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At least 721 records · Page 40Linked to original sources
PubMed2003

Mapping quantitative physiological traits in apple (Malus x domestica Borkh.).

Efficient breeding and selection of high-quality apple cultivars requires knowledge and understanding of the underlying genetics. The availability of genetic linkage maps constructed with molecular markers enables the detection and analysis of major genes and quantitative trait loci contributing to the quality traits of a genotype. A segregating population of the cross between the apple varieties 'Fiesta' (syn. 'Red Pippin') and 'Discovery' has been observed over three years at three different sites in Switzerland and data on growth habit, blooming behaviour, juvenile period and fruit quality has been recorded. QTL analyses were performed, based on a genetic linkage map consisting of 804 molecular markers and covering all 17 apple chromosomes. With the maximum likelihood based interval mapping method, the investigated complex traits could be dissected into a number of QTLs affecting the observed characters. Genomic regions participating in the genetic control of stem diameter, plant height increment, leaf size, blooming time, blooming intensity, juvenile phase length, time of fruit maturity, number of fruit, fruit size and weight, fruit flesh firmness, sugar content and fruit acidity were identified and compared with previously mapped QTLs in apple. Although 'Discovery' fruit displayed a higher acid content, both acidity QTLs were attributed to the sweeter parent 'Fiesta'. This indicated homozygosity at the acidity loci in 'Discovery' preventing their detection in the progeny due to the lack of segregation.

Chromosome Mapping↗
PubMed2006

Genetic determinants of the metabolic syndrome.

The metabolic syndrome is a commonly encountered clinical phenotype presenting as concurrent metabolic abnormalities, including central obesity, dysglycemia, dyslipidemia, and hypertension. Several definitions exist, and it is debated whether or not the clustered risk factors impart a higher cardiovascular risk than the simple sum of the individual components. Nevertheless, the concept of a metabolic syndrome has proven helpful in emphasizing the importance of obesity, insulin resistance and related traits in relation to cardiovascular disease risk. Furthermore, the metabolic syndrome as defined by the National Cholesterol Education Program appears to have a component of heritability, which suggests a genetic basis. Indeed, patients with certain rare single-gene disorders express clusters of abnormalities commonly seen in the metabolic syndrome. Moreover, studies indicate that common genetic variants are associated with the development of this syndrome, although the associations are quite weak and replication of findings has been poor. As with most complex traits, it is premature to propose molecular genetic testing for diagnosis, treatment or both. Unresolved issues include the roles of gene-environment interactions, ethnicity, and sex. In this review, we look at the currently available evidence for common genes that predispose to the development of the metabolic syndrome.

Environment↗
PubMed1996

Recombinant inbred and congenic strains for mapping of genes that are responsible for spontaneous hypertension and other risk factors of cardiovascular disease.

The spontaneously hypertensive rat (SHR) is the most widely used animal model of human essential hypertension. In the SHR strain, as in humans, the high blood pressure is determined multifactorially. Analysis of genetically segregating populations, derived from SHR and normotensive inbred strains, enabled localization of quantitative trait loci (QTLs) responsible for blood pressure regulation on several rat chromosomes. Analysis of specialized strains, congenic and recombinant inbred (RI) strains, helped to analyze some of these mapping results in detail: (1) analysis of congenic strains provided definitive evidence for the presence of blood pressure regulatory genes on chromosomes 8 and 13 and will enable mapping of responsible genes to limited segments of differential chromosomes, (2) the RI strains were shown to be especially useful for genome scanning studies of complex traits and for correlation analysis of blood pressure and other risk factors of cardiovascular disease such as cardiac hypertrophy, dyslipidemia, and insulin resistance.

Animals↗
PubMed2003

The genetics of human systemic lupus erythematosus.

Genetic dissection of human systemic lupus erythematosus (SLE) has been under intense studies during the past decade. Although the complexity inherent to polygenic, multifactorial diseases is challenging, several new insights have been obtained in the past several years using linkage and association studies of families containing SLE patients as well as case-control studies of populations. In addition, recent advances in our understanding of the human genome and emerging technology have been providing new tools in analyses of complex traits, such as SLE. An overview of our current understanding of the genetic basis of SLE and a brief review of findings of linkage and association studies are described here.

Animals↗
PubMed1999

Heterogeneity for multiple disease loci in linkage analysis.

Many mendelian traits show heterogeneity; that is, the disease phenotype in different families may be caused by genes at different locations. In linkage analysis, this admixture type of heterogeneity (locus heterogeneity) has often been accommodated with one of the HOMOG programs, which thus far have been restricted to at most two disease gene locations. Here, an extension to an arbitrary number of disease locations is described. It has been implemented in a computer program, HOMOGM. This approach is also suitable as an approximation to the situation of complex traits, in which multiple disease genes may occur in the same family.

Algorithms↗
PubMed2003

Genetic diversity and background linkage disequilibrium in the North American Holstein cattle population.

The objectives of this study were to 1) identify highly heterozygous Holstein bulls that are as unrelated as possible and widely used in the US dairy industry; 2) quantify the level of genetic diversity in US Holsteins; and 3) determine the extent of background linkage disequilibrium (BLD) and disease trait associated linkage disequilibrium (DLD) in the US Holstein population. Twenty-three Holstein bulls that are not closely related but were widely used in the US dairy industry were genotyped for 54 microsatellite loci. The genotyping was performed on automated DNA sequencers (PE Applied Biosystems, CA), following polymerase chain reaction amplification with fluorescent dye-labeled primers. The heterozygosity for the sampled population ranged from 0.43 to 0.80. This wide range of heterozygosity allows selection of the most heterozygous bulls to develop informative families for gene mapping studies. The degree of genetic diversity in this population is significant and allows selection for traits of economic importance. As expected, there is extensive linkage disequilibrium (LD) in the US Holstein population. About half of the syntenic marker pairs presented a typical pattern of LD produced by DLD. Most of the nonsyntenic marker pairs had a typical pattern of LD arising from BLD. These results suggest that the observed LD is not purely due to genetic drift and migration and that a portion might be due to DLD. This raises our hopes of successful fine-localization of genes for complex traits using LD mapping.

Animals↗
PubMed1999

Genetic linkage of IgA deficiency to the major histocompatibility complex: evidence for allele segregation distortion, parent-of-origin penetrance differences, and the role of anti-IgA antibodies in disease predisposition.

Immunoglobulin A (IgA) deficiency (IgAD) is characterized by a defect of terminal lymphocyte differentiation, leading to a lack of IgA in serum and mucosal secretions. Familial clustering, variable population prevalence in different ethnic groups, and a predominant inheritance pattern suggest a strong genetic predisposition to IgAD. The genetic susceptibility to IgAD is shared with a less prevalent, but more profound, defect called "common variable immunodeficiency" (CVID). Here we show an increased allele sharing at 6p21 in affected members of 83 multiplex IgAD/CVID pedigrees and demonstrate, using transmission/diseqilibrium tests, family-based associations indicating the presence of a predisposing locus, designated "IGAD1," in the proximal part of the major histocompatibility complex (MHC). The recurrence risk of IgAD was found to depend on the sex of parents transmitting the defect: affected mothers were more likely to produce offspring with IgAD than were affected fathers. Carrier mothers but not carrier fathers transmitted IGAD1 alleles more frequently to the affected offspring than would be expected under random segregation. The differential parent-of-origin penetrance is proposed to reflect a maternal effect mediated by the production of anti-IgA antibodies tentatively linked to IGAD1. This is supported by higher frequency of anti-IgA-positive females transmitting the disorder to children, in comparison with female IgAD nontransmitters, and by linkage data in the former group. Such pathogenic mechanisms may be shared by other MHC-linked complex traits associated with the production of specific autoantibodies, parental effects, and a particular MHC haplotype.

Alleles↗
PubMed1995

The HLA system and the analysis of multifactorial genetic disease.

The human leukocyte antigen (HLA) system comprises closely linked genes controlling highly polymorphic proteins involved in the presentation of peptides to the T-cell receptor. Specific alleles at HLA loci are associated with diseases, often those suspected to be of autoimmune aetiology. Many of these associations result from linkage disequilibrium between the HLA gene studied and other HLA genes or non-HLA genes close by. Owing to its high level of polymorphism and its candidate role in many diseases, HLA was the first system used in many techniques of genetic mapping, such as affected-sib-pair analysis and association (linkage disequilibrium) studies. Much remains unknown about the reasons why diseases are associated with HLA. Experience gained from HLA has, however, shown how other loci involved in complex traits can be identified by studying families with multiple affected cases or sib pairs, followed by linkage-disequilibrium mapping and then analysis of candidate genes.

Autoimmune Diseases↗
PubMed2001

Pathogenomic mechanisms for particulate matter induction of acute lung injury and inflammation in mice.

To begin identifying genes controlling individual susceptibility to particulate matter, responses of inbred mouse strains exposed to nickel sulfate (NiSO4*) were compared with those of mice exposed to ozone (O3) or polytetrafluoroethylene (PTFE). The A strain was sensitive to NiSO4-induced lung injury (quantified by survival time), the C3H/He (C3) strain and several other strains were intermediate in their responses, and the C57BL/6 (B6) strain was resistant. The strains showed a pattern of response similar to the patterns of response to O3 and PTFE. The phenotype of A x B6 offspring (B6AF1) resembled that of the resistant B6 parental strain, with strains exhibiting sensitivity in the order A > C3 > B6 = B6AF1. Pathology was comparable for the A and B6 mice, and exposure to NiSO4 at 15 microg/m3 produced 20% mortality in A mice. Strain sensitivity for the presence of protein or neutrophils in lavage fluid differed from strain sensitivity for survival time, suggesting that they are not causally linked but are controlled by an independent gene or genes. In the B6 strain, exposure to nickel oxide (NiO) by instillation (40 to 1000 nm) or inhalation (50 nm) produced no changes, whereas inhalation of NiSO4 (60 or 250 nm) increased lavage proteins and neutrophils. Complementary DNA (cDNA) microarray analysis with 8,734 sequence-verified clones revealed a temporal pattern of increased oxidative stress, extracellular matrix repair, cell proliferation, and hypoxia, followed by a decrease in surfactant-associated proteins (SPs). Certain expressed sequence tags (ESTs), clustered with known genes, suggest possible coregulation and novel roles in pulmonary injury. Finally, locus number estimation (Wright equation) and a genomewide analysis suggested 5 genes could explain the survival time and identified significant linkage for a quantitative trait locus (QTL) on chromosome 6, Aliq4 (acute lung injury QTL4). Haplotype analysis identified an allelic combination of 5 QTLs that could explain the difference in sensitivity to acute lung injury between parental strains. Positional candidate genes for Aliq4 include aquaporin-1 (Aqp1), SP-B, and transforming growth factor-alpha (TGF-alpha). Transgenic mice expressing TGF-alpha were rescued from NiSO4 injury (that is, they had diminished SP-B loss and increased survival time). These findings suggest that NiSO4-induced acute lung injury is a complex trait controlled by at least 5 genes (all possibly involved in cell proliferation and surfactant function). Future assessment of these susceptibility genes (including evaluations of human synteny and function) could provide valuable insights into individual susceptibility to the adverse effects of particulate matter.

Air Pollutants↗
PubMed2001

Genetic control of neuroadapted sindbis virus replication in female mice maps to chromosome 2 and associates with paralysis and mortality.

Neuroadapted Sindbis virus (NSV) infection of mice causes hindlimb paralysis and 100% mortality in the C57BL/6 mouse strain, while adults of the BALB/cBy mouse strain are resistant to fatal encephalomyelitis. Levels of viral RNA are higher in the brains of infected C57BL/6 mice than in BALB/cBy mice (D. C. Thach et al., J. Virol. 74:6156-6161, 2000). These phenotypic differences between the two strains allowed us to map genetic loci involved in mouse susceptibility to NSV and to find relationships between mortality, paralysis, and viral RNA levels. Analysis of percent mortality in H2-congenic and F(1) mice suggested that the H2 locus, sex linkage, and imprinting were not involved in determining susceptibility and that resistance was partially dominant over susceptibility. Segregation analysis using CXB recombinant inbred (RI) mice indicated that the percent mortality was multigenic. Interval mapping detected a suggestive quantitative trait locus (QTL) on chromosome 2 near marker D2Mit447. Analysis of paralysis in the RI mice detected the same suggestive QTL. Viral RNA level in F(1) mice was intermediate. Interval mapping using viral RNA levels in RI mice detected a significant QTL near marker D2Mit447 that explained 69% of the genetic variance. This QTL was confirmed in F2 mice and was designated as Nsv1. Viral RNA level, percent paralyzed, and percent mortality were linearly correlated (r = 0.8 to 0.9). These results indicate that mortality, paralysis, and viral RNA levels are related complex traits and that Nsv1 controls early viral load and determines the likelihood of paralysis and death.

Adaptation, Physiological↗
PubMed2005

Kinesin family member 12 is a candidate polycystic kidney disease modifier in the cpk mouse.

The cpk mouse is the most extensively characterized model of autosomal recessive polycystic kidney disease (ARPKD). The major ARPKD-related renal and biliary phenotypes are modulated in F2 mutants by genetic background, suggesting that quantitative trait loci (QTL) modulate disease severity. In 461 F2 cpk mice, kidney length, weight, and volume were scored as quantitative traits (QT), and a semiquantitative method to assess biliary duct number, area (BDA), portal vein area, and total area of each portal field, as well as the severity of cholangitis, was developed. QTL mapping was performed with Pseudomarker v1.02. Candidate genes were identified within the QTL intervals on the basis of expression profiling, reverse transcriptase-PCR, haplotypes, and sequence analysis. The renal QT were normally distributed in the F2 cohort and strongly correlated (P < 0.001). Among the biliary QT, only BDA correlated with the renal QT (P < 0.01). Genome-wide scan identified a major effect QTL on chromosome (Chr) 4 for the renal traits, adjusted BDA, and cholangitis with logarithm of odds scores of 18, 8, and 5, respectively. Regression modeling refined the Chr 4 main effect into an approximately 50-cM region with three distinct QTL peaks at 16, 34, and 54 cM. Kif12, a gene encoding a novel kinesin, mapped beneath the 34 cM QTL peak and has expression level variants and strain-specific sequences that were associated with renal disease severity in affected mice. Therefore, the positional candidate gene, Kif12, fulfills the major criteria for QTL gene discovery established by the Complex Trait Consortium, and, thus, it is proposed that Kif12 is a cpk modifier gene.

Animals↗
PubMed1999

Exploring the impact of extended phenotype in stratified samples.

We have performed initial nonparametric sib-pair genome scans in the early (N = 52) and late (N = 53) onset subgroups of the COGA pedigrees, stratified near the median value of pedigree mean age of onset for ALDX1 diagnosis of alcoholism. Because the early group contained a higher proportion of smokers, traits of alcoholism, smoking, and addiction (defined as either alcoholism or smoking) were examined. Subgroups and phenotypic definitions influenced initial linkage results, corrected for the number of analyzed traits. Evidence for linkage to the ALDX1 alcoholism phenotype at the ADH3 functional candidate gene was increased in the late onset subgroup (Bonferroni corrected significance level < 0.002), as compared with the unstratified sample that replicated COGA linkage obtained in the same analysis; there was no evidence for linkage at this locus in the early onset subgroup. The theoretical implication of this result is that the loss of power due to contracting sample size through stratification may in some cases be more than offset by extraction of a more homogeneous subgroup from the etiologically complex trait.

Adolescent↗
PubMed2003

Genetics of personality: are we making progress?

For centuries, scientists are intrigued by the differences in personality between individuals. As early as in the ancient Greek civilization, people tried to formulate theories to systematize this diversity. With the increased interest in behavior genetics, personality was also considered a challenging phenotype. From the early start, studies suggested a heritable component in personality. After the successes of molecular genetic studies in unraveling the genetic basis of (mostly) monogenic diseases, the focus shifted towards complex traits, including psychiatric disorders. It was observed in several studies that personality measures differed between patients with psychiatric disorders and healthy controls. Therefore, normal personality was considered a viable endophenotype in the search for genes involved in psychiatric disorders such as affective disorders, ADHD and substance dependence. Genes that were to be found in studies on personality could be candidate genes for particular psychiatric disorders. In the course of time, however the study of genes for personality turned out to be at least as hard as the search for genes involved in other complex disorders. In this review, past studies, present problems and future directions concerning the study of personality genetics are discussed.

Biological Psychiatry↗
PubMed2006

Resting metabolic rate and respiratory quotient: results from a genome-wide scan in the Quebec Family Study.

BACKGROUND: Genes influencing resting metabolic rate (RMR) and respiratory quotient (RQ) represent candidate genes for obesity, type 2 diabetes, and the metabolic syndrome because of the involvement of these traits in energy balance and substrate oxidation. OBJECTIVE: We conducted a genome-wide scan for quantitative trait loci (QTL) contributing to the variability in RMR and RQ. DESIGN: Regression-based and variance components-based genome-wide autosomal scans on RMR and RQ phenotypes, obtained from indirect calorimetry, were performed in 169 families ascertained via an obese proband or from the general population. RESULTS: We found evidence for linkage to RMR on chromosomes 3q26.1 (lod = 2.74), 1q21.2 (2.44), and 22q12.3 (1.33). QTL influencing RQ were found on chromosomes 12q13 (1.65) and 14q22 (1.83) when the analyses were performed in all families. Considerable locus heterogeneity within this population was suggested because most of the families were unlinked to any one quantitative trait locus. Significant associations between traits and linked microsatellites were detected within the linked, informative subsets. CONCLUSIONS: We found several new QTL for energy metabolism, but the QTL on 1q may be a replication of the one reported in Pima Indians. All 3 RMR linkages overlapped regions previously linked to the metabolic syndrome or its components, and the significant association between RMR and the metabolic syndrome in the present cohort reinforces this relation. We conclude that considerable locus heterogeneity exists even within populations, which should be taken into account when considering candidate gene studies of energy metabolism phenotypes and other complex traits.

Basal Metabolism↗
PubMed2005

Association analysis of mild mental impairment using DNA pooling to screen 432 brain-expressed single-nucleotide polymorphisms.

We hypothesize that mild mental impairment (MMI) represents the low extreme of the same quantitative trait loci (QTLs) that operate throughout the distribution of intelligence. To detect QTLs of small effect size, we employed a direct association strategy by genotyping 432 presumably functional nonsynonymous single-nucleotide polymorphisms (nsSNPs) identified from public databases on DNA pools of 288 cases and 1025 controls. In total, 288 MMI cases were identified by in-home administration of McCarthy Scales of Children's Abilities to 836 twin pairs selected from a community sample of more than 14 000 children previously screened for nonverbal cognitive delay using parentally administered tests. Controls were selected from the community sample representing the full range of nonverbal intelligence. SNPs showing at least 7% allele frequency differences between case and control DNA pools were tested for their association with the full range of nonverbal intelligence using five DNA subpools, each representing quintiles of the normal quantitative trait scores from the 1025 controls. SNPs showing linear associations in the expected direction across quintiles using pooled DNA were individually genotyped for the 288 cases and 1025 controls and analyzed using standard statistical methods. One SNP (rs1136141) in HSPA8 met these criteria, yielding a significant (P=0.036) allelic frequency difference between cases and controls for individual genotyping and a significant (P=0.013) correlation within the control group that accounts for 0.5% of the variance. The present SNP strategy combined with DNA pooling and large samples represents a step towards identifying QTLs of small effect size associated with complex traits in the postgenomic era when all functional polymorphisms will be known.

Brain↗
PubMed2001

Rapid evolution of novel traits in microorganisms.

The use of natural microorganisms in biotransformations is frequently constrained by their limited tolerance to the high concentrations of metabolites and solvents required for effective industrial production. In many cases, more robust strains have to be generated by random mutagenesis and selection. This process of directed evolution can be accelerated in mutator strains, which carry defects in one or more of their DNA repair genes. However, in order to use mutator strains, it is essential to restore the normal low mutation rate of the selected organisms immediately after selection to prevent the accumulation of undesirable spontaneous mutations. To enable this process, we constructed temperature-sensitive plasmids that temporarily increase the mutation frequency of their hosts by 20- to 4,000-fold. Under appropriate selection pressure, microorganisms transformed with mutator plasmids can be quickly evolved to exhibit new, complex traits. By using this approach, we were able to increase the tolerance of three bacterial strains to dimethylformamide by 10 to 20 g/liter during only two subsequent transfers. Subsequently, the evolved strains were returned to their normal low mutation rate by curing the cells of the mutator plasmids. Our results demonstrate a new and efficient method for rapid strain improvement based on in vivo mutagenesis.

Dimethylformamide↗
PubMed2006

Genetic bases of estrogen-induced tumorigenesis in the rat: mapping of loci controlling susceptibility to mammary cancer in a Brown Norway x ACI intercross.

Exposure to estrogens is associated with an increased risk of breast cancer. Our laboratory has shown that the ACI rat is uniquely susceptible to 17beta-estradiol (E2)-induced mammary cancer. We previously mapped two loci, Emca1 and Emca2 (estrogen-induced mammary cancer), that act independently to determine susceptibility to E2-induced mammary cancer in crosses between the susceptible ACI rat strain and the genetically related, but resistant, Copenhagen (COP) rat strain. In this study, we evaluate susceptibility to E2-induced mammary cancer in a cross between the ACI strain and the unrelated Brown Norway (BN) rat strain. Whereas nearly 100% of the ACI rats developed mammary cancer when treated continuously with E2, BN rats did not develop palpable mammary cancer during the 196-day course of E2 treatment. Susceptibility to E2-induced mammary cancer segregated as a dominant or incompletely dominant trait in a cross between BN females and ACI males. In a population of 251 female (BN x ACI)F(2) rats, we observed evidence for a total of five genetic determinants of susceptibility. Two loci, Emca4 and Emca5, were identified when mammary cancer status at sacrifice was evaluated as the phenotype, and three additional loci, Emca6, Emca7, and Emca8, were identified when mammary cancer number was evaluated as the phenotype. A total of three genetic interactions were identified. These data indicate that susceptibility to E2-induced mammary cancer in the BN x ACI cross behaves as a complex trait controlled by at least five loci and multiple gene-gene interactions.

Animals↗
PubMed2006

QTL MatchMaker: a multi-species quantitative trait loci (QTL) database and query system for annotation of genes and QTL.

Identifying genes that underlie quantitative trait loci (QTL) is a challenging task. Here, we present a new QTL software system, named QTL MatchMaker. The system is designed to integrate and mine QTL information across human, mouse and rat genomes and to annotate functional genomic data. It combines and organizes information from relevant public databases and publications and integrates QTL, physical, genetic and cytogenetic maps across human, mouse and rat. To make this application available to the research community we have developed a website for high-throughput mapping of expressed sequences to QTL and for selection of candidate genes in the physiological genomics context of complex traits. QTL MatchMaker is accessible at http://pmrc.med.mssm.edu:9090/QTL/jsp/qtlhome.jsp.

Animals↗