Unique haplotypes of co-segregating major histocompatibility class II <Emphasis Type="Italic">A</Emphasis> and class II <Emphasis Type="Italic">B</Emphasis> alleles in Atlantic salmon (<Emphasis Type="Italic">Salmo salar</Emphasis>) give rise to diverse class II genotypes

Sequence-based typing of a breeding population (G1) consisting of 84 Atlantic salmon individuals revealed the presence of 7 Sasa-DAA and 7 Sasa-DAB expressed alleles. Subsequent typing of 1,182 individuals belonging to 33 families showed that Sasa-DAA and Sasa-DAB segregate as haplotypes. In total seven unique haplotypes were established, with frequencies in the population studied ranging from 0.01 to 0.49. Each haplotype is characterized by a unique minisatellite marker size embedded in the 3' untranslated region of the Sasa-DAA gene. These data corroborate the fact that Atlantic salmon express a single class II locus, consisting of tightly linked class II A and class B genes. The seven haplotypes give rise to 15 genotypes with frequencies varying between 0.01 and 0.23; 21 class II homozygous individuals were present in the G1 population. We also studied the frequency distribution in another breeding population (G4, n=374) using the minisatellite marker. Only one new marker size was present, suggesting the presence of one new class II haplotype. The marker frequency distribution in the G4 population differed markedly from the G1 population. The genomic organizations of two Sasa-DAA and Sasa-DAB alleles were determined, and supported the notion that these alleles belong to the same locus. In contrast to other studies of salmonid class II sequences, phylogenetic analyses of brown trout and Atlantic class II A and class II B sequences provided support for trans-species polymorphism.     

Allelic and haplotypic diversity at the major histocompatibility class II within domesticated Australian Atlantic salmon (Salmo salar L.)

Variation within the major histocompatibility (MH) class II alpha gene ( Sasa-DAA ) was compared between domesticated Australian Atlantic salmon and their ancestral Canadian population. The level of Sasa-DAA and MH class II beta gene ( Sasa-DAB ) sequence variation was also examined within the Australian population and compared with that published for European Atlantic salmon populations. In contrast to variation previously reported for non-coding microsatellite loci, a high level of MH class II allelic variation has been maintained within the domesticated Australian populations. Furthermore, a high level of Sasa-DAA and Sasa-DAB allele sequence diversity was also observed and exceeded that reported for other cultured Atlantic salmon populations. The number of Sasa-DAB allele sequences (14) surpassed the number of Sasa-DAA allele sequences (9) to produce 14 unique class II haplotypes. We conclude that the Australian Atlantic salmon populations show high MH class II allelic and haplotypic variation compared with both its ancestral Canadian population and other cultured Atlantic salmon populations.     

Testing for linkage disequilibrium in the New Zealand radiata pine breeding population

Linkage analysis is commonly used to find marker-trait associations within the full-sib families of forest tree and other species. Study of marker-trait associations at the population level is termed linkage-disequilibrium (LD) mapping. A female-tester design comprising 200 full-sib families generated by crossing 40 pollen parents with five female parents was used to assess the relationship between the marker-allele frequency classes obtained from parental genotypes at SSR marker loci and the full-sib family performance (average predicted breeding value of two parents) in radiata pine (Pinus radiata D. Don). For alleles (at a marker locus) that showed significant association, the copy number of that allele in the parents was significantly correlated, either positively or negatively, with the full-sib family performance for various economic traits. Regression of parental breeding value on its genotype at marker loci revealed that most of the markers that showed significant association with full-sib family performance were not significantly associated with the parental breeding values. This suggests that over-representation of the female parents in our sample of 200 full-sib families could have biased the process of detecting marker-trait associations. The evidence for the existence of marker-trait LD in the population studied is rather weak and would require further testing. The exact test for genotypic disequilibrium between pairs of linked or unlinked marker loci revealed non-significant LD. Observed genotypic frequencies at several marker loci were significantly different from the expected Hardy-Weinberg equilibrium. The possibilities of utilising marker-trait associations for early selection, among-family selection and selecting parents for the next generation of breeding are also discussed.     

Polymorphism in the 3' UTR of the IL12B gene is associated with Chagas' disease cardiomyopathy

The aim of this study was to investigate the possible influence of a 3' untranslated region (3' UTR) polymorphism of the IL12B gene in susceptibility to Trypanosoma cruzi infection or in the development to cardiomyopathy in Chagas' disease (CD). We determined the IL12B 3' UTR genotypes in a sample of 200 seronegative individuals and 260 serologically positive patients (130 with Chagasic cardiomyopathy and 130 asymptomatic). All individuals are from a Colombian region where T. cruzi infection is endemic. Genotyping was performed by the PCR-restriction fragment length polymorphism (RFLP) method. The overall distribution of the IL12B 3' UTR alleles and genotypes in seronegative compared with seropositive individuals was not statistically significant. Interestingly, we found that the IL12B 3' UTR CC genotype was significantly increased among cardiomyopathic patients when compared to asymptomatic individuals (16% versus 5%; P=0.005; P(c)=0.015; OR=3.39; 95% CI 1.3-9.15). In addition, we observed that the IL12B 3' UTR C allele was present at significantly higher frequency in cardiomyopathic (33% versus 22%; P=0.008; P(c)=0.016; OR=1.69; 95% CI 1.12-2.55) as compared to asymptomatic. Our results suggest that IL12B 3' UTR gene polymorphisms may influence the susceptibility to develop Chagasic cardiomyopathy.     

MHC polymorphism and disease resistance to Vibrio anguillarum in 12 selective Japanese flounder (Paralichthys olivaceus) families

Genetic variation in the major histocompatibility complex (MHC) class IIB was tested in Japanese flounder (Paralichthys olivaceus) for survival after challenge with bacterial infection. The material consisted of 6000 Japanese flounder from 60 families challenged with Vibrio anguillarum, which causes significantly different mortality in flounder families. Five individuals from each of six high-resistance (HR) and six low-resistance (LR) families were screened for their MHC class IIB genotypes using sequence analysis. High polymorphism of MHC IIB gene and at least three loci were discovered in Japanese flounder and the rate of d(N) occurred at a significantly higher frequency than that of d(S) in PBR. Among 60 individuals, 76 alleles were discovered and 15 alleles were used to study associations between alleles and resistance to disease. We found highly significant associations between resistance towards infectious disease caused by V. anguillarum and MHC class IIB polymorphism in Japanese flounder. Some alleles appeared in both HR and LR families, while some alleles were only discovered in HR or LR families. One allele, Paol-DAB*4301, was significantly more prevalent in HR families than in LR families (P=0.023). Paol-DAB*0601, Paol-DAB*0801, Paol-DAB*2001, Paol-DAB*3803 were discovered in two HR families with high frequency. One allele, Paol-DAB*1601, was discovered in three LR families. The steady heredity of MHC class IIB alleles was observed, and the family having Paol-DAB*4301 alleles was confirmed with higher resistance to V. anguillarum. This study confirmed the association between alleles of MHC class IIB gene and disease resistance, and also detected some alleles which might be correlated with high bacterial infection resistance. The disease resistance-related MHC markers could be used for molecular marker-assisted selective breeding in the flounder.     

Genetic diversity and association analysis for salinity tolerance, heading date and plant height of barley germplasm using simple sequence repeat markers

The objective of this study was to investigate the genetic diversity of barley accessions.Additionally,association trait analysis was conducted for grain yield under salinity,heading date and plant height.For this purpose,48 barley genotypes were analyzed with 22 microsatellite simple sequence repeat (SSR) markers.Four of the 22 markers (Bmac316,scssr03907,HVM67 and Bmag770) were able to differentiate all barley genotypes.Cluster and principal coordinate analysis allowed a clear grouping between countries from the same region.The genotypes used in this study have been evaluated for agronomic performance in different environments.Conducting association analysis for grain yield under salinity conditions using TASSEL software revealed a close association of the marker Bmag749 (2H,bin 13) in two different environments with common significant alleles (175,177),whereas the HVHOTR1 marker (2H,bin 3) was only significant in Sakhar_Egypt with alleles size being 158 and 161.Heading date also showed an association with scssr03907 through the common significant specific allele 111 and EBmacO415 markers in three different agro climatic locations,whereas HVCMA,scssr00103 and HVM67 were linked to heading date in the Egyptian environment only.The plant height association analysis revealed significant markers Bmag770 via the significant allele 152 and scssr09398.     

Association of BLV infection profiles with alleles of the BoLA-DRB3.2 gene

Bovine leukaemia virus (BLV) causes lymphosarcoma and persistent lymphocytosis (PL). Some MHC class II gene polymorphisms have been associated with resistance and susceptibility to the development of lymphosarcoma and PL, as well as with a reduced number of circulating BLV-infected lymphocytes. Previously, 230 BLV-infected Holstein cattle were classified into two infection profiles characterized by low and high proviral loads (LPL and HPL respectively). Here, the influence of the polymorphism at the BoLA-DRB3.2* gene of these animals was examined. After genotyping, the association between the BoLA-DRB3.2* alleles and the BLV infection profile was determined as the odds ratio (OR). Two subtypes of allele *11 were identified (ISAG *0901 and *0902 ). Allele ISAG *0902 showed a stronger association with the LPL profile (OR = 8.24; P  <   0.0001) than allele *11 itself (OR = 5.82; P  <   0.0001). Allele ISAG *1701 ( *12 ) also showed significant association with the LPL profile (OR = 3.46; P  <   0.0055). Only one allele, ISAG *1501 or 03 ( *16 ), showed significant association with HPL (OR = 0.36; P  <   0.0005). The DRB3.2* alleles were assigned to three categories: resistant ( R ), susceptible ( S ) and neutral ( N ). Based on their DRB3 genotypes, cattle were classified as homozygous or heterozygous. The RR and RN genotypes were associated with the LPL profile, while the SS and NS genotypes were associated with the HPL profile. The RS genotype could not be associated with any particular profile. Our results show that allele ISAG *0902 appears to be the best BLV resistance marker in Holstein cattle.     

Handling Missing Data in Transmission Disequilibrium Test in Nuclear Families with One Affected Offspring

The Transmission Disequilibrium Test (TDT) compares frequencies of transmission of two alleles from heterozygote parents to an affected offspring. This test requires all genotypes to be known from all members of the nuclear families. However, obtaining all genotypes in a study might not be possible for some families, in which case, a data set results in missing genotypes. There are many techniques of handling missing genotypes in parents but only a few in offspring. The robust TDT (rTDT) is one of the methods that handles missing genotypes for all members of nuclear families [with one affected offspring]. Even though all family members can be imputed, the rTDT is a conservative test with low power. We propose a new method, Mendelian Inheritance TDT (MITDT-ONE), that controls type I error and has high power. The MITDT-ONE uses Mendelian Inheritance properties, and takes population frequencies of the disease allele and marker allele into account in the rTDT method. One of the advantages of using the MITDT-ONE is that the MITDT-ONE can identify additional significant genes that are not found by the rTDT. We demonstrate the performances of both tests along with Sib-TDT (S-TDT) in Monte Carlo simulation studies. Moreover, we apply our method to the type 1 diabetes data from the Warren families in the United Kingdom to identify significant genes that are related to type 1 diabetes.     

Influence of salmonid gill bacteria on development and severity of amoebic gill disease

The relationship between salmonid gill bacteria and Neoparamoeba sp., the aetiological agent of amoebic gill disease (AGD) was determined in vivo. Fish were divided into 4 groups and were subjected to following experimental infections: Group 1, amoebae only; Group 2, Staphylococcus sp. and amoebae; Group 3, Winogradskyella sp. and amoebae; Group 4, no treatment (control). Fish (Groups 1, 2 and 3) were exposed to potassium permanganate to remove the natural gill microflora prior to either bacterial or amoebae exposure. AGD severity was quantified by histological analysis of gill sections to determine the percentage of lesioned filaments and the number of affected lamellae within each lesion. All amoebae infected groups developed AGD, with fish in Group 3 showing significantly more filaments with lesions than other groups. Typically lesion size averaged between 2 to 4 interlamellar units in all AGD infected groups. The results suggest that the ability of Neoparamoeba sp. to infect filaments and cause lesions might be enhanced in the presence of Winogradskyella sp. The possibility is proposed that the prevalence of more severe AGD is due to the occurrence of Winogradskyella sp. at high concentrations on the gills.     

Reconstructing parental genotypes when testing for linkage in the presence of association

Various family-based association methods have recently been proposed that allow testing for linkage in the presence of linkage disequilibrium between a marker and a disease even if there is only incomplete parental-genotype information. For some families, it may be possible to reconstruct missing parental genotypes from the genotypes of their offspring. Treating such a reconstructed family as if parental genotypes have been typed, however, can introduce bias. The reconstruction-combined transmission/disequilibrium test (RC-TDT) and its X-chromosomal counterpart, XRC-TDT, employ parental-genotype reconstruction and correct for the biases involved in this reconstruction without relying on population marker allele frequencies. For the two tests, exact P values can be obtained by numerically calculating the convolution of the null distributions corresponding to the families in the sample.     

中国汉族个体HLA-A、-B基因全长序列的测定及调控区多态性

文章利用20个中国汉族个体样本建立了稳定精确的HLA-A、-B基因全长序列的克隆测序方法, 获得HLA-A 10个等位基因4.2 kb序列, HLA-B 6个等位基因3.7 kb序列, 序列涵盖了两个基因的所有外显子、所有内含子、5′启动子区以及3′非翻译区(3′UTR)。A*1153是文章发现的一个新等位基因, B*151101的内含子序列、5个HLA-A以及2个HLA-B等位基因的5′启动子序列和3′UTR序列为国际上首次报道, 其他等位基因均延伸了IMGT/HLA数据库中释放的全长序列。文章首次在中国汉族个体中测定了IMGT/HLA数据库中没有覆盖的HLA-A、-B基因的上游5′启动子以及下游3′UTR区域的多态性模式。HLA-A基因5′启动子延伸区域共发现26个SNPs和一处3 bp(AAA/-)的插入/缺失, 3′UTR延伸区域共发现14个SNPs; HLA-B基因5′启动子延伸区域共发现5个SNPs和一处1 bp(T/-)的插入/缺失, 3′UTR延伸区域共发现8个SNPs。通过对两个基因的5′启动子、外显子以及3′UTR的系统发育树分析, 发现两个基因调控区与外显子的进化关系有所不同, HLA-A基因除A*24020101外, 其他等位基因两端调控区与外显子连锁比较紧密, HLA-B基因两端调控区与外显子之间则发生了较为频繁的重组事件。     

Population genetic analysis of Helicobacter pylori by multilocus enzyme electrophoresis: extensive allelic diversity and recombinational population structure.

Genetic diversity and relationships in 74 Helicobacter pylori isolates recovered from patients assigned to distinct clinical categories were estimated by examination of allelic variation in six genes encoding metabolic housekeeping enzymes by multilocus enzyme electrophoresis. Seventy-three distinct allele profiles, representing multilocus chromosomal genotypes, were identified. All six loci were highly polymorphic, with an average of 11.2 alleles per locus. The mean genetic diversity in the sample was 0.735, a value that exceeds the level of diversity recorded in virtually all bacterial species studied by multilocus enzyme electrophoresis. A high frequency of occurrence of null alleles (lack of enzyme activity) was identified and warrants further investigation at the molecular level. Lack of linkage disequilibrium (nonrandom association (of alleles over loci) indicates that horizontal transfer and recombination of metabolic enzyme genes have contributed to the generation of chromosomal diversity in H. pylori. In this sample of isolates, there was no statistically significant association of multilocus enzyme electrophoretic types or cluster of related chromosomal types and disease category.     

Associative overdominance: Evaluating the effects of inbreeding and linkage disequilibrium

Expressions are obtained for the expected phenotypic values of homozygous and heterozygous genotypes for a neutral marker locus linked to a locus segregating for a recessive deleterious gene. The phenotypic values are functions of the allele frequencies at the marker locus, the inbreeding coefficient and the degree of association of the deleterious gene with the marker alleles. The analysis is extended to more than two alleles at the marker locus. Either linkage disequilibrium or inbreeding alone can produce an apparent superiority of heterozygotes for the marker locus (unless specified otherwise, the terms ‘homozygote’ and ‘heterozygote’ will refer to the marker locus). The effect of linkage disequilibrium on the difference between the heterozygote and homozygote values can be positive (associative overdominance) or negative (associative underdominance), depending on the frequencies of the marker alleles and the degree of their association with the deleterious gene. Inbreeding has always a positive effect. In general, the expected value of a homozygote is a positive function of its allele frequency. When the various homozygous genotypes are combined into one class and the various heterozygous genotypes into another, the phenotypic difference of the two classes is a function of the evenness of the allelic frequency distribution. Inbreeding is a more likely explanation of associative overdominance if the frequency of the deleterious gene is low, but its effect on the character high. Conversely, linkage disequilibrium is more likely if the frequency is high and the effect low. The degrees of association between marker alleles and the deleterious gene can, in principle, be estimated from the observed phenotypic scores and used to calculate expected multi-locus genotype scores. This could provide the basis for statistical tests of the associative overdominance hypothesis as an explanation of observed correlations between multi-locus heterozygosity and phenotypic traits.     

Power calculations for the transmission/disequilibrium and affected sib pair tests using elementary probability methods

The transmission/disequilibrium test (TDT) and the affected sib pair test (ASP) both test for the association of a marker allele with some conditions. Here, we present methods for calculating the probability of detecting the association (power) for a study examining a fixed number of families for suitability for the study and for calculating the number of such families to be examined. Both calculations use a genetic model for the association. The model considered posits a bi-allelic marker locus that is linked to a bi-allelic disease locus with a possibly nonzero recombination fraction between the loci. The penetrance of the disease is an increasing function of the number of disease alleles. The TDT tests whether the transmission by a heterozygous parent of a particular allele at a marker locus to an affected offspring occurs with probability greater than 0.5. The ASP tests whether transmission of the same allele to two affected sibs occurs with probability greater than 0.5. In either case, evidence that the probability is greater than 0.5 is evidence for association between the marker and the disease. Study inclusion criteria (IC) can greatly affect the necessary sample size of a TDT or ASP study. IC considered by us include a randomly selected parent at least one parent or both parents required to be heterozygous. It also allows a specified minimum number of affected offspring to be required (TDT only). We use elementary probability calculations rather than complex mathematical manipulations or asymptotic methods (large sample size approximations) to compute power and requisite sample size for a proposed study. The advantages of these methods are simplicity and generality.     

Analysis and Optimization of Bulk DNA Sampling with Binary Scoring for Germplasm Characterization

The strategy of bulk DNA sampling has been a valuable method for studying large numbers of individuals through genetic markers. The application of this strategy for discrimination among germplasm sources was analyzed through information theory, considering the case of polymorphic alleles scored binarily for their presence or absence in DNA pools. We defined the informativeness of a set of marker loci in bulks as the mutual information between genotype and population identity, composed by two terms: diversity and noise. The first term is the entropy of bulk genotypes, whereas the noise term is measured through the conditional entropy of bulk genotypes given germplasm sources. Thus, optimizing marker information implies increasing diversity and reducing noise. Simple formulas were devised to estimate marker information per allele from a set of estimated allele frequencies across populations. As an example, they allowed optimization of bulk size for SSR genotyping in maize, from allele frequencies estimated in a sample of 56 maize populations. It was found that a sample of 30 plants from a random mating population is adequate for maize germplasm SSR characterization. We analyzed the use of divided bulks to overcome the allele dilution problem in DNA pools, and concluded that samples of 30 plants divided into three bulks of 10 plants are efficient to characterize maize germplasm sources through SSR with a good control of the dilution problem. We estimated the informativeness of 30 SSR loci from the estimated allele frequencies in maize populations, and found a wide variation of marker informativeness, which positively correlated with the number of alleles per locus.     

CARD15 and TLR4 genes polymorphisms in atopic bronchial asthma

In order to investigate whether single nucleotide polymorphisms G(+2722)C and 3020insC in CARD15 gene and Asp299Gly in TLR4 gene contribute to atopic bronchial asthma we performed a comparative analysis of alleles and genotypes frequencies of these polymorphisms in Russian patients from Moscow. DNA samples from 283 patients with atopic bronchial asthma and 227 healthy donors were genotyped. There were associations neither of G(+2722)C and 3020insC in CARD15 gene and Asp299Gly in TLR4 gene with asthma nor of markers of CARD15 gene with asthma severity. Haplotype frequency analysis of CARD15 gene polymorphisms did not reveal significant difference between groups. However, a strong association was found between Asp299Gly and asthma severity. Allele Asp of this marker showed association with mild atopic bronchial asthma and allele Gl--with moderate/severe asthma = 0.47, 95% CI [0.24-0.93] i OR = 2.12, 95% CI [1.08-4.18] respectively).     

Accounting for linkage in family-based tests of association with missing parental genotypes

In studies of complex diseases, a common paradigm is to conduct association analysis at markers in regions identified by linkage analysis, to attempt to narrow the region of interest. Family-based tests for association based on parental transmissions to affected offspring are often used in fine-mapping studies. However, for diseases with late onset, parental genotypes are often missing. Without parental genotypes, family-based tests either compare allele frequencies in affected individuals with those in their unaffected siblings or use siblings to infer missing parental genotypes. An example of the latter approach is the score test implemented in the computer program TRANSMIT. The inference of missing parental genotypes in TRANSMIT assumes that transmissions from parents to affected siblings are independent, which is appropriate when there is no linkage. However, using computer simulations, we show that, when the marker and disease locus are linked and the data set consists of families with multiple affected siblings, this assumption leads to a bias in the score statistic under the null hypothesis of no association between the marker and disease alleles. This bias leads to an inflated type I error rate for the score test in regions of linkage. We present a novel test for association in the presence of linkage (APL) that correctly infers missing parental genotypes in regions of linkage by estimating identity-by-descent parameters, to adjust for correlation between parental transmissions to affected siblings. In simulated data, we demonstrate the validity of the APL test under the null hypothesis of no association and show that the test can be more powerful than the pedigree disequilibrium test and family-based association test. As an example, we compare the performance of the tests in a candidate-gene study in families with Parkinson disease.     

The loss of statistical power to distinguish populations when certain samples are ambiguous

Case-control studies are used to map loci associated with a genetic disease. The usual case-control study tests for significant differences in frequencies of alleles at marker loci. In this paper, we consider the problem of comparing two or more marker loci simultaneously and testing for significant differences in haplotype rather than allele frequencies. We consider two situations. In the first, genotypes at marker loci are resolved into haplotypes by making use of biochemical methods or by genotyping family members. In the second, genotypes at marker loci are not resolved into haplotypes, but, by assuming random mating, haplotypes can be inferred using a likelihood method such as the expectation-maximization (EM) algorithm. We assume that a causative locus has two alleles with a multiplicative effect on the penetrance of a disease, with one allele increasing the penetrance by a factor pi. We find, for small values of pi-1 and large sample sizes, asymptotic results that predict the statistical power of a test for significant differences in haplotype frequencies between cases and a random sample of the population, both when haplotypes can be resolved and when haplotypes have to be inferred. The increase in power when haplotypes can be resolved can be expressed as a ratio R, which is the increase in sample size needed to achieve the same power when haplotypes are resolved over when they are not resolved. In general, R depends on the pattern of linkage disequilibrium between the causative allele and the marker haplotypes but is independent of the frequency of the causative allele and, to a first approximation, is independent of pi. For the special situation of two di-allelic marker loci, we obtain a simple expression for R and its upper bound.