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Application of a New Method for GWAS in a Related Case/Control Sample with Known Pedigree Structure: Identification of New Loci for Nephrolithiasis
In contrast to large GWA studies based on thousands of individuals and large meta-analyses combining GWAS results, we analyzed a small case/control sample for uric acid nephrolithiasis. Our cohort of closely related individuals is derived from a small, genetically isolated village in Sardinia, with...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3024262/ https://www.ncbi.nlm.nih.gov/pubmed/21283782 http://dx.doi.org/10.1371/journal.pgen.1001281 |
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author | Tore, Silvia Casula, Stefania Casu, Giuseppina Concas, Maria Pina Pistidda, Paola Persico, Ivana Sassu, Alessandro Maestrale, Giovanni Battista Mele, Caterina Caruso, Maria Rosa Bonerba, Bibiana Usai, Paolo Deiana, Ivo Thornton, Timothy Pirastu, Mario Forabosco, Paola |
author_facet | Tore, Silvia Casula, Stefania Casu, Giuseppina Concas, Maria Pina Pistidda, Paola Persico, Ivana Sassu, Alessandro Maestrale, Giovanni Battista Mele, Caterina Caruso, Maria Rosa Bonerba, Bibiana Usai, Paolo Deiana, Ivo Thornton, Timothy Pirastu, Mario Forabosco, Paola |
author_sort | Tore, Silvia |
collection | PubMed |
description | In contrast to large GWA studies based on thousands of individuals and large meta-analyses combining GWAS results, we analyzed a small case/control sample for uric acid nephrolithiasis. Our cohort of closely related individuals is derived from a small, genetically isolated village in Sardinia, with well-characterized genealogical data linking the extant population up to the 16(th) century. It is expected that the number of risk alleles involved in complex disorders is smaller in isolated founder populations than in more diverse populations, and the power to detect association with complex traits may be increased when related, homogeneous affected individuals are selected, as they are more likely to be enriched with and share specific risk variants than are unrelated, affected individuals from the general population. When related individuals are included in an association study, correlations among relatives must be accurately taken into account to ensure validity of the results. A recently proposed association method uses an empirical genotypic covariance matrix estimated from genome-screen data to allow for additional population structure and cryptic relatedness that may not be captured by the genealogical data. We apply the method to our data, and we also investigate the properties of the method, as well as other association methods, in our highly inbred population, as previous applications were to outbred samples. The more promising regions identified in our initial study in the genetic isolate were then further investigated in an independent sample collected from the Italian population. Among the loci that showed association in this study, we observed evidence of a possible involvement of the region encompassing the gene LRRC16A, already associated to serum uric acid levels in a large meta-analysis of 14 GWAS, suggesting that this locus might lead a pathway for uric acid metabolism that may be involved in gout as well as in nephrolithiasis. |
format | Text |
id | pubmed-3024262 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-30242622011-01-31 Application of a New Method for GWAS in a Related Case/Control Sample with Known Pedigree Structure: Identification of New Loci for Nephrolithiasis Tore, Silvia Casula, Stefania Casu, Giuseppina Concas, Maria Pina Pistidda, Paola Persico, Ivana Sassu, Alessandro Maestrale, Giovanni Battista Mele, Caterina Caruso, Maria Rosa Bonerba, Bibiana Usai, Paolo Deiana, Ivo Thornton, Timothy Pirastu, Mario Forabosco, Paola PLoS Genet Research Article In contrast to large GWA studies based on thousands of individuals and large meta-analyses combining GWAS results, we analyzed a small case/control sample for uric acid nephrolithiasis. Our cohort of closely related individuals is derived from a small, genetically isolated village in Sardinia, with well-characterized genealogical data linking the extant population up to the 16(th) century. It is expected that the number of risk alleles involved in complex disorders is smaller in isolated founder populations than in more diverse populations, and the power to detect association with complex traits may be increased when related, homogeneous affected individuals are selected, as they are more likely to be enriched with and share specific risk variants than are unrelated, affected individuals from the general population. When related individuals are included in an association study, correlations among relatives must be accurately taken into account to ensure validity of the results. A recently proposed association method uses an empirical genotypic covariance matrix estimated from genome-screen data to allow for additional population structure and cryptic relatedness that may not be captured by the genealogical data. We apply the method to our data, and we also investigate the properties of the method, as well as other association methods, in our highly inbred population, as previous applications were to outbred samples. The more promising regions identified in our initial study in the genetic isolate were then further investigated in an independent sample collected from the Italian population. Among the loci that showed association in this study, we observed evidence of a possible involvement of the region encompassing the gene LRRC16A, already associated to serum uric acid levels in a large meta-analysis of 14 GWAS, suggesting that this locus might lead a pathway for uric acid metabolism that may be involved in gout as well as in nephrolithiasis. Public Library of Science 2011-01-20 /pmc/articles/PMC3024262/ /pubmed/21283782 http://dx.doi.org/10.1371/journal.pgen.1001281 Text en Tore et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Tore, Silvia Casula, Stefania Casu, Giuseppina Concas, Maria Pina Pistidda, Paola Persico, Ivana Sassu, Alessandro Maestrale, Giovanni Battista Mele, Caterina Caruso, Maria Rosa Bonerba, Bibiana Usai, Paolo Deiana, Ivo Thornton, Timothy Pirastu, Mario Forabosco, Paola Application of a New Method for GWAS in a Related Case/Control Sample with Known Pedigree Structure: Identification of New Loci for Nephrolithiasis |
title | Application of a New Method for GWAS in a Related Case/Control Sample with Known Pedigree Structure: Identification of New Loci for Nephrolithiasis |
title_full | Application of a New Method for GWAS in a Related Case/Control Sample with Known Pedigree Structure: Identification of New Loci for Nephrolithiasis |
title_fullStr | Application of a New Method for GWAS in a Related Case/Control Sample with Known Pedigree Structure: Identification of New Loci for Nephrolithiasis |
title_full_unstemmed | Application of a New Method for GWAS in a Related Case/Control Sample with Known Pedigree Structure: Identification of New Loci for Nephrolithiasis |
title_short | Application of a New Method for GWAS in a Related Case/Control Sample with Known Pedigree Structure: Identification of New Loci for Nephrolithiasis |
title_sort | application of a new method for gwas in a related case/control sample with known pedigree structure: identification of new loci for nephrolithiasis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3024262/ https://www.ncbi.nlm.nih.gov/pubmed/21283782 http://dx.doi.org/10.1371/journal.pgen.1001281 |
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