. The average proportions of Native American, European and, West African admixture were estimated as 65, 30, and 5%, respectively. The contributions of Native American ancestors to maternal and paternal lineages were estimated as 90 and 40%, respectively. In a logistic model with higher educational status as dependent variable, the odds ratio for higher educational status associated with an increase from 0 to 1 in European admixture proportions was 9.4 (95%, credible interval 3.8-22.6). This association of socioeconomic status with individual admixture proportion shows that genetic stratification in this population is paralleled, and possibly maintained, by socioeconomic stratification. The effective number of generations back to unadmixed ancestors was 6.7 (95% CI 5.7-8.0), from which we can estimate that genome-wide admixture mapping will require typing about 1,400 evenly distributed AIMs to localize genes underlying disease risk between populations of European and Native American ancestry. Sample sizes of about 2,000 cases will be required to detect any locus that contributes an ancestry risk ratio of at least 1.5. |
Mendeley readers
The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 4 | 3% |
| Colombia | 2 | 2% |
| Uruguay | 2 | 2% |
| Canada | 1 | <1% |
| Mexico | 1 | <1% |
| Belgium | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 111 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 22% |
| Student > Ph. D. Student | 22 | 18% |
| Student > Master | 13 | 11% |
| Student > Bachelor | 11 | 9% |
| Professor > Associate Professor | 10 | 8% |
| Other | 29 | 24% |
| Unknown | 11 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 37% |
| Medicine and Dentistry | 24 | 20% |
| Biochemistry, Genetics and Molecular Biology | 16 | 13% |
| Social Sciences | 9 | 7% |
| Immunology and Microbiology | 3 | 2% |
| Other | 10 | 8% |
| Unknown | 16 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 December 2020.
All research outputs
#7,451,942
of 22,782,096 outputs
Outputs from Human Genetics
#933
of 2,951 outputs
Outputs of similar age
#23,802
of 68,418 outputs
Outputs of similar age from Human Genetics
#11
of 24 outputs
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