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Maximum likelihood estimation of quantitative trait loci parameters with the aid of genetic markers using a standard statistical package.

Consistent parameter estimates of quantitative trait loci linked to genetic markers can be derived by maximum likelihood methodology. For many experimental designs of interest, parameter estimates and their standard errors can be obtained by program LE of BMDP, which uses the Newton-Raphson method of iteration. Program LE was tested on data simulated for a backcross between two inbred lines. A single quantitative trait locus linked to either one or two genetic markers was simulated. Convergence was rapid, and computing and programming time were insignificant. All parameter estimates were within the expected bounds. Many different designs can be readily analyzed.

Algorithms↗

Positional candidate gene selection from livestock EST databases using Gene Ontology.

MOTIVATION: The number of expressed sequence tags (ESTs) in GenBank has now surpassed 200,000 for cattle and 100,000 for swine. The Institute of Genome Research (TIGR) has organized these sequences into approximately 60,000 non-redundant consensus sequences (identified by TIGR Gene Indices) for cattle and 40,000 for swine. Anonymous ESTs are of limited value unless they are connected to function. Functional information is difficult to manage electronically because of heterogeneity of meaning and form among databases. The Gene Ontology (GO) Consortium has produced ontologies for gene function with consistent meaning and form across species. Linking livestock EST to gene function through similarity with sequences from other annotation-rich mammals could accelerate: (1) the discovery of positional candidate genes underlying a livestock quantitative trait locus (QTL) and (2) comparative mapping between livestock and other mammals (e.g. humans, mouse and rat). We initiated this investigation to determine if incorporation of the GO into the annotation process could accelerate livestock positional candidate gene discovery. RESULTS: We have associated livestock ESTs with GO nodes through sequence similarity to the NCBI Reference Sequences (RefSeq). Positional candidate genes are identified within minutes that otherwise required days. The schema described here accommodates queries that return GO nodes from terms familiar to biologists, such as gene name, alternate/alias symbol, and OMIM phenotype. AVAILABILITY: Scripts and schema are available on request from the authors.

Animals↗

Genetic epilepsy model derived from common inbred mouse strains.

The recombinant inbred mouse strain, SWXL-4, exhibits tonic-clonic and generalized seizures similar to the commonest epilepsies in humans. In SWXL-4 animals, seizures are observed following routine handling at about 80 days of age and may be induced as early as 55 days by rhythmic gentle tossing. Seizures are accompanied by rapid, bilateral high frequency spike cortical discharges and followed by a quiescent post-ictal phase. Immunohistochemistry of the immediate early gene products c-Fos and c-Jun revealed abnormal activation within cortical and limbic structures. The seizure phenotype of SWXL-4 can be explained and replicated fully by the inheritance of susceptibility alleles from its progenitor strains, SWR/J and C57L/J. Outcrosses of SWXL-4 with most other common inbred strains result in F1 hybrids that have seizure at least as frequently as SWXL-4 itself. Quantitative trait locus mapping reveals a seizure frequency determinant, Szf1, near the pink-eyed dilution locus on chromosome 7, accounting for up to 32% of the genetic variance in an F2 intercross between SWXL-4 and the linkage testing strain ABP/Le. These studies demonstrate that common strains of mice such as SWR and C57L contain latent epilepsy susceptibility alleles. Although the inheritance of susceptibility may be complex, these results imply that a number of potentially important and practical, noninvasive models for this disorder can be constructed and studied in crosses between common mouse strains.

Animals↗

Methodology and accuracy of estimation of quantitative trait loci parameters in a half-sib design using maximum likelihood.

Maximum likelihood methods were developed for estimation of the six parameters relating to a marker-linked quantitative trait locus (QTL) segregating in a half-sib design, namely the QTL additive effect, the QTL dominance effect, the population mean, recombination between the marker and the QTL, the population frequency of the QTL alleles, and the within-family residual variance. The method was tested on simulated stochastic data with various family structures under two genetic models. A method for predicting the expected value of the likelihood was also derived and used to predict the lower bound sampling errors of the parameter estimates and the correlations between them. It was found that standard errors and confidence intervals were smallest for the population mean and variance, intermediate for QTL effects and allele frequency, and highest for recombination rate. Correlations among standard errors of the parameter estimates were generally low except for a strong negative correlation (r = -0.9) between the QTL's dominance effect and the population mean, and medium positive and negative correlations between the QTL's additive effect and, respectively, recombination rate (r = 0.5) and residual variance (r = -0.6). The implications for experimental design and method of analysis on power and accuracy of marker-QTL linkage experiments were discussed.

Alleles↗

A random model approach to interval mapping of quantitative trait loci.

Mapping quantitative trait loci in outbred populations is important because many populations of organisms are noninbred. Unfortunately, information about the genetic architecture of the trait may not be available in outbred populations. Thus, the allelic effects of genes can not be estimated with ease. In addition, under linkage equilibrium, marker genotypes provide no information about the genotype of a QTL (our terminology for a single quantitative trait locus is QTL while multiple loci are referred to as QTLs). To circumvent this problem, an interval mapping procedure based on a random model approach is described. Under a random model, instead of estimating the effects, segregating variances of QTLs are estimated by a maximum likelihood method. Estimation of the variance component of a QTL depends on the proportion of genes identical-by-descent (IBD) shared by relatives at the locus, which is predicted by the IBD of two markers flanking the QTL. The marker IBD shared by two relatives are inferred from the observed marker genotypes. The procedure offers an advantage over the regression interval mapping in terms of high power and small estimation errors and provides flexibility for large sibships, irregular pedigree relationships and incorporation of common environmental and fixed effects.

Alleles↗

Mapping quantitative trait loci for complex binary diseases using line crosses.

A composite interval gene mapping procedure for complex binary disease traits is proposed in this paper. The binary trait of interest is assumed to be controlled by an underlying liability that is normally distributed. The liability is treated as a typical quantitative character and thus described by the usual quantitative genetics model. Translation from the liability into a binary (disease) phenotype is through the physiological threshold model. Logistic regression analysis is employed to estimate the effects and locations of putative quantitative trait loci (our terminology for a single quantitative trait locus is QTL while multiple loci are referred to as QTLs). Simulation studies show that properties of this mapping procedure mimic those of the composite interval mapping for normally distributed data. Potential utilization of the QTL mapping procedure for resolving alternative genetic models (e.g., single- or two-trait-locus model) is discussed.

Chromosome Mapping↗

Molecular dissection of a major gene effect on a quantitative trait: the level of alcohol dehydrogenase expression in Drosophila melanogaster.

A molecular mapping experiment shows that a major gene effect on a quantitative trait, the level of alcohol dehydrogenase expression in Drosophila melanogaster, is due to multiple polymorphisms within the Adh gene. These polymorphisms are located in an intron, the coding sequence, and the 3' untranslated region. Because of nonrandom associations among polymorphisms at different sites, the individual effects combine (in some cases epistatically) to produce "superalleles" with large effect. These results have implications for the interpretation of major gene effects detected by quantitative trait locus mapping methods. They show that large effects due to a single locus may be due to multiple associated polymorphisms (or sequential fixations in isolated populations) rather than individual mutations of large effect.

Alcohol Dehydrogenase↗

A population genetics model of marker-assisted selection.

A deterministic two-loci model was developed to predict genetic response to marker-assisted selection (MAS) in one generation and in multiple generations. Formulas were derived to relate linkage disequilibrium in a population to the proportion of additive genetic variance used by MAS, and in turn to an extra improvement in genetic response over phenotypic selection. Predictions of the response were compared to those predicted by using an infinite-loci model and the factors affecting efficiency of MAS were examined. Theoretical analyses of the present study revealed the nonlinearity between the selection intensity and genetic response in MAS. In addition to the heritability of the trait and the proportion of the marker-associated genetic variance, the frequencies of the selectively favorable alleles at the two loci, one marker and one quantitative trait locus, were found to play an important role in determining both the short- and long-term efficiencies of MAS. The evolution of linkage disequilibrium and thus the genetic response over several generations were predicted theoretically and examined by simulation. MAS dissipated the disequilibrium more quickly than drift alone. In some cases studied, the rate of dissipation was as large as that to be expected in the circumstance where the true recombination fraction was increased by three times and selection was absent.

Computer Simulation↗

Two loci, Tmevp2 and Tmevp3, located on the telomeric region of chromosome 10, control the persistence of Theiler's virus in the central nervous system of mice.

Theiler's virus persistently infects the white matter of the spinal cord in susceptible strains of mice. This infection is associated with inflammation and primary demyelination and is studied as a model of multiple sclerosis. The H-2D gene is the major gene controlling viral persistence. However, the SJL/J strain is more susceptible than predicted by its H-2(s) haplotype. An (SJL/J x B10. S)F1 x B10.S backcross was analyzed, and one quantitative trait locus (QTL) was located in the telomeric region of chromosome 10 close to the Ifng locus. Another one was tentatively mapped to the telomeric region of chromosome 18, close to the Mbp locus. We now report the study of 14 congenic lines that carry different segments of these two chromosomes. Although the presence of a QTL on chromosome 18 was not confirmed, two loci controlling viral persistence were identified on chromosome 10 and named Tmevp2 and Tmevp3. Furthermore, the Ifng gene was excluded from the regions containing Tmevp2 and Tmevp3. Analysis of the mode of inheritance of Tmevp2 and Tmevp3 identified an effect of sex, with males being more infected than females.

Analysis of Variance↗

Association of FMR1 repeat size with ovarian dysfunction.

BACKGROUND: Women who carry the FMR1 premutation allele have a significantly increased risk for ovarian dysfunction. We hypothesize that molecular characteristics of the FMR1 gene may explain this increased risk. METHODS: Thus, we examined the effect of FMR1 CGG repeat size and related factors on measures of ovarian dysfunction using data from 507 women with a wide range of repeat sizes. RESULTS AND CONCLUSIONS: We found a significant positive association of repeat size with ovarian dysfunction, but have preliminary evidence that this relationship is non-linear. We suggest that FMR1 repeat size in the lower range (<80 repeats) contributes to the variation in age at menopause; thus, FMR1 could be considered a quantitative trait locus. More importantly, when repeat size exceeds this threshold, the increase in risk for ovarian dysfunction is clinically significant. Intriguingly, this risk appears to plateau, or perhaps decrease, among women with very high repeats (> or =100 repeats).

Adolescent↗

Annuality, perenniality and cell death.

This essay considers annuality and perenniality as quantitative traits and discusses the application of established and new genetic tools to the analysis of plant life histories. Annual/perennial status is a function of meristem determinacy in combination with the processes of cell death and disposal employed by plants to generate well-adapted anatomies and morphologies. Creeping perennials, like clover or bracken, seem to move around in the environment. They do this by extending into unoccupied space while the oldest tissues behind the growing and mature regions senesce, die and decompose. Trees do essentially the same thing, except that they develop vertically and the old dead tissue does not disappear but instead persists as wood. A root system is a kind of upended vertical perennial. The balance between exploratory growth and the wave of tissue death that succeeds it is a major determinant of perenniality. So although perenniality and annuality may appear to be dramatically different traits, extremes of behaviour can arise by a relatively minor change in the relationship between growth and death. This conclusion is supported by evidence from genome dosage studies, from the practical experiences of breeding perennial-type traits into annual backgrounds and from molecular cladistics. Applications of methods for the genetic analysis of quantitative characters are described, including the exploitation of introgression mapping in Lolium-Festuca and quantitative trait locus mapping in cereals and other species.

Apoptosis↗

Mapping and exclusion mapping of genomic imprinting effects in mouse F2 families.

Parent-of-origin effects were mapped by multimarker regression analysis in a cross between a high body weight selected line (DU6) and a control line (DUKs). The difference between F(2) progeny being heterozygous Qq and qQ (first allele is paternally derived) for grandpaternal Q and grandmaternal q alleles was genome-wide significant for the traits liver weight and spleen weight with a paternal imprinting effect at 1 cM on proximal chromosome 11. Suggestive imprinting effects (chromosome-wide error probability less than 0.05) were found for the traits body weight, liver weight, and kidney weight, and were located on chromosome 14 at 25 cM, 23 cM, and 32 cM, respectively. A genome-wide significant quantitative trait locus (QTL) for spleen weight at 26 cM slightly failed the suggestive significance level for imprinting. The effect was consistently maternal for all these traits on chromosome 14. Further suggestive imprinting effects were found for abdominal fat percentage on chromosome 3, for spleen weight on chromosome 5, and for liver weight on chromosome X. Our results are supported by a likely imprinting in a human genome region with homology to mouse chromosome 14 and agree well with the known imprinting of proximal chromosome 11 in the mouse.

Animals↗

High diversity of the chicken growth hormone gene and effects on growth and carcass traits.

The chicken growth hormone (cGH) gene plays a crucial role in controlling growth and metabolism, leading to potential correlations between cGH polymorphisms and economic traits. In this study, DNA from four divergent chicken breeds were screened for single nucleotide polymorphisms (SNPs) in the cGH gene using denaturing high-performance liquid chromatography and sequencing. A total of 46 SNPs were identified, of which 4 were in the 5' untranslated region, 1 in the 3' untranslated region, 5 in exons (two of which are nonsynonymous), with the remaining 36 in introns. The nucleotide diversity in the cGH gene ( theta = 2.7 x 10(-3)) was higher than that reported for other chicken genes, even within the same breeds. The associations of five of these SNPs and their haplotypes with chicken growth and carcass traits were determined using polymerase chain reaction-restriction fragment length polymorphism analysis in a F2 resource population cross of two of the four chicken breeds (White Recessive Rock and Xinghua). This analysis shows that, among other correlations, G+1705A was significantly associated with body weight at all ages measured, shank length at three of four ages measured, and average daily gain within weeks 0 to 4. Thus, this cGH polymorphism, or another polymorphism that is in linkage disequilibrium with G+1705A, appears to correspond to a significant growth-related quantitative trait locus difference between the two breeds used to construct the resource population.

Animals↗

Mapping of mouse obesity genes: A generic approach to a complex trait.

Identification of genes underlying any complex trait such as obesity is an important and difficult problem in genetics. Traditional candidate gene approaches cannot be relied on to identify all of the genes influencing a complex trait, and positional cloning is very laborious. With the advent of new tools and methods, however, comprehensive approaches to the identification of any genes underlying complex traits are now available. Quantitative trait locus (QTL) mapping is a general technique to map Mendelian factors influencing complex traits. The QTL approach involves the crossing of two strains that differ in the trait of interest to produce F2 or back-cross progeny, individually phenotyping and genotyping each progeny, and statistically associating the typed markers and the phenotype. QTL mapping has been used in the last 4 years to map genes for a wide variety of traits, including body weight and growth, obesity, atherosclerosis and susceptibility to cancer in the mouse, and hypertension, hyperactivity and arthritis in the rat. QTL mapping has also been used to map genes in pigs, poultry, cows, fish and plants. Once a trait has been located in a chromosomal subregion, identifying the underlying gene remains a significant problem. A monogenic model must be developed, isolating one gene influencing a trait from other genes affecting the same phenotype. Then the positional candidate strategy, which relies on a combination of mapping to a chromosomal subregion followed by a survey of the interval to see if attractive candidates reside there, becomes practical.

Animals↗

DNA fingerprinting confirms isogenicity of androgenetically derived rainbow trout lines.

Homozygous and hybrid clonal lines of rainbow trout (Oncorhynchus mykiss) were confirmed to be isogenic using multilocus DNA fingerprinting. Homozygous clones were produced by androgenesis and gynogenesis using gametes from androgenetic male and female rainbow trout, respectively. Isogenic F1 hybrid lines were produced by crossing homozygous fish from different strains. One line of hybrid clones showed segregation for maternally inherited DNA fingerprint markers. The female from this cross, the only presumptive homozygous gynogenetic individual used in this study, was thought to have been produced by gynogenesis followed by blockage of the first cleavage division, but based on the DNA fingerprint analysis, apparently was derived by spontaneous polar body retention that maintained heterozygosity at some loci. Mutations at DNA fingerprint loci were not observed, indicating relative stability of fingerprint loci in the clonal lines. DNA fingerprinting appears to be a useful tool for identifying and genetically monitoring clonal lines of rainbow trout. Isogenic lines of rainbow trout will facilitate the production of saturated genetic maps for rainbow trout and enhance such endeavors as quantitative trait locus (QTL) analysis and loss of heterozygosity (LOH) studies in tumors.

Androgens↗

Rice mutants and genes related to organ development, morphogenesis and physiological traits.

Recent advances in genomic studies and the sequenced genome information have made it possible to utilize phenotypic mutants for characterizing relevant genes at the molecular level and reveal their functions. Various mutants and strains expressing phenotypic and physiological variations provide an indispensable source for functional analysis of genes. In this review, we cover almost all of the rice mutants found to date and the variant strains that are important in developmental, physiological and agronomical studies. Mutants and genes showing defects in vegetative organs, i.e. leaf, culm and root, inflorescence reproductive organ and seeds with an embryo and endosperm are described with regards to their phenotypic and molecular characteristics. A variety of alleles detected by quantitative trait locus analysis, such as heading date, disease/insect resistance and stress tolerance, are also shown.

Anthocyanins↗

Leaf stomatal and epidermal cell development: identification of putative quantitative trait loci in relation to elevated carbon dioxide concentration in poplar.

Genetic variation in stomatal initiation and density, and epidermal cell size and number were examined in a hybrid pedigree of Populus trichocarpa T. & G. and P. deltoides Marsh in both ambient ([aCO2]) and elevated ([eCO2]) concentrations of CO2. We aimed to link anatomical traits with the underlying genetic map of F2 Family 331, composed of 350 markers across 19 linkage groups. Leaf stomatal and epidermal cell traits showed pronounced differences between the original parents. We considered the following traits in the F2 population: stomatal density (SD), stomatal index (SI), epidermal cell area (ECA) and the number of epidermal cells per leaf (ECN). In [eCO2], adaxial SD and SI were reduced in the F2 population, whereas ECA increased and ECN remained unchanged. In [aCO2], four putative quantitative trait loci (QTL) with logarithm of the odds ratio (LOD) scores greater than 2.9 were found for stomatal traits on linkage group B: adaxial SI (LOD scores of 5.4 and 5.2); abaxial SI (LOD score of 3.3); and SD (LOD score of 3.2). These results imply that QTL for SI and SD share linkage group B and are under genetic control. More moderate LOD scores (LOD scores >/= 2.5) suggest QTL for SI on linkage groups A and B and for SD on linkage groups B, D and X with a probable co-locating quantitative trait locus for SI and SD on linkage group D (position 46.3 cM). The QTL in both [aCO2] and [eCO2] for adaxial SD were co-located on linkage group X (LOD scores of 3.5 and 2.6, respectively) indicating a similar response across both treatments. Putative QTL were located on linkage group A (position 89.2 cM) for both leaf size and ECN in [aCO2] and for ECA at almost the same position. The data provide preliminary evidence that leaf stomatal and cell traits are amenable to QTL analysis.

Carbon Dioxide↗

Host suppressors in Arabidopsis thaliana of mutations in the movement protein gene of Cauliflower mosaic virus.

A novel genetic screen was used to identify host factors in Arabidopsis thaliana that suppress mutations in the Cauliflower mosaic virus (CaMV) movement protein gene (gene I). A series of small mutations was made in gene I and the mutations were tested for their suitability in a suppressor screen. The first round of screening yielded only revertants or second-site mutations in gene I. A derivative of one of the second-site mutant viruses (N7) that was delayed in symptom production was used in a second round of screening for suppressor plants that accelerated symptom production. Two candidate suppressor plants were found that accelerated by 1 to 4 days the first appearance of symptoms caused by the mutant viruses. One of the suppressors (5-2), called asc1 (acceleration of symptoms by CaMV N7), was mapped to chromosome 1. Two additional loci that differentially affect N7 virus susceptibility in the parental Columbia and Ler ecotypes were mapped to chromosomes 3 and 4 by quantitative trait locus (QTL) analysis.

Arabidopsis↗