| Title |
Population admixture associated with disease prevalence in the Boston Puerto Rican health study
|
|---|---|
| Published in |
Human Genetics, December 2008
|
| DOI | 10.1007/s00439-008-0612-7 |
| Pubmed ID | |
| Authors |
Chao-Qiang Lai, Katherine L. Tucker, Shweta Choudhry, Laurence D. Parnell, Josiemer Mattei, Bibiana García-Bailo, Kenny Beckman, Esteban González Burchard, José M. Ordovás |
| Abstract |
Older Puerto Ricans living in the continental U.S. suffer from higher rates of diabetes, obesity, cardiovascular disease and depression compared to non-Hispanic White populations. Complex diseases, such as these, are likely due to multiple, potentially interacting, genetic, environmental and social risk factors. Presumably, many of these environmental and genetic risk factors are contextual. We reasoned that racial background may modify some of these risk factors and be associated with health disparities among Puerto Ricans. The contemporary Puerto Rican population is genetically heterogeneous and originated from three ancestral populations: European settlers, native Taíno Indians, and West Africans. This rich-mixed ancestry of Puerto Ricans provides the intrinsic variability needed to untangle complex gene-environment interactions in disease susceptibility and severity. Herein, we determined whether a specific ancestral background was associated with either of four major disease outcomes (diabetes, obesity, cardiovascular disease, and depression). We estimated the genetic ancestry of 1,129 subjects from the Boston Puerto Rican Health Study based on genotypes of 100 ancestry informative markers (AIMs). We examined the effects of ancestry on tests of association between single AIMs and disease traits. The ancestral composition of this population was 57.2% European, 27.4% African, and 15.4% Native American. African ancestry was negatively associated with type 2 diabetes and cardiovascular disease, and positively correlated with hypertension. It is likely that the high prevalence rate of diabetes in Africans, Hispanics, and Native Americans is not due to genetic variation alone, but to the combined effects of genetic variation interacting with environmental and social factors. |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 4% |
| Uruguay | 2 | 2% |
| Switzerland | 1 | <1% |
| South Africa | 1 | <1% |
| Brazil | 1 | <1% |
| Mexico | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 101 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 21% |
| Student > Ph. D. Student | 18 | 16% |
| Student > Bachelor | 14 | 13% |
| Other | 9 | 8% |
| Student > Master | 9 | 8% |
| Other | 22 | 20% |
| Unknown | 17 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 23% |
| Agricultural and Biological Sciences | 23 | 21% |
| Social Sciences | 9 | 8% |
| Biochemistry, Genetics and Molecular Biology | 7 | 6% |
| Psychology | 7 | 6% |
| Other | 19 | 17% |
| Unknown | 21 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 02 January 2011.
All research outputs
#5,503,232
of 22,659,164 outputs
Outputs from Human Genetics
#701
of 2,948 outputs
Outputs of similar age
#36,171
of 168,252 outputs
Outputs of similar age from Human Genetics
#8
of 19 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,948 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done well, scoring higher than 76% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 168,252 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.