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A high-resolution genetic map of the familial Mediterranean fever candidate region allows identification of haplotype-sharing among ethnic groups.

Familial Mediterranean fever (FMF) is a recessive disorder of inflammation caused by mutations in a gene (designated MEFV) on chromosome 16p13.3. We have recently constructed a 1-Mb cosmid contig that includes the FMF critical region. Here we show genotype data for 12 markers from our physical map, including 5 newly identified microsatellites, in FMF families. Intrafamilial recombinations placed MEFV in the approximately 285 kb between D16S468/D16S3070 and D16S3376. We observed significant linkage disequilibrium in the North African Jewish population, and historical recombinants in the founder haplotype placed MEFV between D16S3082 and D16S3373 (approximately 200 kb). In smaller panels of Iraqi Jewish, Arab, and Armenian families, there were significant allelic associations only for D16S3370 and D16S2617 among the Armenians. A sizable minority of Iraqi Jewish and Armenian carrier chromosomes appeared to be derived from the North African Jewish ancestral haplotype. We observed a unique FMF haplotype common to Iraqi Jews, Arabs, and Armenians and two other haplotypes restricted to either the Iraqi Jewish or the Armenian population. These data support the view that a few major mutations account for a large percentage of the cases of FMF and suggest that some of these mutations arose before the affected Middle Eastern populations diverged from one another.

Alleles↗

Identification and mapping of genetic loci affecting the free-threshing habit and spike compactness in wheat ( Triticum aestivum L.).

Recombinant inbred lines of the International Triticeae Mapping Initiative (ITMI) mapping population were used to localize genetic loci that affect traits related to the free-threshing habit (percent threshability, glume tenacity, and spike fragility) and to spike morphology (spike length, spikelet number, and spike compactness) of wheat ( Triticum aestivum L.). The ITMI population was planted in three environments during 1999 and 2000, and phenotypic and genotypic data were used for composite interval mapping. Two quantitative trait loci (QTL) that consistently affected threshability-associated traits were localized on chromosomes 2D and 5A. Coincident QTL on the short arm of 2D explained 44% of the variation in threshability, 17% of the variation in glume tenacity, and 42% of the variation in rachis fragility. QTL on chromosomes 2D probably represent the effect of Tg, a gene for tenacious glumes. Coincident QTL on the long arm of 5A explained 21% and 10% of the variation in glume tenacity and rachis fragility, respectively. QTL on 5A are believed to represent the effect of Q. Overall, free-threshing-related characteristics were predominantly affected by Tg and to a lesser extent by Q. Other QTL that were significantly associated with threshability-related traits in at least one environment were localized on chromosomes 2A, 2B, 6A, 6D, and 7B. Four QTL on chromosomes 1B, 4A, 6A, and 7A consistently affected spike characteristics. Coincident QTL on the short arm of chromosome 1B explained 18% and 7% of the variation in spike length and spike compactness, respectively. QTL on the long arm of 4A explained 11%, 14%, and 12% of the variation in spike length, spike compactness, and spikelet number, respectively. A QTL on the short arm of 6A explained 27% of the phenotypic variance for spike compactness, while a QTL on the long arm of 7A explained 18% of the variation in spikelet number. QTL on chromosomes 1B and 6A appear to affect spike dimensions by modulating rachis internode length, while QTL on chromosomes 4A and 7A do so by affecting the formation of spikelets. Other QTL that were significantly associated with spike morphology-related traits, in at least one environment, were localized on chromosomes 2B, 3A, 3D, 4D, and 5A.

Chromosome Mapping↗

Development and validation of a PCR-based marker assay for negative selection of the HMW glutenin allele Glu-B1-1d (Bx-6) in wheat.

Polymorphisms between the coding sequences of high-molecular-weight (HMW) glutenin x-type genes at the Glu-1 locus were used to amplify Glu-1B x-type-specific PCR fragments. PCR analysis in a wheat cultivar subset carrying different Glu-1B x-type alleles resulted in PCR fragments that differed in size for Glu-B1-1d (B-x6) and non -Glu-B1-1d (B-x6) genotypes. Subsequent sequencing analysis revealed a 15-bp in-frame insertion in the coding regions of all Glu-B1-1d (B-x6) genotypes which allowed the development of a B-x6-specific PCR assay for high-throughput allele sizing by ion-pair reversed-phase high-performance liquid chromatography. The assay was validated in a set of 86 German wheat cultivars, and genotyping data unequivocally verified the presence of HMW glutenin subunits GLU-B1-1D (Bx-6) + GLU-B1-2A (By-8) by means of sodium dodecyl sulphate-polyacrylamide gel electrophoresis. These results demonstrate that the PCR assay can be applied for the detection and negative selection of the 'poor breadmaking quality' Glu-B1-1d (B-x6) alleles in wheat breeding programs.

Alleles↗

Mapping and tagging of seed coat colour and the identification of microsatellite markers for marker-assisted manipulation of the trait in Brassica juncea.

Microsatellite marker technology in combination with three doubled haploid mapping populations of Brassica juncea were used to map and tag two independent loci controlling seed coat colour in B. juncea. One of the populations, derived from a cross between a brown-seeded Indian cultivar, Varuna, and a Canadian yellow-seeded line, Heera, segregated for two genes coding for seed coat colour; the other two populations segregated for one gene each. Microsatellite markers were obtained from related Brassica species. Three microsatellite markers (Ra2-A11, Na10-A08 and Ni4-F11) showing strong association with seed coat colour were identified through bulk segregant analysis. Subsequent mapping placed Ra2-A11 and Na10-A08 on linkage group (LG) 1 at an interval of 0.6 cM from each other and marker Ni4-F11 on LG 2 of the linkage map of B. juncea published previously (Pradhan et al., Theor Appl Genet 106:607-614, 2003). The two seed coat colour genes were placed with markers Ra2-A11 and Na10-A08 on LG 1 and Ni4-F11 on LG 2 based on marker genotyping data derived from the two mapping populations segregating for one gene each. One of the genes (BjSC1) co-segregated with marker Na10-A08 in LG 1 and the other gene (BjSC2) with Ni4-F11 in LG 2, without any recombination in the respective mapping populations of 130 and 103 segregating plants. The identified microsatellite markers were studied for their length polymorphism in a number of yellow-seeded eastern European and brown-seeded Indian germplasm of B. juncea and were found to be useful for the diversification of yellow seed coat colour from a variety of sources into Indian germplasm.

Chromosome Mapping↗

Strain-specific and recessive QTLs involved in the control of partial resistance to Fusarium oxysporum f. sp. melonis race 1.2 in a recombinant inbred line population of melon.

Fusarium oxysporum f. sp. melonis (FOM) causes serious economic losses in melon (Cucumis melo L.). Two dominant resistance genes have been identified, Fom-1 and Fom-2, which provide resistance to races 0 and 2 and races 0 and 1, respectively, however FOM race 1.2 overcomes these resistance genes. A partial resistance to FOM race 1.2 that has been found in some Far East accessions is under polygenic control. A genetic map of melon was constructed to tag FOM race 1.2 resistance with DNA markers on a recombinant inbred line population derived from a cross between resistant (Isabelle) and susceptible (cv. Védrantais) lines. Artificial root inoculations on plantlets of this population using two strains, one that causes wilting (FOM 1.2w) and one that causes yellowing (FOM 1.2y), resulted in phenotypic and genotypic data that enabled the identification of nine quantitative trait loci (QTLs). These QTLs were detected on five linkage groups by composite interval mapping and explained between 41.9% and 66.4% of the total variation. Four digenic epistatic interactions involving seven loci were detected and increased the total phenotypic variation that was explained. Co-localizations between QTLs and resistance gene homologs or resistance genes, such as Fom-2 and Vat, were observed. A strain-specific QTL was detected, and some QTLs appeared to be recessive.

Chromosome Mapping↗

Characterization of Streptomyces MITKK-103, a newly isolated actinomycin X2-producer.

A new actinomycete strain designated MITKK-103 was isolated from the soil of a flowerpot using a humic acid agar medium. The newly isolated strain was able to produce a large amount of actinomycin X2 even under nonoptimized growing conditions and serves as a promising source of this antibiotic. Actinomycin X2 has higher cytotoxicity toward cultured human leukemia (HL-60) cells than does actinomycin D, and it induces cell death via apoptosis. A nearly complete 16S ribosomal DNA (rDNA) sequence from the isolate was determined and found to have high identity (98.5-100%) with Streptomyces galbus, Streptomyces griseofuscus, and Streptomyces padanus, indicating that MITKK-103 belongs to the genus Streptomyces. The isolate clustered with species belonging to the S. padanus clade in a 16S-rDNA-based phylogenetic tree and showed 75% overall homology to S. padanus ATCC 25646 in DNA-DNA relatedness analysis. Although the growth of the isolate was somewhat different from the three species mentioned, the strain MITKK-103 most closely resembles S. padanus on the basis of the morphological and phenotypic characteristics, phylogenetic analysis, and genotypic data. As such, this is the first report of a strain of S. padanus capable of producing actinomycins.

Bacterial Typing Techniques↗

Mapping the dominant wound healing and soft tissue regeneration QTL in MRL x CAST.

We have used a mouse ear punch model and the QTL (quantitative trait loci) mapping technique to identify genes that are responsible for soft tissue regeneration. In the early studies, we have identified several QTL and have shown that the inheritance of ear healing was additive in one cross (MRL x SJL), and recessive in another cross (DBA x 129). Because CAST mice are genetically distinct and have a different genetic background, CAST would facilitate the identification of common and novel QTL when crossed with common inbred lines. We made a cross between super healer MRL and poor healer CAST and collected ear punch phenotype and marker genotype data from F(2). Ear punch healing exhibited a dominant mode of inheritance in this cross. There were three main QTL on Chromosomes 4, 9, and 17, and two suggestive QTL on Chromosomes 1 (new) and 7. Taken together, these QTL accounted for about 29% of total F2 variance of MRL x CAST. Compared with another study using the same cross, we found a totally different set of QTL. Two QTL interactions were identified by a full QTL model: Chromosomes 4 x 17 and 9 x 17; the latter reached to a statistical level at p < 0.05. These interactions explained about 4% of the F2 phenotypic variance. We conclude that soft tissue regeneration is controlled by multiple genes and locus vs. locus interactions.

Animals↗

A second-generation linkage map of the sheep genome.

A genetic map of Ovis aries (haploid n = 27) was developed with 519 markers (504 microsatellites) spanning approximately 3063 cM in 26 autosomal linkage groups and 127 cM (female specific) of the X Chromosome (Chr). Genotypic data were merged from the IMF flock (Crawford et al., Genetics 140, 703, 1995) and the USDA mapping flock. Seventy-three percent (370/504) of the microsatellite markers on the map are common to the USDA-ARS MARC cattle linkage map, with 27 of the common markers derived from sheep. The number of common markers per homologous linkage group ranges from 5 to 22 and spans a total of 2866 cM (sex average) in sheep and 2817 cM in cattle. Marker order within a linkage group was consistent between the two species with limited exceptions. The reported translocation between the telomeric end of bovine Chr 9 (BTA 9) and BTA 14 to form ovine Chr 9 is represented by a 15-cM region containing 5 common markers. The significant genomic conservation of marker order will allow use of linkage maps in both species to facilitate the search for quantitative trait loci (QTLs) in cattle and sheep.

Animals↗

Use of X-linked markers for forensic purposes.

In forensic science, X-chromosomal short tandem repeats (ChrX STRs) bear the potential to efficiently complement the analysis of other genetic markers (autosomal, Y-chromosomal or mitochondrial). We review the population genetic properties and forensic utility of selected ChrX markers, and discuss the problems and limitations arising with their practical use. Formulae required to assess the evidential power of individual markers in different contexts are summarised and applied to ChrX STRs of interest. Since linkage and linkage disequilibrium between markers affect the inferential interpretation of genotype data, practically relevant information regarding the co-localisation and haplotypic association of ChrX STRs is provided. Finally, two examples of complex kinship testing are presented which serve to highlight the particular importance of ChrX STRs for solving deficiency cases and cases involving blood relatives.

Chromosome Mapping↗

Effectiveness of computational methods in haplotype prediction.

Haplotype analysis has been used for narrowing down the location of disease-susceptibility genes and for investigating many population processes. Computational algorithms have been developed to estimate haplotype frequencies and to predict haplotype phases from genotype data for unrelated individuals. However, the accuracy of such computational methods needs to be evaluated before their applications can be advocated. We have experimentally determined the haplotypes at two loci, the N-acetyltransferase 2 gene ( NAT2, 850 bp, n=81) and a 140-kb region on chromosome X ( n=77), each consisting of five single nucleotide polymorphisms (SNPs). We empirically evaluated and compared the accuracy of the subtraction method, the expectation-maximization (EM) method, and the PHASE method in haplotype frequency estimation and in haplotype phase prediction. Where there was near complete linkage disequilibrium (LD) between SNPs (the NAT2 gene), all three methods provided effective and accurate estimates for haplotype frequencies and individual haplotype phases. For a genomic region in which marked LD was not maintained (the chromosome X locus), the computational methods were adequate in estimating overall haplotype frequencies. However, none of the methods was accurate in predicting individual haplotype phases. The EM and the PHASE methods provided better estimates for overall haplotype frequencies than the subtraction method for both genomic regions.

Arylamine N-Acetyltransferase↗

Analysis of families with common variable immunodeficiency (CVID) and IgA deficiency suggests linkage of CVID to chromosome 16q.

Common variable immunodeficiency (CVID) is an antibody deficiency syndrome that often co-occurs in families with selective IgA deficiency (IgAD). Vorechovský et al. (Am J Hum Genet 64:1096-1109, 1999; J Immunol 164:4408-4416, 2000) ascertained and genotyped 101 multiplex IgAD families and used them to identify and fine map the IGAD1 locus on chromosome 6p. We analyzed the original genotype data in a subset of families with at least one case of CVID and present evidence of a CVID locus on chromosome 16q with autosomal dominant inheritance. The peak (model-based) LOD score for the best marker D16S518 is 2.83 at theta=0.07, and a 4-marker LOD score under heterogeneity peaks at 3.00 with alpha=0.68. The (model-free) NPL score using the same markers peaks at the same location with a value of 3.38 (P=0.0001).

Chromosome Mapping↗

SNP microarray analysis for genome-wide detection of crossover regions.

There is a great deal of interest in understanding the non-random distribution of recombination events over the human genome, because it has important implications for using linkage disequilibrium (LD) to identify human disease genes. So far, only a few recombination hotspots in the human genome have been characterised and the identification of new crossover hotspots will contribute to a better understanding of the mechanisms that govern their formation and distribution. This study shows that high-density single nucleotide polymorphism (SNP) arrays, together with the presented analysis method, are an appropriate tool for generating a whole-genome recombination pattern and for detecting new crossover regions with enhanced recombination frequency. Based on the genotype data of 16 members of a Caucasian three-generation family, we identified 825 crossover regions. The average recombination frequency of females and males was 0.77 and 0.56 cM/Mb, respectively. We detected 24 crossover regions showing elevated recombination activity, which comprised known hotspots, like the MHC II region, confirming the non-random distribution of recombination events along the genome. Interestingly, 29.2% of the identified crossover hotspot regions overlapped with regions flanked by segmental duplications published by Bailey et al. (Science 297:1003-1007, 2002) suggesting that segmental duplications and crossover hotspot regions are mechanistically linked. By extrapolating the results of the present study, we conclude that it might be feasible, at least in part, to estimate to what extent the block-like pattern of LD exactly relies on the genome-wide crossover pattern using the next generation high-density SNP microarrays.

Crossing Over, Genetic↗

Polymorphisms in DNA repair genes and risk of non-Hodgkin lymphoma among women in Connecticut.

Several hereditary syndromes characterized by defective DNA repair are associated with high risk of non-Hodgkin lymphoma (NHL). To explore whether common polymorphisms in DNA repair genes affect risk of NHL in the general population, we evaluated the association between single nucleotide polymorphisms (SNPs) in DNA repair genes and risk of NHL in a population-based case-control study among women in Connecticut. A total of 518 NHL cases and 597 controls recruited into the study provided a biologic sample. Thirty-two SNPs in 18 genes involved in several DNA repair pathways were genotyped. Genotype data were analyzed by unconditional logistic regression adjusting for age and race. SNPs in four genes (ERCC5, ERCC2, WRN, and BRCA1) were associated with altered risk of NHL and diffuse large B-cell lymphoma (DLBCL), the major B cell subtype. In particular, ERCC5 Asp1104His was associated with increased risk of NHL overall (OR: 1.46; 95% CI: 1.13-1.88; P=0.004), DLBCL (OR: 1.44; 95% CI: 0.99-2.09; P=0.058), and also T cell lymphoma. WRN Cys1367Arg was associated with decreased risk of NHL overall (OR: 0.71; 95% CI: 0.56-0.91; P=0.007) and DLBCL (OR: 0.66; 95% CI: 0.45-0.95; P=0.024), as well as follicular and marginal zone lymphomas. Genetic polymorphisms in DNA repair genes, particularly ERCC5 and WRN, may play a role in the pathogenesis of NHL, especially for DLBCL. Further work is needed to extend these findings by carrying out extended haplotype analyses of these and related genes and to replicate the observations in other studies.

Adult↗

Estimation of haplotype associated with several quantitative phenotypes based on maximization of area under a receiver operating characteristic (ROC) curve.

An algorithm for estimating haplotypes associated with several quantitative phenotypes is proposed. The concept of a receiver operating characteristic (ROC) curve was introduced, and a linear combination of the quantitative phenotypic values was considered. This set of values was divided into two parts: values for subjects with and without a particular haplotype. The goodness of its partition was evaluated by the area under the ROC curve (AUC). The AUC value varied from 0 to 1; this value was close to 1 when the partition had high accuracy. Therefore, the strength of association between phenotypes and haplotypes was considered to be proportional to the AUC value. In our algorithm, the parameters representing a degree of association between the haplotypes and phenotypes were estimated so as to maximize the AUC value; further, the haplotype with the maximum AUC value was considered to be the best haplotype associated with the phenotypes. This algorithm was implemented by using R language. The effectiveness of our algorithm was evaluated by applying it to real genotype data of the Calpine-10 gene obtained from diabetics. The results showed that our algorithm was more reasonable and advantageous for use with several quantitative phenotypes than the generalized linear model or the neural network model.

Algorithms↗

Linkage disequilibrium and haplotype analysis among ten single-nucleotide polymorphisms of interleukin 11 identified by sequencing of the gene.

Interleukin (IL11) is a member of the interleukin 6 (IL6)-related cytokine subfamily, which stimulates T cell-dependent development of immunoglobulin-producing B cells. IL11 is also an important paracrine regulator of bone metabolism that induces formation of osteoclasts. In the work reported here, we sequenced the entire IL11 structural gene of 48 alleles in a Japanese test population. These experiments identified ten single-nucleotide polymorphisms (SNPs) and determined their allelic frequencies. One polymorphism was identified upstream of exon 1, one in exon 3, four in intron 4 and four in the 3' untranslated region (3'UTR) of exon 5. Based on the genotype data, we constructed six haplotypes in the tested population. Two-way comparisons of SNPs revealed two combinations in complete linkage disequilibrium, one with SNPs at nucleotide positions 2753, 3644, 5154, and 5568, and another with SNPs at positions 3686, 5141, and 5734. These results will be useful in disease-association studies where a contribution of the human IL11 gene has been suspected, especially in disorders affecting immune response and bone metabolism.

3' Untranslated Regions↗

Linkage disequilibrium and haplotype analysis among eight novel single-nucleotide polymorphisms in the human tissue-type plasminogen activator (t-PA) gene.

Tissue-type plasminogen activator (t-PA), a serine protease, activates the conversion of plasminogen to the fibrinolytic protein, plasmin. The t-PA gene, mapped to chromosome 8p12-p11.2, contains 14 exons. An Alu insertion/deletion (I/D) polymorphism in this gene has been associated with an increased risk for myocardial infarction. In the work reported here we sequenced 11 kilobases (kb) of genomic DNA from 50 normal Japanese volunteers (100 alleles), to include all 14 exons of the t-PA gene, flanking intronic sequences, and 6kb of the 5' sequence. These experiments identified eight novel single-nucleotide polymorphisms (SNPs), in addition to the known Alu I/D polymorphism, from which genotypic data we constructed 12 haplotypes in the tested population. Two-way comparisons of SNPs and the Alu polymorphism revealed strong linkage disequilibrium between the Alu site and SNPs at positions 20,209 (chi2 = 92.263) and 27,555 (chi2 = 47.53), and between SNPs at positions 27,849 and 28,902 chi2 = 66.331). A phylogenic tree was constructed to infer a process of genome construction that would reflect the sequence variations we observed. Our results help to explain the lack of agreement among results of various disease-association studies in which a contribution of the human t-PA gene has been suspected but not always confirmed.

Alleles↗

Apolipoprotein E, memory and Alzheimer's disease.

Apolipoprotein E (ApoE) epsilon 4 is a well-documented risk factor for Alzheimer's disease (AD). Patients with AD show neuronal damage, particularly in the medial temporal lobe structures involved in memory processing. ApoE has been implicated in nerve regeneration following injury, and synaptogenesis in the hippocampus of experimental animals. Recent studies have shown an increased accumulation of beta A4 amyloid and an increased deficit in ACh-containing neurons in the brains of AD patients that are homozygous for ApoE epsilon 4 compared with those lacking epsilon 4. Furthermore, AD patients with two ApoE epsilon 4 alleles have more-severe loss in hippocampal volume in magnetic resonance imaging (MRI) scans, and more impairment in tests assessing delayed memory, than AD patients without the epsilon 4 allele, in spite of similar global severity of dementia. Minor changes in hippocampal MRI volumetry can also be detected in nondemented elderly, particularly in those with an epsilon 4/4 genotype. Data from a population-based study revealed that elderly subjects carrying the epsilon 4 allele had worse learning ability than those with the epsilon 2/2 or epsilon 2/3 phenotypes, whereas these groups did not differ in other cognitive domains. These data suggest that ApoE epsilon 4 might influence the magnitude of medial temporal lobe atrophy and memory impairment in AD and also in nondemented elderly.

Alzheimer Disease↗

A detailed multipoint gene map of chromosome 1q.

Utilizing genotyping data for 23 markers, we have constructed a 21-locus multipoint genetic map of the long arm of chromosome 1. Five new RFLPs are reported. The map integrates anonymous loci from previous primary linkage maps and incorporates markers for 10 coding sequences. These markers form a continuous linkage group of 85 cM in males and 141 cM in females. The map was constructed employing the LINKAGE and CRIMAP computational methodologies via a stepwise algorithm.

Algorithms↗