Title |
Understanding rare and common diseases in the context of human evolution
|
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Published in |
Genome Biology, November 2016
|
DOI | 10.1186/s13059-016-1093-y |
Pubmed ID | |
Authors |
Lluis Quintana-Murci |
Abstract |
The wealth of available genetic information is allowing the reconstruction of human demographic and adaptive history. Demography and purifying selection affect the purge of rare, deleterious mutations from the human population, whereas positive and balancing selection can increase the frequency of advantageous variants, improving survival and reproduction in specific environmental conditions. In this review, I discuss how theoretical and empirical population genetics studies, using both modern and ancient DNA data, are a powerful tool for obtaining new insight into the genetic basis of severe disorders and complex disease phenotypes, rare and common, focusing particularly on infectious disease risk. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 26 | 23% |
United Kingdom | 15 | 13% |
France | 5 | 4% |
Germany | 4 | 4% |
Japan | 3 | 3% |
Spain | 3 | 3% |
Australia | 3 | 3% |
Canada | 2 | 2% |
Netherlands | 2 | 2% |
Other | 14 | 13% |
Unknown | 35 | 31% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 57 | 51% |
Members of the public | 43 | 38% |
Practitioners (doctors, other healthcare professionals) | 8 | 7% |
Science communicators (journalists, bloggers, editors) | 4 | 4% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 2% |
United Kingdom | 4 | 1% |
Hungary | 1 | <1% |
Mexico | 1 | <1% |
Brazil | 1 | <1% |
Japan | 1 | <1% |
Russia | 1 | <1% |
Unknown | 296 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 74 | 24% |
Researcher | 52 | 17% |
Student > Bachelor | 38 | 12% |
Student > Master | 27 | 9% |
Student > Doctoral Student | 14 | 5% |
Other | 50 | 16% |
Unknown | 55 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 98 | 32% |
Biochemistry, Genetics and Molecular Biology | 82 | 26% |
Medicine and Dentistry | 31 | 10% |
Social Sciences | 7 | 2% |
Immunology and Microbiology | 6 | 2% |
Other | 31 | 10% |
Unknown | 55 | 18% |