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The Journal of Immunology, 1998, 161: 1860-1867.
Copyright © 1998 by The American Association of Immunologists

New Genetic Loci That Control Susceptibility and Symptoms of Experimental Allergic Encephalomyelitis in Inbred Mice1

Russell J. Butterfield*, Jayce D. Sudweeks{dagger}, Elizabeth P. Blankenhorn{ddagger}, Robert Korngold§, Joseph C. Marini§, John A. Todd, Randall J. Roper* and Cory Teuscher2,*

* Department of Veterinary Pathobiology, University of Illinois, Urbana, IL 61802; {dagger} Department of Microbiology, Brigham Young University, Provo, UT 84602; {ddagger} Department of Microbiology and Immunology, Allegheny University of the Health Sciences, Philadelphia, PA 19102; § Department of Microbiology and Immunology, Thomas Jefferson University, Philadelphia, PA 19107; and The Wellcome Trust Center for Human Genetics, Nuffield Department of Surgery, University of Oxford, Oxford, United Kingdom OX3 7BN


    Abstract
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Experimental allergic encephalomyelitis (EAE), the principal animal model of multiple sclerosis, is a genetically determined phenotype. In this study, analyses of the cumulative disease frequencies in parental, F1 hybrid, and F2 mice, derived from the EAE-susceptible SJL/J strain and the EAE-resistant B10.S/DvTe strain, confirmed that susceptibility to EAE is not inherited as a simple Mendelian trait. Whole genome scanning, using 150 informative microsatellite markers and a panel of 291 affected and 390 unaffected F2 progeny, revealed significant linkage of EAE susceptibility to marker loci on chromosomes 7 (eae4) and 17, distal to H2 (eae5). Quantitative trait loci for EAE severity, duration, and onset were identified on chromosomes 11 (eae6, and eae7), 2 (eae8), 9 (eae9), and 3 (eae10). While each locus reported in this study is important in susceptibility or disease course, interactions between marker loci were not statistically significant in models of genetic control. One locus, eae7, colocalizes to the same region of chromosome 11 as Orch3 and Idd4, susceptibility loci in autoimmune orchitis and insulin-dependent diabetes mellitus, respectively. Importantly, eae5 and eae7 are syntenic with human chromosomes 6p21 and 17q22, respectively, two regions of potential significance recently identified in human multiple sclerosis genome scans.


    Introduction
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Multiple sclerosis (MS)3 is the major inflammatory disease of the human central nervous system (CNS), affecting 0.1% of the North American population. Recent epidemiologic studies suggest that the clustering of MS in families has a genetic basis, with little discernible contribution from environmental factors (1). Experimental allergic encephalomyelitis (EAE), the primary animal model of MS, is also a genetically determined inflammatory autoimmune disease of the CNS. EAE can be actively induced in susceptible strains of mice by immunization with either whole spinal cord homogenate (SCH) or encephalitogenic proteins or peptides in adjuvants. CD4+ T cells initiate disease by infiltrating the CNS and subsequently recruiting additional lymphocytes and mononuclear cells to cross the blood-brain barrier, resulting in inflammation and demyelination (2, 3). Disease can be transferred to healthy mice by the injection of T cells that recognize myelin-associated proteins in a MHC-restricted fashion (2, 3).

Analyses of the genetic control of susceptibility and resistance to EAE using inbred strains of mice have implicated both H2 and non-H2 genes (4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16). The genetic complexity of the disease is further supported by the fact that susceptibility can be inherited as either a dominant or a recessive phenotype depending on the parental strain combination used to generate the F1 hybrid population (10). In the present study, whole genome scanning (17) was used to map the loci governing susceptibility to murine EAE in an F2 population derived from the EAE-susceptible SJL/J and EAE-resistant B10.S/DvTe strains (18, 19). To date, this is the single largest segregating population studied for an experimental model of organ-specific autoimmune disease. The parental strains used to generate this cross are particularly insightful, since SJL/J is the prototypic EAE-susceptible strain, and both SJL/J and B10.S/DvTe have the H2s haplotype (20). Thus, H2-encoded genes should not segregate with disease susceptibility in this cross. However, we report that marker loci linked but distal to H2 on chromosome 17 exhibit significant linkage to EAE susceptibility syntenic with the region identified in human MS genome scans (21). We have designated this locus eae5. Evidence for the existence of this new EAE-modifying locus and QTL controlling the symptoms of EAE is presented.


    Materials and Methods
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Animals

Male and female SJL/J mice were purchased from The Jackson Laboratory (Bar Harbor, ME). B10.S/DvTe mice were generated from breeding stock originally obtained from Dr. Chella David of the Mayo Clinic (Rochester, MN). (SJL/J x B10.S/DvTe)F1 hybrids and (SJL/J x B10.S/DvTe) x (SJL/J x B10.S/DvTe)F2 progeny were produced in the animal colony at Brigham Young University (Provo, UT). The F2 animals were generated continuously over a 12-mo period using the same pool of F1 hybrid breeding stock. Inoculations of groups of mice ranging in age from 6 to 19 wk were staggered over the same time. Animals were fed Purina mouse pellets (Ralston-Purina, St. Louis, MO) and acidified water ad libitum.

Induction and evaluation of EAE

Induction of EAE was conducted as previously described (18). Briefly, 1.0 mg of SJL/J SCH, diluted in 0.15 ml of PBS, was emulsified with an equal volume of CFA and injected s.c. at two sites on the posterior flank (0.15 ml/injection site). A booster inoculation of SJL/J SCH and CFA, prepared in the same manner as the primary inoculum, was given on day 7. Mice were anesthetized with either halothane or ethyl ether before the injections. Starting on day 10, mice were monitored for clinical signs and graded from 0 to 4 as follows: 0, no clinical expression of disease; 1, floppy tail without hind limb weakness; 2, hind limb weakness with or without flaccid tail; 3, hind leg paralysis and floppy tail; and 4, hind leg paralysis accompanied by a floppy tail and urinary or fecal incontinence (22). Animals that progressed to a clinical score of 4 were euthanized. Mice that showed no clinical disease by day 30 were euthanized, and liver tissue was collected for isolation of DNA. Animals exhibiting clinical disease any time between days 10 and 30 were monitored for an additional 30 days and euthanized on day 60. Genomic DNA was isolated from liver tissue as previously described (23).

Mice were included in this study regardless of the type of EAE that they displayed, and thus, mice with or without relapsing-remitting EAE are in our study group. No stratification of the animals was performed for purposes of statistical analysis. The incidence of EAE was recorded as positive for any mouse with clinical signs of EAE for 1 or more days. Susceptibility was analyzed as a quantitative trait, using a disease index generated by averaging the clinical scores for each animal over the course of the experiment. Severity of disease among affected animals was analyzed using a severity index generated by averaging the clinical scores for each animal over the number of days that it exhibited clinical symptoms. Severity was assessed only in affected animals. Duration was calculated as the number of days an animal displayed a clinical score >=1, and onset was the day clinical signs were first observed.

Genotyping

Microsatellite primers were either purchased from Research Genetics (Huntsville, AL) or synthesized according to sequences obtained through the Whitehead Institute/Massachusetts Institute of Technology mouse genome database (www.genome.wi.mit.edu/cgi-bin/mouse/index). PCR parameters for microsatellite typing were previously described (23, 24, 25, 26). Microsatellite size variants were resolved by electrophoresis on large format denaturing polyacrylamide gels and visualized by autoradiography on Kodak film (Eastman Kodak, Rochester, NY).

Nucleic acid sequencing

Total RNA was isolated from adult liver of SJL/J and B10.S/DvTe mice using TRIzol reagent (Life Technologies, Grand Island, NY) 3 days after injection with SCH and CFA as detailed above. RT-PCR was performed to obtain IA{alpha} and IAß cDNA. Briefly, the first-strand cDNA was synthesized by reverse transcription of 1.0 µg of total RNA primed with poly(dT16) oligonucleotide and Superscript II reverse transcriptase (Life Technologies). cDNAs for IA{alpha} and IAß were PCR amplified using Taq polymerase and specific primer pairs flanking the mRNA-coding regions of each locus. The amplified fragments were TA cloned into pCR 2.1-TOPO vector (Invitrogen, San Diego, CA) and screened by PCR. Insert-positive plasmid DNAs were sequenced using vector primers and the ABI PRIZM Dye Terminator Reading Reaction Cycle Sequencing Kit on a model 373A automated DNA sequencer (Perkin-Elmer, Applied Biosystems Division, Foster City, CA). At least two duplicate clones for each PCR fragment were sequenced from both insert termini.

Genomic exons were sequenced for both IA{alpha} and IAß alleles by PCR amplification of the individual exons of each locus. Specific oligonucleotide primer pairs flanking each exon were designed, and the PCR-amplified fragments were cloned and sequenced as described above.

Qualitative and quantitative trait linkage analysis

Qualitative trait linkage analysis was performed using information derived from a genome scan of 150 polymorphic, autosomal microsatellite markers on 291 affected and 390 unaffected F2 mice. A {chi}2 test statistic for each marker locus was derived using 2 x 3 contingency tables to test for linkage to disease susceptibility. Linkage maps were generated using the Kosambi map function within the MAPMAKER/EXP computer package (27).

Quantitative trait linkage analysis was conducted by analysis of variance using disease index (susceptibility) and clinical parameters (severity of symptoms, duration of symptoms, and day of onset) as the dependent variables and microsatellite marker genotypes as independent variables as well as interval mapping using MAPMAKER/QTL under the assumptions of a free genetic model. The experimentwise critical value for declaration of significant linkage to QTL identified by interval mapping was p = 0.05 (28). Threshold values were generated using the permutation function of MapManager QT (mcbio.med.buffalo.edu/mapmgr.html) with 1000 permutations of our dataset for each respective phenotype. When significant linkage was observed in our study, a new disease-modifying locus was proposed (e.g., eae5); such designations are also given to loci that are newly confirmed by our results (e.g., eae8; see Discussion).

Interaction between marker loci

For each trait (disease index, severity of symptoms, and duration of symptoms), the score was regressed on the significant loci for the respective parameter. Since it had only one locus reaching significant levels, the day of onset was not included in this analysis. Models were analyzed in SAS using PROC GLM (29, 30). Linear regression was performed with and without two-locus interaction variables for each disease parameter. The significance of the interaction was assessed using an F statistic for the variance of the interaction variables.


    Results
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
General features of EAE in the F2 and parental generations

B10.S/DvTe, SJL/J, (B10.S/DvTe x SJL/J)F1 hybrid, and F2 intercross mice were studied for susceptibility to EAE (Table IGo). B10.S/DvTe mice are resistant (0 of 10; 0%), and SJL/J mice are highly susceptible (25 of 29; 86%) to the induction of EAE. In (B10.S/DvTe x SJL/J)F1 hybrids, neither susceptibility nor resistance, as reflected by disease frequency (8 of 15; 53%), was inherited as a fully penetrant dominant phenotype. Of 750 F2 progeny studied, 334 (45%) exhibited signs of EAE, and 416 (55%) did not. The mean day of onset in the F2 population (19 days) was significantly delayed compared with that in the susceptible SJL/J parental strain (15 days; p < 10-5), suggesting that segregating alleles affect the timing or progression of disease. The frequencies of EAE observed in the F2 population significantly deviated from normal Mendelian ratios for single, fully penetrant gene models (p < 10-5), a result that is consistent with previous reports concerning the genetic control of EAE in mice (31, 32, 33, 34).


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Table I. Frequency of EAE in SJL/J, B10.S/DvTe, (SJL/J x B10.S/DvTe)F1 hybrids and segregating populations1

 
To map the genes controlling susceptibility to EAE in the SJL/J-B10.S/DvTe F2 model, we constructed a genetic linkage map of the mouse genome using 681 mice (291 affected and 390 unaffected) and 150 informative autosomal microsatellite markers. This is the largest number of affected progeny analyzed to date in a whole genome scan for any murine autoimmune disease (35). In this map, mean intermarker recombination fractions ranged between 0.060 and 0.113 for different chromosomes, with a maximum intermarker distance between 13 and 25 cM.

Disease frequency maps to chromosomes 7 and 17

Of the 150 marker loci analyzed, the most significant linkage to susceptibility/disease index was seen with markers on chromosomes 7 and 17. Linkage on chromosome 7 showed the highest probability in the interval between markers D7 Mit85 through D7 Mit39 (Table IIGo). This independently confirms the linkage to this region reported in a prior mapping study using different inbred mouse strains (31), and the locus in this region is now designated eae4. The allele of eae4 associated with increased susceptibility and higher index score is derived from the B10.S parent and is inherited in a recessive fashion.


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Table II. Linkage of marker loci to EAE susceptibility and disease index

 
The linkage to EAE susceptibility on chromosome 17 is also significant. Markers that show linkage are found in an interval that includes D17 Mit105, D17 Mit176, and D17 Mit51 (Table IIGo). These markers reside near H2 and could indicate linkage to eae1, the H2-encoded class II locus known to influence EAE susceptibility (15). Linkage of an EAE-modifying gene to H2 was surprising because both parental strains possess the H2s haplotype (20). The identity of H2 between SJL/J and B10.S/DvTe mice was verified in two ways. First, 10 microsatellite markers encoded within H2 (D17 Mit13, D17 Mit21, D17 Mit214, D17 Mit231, D17 Mit31, D17 Mit32, D17 Mit33, D17 Mit34, D17Nds2, and D17Nds3) were tested for polymorphisms. None of these markers was polymorphic between the two strains. Secondly, IA{alpha} and IAß cDNA samples were cloned and sequenced from each parental strain as were the genomic exons. The IA molecule is the only class II molecule expressed in mice bearing the H2s haplotype, and thus any immune response effects due to differences between B10.S/DvTe and SJL/J H2 regions would be expected to map to this locus. No differences were found between B10.S/DvTe and SJL/J sequences for either IA{alpha} or IAß (826 bp covered for the {alpha}-chain cDNA, and 792 bp for the ß-chain cDNA). Similarly, no differences were found in the H2 exons of the genomic DNA from each parent. Collectively, our results suggest that the EAE susceptibility locus mapping in this region is probably not eae1, but a separate locus distal of H2. We have designated this locus eae5. The disease-associated allele of eae5 is derived from the SJL/J parent and the trait is codominant.

Identification of QTL-modifying clinical parameters of disease

QTL controlling the phenotypes of severity, duration, and day of onset of disease were detected by analysis of variance and interval mapping. Three severity QTL were revealed: two on chromosome 11 (eae6 and eae7) and one on chromosome 2 (eae8; Table IIIGo). Two of the three QTL, eae6 and eae8, have previously been associated with susceptibility to EAE (33, 34). In the present study, both chromosome 11 QTL independently achieved significance for severity of disease. Eae8 on chromosome 2 achieved only suggestive significance with this parameter, but it has been given an EAE-modifying locus designation by virtue of its replication with the previous study (33).


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Table III. Linkage of marker loci to severity of clinical symptoms

 
The two groups of markers on chromosome 11 are approximately 30 cM apart, further indicating that at least two different loci controlling the severity of EAE are located on this chromosome. These two disease-modifying loci flank another region of linkage reported in a previous study (31). All three severity QTL identified in this study derive their severity-associated alleles from the B10.S parent. Notably, neither susceptibility locus (eae4 or eae5), appears to play any role in severity of signs once disease is initiated. On the other hand, the severity locus eae6 also shows significant linkage to duration of clinical signs, as does eae7 (Table IVGo). Another QTL (eae9) with significant linkage to duration is found on chromosome 9, in the interval between D9 Mit22 and D9 Mit105. SJL-derived alleles at eae6 and eae7 determine shorter duration of illness, whereas this phenotype is seen in heterozygotes for eae9.


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Table IV. Linkage of marker loci to duration of clinical symptoms

 
Because disease onset was delayed in the F1 and F2 progeny overall, we hypothesized that loci influencing the day of onset of clinical signs may exist. Marker loci on chromosome 3 between D3 Mit14 and D3 Mit147 exhibited significant linkage to disease onset (eae10; Table VGo). The interval for eae10 is 25 cM distal to another EAE-modifying locus, eae3, previously reported by two groups to affect EAE susceptibility (32, 33). Therefore, eae10 and eae3 are probably distinct modifiers of EAE.


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Table V. Linkage of marker loci to onset of symptoms

 
Additionally, suggestive linkage to the various phenotypes of EAE was observed with marker loci on chromosomes 1, 4, 5, 8, 9, 10, 12, 16, 18, and 19. Because the linkages on these chromosomes do not attain the permutation-derived critical threshold values for declaration of significance, they were not reported in this study and await independent confirmation in a second cross.

Multiple linear regression analysis

Multiple linear regression was used to analyze the effects of marker loci on each specific disease phenotype. Significant marker loci for disease index (eae4 and eae5), severity (eae6, eae7, and eae8), and duration (eae6, eae7, and eae9) were analyzed as independent variables in multiple linear regression analyses, with the appropriate disease score as the dependent variable. To investigate possible interactions between significant marker loci for each disease parameter, two-locus interaction terms were added to the multiple linear regression models as independent variables. None of the interaction terms was significant (p > 0.05). Without these interaction variables, statistical significance was achieved for disease index (F = 6.77; p < 0.0001), severity (F = 5.51; p < 0.0001), and duration (F = 10.70; p < 0.0001), confirming the identification of these QTL.


    Discussion
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
EAE is the principal animal model of human MS. Because no cure exists for MS and because MS is known to have an underlying genetic component (1), considerable effort has been made to determine the genetic loci that predispose to demyelinating diseases (21). It is inherent in the design of such experiments that information derived from these efforts will be useful in designing new strategies to ameliorate disease symptoms or halt their progression. This is a difficult task in human populations, because of the genetic, geographic, and disease heterogeneities that characterize MS. The use of animal models aids this undertaking in two ways: multiple genetic analyses of mouse EAE have demonstrated that EAE is indeed under complex genetic control, and secondly, studies have been successful in identifying regions of the mouse genome that display evidence of linkage to the various parameters of EAE measured in this species. These chromosomal regions might contain genes that have direct homology to human genes involved in MS (36), or they might point instead to interacting pathways that are critical for disease to occur. The goal of such studies is to investigate disease candidate genes that are identified, isolated, and cloned by virtue of their physical location.

Linkage studies of any genetically complex disease, such as EAE, are subject to a demanding standard for analysis; the criteria set for evidence of significant linkage are stringent (28, 37), and repetition between studies is required for validation of any linkage found (33). Multiple chromosomal regions, including intervals on chromosomes 1 to 5, 7 to 12, 14, 16, and 17 to 19 have been implicated as containing disease-modifying genes. However, only those EAE-modifying loci that independently display statistically significant linkage or confirm a previous association are noted in this report (28). Ten genomic intervals were found that meet one or both criteria. For susceptibility to EAE these include marker loci on chromosomes 7 (eae4) and 17, distal to H2 (eae5). QTL for EAE severity, duration, and onset were identified on chromosomes 11 (eae6, and eae7), 2 (eae8), 9 (eae9), and 3 (eae10).

Locus eae4

Locus eae4 maps to a large interval of central chromosome 7 identical with that reported by Baker et al. (31). Replication of linkage in two independent experiments provides additional validation for the identity of a significant QTL in this interval. Susceptibility is associated with a recessive B10.S allele at eae4, since heterozygotes do not show increased incidence of EAE. It is interesting to note that eae4 does not contribute to severity of symptoms once disease is initiated. Characterization of eae4 may therefore help delineate the differences between susceptibility and disease-modifying loci and their respective roles in the pathogenesis of autoimmune disease (38).

Locus eae5

Locus eae5 is strongly linked to susceptibility to EAE owing to an SJL-derived allele at this locus. Locus eae5 is linked to H2, but is probably not a classical MHC-linked immune response gene for several reasons. First, B10.S and SJL/J mice have the same H2 haplotype (20). Secondly, the best map location for eae5 is slightly distal of H2. Nevertheless, it was still possible that SJL/J and B10.S/DvTe might differ at IA, the MHC class II molecule responsible for encephalitogenic peptide presentation in these strains. We therefore conducted a direct test of this possibility by sequencing the IA{alpha} and IAß alleles of both parental strains. Since the cDNA and exonic sequences were identical (data not shown) and neither parental strain expresses IE, structural differences in class II loci can be ruled out as being responsible for the phenotype of eae5. A weak association in this region of chromosome 17 was noted by Baker et al. (34). Taken together, these results place eae5 distal to H2, syntenic with the HLA-linked region (www.ncbi.nlm.nih.gov/) identified in a human MS mapping a study (21). This supports the existence of a non-HLA-encoded molecule that may account for some of the linkage of MS to HLA.

Other significant and suggestive linkages to the clinical disease parameters (severity, duration, and onset) of EAE were found in this study. QTL linked to severity of disease (eae6,eae7, and eae8) were not important in controlling the frequency/susceptibility of EAE but, rather, influenced the severity of the signs among affected animals. The chromosome 11 (eae6 and eae7) linkages reflect new localizations that are different from previously reported EAE susceptibility loci (31, 32, 33, 34) and encompass some intriguing candidate genes, including cytokines, chemokines, and other immunoregulatory loci (www.informatics.jax.org/mgd.html). In this regard, it is known that in SJL/J mice, EAE is a Th1-dependent disease, and the resistance of B10.S mice to the induction of EAE is secondary to an Ag-specific defect in the generation of Th1 cells that produce IFN-{gamma} (39). Exposing myelin basic protein-reactive T cells from B10.S mice to IL-12 restored both IFN-{gamma} production and encephalitogenic activity (39). It is worth noting that Il12b maps to proximal chromosome 11 (19 cM) (www.informatics.jax.org/mgd.html) in the region containing eae6 (1–28 cM from the centromere of chromosome 11). Interestingly, preliminary results in our F2 and bidirectional backcrosses (data not shown) suggest the possible existence of an additional QTL segregating in the central region of chromosome 11 between eae6 and eae7 (30–50 cM) near the lymphokine cluster and Tpm1, a locus that may regulate the development of Th1/Th2-type responses (40).

The region of chromosome 11 containing eae7 (45–60 cM distal to the centromere) also contains two other susceptibility loci involved in organ-specific autoimmune diseases. Idd4 (at 44 cM) is a susceptibility locus for insulin-dependent diabetes mellitus in the NOD mouse (17), and Orch3 (at 44.5 cM) is a susceptibility locus in autoimmune orchitis (25). Candidate genes in this region of chromosome 11 include those encoding the family of small cytokines, nitric oxide synthase-2 (Nos2, at 46 cM), and cyclic nucleotide phosphodiesterase 1 (Cnp1, at 60 cM), a candidate autoantigen in MS (41) (www.informatics.jax.org/mgd.html). Nos2 encodes the inducible nitric oxide synthase enzyme (NOS2), which is considered a good candidate in autoimmune disorders because nitric oxide is known to play a pathogenic role in inflammatory situations (42). Inhibition of the NOS2 enzyme or of nitric oxide and its byproducts, such as peroxynitrite, is successful in blocking or ameliorating disease symptoms in both diabetes and EAE (43).

A QTL controlling the severity of symptoms achieves suggestive linkage on the distal end of chromosome 2. Given the previous report that susceptibility maps to this region (33) using the same markers in the same strain combination, this QTL is now a confirmed EAE-modifying locus. A notable candidate gene in this region is CD40 (www.informatics.jax.org/mgd.html).

Marker loci on chromosome 9 were significantly linked to duration of symptoms (eae9, 28–34 cM). The general trend of shorter duration is due to a heterozygous effect of alleles at this QTL. This genomic interval contains CD3, Thy-1, and Igif (IFN-{gamma}-inducing factor), all located at 26 to 28 cM (www.informatics.jax.org/mgd.html). In addition, Idd2, a diabetes susceptibility locus, has been mapped to this region (44). Loci eae6 and eae7 also exert an effect on duration of EAE, with shorter duration contributed in a dominant fashion by the SJL/J allele at both QTL. Thus, the SJL/J-derived alleles at eae6 and eae7 are associated with shorter duration but lesser severity of clinical signs.

The earlier onset of disease seen in SJL/J mice compared with F1 hybrids (Table IGo) is linked to a locus on chromosome 3 (eae10). According to our model, this QTL should act only in a recessive manner, because F1 mice take longer to get sick, and in fact, in the F2, eae10 is recessive. The interval containing eae10, from 64 to 79 cM on chromosome 3, has few attractive candidate genes: egf (epidermal growth factor), Cfi (complement component factor i), nfkb1 (NF-{kappa} light chain gene enhancer), and Ptgfr (PGF receptor) located at 66 to 76 cM (www.informatics.jax.org/mgd.html).

Suggestive linkage to the various phenotypes of EAE was observed with marker loci on chromosomes 1, 4, 5, 8, 9, 10, 12, 16, 18, and 19. A notable QTL, exhibiting suggestive linkage with disease index (LOD = 3.17; significance cutoff = 3.26) resides in the interval between D16 Mit110 and D16 Mit50 (21–34 cM). F2 mice with an SJL-derived allele at this locus are much more likely to develop EAE. This QTL colocalizes with Aod1 (24 cM), the locus controlling susceptibility to day 3 thymectomy-induced autoimmune ovarian dysgenesis (24). Although our study is the only one that shows an effect from a QTL on chromosome 16 in EAE, our results, nevertheless, replicate linkage of susceptibility to organ-specific autoimmune disease in general to this region of chromosome 16 (35). These results suggest that Aod1 and the EAE susceptibility locus in this region may be the same gene. Two candidate genes mapping within the interval that could readily be involved in susceptibility to both autoimmune diseases are the costimulatory molecules CD80 (28 cM) and CD86 (26.9 cM) (www.informatics.jax.org/mgd.html). As the first step in testing this hypothesis directly, we are currently sequencing both alleles from the two parental strains used to map Aod1 (C57BL/6J and A/J) and SJL/J and B10.S/DvTe.

Similarities and differences exist between our results and those of Encinas et al., who conducted a linkage analysis of EAE susceptibility using a (B10.S x SJL/J) x B10.S backcross population and a markedly different induction protocol (33). In our study, whole SCH and CFA were used for inoculation, whereas in the Encinas study, an encephalitogenic peptide of proteolipid protein (amino acids 139–151) was used to induce EAE in conjunction with CFA and pertussis toxin. The use of SCH as immunogen has advantages over defined peptides because it does not require the use of pertussis toxin for disease induction (18), and it contains all the primary encephalitogens of the CNS. Other differences between the two studies are that with a BC1 population, the loci identified primarily govern dominant traits, whereas in our F2 cross we can, in theory, more easily detect recessive and interacting loci. Additionally, we found independently significant linkages for EAE that are unique to our F2 cross on chromosomes 9 and 11. A summary of all EAE-modifying loci that have either achieved significance or been confirmed by additional experiments to date is given in Table VIGo.


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Table VI. Summary of EAE-modifying loci

 
The frequency of EAE in the F2 population was significantly different from that expected for genetic control by either one or two fully penetrant, dominant loci (44). Therefore, epistasis or interaction between EAE susceptibility loci is probably responsible for the disease frequencies observed. Previous inferential haplotype analyses have suggested that putative EAE susceptibility loci may act in combination to cause EAE (31, 32, 33, 34). We have tested the hypothesis of locus interaction using linear regression models for disease phenotype QTL. None of the marker loci identified interacts with another of the same disease parameter. While interactions between EAE-modifying loci did not prove significant in our models, other epistatic factors may contribute to overall susceptibility (45).

Several groups have exploited homology mapping to investigate the genetics of MS susceptibility (46, 47, 48). For example, Kuokkanen et al. reported the mapping of a MS locus in the region of 5p14–5p12 (36). This locus was identified by scanning the human genome in regions syntenic to eae2, the EAE susceptibility gene previously mapped to murine chromosome 15 (Table VIGo) (32). Such observations support the use of genetic analysis of murine EAE in the identification of loci involved in MS. Several groups confirmed linkage at or near HLA located on chromosome 6p21 (21). Notably, Ebers et al. found linkage to D6S461, which lies just outside HLA in the region syntenic to mouse chromosome 17 encoding eae5 (48). We also note that eae7 is syntenic with human chromosome 17, which includes an MS susceptibility locus at 17q22 (46, 49). It is clear that a further dissection of mouse EAE-modifying loci will shed light on these syntenic relationships and on the issue of susceptibility loci for demyelinating disease in general.


    Acknowledgments
 
We thank Julie Teuscher for her expert technical and secretarial assistance, and B. B. Wardell N. D. Meeker, S. S. Estes, J. S. Griffith, M. J. Frodsham, N. V. Mincek, K. D. Livingstone, N. Lallatin, and J. K. Lunceford for helping with tissue collection, DNA isolation, and genotyping. We acknowledge Dr. Runlin Ma for his help in DNA sequencing.


    Footnotes
 
1 This work was supported by National Institutes of Health Grants HD21926 (to C.T.), HD27275 (to C.T.), NS33588 (to C.T.), AI40712 (to C.T.), NS25519 (to E.P.B.), and NS34928 (to R.K.); by National Multiple Sclerosis Society Grants PP0324 (to C.T.), RG2659 (to C.T.), and RG2120 (to E.P.B.); and by a Wellcome Trust Principal Research Fellowship (to J.A.T.). Back

2 Address correspondence and reprint requests to Dr. Cory Teuscher, Department of Veterinary Pathobiology, 2001 South Lincoln Ave., University of Illinois, Urbana, IL 61802. E-mail address: Back

3 Abbreviations used in this paper: MS, multiple sclerosis; CNS, central nervous system; EAE, experimental allergic encephalomyelitis; SCH, spinal cord homogenate; QTL, quantitative trait loci; LOD, logarithmic odds. Back

Received for publication January 13, 1997. Accepted for publication April 13, 1998.


    References
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 

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E. P. Blankenhorn, R. J. Butterfield, R. Rigby, L. Cort, D. Giambrone, P. McDermott, K. McEntee, N. Solowski, N. D. Meeker, J. F. Zachary, et al.
Genetic Analysis of the Influence of Pertussis Toxin on Experimental Allergic Encephalomyelitis Susceptibility: An Environmental Agent Can Override Genetic Checkpoints
J. Immunol., March 15, 2000; 164(6): 3420 - 3425.
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K. Bergsteinsdottir, H.-T. Yang, U. Pettersson, and R. Holmdahl
Evidence for Common Autoimmune Disease Genes Controlling Onset, Severity, and Chronicity Based on Experimental Models for Multiple Sclerosis and Rheumatoid Arthritis
J. Immunol., February 1, 2000; 164(3): 1564 - 1568.
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C. Teuscher, R. J. Butterfield, R. Z. Ma, J. F. Zachary, R. W. Doerge, and E. P. Blankenhorn
Sequence Polymorphisms in the Chemokines Scya1 (TCA-3), Scya2 (Monocyte Chemoattractant Protein (MCP)-1), and Scya12 (MCP-5) Are Candidates for eae7, a Locus Controlling Susceptibility to Monophasic Remitting/Nonrelapsing Experimental Allergic Encephalomyelitis
J. Immunol., August 15, 1999; 163(4): 2262 - 2266.
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J. T. Chang, E. M. Shevach, and B. M. Segal
Regulation of Interleukin (IL)-12 Receptor {beta}2 Subunit Expression by Endogenous IL-12: A Critical Step in the Differentiation of Pathogenic Autoreactive T Cells
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R. J. Butterfield, E. P. Blankenhorn, R. J. Roper, J. F. Zachary, R. W. Doerge, J. Sudweeks, J. Rose, and C. Teuscher
Genetic Analysis of Disease Subtypes and Sexual Dimorphisms in Mouse Experimental Allergic Encephalomyelitis (EAE): Relapsing/Remitting and Monophasic Remitting/Nonrelapsing EAE Are Immunogenetically Distinct
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J. J. Weis, B. A. McCracken, Y. Ma, D. Fairbairn, R. J. Roper, T. B. Morrison, J. H. Weis, J. F. Zachary, R. W. Doerge, and C. Teuscher
Identification of Quantitative Trait Loci Governing Arthritis Severity and Humoral Responses in the Murine Model of Lyme Disease
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Proc. Natl. Acad. Sci. USAHome page
A. A. Hurwitz, T. J. Sullivan, R. A. Sobel, and J. P. Allison
Cytotoxic T lymphocyte antigen-4 (CTLA-4) limits the expansion of encephalitogenic T cells in experimental autoimmune encephalomyelitis (EAE)-resistant BALB/c mice
PNAS, March 5, 2002; 99(5): 3013 - 3017.
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Genome ResHome page
I. A. Eaves, L. S. Wicker, G. Ghandour, P. A. Lyons, L. B. Peterson, J. A. Todd, and R. J. Glynne
Combining Mouse Congenic Strains and Microarray Gene Expression Analyses to Study a Complex Trait: The NOD Model of Type 1 Diabetes
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