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A quantitative genetic analysis of tissue-specific catalase activity in Mus musculus.

Tissue-specific catalase activity in 3-week-old animals from inbred mouse strains 129/ReJ, BALB/c, C3H/HeAnl/Cas-1b, C3H/HeSnJ, C3H/S, C57BL/6J, and Swiss-Webster was found to be highly variable by analysis of variance (P = 0.01). Appropriate crosses were made among strains which were classified as normal (BALB/c, C3H/HeSnJ, C3H/S), hypocatalasemic (129/ReJ, C57BL/6J), and acatalasemic (C3H/HeAnl/Cas-1b) with respect to blood catalase activity to study the inheritance of the blood, kidney, liver, and lung catalase activity levels in a number of generations (reciprocal F1's, F2, two backcrosses--BC1 and BC2--and some RI lines). Segregation analysis and statistical methods which tested different models of inheritance as well as calculations of heritability were used in an effort to assess and evaluate genetic parameters that affect catalase activity. Results indicate that the inheritance of blood catalase activity in the cross involving acatalasemic and normal (BALB/c, C3H/HeSnJ) strains is compatible with the single-locus difference between the parental strains; however, the difference between the acatalasemic and the hypocatalasemic strain (C57BL/6J) would require additional genetic interaction for a satisfactory explanation. A similar pattern of generalization also applies to the inheritance of kidney catalase activity. The segregation pattern for the liver and lung catalase activity in most crosses is significantly different from the expectations of the single locus model. These results are compatible with the concept that a number of genes must affect tissue-specific catalase activity in mice. These may include previously described (e.g., Ce-1 and Ce-2) or novel genetic regulators/modifiers which interact with a single structural gene (Cas-1) or its product to produce the catalase phenotype characteristic of specific tissues in each strain.

Acatalasia↗

Variation within the type 2 diabetes susceptibility gene calpain-10 and polycystic ovary syndrome.

Variation within the calpain-10 gene (CAPN10) has been proposed to account for linkage to type 2 diabetes on chromosome 2q in Mexican-Americans, and associations with diabetes have been reported in several other populations. Given the epidemiological, physiological, and genetic overlap between type 2 diabetes and polycystic ovary syndrome (PCOS), CAPN10 represents a strong candidate gene for a role in PCOS susceptibility. Using both family based and case-control association resources (146 parent-offspring trios; 185 additional PCOS cases; 525 control subjects, all of European ancestry), we sought association between CAPN10 variation and PCOS, focusing on four single nucleotide polymorphism (SNP) variants (SNP-44, SNP-43; SNP-19; SNP-63). On single-locus transmission disequilibrium analysis in the 146 trios, there was nominal evidence (P = 0.03) of excess transmission of the more common allele at SNP-63. This association was not, however, replicated in the case-control analysis. No other significant associations were observed at the single-locus or haplotype level in either the transmission-disequilibrium or case-control analyses. The relative risk for the high-risk diabetes susceptibility 112/121 genotype (SNPs 43-19-63) was 0.84 (95% confidence intervals, 0.40-1.71). No associations were seen with intermediate traits of relevance to diabetes and PCOS pathogenesis. We have found no evidence from these analyses that CAPN10 gene variation influences susceptibility to PCOS.

Adult↗

A single nucleotide polymorphism fine mapping study of chromosome 1q42.1 reveals the vulnerability genes for schizophrenia, GNPAT and DISC1: Association with impairment of sustained attention.

BACKGROUND: The marker D1S251 of chromosome 1q42.1 showed significant association with schizophrenia in a Taiwanese sample. We used single nucleotide polymorphism (SNP) fine mapping to search for the vulnerability genes of schizophrenia. METHODS: We selected 120 SNPs covering 1 Mb around D1S251 from the public database. These selected SNPs were initially validated if allele frequency was >10%. Forty-seven validated SNPs were genotyped in 102 families with at least 2 siblings affected with schizophrenia. RESULTS: Two SNP blocks showed significant association with schizophrenia. Block 1 (five-SNP), located between intron 2 and intron 13 of the glyceronephosphate O-acyltransferase (GNPAT) gene, showed the most significant associations using single-locus TDT (z = -2.07, p = .038, df = 1) and haplotype association analyses (z = -1.99, p = .046, df = 1). Block 2 (two-SNP), located between intron 4 and intron 5 of the disrupted-in-schizophrenia 1 (DISC1) gene, also showed the most significant results in both the single-locus (z = -3.22, p = .0013, df = 1) and haplotype association analyses (z = 3.35, p = .0008, df = 1). The association of the DISC1 gene with schizophrenia was mainly in the patient group with sustained attention deficits as assessed by the Continuous Performance Test. CONCLUSIONS: Chromosome 1q42.1 harbors GNPAT and DISC1 as candidate genes for schizophrenia, and DISC1 is associated with sustained attention deficits.

Acyltransferases↗

Animal breeding and disease.

Single-locus disorders in domesticated animals were among the first Mendelian traits to be documented after the rediscovery of Mendelism, and to be included in early linkage maps. The use of linkage maps and (increasingly) comparative genomics has been central to the identification of the causative gene for single-locus disorders of considerable practical importance. The 'score-card' in domestic animals is now more than 100 disorders for which the molecular lesion has been identified and hence for which a DNA test is available. Because of the limited lifespan of any such test, a cost-effective and hence popular means of protecting the intellectual property inherent in a DNA test is not to publish the discovery. While understandable, this practice creates a disconcerting precedent. For multifactorial disorders that are scored on an all-or-none basis or into many classes, the effectiveness of control schemes could be greatly enhanced by selection on estimated breeding values for liability. Genetic variation for resistance to pathogens and parasites is ubiquitous. Selection for resistance can therefore be successful. Because of the technical and welfare challenges inherent in the requirement to expose animals to pathogens or parasites in order to be able to select for resistance, there is a very active search for DNA markers for resistance. The first practical fruits of this research were seen in 2002, with the launch of a national scrapie control programme in the UK.

Animal Diseases↗

Detection of two hypervariable (ATTTT)n loci in the human genome.

Object of this investigation was the isolation of a single-locus probe from a multi-locus fingerprint. Individual specific multi-locus fingerprints in man were generated by using the oligonucleotide probe (ATTTT)5. An isolated (ATTTT)5-positive DNA fragment was analyzed using polymerase chain reaction (PCR) cycle-sequencing and nonradioactive direct-blotting electrophoresis. A digoxigenated oligonucleotide synthesized according to this sequence was used as a single-locus probe. Two hypervariable loci were detected on Southern blots. Formal genetic investigations for the two loci were performed in order to estimate the allele frequencies. Locus 1 shows an individual-specific banding pattern with an autosomal-codominant inheritance and can be used for forensic investigations. Locus 2 also represents a polymorphic pattern, but the inheritance is not according to the Mendelian rules. Probably we have detected a highly mutagenic locus in the human genome.

Base Sequence↗

The effect of variable environments on polymorphism at loci with several alleles II. Submultiplicative viabilities.

Circumstances assuring a unique stable equilibrium are investigated for a subdivided population with several alleles segregating at a single locus. For a broad class of selection regimes entailing heterozygote viabilities greater than the geometric mean of the corresponding homozygote viabilities, a stable fixation state precludes any other stable equilibria if either total-panmixia or temporal variation is operating. This extends known results for two alleles at a single locus and partially delimits when some of the bizarre behaviour engendered by multiple alleles may occur.

Alleles↗

Investigation of serotonin-related genes in antidepressant response.

In this study, we sought out to test the hypothesis that genetic factors may influence antidepressant response to fluoxetine. The investigation focused on seven candidate genes in the serotonergic pathway involved in the synthesis, transport, recognition, and degradation of serotonin. Our clinical sample consisted of 96 subjects with unipolar major depression treated with fluoxetine with response variables assessed after a 12-week trial. Patient data were also collected to investigate the pattern of drug response. Using a high-throughput single-nucleotide polymorphism (SNP) genotyping platform and capillary electrophoresis, we genotyped patients at 110 SNPs and four repeat polymorphisms located in seven candidate genes (HTR1A, HTR2A, HTR2C, MAOA, SLC6A4, TPH1, and TPH2). Statistical tests performed included single-locus and haplotype association tests, and linkage disequilibrium (LD) estimation. Little evidence of population stratification was observed in the sample with 20 random SNPs using a genomic control procedure. Our most intriguing result involved three SNPs in the TPH1 gene and one SNP in the SLC6A4 gene, which show significant single-locus association when response to fluoxetine is compared to nonresponse (P=0.02-0.04). All odds ratios indicated an increased risk of not responding to fluoxetine. In the specific response vs nonspecific and nonresponse comparison, three SNPs in the TPH2 gene (P=0.02-0.04) were positively associated and one SNP in the HTR2A gene (P=0.02) was negatively associated. When comparing specific response to nonspecific response, we found significant negative associations in three SNPs in the HTR2A gene (P=0.001-0.03) and two SNPs in the MAOA gene (P=0.03-0.05). We observed variable, although strong LD, in each gene and unexpectedly low numbers of estimated haplotypes, formed from tagged SNPs. Significant haplotype associations were found in all but the HTR1A and HTR2C genes. Although these data should be interpreted cautiously due to the small sample size, these results implicate TPH1 and SLC6A4 in general response, and HTR2A, TPH2, and MAOA in the specificity of response to fluoxetine. Intriguingly, we observe that a number of the less frequent alleles of many of the SNP markers were associated with the nonresponse and nonspecific phenotypes.

Antidepressive Agents, Second-Generation↗

Amplification of three hypervariable DNA regions by polymerase chain reaction for paternity determinations: comparison with conventional methods and DNA fingerprinting.

The present study evaluates the usefulness of a PCR-based method for routine paternity testing in 35 paternity cases. This identification method which is based on amplification of three hypervariable genetic loci, apoB, D1S80 and HLA-DQ alpha, is compared, with regard to reliability and technical feasibility, to the conventional identification methods based on protein polymorphisms and to Southern blot hybridizations with multi- and single locus probes. Data obtained by PCR-amplification of these three loci resulted in paternity indices (56.1, geometric mean value) which are at the same level as the corresponding values derived from standard genetic blood group markers (42.7). The geometric mean value of the paternity indices obtained by Southern blot hybridization using three single locus probes (190.6) was more informative, and the most informative analysis proved to be Southern blot hybridization with multilocus probes. The technical feasibility and the reproducibility of the PCR-based analysis is, however, overwhelming, and if several highly polymorphic loci are amplified, the resolving power of PCR-analysis is similar to that obtained using multilocus probes.

Blood Grouping and Crossmatching↗

Multilocus linkage analysis of affected sib pairs.

OBJECTIVE: The conventional affected sib pair methods evaluate the linkage information at a locus by considering only marginal information. We describe a multilocus linkage method that uses both the marginal information and information derived from the possible interactions among several disease loci, thereby increasing the significance of loci with modest effects. METHODS: Our method is based on a statistic that quantifies the linkage information contained in a set of markers. By a marker selection-reduction process, we screen a set of polymorphisms and select a few that seem linked to disease. RESULTS: We test our approach on genome scan data for inflammatory bowel disease (InfBD) and on simulated data. On real data we detect 6 of the 8 known InfBD loci; on simulated data we obtain improvements in power of up to 40% compared to a conventional single-locus method. CONCLUSION: Our extensive simulations and the results on real data show that our method is in general more powerful than single-locus methods in detecting disease loci responsible for complex traits. A further advantage of our approach is that it can be extended to make use of both the linkage and the linkage disequilibrium between disease loci and nearby markers.

Genetic Linkage↗

Competition between phenotypes.

We present two models for phenotypic-dependent interspecific competition. In both cases the survivorship of individuals of one population depends on the entire phenotypic distribution of the other species. The first model considers a continuously varying metric trait, with assortative or random mating; the second model examines a character controlled by two alleles at a single locus. Pursuing the notion that each population maximizes its mean fitness we define a vector-optimum strategy using the concepts of cooperative and competitive optima. It is found that the dynamical constraints placed on the equations of motion by Mendelian genetics often prevent a population from evolving to a strategic optimum. However, for the single locus case with complete dominance, the competitive optimum always coincides with some dynamical equilibrium on the Hardy-Weinberg manifold.

Alleles↗

The effect of social selection on population dynamics of rare deleterious genes.

Genetically abnormal or phenotypically affected individuals may influence the reproductive behaviour of other members in the family, regardless of their phenotype. This social selection is modelled by considering that whenever the normal individual has at least one affected member in the nuclear family the person has a reduced chance in mating success or in fertility compared to those from the normal nuclear family. The usual individual selection has also been incorporated using a single locus with two alleles. The gene frequency change is divided into two parts: the change due to individual selection and that due to social selection. It has been shown that a low mutation rate, a small population size and strong selection at both stages lower the equilibrium frequency of deleterious genes. The possibility of extending the single locus model for common diseases is also discussed.

Animals↗

Molecular diversity and multilocus organization of the parental lines used in the International Rice Molecular Breeding Program.

One hundred and ninety three parental lines obtained from 26 countries for an international rice molecular breeding program were evaluated using 101 well-distributed simple sequence repeat (SSR) markers. An overall genetic diversity of 0.68 and an average of 6.3 alleles per locus were revealed, indicating a high level of genetic variation in these lines. Cluster analysis of the 193 accessions showed three major groups and nine subgroups. Group I corresponded to the classical indica subspecies, whereas groups II and III belong to the japonica subspecies. Indica and japonica differentiation accounted for only 6.5% of the total variation in the entire sample and 93.5% was due to within-subspecies diversity. Differentiation among eco-geographic regions accounted for 24% of the diversity within the subspecies. Larger amounts of the eco-geographical differentiation were resolved within japonica than within indica. The largest indica-japonica differentiation based on the single locus level was detected by markers on chromosomes 9 and 12, while the smallest differentiation was detected by markers on chromosomes 4 and 8. Furthermore, genetic differences at the single-locus and two-locus levels, as well as components due to allelic and gametic differentiation, were revealed between indica and japonica and among the main geographic regions. The multilocus analysis in genetic diversity showed a higher proportion of variation caused by predominant non-random associations of different loci within and among the classified subspecies and geographic subdivisions. The results suggest that selection for eco-geographical adaptation on multilocus associations was largely responsible for the maintenance of the extensive variation in the primary gene pool of rice.

Alleles↗

Prenatal paternity testing with DNA analyses.

Two PCR amplified loci and 3 single locus DNA probes were applied in a paternity case in which a married woman became pregnant after being raped. DNA analysis were performed using samples from the woman, her husband and amniotic fluid cells taken during the 16th week of pregnancy. The combined probability of paternity for her husband was calculated as 0.999997107. The application of PCR analyses and single locus DNA probes were considered to be extremely informative in prenatal paternity testing.

Amniotic Fluid↗

Agonist-induced cytosolic calcium oscillations originate from a specific locus in single hepatocytes.

Digital imaging fluorescence microscopy of fura-2-loaded hepatocytes in primary culture has been used to examine the changes of cytosolic free Ca2+ ([Ca2+]i) in response to receptor activation by alpha 1-adrenergic agonists and vasopressin at the subcellular level. Agonist-induced Ca2+ oscillations did not occur synchronously within the cell but originated from a specific region adjacent to the cell membrane and then propagated throughout the rest of the cell, with each oscillation within a series originating from the same locus. Furthermore, hormones acting through different receptors produced Ca2+ waves with similar rates of progress (20-25 microns.s-1) which originated from the same subcellular locus. For a given cell, the rate of progress and amplitude of the Ca2+ waves were independent of applied agonist concentration and were unaffected by depletion of extracellular Ca2+. The kinetics of Ca2+ increase at different points within the cell indicated that the Ca2+ waves were not driven by diffusion but were characteristic of a self-propagating mechanism. Significantly, when cells were treated with A1F-4 to directly activate the G-protein which couples receptor occupancy to [Ca2+]i mobilization, the origin and kinetics of the Ca2+ waves were identical to those observed with hormonal stimulation. It is proposed that the spatial organization of the intracellular Ca2+ release mechanisms may have significance in the regulation of the asymmetric metabolic functions of hepatocytes and other functionally polarized cells.

Animals↗

Chromosomal locations of major tRNA gene clusters of Xenopus laevis.

In Xenopus laevis eight tRNA genes are located in a 3.18 kb tandemly repeated unit. There are 150 copies of the unit at a single locus near the long arm telomere of one of the acrocentric chromosomes in the 14-17 group. Two additional classes of tRNA gene-containing repeats have been isolated (defined by clones p3.1 and p3.2) that have structures related to that of the 3.18 kb unit. Using in situ hybridization at the electron microscopic level, the p3.2 repeats are found clustered at a single locus in the subtelomeric region on one of the submetacentric chromosomes, whereas the p3.1 repeats are clustered at a locus indistinguishable from that containing the 3.18 kb repeats. This suggests that these tDNA tandem repeats can diverge in sequence from each other without being at distantly separated loci.

Animals↗

Phenocopies versus genetic heterogeneity: can we use phenocopy frequencies in linkage analysis to compensate for heterogeneity?

In this study we explore whether a phenocopy frequency (defined as a "penetrance' for nondisease genotypes) can approximate or model genetic heterogeneity in a single-locus analysis. We simulated two types of heterogeneity situations: "sporadic models', where there are two forms of a disease, one genetic and linked to a marker and the other purely random, and "genetic heterogeneity models', where the disease is caused by either of two different loci, one linked to the marker and the other unlinked. We analyzed simulated data sets for linkage, assuming a single-locus analysis with varying phenocopy frequency, in analogy with earlier work on epistatic two-locus models. We found that in the presence of purely random sporadics, there was a difference between assuming any nonzero phenocopy frequency and a zero frequency, but that the actual value of the assumed phenocopy frequency had little effect on the maximum lod score. In contrast, when both forms of disease are genetic, and are generated under similar genetic parameters, assuming a positive phenocopy frequency will not, in general, compensate for the presence of the unlinked form. However, when the modes of inheritance of the two forms differ, the assumption of a nonzero phenocopy frequency does have an effect, either to increase or decrease the maximum lod score, depending on the modes of inheritance of the two disease forms. We conclude with practical recommendations for investigators, based on these results.

Gene Frequency↗

Multilocus interactions at maternal tumor necrosis factor-alpha, tumor necrosis factor receptors, interleukin-6 and interleukin-6 receptor genes predict spontaneous preterm labor in European-American women.

OBJECTIVE: We hypothesize that genetic variations (single nucleotide polymorphisms-SNPs) in the tumor necrosis factor-alpha (TNF-alpha), TNF receptors (TNFRI and TNFRII), interleukin-6 (IL-6) and IL-6 receptor (IL-6R) genes predict high-risk status for spontaneous preterm birth (sPTB) in European-American women. In this study we examine the allelic and genotypic variations and the gene-gene interactions in the TNF-alpha, TNFRs, IL-6, and IL-6R genes in maternal DNA samples by using a case-control model. STUDY DESIGN: Maternal DNA from cases of sPTB after preterm labor (n = 101) and controls (normal term labor and delivery) (n = 321) were genotyped for SNPs in the TNF-alpha (6), TNFRI (6), TNFRII (7), IL-6 (5), and IL-6R (3) loci. SNPs were tested for both allele and genotype differences (cases vs controls) with the use of standard genetic epidemiologic methods. Multilocus interaction was assessed with multifactor dimensionality reduction analysis (MDR) to test all single and multilocus combinations for the ability to predict sPTB. RESULTS: Few significant allelic and genotypic associations were detected between cases and controls in maternal DNA. Single locus analysis documented independent association of SNPs at -7294 (allele and genotype) of TNFRI and 24660 (genotype) TNFRII loci with sPTB. MDR revealed a significant 3 locus model that includes SNPs -3448 of TNF-alpha, -7227 of IL-6, and 33314 of IL-6R. This interactive model allowed the successful prediction of pre- to low-risk genotypes is 3.50 (95% CI 2.52-4.87, P < .001). CONCLUSION: This is the first report to document a multilocus interaction in sPTB that predicts 65.2% of the cases in a European-American sample. Although putatively significant associations with sPTB were seen at a few single locus sites in TNFRI and TNFRII, they were not as predictive as the 3-locus model produced by MDR, suggesting the use of multilocus analyses in gene association studies of complex disease such as sPTB.

Adult↗

Computing probabilities of homozygosity by descent.

A person is autozygous at a locus if the person inherits the same allele twice identical by descent along two distinct paths from the same ancestor. Autozygosity is a common cause of recessive diseases in inbred populations. Homozygosity mapping uses this fact to locate the genes that cause recessive diseases. The probability of autozygosity can be used to estimate the probability of a true positive and of a false positive in homozygosity mapping. Thompson [1994] and Guo [1997] therefore studied the problem of computing the prior, unconditional (multilocus) probability of autozygosity (MPA). I consider a different quantity: the interval probability of autozygosity (IPA). The two measures are identical in the single-locus case. IPA has two notable advantages over MPA: 1. IPA does not include the possibility of heterozygous regions between the homozygous markers. 2. IPA can be computed in time that is polynomial in the pedigree size. My polynomial-time algorithm for the single-locus case solves a problem mentioned by Guo. I implemented a program to compute the IPA. The contribution of this work is the application of basic, abstract methods from computer science to address a problem in genetics.

Algorithms↗