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2.
BMC Med Genet ; 10: 81, 2009 Aug 28.
Article in English | MEDLINE | ID: mdl-19715579

ABSTRACT

BACKGROUND: A multiplicity of study designs such as gene candidate analysis, genome wide search (GWS) and, recently, whole genome association studies have been employed for the identification of the genetic components of essential hypertension (EH). Several genome-wide linkage studies of EH and blood pressure-related phenotypes demonstrate that there is no single locus with a major effect while several genomic regions likely to contain EH-susceptibility loci were validated by multiple studies. METHODS: We carried out the clinical assessment of the entire adult population in a Sardinian village (Talana) and we analyzed 16 selected families with 62 hypertensive subjects out of 267 individuals. We carried out a double GWS using a set of 902 uniformly spaced microsatellites and a high-density SNPs map on the same group of families. RESULTS: Three loci were identified by both microsatellites and SNP scans and the obtained linkage results showed a remarkable degree of similarity. These loci were identified on chromosome 2q24, 11q23.1-25 and 13q14.11-21.33. Further support to these findings is their broad description present in literature associated to EH or related phenotypes. Bioinformatic investigation of these loci shows several potential EH candidate genes, several of whom already associated to blood pressure regulation pathways. CONCLUSION: Our search for major susceptibility EH genetic factors evidences that EH in the genetic isolate of Talana is due to the contribution of several genes contained in loci identified and replicated by earlier findings in different human populations.


Subject(s)
Hypertension/genetics , Lod Score , Microsatellite Repeats/genetics , Polymorphism, Single Nucleotide , Adult , Aged , Female , Genetic Predisposition to Disease , Genome-Wide Association Study , Humans , Italy , Male , Middle Aged , Pedigree
3.
PLoS One ; 4(2): e4654, 2009.
Article in English | MEDLINE | ID: mdl-19247500

ABSTRACT

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.


Subject(s)
Genetics, Population , Genome, Human , Polymorphism, Single Nucleotide , Rural Population , Humans , Italy , Linkage Disequilibrium
4.
J Invest Dermatol ; 128(9): 2268-70, 2008 Sep.
Article in English | MEDLINE | ID: mdl-18385763

ABSTRACT

Androgenetic alopecia (AGA) is a common heritable polygenic disorder whose genetics is not fully understood, even though it seems to be X-linked. We carried out an epidemiological survey for AGA on 9,000 people from 8 isolated villages of a secluded region of Sardinia (Ogliastra), and identified a large cohort of affected individuals. We genotyped 200 cases and 200 controls (mean kinship 0.001) with the 500k chip array and conducted case-control association analysis on the X chromosome. We identified Xq11-q12 as strongly associated with AGA. In particular, we found that rs1352015 located 8 kb from the EDA2R gene showed the best result (P=7.77e(-7)). This region also contains the AR gene, hence we tested both genes in 492 cases and 492 controls. We found that the non-synonymous SNP rs1385699 on EDA2R gave the best result (P=3.9e(-19)) whereas rs6152 on the AR gene is less significant (P=4.17e(-12)). Further statistical analysis carried out by conditioning each gene to the presence of the other showed that the association with EDA2R is independent while the association with AR seems to be the result of linkage disequilibrium. These results give insight into the pathways involved in AGA etiology.


Subject(s)
Alopecia/genetics , Polymorphism, Single Nucleotide/genetics , Xedar Receptor/genetics , Adult , Alopecia/ethnology , Case-Control Studies , Chromosomes, Human, X/genetics , Cohort Studies , Genetic Predisposition to Disease , Humans , Italy , Linkage Disequilibrium/genetics , Male , Middle Aged , Oligonucleotide Array Sequence Analysis , Receptors, Androgen/genetics
5.
Am J Hum Genet ; 75(6): 1015-31, 2004 Dec.
Article in English | MEDLINE | ID: mdl-15478097

ABSTRACT

A powerful approach to mapping the genes for complex traits is to study isolated founder populations, in which genetic heterogeneity and environmental noise are likely to be reduced and in which extended genealogical data are often available. Using graph theory, we applied an approach that involved sampling from the large number of pairwise relationships present in an extended genealogy to reconstruct sets of subpedigrees that maximize the useful information for linkage mapping while minimizing calculation burden. We investigated, through simulation, the properties of the different sets in terms of bias in identity-by-descent (IBD) estimation and power decrease under various genetic models. We applied this approach to a small isolated population from Sardinia, the village of Talana, consisting of a unique large and complex pedigree, and performed a genomewide search through variance-components linkage analysis for serum lipid levels. We identified a region of significant linkage on chromosome 2 for total serum cholesterol and low-density lipoprotein (LDL) cholesterol. Through higher-density mapping, we obtained an increased linkage for both traits on 2q21.2-q24.1, with a LOD score of 4.3 for total serum cholesterol and of 3.9 for LDL cholesterol. A replication study was performed in an independent and larger set from a genetically differentiated isolated population of the same region of Sardinia, the village of Perdasdefogu. We obtained consistent linkage to the region for total serum cholesterol (LOD score 1.4) and LDL cholesterol (LOD score 2.2), with a level of concordance uncommon for complex traits, and refined the location of the quantitative-trait locus. Interestingly, the 2q21.1-22 region has also been linked to premature coronary heart disease in Finns, and, in the adjacent 2q14 region, significant linkage with triglycerides has been reported in Hutterites.


Subject(s)
Cholesterol, LDL/genetics , Cholesterol/genetics , Chromosome Mapping/methods , Genome, Human , Quantitative Trait Loci/genetics , Cholesterol/blood , Cholesterol, LDL/blood , Chromosomes, Human, Pair 2/genetics , Computer Simulation , Genotype , Humans , Italy , Linear Models , Lod Score , Pedigree
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