Biomedical subjects

Ivan Iachine

Publications and source records attributed to Ivan Iachine.

8 recordsLinked to original sources

PubMed2006

Genetic and environmental interrelations between measurements of thyroid function in a healthy Danish twin population.

Serum thyrotropin (TSH), free thyroxine (T4), and free triiodothyronine (T3) levels illustrate the thyroid function set point, but the interrelations between these have never been characterized in detail. The aim of this study was to examine the associations between TSH and thyroid hormone levels in healthy euthyroid twins and to determine the extent to which the same genes influence more than one of these biochemical traits; 1,380 healthy euthyroid Danish twins (284 monozygotic, 286 dizygotic, 120 opposite-sex twin pairs) were recruited. Genetic and environmental associations between thyroid function measurements were examined using quantitative genetic modeling. In bivariate genetic models, the phenotypic relation between two measurements was divided into genetic and environmental correlations. Free T4 and free T3 levels were positively correlated (r=0.32, P<0.0001). The genetic correlation between serum free T4 and free T3 levels was rg=0.25 (95% CI 0.14-0.35), suggesting that a set of common genes affect both phenotypes (pleiotropy). The correlation between the environmental effects was re=0.41 (0.32-0.50). From this we calculated that the proportion of the correlation between free T4 and free T3 levels mediated by common genetic factors was 48%. Only 7% of the genetic component of serum free T3 levels is shared with serum free T4. Serum TSH and thyroid hormone levels did not share any genetic influences. In conclusion, thyroid hormone levels are partly genetically correlated genes that affect free T4 levels and exert pleiotropic effects on free T3 levels, although most of the genetic variance for these measurements is trait specific.

Adult↗

PubMed2006

Genetic influence on human lifespan and longevity.

There is an intense search for longevity genes in both animal models and humans. Human family studies have indicated that a modest amount of the overall variation in adult lifespan (approximately 20-30%) is accounted for by genetic factors. But it is not known if genetic factors become increasingly important for survival at the oldest ages. We study the genetic influence on human lifespan and how it varies with age using the almost extinct cohorts of Danish, Finnish and Swedish twins born between 1870 and 1910 comprising 20,502 individuals followed until 2003-2004. We first estimate mean lifespan of twins by lifespan of co-twin and then turn to the relative recurrence risk of surviving to a given age. Mean lifespan for male monozygotic (MZ) twins increases 0.39 [95% CI (0.28, 0.50)] years for every year his co-twin survives past age 60 years. This rate is significantly greater than the rate of 0.21 (0.11, 0.30) for dizygotic (DZ) males. Females and males have similar rates and these are negligible before age 60 for both MZ and DZ pairs. We moreover find that having a co-twin surviving to old ages substantially and significantly increases the chance of reaching the same old age and this chance is higher for MZ than for DZ twins. The relative recurrence risk of reaching age 92 is 4.8 (2.2, 7.5) for MZ males, which is significantly greater than the 1.8 (0.10, 3.4) for DZ males. The patterns for females and males are very similar, but with a shift of the female pattern with age that corresponds to the better female survival. Similar results arise when considering only those Nordic twins that survived past 75 years of age. The present large population based study shows genetic influence on human lifespan. While the estimated overall strength of genetic influence is compatible with previous studies, we find that genetic influences on lifespan are minimal prior to age 60 but increase thereafter. These findings provide a support for the search for genes affecting longevity in humans, especially at advanced ages.

Adolescent↗

PubMed2006

The relative importance of genetic and environmental effects for the early stages of thyroid autoimmunity: a study of healthy Danish twins.

OBJECTIVE: In euthyroid individuals, autoantibodies to thyroid peroxidase (TPOab) and thyroglobulin (Tgab) are regarded as early markers of thyroid autoimmunity. Family and twin studies suggest that development of thyroid autoantibodies in first-degree relatives of patients with autoimmune thyroid disease is under genetic influence. We aimed to estimate the relative importance of genetic and environmental effects for the presence of thyroid autoantibodies in euthyroid subjects. METHODS: A representative sample of healthy twin pairs was identified through the Danish Twin Registry; 1372 individuals, divided into 283 monozygotic (MZ), 285 dizygotic same sex (DZ), and 118 opposite sex twin pairs were investigated. Serum TPOab and serum Tgab were measured. Proband-wise concordance and intraclass correlations were calculated, and quantitative genetic modelling was performed. RESULTS: Probandwise concordance and intraclass correlations were consistently higher for MZ than for DZ twin pairs indicating genetic influence. Genetic components (with 95% confidence intervals) accounted for 73% (46-89%) of the liability of being thyroid antibody positive. Adjusting for covariates (age, TSH and others), the estimate for genetic influence on serum TPOab concentrations was 61% (49-70%) in males and 72% (64-79%) in females. For serum Tgab concentrations, the estimates were 39% (24-51%) and 75% (66-81%) respectively. CONCLUSIONS: Early markers of thyroid autoimmunity appear to be under strong genetic influence. The analyses suggest that it is the same set of genes that operate in males and females. However, complex mechanisms such as dominance and/or epistasis may be involved.

Adult↗

PubMed2005

The relative importance of genetic and environmental factors in the aetiology of thyroid nodularity: a study of healthy Danish twins.

BACKGROUND: A large proportion of healthy, euthyroid, nongoitrous individuals have thyroid nodules. The aetiology of these ultrasonographically detected morphological abnormalities is largely unknown. Factors such as age, gender, iodine intake, smoking and parity are associated with nodularity of the thyroid. Whether there is a genetic susceptibility is unclear. AIM: To gain insight into the aetiology of thyroid nodularity by investigating a large cohort of healthy euthyroid monozygotic and dizygotic twins. DESIGN: A cross-sectional twin study. PARTICIPANTS: A representative sample of self-reported healthy twin pairs was identified through the Danish Twin Registry. A total of 520 individuals divided into 104 monozygotic (MZ), 107 dizygotic same sex (DZ) and 49 opposite sex (OS) twin pairs were investigated. MEASUREMENTS: Probandwise concordance and tetrachoric correlations. Quantitative genetic modelling was used to elucidate the relative importance of genetic and environmental effects for the variation in the liability of nodularity. RESULTS: A higher concordance rate for thyroid nodularity was found in MZ twins [0.57 (95% CI 0.36-0.76)] than in DZ twins [0.36 (95% CI 0.17-0.56, P = 0.074)]. The same was true for tetrachoric correlations: 0.67 (95% CI 0.34-0.87) in MZ twins and 0.17 (CI - 0.28-0.56, P = 0.053) in DZ twins. The difference, although not significant, was more pronounced for multiple nodules than for solitary nodules. Controlling for covariates (age, gender and smoking habits), it was calculated that genetic factors accounted for 67% (95% CI 35-87%) and environmental factors for 33% (95% CI 13-65%) of the individual differences in the liability to thyroid nodularity. CONCLUSIONS: This study suggests that genetic factors are of aetiological importance for thyroid nodularity in clinically healthy and euthyroid individuals, and indicates a difference in the aetiology of solitary and multiple thyroid nodules.

Adult↗

PubMed2003

Preliminary evidence of genetic anticipation in Graves' disease.

Despite strong epidemiologic evidence in favor of a genetic component in the etiology of Graves' disease, few hereditary risk factors have been consistently identified. The term genetic anticipation denotes a decrease in the age of onset as disease is passed through generations. In the past 5 years, genetic anticipation has been described in immune-mediated diseases such as rheumatoid arthritis and chronic inflammatory bowel disease, and recently this phenomenon has been linked to unstable expanded trinucleotide repeat sequences in several diseases. If present in Graves' disease, anticipation could provide clues to its genetic etiology. The aim of the present study was to investigate whether genetic anticipation may occur in Graves' disease. Age at diagnosis and age at ascertainment were registered and compared in 33 same-gender parent-offspring pairs with Graves' disease from multiply affected families primarily ascertained for a genetic linkage study. The mean age at diagnosis was 46.6 years (range, 16-77) in the parents and 34.1 years (range, 16-44) in the children. The difference in the mean age at diagnosis between parents and their children was 12.5 years (95% confidence interval 3.0-21.9), p = 0.010. Children were younger than their parents at diagnosis in 25 of 33 pairs (76%). In 7 pairs (21%), the parent was diagnosed after the child according to the calendar years. Essentially similar results were obtained after controlling for gender and smoking habits. In conclusion, our data suggest that patients in the second affected generation seem to acquire their disease at an earlier time in life in familial cases of Graves' disease, indicating that genetic anticipation might occur.

Adolescent↗

PubMed2003

Theory and practice in quantitative genetics.

With the rapid advances in molecular biology, the near completion of the human genome, the development of appropriate statistical genetic methods and the availability of the necessary computing power, the identification of quantitative trait loci has now become a realistic prospect for quantitative geneticists. We briefly describe the theoretical biometrical foundations underlying quantitative genetics. These theoretical underpinnings are translated into mathematical equations that allow the assessment of the contribution of observed (using DNA samples) and unobserved (using known genetic relationships) genetic variation to population variance in quantitative traits. Several statistical models for quantitative genetic analyses are described, such as models for the classical twin design, multivariate and longitudinal genetic analyses, extended twin analyses, and linkage and association analyses. For each, we show how the theoretical biometrical model can be translated into algebraic equations that may be used to generate scripts for statistical genetic software packages, such as Mx, Lisrel, SOLAR, or MERLIN. For using the former program a web-library (available from http://www.psy.vu.nl/mxbib) has been developed of freely available scripts that can be used to conduct all genetic analyses described in this paper.

Genetic Linkage↗

PubMed2003

Longevity studies in GenomEUtwin.

Previous twin studies have indicated that approximately 25% of the variation in life span can be attributed to genetic factors and recent studies have also suggested a moderate clustering of extreme longevity within families. Here we discuss various definitions of extreme longevity and some analytical approaches with special attention to the challenges due to censored data. Lexis diagrams are provided for the Danish, Dutch, Finnish, Italian, Norwegian, and Swedish Twin registries hereby outlining possibilities for longevity studies within GenomEUtwin. We extend previous analyses of lifespan for the Danish 1870-1900 twin cohorts to include the new 1901-1910 cohorts, which are consistent with the previous findings. The size of the twin cohorts in GenomEUtwin and the existence of population-based, nationwide health and death registers make epidemiological studies of longevity very powerful. The combined GenomEUtwin sample will also allow detailed age-specific heritability analyses of lifespan. Finally, it will provide a resource for identifying unusual sibships (i.e., dizygotic twin pairs) where both survived to extreme ages, as a basis for discovering genetic variants of importance for extreme survival.

Adult↗

PubMed2002

Analysis of functional abilities for elderly Danish twins using GEE models.

In this work we present a new method for genetic analysis of twin data which is based on generalized estimating equations and allows for analysis of various response types (e.g., continuous, binary, counts) combined with estimation of residual correlations. The new approach allows for control of covariates of any kind (e.g., continuous, counts) by modeling the dependence of mean and variance on background variables. The proposed method was applied to identify the covariates that have a significant influence on elderly people's functional abilities, and find the estimates for the correlation coefficients of residuals for MZ and DZ twins in a sample of 2401 Danish twin 75 years of age or older. The bootstrap method was used to obtain standard errors for correlation coefficients. It was shown, that the chosen covariates have similar effects on MZ and DZ twins, and that the residual correlation in MZ twins is significantly higher than in DZ twins, which indicates that genetic factors play an etiological role in the determination of physical status of elderly people, controlled for 10 background variables.

Activities of Daily Living↗