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Featured researches published by Kaisa Silander.


American Journal of Human Genetics | 2000

The Finland-United States investigation of non-insulin-dependent diabetes mellitus genetics (FUSION) study. I. An autosomal genome scan for genes that predispose to type 2 diabetes

Soumitra Ghosh; Richard M. Watanabe; Timo T. Valle; Elizabeth R. Hauser; Victoria L. Magnuson; Carl D. Langefeld; Delphine S. Ally; Karen L. Mohlke; Kaisa Silander; Kimmo Kohtamäki; Peter S. Chines; James E. Balow; Gunther Birznieks; Jennie Chang; William Eldridge; Michael R. Erdos; Zarir E. Karanjawala; Julie I. Knapp; Kristina Kudelko; Colin Martin; Anabelle Morales-Mena; Anjene Musick; Tiffany Musick; Carrie Pfahl; Rachel Porter; Joseph B. Rayman; David Rha; Leonid Segal; Shane Shapiro; Ben Shurtleff

We performed a genome scan at an average resolution of 8 cM in 719 Finnish sib pairs with type 2 diabetes. Our strongest results are for chromosome 20, where we observe a weighted maximum LOD score (MLS) of 2.15 at map position 69.5 cM from pter and secondary weighted LOD-score peaks of 2.04 at 56.5 cM and 1.99 at 17.5 cM. Our next largest MLS is for chromosome 11 (MLS = 1.75 at 84.0 cM), followed by chromosomes 2 (MLS = 0.87 at 5.5 cM), 10 (MLS = 0.77 at 75.0 cM), and 6 (MLS = 0.61 at 112.5 cM), all under an additive model. When we condition on chromosome 2 at 8.5 cM, the MLS for chromosome 20 increases to 5.50 at 69.0 cM (P=.0014). An ordered-subsets analysis based on families with high or low diabetes-related quantitative traits yielded results that support the possible existence of disease-predisposing genes on chromosomes 6 and 10. Genomewide linkage-disequilibrium analysis using microsatellite marker data revealed strong evidence of association for D22S423 (P=.00007). Further analyses are being carried out to confirm and to refine the location of these putative diabetes-predisposing genes.


American Journal of Human Genetics | 2000

The Finland-United States investigation of non-insulin-dependent diabetes mellitus genetics (FUSION) study. II. An autosomal genome scan for diabetes-related quantitative-trait loci

Richard M. Watanabe; Soumitra Ghosh; Carl D. Langefeld; Timo T. Valle; Elizabeth R. Hauser; Victoria L. Magnuson; Karen L. Mohlke; Kaisa Silander; Delphine S. Ally; Peter S. Chines; Jillian Blaschak-Harvan; Julie A. Douglas; William L. Duren; Michael P. Epstein; Tasha E. Fingerlin; Hong Shi Kaleta; Ethan M. Lange; Chun Li; Richard C. McEachin; Heather M. Stringham; Edward H. Trager; Peggy P. White; James E. Balow; Gunther Birznieks; Jennie Chang; William Eldridge; Michael R. Erdos; Zarir E. Karanjawala; Julie I. Knapp; Kristina Kudelko

Type 2 diabetes mellitus is a complex disorder encompassing multiple metabolic defects. We report results from an autosomal genome scan for type 2 diabetes-related quantitative traits in 580 Finnish families ascertained for an affected sibling pair and analyzed by the variance components-based quantitative-trait locus (QTL) linkage approach. We analyzed diabetic and nondiabetic subjects separately, because of the possible impact of disease on the traits of interest. In diabetic individuals, our strongest results were observed on chromosomes 3 (fasting C-peptide/glucose: maximum LOD score [MLS] = 3.13 at 53.0 cM) and 13 (body-mass index: MLS = 3.28 at 5.0 cM). In nondiabetic individuals, the strongest results were observed on chromosomes 10 (acute insulin response: MLS = 3.11 at 21.0 cM), 13 (2-h insulin: MLS = 2.86 at 65.5 cM), and 17 (fasting insulin/glucose ratio: MLS = 3.20 at 9.0 cM). In several cases, there was evidence for overlapping signals between diabetic and nondiabetic individuals; therefore we performed joint analyses. In these joint analyses, we observed strong signals for chromosomes 3 (body-mass index: MLS = 3.43 at 59.5 cM), 17 (empirical insulin-resistance index: MLS = 3.61 at 0.0 cM), and 19 (empirical insulin-resistance index: MLS = 2.80 at 74.5 cM). Integrating genome-scan results from the companion article by Ghosh et al., we identify several regions that may harbor susceptibility genes for type 2 diabetes in the Finnish population.


Diabetologia | 2004

Variation in the resistin gene is associated with obesity and insulin-related phenotypes in Finnish subjects

Karen N. Conneely; Kaisa Silander; Laura J. Scott; Karen L. Mohlke; K. N. Lazaridis; Timo T. Valle; J. Tuomilehto; Richard N. Bergman; Richard M. Watanabe; Thomas A. Buchanan; Francis S. Collins; Michael Boehnke

Aims/hypothesisResistin is a peptide hormone produced by adipocytes that is present at high levels in sera of obese mice and may be involved in glucose homeostasis through regulation of insulin sensitivity. Several studies in humans have found associations between polymorphisms in the resistin gene and obesity, insulin sensitivity and blood pressure. An association between variation in the resistin gene and Type 2 diabetes has been reported in some, but not all studies. The aim of this study was to analyse variants of the resistin gene for association with Type 2 diabetes and related traits in a Finnish sample.MethodsIn 781 cases with Type 2 diabetes, 187 spouse controls and 222 elderly controls of Finnish origin, we genotyped four previously identified non-coding single-nucleotide polymorphisms (SNPs): -420C>G from the promoter region, +156C>T and +298G>A from intron 2, and +1084G>A from the 3′ untranslated region. We then tested whether these SNPs were associated with Type 2 diabetes and related traits.ResultsThe SNPs were not significantly associated with Type 2 diabetes. However, SNPs −420C>G, +156C>T and +298G>A and the common haplotype for these three markers were associated with increased values of weight-related traits and diastolic blood pressure in cases, lower weight in elderly control subjects, and lower insulin sensitivity and greater acute insulin response in spouses. Furthermore, the +1084G allele was associated with lower HDL cholesterol in both cases and controls, higher systolic blood pressure and waist circumference in cases, and greater acute insulin response in spouse controls.Conclusions/interpretationOur results add to growing evidence that resistin is associated with variation in weight, fat distribution and insulin resistance.


Human Molecular Genetics | 2010

European lactase persistence genotype shows evidence of association with increase in body mass index

Johannes Kettunen; Kaisa Silander; Olli Saarela; Najaf Amin; Martina Müller; Nicholas J. Timpson; Ida Surakka; Samuli Ripatti; Jaana Laitinen; Anna-Liisa Hartikainen; Anneli Pouta; Päivi Lahermo; Verneri Anttila; Satu Männistö; Antti Jula; Jarmo Virtamo; Veikko Salomaa; Terho Lehtimäki; Olli T. Raitakari; Christian Gieger; Erich Wichmann; Cornelia van Duijn; George Davey Smith; Mark I. McCarthy; Marjo-Riitta Järvelin; Markus Perola; Leena Peltonen

The global prevalence of obesity has increased significantly in recent decades, mainly due to excess calorie intake and increasingly sedentary lifestyle. Here, we test the association between obesity measured by body mass index (BMI) and one of the best-known genetic variants showing strong selective pressure: the functional variant in the cis-regulatory element of the lactase gene. We tested this variant since it is presumed to provide nutritional advantage in specific physical and cultural environments. We genetically defined lactase persistence (LP) in 31 720 individuals from eight European population-based studies and one family study by genotyping or imputing the European LP variant (rs4988235). We performed a meta-analysis by pooling the β-coefficient estimates of the relationship between rs4988235 and BMI from the nine studies and found that the carriers of the allele responsible for LP among Europeans showed higher BMI (P = 7.9 × 10−5). Since this locus has been shown to be prone to population stratification, we paid special attention to reveal any population substructure which might be responsible for the association signal. The best evidence of exclusion of stratification came from the Dutch family sample which is robust for stratification. In this study, we highlight issues in model selection in the genome-wide association studies and problems in imputation of these special genomic regions.


Human Heredity | 2007

Subsets of Finns with High HDL to Total Cholesterol Ratio Show Evidence for Linkage to Type 2 Diabetes on Chromosome 6q

Corina Shtir; I. Sharon Nagakawa; William L. Duren; Karen N. Conneely; Laura J. Scott; Kaisa Silander; Timo T. Valle; Jaakko Tuomilehto; Thomas A. Buchanan; Richard N. Bergman; Francis S. Collins; Michael Boehnke; Richard M. Watanabe

Objectives: The purpose of this study was to examine carefully heterogeneity underlying evidence for linkage to type 2 diabetes (T2DM) on chromosome 6q from two sets of FUSION families. Methods: Ordered subsets analysis (OSA) was performed on two sets of FUSION families. For OSA results showing significant improvement in evidence for linkage, T2DM-related phenotypes were compared between individuals with T2DM within the subset versus the complement. Results: OSA analysis revealed 105 families with the highest average HDL to total cholesterol ratio (HDL ratio) that had strongly increased evidence for linkage (MLS = 7.91 at 78.0 cM; uncorrected p = 0.00002). Subjects with T2DM within this subset were significantly leaner, had lower fasting glucose, insulin, and C-peptide, and more favorable cardiovascular risk profile compared to the complement set of subjects with T2DM. OSA also revealed 33 families with the lowest average fasting insulin that had increased evidence for linkage at a second locus (MLS = 3.45 at 128 cM; uncorrected p = 0.017) coincident with quantitative trait locus linkage analysis results for fasting and 2-hour insulin in subjects without T2DM. Conclusions: These results suggest two diabetes susceptibility loci on chromosome 6q that may affect subsets of individuals with a milder form of T2DM.


Diabetes | 2004

Genetic Variation Near the Hepatocyte Nuclear Factor-4α Gene Predicts Susceptibility to Type 2 Diabetes

Kaisa Silander; Karen L. Mohlke; Laura J. Scott; Erin C. Peck; Pablo Hollstein; Andrew D. Skol; Anne U. Jackson; Panagiotis Deloukas; Sarah Hunt; George Stavrides; Peter S. Chines; Michael R. Erdos; Karen N. Conneely; Chun Li; Tasha E. Fingerlin; Sharanjeet K. Dhanjal; Timo T. Valle; Richard N. Bergman; Jaakko Tuomilehto; Richard M. Watanabe; Michael Boehnke; Francis S. Collins


Diabetes | 2004

A Large Set of Finnish Affected Sibling Pair Families With Type 2 Diabetes Suggests Susceptibility Loci on Chromosomes 6, 11, and 14

Kaisa Silander; Laura J. Scott; Timo T. Valle; Karen L. Mohlke; Heather M. Stringham; Kerry R. Wiles; William L. Duren; Kimberly F. Doheny; Elizabeth W. Pugh; Peter S. Chines; Peggy P. White; Tasha E. Fingerlin; Anne U. Jackson; Chun Li; Soumitra Ghosh; Victoria L. Magnuson; Kimberly Colby; Michael R. Erdos; Jason E. Hill; Pablo Hollstein; Kathleen M. Humphreys; Roshni A. Kasad; Jessica Lambert; Konstantinos N. Lazaridis; George Lin; Anabelle Morales-Mena; Kristin Patzkowski; Carrie Pfahl; Rachel Porter; David Rha


Diabetes | 2003

Variation in Resistin Gene Promoter Not Associated With Polycystic Ovary Syndrome

Margrit Urbanek; Yangzhu Du; Kaisa Silander; Francis S. Collins; Claire M. Steppan; Jerome F. Strauss; Andrea Dunaif; Richard S. Spielman; Richard S. Legro


Diabetes | 2002

Variation in three single nucleotide polymorphisms in the calpain-10 gene not associated with type 2 diabetes in a large Finnish cohort

Tasha E. Fingerlin; Michael R. Erdos; Richard M. Watanabe; Kerry R. Wiles; Heather M. Stringham; Karen L. Mohlke; Kaisa Silander; Timo T. Valle; Thomas A. Buchanan; Jaakko Tuomilehto; Richard N. Bergman; Michael Boehnke; Francis S. Collins


Genome Research | 2001

Linkage disequilibrium between microsatellite markers extends beyond 1 cM on chromosome 20 in Finns.

Karen L. Mohlke; Ethan M. Lange; Timo T. Valle; Soumitra Ghosh; Victoria L. Magnuson; Kaisa Silander; Richard M. Watanabe; Peter S. Chines; Richard N. Bergman; Jaakko Tuomilehto; Francis S. Collins; Michael Boehnke

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Timo T. Valle

National Institute for Health and Welfare

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Karen L. Mohlke

University of North Carolina at Chapel Hill

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Richard M. Watanabe

University of Southern California

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Francis S. Collins

National Institutes of Health

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Peter S. Chines

National Institutes of Health

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Richard N. Bergman

Cedars-Sinai Medical Center

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Michael R. Erdos

National Institutes of Health

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