Literature DB >> 30901534

Human Disease Variation in the Light of Population Genomics.

Ana Prohaska1, Fernando Racimo2, Andrew J Schork3, Martin Sikora2, Aaron J Stern4, Melissa Ilardo5, Morten Erik Allentoft2, Lasse Folkersen3, Alfonso Buil3, J Víctor Moreno-Mayar2, Thorfinn Korneliussen2, Daniel Geschwind6, Andrés Ingason3, Thomas Werge7, Rasmus Nielsen8, Eske Willerslev9.   

Abstract

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.
Copyright © 2019 Elsevier Inc. All rights reserved.

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Year:  2019        PMID: 30901534     DOI: 10.1016/j.cell.2019.01.052

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  23 in total

1.  Light at Night Exposure Effects on Differentiation and Cell Cycle in the Rat Liver With Autonomic Nervous System Denervation.

Authors:  Mohammad Hossein Heidari; Mona Zamanian Azodi; Mohammad Reza Zali; Zahra Akbari
Journal:  J Lasers Med Sci       Date:  2019-12-01

Review 2.  Association Between REELIN Gene Polymorphisms (rs7341475 and rs262355) and Risk of Schizophrenia: an Updated Meta-analysis.

Authors:  Sadiatul Marzan; Md Abdul Aziz; Mohammad Safiqul Islam
Journal:  J Mol Neurosci       Date:  2020-09-05       Impact factor: 3.444

Review 3.  Evolutionary perspectives on polygenic selection, missing heritability, and GWAS.

Authors:  Lawrence H Uricchio
Journal:  Hum Genet       Date:  2019-06-14       Impact factor: 4.132

4.  PGG.SNV: understanding the evolutionary and medical implications of human single nucleotide variations in diverse populations.

Authors:  Chao Zhang; Yang Gao; Zhilin Ning; Yan Lu; Xiaoxi Zhang; Jiaojiao Liu; Bo Xie; Zhe Xue; Xiaoji Wang; Kai Yuan; Xueling Ge; Yuwen Pan; Chang Liu; Lei Tian; Yuchen Wang; Dongsheng Lu; Boon-Peng Hoh; Shuhua Xu
Journal:  Genome Biol       Date:  2019-10-22       Impact factor: 13.583

5.  Population-specific genetic background for the OPRM1 variant rs1799971 (118A>G): implications for genomic medicine and functional analysis.

Authors:  Orna Levran; Mary Jeanne Kreek
Journal:  Mol Psychiatry       Date:  2020-10-09       Impact factor: 15.992

Review 6.  Genetic diversity in Kashubs: the regional increase in the frequency of several disease-causing variants.

Authors:  Maciej Jankowski; Patrycja Daca-Roszak; Cezary Obracht-Prondzyński; Rafał Płoski; Beata S Lipska-Ziętkiewicz; Ewa Ziętkiewicz
Journal:  J Appl Genet       Date:  2022-08-15       Impact factor: 2.653

Review 7.  Peopling of the Americas as inferred from ancient genomics.

Authors:  Eske Willerslev; David J Meltzer
Journal:  Nature       Date:  2021-06-16       Impact factor: 49.962

8.  THE EXPOSOME IN HUMAN EVOLUTION: FROM DUST TO DIESEL.

Authors:  Benjamin C Trumble; Caleb E Finch
Journal:  Q Rev Biol       Date:  2019-12       Impact factor: 6.750

Review 9.  Perspectives on studying molecular adaptations of amphibians in the genomic era.

Authors:  Yan-Bo Sun; Yi Zhang; Kai Wang
Journal:  Zool Res       Date:  2020-07-18

10.  Future Preventive Gene Therapy of Polygenic Diseases from a Population Genetics Perspective.

Authors:  Roman Teo Oliynyk
Journal:  Int J Mol Sci       Date:  2019-10-10       Impact factor: 5.923

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