Title |
Decay of linkage disequilibrium within genes across HGDP-CEPH human samples: most population isolates do not show increased LD
|
---|---|
Published in |
BMC Genomics, July 2009
|
DOI | 10.1186/1471-2164-10-338 |
Pubmed ID | |
Authors |
Elena Bosch, Hafid Laayouni, Carlos Morcillo-Suarez, Ferran Casals, Andrés Moreno-Estrada, Anna Ferrer-Admetlla, Michelle Gardner, Araceli Rosa, Arcadi Navarro, David Comas, Jan Graffelman, Francesc Calafell, Jaume Bertranpetit |
Abstract |
It is well known that the pattern of linkage disequilibrium varies between human populations, with remarkable geographical stratification. Indirect association studies routinely exploit linkage disequilibrium around genes, particularly in isolated populations where it is assumed to be higher. Here, we explore both the amount and the decay of linkage disequilibrium with physical distance along 211 gene regions, most of them related to complex diseases, across 39 HGDP-CEPH population samples, focusing particularly on the populations defined as isolates. Within each gene region and population we use r2 between all possible single nucleotide polymorphism (SNP) pairs as a measure of linkage disequilibrium and focus on the proportion of SNP pairs with r2 greater than 0.8. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 4% |
Brazil | 2 | 4% |
Switzerland | 1 | 2% |
France | 1 | 2% |
New Zealand | 1 | 2% |
Spain | 1 | 2% |
Unknown | 48 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 18 | 32% |
Researcher | 12 | 21% |
Professor | 6 | 11% |
Professor > Associate Professor | 5 | 9% |
Student > Bachelor | 2 | 4% |
Other | 8 | 14% |
Unknown | 5 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 35 | 63% |
Biochemistry, Genetics and Molecular Biology | 6 | 11% |
Computer Science | 2 | 4% |
Mathematics | 1 | 2% |
Business, Management and Accounting | 1 | 2% |
Other | 4 | 7% |
Unknown | 7 | 13% |