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PubMed1997

Feasibility of the grandprogeny design for quantitative trait loci (QTL) detection in purebred beef cattle.

The grandprogeny design (GPD) was developed for dairy cattle to use existing pedigreed populations for quantitative trait locus (QTL) detection. Marker genotypes of grandsires and sons are determined, and trait phenotypic data from grandprogeny are analyzed. The objective of this study was to investigate the potential application of GPD in purebred beef cattle populations. Pedigree structures of Angus (n = 123,319), Hereford (n = 107,778), Brangus (n = 14,449), and Gelbvieh (n = 8,114) sire evaluation reports were analyzed to identify potentially useful families. Power of QTL detection was calculated for a range of QTL effects (.1 to .5 SD) and two Type I error rates (.01 and .001). Reasonable power (> .75) could be achieved using GPD in Angus and Hereford for QTL having moderate effects (.3 SD) on weaning weight and large effects (.4 to .5 SD) on birth, yearling, and maternal weaning weights by genotyping 500 animals. Existing Gelbvieh and Brangus families useful for GPD were limited, and reasonable power could be expected only for QTL having large effects on weaning or birth weights. Although family structures suitable for GPD exist in purebred beef populations, large amounts of genotyping would be required to achieve reasonable power, and only QTL having moderate to large effects could be expected to be identified.

Aging↗
PubMed1996

Mapping quantitative trait loci with extreme discordant sib pairs: sampling considerations.

Elsewhere we have proposed the use of extreme discordant sib pairs (EDSPs) for mapping quantitative trait loci in humans. Here we present sample sizes necessary to achieve a given level of power with this study design, as well as the number of sibs that need to be screened to obtain the required sample. Further, we present simple formulas for adjusting sample sizes to account for variable significance levels and power, as well as the density and informativeness of linkage markers in a multipoint sib-pair analysis. We conclude that with EDSPs, the most powerful study design, the smallest genetic effect detectable with a realistic sample size is approximately 10% of the variance of the trait.

Analysis of Variance↗
PubMed1996

Analysis of quantitative trait loci for blood pressure on rat chromosomes 2 and 13. Age-related differences in effect.

Previous studies have suggested the presence of quantitative trait loci (QTLs) influencing blood pressure on rat chromosomes 2 and 13. In this study, we mapped the QTLs in F2 rats derived from a cross of the spontaneously hypertensive rat and the Wistar-Kyoto rat and analyzed the effect of the QTLs on blood pressures measured longitudinally between 12 and 25 weeks of age. We analyzed 16 polymorphic markers spanning 147.3 cM on chromosome 2 and 13 markers spanning 91.6 cM on chromosome 13. Both chromosomes contained QTLs with highly significant effects on blood pressure (peak logarithm of the odds [LOD] scores, 5.64 and 5.75, respectively). On chromosome 2, the peak was localized to a position at anonymous marker D2Wox7, 2.9 cM away from the gene for the sodium-potassium ATPase alpha 1-subunit. On chromosome 13, the major peak coincided with the marker D13Mit2, 21.7 cM away from the renin gene, but there was a suggestion of multiple peaks. The effect of the QTL on chromosome 2 was seen throughout from 12 to 25 weeks of age, whereas interestingly, the effect for the QTL on chromosome 13 was maximal at 20 weeks of age but disappeared at 25 weeks of age, presumably because of the effect of either epistatic factors or environmental influences. The findings provide important information on QTLs influencing blood pressure on rat chromosomes 2 and 13 that will be useful in localizing and identifying the causative genes and emphasize the importance of age being taken into account when the effects of individual QTLs on a trait that shows significant age-related changes are being analyzed.

Aging↗
PubMed1998

A directed search for quantitative trait loci on chromosomes 4 and 7 in pigs.

Improvements in the porcine genetic map and availability of resource families to study performance traits in pigs have made it possible to re-examine previous findings that linked certain traits to genes or chromosomal regions. Previous studies suggested that chromosomes 4 and 7 may be associated with growth and performance traits. To confirm these previous results, an interval mapping-regression approach was used to determine whether quantitative trait loci (QTL) exist in the Iowa State University reference/resource families. Traits measured were birth weight; body weight at 21 d; weaning weight (weight at 42 d); average daily gain; backfat at the first, 10th, lumbar, and last ribs and average backfat thickness; loin eye area; meat color; marbling; and firmness. The total number of F2 pigs used ranged from 241 to 330 and came from five Chinese x American resource families. Five markers (S0001, SW871, S0175, S0214, and SW445) were genotyped and mapped on chromosome 4, and so were 10 markers (S0064, tumor necrosis factor alpha [TNFalpha], S0102, S0078, S0158, S0066, SW304, SW1083, S0101, and S0212) on chromosome 7. Data were analyzed for each family (breed cross) separately and were also pooled. Experiment-wise thresholds were used to determine significance. Suggestive evidence of QTL on chromosomes 4 and 7 was observed for several traits in pooled and individual family analyses. Suggestive evidence of a QTL with a relatively large effect for average daily gain was detected on chromosome 4 in the pooled analysis. Significant (P < .05) evidence for QTL was seen on chromosome 7 for 10th-rib, last-rib, and average backfat thickness in the pooled data set in a region of the chromosome that was near TNFalpha. These results verify in part that chromosomes 4 and 7 contain QTL for growth and carcass traits.

Animals↗
PubMed1993

Quantitative trait loci (QTL) analyses and alcohol-related behaviors.

Recombinant inbred (RI) strains can make an important contribution toward the merger of molecular genetics and quantitative genetics in the quest for quantitative trait loci (QTL). We present preliminary analyses of alcohol-related processes from our ongoing research using the BXD RI series. Issues concerning reliability, genetic correlations, and RI QTL analysis are discussed. Several strategies for replication and extension of QTL candidate regions are considered: F1 crosses between RI strains, F2 crosses, heterogeneous stock, interspecific backcrosses, QTL selection, and the use of murine QTL in chromosomal regions syntenic to human chromosomes as candidate chromosomal regions for human QTL.

Alcohol Drinking↗
PubMed1996

Computation of the full likelihood function for estimating variance at a quantitative trait locus.

The proportion of alleles identical by descent (IBD) determines the genetic covariance between relatives, and thus is crucial in estimating genetic variances of quantitative trait loci (QTL). However, IBD proportions at QTL are unobservable and must be inferred from marker information. The conventional method of QTL variance analysis maximizes the likelihood function by replacing the missing IBDs by their conditional expectations (the expectation method), while in fact the full likelihood function should take into account the conditional distribution of IBDs (the distribution method). The distribution method for families of more than two sibs has not been obvious because there are n(n - 1)/2 IBD variables in a family of size n, forming an n x n symmetrical matrix. In this paper, I use four binary variables, where each indicates the event that an allele from one of the four grandparents has passed to the individual. The IBD proportion between any two sibs is then expressed as a function of the indicators. Subsequently, the joint distribution of the IBD matrix is derived from the distribution of the indicator variables. Given the joint distribution of the unknown IBDs, a method to compute the full likelihood function is developed for families of arbitrary sizes.

Alleles↗
PubMed1976

Application of the lod method to the detection of linkage between a quantitative trait and a qualitative marker: a simulation experiment.

Simulation experiments were performed to assess the power of the lod method for detecting linkage between a quantitative trait and a qualitative marker. Using family data on the Amy2-Duffy linkage, it was found that linkage detection is feasible in certain limited circumstances. The same qualitative data yielded no evidence for a significant difference in male and female recombination fractions.

Amylases↗
PubMed1996

A generalization of the mixture model in the mapping of quantitative trait loci for progeny from a biparental cross of inbred lines.

The recent advent of molecular markers has created a great potential for the understanding of quantitative inheritance. In parallel to rapid developments and improvements in molecular marker technologies, biometrical models have been constructed, refined and generalized for the mapping of quantitative trait loci (QTL). However, current models present restrictions in terms of breeding designs to which they apply. In this paper, we develop an approach for the generalization of the mixture model for progeny from a single bi-parental cross of inbred lines. Detailed derivations are given for genetic designs involving populations developed by selfing, i.e., where marker genotypes are obtained from Fx (x > or = 2) individuals and where phenotypes are measured on Fy (y > or = x) individuals or families. Extensions to designs involving doubled-haploids, backcross-derived individuals and random matings are outlined. The derivations presented here can easily be combined with current QTL mapping approaches.

Crosses, Genetic↗
PubMed1996

Genetic markers linked to quantitative traits in poultry.

This study utilized DNA fingerprints and crosses of two genetically distinct lines of layer-type chickens to identify genetic markers linked to quantitative trait loci (QTL). In phase I, backcross (BC1) hens were separately ranked for each of eight traits and then blood pools were produced in groups along each phenotypic distribution. The DNA was isolated from the blood pools and used in a gradient analysis to screen for DNA fingerprint bands that exhibited intensity gradients associated with the phenotypic traits. To identify linkage of bands with QTL and to estimate band effects, F2 progeny were produced in phase II from the phase I BC1 population. A single-trait animal model was used for analysis of associations of all individual DNA fingerprint bands of sires and their progeny phenotypic performance. Twenty fingerprint bands, only two of which had shown trait-associated gradients in phase I, were identified by the animal model analysis of the progeny test as QTL linked (P < or = 0.05) to specific traits of growth, reproduction and egg quality. These 20 bands warrant further study as potentially valuable molecular markers for QTL.

Animals↗
PubMed2004

Coordinated genetic regulation of growth and lignin revealed by quantitative trait locus analysis of cDNA microarray data in an interspecific backcross of eucalyptus.

Phenotypic, genotypic, and transcript level (microarray) data from an interspecific backcross population of Eucalyptus grandis and Eucalyptus globulus were integrated to dissect the genetic and metabolic network underlying growth variation. Transcript abundance, measured for 2,608 genes in the differentiating xylem of a 91 (E. grandis x E. globulus) x E. grandis backcross progeny was correlated with diameter variation, revealing coordinated down-regulation of genes encoding enzymes of the lignin biosynthesis and associated methylation pathways in fast growing individuals. Lignin analysis of wood samples confirmed the content and quality predicted by the transcript levels measured on the microarrays. Quantitative trait locus (QTL) analysis of transcript levels of lignin-related genes showed that their mRNA abundance is regulated by two genetic loci, demonstrating coordinated genetic control over lignin biosynthesis. These two loci colocalize with QTLs for growth, suggesting that the same genomic regions are regulating growth, and lignin content and composition in the progeny. Genetic mapping of the lignin genes revealed that most of the key biosynthetic genes do not colocalize with growth and transcript level QTLs, with the exception of the locus encoding the enzyme S-adenosylmethionine synthase. This study illustrates the power of integrating quantitative analysis of gene expression data and genetic map information to discover genetic and metabolic networks regulating complex biological traits. (Sequence data for this article have been deposited with the EMBL/GenBank data libraries under accession numbers CB 967505 to CB 968059; CD 667988 to CD 670002; CD 670004; CD 670097; CD 670101 to CD 670112; and CD 670114 to CD 670137.)

Base Sequence↗
PubMed2002

Analysis of genetic effects of major genes and polygenes on quantitative traits I. Genetic model for diploid plants and animals.

A genetic model was proposed to simultaneously investigate genetic effects of both polygenes and several single genes for quantitative traits of diploid plants and animals. Mixed linear model approaches were employed for statistical analysis. Based on two mating designs, a full diallel cross and a modified diallel cross including F(2), Monte Carlo simulations were conducted to evaluate the unbiasedness and efficiency of the estimation of generalized least squares (GLS) and ordinary least squares (OLS) for fixed effects and of minimum norm quadratic unbiased estimation (MINQUE) and Henderson III for variance components. Estimates of MINQUE (1) were unbiased and efficient in both reduced and full genetic models. Henderson III could have a large bias when used to analyze the full genetic model. Simulation results also showed that GLS and OLS were good methods to estimate fixed effects in the genetic models. Data on Drosophila melanogaster from Gilbert were used as a worked example to demonstrate the parameter estimation.

Journal Article↗
PubMed1991

Maximum likelihood estimation of linkage between a marker gene and a quantitative trait locus. II. Application to backcross and doubled haploid populations.

The algorithm for estimating both the recombination fraction between a marker gene and a locus affecting a quantitative trait, and also the means and variances of the QTL genotypes, is extended to backcross and doubled haploid populations. The simulation experiments show that estimates of these parameters can be obtained with acceptable accuracy and results are compared with those obtained using F2 populations studied previously (Luo & Kearsey, 1989).

Algorithms↗
PubMed1993

The utilization of quantitative trait loci in toxicogenetics.

With the increasing number of marker loci available in mouse, the traditional method of recombinant inbred strains can be extended to searches for quantitative trait loci (QTL) influencing continuously distributed phenotypes. These loci have effect sizes too small to be easily detectable by conventional single-locus techniques. Collective, several QTL may account for a substantial proportion of the phenotypic variability. Prospective advantages of location of QTL in toxicology-relevant phenotypes include opportunities for the study of mechanism, prospects of generating animal models by genotypic selection, study of the dynamics of gene interaction, and guiding the search for homologous genes in human beings.

Alleles↗
PubMed1991

Use of recombinant inbred strains to detect quantitative trait loci associated with behavior.

Recombinant inbred (RI) strains are valuable not only for detecting major gene segregation and linkage but also for identifying associations between behavior and quantitative trait loci (QTL) that account for relatively small amounts of variation in behaviors for which strain distribution patterns are not bimodal. When applied to published data on genetic markers and on behavior for BXD RI strains, the RI QTL association approach suggests the presence of QTLs on chromosomes 6 and 12 for open-field activity and on chromosomes 1, 2, and 17 for high-pressure seizure susceptibility. Because the RI QTL approach does not require that the progenitor inbred strains of a particular RI series differ, researchers could focus on the BXD RI series, for which the greatest number of genetic markers are available. Focusing on BXD would capitalize on the cumulative nature of RI research which permits analyses of QTL sources of genetic correlations across studies.

Acoustic Stimulation↗
PubMed1980

The influence of the white-wing feather plumage gene Ww on various quantitative traits in chickens.

The white-wing plumage color gene Ww which acts as an embryonic lethal in homozygotes was studied to determine its pleiotropic effects on various quantitative traits. Two groups of birds Ww/ww+ and ww+/ww+ were compared for mortality, body weight, age to sexual maturity, egg production, egg weight and shape, and egg shell thickness. During 0 to 8 weeks of age, the Ww/ww+ birds showed three times greater mortality than did the ww+/ww+ birds. From 8 to 71 weeks of age their mortality was similar, although during the 36 to 71 week period the Ww/ww+ birds did show a somewhat higher level of mortality. The cause of the mortality was not determined. Body weight was consistently depressed for the Ww/ww+ birds; however, it was not always significantly so. No significant differences were noted among the other traits measured.

Animals↗
PubMed1992

Mapping quantitative trait loci for behavioral traits in the mouse.

After many years of studying various behavioral characters in the mouse, it is clear that most are heritable and are specified by complexes of genes or quantitative trait loci (QTLs). In order to attain a more complete understanding of the genetic causes of individual differences in behavior, the mechanism of action of these QTLs must be elucidated. The most straightforward approach to determining the mechanism of action of a particular QTL is to identify and molecularly clone the gene; this can be done by positional cloning, which depends on precise knowledge of the genetic map position. As the genetic data base for the mouse genome continues to develop, such strategies will become increasingly easy to perform. Here we suggest a multistage strategy for QTL mapping using recombinant-inbred strains of mice: (1) characterize genomic DNA from parental strains originally used to generate the RI strains; (2) characterize the RI strains for a quantitative character and for DNA markers that differ in the parental strains; and (3) assess the quantitative character in F2 mice derived from crosses between the parental strains, then determine the genotypes of extreme F2 mice for markers that account for at least 5% of the additive genetic variance. Data from these F2 crosses can be used to test hypotheses from the analysis of RI strains, i.e., that a QTL maps to a particular region. Using data from the mouse genome data base, this strategy should allow the molecular identification of the gene based on a candidate-gene approach. We illustrate the approach with examples from our work in mapping QTLs specifying neural sensitivity to the anesthetic effects of ethanol.

Alcoholism↗
PubMed2002

Genetic dissection of a genomic region for a quantitative trait locus, Hd3, into two loci, Hd3a and Hd3b, controlling heading date in rice.

The rice photoperiod sensitivity gene Hd3 was originally detected as a heading date-related quantitative trait locus localized on chromosome 6 of rice. High-resolution linkage mapping of Hd3 was performed using a large segregating population derived from advanced backcross progeny between a japonica variety, Nipponbare, and an indica variety, Kasalath. To determine the genotype of Hd3, we employed progeny testing under natural field and short-day conditions. As a result, two tightly linked loci, Hd3a and Hd3b, were identified in the Hd3 region. Nearly-isogenic lines for Hd3a and Hd3b were selected from progeny using marker-assisted selection. The inheritance mode of both Hd3a and Hd3b was found to be additive. Analysis of daylength response in nearly-isogenic lines of Hd3a and Hd3b showed that the Kasalath allele at Hd3a promotes heading under short-day conditions while that at Hd3b causes late heading under long-day and natural field conditions.

Journal Article↗
PubMed1996

Some additional results about polymorphisms in models of an additive quantitative trait under stabilizing selection.

The existence of two stable, symmetric (allelic frequency 0.5 in each locus) polymorphic states is demonstrated for a two-locus model of an additive quantitative trait under strong Gaussian selection. Linkage disequilibrium at one of the states is negative whereas it is positive at the other state. For a three-locus model, it is shown that in order to maintain a stable polymorphism in all three loci, selection must be sufficiently but not excessively strong relative to recombination. Also, positive linkage disequilibrium can be maintained in a three-locus model under stabilizing selection that is not very strong.

Alleles↗