Human Disease Variation in the Light of Population Genomics
Author(s) -
Ana Prohaska,
Fernando Racimo,
Andrew J. Schork,
Martin Sikora,
Aaron J. Stern,
Melissa Ilardo,
Morten E. Allentoft,
Lasse Folkersen,
Alfonso Buil,
J. Víctor Moreno-Mayar,
Thorfinn Sand Korneliussen,
Daniel H. Geschwind,
Andrés Ingason,
Thomas Werge,
Rasmus Nielsen,
Eske Willerslev
Publication year - 2019
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2019.01.052
Subject(s) - biology , disease , genomics , population genomics , evolutionary biology , genetic variation , genetic architecture , population , adaptation (eye) , genetics , genome , gene , quantitative trait locus , demography , medicine , pathology , neuroscience , sociology
Identifying the causes of similarities and differences in genetic disease prevalence among humans is central to understanding disease etiology. While present-day humans are not strongly differentiated, vast amounts of genomic data now make it possible to study subtle patterns of genetic variation. This allows us to trace our genomic history thousands of years into the past and its implications for the distribution of disease-associated variants today. Genomic analyses have shown that demographic processes shaped the distribution and frequency of disease-associated variants over time. Furthermore, local adaptation to new environmental conditions-including pathogens-has generated strong patterns of differentiation at particular loci. Researchers are also beginning to uncover the genetic architecture of complex diseases, affected by many variants of small effect. The field of population genomics thus holds great potential for providing further insights into the evolution of human disease.
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