992 resultados para Genetic map construction


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BACKGROUND Bacterial meningitis (BM) is an infectious disease that results in high mortality and morbidity. Despite efficacious antibiotic therapy, neurological sequelae are often observed in patients after disease. Currently, the main challenge in BM treatment is to develop adjuvant therapies that reduce the occurrence of sequelae. In recent papers published by our group, we described the associations between the single nucleotide polymorphisms (SNPs) AADAT +401C > T, APEX1 Asn148Glu, OGG1 Ser326Cys and PARP1 Val762Ala and BM. In this study, we analyzed the associations between the SNPs TNF -308G > A, TNF -857C > T, IL-8 -251A > T and BM and investigated gene-gene interactions, including the SNPs that we published previously. METHODS The study was conducted with 54 BM patients and 110 healthy volunteers (as the control group). The genotypes were investigated via primer-introduced restriction analysis-polymerase chain reaction (PIRA-PCR) or polymerase chain reaction-based restriction fragment length polymorphism (PCR-RFLP) analysis. Allelic and genotypic frequencies were also associated with cytokine and chemokine levels, as measured with the x-MAP method, and cell counts. We analyzed gene-gene interactions among SNPs using the generalized multifactor dimensionality reduction (GMDR) method. RESULTS We did not find significant association between the SNPs TNF -857C > T and IL-8 -251A > T and the disease. However, a higher frequency of the variant allele TNF -308A was observed in the control group, associated with changes in cytokine levels compared to individuals with wild type genotypes, suggesting a possible protective role. In addition, combined inter-gene interaction analysis indicated a significant association between certain genotypes and BM, mainly involving the alleles APEX1 148Glu, IL8 -251 T and AADAT +401 T. These genotypic combinations were shown to affect cyto/chemokine levels and cell counts in CSF samples from BM patients. CONCLUSIONS In conclusion, this study revealed a significant association between genetic variability and altered inflammatory responses, involving important pathways that are activated during BM. This knowledge may be useful for a better understanding of BM pathogenesis and the development of new therapeutic approaches.

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Nitrate reductase in Escherichia coli is a membrane-bound anaerobic enzyme that is repressed by oxygen and induced by nitrate. The genetic organization of the structural genes for the two larger subunits of nitrate reductase ((alpha) and (beta)) was determined by immunoprecipitation analysis of the formation of these proteins in nitrate reductase-deficient mutants resulting from transposon Tn5 mutagenesis. The results suggested that the genes encoding the (alpha) and (beta) subunits (narG and H) were arranged in an operon with transcription in the direction promoter(--->)(alpha)(--->)(beta). Segments of the chromosome containing the Tn5 inserts from several of the mutants were cloned into plasmid pBR322 and the positions of the transposons determined by restriction mapping. The Tn5 insertion sites were localized on two contiguous EcoRI fragments spanning about 6.6 kilobases of DNA. The narI gene (proposed to encode the (gamma) subunit) was positioned immediately downstream from the (beta)-gene (narH) by Southern analysis of Tn10 insertions into the narI locus. A Tn10 insertion into the narK locus, proposed to encode a nitrate-sensitive repressor of other anaerobic enzymes, was located about 1.5 kilobases upstream from the narGHI operon promoter. The narL locus, proposed to encode a nitrate-sensitive positive regulator of the narGHI operon and known to be genetically linked to the other nar genes, was demonstrated to lie outside a 19.3-kilobase region of the chromosome which encompasses the other nar genes. The physical limit of the narGHI promoter was defined by studying the effect of Tn5 insertions into a hybrid plasmid containing the functional operon. The points of origin of the coding regions for the (alpha) and (beta) genes were deduced by alignment of the chromosomal map of Tn5 insertion sites with the sizes of (alpha) and (beta) subunit fragments produced by plasmids carrying these Tn5 inserts in the nar operon. The coding region for the (alpha) subunit (143,000 daltons) begins about 250 nucleotides downstream from the deduced limit of the promoter region and includes about 4.0 kilobases of DNA; the region encoding (beta) (60,000 daltons) lies immediately downstream from the (alpha)-gene and is approximately 1.6 kilobases in length. The adjacent region encoding the (gamma) subunit (19,000 daltons) is approximately 0.5 kilobase in length. ^

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The Ssel/Hsp110 molecular chaperones are a poorly understood subgroup of the Hsp70 chaperone family. Hsp70 can refold denatured polypeptides via a carboxyl-terminal peptide binding domain (PBD), which is regulated by nucleotide cycling in an amino-terminal ATPase domain. However, unlike Hsp70, both Sse1 and mammalian Hsp110 bind unfolded peptide substrates but cannot refold them. To test the in vivo requirement for interdomain communication, SSE1 alleles carrying amino acid substitutions in the ATPase domain were assayed for their ability to complement sse1Δ phenotypes. Surprisingly, all mutants predicted to abolish ATP hydrolysis complemented the temperature sensitivity of sse1Δ, whereas mutations in predicted ATP binding residues were non-functional. Remarkably, the two domains of Ssel when expressed in trans functionally complement the sse1Δ growth phenotype and interact by coimmunoprecipitation analysis, indicative of a novel type of interdomain communication. ^ Relatively little is known regarding the interactions and cellular functions of Ssel. Through co-immunoprecipitation analysis, we found that Ssel forms heterodimeric complexes with the abundant cytosolic Hsp70s Ssa and Ssb in vivo. Furthermore, these complexes can be efficiently reconstituted in vitro using purified proteins. The ATPase domains of Ssel and the Hsp70s were found to be critical for interaction as inactivating point mutations severely reduced interaction efficiency. Ssel stimulated Ssal ATPase activity synergistically with the co-chaperone Ydj1 via a novel nucleotide exchange activity. Furthermore, FES1, another Ssa nucleotide exchange factor, can functionally substitute for SSE1/2 when overexpressed, suggesting that Hsp70 nucleotide exchange is the fundamental role of the Sse proteins in yeast, and by extension, the Hsp110 homologs in mammals. ^ Cells lacking SSE1 were found to accumulate prepro-α-factor, but not the cotranslationally imported protein Kar2, similar to mutants in the Ssa chaperones. This indicates that the interaction between Ssel and Ssa is functionally significant in vivo. In addition, sse10 cells are compromised for cell wall strength, likely a result of decreased Hsp90 chaperone activity with the cell integrity MAP kinase SIC. Taken together, this work established that the Hsp110 family must be considered an essential component of Hsp70 chaperone biology in the eukaryotic cell.^

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In order to better take advantage of the abundant results from large-scale genomic association studies, investigators are turning to a genetic risk score (GRS) method in order to combine the information from common modest-effect risk alleles into an efficient risk assessment statistic. The statistical properties of these GRSs are poorly understood. As a first step toward a better understanding of GRSs, a systematic analysis of recent investigations using a GRS was undertaken. GRS studies were searched in the areas of coronary heart disease (CHD), cancer, and other common diseases using bibliographic databases and by hand-searching reference lists and journals. Twenty-one independent case-control studies, cohort studies, and simulation studies (12 in CHD, 9 in other diseases) were identified. The underlying statistical assumptions of the GRS using the experience of the Framingham risk score were investigated. Improvements in the construction of a GRS guided by the concept of composite indicators are discussed. The GRS will be a promising risk assessment tool to improve prediction and diagnosis of common diseases.^

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La zanahoria es una planta bienal de estación fría que requiere de un período de vernalización para florecer. Sin embargo, algunos cultivares adaptados a zonas más cálidas requieren de menor vernalización y son clasificados como anuales o de floración temprana. El objetivo de esta tesis fue determinar la base genética e identificar los genes y/o regiones cromosómicas involucradas en los requerimientos de vernalización en la zanahoria. Para ello fueron evaluadas a campo familias segregantes F1, F2, F3, RC1 y RC2 obtenidas a partir de un cruzamiento entre una planta anual y una bienal. En base a los patrones de segregación observados se concluyó que la anualidad, o bajos requerimientos de vernalización, estaría determinada por un gen simple dominante. Al evaluar introducciones de zanahoria anuales y bienales de diversos orígenes geográficos y sus cruzamientos, se volvió a observar la total dominancia de la anualidad y se encontró variabilidad en el ciclo entre materiales anuales y entre materiales bienales. Utilizando un método molecular que se basa en similitud completa (BLAST), no se encontró en el genoma de la zanahoria secuencias homólogas al gen FLC, el cual juega un rol central en la respuesta a la vernalización en Arabidopsis y otras especies como las Brassicas. Mediante la técnica de mapeo se encontró una región cromosómica ligada a la respuesta a la vernalización en zanahoria. La misma se localizó en un grupo de ligamiento con 78 marcadores moleculares a una distancia de 0,69 cM y de 0,79 cM de los marcadores más cercanos. Este mapa servirá como base para el desarrollo de marcadores moleculares ligados al carácter y en un futuro para el mapeo físico y secuenciación de la región de interés utilizando una librería génica de BACs de zanahoria.

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El trabajo explora, desde los aportes de la crítica genética y literaria, la construcción del espacio poético y sus espacios creativos de escritura. Para ello se cuenta con manuscritos del poeta argentino Arturo Carrera, pertenecientes a su segunda obra édita, Momento de simetría [1973]. Partiendo de una referencia astronómica existente en el poemario se revisa lo dicho por la crítica literaria argentina sobre la obra del autor así como también la posibilidad de leer el mapa poético y sus manuscritos como imágenes estéticas en suspensión. Por este motivo, el trabajo cuenta además con un Anexo (en CD) con las imágenes digitales del Archivo Momento de simetría y sus correspondientes transcripciones, a fin de que el lector pueda ir y venir del texto a las imágenes -y viceversa- y construir dicho recorrido

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El trabajo explora, desde los aportes de la crítica genética y literaria, la construcción del espacio poético y sus espacios creativos de escritura. Para ello se cuenta con manuscritos del poeta argentino Arturo Carrera, pertenecientes a su segunda obra édita, Momento de simetría [1973]. Partiendo de una referencia astronómica existente en el poemario se revisa lo dicho por la crítica literaria argentina sobre la obra del autor así como también la posibilidad de leer el mapa poético y sus manuscritos como imágenes estéticas en suspensión. Por este motivo, el trabajo cuenta además con un Anexo (en CD) con las imágenes digitales del Archivo Momento de simetría y sus correspondientes transcripciones, a fin de que el lector pueda ir y venir del texto a las imágenes -y viceversa- y construir dicho recorrido

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El trabajo explora, desde los aportes de la crítica genética y literaria, la construcción del espacio poético y sus espacios creativos de escritura. Para ello se cuenta con manuscritos del poeta argentino Arturo Carrera, pertenecientes a su segunda obra édita, Momento de simetría [1973]. Partiendo de una referencia astronómica existente en el poemario se revisa lo dicho por la crítica literaria argentina sobre la obra del autor así como también la posibilidad de leer el mapa poético y sus manuscritos como imágenes estéticas en suspensión. Por este motivo, el trabajo cuenta además con un Anexo (en CD) con las imágenes digitales del Archivo Momento de simetría y sus correspondientes transcripciones, a fin de que el lector pueda ir y venir del texto a las imágenes -y viceversa- y construir dicho recorrido

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This paper proposes the EvoBANE system. EvoBANE automatically generates Bayesian networks for solving special-purpose problems. EvoBANE evolves a population of individuals that codify Bayesian networks until it finds near optimal individual that solves a given classification problem. EvoBANE has the flexibility to modify the constraints that condition the solution search space, self-adapting to the specifications of the problem to be solved. The system extends the GGEAS architecture. GGEAS is a general-purpose grammar-guided evolutionary automatic system, whose modular structure favors its application to the automatic construction of intelligent systems. EvoBANE has been applied to two classification benchmark datasets belonging to different application domains, and statistically compared with a genetic algorithm performing the same tasks. Results show that the proposed system performed better, as it manages different complexity constraints in order to find the simplest solution that best solves every problem.

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Background The turbot (Scophthalmus maximus) is a highly appreciated European aquaculture species. Growth related traits constitute the main goal of the ongoing genetic breeding programs of this species. The recent construction of a consensus linkage map in this species has allowed the selection of a panel of 100 homogeneously distributed markers covering the 26 linkage groups (LG) suitable for QTL search. In this study we addressed the detection of QTL with effect on body weight, length and Fulton's condition factor. Results Eight families from two genetic breeding programs comprising 814 individuals were used to search for growth related QTL using the panel of microsatellites available for QTL screening. Two different approaches, maximum likelihood and regression interval mapping, were used in order to search for QTL. Up to eleven significant QTL were detected with both methods in at least one family: four for weight on LGs 5, 14, 15 and 16; five for length on LGs 5, 6, 12, 14 and 15; and two for Fulton's condition factor on LGs 3 and 16. In these LGs an association analysis was performed to ascertain the microsatellite marker with the highest apparent effect on the trait, in order to test the possibility of using them for marker assisted selection. Conclusions The use of regression interval mapping and maximum likelihood methods for QTL detection provided consistent results in many cases, although the high variation observed for traits mean among families made it difficult to evaluate QTL effects. Finer mapping of detected QTL, looking for tightly linked markers to the causative mutation, and comparative genomics are suggested to deepen in the analysis of QTL in turbot so they can be applied in marker assisted selection programs.

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Introduction and motivation: A wide variety of organisms have developed in-ternal biomolecular clocks in order to adapt to cyclic changes of the environment. Clock operation involves genetic networks. These genetic networks have to be mod¬eled in order to understand the underlying mechanism of oscillations and to design new synthetic cellular clocks. This doctoral thesis has resulted in two contributions to the fields of genetic clocks and systems and synthetic biology, generally. The first contribution is a new genetic circuit model that exhibits an oscillatory behav¬ior through catalytic RNA molecules. The second and major contribution is a new genetic circuit model demonstrating that a repressor molecule acting on the positive feedback of a self-activating gene produces reliable oscillations. First contribution: A new model of a synthetic genetic oscillator based on a typical two-gene motif with one positive and one negative feedback loop is pre¬sented. The originality is that the repressor is a catalytic RNA molecule rather than a protein or a non-catalytic RNA molecule. This catalytic RNA is a ribozyme that acts post-transcriptionally by binding to and cleaving target mRNA molecules. This genetic clock involves just two genes, a mRNA and an activator protein, apart from the ribozyme. Parameter values that produce a circadian period in both determin¬istic and stochastic simulations have been chosen as an example of clock operation. The effects of the stochastic fluctuations are quantified by a period histogram and autocorrelation function. The conclusion is that catalytic RNA molecules can act as repressor proteins and simplify the design of genetic oscillators. Second and major contribution: It is demonstrated that a self-activating gene in conjunction with a simple negative interaction can easily produce robust matically validated. This model is comprised of two clearly distinct parts. The first is a positive feedback created by a protein that binds to the promoter of its own gene and activates the transcription. The second is a negative interaction in which a repressor molecule prevents this protein from binding to its promoter. A stochastic study shows that the system is robust to noise. A deterministic study identifies that the oscillator dynamics are mainly driven by two types of biomolecules: the protein, and the complex formed by the repressor and this protein. The main conclusion of this study is that a simple and usual negative interaction, such as degradation, se¬questration or inhibition, acting on the positive transcriptional feedback of a single gene is a sufficient condition to produce reliable oscillations. One gene is enough and the positive transcriptional feedback signal does not need to activate a second repressor gene. At the genetic level, this means that an explicit negative feedback loop is not necessary. Unlike many genetic oscillators, this model needs neither cooperative binding reactions nor the formation of protein multimers. Applications and future research directions: Recently, RNA molecules have been found to play many new catalytic roles. The first oscillatory genetic model proposed in this thesis uses ribozymes as repressor molecules. This could provide new synthetic biology design principles and a better understanding of cel¬lular clocks regulated by RNA molecules. The second genetic model proposed here involves only a repression acting on a self-activating gene and produces robust oscil¬lations. Unlike current two-gene oscillators, this model surprisingly does not require a second repressor gene. This result could help to clarify the design principles of cellular clocks and constitute a new efficient tool for engineering synthetic genetic oscillators. Possible follow-on research directions are: validate models in vivo and in vitro, research the potential of second model as a genetic memory, investigate new genetic oscillators regulated by non-coding RNAs and design a biosensor of positive feedbacks in genetic networks based on the operation of the second model Resumen Introduccion y motivacion: Una amplia variedad de organismos han desarro-llado relojes biomoleculares internos con el fin de adaptarse a los cambios ciclicos del entorno. El funcionamiento de estos relojes involucra redes geneticas. El mo delado de estas redes geneticas es esencial tanto para entender los mecanismos que producen las oscilaciones como para diseiiar nuevos circuitos sinteticos en celulas. Esta tesis doctoral ha dado lugar a dos contribuciones dentro de los campos de los circuitos geneticos en particular, y biologia de sistemas y sintetica en general. La primera contribucion es un nuevo modelo de circuito genetico que muestra un comportamiento oscilatorio usando moleculas de ARN cataliticas. La segunda y principal contribucion es un nuevo modelo de circuito genetico que demuestra que una molecula represora actuando sobre el lazo de un gen auto-activado produce oscilaciones robustas. Primera contribucion: Es un nuevo modelo de oscilador genetico sintetico basado en una tipica red genetica compuesta por dos genes con dos lazos de retroa-limentacion, uno positivo y otro negativo. La novedad de este modelo es que el represor es una molecula de ARN catalftica, en lugar de una protefna o una molecula de ARN no-catalitica. Este ARN catalitico es una ribozima que actua despues de la transcription genetica uniendose y cortando moleculas de ARN mensajero (ARNm). Este reloj genetico involucra solo dos genes, un ARNm y una proteina activadora, aparte de la ribozima. Como ejemplo de funcionamiento, se han escogido valores de los parametros que producen oscilaciones con periodo circadiano (24 horas) tanto en simulaciones deterministas como estocasticas. El efecto de las fluctuaciones es-tocasticas ha sido cuantificado mediante un histograma del periodo y la función de auto-correlacion. La conclusion es que las moleculas de ARN con propiedades cataliticas pueden jugar el misnio papel que las protemas represoras, y por lo tanto, simplificar el diseno de los osciladores geneticos. Segunda y principal contribucion: Es un nuevo modelo de oscilador genetico que demuestra que un gen auto-activado junto con una simple interaction negativa puede producir oscilaciones robustas. Este modelo ha sido estudiado y validado matematicamente. El modelo esta compuesto de dos partes bien diferenciadas. La primera parte es un lazo de retroalimentacion positiva creado por una proteina que se une al promotor de su propio gen activando la transcription. La segunda parte es una interaction negativa en la que una molecula represora evita la union de la proteina con el promotor. Un estudio estocastico muestra que el sistema es robusto al ruido. Un estudio determinista muestra que la dinamica del sistema es debida principalmente a dos tipos de biomoleculas: la proteina, y el complejo formado por el represor y esta proteina. La conclusion principal de este estudio es que una simple y usual interaction negativa, tal como una degradation, un secuestro o una inhibition, actuando sobre el lazo de retroalimentacion positiva de un solo gen es una condition suficiente para producir oscilaciones robustas. Un gen es suficiente y el lazo de retroalimentacion positiva no necesita activar a un segundo gen represor, tal y como ocurre en los relojes actuales con dos genes. Esto significa que a nivel genetico un lazo de retroalimentacion negativa no es necesario de forma explicita. Ademas, este modelo no necesita reacciones cooperativas ni la formation de multimeros proteicos, al contrario que en muchos osciladores geneticos. Aplicaciones y futuras lineas de investigacion: En los liltimos anos, se han descubierto muchas moleculas de ARN con capacidad catalitica. El primer modelo de oscilador genetico propuesto en esta tesis usa ribozimas como moleculas repre¬soras. Esto podria proporcionar nuevos principios de diseno en biologia sintetica y una mejor comprension de los relojes celulares regulados por moleculas de ARN. El segundo modelo de oscilador genetico propuesto aqui involucra solo una represion actuando sobre un gen auto-activado y produce oscilaciones robustas. Sorprendente-mente, un segundo gen represor no es necesario al contrario que en los bien conocidos osciladores con dos genes. Este resultado podria ayudar a clarificar los principios de diseno de los relojes celulares naturales y constituir una nueva y eficiente he-rramienta para crear osciladores geneticos sinteticos. Algunas de las futuras lineas de investigation abiertas tras esta tesis son: (1) la validation in vivo e in vitro de ambos modelos, (2) el estudio del potential del segundo modelo como circuito base para la construction de una memoria genetica, (3) el estudio de nuevos osciladores geneticos regulados por ARN no codificante y, por ultimo, (4) el rediseno del se¬gundo modelo de oscilador genetico para su uso como biosensor capaz de detectar genes auto-activados en redes geneticas.

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The genetic basis of heterosis was investigated in an elite rice hybrid by using a molecular linkage map with 150 segregating loci covering the entire rice genome. Data for yield and three traits that were components of yield were collected over 2 years from replicated field trials of 250 F2:3 families. Genotypic variations explained from about 50% to more than 80% of the total variation. Interactions between genotypes and years were small compared with the main effects. A total of 32 quantitative trait loci (QTLs) were detected for the four traits; 12 were observed in both years and the remaining 20 were detected in only one year. Overdominance was observed for most of the QTLs for yield and also for a few QTLs for the component traits. Correlations between marker heterozygosity and trait expression were low, indicating that the overall heterozygosity made little contribution to heterosis. Digenic interactions, including additive by additive, additive by dominance, and dominance by dominance, were frequent and widespread in this population. The interactions involved large numbers of marker loci, most of which individually were not detectable on single-locus basis; many interactions among loci were detected in both years. The results provide strong evidence that epistasis plays a major role as the genetic basis of heterosis.

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The nontoxic proteolytic C fragment of tetanus toxin (TTC peptide) has the same ability to bind nerve cells and be retrogradely transported through a synapse as the native toxin. We have investigated its potential use as an in vivo neurotropic carrier. In this work we show that a hybrid protein encoded by the lacZ–TTC gene fusion retains the biological functions of both proteins in vivo—i.e., retrograde transynaptic transport of the TTC fragment and β-galactosidase enzymatic activity. After intramuscular injection, enzymatic activity could be detected in motoneurons and connected neurons of the brainstem areas. This strategy could be used to deliver a biological activity to neurons from the periphery to the central nervous system. Such a hybrid protein could also be used to map synaptic connections between neural cells.

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Acknowledgements Mayuri Munasinghe was supported by a Commonwealth Scholarship (ref no. LKCS-2009-384). The development and use of the SNP chip was funded by a BBSRC grant BB/J003336/1. The authors thank Owen Price (University of Wollongong, Australia) for producing the coloured province map of Sri Lanka, Gareth Norton (Aberdeen) for merging the RDP1 SNP data with the Sri Lankan data and Tony Travis (Aberdeen) for help with PCA.

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Autoimmune diseases such as systemic lupus erythematosus are complex genetic traits with contributions from major histocompatibility complex (MHC) genes and multiple unknown non-MHC genes. Studies of animal models of lupus have provided important insight into the immunopathogenesis of disease, and genetic analyses of these models overcome certain obstacles encountered when studying human patients. Genome-wide scans of different genetic crosses have been used to map several disease-linked loci in New Zealand hybrid mice. Although some consensus exists among studies mapping the New Zealand Black (NZB) and New Zealand White (NZW) loci that contribute to lupus-like disease, considerable variability is also apparent. A variable in these studies is the genetic background of the non-autoimmune strain, which could influence genetic contributions from the affected strain. A direct examination of this question was undertaken in the present study by mapping NZB nephritis-linked loci in backcrosses involving different non-autoimmune backgrounds. In a backcross with MHC-congenic C57BL/6J mice, H2z appeared to be the strongest genetic determinant of severe lupus nephritis, whereas in a backcross with congenic BALB/cJ mice, H2z showed no influence on disease expression. NZB loci on chromosomes 1, 4, 11, and 14 appeared to segregate with disease in the BALB/cJ cross, but only the influence of the chromosome 1 locus spanned both crosses and showed linkage with disease when all mice were considered. Thus, the results indicate that contributions from disease-susceptibility loci, including MHC, may vary markedly depending on the non-autoimmune strain used in a backcross analysis. These studies provide insight into variables that affect genetic heterogeneity and add an important dimension of complexity for linkage analyses of human autoimmune disease.