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Incorporating endophenotypes into allele-sharing based linkage tests.

For a genetic study in which there are concordant and discordant sibpairs for a complex disease trait and the measurements of other endophenotypes/intermediate phenotypes for each of the individuals are also available, we describe an allele-sharing based multipoint linkage test that utilizes nonparametrically the additional endophenotypes/intermediate phenotypes. The usefulness of this method is evaluated in simulation studies, which show that the gain in power is influenced by not only the endophenotypic value but also the correlation between the diagnosis-based phenotype and the endophenotype. In addition to reporting p values, our method also provides an index C(E), derived from the coefficients of the weight function associated with the endophenotype in the proposed statistic, to indicate the relevance of a specific endophenotype/intermediate phenotype in the genetic study. The simulation study indicates that a larger power, in general, corresponds to a larger value of the index C(E). The index C(E) is thus suggested as a quantity to be used in the choice of endophenotypes in linkage study. Data from the Stanford Asian Pacific Program in Hypertension and Insulin Resistance (SAPPHIRe) are used to illustrate the method.

Adult↗

Development of an I-Ag7-expressing antigen-presenting cell line: intrinsic molecular defect in compact I-Ag7 dimer generation.

Insulin-dependent diabetes mellitus (IDDM) results from chronic, T-cell dependent, autoimmune destruction of the insulin-producing beta-cells in the Langerhans' islets of the pancreas. Non-obese diabetic (NOD) mice spontaneously develop IDDM that resembles human type I diabetes. The susceptibility to diabetes in the NOD strain is a complex polygenic trait that determines a phenotype of immune alterations. The unique MHC class II molecule expressed by NOD mice (I-Ag7) plays a major role in the development of disease. Recently, it has been reported that I-Ag7 molecules generate a lower proportion of compact alphabeta heterodimers, compared to other haplotypes. However, it is not clear whether this reflects an intrinsic defect of this molecule to bind peptide stably or is the result of abnormal processing and/or peptide loading into the I-Ag7 molecule. Our aim was to develop and characterize a suitable antigen-presenting cell (APC) that expressed I-Ag7 in the context of a non-diabetes-prone antigen processing and presentation machinery. Here, we report the generation of a mouse DAP.3 fibroblast cell line (DAP.3Ag7) that constitutively expresses high levels of I-Ag7. Using DAP.3 cells transfected with I-Ag7 or I-Ak, we show that the expression of compact dimers in the same cell type is proportionally less for I-Ag7 molecules than for I-Ak molecules, implying an intrinsic defect of the I-Ag7 molecule as the cause for the low generation of compact dimers. However, DAP.3Ag7 cells are able to process and present antigen, as indicated by I-Ag7-dependent IL-2 production by a GAD67-specific NDO T-cell hybridoma after stimulation with GAD and live, but not fixed, DAP.3Ag7 cells. The IL-2 response to GAD when presented by DAP.3Ag7 was significantly higher than the response to GAD presented by NOD splenocytes. Based on these data, we conclude that the low generations of compact dimers is an intrinsic feature of I-Ag7 molecules and not affected by other genes in the NOD background. The DAP.3Ag7 cell line should be a valuable tool with which to dissect the role of the I-Ag7 molecule in antigen presentation and T-cell activation in NOD mice, which clearly contributes to the development of IDDM.

Animals↗

Fine mapping of the FT1 locus for soybean flowering time using a residual heterozygous line derived from a recombinant inbred line.

Fine-mapping of loci related to complex quantitative traits is essential for map-based cloning. A residual heterozygous line (RHL) of soybean (Glycine max) derived from a recombinant inbred line (RIL) was used for fine-mapping FT1, which is a major quantitative trait locus (QTL) responsible for soybean flowering time. The residual heterozygous line RHL1-156 was selected from the RILs that were derived from two distantly related varieties, Misuzudaizu and Moshidou Gong 503. The genome of RHL1-156 contains a heterozygous segment (approximately 17 cM) surrounding the FT1 locus but is homozygous in other regions, including three other loci affecting flowering time. A large segregating population of 1,006 individuals derived by selfing of RHL1-156 included two homozygous genotypes for the nearest marker of FT1 whose flowering time differed by 26 days. No continuous range of phenotypes was observed, in contrast to the F2 population, suggesting that a single FT1 locus affected the flowering time in the RHL1-156 line. Linkage analysis revealed that the FT1 locus mapped as a single Mendelian factor between two tightly linked DNA markers, Satt365 and GM169, at distances of approximately 0.1 cM and 0.4 cM, respectively. Our results show that a RHL derived from RILs can be used to fine-map a QTL and that RHLs can be an efficient tool for a systematic fine-mapping of QTLs.

Breeding↗

Examination of OLETF-derived non-insulin-dependent diabetes mellitus QTL by construction of a series of congenic rats.

The Otuska Long-Evans Tokushima Fatty (OLETF) rat is one of the well-characterized animal models for the study of type 2 diabetes. Our previous QTL mapping identified 11 loci responsible for non-insulin-dependent diabetes mellitus (NIDDM) susceptibility in the OLETF rat. Here we generated a series of congenic animals by individually introgressing all 11 OLETF-derived NIDDM loci into a normoglycemic F344 background. Subsequent oral glucose tolerance test revealed that the congenic strains for Nidd1/of, Nidd2/of, Nidd3/of Nidd4/of, Nidd7/of, and Nidd10/of showed significantly higher levels of blood glucose in comparison with parental host strain F344. Furthermore, simultaneously made heterozygote animals for Nidd1/of and Nidd2/of did not increase blood glucose levels, indicating that these loci are recessively inherited as predicted by the QTL analysis. Congenic strains for the other five loci-Nidd5/of, Nidd6/of, Nidd8/of, Nidd9/of, and Nidd11/of-were apparently normoglycemic, presumably owing to heterosis or because the effect of these loci may not be detected unless interactions with other OLETF genes exist. We believe that these congenic strains should provide useful agents for decomposing complex diabetic traits and for positional cloning.

Animals↗

A large-sample QTL study in mice: II. Body composition.

Using lines of mice having undergone long-term selection for high and low growth, a large-sample (n = approximately 1,000 F2) experiment was conducted to gain further understanding of the genetic architecture of complex polygenic traits. Composite interval mapping on data from male F2 mice (n = 552) detected 50 QTL on 15 chromosomes impacting weights of various organ and adipose subcomponents of growth, including heart, liver, kidney, spleen, testis, and subcutaneous and epididymal fat depots. Nearly all aggregate growth QTL could be interpreted in terms of the organ and fat subcomponents measured. More than 25% of QTL detected map to MMU2, accentuating the relevance of this chromosome to growth and fatness in the context of this cross. Regions of MMU7, 15, and 17 also emerged as important obesity "hot-spots." Average degrees of directional dominance are close to additivity, matching expectations for body composition traits. A strong QTL congruency is evident among heart, liver, kidney, and spleen weights. Liver and testis are organs whose genetic architectures are, respectively, most and least aligned with that for aggregate body weight. In this study, growth and body weight are interpreted in terms of organ subcomponents underlying the macro aggregate traits, and anchored on the corresponding genomic locations.

Animals↗

A large-sample QTL study in mice: I. Growth.

By use of long-term selection lines for high and low growth, a large-sample (n = approximately 1,000 F2) experiment was conducted in mice to further understand the genetic architecture of complex polygenic traits. In combination with previous work, we conclude that QTL analysis has reinforced classic polygenic paradigms put in place prior to molecular analysis. Composite interval mapping revealed large numbers of QTL for growth traits with an exponential distribution of magnitudes of effects and validated theoretical expectations regarding gene action. Of particular significance, large effects were detected on Chromosome (Chr) 2. Regions on Chrs 1, 3, 6, 10, 11, and 17 also harbor loci with significant contributions to phenotypic variation for growth. Despite the large sample size, average confidence intervals of approximately 20 cM exhibit the poor resolution for initial estimates of QTL location. Analysis with genome-wide and chromosomal polygenic models revealed that, under certain assumptions, large fractions of the genome may contribute little to phenotypic variation for growth. Only a few epistatic interactions among detected QTL, little statistical support for gender-specific QTL, and significant age effects on genetic architecture were other primary observations from this study.

Animals↗

A large-sample QTL study in mice: III. Reproduction.

Using lines of mice having undergone long-term selection for high and low growth, a large-sample (n approximately to 1000 F2) experiment was conducted to gain further understanding of the genetic architecture of complex polygenic traits. Composite interval mapping on data from 10-week-old F2 females (n = 439) detected 15 quantitative trait loci (QTLs) on 5 chromosomes that influence reproduction traits characterized at day 16 of gestation. These QTL are broadly categorized into two groups: those where effects on the number of live fetuses (LF) were accompanied by parallel effects on the number of dead fetuses (DF), and those free of such undesirable effects. QTL for ovulation rate (OR) did not overlap with QTL for litter size, potentially indicating the importance of uterine capacity. Large dominance effects were identified for most QTL detected, and overdominance was also present. The QTL of largest effects were detected in regions of Chromosome 2, where large QTL effects for growth and fatness have also been found and where corroborating evidence from other studies exists. Considerable overlap between locations of QTL for reproductive traits and for growth traits corresponds well with the positive correlations usually observed among these sets of phenotypes. Some support for the relevance of QTL x genetic background interactions in reproduction was detected. Traits with low heritability demand considerably larger sample sizes to achieve effective power of QTL detection. This is unfortunate as traits with low heritability are among those that could most benefit from QTL-complemented breeding and selection strategies in food animal production.

Animals↗

Generation and mapping of Mus spretus strain-specific markers for rapid genomic scanning.

We describe here a set of genetic markers, based on IRS-PCR amplification difference, that are specifically designed for efficient, high throughput genetic mapping in [(M. domesticus x wild-derived) F1 x M. domesticus] interspecific backcrosses. 146 new genetic loci have been mapped, and strain distribution for these markers has been determined in 96 mouse strains. 103 (81%) of 127 tested markers are present only in one or more wild-derived strains, but absent in 76 other commonly used strains, demonstrating their utility in a variety of mouse pair combinations. Because of the ease of genotyping with this marker set, rapid genome scans for complex genetic trait loci involving crosses between wild-derived strains and other commonly used strains can now be carried out efficiently with large numbers of animals.

Animals↗

Genotypic and phenotypic characterization of six new recombinant congenic strains derived from NOD/Shi and CBA/J genomes.

Recombinant Congenic Strains (RCS) are useful for dissecting complex polygenic traits. Here, we describe genetic and phenotypic characterization of six new RCS generated from outcrosses between NOD/Shi and CBA/LsLt, followed by sib mating of first backcross progeny (to CBA) for 20 generations, whereupon genetic and phenotypic analysis commenced. Four of the RCS were selected on the basis of residual heterozygosity present at F20 in one of the three original RCS. Contrary to expectations for RCS developed at first backcross, all derived at least 50% of the polymorphic markers typed from the NOD parental strain. Development of autoimmune insulin-dependent diabetes mellitus (IDDM) in NOD is a strain-specific characteristic. The major genetic component predisposing NOD mice to IDDM, their H2(g7) haplotype, was present in all RCS. Nevertheless, the presence of variable amounts of CBA genome at non-MHC loci conferred complete resistance in all RCS to spontaneous IDDM development, and rendered them strongly resistant to cyclophosphamide-induced IDDM. Although the RCS more resemble NOD in regard to certain strain-specific characteristics, such as prolificacy, an immunologic phenotype that was significantly reduced when compared to both parental strains was the number of peripheral CD8(+) T cells. Given the genetic characterization presented, these new RCS should prove valuable to investigators interested in studying genes controlling differential susceptibilities distinguishing the NOD and CBA inbred strain backgrounds.

Animals↗

Genotyping new BXD recombinant inbred mouse strains and comparison of BXD and consensus maps.

Nine additional BXD recombinant inbred (RI) strains have been developed from the F2 cross of C57BL/6J and DBA/2J mouse strains. A tenth line stopped breeding in the F12 generation. F20 generation breeding pairs from the nine surviving strains and an F12 pair from the extinct line were genotyped at 319 genetic markers (primarily microsatellites) spanning most of the genome. Where typing data were lacking, the established set of 26 BXD strains also were genotyped at these same loci. The availability of these additional nine strains enhances the value of the BXD RI set for analysis of complex phenotypic traits. The proportion of loci still segregating at the F20 generation was found to closely approximate expectation, suggesting that selection favoring the retention of heterozygosity is not a strong factor. However, the number of crossovers between adjacent markers was frequently less than predicted from consensus map distances. A significant deficiency of recombinants was observed on Chrs 3, 4, 14, and X. On Chr 14, the estimated cumulative BXD map distance between the most proximal and distal markers was only 30.2 cM, compared with a distance of 60.0 cM in the consensus map. On the X Chr, the estimated and predicted cumulative distances were 38.8 and 69.5 cM, respectively. Over all chromosomes, the BXD RI map is 14.5% shorter than predicted from the consensus map. It is suggested that distances in some of the consensus maps are inflated. Alternatively, recombinant genotypes could be selected against during inbreeding owing to allelic interactions affecting fitness. The latter interpretation implies that relatively strong intrachromosomal epistasis is common.

Animals↗

Whole-organism studies of adhesion in pad-bearing lizards: creative evolutionary solutions to functional problems.

Understanding the evolution of complex functional traits is a challenge for evolutionary physiology. Here we investigate the evolution of subdigital toepads in lizards, which have arisen independently at least three times, although with subtle anatomical differences. Some designs (anole, gecko) appear functionally equivalent, whereas other designs (skink) are inferior. The functional equivalence of geckos and anoles highlights the creative aspect of the evolutionary process in that these two groups have arrived at the same functional endpoint along very different trajectories. However, this functional equivalence does not result in equivalence for performance at whole-organism tasks (e.g., running uphill), as the evolution of behavior (e.g., toe-furling) has enabled geckos to be superior climbers than anoles. We also show that adaptive increases in the toepad size within a closely related lizard genus (Anolis) has resulted in concomitant evolution of enhanced clinging ability and increased perch heights. A third insight is that pad-bearing geckos are capable of carrying tremendous loads (up to 250% of body weight) up smooth surfaces, and that the toepad itself does not appear limiting. This comparative and whole-organism approach to lizard toepads underscores how organisms can evolve multiple solutions to evolutionary problems.

Adaptation, Physiological↗

A comparative study highlights superiority of LSTM in crop genomic prediction.

We systematically evaluated three key determinants affecting prediction accuracy and the algorithm performance differences based on fifteen state-of-the-art GP methods, and found LSTM suitable for capturing additive and epistatic effects. Genomic prediction (GP) has been developed as an important method supporting crop breeding. By utilizing the phenotype values result from GP, breeders could make decisions in the seedling stage that consequently benefit for cost saving. In recent years, machine learning emerged as an efficient technology to solve modeling problems in many fields, including crop breeding. However, numerous modeling approaches have hindered the application of GP since breeders struggle to choose. Therefore, a comprehensively methodological research with guiding significance is extremely necessary. In the present study, we systematically evaluated three key determinants affecting prediction accuracy and the algorithm performance differences based on fifteen state-of-the-art GP methods. As for genomic feature processing, we found feature selection (SNP filtering approach) performed better than feature extraction (PCA method). Specifically, the feature relationship dependent methods (GBLUP, RNN, and LSTM) as well as DNN architecture showed superior performance with feature selection. Marker density analysis showed positive correlation with prediction accuracy in a limited threshold. Comparison on effect of population size demonstrated a positive correlation between trait genetic complexity and the optimal population size required. By testing fifteen modeling methods, we found LSTM network displayed superior performance, achieving the highest average STScore (0.967) across six datasets. Further research using all cell states or the latest cell states of LSTM inputs demonstrated its architecture particularly adept with capturing additive and epistatic QTL effects among SNPs. In conclusion, our findings provide basic principles for implementing GP in breeding project to maximize prediction accuracy while maintaining cost-effectiveness.

Plant Breeding↗

Linkage disequilibrium between GABRB3 gene and nonsyndromic familial cleft lip with or without cleft palate.

The malformation of nonsyndromic cleft lip with or without cleft palate (CL/P) is a common congenital disease that affects approximately 1/1000 newborns in Caucasian populations. Genetic studies indicate that CL/P has the characteristics of a complex genetic trait. Linkage analysis and mouse-model knockout studies have suggested several candidate genes mapping in different chromosome regions for CL/P malformation. On these grounds, we have investigated, by linkage disequilibrium (LD) and parametric and nonparametric linkage analyses, five different candidate genes, including those for the beta3 subunit of the gamma-aminobutyric acid receptor (GABRB3), glutamic acid decarboxylase 1 (GAD1), retinoic acid receptor alpha (RARA), transforming growth factor beta3 (TGFB3), and msh ( Drosophila) homeobox homolog 1 (MSX1). Interestingly, a significant LD between GABRB3 and CL/P was obtained ( P-value=0.008 in the allele-wise analysis for multiallelic markers), suggesting that the GABRB3 gene is involved in this congenital disease. This new finding in humans is in agreement with previously reported data obtained with the murine model. Indeed, mouse studies indicate a role for gamma-aminobutyric acid (GABA) and its receptor in normal palate development. Exclusion of the GAD1 gene, which encodes the GABA-producing enzyme, in CL/P pathogenesis was obtained in our study. Moreover, we were unable to confirm the involvement of the MSX1 gene in nonsyndromic CL/P. Modest evidence of LD between marker alleles and CL/P was found at the RARA and TGFB3 loci suggesting a minor role for these genes in our family set of nonsyndromic CL/P.

Cleft Lip↗

Linkage disequilibrium between microsatellite markers in the Swedish Sami relative to a worldwide selection of populations.

The pattern of linkage disequilibrium (LD) is affected by a number of factors, including population demography. High LD is seen in populations with a relatively limited and constant size, presumably because of genetic drift. We have examined the extent of LD among over 300 genome-wide pattern microsatellite loci in 29 populations from around the world. The pattern of LD varied between populations, with a larger extent of LD in populations with limited size relative to larger populations. In addition, the LD between 88 less well-spaced microsatellite markers from 10 different genomic regions was examined in the Sami compared with the general Swedish population. For these markers, increased LD extending up to 5 Mb was detected in the Sami. The amount of LD also differed between the chromosomal regions. The amount of LD in the Sami makes this population suitable for the mapping of complex genetic traits.

Genetic Markers↗

Analysis of the CC chemokine receptor 5 (CCR5) delta-32 polymorphism in inflammatory bowel disease.

The inflammatory bowel diseases (IBD) Crohn's disease (CD) and ulcerative colitis (UC) are complex multifactorial traits involving both environmental and genetic factors. Recent studies have shown the important role of pro-inflammatory cytokines and chemokines, including RANTES, in IBD. RANTES is the natural ligand for the CC-chemokine receptor 5 (CCR5). The chromosomal location of the CCR5 gene on 3p21 coincides with an IBD-susceptibility locus identified by genome-wide scanning. A 32-bp deletion (A32) in the CCR5 gene results in a nonfunctional receptor and is found with high frequency in Caucasians. In this study, we investigated the presence of the CCR5delta32 allele in a large cohort of IBD patients and in a healthy control population. Blood samples were obtained from 538 unselected IBD cases (433 unrelated IBD patients: 289 CD, 142 UC, 2 indeterminate colitis; 105 affected first-degree relatives) and 135 unaffected first-degree family members. Of the IBD patients, 36% had familial IBD with at least two members being affected. There were no significant differences in the CCR5delta32 mutation frequency between IBD patients and healthy controls, nor between CD and UC patients. There was no correlation between the CCR5delta32 genotype and the age at IBD-diagnosis, the frequency of surgical intervention, or disease localization. Only the association between CCR5delta32 homozygosity and the presence of anal lesions in CD patients was statistically significant (P=0.007). Analysis by the transmission/disequilibrium test showed no significant transmission distortion to the probands or their clinically silent siblings. Based on these results, it is unlikely that the CCR5delta32 allele is an important marker for predisposition to IBD.

Adolescent↗

Lessons from an Ukrainian woman with clubbing and back pain.

We present this case that we consider of particular interest in palliative care because of the difficulty we encountered in palliating the patient's symptoms. The difficulties derived, at least in part, from particular personality traits and complex social circumstances. We think this case is an excellent example to demonstrate the complexity of the process of pain and the different resources and techniques that can be used to manage it. We also wish to underline the importance of clinical signs in diagnosis. In fact, this patient showed signs compatible with Pierre-Marie disease (or pulmonary hypertrophic osteoarthropathy, HOA). Finally, we would like to restate a possible link between neoplastic syndromes and the Chernobyl radiation disaster.

Adult↗

A major gene model of adult height is suggested in Chinese.

Adult height (stature), as a complex quantitative trait, has been studied in different populations. However, few genetic studies on height were performed on the Chinese, the largest population in the world. In this study, familial correlation and segregation analyses were carried out for adult height in a Chinese sample composed of 385 nuclear families with a total of 1,169 informative individuals. The results suggest that a major gene with a recessive effect accounts for about 17.2% of the total adult height variation in the Chinese. Significant familial residual effects are found. The heritability (+/-SE) of height is estimated to be 0.647 (+/-0.122). This study, for the first time, provides evidence for the high degree of genetic determination of adult height in the Chinese population and furnishes a valuable reference for further mapping and identification of adult height genes in the Chinese.

Adult↗

An algorithm for model construction and its applications to pharmacogenomic studies.

A model depicts the relationship between clinical phenotypes and genotypes on a set of genetic polymorphisms. After the model is constructed and validated, it may be used to predict clinical phenotypes such as traits of complex diseases. A pharmacogenomic model is used to predict the efficacies or adverse drug reactions of a medication. The construction of a model is a challenging task. This is because a single-locus polymorphism does not contain enough information to stratify patients in general, given the complex biological mechanisms involved. An exhaustive search for the correct combination of genotypes across multiple loci is, however, computationally infeasible. We are, thus, motivated to propose a novel algorithm for the construction of models using the multiple single-nucleotide polymorphism (SNP) information in diplotype forms. This algorithm utilizes the techniques of genetic algorithms and Boolean algebra (GABA). The proposed algorithm is tested on simulated data, as well as real genotype datasets of chronic hepatitis C patients treated with interferon-combined therapy. A model for predicting the treatment efficacy is constructed and validated. The results showed that the proposed algorithm is very effective in deriving models comprising multiple SNPs.

Algorithms↗