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Riika Kilpikari

Publications and source records attributed to Riika Kilpikari.

6 recordsLinked to original sources

Risk alleles of USF1 gene predict cardiovascular disease of women in two prospective studies.

Upstream transcription factor 1 (USF1) is a ubiquitously expressed transcription factor controlling several critical genes in lipid and glucose metabolism. Of some 40 genes regulated by USF1, several are involved in the molecular pathogenesis of cardiovascular disease (CVD). Although the USF1 gene has been shown to have a critical role in the etiology of familial combined hyperlipidemia, which predisposes to early CVD, the gene's potential role as a risk factor for CVD events at the population level has not been established. Here we report the results from a prospective genetic-epidemiological study of the association between the USF1 variants, CVD, and mortality in two large Finnish cohorts. Haplotype-tagging single nucleotide polymorphisms exposing all common allelic variants of USF1 were genotyped in a prospective case-cohort design with two distinct cohorts followed up during 1992-2001 and 1997-2003. The total number of follow-up years was 112,435 in 14,140 individuals, of which 2,225 were selected for genotyping based on the case-cohort study strategy. After adjustment for conventional risk factors, we observed an association of USF1 with CVD and mortality among females. In combined analysis of the two cohorts, female carriers of a USF1 risk haplotype had a 2-fold risk of a CVD event (hazard ratio [HR] 2.02; 95% confidence interval [CI] 1.16-3.53; p = 0.01) and an increased risk of all-cause mortality (HR 2.52; 95% CI 1.46-4.35; p = 0.0009). A putative protective haplotype of USF1 was also identified. Our study shows how a gene identified in exceptional families proves to be important also at the population level, implying that allelic variants of USF1 significantly influence the prospective risk of CVD and even all-cause mortality in females.

Adult↗

Association analysis of the AIRE and insulin genes in Finnish type 1 diabetic patients.

Mutations in the autoimmune regulator (AIRE) gene cause a recessive Mendelian disorder autoimmune polyendocrinopathy syndrome type 1 (APS-1 or autoimmune polyendocrinopathy-candidiasis-ectodermal dystrophy). APS-1 patients develop multiorgan autoimmune diseases including type 1 diabetes (prevalence 12%). The AIRE protein controls the central tolerance induction in the thymus by regulating the expression levels of tissue-specific peripheral antigens, such as insulin. We hypothesized that the insulin gene (INS) polymorphisms together with the AIRE variations may predispose individuals to diabetes. The role of the AIRE gene was tested both independently and on the condition of the INS risk genotype in the Finnish type 1 diabetes sample. A total of 733 type 1 diabetic cases and 735 age- and sex-matched healthy controls were used in the analysis. Five common single nucleotide polymorphisms (SNPs) in the AIRE gene were selected from the public database (dbSNP). The -23HphI polymorphism was used as a surrogate marker for the INS gene promoter repeat. The five genotyped SNPs in the AIRE gene showed no evidence of association with type 1 diabetes. As expected, the INS gene polymorphism -23HphI was significantly associated with susceptibility to type 1 diabetes (P=6.8 x 10(-12), chi(2) test). When the subclass of patients carrying the homozygote genotype of the INS gene was used in the analysis, the AIRE polymorphisms showed no association with the disease. In conclusion, the AIRE gene does not seem to contribute to disease susceptibility in Finnish type 1 diabetic patients, whereas the insulin gene represents a notable risk factor for disease in this population.

Adult↗

Functional analysis of SAND mutations in AIRE supports dominant inheritance of the G228W mutation.

Autoimmune polyendocrinopathy candidiasis ectodermal dystrophy (APECED) is a rare disorder caused by mutations in the autoimmune regulator gene (AIRE) and characterized by a variable combination of organ-specific autoimmune diseases. Studies on AIRE-deficient mice suggest that AIRE is an important factor in the establishment and maintenance of self-tolerance. The AIRE protein contains several structural domains often found in transcriptional regulators and functions as a transcriptional transactivator in vitro. To date, more than 50 patient mutations have been identified in the coding region of the AIRE gene. So far, APECED has been reported to be inherited in an autosomal recessive manner. However, in contrast to all other AIRE mutations, a novel mutation c.682T>G (p.G228W) in the DNA-binding and/or multimerization domain SAND was recently described to be inherited in a dominant fashion. We analyzed the effects of mutant AIRE proteins containing the patient mutations c.682T>G (p.G228W) and c.755C>T (p.P252L) located in the SAND domain on the properties of the wild-type AIRE in a heterozygous situation in vitro. In addition to the patient mutations, we analyzed the effects of a double mutation [c.727A>G;c.728A>C;c.739C>G;c740G>C] (p.K243A;R247A) of positively charged amino acids in the SAND domain. Of the mutants studied, only c.682T>G (p.G228W) mutant changed the subcellular localization and in addition severely disrupted the transactivating capacity of the wild-type AIRE. Our results indicate that the c.682T>G (p.G228W) mutant AIRE protein acts with a dominant negative effect by binding to the wild-type AIRE, thus preventing the protein from forming the complexes needed for transactivation.

Animals↗

Bayesian analysis of multilocus association in quantitative and qualitative traits.

A Bayesian model-based method for multilocus association analysis of quantitative and qualitative (binary) traits is presented. The method selects a trait-associated subset of markers among candidates, and is equally applicable for analyzing wide chromosomal segments (genome scans) and small candidate regions. The method can be applied in situations involving missing genotype data. The number of trait loci, their marker positions, and the magnitudes of their gene effects (strengths of association) are all estimated simultaneously. The inference of parameters is based on their posterior distributions, which are obtained through Markov chain Monte Carlo simulations. The strengths of the approach are: 1) flexible use of oligogenic models with unknown number of loci, 2) performing the estimation of association jointly with model selection, and 3) avoidance of the multiple testing problem, which typically complicates the approaches based on association testing. The performance of the method was tested and compared to the multilocus conditional search procedure by analyzing two simulated data sets. We also applied the method to cystic fibrosis haplotype data (two-locus haplotypes), where gene position has already been identified. The method is implemented as a software package, which is freely available for research purposes under the name BAMA.

Algorithms↗

Criteria for selective screening for Chlamydia trachomatis.

BACKGROUND: On the basis of studies in ethnically diverse populations, it appears that the best strategy for prevention of infections is screening of all women aged 25 years or younger. GOAL: The goal was to determine screening criteria in an ethnically and socioeconomically homogenous population with low prevalence of genital chlamydia infection. STUDY DESIGN: Women (N = 1198) attending two family planning clinics were screened for and surveyed for risk factors. Data were analyzed with multivariate logistic regression. RESULTS: The overall prevalence of infection was 3.5%. Risk markers for the infection included marital status, number of sex partners, and age. Screening women aged 25 years or younger would have identified 28% of all chlamydial infections, while screening all women aged 30 years or younger would have identified 83% of infections. CONCLUSION: Because of its feasibility, age appears to still be the best screening criterion. However, extension of the screening to include women up to 30 years of age should be considered.

Adolescent↗

The SLC6A14 gene shows evidence of association with obesity.

In our previous genome-wide scan of Finnish nuclear families, obesity was linked to chromosome Xq24. Here we analyzed this 15-Mb region by genotyping 9 microsatellite markers and 36 single nucleotide polymorphisms (SNPs) for 11 positional and functional candidate genes in an extended sample of 218 obese Finnish sibling pairs (sibpairs) (BMI > 30 kg/m2). Evidence of linkage emerged mainly from the obese male sibpairs, suggesting a gender-specific effect for the underlying gene. By constructing haplotypes among the obese male sibpairs, we restricted the region from 15 Mb to 4 Mb, between markers DXS8088 and DXS8067. Regional functional candidate genes were tested for association in an initial sample of 117 cases and 182 controls. Significant evidence was observed for association for an SNP in the 3'-untranslated region of the solute carrier family 6 member 14 (SLC6A14) gene (P = 0.0002) and for SNP haplotypes of the SLC6A14 gene (P = 0.0007-0.006). Furthermore, an independent replication study sample of 837 cases and 968 controls from Finland and Sweden also showed significant differences in allele frequencies between obese and non-obese individuals (P = 0.003). The SLC6A14 gene is an interesting novel candidate for obesity because it encodes an amino acid transporter, which potentially regulates tryptophan availability for serotonin synthesis and thus possibly affects appetite control.

Adult↗