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The Finland-United States investigation of non-insulin-dependent diabetes mellitus genetics (FUSION) study. II. An autosomal genome scan for diabetes-related quantitative-trait loci.

Type 2 diabetes mellitus is a complex disorder encompassing multiple metabolic defects. We report results from an autosomal genome scan for type 2 diabetes-related quantitative traits in 580 Finnish families ascertained for an affected sibling pair and analyzed by the variance components-based quantitative-trait locus (QTL) linkage approach. We analyzed diabetic and nondiabetic subjects separately, because of the possible impact of disease on the traits of interest. In diabetic individuals, our strongest results were observed on chromosomes 3 (fasting C-peptide/glucose: maximum LOD score [MLS] = 3.13 at 53.0 cM) and 13 (body-mass index: MLS = 3.28 at 5.0 cM). In nondiabetic individuals, the strongest results were observed on chromosomes 10 (acute insulin response: MLS = 3.11 at 21.0 cM), 13 (2-h insulin: MLS = 2.86 at 65.5 cM), and 17 (fasting insulin/glucose ratio: MLS = 3.20 at 9.0 cM). In several cases, there was evidence for overlapping signals between diabetic and nondiabetic individuals; therefore we performed joint analyses. In these joint analyses, we observed strong signals for chromosomes 3 (body-mass index: MLS = 3.43 at 59.5 cM), 17 (empirical insulin-resistance index: MLS = 3.61 at 0.0 cM), and 19 (empirical insulin-resistance index: MLS = 2.80 at 74.5 cM). Integrating genome-scan results from the companion article by Ghosh et al., we identify several regions that may harbor susceptibility genes for type 2 diabetes in the Finnish population.

Age Factors↗

Evaluation of single-nucleotide polymorphisms in CAPN1 for association with meat tenderness in cattle.

Micromolar calcium activated neutral protease (CAPN1) was evaluated as a candidate gene for a quantitative trait locus (QTL) on BTA29 affecting meat tenderness by characterization of nucleotide sequence variation in the gene. Single-nucleotide polymorphisms (SNP) were identified by sequencing all 22 exons and 19 of the 21 introns in two sires (Piedmontese x Angus located at the U.S. Meat Animal Research Center in Clay Center, NE; Jersey x Limousin located at AgResearch in New Zealand) of independent resource populations previously shown to be segregating meat tenderness QTL on BTA29. The majority of the 38 SNP were found in introns or were synonymous substitutions in the coding regions, with two exceptions. Exons 14 and 9 contained SNP that were predicted to alter the protein sequence by the substitution of isoleucine for valine in Domain III of the protein, and alanine for glycine in Domain II of the protein. The resource populations were genotyped for these two SNP in addition to six intronic polymorphisms and two silent substitutions. Analysis of genotypes and shear force values in both populations revealed a difference between paternal CAPN1 alleles in which the allele encoding isoleucine at position 530 and glycine at position 316 associated with decreased meat tenderness (increased shear force values) relative to the allele encoding valine at position 530 and alanine at position 316 (P < 0.05). The association of maternal alleles with meat tenderness phenotypes is consistent with the hypothesis of CAPN1 as the gene underlying the QTL effect in two independent resource populations and presents the possibility of using these markers for selective breeding to reduce the numbers of animals with unfavorable meat tenderness traits.

Alleles↗

Genetic modification of hearing in tubby mice: evidence for the existence of a major gene (moth1) which protects tubby mice from hearing loss.

Quantitative trait locus (QTL) analysis of genetic crosses has proven to be a useful tool for identifying loci associated with specific phenotypes and for dissecting genetic components of complex traits. Inclusion of a mutation that interacts epistatically with QTLs in genetic crosses is a unique and potentially powerful method of revealing the function of novel genes and pathways. Although we know that a mutation within the novel tub gene leads to obesity and cochlear and retinal degeneration, the biological function of the gene and the mechanism by which it induces its phenotypes are not known. In the current study, a QTL analysis for auditory brainstem response (ABR) thresholds, which indicates hearing ability, was performed in tubby mice from F(2)intercrosses between C57BL/6J- tub / tub and AKR/J-+/+ F(1)hybrids (AKR intercross) and between C57BL/6J- tub / tub and CAST/Ei.B6- tub / tub F(1)hybrids (CAST intercross). A major QTL, designated asmodifieroftubbyhearing1 ( moth1 ), was identified on chromosome 2 with a LOD score of 33.4 ( P < 10(-33)) in the AKR intercross (181 mice) and of 6.0 ( P < 10(-6)) in the CAST intercross (46 mice). This QTL is responsible for 57 and 43% of ABR threshold variance, respectively, in each strain combination. In addition, a C57BL/6J congenic line carrying a 129/Ola segment encompassing the described QTL region when made homozygous for tubby also exhibits normal hearing ability. We hypothesize that C57BL/6J carries a recessive mutation of the moth1 gene which interacts with the tub mutation to cause hearing loss in tub / tub mice. A moth1 allele from either AKR/J, CAST/Ei or 129/Ola is sufficient to protect C57BL/6J- tub / tub mice from hearing loss.

Adaptor Proteins, Signal Transducing↗

Gene-environment interactions in complex diseases: genetic models and methods for QTL mapping in multiple half-sib populations.

An interval quantitative trait locus (QTL) mapping method for complex polygenic diseases (as binary traits) showing QTL by environment interactions (QEI) was developed for outbred populations on a within-family basis. The main objectives, within the above context, were to investigate selection of genetic models and to compare liability or generalized interval mapping (GIM) and linear regression interval mapping (RIM) methods. Two different genetic models were used: one with main QTL and QEI effects (QEI model) and the other with only a main QTL effect (QTL model). Over 30 types of binary disease data as well as six types of continuous data were simulated and analysed by RIM and GIM. Using table values for significance testing, results show that RIM had an increased false detection rate (FDR) for testing interactions which was attributable to scale effects on the binary scale. GIM did not suffer from a high FDR for testing interactions. The use of empirical thresholds, which effectively means higher thresholds for RIM for testing interactions, could repair this increased FDR for RIM, but such empirical thresholds would have to be derived for each case because the amount of FDR depends on the incidence on the binary scale. RIM still suffered from higher biases (15-100% over- or under-estimation of true values) and high standard errors in QTL variance and location estimates than GIM for QEI models. Hence GIM is recommended for disease QTL mapping with QEI. In the presence of QEI, the model including QEI has more power (20-80% increase) to detect the QTL when the average QTL effect is small (in a situation where the model with a main QTL only is not too powerful). Top-down model selection is proposed in which a full test for QEI is conducted first and then the model is subsequently simplified. Methods and results will be applicable to human, plant and animal QTL mapping experiments.

Animals↗

Detection of quantitative trait loci for growth and fatness in pigs.

A quantitative trait locus (QTL) analysis of growth and fatness data from a three-generation experimental cross between Meishan (MS) and Large White (LW) pig breeds is presented. Six boars and 23 F1 sows, the progeny of six LW boars and six MS sows, produced 530 F2 males and 573 F2 females. Nine growth traits, i.e. body weight at birth and at 3, 10, 13, 17 and 22 weeks of age, average daily gain from birth to 3 weeks, from 3 to 10 weeks and from 10 to 22 weeks of age, as well as backfat thickness at 13, 17 and 22 weeks of age and at 40 and 60 kg live weight were analysed. Animals were typed for a total of 137 markers covering the entire porcine genome. Analyses were performed using two interval mapping methods: a line-cross (LC) regression method where founder lines were assumed to be fixed for different QTL alleles and a half-/full-sib (HFS) maximum likelihood method where allele substitution effects were estimated within each half-/full-sib family. Both methods revealed highly significant gene effects for growth on chromosomes 1, 4 and 7 and for backfat thickness on chromosomes 1, 4, 5, 7 and X, and significant gene effects on chromosome 6 for growth and backfat thickness. Suggestive QTLs were also revealed by both methods on chromosomes 2 and 3 for growth and 2 for backfat thickness. Significant gene effects were detected for growth on chromosomes 11, 13, 14, 16 and 18 and for backfat thickness on chromosome 8, 10, 13 and 14. LW alleles were associated with high growth rate and low backfat thickness, except for those of chromosome 7 and to a lesser extent early-growth alleles on chromosomes 1 and 2 and backfat thickness alleles on chromosome 6.

Adipose Tissue↗

Alcohol preference in AXB/BXA recombinant inbred mice: gender differences and gender-specific quantitative trait loci.

The purpose of the present study was to characterize the C57BL/6J, A/J, and AXB/BXA Recombinant Inbred (RI) strains of mice for voluntary alcohol consumption. Quantitative Trait Locus (QTL) analysis was used to provide provisional location of QTLs for alcohol consumption. The inbred strains were screened for levels of alcohol intake (calculated as alcohol preference and absolute alcohol consumption) by receiving 4 days of forced exposure to a 10% (wt/vol) solution of alcohol, followed by 3 weeks of free choice between water and 10% alcohol. A wide and continuous distribution of values for alcohol consumption and preference was obtained in the AXB/BXA RI strains, confirming polygenic influences on alcohol-related behaviors. Significant gender differences were found for both alcohol preference [F28,651 = 2.12, p < 0.001] and absolute alcohol consumption [F28,647 = 2.57, p < 0.001]. In males, putative QTLs were mapped to chromosomes (Chrs) 2, 5, 7, 10, 11, and 16. Multiple regression analysis indicated that approximately 75% of the genetic variance in alcohol preference in males could be accounted for by three of the QTL regions. Several of the putative QTLs appeared to be male-specific (Tyr on Chr 7; D10Mit126 on Chr 10; D11Mit61 on Chr 11). In females, seven putative QTLs were mapped to Chrs 2, 4, 5, 7, 11, 16, and 19. Approximately 90% of the genetic variance in alcohol preference in females could be accounted for by four QTL regions, as determined by multiple regression. The QTL on Chr 11 near D11Mit35 appeared to be female-specific. This site was close to a female-specific QTL (Alcp2) previously mapped in C57BL/6J x DBA/2J backcrosses by Melo and coworkers (Nat Genet 13, 147, 1996). The QTLs mapped for alcohol preference in the present study must be considered suggestive at the present time, since only D2Mit74 met very strict statistical criteria for significance. However, the concordance across several studies for the loci on Chrs 2, 4, 7, 9, and 11 suggest that some common QTLs influencing alcohol preference have been identified. Confirmation of QTLs mapped in the present study is currently being conducted in a new series of recombinant congenic (RC) strains developed from reciprocal backcrosses between the A/J and C57BL/6J progenitors. The concomitant use of both RI and RC strains developed from the same progenitors should provide a powerful means of detecting, confirming, and mapping QTLs for alcohol-related traits.

Alcohol Drinking↗

Linkage of antisocial alcoholism to the serotonin 5-HT1B receptor gene in 2 populations.

BACKGROUND: In mice, quantitative trait locus studies and behavioral evaluation of animals deleted for 5-HT1B have implicated this serotonin autoreceptor in alcohol consumption and aggressive behavior. We therefore investigated whether the 5-HT1B gene (HTR1B) is linked to alcoholism with aggressive and impulsive behavior in the human, as represented by 2 psychiatric diagnoses: antisocial personality disorder and intermittent explosive disorder comorbid with alcoholism. METHODS: Linkage was first tested in 640 Finnish subjects, including 166 alcoholic criminal offenders, 261 relatives, and 213 healthy controls. This was followed by a study in a large multigenerational family derived from a Southwestern American Indian tribe (n=418) with a high rate of alcoholism. All subjects were psychiatrically interviewed, blind-rated for psychiatric diagnoses, and typed for a HTR1B G861C polymorphism and for a closely linked short-tandem repeat locus, D6S284. Linkage was evaluated in sib pairs, and by using an association approach in which pedigree randomization corrects for nonindependence of observations on related subjects. RESULTS: In Finnish sib pairs, antisocial alcoholism showed significant evidence of linkage to HTR1B G861C (P=.04) and weak evidence with D6S284 (P=.06). By association analysis, the 183 Finnish antisocial alcoholics had a significantly higher HTR1B-861C allele frequency than the other 457 Finns we studied (P=.005). In the Southwestern American Indian tribe, significant sib pair linkage of antisocial alcoholism to HTR1B G861C (P=.01) was again observed, and there was also significant linkage to D6S284 (P=.01). CONCLUSION: These results suggest that a locus predisposing to antisocial alcoholism may be linked to HTR1B at 6q13-15.

Adolescent↗

A functional neuropeptide Y Leu7Pro polymorphism associated with alcohol dependence in a large population sample from the United States.

BACKGROUND: Quantitative trait locus studies, and observations in animals manipulated for the neuropeptide Y (NPY) gene suggest that variation within this gene may contribute to alcoholism. A recent population study suggested that the Pro7 allele of a functional NPY polymorphism (Leu7Pro) may be associated with increased alcohol consumption. We tested whether the Pro7 allele is associated with alcohol dependence in European Americans (EA). METHODS: The design was a population study comparing the Leu7Pro allele frequencies in alcohol-dependent subjects and controls. Population stratification potential and diagnostic specificity was studied by genotyping individuals from additional populations and psychiatric diagnostic classes. We studied 2 independently collected samples of EA alcohol-dependent subjects (sample 1, n = 307; sample 2, n = 160) and a sample of psychiatrically screened EA controls (n = 202); 8 population samples, including African Americans and European Americans (total n = 551); and 4 samples of individuals with Alzheimer disease, schizophrenia, posttraumatic stress disorder, and major depression (total n = 502). The main outcome measure was the difference in Leu7Pro allele frequencies between alcohol-dependent subjects and controls. RESULTS: The frequency of the Pro7 allele was higher in the alcohol-dependent subjects (sample 1, 5.5%; sample 2, 5.0%) compared with the screened EA controls (2.0%) (sample 1 vs controls, P=.006; sample 2 vs controls, P=.03). The attributable fraction (excess morbidity) in similarly affected populations, owing to the Pro7 allele, was estimated to be 7.3%. The frequency of the Pro7 allele was equal or lower in the population samples, as compared with the screened EA controls (0%-2.2%), with 1 exception (Bedouins). We found no significant evidence that the association of the Pro7 allele with alcohol dependence was due to an association with a comorbid psychiatric disorder. CONCLUSIONS: These results suggest that the NPY Pro7 allele is a risk factor for alcohol dependence. This is only the second specific genetic mechanism ever identified that modulates risk for alcohol dependence.

Alcohol Drinking↗

Identification of intervals on chromosomes 1, 3, and 13 linked to the development of lupus in BXSB mice.

OBJECTIVE: To identify intervals containing systemic lupus erythematosus (SLE) susceptibility alleles in the BXSB strain of mice. METHODS: We analyzed 286 (B10 x [B10 x BXSB]F1) backcross mice for a range of phenotypic traits associated with the development of SLE in BXSB mice. The mice were genotyped using 93 microsatellite markers, and the linkage of these markers to disease was studied by extreme-phenotype and quantitative trait locus analysis. RESULTS: The disease phenotype in these backcross mice was less severe than that in BXSB mice. However, antinuclear antibody production was increased compared with the parental strain. We identified 4 areas of genetic linkage to disease on chromosome 1 (Bxs1-4), 1 on chromosome 3 (Bxs5), and another interval on chromosome 13 which were associated with various aspects of the phenotype. Bxs4 and Bxs5 are located in regions not previously linked to disease in other models of SLE. CONCLUSION: SLE in the BXSB mouse model has a complex genetic basis and involves at least 5 distinct intervals located on chromosomes 1 and 3. There is evidence that different intervals affect particular aspects of the SLE phenotype.

Alleles↗

Genetic studies in alcohol research.

The National Institute on Alcohol Abuse and Alcoholism (NIAAA) supports research to elucidate the specific genetic factors, now largely unknown, which underlie susceptibility to alcoholism and its medical complications (including fetal alcohol syndrome). Because of the genetic complexity and heterogeneity of alcoholism, identification of the multiple underlying factors will require the development of new study designs and methods of analysis of data from human families. While techniques of genetic analysis of animal behavioral traits (e.g., targeted gene disruption, quantitative trait locus (QTL) mapping) are more powerful than those applicable to humans (e.g., linkage and allelic association studies), the validation of animal behaviors as models of aspects of human alcoholism has been problematic. Newly developed methods for mapping QTL influencing animal behavioral traits can not only permit analyses of human family data to be directly informed by the results of animal studies, but can also serve as a novel means of validating animal models of aspects of alcoholism.

Alcoholism↗

Two-level Haseman-Elston regression for general pedigree data analysis.

The Haseman-Elston (HE) (Haseman and Elston [1972] Behav Genet 2:3-19) method is widely used in genetic linkage studies for quantitative traits. We propose a new version of the HE regression model, a two-level HE regression model (tHE) in which the variance-covariance structure of family data is modeled under the framework of multiple-level regression. An iterative generalized least squares (IGLS) algorithm is adopted to handle the varying variance-covariance structures across families in a simple fashion. In this way, the tHE can compete favorably with any current version of HE in that it can naturally make use of all the trait information available in any general pedigree, simultaneously incorporate individual-level and pedigree-level covariates, marker genotypes for linkage (i.e., the number of allele shared identically by descent [IBD]), and marker alleles for association. Under the assumption of normality, the method is asymptotically equivalent to the usual variance component model for detecting linkage. For the situation where the assumption of normality is critical, a robust globally consistent estimator of the quantitative trait locus (QTL) variance is available. Complex genetic mechanisms, including gene-gene interaction, gene-environmental interaction, and imprinting, can be directly modeled in this version of HE regression.

Genetic Diseases, Inborn↗

Genome-wide linkage analysis of blood pressure in Mexican Americans.

The genetic mechanisms that control variation in blood pressure level are largely unknown. One of the first steps in understanding those mechanisms is the localization of the genes that have a significant effect on blood pressure. We performed genome scans of systolic (SBP) and diastolic blood pressure (DBP) on a population-based sample of families in the San Antonio Family Heart Study. A likelihood-based Mendelian model incorporating genotype-specific effects of sex, age, age(2), BMI, and blood pressure (SBP or DBP, as appropriate) as covariates was used to perform two-point lodscore (Z) linkage on 399 polymorphic markers. Results showed that the genotype-specific covariate effects were highly significant for both SBP and DBP. Linkage results showed that a quantitative trait locus (QTL) influencing DBP was significantly linked to D2S1790 (Z = 3.92, theta = 0.00) and showed suggestive linkage to D8S373 (Z = 1.92, theta = 0.00). A QTL influencing SBP showed suggestive linkage to D21S1440 (Z = 2.82, theta = 0.00) and D18S844 (Z = 2.09, theta = 0.11). Without the genotype-specific effects in the model, the linkage to D2S1790 was not even suggestive (Z = 1.33, theta = 0.09); thus genotype-specific modeling was crucial in detecting this linkage. A comparison with linkage studies based in other populations showed that the significant linkage to D2S1790 has been replicated at the same marker in the Quebec Family Study. The replicated significant linkage at D2S1790 may begin to establish the locations of the genes that significantly affect blood pressure across several human ethnic groups.

Adult↗

Cloning and characterization of the murine toll-like receptor 5 (Tlr5) gene: sequence and mRNA expression studies in Salmonella-susceptible MOLF/Ei mice.

Toll-like receptors (TLRs) are a group of evolutionarily conserved pattern recognition receptors involved in the activation of the immune system in response to various pathogens. In this paper, we describe the cloning and characterization of the mouse homologue of human TLR5. Mouse Tlr5 encodes a 859-amino-acid protein that contains an N-terminal signal sequence, a leucine-rich repeat extracellular domain, a short transmembrane domain typical of type I transmembrane proteins, and a Toll/interleukin-1R signaling domain characteristic of all TLR proteins. The mouse Tlr5 protein shows 81% homology to human TLR5 and approximately 40% similarity to other TLR family members. Northern blot analysis reveals that Tlr5 is expressed predominantly in liver and lung with low-level expression in most other tissues examined. We have mapped Tlr5 to distal chromosome 1 using the (C57BL/6J x Mus spretus) x C57BL/6J Jackson BSB panel as well as a (C57BL/6J x MOLF/Ei)F(2) panel with the following position: D1Mit112-8.0 cM-Tlr5-9.6 cM-D1Mit17. The presence of a quantitative trait locus for susceptibility to Salmonella typhimurium on distal chromosome 1 prompted the examination of Tlr5 in susceptible MOLF/Ei mice. Polymorphic sequence variants in Tlr5 allowed us to identify a unique 4-allele haplotype in MOLF/Ei. Furthermore, using both Northern blot analysis and reverse transcription-polymerase chain reaction, we have shown a reduced expression of Tlr5 during infection of MOLF/Ei mice with Salmonella. The assignment of Tlr5 to a chromosomal region known to harbor a Salmonella-susceptibility locus together with decreased expression of Tlr5 mRNA in liver of susceptible MOLF/Ei mice suggests the possibility that, as with other members of this family, Tlr5 may play a role in host response to bacterial gram-negative infections.

Amino Acid Sequence↗

P300 event-related potential amplitude as an endophenotype of alcoholism--evidence from the collaborative study on the genetics of alcoholism.

There is substantial information supporting the role of genetic factors in the susceptibility for alcohol dependence. However, the identification of specific genes that contribute to this predisposition has proven elusive, although several theoretically relevant candidates, e.g. DRD2 or 5-HT(1B), have been considered. The difficulty in identifying specific genes may be related to the clinical heterogeneity of the disorder resulting in a poorly defined phenotype for genetic analysis. An alternative approach to the use of a diagnostic phenotype for identifying alcoholism susceptibility genes may lie in the examination of the neurobiological correlates of the disorder, the so-called endophenotypes. One possible endophenotype of alcohol dependence may be related to the P300 waveform of the event-related brain potential (ERP). Using data obtained from the Collaborative Study on the Genetics of Alcoholism (COGA), a multi-site family-based study, the utility of P300 amplitude as an endophentype was examined. Differences in P300 amplitude were found between alcoholics and nonalcoholics, between unaffected relatives of alcoholics and relatives of controls, as well as between unaffected offspring of alcoholic fathers and offspring of controls. A genetic analysis indicated that attributes of the P(3) ERP waveform are heritable, and a quantitative trait locus analysis found linkage to several chromosomal regions. These data provide significant support for P300 as an endophenotype for alcohol dependence.

Alcoholism↗

Quantitative trait loci (QTL) for circadian rhythms of locomotor activity in mice.

The locomotor activity of male mice (Mus musculus) was monitored by infrared photo-electric beams under three lighting regimens: LD (12 h of light and 12 h of dark), DD (constant dark), and LL (constant broad-spectrum light, 10 lux). Circadian period of locomotor activity (tau) was compared among 3 inbred strains of mice, C57BL/6J (B6), BALB/c (C), and DBA/2J (D2), and 26 recombinant inbred strains B x D (B6 x D2). The tau under both continuous low-intensity light and continuous darkness varied significantly among strains. Under DD the mean tau was 23.8 h for B6, 23.7 h for D2, and 23.6 h for C. Under LL the mean tau was 25.1 h for B6, 23.9 h for D2, and 25.5 h for C. Frequency histograms of the mean tau of 26 B x D RI mouse strains (three to seven animals per strain) in either DD or LL and the difference between them, delta tau, had distributions which appeared unimodal, suggesting polygenic inheritances. The narrow-sense heritability determined using 26 strains of B x D RI mice was about 55% for tau and about 38% for both tau in LL and delta tau. An estimated four loci contribute to the variance of tau in constant darkness and five to the variance of tau in constant low-intensity light among the strains studied. Quantitative trait locus (QTL) analysis identified several potential genetic loci associated with tau in constant darkness, tau in constant low-intensity light, and delta tau. The associations of highest probability for each of these traits were the D1Nds4 locus (p < .001) on mouse chromosome 1, the D5Ncvs52 locus (p < .05) on mouse chromosome 5, and the Pmv12 locus (p < .01) at 70 cM on mouse chromosome 5, respectively. A QTL identified for tau was associated (p < .05) with the D2NDS1 marker at 45 cM on chromosome 2 near the Ea 6 marker at 46 cM associated (p < .05) with that reported for the period of wheel running activity in seven C x B RI strains (Schwartz, W.J., and Zimmerman, P., J. Neurosci. 10:3685 1990).

Animals↗

Hypothetical quantitative trait loci (QTL) for circadian period of locomotor activity in CXB recombinant inbred strains of mice.

The locomotor activity of male mice (Mus musculus) of 13 CXB (BALB/cBy x C57BL/6J) recombinant inbred (RI) strains and their progenitor strains was monitored for 4 to 6 weeks by infrared photoelectric beams under constant dark. The circadian period (tau) of locomotor activity was calculated and used in quantitative trait locus (QTL) analysis of strains' means. Results were compared with potential QTL found in a previous study of the BXD RI series. The mean tau of 13 CXB RI mouse strains (three to six animals per strain) in constant dark had a unimodal distribution suggesting polygenic inheritance. A number of potential QTL were found for this trait. There were two associations at p < .001. H23 on chromosome 3 and Pmv16 on chromosome 16. A region of chromosome 1 was associated with tau in both CXB and BXD RI series. There was also a conjunction with a locus determined from QTL analysis of the previously reported tau of wheel running activity in seven CXB RI strains (Schwartz and Zimmerman, 1990).

Animals↗

Using multivariate genetic modeling to detect pleiotropic quantitative trait loci.

Large numbers of sibling pairs or other relatives are needed to detect linkage between a quantitative trait locus (QTL) and a marker, especially if the variance of the QTL is low relative to the total phenotypic variance of the trait. One strategy to increase the power to detect linkage is to reduce the environmental variance in the trait under analysis. This approach was explored by carrying out a series of simulation studies in which multivariate observations were used to estimate individual genotypic values at a QTL, that pleiotropically affected more than one trait. Simulations for different QTL allele frequencies with a completely informative marker showed that the power to detect the QTL increased substantially when estimates of individual genotypic values at the QTL were used in the linkage analysis instead of phenotypic observations. An advantage of this approach is that, rather than employing phenotypic selection, individuals with extreme genotypes may selected when ascertaining a sample of extreme families.

Adult↗

Genetic regulation of gene-specific mRNA by ethanol in vivo and its possible role in ethanol preference in a cross with RI lines in mice.

Relative ethanol preference is a well-recognized phenotype in a number of species, including mice, but the molecular basis for this phenotype remains speculative. We generated novel recombinant inbred (RI) mouse lines from C57BL/6J (ethanol preferring) and BALB/c (ethanol avoiding) strains and evaluated the effect of ethanol feeding on the mRNA levels of three genes (Adh-1, Ahd-2, and Cas-1) of alcohol metabolism. Ethanol feeding affects the mRNA levels of all three genes in both a gene- and a genotype-specific manner. The effect of ethanol feeding on Ahd-2 mRNA, in particular, is highly correlated with the relative ethanol acceptance of the genotypes. DNA sequencing of approximately 500 bp of the 5' upstream region of the Ahd-2 gene has yielded identical sequence for the two strains and the genetically determined associated factors are hypothesized to be regulatory proteins. Quantitative trait locus analysis on the RI lines should lead to the molecular characterization and mapping of such gene-specific regulatory factors.

Alcohol Dehydrogenase↗