titoli, abstracts, parole chiave >>>
A Genomic map of positive selection in Sardinia

Floris, Matteo (2017) A Genomic map of positive selection in Sardinia. Doctoral Thesis.

[img]
Preview
Full text disponibile come PDF Richiede visualizzatore di PDF come GSview, Xpdf o Adobe Acrobat Reader
6Mb

Abstract

The recent production of population-scale genomic data offers an unprecedented opportunity to understand how natural selection has shaped human phenotypic variation within populations. To identify signatures of recent positive selection in Sardinia, we used 23 million single nucleotide polymorphisms from low-coverage whole genomes of 3,514 Sardinians along with data from the 1000 Genomes project. Using single-population (iHS, nSL) and cross-population (Fst, PBS, XP-EHH) based statistics, we found many genetic regions showing evidence of positive selection. We found that selection statistics computed for outlier variants cannot be explained by neutral forces alone. By intersecting genome-wide association study data for hundreds of traits measured in Sardinians with publicy available functional genomic databases, we found that autoimmunity-related genes are enriched for these putatively adaptive variants.
Taken together, these results illustrate the importance of characterizing the phenotypic variation within a population, and especially the utility of whole-genome-sequence data, when proposing and interpreting genetic signatures of positive selection.

Item Type:Doctoral Thesis
ID Code:11605
Contributors:Cucca, Francesco
Publisher:Universita' degli studi di Sassari
Uncontrolled Keywords:Genetics, genomics, positive selection, Sardinia
Subjects:Area 06 - Scienze mediche > MED/03 Genetica medica
Divisions:001 Università di Sassari > 01-a Nuovi Dipartimenti dal 2012 > Scienze Biomediche
Cicli, scuole e corsi:Ciclo 29 > Scienze biomediche > Genetica medica
Deposited On:18 Sep 2017 13:24

I documenti depositati in UnissResearch sono protetti dalle leggi che regolano il diritto d'autore

Repository Staff Only: item control page