Sonographic predictors of postnatal bowel atresia in fetal gastroschisis.

OBJECTIVES: To estimate the association between antenatal bowel dilation and postnatal small-bowel atresia in fetal gastroschisis and to establish a threshold at which the risk of adverse neonatal outcome increases. METHODS: This was a retrospective cohort study of singleton gestations with an antenatal diagnosis of gastroschisis seen in our ultrasound unit from 2001 to 2010. We reviewed stored images from the last ultrasound examination before delivery, blinded to postnatal diagnoses and outcomes. Fetal intra- and extra-abdominal bowel dilation (IABD and EABD, respectively) and bowel-wall thickness were measured. Previously published definitions of bowel dilation, including > 6, > 10, > 14 and > 18 mm, were evaluated for association with the primary outcome of bowel atresia. The optimal threshold to define fetal bowel dilation was determined by evaluating the significance of association as well as test performance characteristics. RESULTS: Of 109 consecutive patients with fetal gastroschisis, there were four cases of intrauterine fetal demise and three neonatal deaths. Of the 94 live births with complete outcome data, 39 (41.5%) had measurable IABD. There were 14 (14.9%) cases of bowel atresia. Using a threshold of > 14 mm, IABD was significantly associated with an increased risk for bowel atresia (relative risk, 3.1 (95% CI, 1.2-8.2)) with a sensitivity of 57.1%, specificity of 75.0%, positive predictive value of 28.6% and negative predictive value of 90.9%. IABD > 14 mm was also associated with a significantly longer stay in neonatal intensive care unit. There was no significant association between EABD and bowel atresia at any of the thresholds evaluated. CONCLUSION: IABD > 14 mm is associated with an increased risk for postnatal bowel atresia in fetal gastroschisis. This finding may be useful in counseling patients regarding the anticipated postnatal course for their neonate.

An integrated genetic linkage map with 1,137 markers constructed from five F2 crosses of autoimmune disease-prone and -resistant inbred rat strains.

The rat (Rattus norvegicus) is an important experimental model for many human diseases including arthritis, diabetes, and other autoimmune and chronic inflammatory diseases. The rat genetic linkage map, however, is less well developed than those of mouse and human. Integrated rat genetic linkage maps have been previously reported by Pravenec et al. (1996, Mamm. Genome 7: 117-127) (500 markers mapped in one cross), Bihoreau et al. (1997, Genome Res. 7: 434-440) (767 markers mapped in three crosses), Wei et al. (1998, Mamm. Genome 9: 1002-1007) (562 markers mapped in two crosses), Brown et al. (1998, Mamm. Genome 9: 521-530) (678 markers mapped in four crosses), and Nordquist et al. (1999, Rat Genome 5: 15-20) (330 markers mapped in two crosses). The densest linkage map combined with a radiation hybrid map, reported by Steen et al. (1999, Genome Res. 9: AP1-AP8), includes 4736 markers mapped in two crosses. Here, we present an integrated linkage map with 1137 markers. We have constructed this map by genotyping F2 progeny of five crosses: F344/NHsd x LEW/NHsd (673 markers), DA/Bkl x F344/NHsd (531 markers), BN/SsN x LEW/N (714 markers), DA/Bkl x BN/SsNHsd (194 markers), and DA/Bkl x ACI/SegHsd (245 markers). These inbred rat strains vary in susceptibility/resistance to multiple autoimmune diseases and are used extensively for many types of investigation. The integrated map includes 360 loci mapped in three or more crosses. The map contains 196 new SSLP markers developed by our group, as well as many SSLP markers developed by other groups. Two hundred forty genes are incorporated in the map. This integrated map should allow comparison of rat genetic maps from different groups and thereby facilitate genetic studies of rat autoimmune and related disease models.

Identification of a new quantitative trait locus on chromosome 7 controlling disease severity of collagen-induced arthritis in rats.

Autoimmune diseases, such as rheumatoid arthritis, Crohn's disease, and multiple sclerosis, are regulated by multiple genes. Major histocompatibility complex (MHC) genes have the strongest effects, but non-MHC genes also contribute to disease susceptibility/severity. In this paper, we describe a new non-MHC quantitative trait locus, Cia8, on rat Chromosome (Chr) 7 that controls collagen-induced arthritis severity in F2 progeny of DA and F344 inbred rats, and present an updated localization of Cia4 on the same chromosome. We also describe the location of mouse and human genes, orthologous to the genes in the genomic intervals containing Cia4 and Cia8, and provide evidence that the segment of rat Chr 7 containing Cia4 and Cia8 is homologous to segments of mouse Chr 10 and 15 and human Chr 8, 12, and 19.

Identification of a new non-major histocompatibility complex genetic locus on chromosome 2 that controls disease severity in collagen-induced arthritis in rats.

OBJECTIVE: To identify novel non-major histocompatibility complex (non-MHC) genetic loci controlling the severity of homologous rat type II collagen-induced arthritis (CIA). METHODS: We conducted a genome-wide scan to identify CIA regulatory quantitative trait loci (QTL) in an F2 cross between DA (CIA highly susceptible) and ACI (CIA resistant) inbred rats immunized with homologous rat type II collagen (RII). These strains share the MHC/RT1av1 haplotype required for susceptibility to RII-induced CIA. RESULTS: F2 females had higher median arthritis scores than did males. Relative resistance in the males was determined by inheriting either a DA or an ACI Y chromosome and was independent of the source of the X chromosome. In addition, a major QTL was localized on chromosome 2 (Cia7, logarithm of odds score 4.6). Cia7 is in a region that shows linkage conservation with chromosomal regions that regulate autoimmune diabetes and experimental autoimmune encephalomyelitis in mice and multiple sclerosis in humans. CONCLUSION: Sex chromosomes and Cia7 play an important role in regulating CIA in response to RII. This rat model should facilitate positional cloning and functional characterization of regulatory genes that may play a role in several forms of autoimmune disease, including rheumatoid arthritis.

Localization of quantitative trait loci regulating adjuvant-induced arthritis in rats: evidence for genetic factors common to multiple autoimmune diseases.

Adjuvant-induced arthritis (AIA) in rats is a widely used autoimmune experimental model with many features similar to rheumatoid arthritis (RA). To identify potential genetic regulatory mechanisms in RA, we conducted genome-wide linkage analysis in F2 progeny of arthritis-susceptible Dark Agouti (DA) and relatively resistant Fischer 344 (F344) inbred rats. We compared the data with our previously reported investigation of collagen-induced arthritis (CIA), which was expanded in the follow-up study reported in this work. We found two quantitative trait loci (QTLs) in common, i.e., Aia1/Cia1 on chromosome 20, which includes the MHC, and Aia3/Cia3 on chromosome 4. We also identified a second unique QTL in AIA, Aia2, on chromosome 4. Interestingly, the QTL region on chromosome 4 (Aia3/Cia3), like the MHC, appears to be involved in several other autoimmune diseases in rats, including insulin-dependent diabetes, thyroiditis, and experimental autoimmune uveitis. Moreover, an analysis of conserved synteny among rats, mice, and humans suggested that Aia2 and Aia3/Cia3, like Aia1/Cia1, contain candidate genes for several autoimmune/inflammatory diseases in mice and humans, including diabetes, systemic lupus erythematosus, inflammatory bowel disease, asthma/atopy, multiple sclerosis, and RA. The rat models appear to provide a powerful complementary approach to identify and characterize candidate genes that may contribute to autoimmune diseases in several species.

Genetic maps of polymorphic DNA loci on rat chromosome 1.

Genetic linkage maps of loci defined by polymorphic DNA markers on rat chromosome 1 were constructed by genotyping F2 progeny of F344/N x LEW/N, BN/SsN x LEW/N, and DA/Bkl x F344/Hsd inbred rat strains. In total, 43 markers were mapped, of which 3 were restriction fragment length polymorphisms and the others were simple sequence length polymorphisms. Nineteen of these markers were associated with genes. Six markers for five genes, gamma-aminobutyric acid receptor beta3 (Gabrb3), syntaxin 2 (Stx2), adrenergic receptor beta1 (Adrb1), carcinoembryonic antigen gene family member 1 (Cgm1), and lipogenic protein S14 (Lpgp), and 20 anonymous loci were not previously reported. Thirteen gene loci (Myl2, Aldoa, Tnt, Igf2, Prkcg, Cgm4, Calm3, Cgm3, Psbp1, Sa, Hbb, Ins1, and Tcp1) were previously mapped. Comparative mapping analysis indicated that a large portion of rat chromosome 1 is homologous to mouse chromosome 7, although the homologs of two rat genes are located on mouse chromosomes 17 and 19. Homologs of the rat chromosome 1 genes that we mapped are located on human chromosomes 6, 10, 11, 12, 15, 16, and 19.

A genome scan localizes five non-MHC loci controlling collagen-induced arthritis in rats.

Identification of specific genetic loci that contribute to susceptibility to rheumatoid arthritis (RA) in humans has been hampered by several factors, including: i) multiple interacting genetic loci contributing to susceptibility; ii) complex interactions of environmental and genetic factors; iii) genetic heterogeneity; and iv) low penetrance. We have, therefore, mapped quantitative trait loci (QTLs) that control inflammatory arthritis susceptibility and/or severity in progeny of two inbred rat strains with significantly different susceptibilities to collagen-induced arthritis (CIA), an animal model for RA. Not surprisingly, we identified a major susceptibility factor, Cia1, on chromosome 20 in the vicinity of the rat major histocompatibility complex (MHC). However, by limiting the analysis to animals with arthritis-susceptible MHC genotypes and using genome-wide QTL analytic techniques, we also found four non-MHC QTLs-Cia2, 3, 4 and 5-on chromosomes 1, 4, 7 and 10, that contributed to disease severity. In addition, a QTL on chromosome 8 was suggestive for linkage. Characterization of the genes underlying these QTLs will facilitate the identification of key biochemical pathways regulating experimental autoimmune arthritis in rats and may provide insights into RA and other human autoimmune diseases. These genes may also represent novel targets for therapy.