Literature DB >> 27535931

Nationwide Genomic Study in Denmark Reveals Remarkable Population Homogeneity.

Georgios Athanasiadis1, Jade Y Cheng2, Bjarni J Vilhjálmsson3, Frank G Jørgensen4, Thomas D Als5, Stephanie Le Hellard6, Thomas Espeseth7, Patrick F Sullivan8, Christina M Hultman9, Peter C Kjærgaard10, Mikkel H Schierup11, Thomas Mailund12.   

Abstract

Denmark has played a substantial role in the history of Northern Europe. Through a nationwide scientific outreach initiative, we collected genetic and anthropometrical data from ∼800 high school students and used them to elucidate the genetic makeup of the Danish population, as well as to assess polygenic predictions of phenotypic traits in adolescents. We observed remarkable homogeneity across different geographic regions, although we could still detect weak signals of genetic structure reflecting the history of the country. Denmark presented genomic affinity with primarily neighboring countries with overall resemblance of decreasing weight from Britain, Sweden, Norway, Germany, and France. A Polish admixture signal was detected in Zealand and Funen, and our date estimates coincided with historical evidence of Wend settlements in the south of Denmark. We also observed considerably diverse demographic histories among Scandinavian countries, with Denmark having the smallest current effective population size compared to Norway and Sweden. Finally, we found that polygenic prediction of self-reported adolescent height in the population was remarkably accurate (R2 = 0.639 ± 0.015). The high homogeneity of the Danish population could render population structure a lesser concern for the upcoming large-scale gene-mapping studies in the country.
Copyright © 2016 by the Genetics Society of America.

Keywords:  admixture; genetic prediction; human population genetics; polygenic risk score; population structure

Mesh:

Year:  2016        PMID: 27535931      PMCID: PMC5068857          DOI: 10.1534/genetics.116.189241

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


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