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PubMed1999

A classical setting for associations between markers and loci affecting quantitative traits.

We examine the relationships between a genetic marker and a locus affecting a quantitative trait by decomposing the genetic effects of the marker locus into additive and dominance effects under a classical genetic model. We discuss the structure of the associations between the marker and the trait locus, paying attention to non-random union of gametes, multiple alleles at the marker and trait loci, and non-additivity of allelic effects at the trait locus. We consider that this greater-than-usual level of generality leads to additional insights, in a way reminiscent of Cockerham's decomposition of genetic variance into five terms: three terms in addition to the usual additive and dominance terms. Using our framework, we examine several common tests of association between a marker and a trait.

Animals↗

PubMed2001

Identification of quantitative trait loci controlling activation of TRBV4 CD8+ T cells during murine gamma-herpesvirus-induced infectious mononucleosis.

The murine gamma-herpesvirus, MHV-68, shares important biological and genetic features with the human gamma-herpesvirus, Epstein-Barr virus. Following intranasal infection, mice develop an infectious mononucleosis-like syndrome accompanied by increased numbers of activated CD8+ T cells in the blood. A consistent feature of the CD8+ T-cell activation is a marked increase in the frequency of cells expressing a TRBV4+ T-cell receptor. Previous studies suggested that the magnitude of TRBV4 expansion varied significantly among mouse strains, and was influenced by both MHC and non-MHC genes. Detailed analysis of strains with high (C57BL/6) or low (DBA/2) TRBV4 CD8+ T-cell expansion showed that differences in the degree of expansion were not a consequence of variation in genetic susceptibility to the viral infection. Rather, the magnitude of the TRBV4 CD8+ T-cell expansion correlated with differences in expression of the unidentified stimulatory ligand on activated, latently infected B cells. In the present study, analysis of TRBV4 expansion in C57BL/6, DBA/2, B6D2 F1 mice, BXD recombinant inbred strains, and the progeny of C57BL/6xDBA/2 F1 hybrids backcrossed to C57BL/6 demonstrated strong cumulative dominance of the low DBA/2 trait and moderately high heritability (h2 approximately 0.5). Two quantitative trait loci (QTLs) strongly associated with variance in TRBV4 expansion were identified using simple and composite mapping procedures. The first QTL is located on Chromosome (Chr) 17, near or proximal to H2. The second QTL is located on Chr 6 in a region spanning the Tcrb and Cd8a loci.

Animals↗

PubMed2000

Quantitative trait loci for obesity and insulin resistance (Nob1, Nob2) and their interaction with the leptin receptor allele (LeprA720T/T1044I) in New Zealand obese mice.

AIMS/HYPOTHESIS: To locate genes responsible for obesity and insulin resistance, a backcross model of New Zealand obese (NZO) mice with the lean Swiss/Jackson Laboratory (SJL) strain was stablished. RESULTS: In female NZO x F1 backcross mice, two major quantitative trait loci for variables of obesity (body weight, body mass index, total body fat) and insulin resistance (hyperinsulinaemia) were identified on chromosomes 5 (Nob1) and 19 (Nob2) close to the markers D5Mit392 and D19Mit91. The aberrant alleles have presumably contributed by the NZO genome. Whereas Nob1 contributed mainly to higher body weight, Nob2 seemed to mainly aggravate insulin resistance independent of obesity. The leptin receptor variant of NZO (LeprA720T/T1044I) failed to alter any of the variables of obesity. It seemed, however, to enhance the effect of Nob1 on body weight and that of Nob2 on serum insulin concentration. When expressed in COS-7 cells, LeprA720T/T10441 produced a normal basal and maximum activation with a minor increase in the EC50 of leptin. CONCLUSIONS/INTERPRETATION: The data identify two new quantitative trait loci that are responsible for a major part of obesity and hyperinsulinaemia as produced by recessive genes in NZO mice. LeprA720T/T1044I alone cannot produce obesity, but may enhance the effects of other obesity/insulin resistance genes in this mouse model.

Adipose Tissue↗

PubMed2005

Quantitative trait loci for baseline white blood cell count, platelet count, and mean platelet volume.

A substantial genetic contribution to baseline peripheral blood counts has been established. We performed quantitative trait locus/loci (QTL) analyses to identify chromosome (Chr) regions harboring genes influencing the baseline white blood cell (WBC) count, platelet (Plt) count, and mean platelet volume (MPV) in F(2) intercrosses between NZW/LacJ, SM/J, and C57BLKS/J inbred mice. We identified six significant WBC QTL: Wbcq1 (peak LOD score at 38 cM, Chr 1), Wbcq2 (42 cM, Chr 3), Wbcq3 (0 cM, Chr 15), Wbcq4 (58 cM, Chr 1), Wbcq5 (82 cM, Chr 1), and Wbcq6 (8 cM, Chr 14). Three significant Plt QTL were identified: Pltq1 (24 cM, Chr 2), Pltq2 (36 cM, Chr 7), and Pltq3 (10 cM, Chr 12). Two significant MPV QTL were identified, Mpvq1 (62 cM, Chr 15) and Mpvq2 (44 cM, Chr 8). In total, the WBC QTL accounted for up to 31% of the total variance in baseline WBC count, while the Plt and MPV QTL accounted for up to 30% and 49% of the total variance, respectively. These analyses underscore the genetic complexity underlying these traits in normal populations and provide the basis for future studies to identify novel genes involved in the regulation of mammalian hematopoiesis.

Alleles↗

PubMed2001

A comment on Xie and Xu: 'mapping quantitative trait loci in tetraploid species'.

Xie & Xu (2000) present a model for mapping quantitative trait loci in an autotetraploid population. However, one aspect of their model, namely gamete formation, does not properly represent the biological process in autotetraploid species. This paper gives a more realistic formulation for this part of the model, and discusses the consequences for multipoint mapping.

Breeding↗

PubMed2001

Quantitative trait loci for body weight, blood pressure, blood glucose, and serum lipids: linkage analysis with wild rats (Rattus norvegicus).

To study polygenetically inherited human diseases like hypertension, inbred rat strains are usually the preferred models. Because many inbred generations under optimized environmental conditions may have led to the survival of "silent" disease genes, we used a cross between one wild rat and genetically hypertensive SHR rats to analyze quantitative trait loci (QTLs) of blood pressure and related traits. The (Wild x SHR)F1 hybrids were transferred into a pathogen-free environment by wet-hysterectomy and were backcrossed onto SHR to generate first backcross hybrids (BC1). Progeny from one F1 female (n = 72) were phenotypically and genetically characterized to map QTLs. Significant, subsignificant, and suggestive evidence was found for more sex-specific than common linkage of blood pressure and most blood-pressure-related traits. Male- and female-specific regions were determined on different chromosomes for blood pressures (Chrs. 2 and 7 vs 5 and 11), body weight (Chrs. 10 vs 18), and blood glucose (Chr. 17 vs 20). A linkage in both males and females was shown for serum triglycerides on chromosomes 6 and 17, respectively, and blood glucose on chromosome 15. For serum total cholesterol, a significant linkage was found on chromosome 14 only in males. Our findings not only indicate the complex character of quantitative traits per se but also show impressively their dependence on sex, age, and strains in cosegregation analysis.

Animals↗

PubMed2002

Quantitative trait loci for inflorescence development in Arabidopsis thaliana.

Variation in inflorescence development patterns is a central factor in the evolutionary ecology of plants. The genetic architectures of 13 traits associated with inflorescence developmental timing, architecture, rosette morphology, and fitness were investigated in Arabidopsis thaliana, a model plant system. There is substantial naturally occurring genetic variation for inflorescence development traits, with broad sense heritabilities computed from 21 Arabidopsis ecotypes ranging from 0.134 to 0.772. Genetic correlations are significant for most (64/78) pairs of traits, suggesting either pleiotropy or tight linkage among loci. Quantitative trait locus (QTL) mapping indicates 47 and 63 QTL for inflorescence developmental traits in Ler x Col and Cvi x Ler recombinant inbred mapping populations, respectively. Several QTL associated with different developmental traits map to the same Arabidopsis chromosomal regions, in agreement with the strong genetic correlations observed. Epistasis among QTL was observed only in the Cvi x Ler population, and only between regions on chromosomes 1 and 5. Examination of the completed Arabidopsis genome sequence in three QTL regions revealed between 375 and 783 genes per region. Previously identified flowering time, inflorescence architecture, floral meristem identity, and hormone signaling genes represent some of the many candidate genes in these regions.

Arabidopsis↗

PubMed2002

Angiotensin-1-converting enzyme (ACE) plasma concentration is influenced by multiple ACE-linked quantitative trait nucleotides.

Circulating angiotensin-1-converting enzyme (ACE) is a highly heritable trait, and a major component of the genetic variance maps to the region of the ACE gene. The strong effect of the locus, and the interest in ACE as a candidate gene for cardiovascular disorders, has led to extensive investigation of its relationship to the ACE phenotype, providing one of the most complete examples of quantitative trait locus (QTL) analysis in humans. Resequencing of ACE followed by haplotype analysis in families of British and French origin has shown that the genetic variants that are primarily associated with the ACE trait map to an 18 kb interval flanked by two intragenic, ancestral recombination breakpoints. This critical interval contains dozens of ACE-associated variants in Caucasians, but identification of which of these directly influence ACE concentration is ambiguous because of the almost complete linkage disequilibrium in European populations. In a complementary sequencing and genotyping study of individuals from West African families, we show that this population has much greater haplotype diversity across the gene. Through analysis of the contrasting relationships of the trait phenotype with haplotypes that carry different allelic combinations from those observed in Caucasians, we demonstrate that (at least) two major intragenic sites within the critical interval and (at least) one minor promoter site are associated with the ACE quantitative trait through additive effects. These results point to the importance of analysing diverse populations with different gene genealogies in gene-association studies.

Black People↗

PubMed2006

Mixture cure model with an application to interval mapping of quantitative trait loci.

When censored time-to-event data are used to map quantitative trait loci (QTL), the existence of nonsusceptible subjects entails extra challenges. If the heterogeneous susceptibility is ignored or inappropriately handled, we may either fail to detect the responsible genetic factors or find spuriously significant locations. In this article, an interval mapping method based on parametric mixture cure models is proposed, which takes into consideration of nonsusceptible subjects. The proposed model can be used to detect the QTL that are responsible for differential susceptibility and/or time-to-event trait distribution. In particular, we propose a likelihood-based testing procedure with genome-wide significance levels calculated using a resampling method. The performance of the proposed method and the importance of considering the heterogeneous susceptibility are demonstrated by simulation studies and an application to survival data from an experiment on mice infected with Listeria monocytogenes.

Algorithms↗

PubMed2004

Shuttle craft: a candidate quantitative trait gene for Drosophila lifespan.

Variation in longevity in natural populations is attributable to the segregation of multiple interacting loci, whose effects are sensitive to the environment. Although there has been considerable recent progress towards understanding the environmental factors and genetic pathways that regulate lifespan, little is known about the genes causing naturally occurring variation in longevity. Previously, we used deficiency complementation mapping to map two closely linked quantitative trait loci (QTL) causing female-specific variation in longevity between the Oregon (Ore) and 2b strains of Drosophila melanogaster to 35B9-C3 and 35C3 on the second chromosome. The 35B9-C3 QTL encompasses a 50-kb region including four genes, for one of which, shuttle craft (stc), mutations have been generated. The 35C3 QTL localizes to a 200-kb interval with 15 genes, including three genes for which mutations exist (reduced (rd), guftagu (gft) and ms(2)35Ci). Here, we report quantitative complementation tests to mutations at these four positional candidate genes, and show that ms(2)35Ci and stc are novel candidate quantitative trait genes affecting variation in Drosophila longevity. Complementation tests with stc alleles reveal sex- and allele-specific failure to complement, and complementation effects are dependent on the genetic background, indicating considerable epistasis for lifespan. In addition, a homozygous viable stc allele has a sex-specific effect on lifespan. stc encodes an RNA polymerase II transcription factor, and is an attractive candidate gene for the regulation of longevity and variation in longevity, because it is required for motoneuron development and is expressed throughout development. Quantitative genetic analysis of naturally occurring variants with subtle effects on lifespan can identify novel candidate genes and pathways important in the regulation of longevity.

Aging↗

PubMed1994

TaqI restriction fragment length polymorphisms for growth hormone in bovine breeds and their association with quantitative traits.

The objectives of the present study were (1) to reveal GH-TaqI RFLPs in different bovine breeds and (2) to look for association between quantitative traits and GH-TaqI RFLPs in bulls highly selected for growth and meat production. Blood was sampled from 269 Holstein heifers, 48 Italian and 45 Hungarian Simmental heifers, 30 Normande heifers and 41 bulls and 13 heifers of the double-muscled Belgian White Blue breed. Bulls were weighed from 7 until 13 months of age and the average daily gain, the feed efficiency, the height and the phenotypic index were determined at the end of the experiment. GH-TaqI RFLPs revealed 4 DNA fragments of 6 (A), 5.2 (B), 4.4 (C) and 4.2 (D) kbp. The distribution of genotypes was different between Normande and the other breeds (P < 0.001) and between Belgian White Blue and Holstein (P < 0.001) or Hungarian Simmental breed (P < 0.005). The Normande heifers were also characterized by a high frequency of the AB genotype (53%) compared with other experimental breeds (range values: 7-24%). In the statistical analysis of the relationships between quantitative traits and GH-TaqI RFLPs in double-muscled Belgian White Blue bulls, the AC genotypic class was not used because of its low distribution. The AA class showed greater records of weight at 7 (P < 0.07) and 13 (P < 0.06) months of age than the AB class. In conclusion, this study has shown a correlation between the GH-TaqI RFLPs and weight at 7 and 13 months of age in Belgian White Blue bulls.(ABSTRACT TRUNCATED AT 250 WORDS)

Animals↗

PubMed2007

Accumulating quantitative trait linkage evidence across multiple datasets using the posterior probability of linkage.

Genome scans for complex disorders are frequently inconclusive, prompting researchers to increase sample size in an effort to obtain stronger evidence. However, increasing sample size in the presence of locus heterogeneity may actually, on average, decrease the linkage signal at a true susceptibility gene. The posterior probability of linkage, or PPL, was specifically designed to address this issue in the context of categorical trait analysis, by appropriately accumulating evidence either for or against linkage as new data are added. We now formulate a quantitative trait (QT) analog, the QT-PPL, which directly measures the evidence that a QT is linked to a genetic marker or location. The new QT-PPL is based on a classical single-locus QT likelihood with the trait parameters (allele frequency, genotypic means and variances) integrated out. We show using simulations that the QT-PPL is robust to two key modeling violations (multiple trait loci and non-normality in the form of excess kurtosis), as well as being inherently ascertainment corrected, and illustrate the advantages of the QT-PPL for accumulating linkage evidence across multiple sets of data compared to other QT linkage methods.

Computer Simulation↗

PubMed1999

Identification of quantitative trait loci for haloperidol-induced catalepsy on mouse chromosome 14.

Previous studies have established that neuroleptic-induced catalepsy in mice is a highly heritable trait. The current study focuses on the detection of quantitative trait loci (QTL) for haloperidol-induced catalepsy in a BALB/cJ x LP/J F(2) intercross. One thousand thirty-seven F(2) animals were phenotyped and divided into four categories: very responsive (RR), responsive, nonresponsive, and very nonresponsive (NN). The RR and NN phenotypes comprised approximately 18% each of the total and differed in their haloperidol sensitivity by >10-fold. Sex differed significantly between the NN and RR groups (chi(2) = 14.0; p <.0002); females comprised 58% of the RR individuals but only 38% of the NN individuals. The difference between the extreme phenotypes in the number of piebald animals was highly significant (chi(2) = 30, p <. 00001). Eight percent of the RR individuals were piebald compared with 30% of the NN individuals. A genome wide scan confirmed the presence of a QTL (peak LOD = 6.4) on chromosome 14 near the piebald (Ednrb) and 5-hydroxytryptamine(2A) (Htr2a) loci. Although the parental BALB/cJ and LP/J strains differed significantly in striatal 5-hydroxytryptamine(2A) receptor binding, no marked differences were detected between the phenotypic extremes. A second QTL was detected on chromosome 14 (peak LOD = 6.9), which was located more proximally and included the Chat locus. No QTLs were detected on chromosomes 1 and 9, thus differentiating this cross from previous results obtained for a C57BL/6J x DBA/2J intercross.

Animals↗

PubMed2006

Analysis of phase of LUCIFERASE expression reveals novel circadian quantitative trait loci in Arabidopsis.

In response to exogenous rhythms of light and temperature, most organisms exhibit endogenous circadian rhythms (i.e. cycles of behavior and gene expression with a periodicity of approximately 24 h). One of the defining characteristics of the circadian clock is its ability to synchronize (entrain) to an environmental rhythm. Entrainment is arguably the most salient feature of the clock in evolutionary terms. Previous quantitative trait studies of circadian characteristics in Arabidopsis (Arabidopsis thaliana) considered leaf movement under constant (free-running) conditions. This study, however, addressed the important circadian parameter of phase, which reflects the entrained relationship between the clock and the external cycle. Here it is shown that, when exposed to the same photoperiod, Arabidopsis accessions differ dramatically in phase. Variation in the timing of circadian LUCIFERASE expression was used to map loci affecting the entrained phase of the clock in a recombinant population derived from two geographically distant accessions, Landsberg erecta and Cape Verde Islands. Four quantitative trait loci (QTL) were found with major effects on circadian phase. A QTL on chromosome 5 contained SIGNALING IN RED LIGHT REDUCED 1 and PSEUDORESPONSE REGULATOR 3, both genes known to affect the circadian clock. Previously unknown polymorphisms were found in both genes, making them candidates for the effect on phase. Fine mapping of two other QTL highlighted genomic regions not previously identified in any circadian screens, indicating their effects are likely due to genes not hitherto considered part of the circadian system.

Amino Acid Sequence↗

PubMed2000

Quantitative trait loci modulate renal cystic disease severity in the mouse bpk model.

Numerous mouse models of polycystic kidney disease (PKD) have been described in which the mutant phenotypes closely resemble human PKD with regard to morphology, cyst localization, and disease progression. As in human PKD, genetic background affects the disease phenotype in mouse PKD models. Using experimental crosses, these modifying effects can be dissected into discrete genetic factors referred to as quantitative trait loci. The locus for the mouse bpk model was recently mapped to chromosome (Chr) 10. In the course of these studies, marked variability was observed in the renal cystic disease expressed in F2 bpk/bpk homozygotes of a (BALB/c-+/bpk x CAST/Ei)F1 intercross. The current study was undertaken to further characterize the renal cystic disease as quantitative trait in this F2 cohort and to map the genetic modifiers that modulate this phenotype. Whole-genome scans revealed a CAST-derived locus on distal Chr 6, near D6Mit14, that affects renal cystic disease severity. Additional analyses identified loci on Chr 1, Chr 2, and Chr 4, as well as a possible interaction between the Chr 6 locus and a locus on distal Chr 1, near D1Mit17. Interestingly, the gene encoding RGS7, a regulator of G protein signaling that binds to polycystin-1, was mapped to the same Chr 1 interval. It is concluded that the severity of the bpk renal cystic disease phenotype is modulated by multiple loci and possibly by epistatic interaction among them. It is hypothesized that the gene encoding the polycystin-binding partner RGS7 is a candidate for the Chr 1 genetic modifier.

Agammaglobulinaemia Tyrosine Kinase↗

PubMed2004

Adjusting data to body size: a comparison of methods as applied to quantitative trait loci analysis of musculoskeletal phenotypes.

UNLABELLED: The aim of this study was to compare three methods of adjusting skeletal data for body size and examine their use in QTL analyses. It was found that dividing skeletal phenotypes by body mass index induced erroneous QTL results. The preferred method of body size adjustment was multiple regression. INTRODUCTION: Many skeletal studies have reported strong correlations between phenotypes for muscle, bone, and body size, and these correlations add to the difficulty in identifying genetic influence on skeletal traits that are not mediated through overall body size. Quantitative trait loci (QTL) identified for skeletal phenotypes often map to the same chromosome regions as QTLs for body size. The actions of a QTL identified as influencing BMD could therefore be mediated through the generalized actions of growth on body size or muscle mass. MATERIALS AND METHODS: Three methods of adjusting skeletal phenotypes to body size were performed on morphologic, structural, and compositional measurements of the femur and tibia in 200-day-old C57BL/6J x DBA/2 (BXD) second generation (F(2)) mice (n = 400). A common method of removing the size effect has been through the use of ratios. This technique and two alternative techniques using simple and multiple regression were performed on muscle and skeletal data before QTL analyses, and the differences in QTL results were examined. RESULTS AND CONCLUSIONS: The use of ratios to remove the size effect was shown to increase the size effect by inducing spurious correlations, thereby leading to inaccurate QTL results. Adjustments for body size using multiple regression eliminated these problems. Multiple regression should be used to remove the variance of co-factors related to skeletal phenotypes to allow for the study of genetic influence independent of correlated phenotypes. However, to better understand the genetic influence, adjusted and unadjusted skeletal QTL results should be compared. Additional insight can be gained by observing the difference in LOD score between the adjusted and nonadjusted phenotypes. Identifying QTLs that exert their effects on skeletal phenotypes through body size-related pathways as well as those having a more direct and independent influence on bone are equally important in deciphering the complex physiologic pathways responsible for the maintenance of bone health.

Animals↗

PubMed2006

Quantitative trait loci (QTL) mapping of resistance to strongyles and coccidia in the free-living Soay sheep (Ovis aries).

A genome-wide scan was performed to detect quantitative trait loci (QTL) for resistance to gastrointestinal parasites and ectoparasitic keds segregating in the free-living Soay sheep population on St. Kilda (UK). The mapping panel consisted of a single pedigree of 882 individuals of which 588 were genotyped. The Soay linkage map used for the scans comprised 251 markers covering the whole genome at average spacing of 15cM. The traits here investigated were the strongyle faecal egg count (FEC), the coccidia faecal oocyst count (FOC) and a count of keds (Melophagus ovinus). QTL mapping was performed by means of variance component analysis so that the genetic parameters of the study traits were also estimated and compared with previous studies in Soay and domestic sheep. Strongyle FEC and coccidia FOC showed moderate heritability (h(2)=0.26 and 0.22, respectively) in lambs but low heritability in adults (h(2)<0.10). Ked count appeared to have very low h(2) in both lambs and adults. Genome scans were performed for the traits with moderate heritability and two genomic regions reached the level of suggestive linkage for coccidia FOC in lambs (logarithm of the odds=2.68 and 2.21 on chromosomes 3 and X, respectively). We believe this is the first study to report a QTL search for parasite resistance in a free-living animal population and therefore may represent a useful reference for similar studies aimed at understanding the genetics of host-parasite co-evolution in the wild.

Animals↗

PubMed2001

Broad and narrow heritabilities of quantitative traits in a founder population.

Estimation of the components of variance for a quantitative trait allows one to evaluate both the degree to which genetics influences the trait and the trait's underlying genetic architecture. For particular traits, the estimates also may have implications for discriminating between potential models of selection and for choosing an appropriate model for linkage analysis. Using a recently developed method, we estimate the additive and dominance components of variance--or, equivalently, the narrow and broad sense heritabilities--of several traits in the Hutterites, a founder population with extensive genealogical records. As a result of inbreeding and because Hutterite individuals are typically related through multiple lines of descent, we expect that power to detect dominance variance will be increased relative to that in outbred studies. Furthermore, the communal lifestyle of the Hutterites allows us to evaluate the genetic influences in a relatively homogeneous environment. Four phenotypes had a significant dominance variance, resulting in a relatively high broad heritability. We estimated the narrow and broad heritabilities as being, respectively,.36 and.96 for LDL,.51 and 1.0 for serotonin levels, and.45 and.76 for fat free mass (FFM). There was no significant additive component for systolic blood pressure (SBP), resulting in a narrow heritability of 0 and a broad heritability of.45. There were several traits for which we found no significant dominance component, resulting in equal broad and narrow heritability estimates. These traits and their heritabilities are as follows: HDL,.63; triglycerides,.37; diastolic blood pressure,.21; immunoglobulin E,.63; lipoprotein(a),.77; and body-mass index,.54. The large difference between broad and narrow heritabilities for LDL, serotonin, FFM, and SBP are indicative of strong dominance effects in these phenotypes. To our knowledge, this is the first study to report an estimate of heritability for serotonin and to detect a dominance variance for LDL, FFM, and SBP.

Blood Pressure↗