High differentiation among eight villages in a secluded area of Sardinia revealed by genome-wide high density SNPs analysis.

To better design association studies for complex traits in isolated populations it's important to understand how history and isolation moulded the genetic features of different communities. Population isolates should not "a priori" be considered homogeneous, even if the communities ar...

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Autores principales: Giorgio Pistis, Ignazio Piras, Nicola Pirastu, Ivana Persico, Alessandro Sassu, Andrea Picciau, Dionigio Prodi, Cristina Fraumene, Evelina Mocci, Maria Teresa Manias, Rossano Atzeni, Massimiliano Cosso, Mario Pirastu, Andrea Angius
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Publicado: Public Library of Science (PLoS) 2009
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spelling oai:doaj.org-article:a810b162271342638fb0494fcd2f77ee2021-11-25T06:17:00ZHigh differentiation among eight villages in a secluded area of Sardinia revealed by genome-wide high density SNPs analysis.1932-620310.1371/journal.pone.0004654https://doaj.org/article/a810b162271342638fb0494fcd2f77ee2009-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19247500/?tool=EBIhttps://doaj.org/toc/1932-6203To better design association studies for complex traits in isolated populations it's important to understand how history and isolation moulded the genetic features of different communities. Population isolates should not "a priori" be considered homogeneous, even if the communities are not distant and part of a small region. We studied a particular area of Sardinia called Ogliastra, characterized by the presence of several distinct villages that display different history, immigration events and population size. Cultural and geographic isolation characterized the history of these communities. We determined LD parameters in 8 villages and defined population structure through high density SNPs (about 360 K) on 360 unrelated people (45 selected samples from each village). These isolates showed differences in LD values and LD map length. Five of these villages show high LD values probably due to their reduced population size and extreme isolation. High genetic differentiation among villages was detected. Moreover population structure analysis revealed a high correlation between genetic and geographic distances. Our study indicates that history, geography and biodemography have influenced the genetic features of Ogliastra communities producing differences in LD and population structure. All these data demonstrate that we can consider each village an isolate with specific characteristics. We suggest that, in order to optimize the study design of complex traits, a thorough characterization of genetic features is useful to identify the presence of sub-populations and stratification within genetic isolates.Giorgio PistisIgnazio PirasNicola PirastuIvana PersicoAlessandro SassuAndrea PicciauDionigio ProdiCristina FraumeneEvelina MocciMaria Teresa ManiasRossano AtzeniMassimiliano CossoMario PirastuAndrea AngiusAndrea AngiusPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 4, Iss 2, p e4654 (2009)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Giorgio Pistis
Ignazio Piras
Nicola Pirastu
Ivana Persico
Alessandro Sassu
Andrea Picciau
Dionigio Prodi
Cristina Fraumene
Evelina Mocci
Maria Teresa Manias
Rossano Atzeni
Massimiliano Cosso
Mario Pirastu
Andrea Angius
Andrea Angius
High differentiation among eight villages in a secluded area of Sardinia revealed by genome-wide high density SNPs analysis.
description To better design association studies for complex traits in isolated populations it's important to understand how history and isolation moulded the genetic features of different communities. Population isolates should not "a priori" be considered homogeneous, even if the communities are not distant and part of a small region. We studied a particular area of Sardinia called Ogliastra, characterized by the presence of several distinct villages that display different history, immigration events and population size. Cultural and geographic isolation characterized the history of these communities. We determined LD parameters in 8 villages and defined population structure through high density SNPs (about 360 K) on 360 unrelated people (45 selected samples from each village). These isolates showed differences in LD values and LD map length. Five of these villages show high LD values probably due to their reduced population size and extreme isolation. High genetic differentiation among villages was detected. Moreover population structure analysis revealed a high correlation between genetic and geographic distances. Our study indicates that history, geography and biodemography have influenced the genetic features of Ogliastra communities producing differences in LD and population structure. All these data demonstrate that we can consider each village an isolate with specific characteristics. We suggest that, in order to optimize the study design of complex traits, a thorough characterization of genetic features is useful to identify the presence of sub-populations and stratification within genetic isolates.
format article
author Giorgio Pistis
Ignazio Piras
Nicola Pirastu
Ivana Persico
Alessandro Sassu
Andrea Picciau
Dionigio Prodi
Cristina Fraumene
Evelina Mocci
Maria Teresa Manias
Rossano Atzeni
Massimiliano Cosso
Mario Pirastu
Andrea Angius
Andrea Angius
author_facet Giorgio Pistis
Ignazio Piras
Nicola Pirastu
Ivana Persico
Alessandro Sassu
Andrea Picciau
Dionigio Prodi
Cristina Fraumene
Evelina Mocci
Maria Teresa Manias
Rossano Atzeni
Massimiliano Cosso
Mario Pirastu
Andrea Angius
Andrea Angius
author_sort Giorgio Pistis
title High differentiation among eight villages in a secluded area of Sardinia revealed by genome-wide high density SNPs analysis.
title_short High differentiation among eight villages in a secluded area of Sardinia revealed by genome-wide high density SNPs analysis.
title_full High differentiation among eight villages in a secluded area of Sardinia revealed by genome-wide high density SNPs analysis.
title_fullStr High differentiation among eight villages in a secluded area of Sardinia revealed by genome-wide high density SNPs analysis.
title_full_unstemmed High differentiation among eight villages in a secluded area of Sardinia revealed by genome-wide high density SNPs analysis.
title_sort high differentiation among eight villages in a secluded area of sardinia revealed by genome-wide high density snps analysis.
publisher Public Library of Science (PLoS)
publishDate 2009
url https://doaj.org/article/a810b162271342638fb0494fcd2f77ee
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