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PubMed2004

Quantitative trait loci that modulate femoral mechanical properties in a genetically heterogeneous mouse population.

UNLABELLED: The goal of this study was to investigate genetic effects on mechanical properties of the mouse femur. We found evidence for QTL on eight chromosomes that affect mechanical traits. Some of these QTL may have primary effects on body weight or femoral geometry, and others seem to affect bone quality directly. INTRODUCTION: Previous studies have shown a dependence of fragility-related fracture risk on genetic background. Although many of these studies investigated the effect of genetics on BMD, basic measures of bone geometry and mechanical integrity may provide a more comprehensive characterization of the genetic effects on bone fragility. The purpose of this study was to identify quantitative trait loci (QTL) that affect mechanical and material properties of cortical bone in a genetically heterogeneous mouse population. MATERIALS AND METHODS: A total of 486 female UM-HET3 mice was used for this study. UM-HET3 mice are produced as the offspring of (BALB/cJ x C57BL/6J) F(1) females and (C3H/HeJ x DBA/2J) F(1) males. Femurs from 18-month-old mice were tested to failure in four-point bending to assess mechanical properties of cortical bone; these properties were compared with genotype data from 185 biallelic loci. A permutation-based test was used to detect significant associations between genetic markers and mechanical traits. This test generates p values that account for the effect of testing multiple hypotheses. Throughout the experiment, p < or = 0.05 was considered statistically significant. Analysis of covariance was used to examine possible effects of body weight and femoral geometry. RESULTS: We found evidence for genes on maternal chromosomes 11 and 13 and paternal chromosomes 2, 4, 7, 10, 11, and 17 that affect mechanical and material properties of femoral bone. The total variance explained by genetic effects on each mechanical trait ranges from 2.9% to 15.4%. Most of the identified polymorphisms influence mechanical traits even after adjustment for body weight. Adjustment for femoral geometry reduces the effects of some of the QTL, but those on chromosomes 2 and 10 do not seem to be influenced by femoral geometry. CONCLUSIONS: Many genes and chromosomes are involved in the genetic control over mechanical integrity of cortical bone. QTL on paternal chromosomes 4 and 11 may mediate mechanical properties, at least in part, by modulation of femoral geometry. Other QTL identified here may directly affect bone tissue quality.

Animals↗
PubMed2000

Quantitative trait loci on chromosomes 3 and 17 influence phenotypes of the metabolic syndrome.

Recent research has emphasized the importance of the metabolic cluster, which includes glucose intolerance, dyslipidemia, and high blood pressure, as a strong predictor of the obesity-related morbidities and premature mortality. Fundamental to this association, commonly referred to as the metabolic syndrome, is the close interaction between abdominal fat patterning, total body adiposity, and insulin resistance. As the initial step in identifying major genetic loci influencing these phenotypes, we performed a genomewide scan by using a 10-centiMorgan map in 2,209 individuals distributed over 507 nuclear Caucasian families. Pedigree-based analysis using a variance components linkage model demonstrated a quantitative trait locus (QTL) on chromosome 3 (3q27) strongly linked to six traits representing these fundamental phenotypes [logarithm of odds (lod) scores ranged from 2.4 to 3.5]. This QTL exhibited possible epistatic interaction with a second QTL on chromosome 17 (17p12) strongly linked to plasma leptin levels (lod = 5.0). Situated at these epistatic QTLs are candidate genes likely to influence two biologic precursor pathways of the metabolic syndrome.

Blood Glucose↗
PubMed2000

Quantitative trait loci controlling allergen-induced airway hyperresponsiveness in inbred mice.

Identification of the genetic loci underlying asthma in humans has been hampered by variability in clinical phenotype, uncontrolled environmental influences, and genetic heterogeneity. To circumvent these complications, the genetic regulation of asthma-associated phenotypes was studied in a murine model. We characterized the strain distribution patterns for the asthma-related phenotypes airway hyperresponsiveness (AHR), lung eosinophils, and ovalbumin (OVA)-specific serum immunoglobulin (Ig) E induced by allergen exposure protocols in A/J, AKR/J, BALB/cJ, C3H/HeJ, and C57BL/6J inbred strains and in (C3H/HeJ x A/J)F1 mice. Expression of AHR differed between strains and was sometimes discordant with lung eosinophils or serum IgE. Furthermore, we identified two distinct quantitative trait loci (QTL) for susceptibility to allergen-induced AHR, Abhr1 (allergen-induced bronchial hyperresponsiveness) (lod = 4. 2) and Abhr2 (lod = 3.7), on chromosome 2 in backcross progeny from A/J and C3H/HeJ mice. In addition, a QTL on chromosome 7 was suggestive of linkage to this trait. These QTL differ from those we have previously found to control noninflammatory AHR in the same crosses. Elucidation of the genes underlying these QTL will facilitate the identification of biochemical pathways regulating AHR in animal models of asthma and may provide insights into the pathogenesis of human disease.

Allergens↗
PubMed2000

Quantitative trait loci modulate neutrophil infiltration in the liver during LPS-induced inflammation.

A crucial aspect of the inflammatory response is the recruitment of activated neutrophils (PMN) to the site of damage. Lytic enzymes and oxygen radicals released by PMN are important in clearing an infection or cellular debris, but can also produce host tissue damage. Failure to properly regulate the inflammatory response contributes to a variety of human diseases like sepsis and multiple organ dysfunction syndrome, the leading cause of morbidity and mortality in surgical intensive care units. Many aspects of human disease pathology, including hepatic PMN infiltration, can be recapitulated in mice using an endotoxic shock model. Six quantitative trait loci that predispose to high infiltration of PMN in hepatic sinusoids after high-dose endotoxin administration were provisionally identified. Two of these loci, Hpi1 and Hpi2 on mouse chromosomes 5 and 13, were mapped to the significant and highly significant level using a low-resolution genome scan on 122 intercross animals. These loci interact epistatically to produce a high degree of PMN infiltration. Intercross and recombinant inbred strain mice with a specific genotype at these loci always had a high infiltration response, indicating that genotype analysis at just these two loci can accurately predict a high PMN infiltration response. Genetic predisposition to the degree of PMN infiltration in the inflammatory response in mice suggests that analogous genetic mechanisms occur in human beings that could be used for diagnostic purposes.

Animals↗
PubMed2001

Two novel quantitative trait loci on mouse chromosomes 6 and 4 independently and synergistically regulate plasma apoB levels.

An elevated plasma apolipoprotein B (apoB) level is a strong predictor of atherosclerosis and coronary heart disease. Epidemiologic and family linkage studies have suggested a genetic basis for the wide variations of plasma apoB levels in the general population. Using a human apoB transgenic (HuBTg) mouse model, we have previously shown that hepatic apoB-100 secretion is a major determinant of the high and low plasma human apoB levels in HuBTg mice of the C57BL/6 (B6) and 129/Sv (129) strains, respectively. In the present article, we present the identification of two novel quantitative trait loci (QTL) as major regulators of plasma human apoB levels in the F(2) and N(2) (backcrossed) offspring (n = 572) derived from crosses between the B6 and 129 mouse strains. These loci were designated ApoB regulator genes (Abrg), because the gene products are likely to be involved in the regulation of plasma apoB levels either directly or indirectly. The first locus, designated Abrg1, was mapped to chromosome 6 in 8-week-old male and female mice with a combined logarithm of odds ratio (LOD) score of 14 at the D6Mit55 marker ( approximately 45.9 cM). Abrg1 contributed approximately 35% of the genetic variance. The second locus, designated Abrg2, was mapped to chromosome 4 with an LOD score of 8.6 in 8-week-old male mice but an LOD score of only 2.0 in 8-week-old female mice at the D4Mit27 marker ( approximately 35 cM). Abrg2 contributed approximately 26% of the genetic variance. Epistasis between Abrg1 and Abrg2 was detected and accounted for approximately 12% of the genetic variance. The combination of these two QTL has major effects (>70%) on the regulation of plasma human apoB levels in the tested population. In summary, we have identified two novel loci that have a major role in the regulation of plasma apoB levels and are likely to regulate the secretory pathway of apoB. The human orthologs for the Abrg loci are strong candidates for human disorders characterized by altered plasma apoB levels, such as FCHL and familial hypobetalipoproteinemia.

Analysis of Variance↗
PubMed2003

Combined segregation and linkage analysis of fibrinogen variability in Israeli families: evidence for two quantitative-trait loci, one of which is linked to a functional variant (-58G > A) in the promoter of the alpha-fibrinogen gene.

The association of alpha- and beta-fibrinogen polymorphisms with plasma fibrinogen levels was examined in a sample of 452 family members from 80 Israeli kindreds. The measured genotype analysis indicated that the beta-fibrinogen -455G > A polymorphism was not associated with fibrinogen levels, while the alpha-fibrinogen -58G > A locus showed a significant association with fibrinogen levels (chi2= 17.7; df = 3; p < 0.001), with the -58A allele being associated with higher levels. Segregation analysis in this sample suggested a recessive quantitative-trait locus (QTL) with a major effect that controlled the sex- and age-adjusted fibrinogen levels. Results from a combined segregation/linkage analysis indicated that a single QTL influencing plasma fibrinogen is in gametic equilibrium with the beta-fibrinogen -455G > A and alpha-fibrinogen -58G > A polymorphisms. An extended analysis with a two-QTL model significantly improved the fit of the model (p < or = 0.001), and gave support for linkage between the fibrinogen QTL and the alpha-fibrinogen polymorphism. In vitro analysis with a DNA fragment containing this variant, linked to a reporter gene, showed 2-fold higher expression of the A allele compared to the G allele in the liver cell line HepG2, both under basal conditions and after stimulation with interleukin 6. These results demonstrate that two QTLs are jointly involved in determining plasma fibrinogen levels in this sample of families, one of which is located close to a functional variant in the alpha-fibrinogen locus.

Cell Line↗
PubMed2026

Single-cell expression quantitative trait locus Mendelian randomization reveals immune cell-specific causal regulatory networks and actionable targets in polycystic ovary syndrome.

ObjectiveTo systematically investigate whether the pathogenesis of polycystic ovary syndrome (PCOS) is causally related to dysregulated gene expression in specific immune cell subsets, and to evaluate the potential of these causal genes as actionable drug targets.MethodsThis study employed a two-sample Mendelian randomization (MR) framework using publicly available genome-wide association study (GWAS) summary statistics. The participant data included 797 PCOS cases and 140,558 controls (no direct patient recruitment was involved). Instrumental variables were derived from high-resolution immune cell-specific single-cell expression quantitative trait locus (sc-eQTL) data (OneK1K project) across 14 immune cell types. Primary analyses utilized the inverse-variance weighted (IVW) method. Shared causal variants were validated using Bayesian colocalization. Phenome-wide association analysis (PheWAS), external transcriptomic dataset validation (GSE8157), and DrugBank database screening were conducted for pleiotropy assessment and drug repositioning.ResultsMR analysis revealed genome-wide significant causal associations for GLIPR1 in non-classical monocytes (Mono NC) and XBP1 in CD4+ effector memory T cells (CD4 ET) with PCOS risk. Higher GLIPR1 expression was associated with a decreased PCOS risk (OR = 0.669, P = 4.34&#xd7;10-6), whereas higher XBP1 expression was associated with an increased risk (OR = 1.406, P = 9.53&#xd7;10-8). Colocalization analysis confirmed that GLIPR1 shares a causal variant with PCOS (PP.H4 = 96.73%). PheWAS and external validation confirmed the safety profile and significant upregulation (P = 0.03) of GLIPR1. Drug repositioning identified SOT-107, a Phase III protein therapy drug, as a potential interacting agent for GLIPR1.ConclusionsThis sc-eQTL MR study reveals immune cell-specific causal regulatory networks in PCOS. GLIPR1 in non-classical monocytes represents a high-confidence protective target, while XBP1 provides suggestive evidence for immune-mediated pathogenesis. The candidate drug SOT-107 highlights theoretical repositioning opportunities, though rigorous preclinical validation remains required.

Female↗
PubMed2004

Quantitative trait analysis reveals transforming growth factor-beta2 as a positive regulator of early hematopoietic progenitor and stem cell function.

Elucidation of pathways involved in mouse strain-dependent variation in the hematopoietic stem cell (HSC) compartment may reveal novel mechanisms relevant in vivo. Here, we demonstrate genetically determined variation in the proliferation of lin-Sca1++kit+ (LSK) primitive hematopoietic progenitor cells in response to transforming growth factor-beta (TGF-beta) 2, the dose response of which was biphasic with a stimulatory effect at low concentrations. In contrast, the dose responses of TGF-beta1 or -beta3 were inhibitory and did not show mouse strain-dependent variation. A quantitative trait locus (QTL) for the effect of TGF-beta2 was identified on chromosome 4 overlapping with a QTL regulating the frequency of LSK cells. These overlapping QTL were corroborated by the observation that the frequency of LSK cells is lower in adult Tgfb2+/- mice than in wild-type littermates, indicating that TGF-beta2 is a genetically determined positive regulator LSK number in vivo. Furthermore, adult Tgfb2+/- mice have a defect in competitive repopulation potential that becomes more pronounced upon serial transplantation. In fetal TGF-beta2-deficient HSCs, a defect only appears after serial reconstitution. These data suggest that TGF-beta2 can act cell autonomously and is important for HSCs that have undergone replicative stress. Thus, TGF-beta2 is a novel, genetically determined positive regulator of adult HSCs.

Animals↗
PubMed2002

Introgression of a quantitative trait locus for yield from Glycine soja into commercial soybean cultivars.

The value of exotic germplasm in broadening the genetic base of most crops has been demonstrated many times. However, the difficulties involved in working with exotic germplasm have limited their utility in plant breeding. Unwanted linkages often thwart the successful incorporation of beneficial exotic genes into commercial lines. Thus, the use of exotics in traditional breeding makes the process of crop improvement a tedious, time-consuming and expensive endeavor. The availability of molecular markers makes it possible to isolate specific genomic regions and transfer them into commercial varieties with minimal linkage drag. We found a yield-enhancing quantitative trait locus (QTL) from Glycine soja (Siebold and Zucc.) by evaluating a population of 265 BC(2) individuals from a cross between HS-1 and PI 407305. The yield QTL was located on linkage group B2(U26) of the soybean [Glycine max (L.) Merrill] genetic linkage map. In a 2-year, multi-location study, individuals carrying the PI 407305 haplotype at the QTL locus demonstrated a 9.4% yield advantage over individuals that did not contain the exotic haplotype. When tested in a more uniform "HS-1-like" background in two locations, we observed an 8% yield advantage for lines that carry the PI 407305 haplotype. We further assessed the QTL effect in various elite soybean genetic backgrounds. The yield effect was consistently observed in only two of six genetic backgrounds. Individuals carrying the PI 407305 haplotype at the QTL locus had a 9% yield advantage in yield trials across locations. Despite the limited adaptability of this yield-QTL across genetic backgrounds, this study demonstrates the potential of exotic germplasm for yield enhancement in soybean.

Alleles↗
PubMed1998

Multiple phenotype modeling in gene-mapping studies of quantitative traits: power advantages.

Genomewide searches for loci influencing complex human traits and diseases such as diabetes, hypertension, and obesity are often plagued by low power and interpretive difficulties. Attempts to remedy these difficulties have typically relied on, and have promoted the use of, novel subject-ascertainment schemes, larger sample sizes, a greater density of DNA markers, and more-sophisticated statistical modeling and analysis strategies. Many of these remedies can be costly to implement. We investigate the utility of a simple statistical model for the mapping of quantitative-trait loci that incorporates multiple phenotypic or diagnostic endpoints into a gene-mapping analysis. The approach considers finding a linear combination of multiple phenotypic values that maximizes the evidence for linkage to a locus. Our results suggest that substantial increases in the power to map loci can be obtained with the proposed technique, although the increase in power obtained is a function of the size and direction of the residual correlation among the phenotypes used in the analysis. Extensive simulation studies are described that justify these claims, for cases in which two phenotypic measures are analyzed. This approach can be easily extended to cover more-complex situations and may provide a basis for more insightful genetic-analysis paradigms.

Chromosome Mapping↗
PubMed1998

Provisional mapping of quantitative trait loci for chronic ethanol withdrawal severity in BXD recombinant inbred mice.

Male mice from C57BL/6J (B6), DBA/2J (D2) and their 25 recombinant inbred (RI) strains were exposed to ethanol (EtOH) vapor (3.0-9.0 mg EtOH/liter of air) for 72 hr. Mice were selected such that each strain averaged 1.34 to 1.59 mg of EtOH/ml of blood on withdrawal. Control groups and EtOH-exposed groups were tested hourly for handling-induced convulsions (HIC) for 10 hr and at hr 24 and 25. Strain withdrawal severity was indexed as the area under the 25-hr HIC curve for the EtOH group minus that strain's equivalent value for the control group. Genome-wide quantitative trait locus (QTL) analyses correlating strain means with allelic status at > 1500 markers identified 10 chromosomal regions at P < .01. These provisionally identified QTLs were on chromosomes 1 (2 QTLs), 3, 9 (2 QTLs), 10, 12, 13, 15 and 18. Multiple regression analysis using the four most influential QTLs revealed that these loci controlled 86% of the genetic variance. A QTL mapped to distal chromosome 1 (P < .001) is in the same region as one previously definitively mapped for acute alcohol withdrawal, as well as one mapped for acute pentobarbital withdrawal. Several of the QTLs map near potential candidate genes. These provisional linkages will now be confirmed or rejected using additional genetically segregating populations.

Animals↗
PubMed2003

Susceptibility to anthrax lethal toxin is controlled by three linked quantitative trait loci.

Anthrax lethal toxin (LT) is the principal virulence factor associated with lethal pathologies following infection with Bacillus anthracis. Macrophages are the primary effector cells mediating lethality since macrophage-depleted mice are resistant to LT challenge. Recently, Ltxs1, the gene controlling differential susceptibility of murine macrophages to cytolysis following in vitro exposure to LT, was identified as Kif1c. To directly assess the in vivo role of Kif1c alleles in mortality, we studied a panel of interval-specific recombinant congenic lines carrying various segments of central chromosome 11 derived from LT-resistant DBA/2 mice on the LT-susceptible BALB/c background. The results of this study reveal that mortality is controlled by three linked quantitative trait loci (QTL): Ltxs1/Kif1c (42-43 cM), Ltxs2 (35-37 cM), and Ltxs3 (45-47 cM). The Ltxs3 interval encompasses Nos2, which is an attractive candidate gene for Ltxs3. In this regard, we demonstrate that selective, pharmacologically based inhibition of Nos2 activity in vivo partially overrides genetic resistance to LT and that Nos2 expression as determined by reverse transcription-polymerase chain reaction differs significantly between DBA/2 and BALB/c macrophages. Additionally, to recapitulate dominant resistance to mortality as seen in (BALB/c x DBA/2) F(1) hybrids, DBA/2 alleles are required at all three QTL.

Animals↗
PubMed2005

A quantitative trait locus for aortic smooth muscle cell number acting independently of blood pressure: implicating the angiotensin receptor AT1B gene as a candidate.

Vascular hyperplasia may be involved in the remodeling of vasculature. It was unknown whether there were genetic determinants for aortic smooth muscle cell number (SMCN) and, if so, whether they acted independently of those for blood pressure (BP). To unravel this issue, we utilized congenic strains previously constructed for BP studies. These strains were made by replacing various chromosome 2 segments of the Dahl salt-sensitive (S) rat with those of the Milan normotensive rat (MNS). We measured and compared SMCN in aortic cross-sectional areas and BPs of these strains. Consequently, a quantitative trait locus (QTL) for SMCN was localized to a chromosome region not containing a BP QTL, but harboring the locus for the angiotensin II receptor AT1B (Agtr1b). Agtr1b became a candidate for the SMCN QTL because 1) two significant mutations were found in the coding region between S and all congenic strains possessing the MNS alleles, and 2) contractile responses to angiotensin II were significantly and selectively reduced in congenic rats harboring the MNS alleles of the SMCN QTL compared with S rats. The current investigation presents the first line of evidence that a QTL for aortic SMCN exists, and it acts independently of QTLs for BP. The relevant congenic strains developed therein potentially provide novel mammalian models for the studies of vascular remodeling disorders.

Animals↗
PubMed2005

Chromosomal mapping of quantitative trait loci controlling elastin content in rat aorta.

Extracellular matrix molecules such as elastin and collagens provide mechanical support to the vessel wall. In addition to its structural role, elastin is a regulator that maintains homeostasis through biologic signaling. Genetically determined minor modifications in elastin and collagen in the aorta could influence the onset and evolution of arterial pathology, such as hypertension and its complications. We previously demonstrated that the inbred Brown Norway (BN) rat shows an aortic elastin deficit in both abdominal and thoracic segments, partly because of a decrease in tropoelastin synthesis when compared with the LOU rat, that elastin gene polymorphisms in these strains do not significantly account for. After a genome-wide search for quantitative trait loci (QTL) influencing the aortic elastin, collagen, and cell protein contents in an F2 population derived from BN and LOU rats, we identified on chromosomes 2 and 14, 3 QTL specifically controlling elastin levels, and a further highly significant QTL on chromosome 17 linked to the level of cell proteins. We also mapped 3 highly significant QTL linked to body weight (on chromosomes 1 and 3) and heart weight (on chromosome 1) in the cross. This study demonstrates the polygenic control of the content of key components of the arterial wall. Such information represents a first step in understanding possible mechanisms involved in dysregulation of these parameters in arterial pathology.

Animals↗
PubMed2001

A quantitative trait locus influencing activin-to-estrogen ratio in pedigreed baboons maps to a region homologous to human chromosome 19.

Activin is a multifunctional hormone playing a major role in the regulation of reproduction and growth and development. We performed a genomewide scan using multipoint linkage analysis implemented in a general pedigree-based variance component approach to identify genes with measurable effects on variation in the activin-to-estrogen ratio in baboons. A microsatellite polymorphism, D19S714, which maps to human chromosome 19p13.2, showed marginal evidence of linkage with a lod (log10 of the odds in favor of genetic linkage) score of 1.95 (0.014). This region contains several potential candidate genes including PKA (protein kinase, cAMP-dependent, catalytic alpha) and the gene pair JUN-B and JUN-D. This is the first evidence of a quantitative trait locus with a significant effect on the activin-to-estrogen ratio.

Activins↗
PubMed2000

Quantitative trait locus mapping of genes regulating pulmonary PKC activity and PKC-alpha content.

Strain A/J mice, which are predisposed to experimentally induced asthma and adenocarcinoma, have the lowest pulmonary protein kinase (PK) C activity and content among 22 inbred mouse strains. PKC in neonatal A/J mice is similar to that in other strains, so this difference reflects strain-dependent postnatal regulation. PKC activity is 60% higher in C57BL/6J (B6) than in A/J lungs, and the protein and mRNA concentrations of PKC-alpha, the major pulmonary PKC isozyme, are two- to threefold higher in B6 mice. These differences result from more than a single gene as assessed in F(1), F(2), and backcross progeny of B6 and A/J parents. Quantitative trait locus (QTL) analysis of 23 AxB and BxA recombinant inbred strains derived from B6 and A/J progenitors indicates a major locus regulating lung PKC-alpha content that maps near the Pkcalpha structural gene on chromosome 11 (D11MIT333; likelihood ratio statistic = 12.5) and a major locus controlling PKC activity that maps on chromosome 3 (D3MIT19; likelihood ratio statistic = 15.4). The chromosome 11 QTL responsible for low PKC-alpha content falls within QTLs for susceptibilities to lung tumorigenesis and ozone-induced toxicity.

Animals↗
PubMed2001

Identification of multiple quantitative trait loci linked to prion disease incubation period in mice.

Polymorphisms in the prion protein gene are known to affect prion disease incubation times and susceptibility in humans and mice. However, studies with inbred lines of mice show that large differences in incubation times occur even with the same amino acid sequence of the prion protein, suggesting that other genes may contribute to the observed variation. To identify these loci we analyzed 1,009 animals from an F2 intercross between two strains of mice, CAST/Ei and NZW/OlaHSd, with significantly different incubation periods when challenged with RML scrapie prions. Interval mapping identified three highly significantly linked regions on chromosomes 2, 11, and 12; composite interval mapping suggests that each of these regions includes multiple linked quantitative trait loci. Suggestive evidence for linkage was obtained on chromosomes 6 and 7. The sequence conservation between the mouse and human genome suggests that identification of mouse prion susceptibility alleles may have direct relevance to understanding human susceptibility to bovine spongiform encephalopathy (BSE) infection, as well as identifying key factors in the molecular pathways of prion pathogenesis. However, the demonstration of other major genetic effects on incubation period suggests the need for extreme caution in interpreting estimates of variant Creutzfeldt-Jakob disease epidemic size utilizing existing epidemiological models.

Animals↗
PubMed2004

Quantitative trait loci for steady-state platelet count in mice.

Platelet count in humans is a strongly genetically regulated trait, with approximately 85% of the interindividual variance in platelet numbers attributable to genetic factors. Inbred mouse strains also have strain-specific platelet count ranges. As part of a project to identify novel factors that regulate platelet count, we identified two inbred mouse strains, CBA/CaH and QSi5, with substantial differences in platelet count (mean values of 581 vs. 1062 x 10(9)/L). An F(2) intercross resource of 1126 animals was bred from these two parental strains for a genomewide scan for quantitative trait loci (QTL) for platelet count. QTL were identified on MMU1 (LOD 6.8, p < 0.0005) and MMU11 (LOD 11.2, p < 0.0005) by selectively genotyping animals from the extremes of the F(2) platelet count distribution. Three other QTL of suggestive statistical significance were also detected on MMU7, 13, and 17. It is noteworthy that no QTL were detected in the vicinity of the genes encoding thrombopoietin ( Thpo), and its receptor ( c-Mpl), both known to influence platelet production. Comparison of gene expression levels between the parental mouse strains by microarrays also showed little difference in the mRNA levels of these known candidate genes. These results represent the first published use of a genetic linkage-based approach in a mouse model toward the identification of genetic factors that regulate platelet count.

Animals↗