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Results for “quantitative genetics”

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At least 1,081 records · Page 60Linked to original sources
PubMed1989

Genetics of the quantitative Lp(a) lipoprotein trait. III. Contribution of Lp(a) glycoprotein phenotypes to normal lipid variation.

Apolipoprotein(a) [apo(a)] is a large serum glycoprotein with several genetically determined isoforms differing in their apparent molecular weight. We determined the effects of the apo(a) isoforms on total cholesterol, high-density lipoprotein (HDL)-cholesterol, lipoprotein(a), and triglyceride levels in a sample of 473 unrelated Tyrolean adults. Average lipoprotein(a) and total cholesterol levels were significantly different among apo(a) types. These significant differences were found among the 13 apo(a) isoform patterns observed in this sample and among several logical subsets of the isoform patterns (e.g. considering only the single band types). The data suggest that the effects of apo(a) alleles on Lp(a) levels are additive. The effects of apo(a) on total cholesterol levels cannot be entirely explained by the cholesterol fraction estimated to be contained in the lipoprotein(a) particle. We estimate that the apo(a) glycoprotein polymorphism accounts for 41.9% and 9.6% of the variability in lipoprotein(a) and total cholesterol levels, respectively. This is the strongest effect of a single polymorphic gene on plasma lipid and lipoprotein levels reported so far.

Cholesterol↗
PubMed1999

Meta-analysis of genetic linkage to quantitative trait loci with study-specific covariates: a mixed-effects model.

A method of meta-analysis was used to combine summary linkage information from four hypothetical study groups simulated in GAW11 Problem 2 with no knowledge of the answer. Five replication studies were selected from each group, and a pool of 20 primary studies was used for combining. Using a mixed-effects model with the among-study variation as random effects, we pooled results from all the 20 studies and detected strong linkage signals on chromosome 5 at D5G38 and on chromosome 3 near D3G45. We also found suggestive signals on chromosome 1 near D1G9, and possible interaction of D1G24 with the selection for the severe form of the disease.

Environment↗
PubMed2001

Detection of closely linked multiple quantitative trait loci using a genetic algorithm.

The existence of a quantitative trait locus (QTL) is usually tested using the likelihood of the quantitative trait on the basis of phenotypic character data plus the recombination fraction between QTL and flanking markers. When doing this, the likelihood is calculated for all possible locations on the linkage map. When multiple QTL are suspected close by, it is impractical to calculate the likelihood for all possible combinations of numbers and locations of QTL. Here, we propose a genetic algorithm (GA) for the heuristic solution of this problem. GA can globally search the optimum by improving the "genotype" with alterations called "recombination" and "mutation." The "genotype" of our GA is the number and location of QTL. The "fitness" is a function based on the likelihood plus Akaike's information criterion (AIC), which helps avoid false-positive QTL. A simulation study comparing the new method with existing QTL mapping packages shows the advantage of the new GA. The GA reliably distinguishes multiple QTL located in a single marker interval.

Algorithms↗
PubMed2001

Genetic analysis of quantitative traits in highly ascertained samples: total serum IgE in families with asthma.

The objective of this study was to compare the effect of an approximate ascertainment correction using proband phenotypes with heuristic corrections based on sample trait means and on published "standard" population values. Data were from the Collaborative Study on the Genetics of Asthma, which comprises 225 families ascertained through sib pairs affected with asthma. In variance component linkage analysis of IgE no lod scores greater than 3.0 were observed, either with or without several attempted corrections for ascertainment. The ascertained nature of the sample may have compromised the power to detect linkage to a quantitative trait (IgE) associated with the focal phenotype (asthma).

Adult↗
PubMed2004

Adaptation of PCR technique for quantitative estimation of genetic material from different regions of chromosome 21 in cases of trisomy 21.

Pre- and postnatal diagnosis of chromosomal aberrations is generally based on conventional cytogenetic analysis. In this paper, we have devised a quantitative polymerase chain reaction (Q-PCR) method to determine gene dose effects and applied it in cases of regular trisomy 21 as a model. The method is based on quantitative assessment of PCR products after using primers amplifying DNA fragments located in the pericentromeric, heterochromatic, euchromatic and telomeric regions of chromosome 21. A gene dose effect on the amount of PCR product in cases of trisomy 21 was confirmed. Moreover, a correlation between the amount of the PCR product of the examined sequences and their location in the chromosome was observed. The obtained results suggest that the Q-PCR technique can be applied in the diagnosis of aneuploidies.

Amyloid beta-Protein Precursor↗
PubMed2005

Genetic mapping of quantitative trait loci affecting susceptibility in chicken to develop pulmonary hypertension syndrome.

Pulmonary hypertension syndrome (PHS), also referred to as ascites syndrome, is a growth-related disorder of chickens frequently observed in fast-growing broilers with insufficient pulmonary vascular capacity at low temperature and/or at high altitude. A cross between two genetically different broiler dam lines that originated from the White Plymouth Rock breed was used to produce a three-generation population. This population was used for the detection and localization of quantitative trait loci (QTL) affecting PHS-related traits. Ten full-sib families consisting of 456 G2 birds were typed with 420 microsatellite markers covering 24 autosomal chromosomes. Phenotypic observations were collected on 4202 G3 birds and a full-sib across family regression interval mapping approach was used to identify QTL. There was statistical evidence for QTL on chicken chromosome 2 (GGA2), GGA4 and GGA6. Suggestive QTL were found on chromosomes 5, 8, 10, 27 and 28. The most significant QTL were located on GGA2 for right and total ventricular weight as percentage of body weight (%RV and %TV respectively). A related trait, the ratio of right ventricular weight as percentage to total ventricular weight (RATIO), reached the suggestive threshold on this chromosome. All three QTL effects identified on GGA2 had their maximum test statistic in the region flanked by markers MCW0185 and MCW0245 (335-421 cM).

Animals↗
PubMed2000

[Identification of mixed major genes and polygenes inheritance model of quantitative traits by using DH or RIL population].

The accuracy of the mixed inheritance analysis of quantitative traits with larger experimental error could be improved while using DH or RIL population. The segregation analysis method of identifying mixed major genes and polygenes inheritance model, including linkage inheritance model, of quantitative traits by using DH or RIL population was developed in this paper. The method may be applied to identify the mixed major gene and polygenes inheritance model of quantitative traits, estimate genetic effects and variances of major genes and polygenes, and the recombination value while there is linkage between two major genes. Finally, an example was used to illuminate the above procedure.

Genetic Linkage↗
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↗
PubMed1998

Genetic mapping of quantitative trait loci affecting susceptibility to Marek's disease virus induced tumors in F2 intercross chickens.

Marek's disease (MD) is a lymphoproliferative disease caused by the MD virus (MDV), which costs the poultry industry nearly $1 billion annually. To identify quantitative trait loci (QTL) affecting MD susceptibility, the inbred lines 6(3) (MD resistant) and 7(2) (MD susceptible) were mated to create more than 300 F2 chickens. The F2 chickens were challenged with MDV JM strain, moderately virulent) at 1 wk of age and assessed for MD susceptibility. The QTL analysis was divided into three stages. In stage 1, 65 DNA markers selected from the chicken genetic maps were typed on the 40 most MD-susceptible and the 40 most MD-resistant F2 chickens, and 21 markers residing near suggestive QTL were revealed by analysis of variance (ANOVA). In stage 2, the suggestive markers plus available flanking markers were typed on 272 F2 chickens, and three suggestive QTL were identified by ANOVA. In stage 3, using the interval mapping program Map Manager and permutation tests, two significant and two suggestive MD QTL were identified on four chromosomal subregions. Three to five loci collected explained between 11 and 23% of the phenotypic MD variation, or 32-68% of the genetic variance. This study constitutes the first report in the domestic chicken on the mapping of non-major histocompatibility complex QTL affecting MD susceptibility.

Analysis of Variance↗
PubMed2005

Derivation of genetic interaction networks from quantitative phenotype data.

We have generalized the derivation of genetic-interaction networks from quantitative phenotype data. Familiar and unfamiliar modes of genetic interaction were identified and defined. A network was derived from agar-invasion phenotypes of mutant yeast. Mutations showed specific modes of genetic interaction with specific biological processes. Mutations formed cliques of significant mutual information in their large-scale patterns of genetic interaction. These local and global interaction patterns reflect the effects of gene perturbations on biological processes and pathways.

Genes, Fungal↗
PubMed2002

Complexities in the genetic dissection of quantitative trait loci.

The analysis of complex traits, including those involved in many common diseases, has encountered significant difficulties, and, despite major efforts during the past decade, has had little success. Current advances in genomics, however, promise to change this. Recently, Steinmetz et al. used a new technique to produce the first complete quantitative trait locus (QTL) analysis of a complex trait from phenotype to gene to be published entirely in a single report. This marks a significant advance over previous QTL analyses, which took several years. The work exemplifies some of the complexities of QTL mapping and demonstrates a novel method to resolve the underlying genetic architecture of QTLs in yeast. Here we discuss this work in the general context of genetic dissection of complex traits and QTLs.

Chromosome Mapping↗
PubMed2002

Genetic influence on quantitative features of neocortical architecture.

The layout of functional cortical maps exhibits a high degree of interindividual variability that may account for individual differences in sensory and cognitive abilities. By quantitatively assessing the interindividual variability of orientation preference columns in the primary visual cortex, we demonstrate that column sizes and shapes as well as a measure of the homogeneity of column sizes across the visual cortex are significantly clustered in genetically related animals and in the two hemispheres of individual brains. Taking the developmental timetable of column formation into account, our data indicate a substantial genetic influence on the developmental specification of visual cortical architecture and suggest ways in which genetic information may influence an individual's visual abilities.

Animals↗
PubMed2002

Comparative genetic analysis of quantitative traits in sunflower ( Helianthus annuus L.) 1. QTL involved in resistance to Sclerotinia sclerotiorum and Diaporthe helianthi.

Sclerotinia sclerotiorum and Diaporthe helianthi are important pathogens of sunflower ( Helianthus annuus L.). Two hundred and twenty F2-F3 families were developed from an intraspecific cross between two inbred sunflower lines XRQ and PSC8. Using this segregating population a genetic map of 19 linkage groups with 290 molecular markers covering 2,318 cM was constructed. Disease resistances were measured in field experiments during 3 years (1998, 1999 and 2000) for phomopsis and 2 years for S. sclerotiorum (1997 and 1999). QTL were detected using the interval mapping method at a LOD threshold of 3. A total of 15 QTL for each pathogen resistance were detected across several linkage groups, confirming the polygenic nature of the resistances. These QTL explained from 7 to 41% of the phenotypic variability. The QTL for phomopsis resistance, in the 3 years of tests, mapped in the same region, and this was also true for some forms of S. sclerotiorum resistance in the 2 years of tests. On linkage group 8, QTL affecting resistance to both S. sclerotiorum and D. helianthi mycelium extension on leaves colocalised, suggesting a common component in the mechanism of resistance for these two pathogens. The colocalisation of QTL and breeding for resistance to S. sclerotiorum and to D. helianthi by pyramiding QTL in sunflower are discussed.

Journal Article↗
PubMed2005

Mapping quantitative trait loci for milk production and genetic polymorphisms of milk proteins in dairy sheep.

In this paper, we present recent advances in the molecular dissection of complex traits in dairy sheep and discuss their possible impact on breeding schemes. In the first step, we review the literature data on genetic polymorphisms and the effects of sheep alphas1-casein and beta-lactoglobulin loci. It is concluded that the results are rather inconsistent and cannot be used in dairy sheep selection. In a second step, we describe the strategy implemented in France, Italy and Spain taking advantage of the genetic maps for QTL detection. These studies were part of a European project, called "genesheepsafety", which investigated both milk production and functional traits. Preliminary QTL results are presented for production traits.

Animals↗
PubMed2006

Telomere length as a quantitative trait: genome-wide survey and genetic mapping of telomere length-control genes in yeast.

Telomere length-variation in deletion strains of Saccharomyces cerevisiae was used to identify genes and pathways that regulate telomere length. We found 72 genes that when deleted confer short telomeres, and 80 genes that confer long telomeres relative to those of wild-type yeast. Among identified genes, 88 have not been previously implicated in telomere length control. Genes that regulate telomere length span a variety of functions that can be broadly separated into telomerase-dependent and telomerase-independent pathways. We also found 39 genes that have an important role in telomere maintenance or cell proliferation in the absence of telomerase, including genes that participate in deoxyribonucleotide biosynthesis, sister chromatid cohesion, and vacuolar protein sorting. Given the large number of loci identified, we investigated telomere lengths in 13 wild yeast strains and found substantial natural variation in telomere length among the isolates. Furthermore, we crossed a wild isolate to a laboratory strain and analyzed telomere length in 122 progeny. Genome-wide linkage analysis among these segregants revealed two loci that account for 30%-35% of telomere length-variation between the strains. These findings support a general model of telomere length-variation in outbred populations that results from polymorphisms at a large number of loci. Furthermore, our results laid the foundation for studying genetic determinants of telomere length-variation and their roles in human disease.

Chromosome Mapping↗