Congenic strain confirms putative quantitative trait locus for body weight in the rat

Identification of genetic loci involved in diabetes using a rat model of depression

While diabetic patients often present with comorbid depression, the underlying mechanisms linking diabetes and depression are unknown. The Wistar Kyoto (WKY) rat is a well-known animal model of depression and stress hyperreactivity. In addition, the WKY rat is glucose intolerant and likely harbors diabetes susceptibility alleles. We conducted a quantitative trait loci (QTL) analysis in the segregating F(2) population of a WKY x Fischer 344 (F344) intercross. We previously published QTL analyses for depressive behavior and hypothalamic-pituitary-adrenal (HPA) activity in this cross. In this study we report results from the QTL analysis for multiple metabolic phenotypes, including fasting glucose, post-restraint stress glucose, postprandial glucose and insulin, and body weight. We identified multiple QTLs for each trait and many of the QTLs overlap with those previously identified using inbred models of type 2 diabetes (T2D). Significant correlations were found between metabolic traits and HPA axis measures, as well as forced swim test behavior. Several metabolic loci overlap with loci previously identified for HPA activity and forced swim behavior in this F(2) intercross, suggesting that the genetic mechanisms underlying these traits may be similar. These results indicate that WKY rats harbor diabetes susceptibility alleles and suggest that this strain may be useful for dissecting the underlying genetic mechanisms linking diabetes, HPA activity, and depression.

Rats with inherited stress-induced arterial hypertension (ISIAH strain) display specific quantitative trait loci for blood pressure and for body and kidney weight on chromosome 1

1. The aim of the present study was to scan chromosome 1 in the hypertensive 'inherited stress-induced arterial hypertension' (ISIAH) rat strain for the quantitative trait loci (QTL) that control basal and stress-induced arterial blood pressure (ABP) levels and weight traits. 2. Two F(2) populations of 3-4- and 6-month-old male rats derived from a cross between the normotensive Wistar albino Glaxo (WAG) and hypertensive ISIAH rats were used in the search for the QTL. To identify the QTL for blood pressure (basal and under stress) and weight traits (bodyweight, as well as the weight of the adrenals, kidney and heart), 12 polymorphic markers covering a span of 234.6 Mb on chromosome 1 were analysed. 3. In 3-4-month-old rats, QTL were found for bodyweight in the vicinity of the D1Rat76 marker (230.6 Mb; P = 0.0019; logarithm of odds (LOD) score 3.23) and for relative kidney weight in the vicinity of the D1Rat117 marker (219.3 Mb; P = 0.000992; LOD score 3.41). No QTL for blood pressure were detected on chromosome 1 in the 3-4-month-old population. 4. In 6-month-old rats, a QTL for basal ABP in the region spanning 168.0-250.4 Mb, with two peaks around the markers D1Rat168 (204.8 Mb; P = 0.00087; LOD score 3.42) and D1Rat76 (P = 0.0006; LOD score 3.34), was described. A novel QTL was found in the D1Rat54-D1Rat168 region for stress-induced blood pressure (P = 0.0014; LOD score 3.08). 5. The results provide support for the existence of age-dependent differences in the genetic control of ABP and weight traits. Chromosome 1 was characterized by four QTL: for bodyweight and relative kidney weight in 3-4-month-old F(2) (ISIAH yen WAG) rats and basal ABP and ABP under emotional (restraint) stress conditions in 6-month-old F(2) rats. The QTL for stress-induced ABP seems to be novel and specific to the ISIAH rat strain.

Distinct QTLs are linked to cardiac left ventricular mass in a sex-specific manner in a normotensive inbred rat inter-cross

Genetic mapping of the progeny of an F(2) inter-cross between WKY and WKHA rats had previously allowed us to detect male-specific linkage between locus Cm 24 and left ventricular mass index (LVMI). By further expanding that analysis, we detected additional loci that were all linked to LVMI in a sex-specific manner despite their autosomal location. In males, we detected one additional locus (Lvm 8) on Chromosome 5 (LOD=3.4), the two loci Lvm 13 (LOD=4.5) and Lvm 9 (LOD=2.8) on Chromosome 17, and locus Lvm 10 (LOD=4.2) on Chromosome 12. The locus Lvm 13 had the same boundaries as locus Cm 26 previously reported by others using a different cross. None of these loci showed linkage to LVM in females. In contrast, we identified in females the novel locus Lvm 11 on Chromosome 15 (LOD=2.8) and locus Lvm 12 (LOD=2.7) that had the same boundaries on Chromosome 3 as locus Cm 25 detected previously by others using a cross of other normotensive strains. In prepubertal males, there were no differences in the width of cardiomyocytes from WKY and WKHA rats, but cardiomyocytes from WKHA became progressively wider than that of WKY as sexual maturation progressed. Altogether, these results provide evidence that distinct genes may influence LVMI of rats in a sex-dependent manner, maybe by involving sex-specific interactions of sex steroids with particular genes involved in the determination of LVMI and/or cardiomyocyte width.

Mapping the Genetic Determinants of Hypertension, Metabolic Diseases, and Related Phenotypes in the Lyon Hypertensive Rat

The complex nature of hypertension makes identifying the pathophysiology and its genetic contributions a challenging task. One powerful approach for the genetic dissection of blood pressure regulation is studying inbred rat models of hypertension, as they provide natural allele variants but reduced heterogeneity (both genetic and etiologic). Furthermore, the detailed physiologic studies to which the rat is amenable allow for the determination of intermediate phenotypes. We have performed a total genome scan in offspring of an F2 intercross between the Lyon hypertensive (LH) and Lyon normotensive rat strains to identify linkage of anthropometric, blood pressure, renal, metabolic, and endocrine phenotypes. Quantitative trait locus (QTL) regions involved in blood pressure regulation, end-stage organ damage, body and organ weight, and lipid metabolism in the LH rat were identified on chromosomes 1, 2, 3, 5, 7, 10, 13, and 17, with 2 phenotypes associated with the metabolic syndrome identified on chromosomes 1 and 17. Regions on chromosomes 2, 13, and 17 were revealed to be important for blood pressure regulation. Regions on chromosome 17 were found to significantly contribute to both metabolic homeostasis and blood pressure regulation; 2 aggregates of a total of 23 QTLs were identified, including several "intermediate phenotypes." These intermediate phenotypes may be used as closer surrogates to the mechanisms leading to hypertension and metabolic dysfunction in the LH rat.

Identification of candidate disease genes by EST alignments, synteny, and expression and verification of Ensembl genes on rat chromosome 1q43-54

We aligned Incyte ESTs and publicly available sequences to the rat genome and analyzed rat chromosome 1q43-54, a region in which several quantitative trait loci (QTLs) have been identified, including renal disease, diabetes, hypertension, body weight, and encephalomyelitis. Within this region, which contains 255 Ensembl gene predictions, the aligned sequences clustered into 568 Incyte genes and gene fragments. Of the Incyte genes, 261 (46%) overlapped 184 (72%) of the Ensembl gene predictions, whereas 307 were unique to Incyte. The rat-to-human syntenic map displays rearrangement of this region on rat chr. 1 onto human chromosomes 9 and 10. The mapping of corresponding human disease phenotypes to either one of these chromosomes has allowed us to focus in on genes associated with disease phenotypes. As an example, we have used the syntenic information for the rat Rf-1 disease region and the orthologous human ESRD disease region to reduce the size of the original rat QTL to only 11.5 Mb. Using the syntenic information in combination with expression data from ESTs and microarrays, we have selected a set of 66 candidate disease genes for Rf-1. The combination of the results from these different analyses represents a powerful approach for narrowing the number of genes that could play a role in the development of complex diseases.

Studies of natural allele effects in mice can be used to identify genes causing common human obesity

Although genes causing rare Mendelian forms of human obesity have provided much useful information about underlying causes of obesity, these genes do not explain significant proportions of common obesity. This review presents evidence that animal models can be used to uncover subtle genetic effects on obesity and can provide a powerful rigorous compliment to human association studies. We discuss the advantages of animal models of obesity, various approaches to discovering obesity genes, and the future of mapping and isolating naturally occurring alleles of obesity genes. We review evidence that it is important to map naturally occurring obesity genes using quantitative trait locus (QTL) mapping, instead of mutagenesis and knockout models because the latter do not allow study of interactions and because naturally occurring obesity alleles can interfere with cloning from mutagenesis projects. Because a substantial percentage of human obesity results from complex interactions, the underlying genes can only be identified by direct studies in humans, which are still very difficult, or by studies in mice that begin with QTL mapping. Finally, we emphasize that animal model studies can be used to prove that a specific gene, only associated with obesity in humans, can indeed be the underlying cause of obesity in mammals.

Quantitative trait loci for body weight, blood pressure, blood glucose, and serum lipids: linkage analysis with wild rats (Rattus norvegicus)

To study polygenetically inherited human diseases like hypertension, inbred rat strains are usually the preferred models. Because many inbred generations under optimized environmental conditions may have led to the survival of "silent" disease genes, we used a cross between one wild rat and genetically hypertensive SHR rats to analyze quantitative trait loci (QTLs) of blood pressure and related traits. The (Wild x SHR)F1 hybrids were transferred into a pathogen-free environment by wet-hysterectomy and were backcrossed onto SHR to generate first backcross hybrids (BC1). Progeny from one F1 female (n = 72) were phenotypically and genetically characterized to map QTLs. Significant, subsignificant, and suggestive evidence was found for more sex-specific than common linkage of blood pressure and most blood-pressure-related traits. Male- and female-specific regions were determined on different chromosomes for blood pressures (Chrs. 2 and 7 vs 5 and 11), body weight (Chrs. 10 vs 18), and blood glucose (Chr. 17 vs 20). A linkage in both males and females was shown for serum triglycerides on chromosomes 6 and 17, respectively, and blood glucose on chromosome 15. For serum total cholesterol, a significant linkage was found on chromosome 14 only in males. Our findings not only indicate the complex character of quantitative traits per se but also show impressively their dependence on sex, age, and strains in cosegregation analysis.

Sex-Specific and Sex-Independent Quantitative Trait Loci for Facets of the Metabolic Syndrome in WOKW Rats

WOKW rats develop a complete metabolic syndrome closely resembling human disease. Since genetic studies using male (WOKW x DA)F2 progeny showed that several independent genetic factors were involved, a polygenic basis for the syndrome in WOKW was assumed. However, because the metabolic syndrome in human clearly demonstrates sex differences, we have extended our study to include both male and female (WOKW x DA)F2 progeny in a genome-wide scan. Male- or female-specific quantitative trait loci (QTLs) were mapped for body weight, body mass index, adiposity index and serum insulin on chromosomes 1 and 5, serum triglycerides on chromosomes 4, 7, 11, and 16, serum total and high density lipoprotein cholesterol on chromosomes 3, 4, 5, 10, and 17, and serum leptin on chromosomes 8 and 16 as well as blood glucose and glucose tolerance (AUC) on chromosomes 3, 4 and 17. QTLs for both, males and females were only found for body weight on chromosome 1 and for serum total cholesterol on chromosome 3 and 10. These findings clearly demonstrate that there are sex-specific and sex-independent QTLs for facets of the metabolic syndrome in WOKW rats.

Genetic dissection of the syndrome X in the rat

In 1988, Reaven used the term syndrome X to describe a relation between several disorders including hypertension, dyslipidemia, impaired glucose tolerance, obesity, and coronary heart disease. Despite a number of studies dealing with syndrome X, its genetic basis remains poorly understood. Regarding the complexity of this syndrome, it is important to use animal models developing the traits of the disease. Here we show a genetic dissection of syndrome X in the WOKW rat, an animal model of genetically determined syndrome X. We found a major quantitative trait locus (QTL) for glucose metabolism on chromosome 3 and further QTLs influencing obesity and body weight on chromosomes 1 and 5. Genetic determinants of dyslipidemia were mapped to chromosomes 4 and 17. In addition, suggestive linkage for serum insulin was found on chromosome 1 to the region previously shown to be associated with type-1 diabetes mellitus. This is the first study demonstrating independent genetic factors influencing traits of the syndrome X in the rat as well as a possible genetic relationships between syndrome X and diabetes mellitus. Moreover, regarding the close similarities between WOKW rat and human syndrome X, the study could help in a search of genetic factors involved in this complex metabolic disorder in human.

Age and sex based genetic locus heterogeneity in type 1 diabetes

BACKGROUND

Two genome scans for susceptibility loci for type 1 diabetes using large collections of families have recently been reported. Apart from strong linkage in both studies of the HLA region on chromosome 6p, clear consistent evidence for linkage was not observed at any other loci. One possible explanation for this is a high degree of locus heterogeneity in type 1 diabetes, and we hypothesised that the sex of affected offspring, age of diagnosis, and parental origin of shared alleles may be the bases of heterogeneity at some loci.

METHODS

Using data from a genome wide linkage study of 356 affected sib pairs with type 1 diabetes, we performed linkage analyses using parental origin of shared alleles in subgroups based on (1) sex of affected sibs and (2) age of diagnosis.

RESULTS

Among the results obtained, we observed that evidence for linkage to IDDM4 on chromosome 11q13 occurred predominantly from opposite sex, rather than same sex sib pairs. At a locus on chromosome 4q, evidence for linkage was observed in sibs where one was diagnosed above the age of 10 years and the other diagnosed below 10 years of age.

CONCLUSIONS

We show that heterogeneity tests based on age of diagnosis, sex of affected subject, and parental origin of shared alleles may be helpful in reducing locus heterogeneity in type 1 diabetes. If repeated in other samples, these findings may assist in the mapping of susceptibility loci for type 1 diabetes. Similar analyses can be recommended in other complex diseases.

Congenic diabetes-prone BB.Sa and BB.Xs rats differ from their progenitor strain BB/OK in frequency and severity of insulin-dependent diabetes mellitus

Two newly established congenic diabetes-prone BB rat strains designated BB.Sa and BB.Xs carrying a region of chromosome 1 (Sa-Lsn-Secr-Igf2-Tnt, 16 cM) and a region of chromosome X (DXMgh3-Mycs/Pfkb1-Ar, 36 cM) of the SHR rats, respectively, were studied to determine whether the transferred chromosomal regions influence diabetes frequency, age at onset, and clinical picture. Therefore, 4 complete litters of BB/OK (n = 43), BB.Sa (n = 45), and BB.Xs (n = 41) were observed for diabetes occurrence up to the age of 30 weeks. From these litters 6 diabetic males of each strain manifesting in an interval of 1 week were chosen to study body weight, blood glucose, insulin requirement to survive, and several diabetes-related serum constituents at onset of diabetes and after a diabetes duration of 150 days. The diabetes frequency was significantly lower in BB.Xs than in rats of the parental strain BB/OK, whereas comparable frequencies were found between BB/OK and BB.Sa rats. Obvious differences were observed 150 days after diabetes onset between BB/OK and both BB.Sa and BB.Xs rats. BB/OK rats were significantly heavier and needed significantly more insulin/100 g body weight than BB.Sa and BB.Xs rats. Comparisons of the serum constituents as lipids, proteins, and minerals revealed significant differences between diabetic BB/OK rats and their diabetic congenic derivatives in several traits studied at onset and after 150 days of insulin treatment. These results not only show the power of congenic lines in diabetes research, but indicate for the first time that there are genetic factors on chromosomes 1 and X influencing frequency and severity of diabetes in the BB/OK rat.

Sex of affected sibpairs and genetic linkage to type 1 diabetes

A mouse model of diabetes shows gender dimorphism in the cumulative incidence of diabetes. Based on this, evidence for genetic linkage to IDDM13 on chromosome arm 2q was reported to be greater in type 1 diabetes families where there was a predominance of affected female offspring compared with families with a predominance of affected male offspring. Our objective was to investigate whether the sex of affected offspring affects evidence for linkage to susceptibility loci. Data from a genome scan of 356 affected sibpair families with type 1 diabetes were analysed to determine if there is differential evidence for linkage in families with affected children of a particular sex. At markers on chromosomes 3, 5, 7, 9, 11, and 19, we found a number of regions where the evidence for linkage is greater in families with affected sibpairs of a particular sex. Thus, evidence for linkage in families with affected sibpairs of the same gender suggests the presence of additional susceptibility loci. Several biological explanations are possible for these findings, including X and Y linkage, effects of sex hormones on gene expression, and quasi-linkage between sex chromosomes and autosomes.