Literature DB >> 34203440

Genetic Ancestry Inference and Its Application for the Genetic Mapping of Human Diseases.

Eva Suarez-Pajes1, Ana Díaz-de Usera2, Itahisa Marcelino-Rodríguez1, Beatriz Guillen-Guio1, Carlos Flores1,2,3.   

Abstract

Admixed populations arise when two or more ancestral populations interbreed. As a result of this admixture, the genome of admixed populations is defined by tracts of variable size inherited from these parental groups and has particular genetic features that provide valuable information about their demographic history. Diverse methods can be used to derive the ancestry apportionment of admixed individuals, and such inferences can be leveraged for the discovery of genetic loci associated with diseases and traits, therefore having important biomedical implications. In this review article, we summarize the most common methods of global and local genetic ancestry estimation and discuss the use of admixture mapping studies in human diseases.

Entities:  

Keywords:  admixture mapping; ancestry informative markers; genetic ancestry; next-generation sequencing

Year:  2021        PMID: 34203440     DOI: 10.3390/ijms22136962

Source DB:  PubMed          Journal:  Int J Mol Sci        ISSN: 1422-0067            Impact factor:   5.923


  3 in total

1.  SALAI-Net: species-agnostic local ancestry inference network.

Authors:  Benet Oriol Sabat; Daniel Mas Montserrat; Xavier Giro-I-Nieto; Alexander G Ioannidis
Journal:  Bioinformatics       Date:  2022-09-16       Impact factor: 6.931

2.  Targeted analysis of genomic regions enriched in African ancestry reveals novel classical HLA alleles associated with asthma in Southwestern Europeans.

Authors:  Eva Suarez-Pajes; Claudio Díaz-García; Héctor Rodríguez-Pérez; Jose M Lorenzo-Salazar; Itahisa Marcelino-Rodríguez; Almudena Corrales; Xiuwen Zheng; Ariel Callero; Eva Perez-Rodriguez; Jose C Garcia-Robaina; Rafaela González-Montelongo; Carlos Flores; Beatriz Guillen-Guio
Journal:  Sci Rep       Date:  2021-12-08       Impact factor: 4.379

3.  GWAS in the southern African context.

Authors:  Yolandi Swart; Gerald van Eeden; Caitlin Uren; Gian van der Spuy; Gerard Tromp; Marlo Möller
Journal:  PLoS One       Date:  2022-09-28       Impact factor: 3.752

  3 in total

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