Characterization of the leukemogenic potential of distal cytoplasmic CSF3R truncation and missense mutations.

An increasing number of variants of unknown significance are being identified in leukemia patients with the application of deep sequencing and these include CSF3R cytoplasmic mutations. Previous studies have demonstrated oncogenic potential of certain CSF3R truncation mutations prior to internalization motifs. However, the oncogenic potential of truncating the more distal region of CSF3R cytoplasmic domain as well as cytoplasmic missense mutations remains uncharacterized. Here we identified that CSF3R distal cytoplasmic truncation mutations (Q793-Q823) also harbored leukemogenic potential. Mechanistically, these distal cytoplasmic truncation mutations demonstrated markedly decreased receptor degradation, probably owing to loss of the de-phosphorylation domain (residues N818-F836). Furthermore, all truncations prior to Q823 demonstrated increased expression of the higher molecular weight CSF3R band, which is shown to be essential for the receptor surface expression and the oncogenic potential. We further demonstrated that sufficient STAT5 activation is essential for oncogenic potential. In addition, CSF3R K704A demonstrated transforming capacity due to interruption of receptor ubiquitination and degradation. In summary, we have expanded the region of the CSF3R cytoplasmic domain in which truncation or missense mutations exhibit leukemogenic capacity, which will be useful for evaluating the relevance of CSF3R mutations in patients and helpful in defining targeted therapy strategies.

Immune response gene profiles in the term placenta depend upon maternal muscle mass.

Maternal thinness leads to metabolic challenges in the offspring, but it is unclear whether reduced maternal fat mass or muscle mass drives these metabolic changes. Recently, it has been shown that low maternal muscle mass--as measured by arm muscle area (AMA)--is associated with depressed nutrient transport to the fetus. To determine the role of maternal muscle mass on placental function, we analyzed the gene expression profiles of 30 human placentas over the range of AMA (25.2-90.8 cm(2)) from uncomplicated term pregnancies from the Southampton Women's Survey cohort. Eighteen percent of the ∼60 genes that were highly expressed in less muscular women were related to immune system processes and the interferon-γ (IFNG) signaling pathway in particular. Those transcripts related to the IFNG pathway included IRF1, IFI27, IFI30, and GBP6. Placentas from women with low muscularity are, perhaps, more sensitive to the effects of inflammatory cytokines than those from more muscular women.

Characterization of the quantitative trait locus for haloperidol-induced catalepsy on distal mouse chromosome 1.

We report here the confirmation of the quantitative trait locus for haloperidol-induced catalepsy on distal chromosome (Chr) 1. We determined that this quantitative trait locus was captured in the B6.D2-Mtv7a/Ty congenic mouse strain, whose introgressed genomic interval extends from approximately 169.1 to 191.3 Mb. We then constructed a group of overlapping interval-specific congenic strains to further break up the interval and remapped the locus between 177.5 and 183.4 Mb. We next queried single nucleotide polymorphism (SNP) data sets and identified three genes with nonsynonymous coding SNPs in the quantitative trait locus. We also queried two brain gene expression data sets and found five known genes in this 5.9-Mb interval that are differentially expressed in both whole brain and striatum. Three of the candidate quantitative trait genes were differentially expressed using quantitative real-time polymerase chain reaction analyses. Overall, the current study illustrates how multiple approaches, including congenic fine mapping, SNP analysis and microarray gene expression screens, can be integrated both to reduce the quantitative trait locus interval significantly and to detect promising candidate quantitative trait genes.

Evidence for linkage and association to alcohol dependence on chromosome 19.

An association study on markers showing suggestive evidence for linkage to severe alcoholism was performed on the Collaborative Study on the Genetics of Alcoholism (COGA) data set. Our linkage study was restricted to the autosomal markers on chromosomes 2, 3, 4, 13, and 19, with low homozygosity (below 30%) and high identity-by-state sharing in affected sib pairs (ASPs). We used a strict phenotype definition, only individuals diagnosed as affected both on the ALDX1 (COGA criterion) and ALDX2 (ICD-10) scales were used in the analyses. Linkage was assessed by excess identity-by-descent allele sharing in ASPs. The strongest evidence of linkage was detected on chromosome 19, in particular at markers D19S49 (p < 0.0001) and D19S431 (p < 0.002). An association study of allele and haplotype data was then carried out on chromosome 19 markers using affected-family-based controls. A haplotype defined by alleles at markers D19S49, D19S43, and D19S200 in chromosome 19 shows significant association (p < 0.003, odds ratio 2.82). Further, significant differences were observed in the distribution of the harm avoidance subscale among genotypes defined by D19S49 (p < 0.0001). These results provide evidence for the existence of a locus in chromosome 19 potentially involved in alcohol dependence susceptibility.

Evolution of HLA class II molecules: Allelic and amino acid site variability across populations.

Analysis of the highly polymorphic beta1 domains of the HLA class II molecules encoded by the DRB1, DQB1, and DPB1 loci reveals contrasting levels of diversity at the allele and amino acid site levels. Statistics of allele frequency distributions, based on Watterson's homozygosity statistic F, reveal distinct evolutionary patterns for these loci in ethnically diverse samples (26 populations for DQB1 and DRB1 and 14 for DPB1). When examined over all populations, the DQB1 locus allelic variation exhibits striking balanced polymorphism (P < 10(-4)), DRB1 shows some evidence of balancing selection (P < 0.06), and while there is overall very little evidence for selection of DPB1 allele frequencies, there is a trend in the direction of balancing selection (P < 0.08). In contrast, at the amino acid level all three loci show strong evidence of balancing selection at some sites. Averaged over polymorphic amino acid sites, DQB1 and DPB1 show similar deviation from neutrality expectations, and both exhibit more balanced polymorphic amino acid sites than DRB1. Across ethnic groups, polymorphisms at many codons show evidence for balancing selection, yet data consistent with directional selection were observed at other codons. Both antigen-binding pocket- and non-pocket-forming amino acid sites show overall deviation from neutrality for all three loci. Only in the case of DRB1 was there a significant difference between pocket- and non-pocket-forming amino acid sites. Our findings indicate that balancing selection at the MHC occurs at the level of polymorphic amino acid residues, and that in many cases this selection is consistent across populations.

Codon usage bias and base composition in MHC genes in humans and common chimpanzees.

Codon bias and base composition in major histocompatibility complex (MHC) sequences have been studied for both class I and II loci in Homo sapiens and Pan troglodytes. There is low to moderate codon bias for the MHC of humans and chimpanzees. In the class I loci, the same level of moderate codon bias is seen for HLA-B, HLA-C, Patr-A, Patr-B, and Patr-C, while at HLA-A the level of codon bias is lower. There is a correlation between codon usage bias and G+C content in the A and B loci in humans and chimps, but not at the C locus. To examine the effect of diversifying selection on codon bias, we subdivided class I alleles into antigen recognition site (ARS) and non-ARS codons. ARS codons had lower bias than non-ARS codons. This may indicate that the constraint of codon bias on nucleotide substitution may be selected against in ARS codons. At the class II loci, there are distinct differences between alpha and beta chain genes with respect to codon usage, with the beta chain genes being much more biased. Species-specific differences in base composition were seen in exon 2 at the DRB1 locus, with lower GC content in chimpanzees. Considering the complex evolutionary history of MHC genes, the study of codon usage patterns provides us with a better understanding of both the evolutionary history of these genes and the evolution of synonymous codon usage in genes under natural selection.

Locus and population specific evolution in HLA class II genes.

The population genetics of the HLA class II loci was studied with reference to variation in the frequency of (a) alleles at a locus and (b) amino acids at specific sites. Variation was surveyed at 4 loci (DRB1, DQA1, DQB1, and DPB1) in 22 populations from the Twelfth International Histocompatibility Workshop (Saint-Malo, 1996). Allele and amino acid variation was measured by computing heterozygosity and the effective number of alleles. Substantial variations in polymorphism were observed among the various populations and loci studied. In the majority of the populations, DRB1 has the highest heterozygosity and effective number of alleles. As previously shown, the Amerindian populations have lower levels of allelic diversity when compared to other populations. At the amino acid level, DRB1 antigen recognition sites (ARS) have the highest heterozygosities and effective number of alleles. For the other loci (DPB1, DQA1, and DQB1) for which there is no crystal structure and for which ARS sites were inferred from DRB1, non-ARS sites were often among the sites with highest levels of variation. It is possible that these putative non-ARS sites do play a role in antigen presentation. The homozygosity test for neutrality was applied to allele and amino acid data. Of the four HLA class II loci studied, only DPB1 failed to show evidence of balancing selection. DQB1 and DQA1 depart significantly from neutrality in the largest number of populations. Genetic distances between populations were computed based on frequency of alleles and amino acids at ARS sites.