[General and peculiar traits of colchicine and platinum (II) complexes binding with tubulin].
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Antineoplastic Agents↗
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Comparison of sequential and fixed-structure sampling of pedigrees in complex segregation analysis of a quantitative trait.
In designing a study to demonstrate the existence of a major locus for a quantitative trait, an investigator chooses a sampling rule to ascertain pedigrees. The choice of sampling rule can significantly affect the study's power. Here, we compare two types of sampling rules for family studies: fixed-structure rules, in which the same set of relatives are sampled for each proband, and sequential rules, in which the relative or relatives to be sampled next may depend on the trait values of the individuals already observed. We compare fixed-structure and sequential sampling in the setting of extended pedigrees, a quantitative trait, and the genetic mixed model. Using computer simulation, we show that sequential sampling can increase power to detect segregation at a dominant major locus by over 60% in comparison with fixed-structure sampling. Just as important, this substantially increased power is obtained with an easily implemented sampling rule, one that might reasonably be employed in a family study of a quantitative trait.
Alleles↗
Human behavioural genetics of cognitive abilities and disabilities.
Although neither the genome nor the environment can be manipulated in research on human behaviour, some of the new tools of molecular genetics can be brought to bear on human behavioural disorders (e.g. cognitive disabilities) and quantitative traits (e.g. cognitive abilities). The inability to manipulate the human genome experimentally has had the positive effect of focusing attention on naturally occurring genetic variation responsible for behavioural differences among individuals in all their complex multifactorial splendour. Genes in such complex multiple-gene systems are called quantitative trait loci (QTLs), which merge the two worlds of genetic research, quantitative genetics and molecular genetics. Although most genetic research on complex human behaviour has focused on severe mental disorders, cognitive abilities and disabilities may be even more immediately relevant to neuroscience. For example, verbal ability and spatial ability are two of the most heritable cognitive abilities, and reading disability is the first behavioural disability for which replicated QTL linkage has been found. The purpose of this essay is to provide an overview of the genetics of cognitive abilities and disabilities as an example of the impending merger of quantitative genetics and molecular genetics in QTL analysis of complex traits.
Achievement↗
Evolutionary models of quantitative disease risk factors.
Numerous mutations are now known that have significant effects on various phenotypes; many of these mutations are of interest because they influence quantitative risk factors for major diseases. Such diversity raises the question of how much genetic heterogeneity we should expect to find in the effects of alleles, that is, the size of the effects, the number of severe alleles, and their frequency in the population. Can evolutionary models suggest a general pattern? In this article we examine what is currently known about several basic aspects of the problem. These include the distribution of quantitative effects of new mutations on a phenotype, the distribution of allelic effects that would be found in a natural population, and the relationship between these effects and Darwinian fitness. We discuss these issues in light of various models that have been proposed and the existing relevant data. Then we consider how these points relate to the distribution of genetic effects on an important human trait, the cholesterol ratio, an important risk factor for coronary heart disease. The complexities of quantitative traits and inadequacies in the available data prevent definitive models that can directly connect the mutational effects, allelic effects, and fitness distributions from being developed, and we consider how sample limitations and the nonequilibrium of human populations caused by our demographic history make rigorous solutions difficult. However, based on what is currently known, we argue that for human quantitative chronic disease risk factors the nearly neutral models of allelic evolution at single loci probably apply reasonably well. In general, and although much is still speculative, the data available for such risk factors are consistent with these expectations and may enable us to predict many aspects of etiologic heterogeneity for human disease.
Adolescent↗
Genetic linkage analysis of a dichotomous trait incorporating a tightly linked quantitative trait in affected sib pairs.
Many complex diseases are usually considered as dichotomous traits but are also associated with quantitative biological markers or quantitative risk factors. For such dichotomous traits, although their associated quantitative traits may not directly underly the diagnosis of the disease status, if the associated quantitative trait is also linked to the chromosomal regions linked to the dichotomous trait, then joint analysis of dichotomous and quantitative traits should be more efficient than consideration of them separately. Previous studies have focused on the situation when a dichotomous trait can be modeled by a threshold process acting on a single underlying normal liability distribution. However, for many complex disorders, including most psychiatric disorders, diagnosis is generally based on a set of binary or discrete criteria. These traits cannot be modeled on the basis of a threshold process acting on an underlying continuous trait. We propose a likelihood-based method that efficiently combines such a discrete trait and an associated quantitative trait in the analysis, using affected-sib-pair data. Our simulation studies suggest that joint analysis increases the power to detect linkage of dichotomous traits. We also apply the proposed new method to an asthma genome-scan data set and incorporate the total serum immunoglobulin E level in the analysis.
Asthma↗
Renal medullary carcinoma in an adolescent with sickle cell trait.
We describe the complex presentation of a patient with renal medullary carcinoma, a newly described entity primarily affecting young patients with sickle cell trait. Renal medullary carcinoma is an aggressive, rapidly destructive tumor associated with a delayed diagnosis and a poor outcome. The most common presenting signs and symptoms include hematuria, abdominal or flank pain, and weight loss. Sickle cell trait as the sole cause of hematuria in young black patients is a diagnosis of exclusion. Hemoglobin electrophoresis, intravenous pyelography, and computed tomography scans should be the minimal studies performed in young black patients with hematuria.
Adolescent↗
Linkage disequilibrium analysis of biallelic DNA markers, human quantitative trait loci, and threshold-defined case and control subjects.
Linkage disequilibrium (LD) mapping has been applied to many simple, monogenic, overtly Mendelian human traits, with great success. However, extensions and applications of LD mapping approaches to more complex human quantitative traits have not been straightforward. In this article, we consider the analysis of biallelic DNA marker loci and human quantitative trait loci in settings that involve sampling individuals from opposite ends of the trait distribution. The purpose of this sampling strategy is to enrich samples for individuals likely to possess (and not possess) trait-influencing alleles. Simple statistical models for detecting LD between a trait-influencing allele and neighboring marker alleles are derived that make use of this sampling scheme. The power of the proposed method is investigated analytically for some hypothetical gene-effect scenarios. Our studies indicate that LD mapping of loci influencing human quantitative trait variation should be possible in certain settings. Finally, we consider possible extensions of the proposed methods, as well as areas for further consideration and improvement.
Alleles↗
Elevated temperature during reproductive development affects cone traits and progeny performance in Picea glauca x engelmannii complex.
Two temperature regimes were applied during reproductive development of seed and pollen cones of interior spruce (Picea glauca (Moench) Voss and Picea engelmannii (Parry) complex) to determine temperature effects on the adaptive traits of progeny. In Experiment 1, identical crosses were made on potted interior spruce using untreated pollen followed by exposure to a day/night temperature of 22/8 or 14/8 degrees C with a 12-h photoperiod during the stages of reproductive development from post-pollination to early embryo development. Frost hardiness and growth of progeny from seed produced in the two temperature treatments were measured over a 4-year period. Elevated temperature significantly affected both seed-cone development and the adaptive properties of the progeny. Seed cones exposed to the 22/8 degrees C treatment reached the early embryo stage in 53 days versus 92 days in the 14/8 degrees C treatment. Seed yields, cotyledon emergence and percent germination were also significantly enhanced by the 22/8 degrees C treatment. Progeny from seed produced in the higher temperature treatment showed significantly reduced spring and fall frost hardiness, but the elevated temperature treatment had no significant effects on time of bud burst, growth patterns or final heights. In Experiment 2, single ramets of the same clone were subjected to a day/night temperature of 20/8 or 10/8 degrees C during pollen cone development, starting from meiosis and ending at pollen shedding. The two populations of pollen were then crossed with untreated seed cones. Compared with pollen cones exposed to the 10/8 degrees C treatment, pollen cones exposed to the 20/8 degrees C treatment during development reached the shedding stage 2-4 weeks earlier, whereas pollen yields, in vitro viability and fertility (seed set) were significantly lower; however, the resulting progeny displayed no treatment differences in frost hardiness or growth after 1 year. Results suggest that seed orchard after-effects could be caused by temperature differences between orchard site and parent tree origin and that this effect acts on maternal development. Gametophytic (pollen or megagametophyte or both) and early embryo (sporophytic) selection are possible mechanisms that may explain the observed results. Although the effects are biologically significant, they are relatively small and do not justify changes in current deployment strategies for seed orchard seed.
Hot Temperature↗
Genome-wide association study of body weight and body size traits in Langya hens.
Langya chicken is a Chinese indigenous chicken breed with high genetic diversity. To systematically analyse the genetic basis of body size traits, eight traits (including BW, comb shape, and body size) of 2 952 Langya hens were measured at 130 days of age and at first egg of age. A total of 9 708 856 high-quality single-nucleotide polymorphisms (SNPs) were obtained through whole-genome resequencing and used for subsequent genetic parameter estimation and genome-wide association study (GWAS). The results of genetic parameter analysis revealed significant differences in the SNP heritability of different body size traits, with an overall range of 0.13-0.64. In particular, BW, comb length, comb height, and tibia length exhibited moderate-to-high heritability (0.34-0.64) during both developmental stages. GWAS revealed significantly associated SNP loci distributed across multiple chromosomal regions, indicating that body size traits have a complex multilocus genetic regulatory structure and that some chromosomal regions recur for different body size traits and during different developmental stages, showing potential pleiotropic effects or shared genomic regions. Notably, multiple stable body size trait-associated regions were identified on Gallus gallus autosome (GGA) 1, 4, and 27, including genomic regions on GGA1 (167.56-178.18 Mb), GGA4 (68.24-81.17 Mb), and GGA27 (5.22-6.73 Mb), in which significantly associated signals were repeatedly detected for multiple body size traits, such as BW and tibia length. The significant SNPs in the above regions were characterised by strong linkage disequilibrium and were associated with multiple body size traits, indicating that these SNPs may serve as important genetic hotspots for the regulation of chicken body shape and structure. Candidate genes annotated in these core regions include NCAPG, KPNA3, LDB2, PPARGC1A, FNDC3A, SOST, RB1, STON2, and TARP; the functions of these genes are involved mainly in the regulation of cell proliferation, energy metabolism, bone development, and tissue growth. NCAPG was consistently associated with multiple traits at both developmental stages. Functional enrichment analysis further revealed that these candidate genes were significantly enriched in the phosphatidylinositol, GnRH, energy metabolism, skeletal development and protein biosynthesis signalling pathways. The genetic characteristics of Langya chicken body size traits during the growth stage at the genome-wide level and the underlying molecular mechanisms were systematically revealed in this study. The findings provide important candidate gene resources and a theoretical basis for the screening of molecular markers for body size traits and the genomic breeding of regional chicken breeds.
Candidate genes↗
Mapping the chicken genome.
Most economically important traits are genetically complex and controlled by numerous genes. A quality genetic map is a prerequisite for identifying quantitative trait loci (QTL) that contain the genes involved in these traits. Currently, there are two internationally recognized reference families that are used to build genetic maps. In this paper, the East Lansing (EL) genetic map is described in detail. Presently, the EL genetic map contains 617 genetic markers, of which 589 are resolved into 41 linkage groups. The map coverage within linkage groups is over 2,700 cM, which is about the estimated size of the chicken genome. There are 322 microsatellite markers, which greatly enhances the utility of this genetic map for genome-wide QTL searches. Also, 101 genes have been mapped, which will aid in the development of a comparative map. Further efforts to improve the genetic map and the potential for the map to identify QTL are discussed.
Animals↗
An efficient woody plant protoplast platform enables transgene-free multiplex genome editing and rapid trait validation in pear.
Multiplex editing is crucial for analysing complex multiple-gene traits in woody plants, yet its application remains limited because of low transformation efficiency and lengthy regeneration cycles. To overcome these barriers, in this study we establish an efficient protoplast isolation protocol for pear (Pyrus) that employs 1.0% cellulase R10 and 0.4% macerozyme R10 with an 8.5 h digestion. Its broad applicability using different digestion times across seven other economically important woody plants is demonstrated. Coupling a 40% PEG-4000-mediated transfection regimen with DNA-free CRISPR/Cas9 ribonucleoprotein (RNP) delivery enables multiplex genome editing in isolated protoplasts. Using this platform, we simultaneously disrupted the key components of the chloroplast division apparatus ARC3, PARC6, and FtsZ2-1a in Pyrus bretschneideri and found that it consistently reproduced macro-chloroplast abnormalities, confirming effective multigene perturbation within a single cellular context. Notably, failure of chloroplast division activated chloroplast-to-nucleus retrograde signaling, as evidenced by the induction of the nuclear stress-response genes RBOHD and ZAT12, a concomitant surge in reactive oxygen species, and progression to severe cellular deformation. Thus, our study establishes a rapid, cross-genus protoplast-RNP workflow that enables DNA-free multiplex editing and accelerates genotype-to-phenotype analyses in woody perennials. The approach provides a practical foundation for functional genomics and supports advances in non-transgenic precision breeding of tree crops.
Protoplasts↗
Complex segregation analysis accounting for GxE of bone mineral density in European pedigrees selected through a male proband with low BMD.
Osteoporosis is a common multifactorial disorder characterized by low bone mass (BMD) and high susceptibility to low-trauma fractures. Family and twin studies have found a strong genetic component in the determination of BMD, but the mode of inheritance of this trait is not yet fully understood. BMD is a complex trait whose expression is confounded by environmental influences and polygenic inheritance. Detection of potential gene-environment interactions is of great interest in the determination of bone health status. Here we have conducted segregation analyses, using the regressive class D models, in a sample of 100 European pedigrees (NEMO) with 713 subjects (524 measured for phenotypes) identified via a male with low BMD values at either the Lumbar Spine or the Femoral Neck. Segregation analyses were conducted on the residuals of LS-BMD and FN-BMD adjusted for gender, age and BMI. We tested for gene-covariate (GxE) interactions, and investigated the impact of significant GxE interactions on segregation results. Without GxE a major effect was found to be marginally significant in LS-BMD and highly significant in FN-BMD. For both traits the Mendelian hypothesis was rejected. Significant Age x gene and BMI x gene interactions were revealed. Accounting for GxE increased statistical evidence for a major factor in LS-BMD, and improved the fit of the data to the Mendelian transmission model for both traits. The best fitting models suggested a codominant major gene accounting for 45% (LS-BMD) and 44% (FN-BMD) of the adjusted BMDs. However, substantial residual correlations were also found, and these remained highly significant after accounting for the major gene.
Adult↗
[The ultrastructural factors of the individual prognosis in rectal cancer in patients following radical surgical treatment].
Multifactorial analysis of the prognostic diagnosis of 39 main clinical, morphological and ultrastructural traits in 109 patients with rectum carcinoma is performed on the basis of computer EC-1045/230 program and algorithmic complex. The optimal complex of the traits is established possessing the maximum information value for prognosis of the 2-, 3- and 5-year survival of patients with this tumour. Three rules are formed for the individual prognosis of a favourable and unfavourable issue of the disease after the radical surgery. The value (in %) of these rules for the prognosis was determined: 79,86 and 92% for the 2-, 3- and 5-year survival, respectively. This is the precision with which one or another prognosis can be predicted.
Adenocarcinoma↗
Evolution by phenotype: a biomedical perspective.
Genes are widely assumed to play a major role in the epidemiology of complex chronic diseases, yet attempts to characterize the genetic architecture of such traits have been frustrating. Understanding that evolution works by screening phenotypes rather than genotypes can help explain the source of this frustration. Complex traits are usually the result of long-term, often subtle, gene-environment interactions, such that individual life histories may be as important as population histories in predicting and explaining these traits. Recognizing that the problem is not due to technological limitations can help temper expectations and guide the design of future work in biomedical genetics, by allowing us to focus on better approaches where they exist and on those problems most likely to yield a genetic solution. We may even be forced to re-conceive complex biological causation.
Animals↗
Genome-wide Parallelism Underlies Rapid Freshwater Adaptation Fueled by Standing Genetic Variation in a Wild Fish.
A fundamental focus of ecological and evolutionary biology is determining how natural populations adapt to environmental changes. Rapid parallel phenotypic evolution can be leveraged to uncover the genetics of adaptation. Using population genomic approaches, we investigated the genetic architecture underlying rapid parallel freshwater adaptation of Neosalanx brevirostris by comparing four freshwater-resident populations with their common ancestral anadromous population. We demonstrated that the rapid parallel adaptation to freshwater followed a complex polygenic architecture and was characterized by genomic-level parallelism, which proceeded predominantly through repeated selection on the preexisting standing genetic variations. Frequencies of the genome-wide adaptive standing variations were moderate in the ancestral anadromous population, which had pre-adapted to fluctuating salinities. Relatively large allele frequency shifts were observed at some adaptive single-nucleotide polymorphisms (SNPs) during parallel adaptation to freshwater environments, with a large fraction of freshwater-favored alleles being fixed or nearly fixed. These adaptive SNPs were involved in multiple biological functions associated with osmoregulation, immunoregulation, locomotion, metabolism, etc., which were highly consistent with the polygenic architecture of adaptive divergence between the two ecotypes involving multiple complex physiological and behavioral traits. This work provides insight into the mechanisms by which natural populations rapidly evolve to changes in the environment and highlights the importance of standing genetic variation for the evolutionary potential of populations facing global environmental changes.
Animals↗
An update on molecular genetic studies of human personality traits.
Personality is a complex phenotype and people differ considerably when they are evaluated by self-report questionnaires. There is convincing evidence from twin studies that basic personality dimensions in men and women have a considerable genetic component. However, only recently have common genetic polymorphisms been associated with particular personality traits, especially the dopamine D4 receptor with novelty seeking and the serotonin transporter with anxiety-related traits or neuroticism. The current review examines progress in the past few years in molecular personality genetics and focuses on the reasons for difficulties in replicating first findings as well as the prospects for future studies in this area. The molecular genetic structure of human personality is worth studying both for its intrinsic interest in helping us to understand individual differences in human behaviour and the light it will shed on more complex behavioural disorders that are likely to partially share some common genetic variants.
Animals↗
Group sequential study designs in genetic-epidemiological case-control studies.
OBJECTIVE: In past years, the focus of genetic-epidemiological studies has shifted to analyzing complex diseases. Here, single genes often contribute only little to the manifestation of traits so that many probands have to be included in a study to reliably detect small effects. To reduce the number of required phenotypings and genotypings and thus facilitate analyzing complex traits, sequential study designs can be applied. METHODS: For sequential analyses of complex diseases in association studies, we compare the procedure by Sobell et al. (Am J Med Genet 1993;48:28-35) with the adaptation of formal group sequential study designs by Pampallona and Tsiatis (J Stat Plan Inf 1994;42:19-35). Error rates and average sample sizes are investigated by Monte-Carlo simulations. RESULTS: Formal sequential designs have a higher power regardless of underlying genetic effects. In addition, compared with conventional designs with fixed samples, average sample sizes are reduced considerably; under the null hypothesis of no association, up to 50% of the required sample size can be spared. CONCLUSIONS: To increase the efficiency of genetic-epidemiological case-control studies, we recommend using formal group sequential study designs. The tremendous savings in average sample sizes are expected to affect both cost and time spent on large-scale studies.
Case-Control Studies↗
Joint multipoint linkage analysis of multivariate qualitative and quantitative traits. I. Likelihood formulation and simulation results.
We describe a variance-components method for multipoint linkage analysis that allows joint consideration of a discrete trait and a correlated continuous biological marker (e.g., a disease precursor or associated risk factor) in pedigrees of arbitrary size and complexity. The continuous trait is assumed to be multivariate normally distributed within pedigrees, and the discrete trait is modeled by a threshold process acting on an underlying multivariate normal liability distribution. The liability is allowed to be correlated with the quantitative trait, and the liability and quantitative phenotype may each include covariate effects. Bivariate discrete-continuous observations will be common, but the method easily accommodates qualitative and quantitative phenotypes that are themselves multivariate. Formal likelihood-based tests are described for coincident linkage (i.e., linkage of the traits to distinct quantitative-trait loci [QTLs] that happen to be linked) and pleiotropy (i.e., the same QTL influences both discrete-trait status and the correlated continuous phenotype). The properties of the method are demonstrated by use of simulated data from Genetic Analysis Workshop 10. In a companion paper, the method is applied to data from the Collaborative Study on the Genetics of Alcoholism, in a bivariate linkage analysis of alcoholism diagnoses and P300 amplitude of event-related brain potentials.
Chromosome Mapping↗