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At least 235 records · Page 13Linked to original sources
PubMed2006

Polygenic control of Caenorhabditis elegans fat storage.

Tubby mice and individuals with Bardet-Biedl syndrome have defects in ciliated neuron function and obesity, suggesting an as-yet unknown metabolic signaling axis from ciliated neurons to fat storage tissues. Here we show coordinate regulation of Caenorhabditis elegans fat storage by orthologues of these genes acting in ciliated neurons and by a 3-ketoacyl-coA thiolase (encoded by kat-1) that acts in fat storage tissue. A genetic screen for markedly enhanced fat storage in tub-1 mutants led to the isolation only of kat-1 alleles, which impair fatty acid beta-oxidation. kat-1 acts in the intestine, the major C. elegans fat storage tissue, and is transcriptionally upregulated in animals with high fat storage. A genetic screen for synergistic increase in fat storage of a kat-1 mutant identified bbs-1. bbs-1 acts in 15 ciliated neurons that are poised to sense external and internal nutrient levels, supporting a model in which bbs-1 and tub-1 in ciliated neurons form part of an ancient, conserved neuroendocrine axis. This pathway also includes genes encoding intraflagellar transport proteins and cyclic nucleotide gated channels, demonstrating that C. elegans fat storage is under polygenic control.

Acetyl-CoA C-Acyltransferase↗
PubMed2002

Polygenic susceptibility to breast cancer and implications for prevention.

The knowledge of human genetic variation that will come from the human genome sequence makes feasible a polygenic approach to disease prevention, in which it will be possible to identify individuals as susceptible by their genotype profile and to prevent disease by targeting interventions to those at risk. There is doubt, however, regarding the magnitude of these genetic effects and thus the potential to apply them to either individuals or populations. We have therefore examined the potential for prediction of risk based on common genetic variation using data from a population-based series of individuals with breast cancer. The data are compatible with a log-normal distribution of genetic risk in the population that is sufficiently wide to provide useful discrimination of high- and low-risk groups. Assuming all of the susceptibility genes could be identified, the half of the population at highest risk would account for 88% of all affected individuals. By contrast, if currently identified risk factors for breast cancer were used to stratify the population, the half of the population at highest risk would account for only 62% of all cases. These results suggest that the construction and use of genetic-risk profiles may provide significant improvements in the efficacy of population-based programs of intervention for cancers and other diseases.

Breast Neoplasms↗
PubMed2004

The M16 mouse: an outbred animal model of early onset polygenic obesity and diabesity.

OBJECTIVE: To characterize the phenotypic consequences of long-term selective breeding for rapid weight gain, with an emphasis on obesity and obesity-induced diabetes (diabesity). RESEARCH METHODS AND PROCEDURES: M16 is the result of long-term selection for 3- to 6-week weight gain from an ICR base population. Experiment 1 characterized males from both lines for body weights (3, 6, and 8 weeks), feed (4 to 8 weeks) and H(2)O (6 to 8 weeks) consumption, and heat loss, body composition, and levels of several plasma proteins at 8 weeks of age. Experiment 2 characterized differences between lines for both sexes at three ages (6, 8, and 16 weeks) and fed two diets (high and normal fat). Body weight, composition, blood glucose, and plasma insulin and leptin levels were evaluated after an 8-hour fast. RESULTS: At all ages measured, M16 mice were heavier, fatter, hyperphagic, hyperinsulinemic, and hyperleptinemic relative to ICR. M16 males and females were hyperglycemic relative to ICR, with 56% and 22% higher fasted blood glucose levels at 8 weeks of age. DISCUSSION: M16 mice represent an outbred animal model to facilitate gene discovery and pathway regulation controlling early onset polygenic obesity and type 2 diabetic phenotypes. Phenotypes prevalent in the M16 model, with obesity and diabesity exhibited at a young age, closely mirror current trends in human populations.

Animals↗
PubMed2026

Osteoporosis genetic risk prediction using bone mineral density polygenic scores in Japanese: TMM CommCohort study.

Osteoporosis and fractures are major health concerns. We developed and validated a polygenic score (PGS) for quantitative ultrasound (QUS)-defined osteoporosis risk in Japanese individuals using heel QUS-derived T-scores. Genome-wide association study summary statistics from up to 10,794 participants in the Tohoku Medical Megabank Community-Based Cohort identified genome-wide significant loci, including MBL2, TMEM135, and WNT16. PGS models were constructed and evaluated using independent datasets for model selection (n = 1419) and validation (n = 8711). Adding the PGS to age and sex yielded only modest improvements in discrimination, whereas PGS quintiles supported genetic risk stratification. Compared with the intermediate group, individuals in the lowest PGS quintile had higher odds of the outcome (1.22, 95% confidence interval [CI]: 1.07-1.40), whereas those in the highest quintile had lower odds (0.85, 95% CI: 0.74-0.98). During prospective follow-up (mean 3.5 years), a similar gradient was observed, with higher incidence rate ratios in the lowest quintile (1.42, 95% CI: 1.17-1.73) and lower incidence rate ratios in the highest quintile (0.70, 95% CI: 0.54-0.89). No statistically significant interaction between age and PGS was observed, and age-T-score regression analyses showed no differences in age-related T-score decline across genetic risk groups. However, analyses in young adults (20-44 years) and extrapolation to age 20 suggested lower bone status around peak bone mass in individuals at high genetic risk for QUS-defined osteoporosis. These findings suggest that a Japanese-specific PGS may help identify individuals at elevated genetic risk earlier in adulthood.

Journal Article↗
PubMed2022

Polygenic heterogeneity in antidepressant treatment and placebo response.

The genetic architecture of antidepressant response is poorly understood. Polygenic risk scores (PRS), exploration of placebo response and the use of sub-scales might provide insights. Here, we investigate the association between PRSs for relevant complex traits and response to vortioxetine treatment and placebo using clinical scales, including sub-scales and self-reported assessments. We collected a clinical test sample of Major Depressive Disorder (MDD) patients treated with vortioxetine (N = 907) or placebo (N = 455) from seven randomized, double-blind, clinical trials. In parallel, we obtained data from an observational web-based study of vortioxetine-treated patients (N = 642) with self-reported response. PRSs for antidepressant response, psychiatric disorders, and symptom traits were derived using summary statistics from well-powered genome-wide association studies (GWAS). Association tests were performed between the PRSs and treatment response in each of the two test samples and empirical p-values were evaluated. In the clinical test sample, no PRSs were significantly associated with response to vortioxetine treatment or placebo following Bonferroni correction. However, clinically assessed treatment response PRS was nominally associated with vortioxetine treatment and placebo response given by several secondary outcome scales (improvement on HAM-A, HAM-A Psychic Anxiety sub-scale, CPFQ & PDQ), (P ≤ 0.026). Further, higher subjective well-being PRS (P ≤ 0.033) and lower depression PRS (P = 0.01) were nominally associated with higher placebo response. In the self-reported test sample, higher schizophrenia PRS was significantly associated with poorer self-reported response (P = 0.0001). The identified PRSs explain a low proportion of the variance (1.2-5.3%) in placebo and treatment response. Although the results were limited, we believe that PRS associations bear unredeemed potential as a predictor for treatment response, as more well-powered and phenotypically similar GWAS bases become available.

Humans↗
PubMed2026

A multiancestry polygenic risk score for Alzheimer's disease is associated with cognitive decline and neuropathological hallmarks in diverse populations.

Previously derived polygenic risk scores (PRSs) for Alzheimer's disease (AD) perform inconsistently across diverse ancestries. We developed an APOE-independent multiancestry AD PRS using genome-wide association study summary statistics applied to European ancestry, African American, Caribbean Hispanic and East Asian cohorts. PRS performance was evaluated in a large independent multiancestry dataset and validated in several additional multiancestry cohorts. The PRS was significantly associated with AD in European ancestry, African American, Caribbean Hispanic and Native American Hispanic groups with adjusted odds ratios between 1.14 and 1.52 per PRS standard deviation. PRS performance was validated in the replication cohorts (odds ratios: 1.21-1.65). The PRS was also associated with poorer memory, executive function and language performance, greater AD-related neuropathological burden, reduced hippocampal volume, lower cerebrospinal fluid amyloid-β42 and elevated total tau and phosphorylated tau, with stronger phosphorylated tau associations observed in women. Our findings support the value of ancestry-aware PRSs as a component of broader multimodal risk stratification frameworks.

Aged↗
PubMed2025

Polygenic prediction of body mass index and obesity through the life course and across ancestries.

Polygenic scores (PGSs) for body mass index (BMI) may guide early prevention and targeted treatment of obesity. Using genetic data from up to 5.1 million people (4.6% African ancestry, 14.4% American ancestry, 8.4% East Asian ancestry, 71.1% European ancestry and 1.5% South Asian ancestry) from the GIANT consortium and 23andMe, Inc., we developed ancestry-specific and multi-ancestry PGSs. The multi-ancestry score explained 17.6% of BMI variation among UK Biobank participants of European ancestry. For other populations, this ranged from 16% in East Asian-Americans to 2.2% in rural Ugandans. In the ALSPAC study, children with higher PGSs showed accelerated BMI gain from age 2.5 years to adolescence, with earlier adiposity rebound. Adding the PGS to predictors available at birth nearly doubled explained variance for BMI from age 5 onward (for example, from 11% to 21% at age 8). Up to age 5, adding the PGS to early-life BMI improved prediction of BMI at age 18 (for example, from 22% to 35% at age 5). Higher PGSs were associated with greater adult weight gain. In intensive lifestyle intervention trials, individuals with higher PGSs lost modestly more weight in the first year (0.55 kg per s.d.) but were more likely to regain it. Overall, these data show that PGSs have the potential to improve obesity prediction, particularly when implemented early in life.

Adolescent↗
PubMed2024

Algorithms for the identification of prevalent diabetes in the All of Us Research Program validated using polygenic scores.

The All of Us Research Program (AoU) is an initiative designed to gather a comprehensive and diverse dataset from at least one million individuals across the USA. This longitudinal cohort study aims to advance research by providing a rich resource of genetic and phenotypic information, enabling powerful studies on the epidemiology and genetics of human diseases. One critical challenge to maximizing its use is the development of accurate algorithms that can efficiently and accurately identify well-defined disease and disease-free participants for case-control studies. This study aimed to develop and validate type 1 (T1D) and type 2 diabetes (T2D) algorithms in the AoU cohort, using electronic health record (EHR) and survey data. Building on existing algorithms and using diagnosis codes, medications, laboratory results, and survey data, we developed and implemented algorithms for identifying prevalent cases of type 1 and type 2 diabetes. The first set of algorithms used only EHR data (EHR-only), and the second set used a combination of EHR and survey data (EHR+). A universal algorithm was also developed to identify individuals without diabetes. The performance of each algorithm was evaluated by testing its association with polygenic scores (PSs) for type 1 and type 2 diabetes. We demonstrated the feasibility and utility of using AoU EHR and survey data to employ diabetes algorithms. For T1D, the EHR-only algorithm showed a stronger association with T1D-PS compared to the EHR + algorithm (DeLong p-value = 3 × 10-5). For T2D, the EHR + algorithm outperformed both the EHR-only and the existing T2D definition provided in the AoU Phenotyping Library (DeLong p-values = 0.03 and 1 × 10-4, respectively), identifying 25.79% and 22.57% more cases, respectively, and providing an improved association with T2D PS. We provide a new validated type 1 diabetes definition and an improved type 2 diabetes definition in AoU, which are freely available for diabetes research in the AoU. These algorithms ensure consistency of diabetes definitions in the cohort, facilitating high-quality diabetes research.

Humans↗
PubMed2006

Epigenetics as a mechanism driving polygenic clinical drug resistance.

Aberrant methylation of CpG islands located at or near gene promoters is associated with inactivation of gene expression during tumour development. It is increasingly recognised that such epimutations may occur at a much higher frequency than gene mutation and therefore have a greater impact on selection of subpopulations of cells during tumour progression or acquisition of resistance to anticancer drugs. Although laboratory-based models of acquired resistance to anticancer agents tend to focus on specific genes or biochemical pathways, such 'one gene:one outcome' models may be an oversimplification of acquired resistance to treatment of cancer patients. Instead, clinical drug resistance may be due to changes in expression of a large number of genes that have a cumulative impact on chemosensitivity. Aberrant CpG island methylation of multiple genes occurring in a nonrandom manner during tumour development and during the acquisition of drug resistance provides a mechanism whereby expression of multiple genes could be affected simultaneously resulting in polygenic clinical drug resistance. If simultaneous epigenetic regulation of multiple genes is indeed a major driving force behind acquired resistance of patients' tumour to anticancer agents, this has important implications for biomarker studies of clinical outcome following chemotherapy and for clinical approaches designed to circumvent or modulate drug resistance.

CpG Islands↗
PubMed1999

Leptin resistance in a polygenic, hyperleptinemic animal model of obesity and NIDDM: Psammomys obesus.

OBJECTIVE: To investigate the effects of leptin administration to Psammomys obesus, a polygenic animal model of obesity and type 2 diabetes mellitus. DESIGN: Longitudinal intervention study utilising three separate leptin treatment protocols lasting 7-14 d. MEASUREMENTS: Body weight and food intake were measured daily, body fat and muscle content were estimated by carcass analysis on completion of the study. Blood glucose, plasma insulin, leptin, triglycerides and cholesterol were measured at baseline and twice each week during the study. RESULTS: Relatively high doses of leptin were required to significantly reduce food intake and body fat content in lean Psammomys obesus, but had no discernible effect on their obese littermates. CONCLUSION: As a species, Psammomys obesus appear to be relatively insensitive to the effects of leptin administration, compared with other rodents. Obese Psammomys obesus are leptin resistant relative to their lean littermates.

Animals↗
PubMed2006

CD18 in monogenic and polygenic inflammatory processes of the skin.

The beta 2 integrin family (CD11/CD18) of leukocyte adhesion molecules plays a key role in inflammation. Absence of the common chain (CD18) leads to leukocyte adhesion deficiency-1 (LAD1) in humans. We here summarize data of two genetically defined mice models of beta 2 integrin deficiency, one with a CD18 null mutation (CD18-/-), and the other one with a hypomorphic CD18 mutation (CD18hypo). Firstly, we focus on the underlying mechanism of a severely impaired wound healing in CD18-/- mice, outlining a scenario in which a defective extravasation and phagocytosis of CD18-/- neutrophils results in delayed myofibroblast-dependent wound contraction owing to a deficient transforming growth factor-beta 1 release. Based on this, we have identified a potential therapy that fully rescued the impaired wound healing in CD18-/- mice. Secondly, we expand on a CD18hyp0 PL/J mouse model closely resembling human psoriasis. Apart from common clinical and pathophysiological features, this psoriasiform dermatitis also depends on the presence of activated CD4+ T cells. We here recapitulate the influence of a reduced CD18 gene expression on T-cell function, also with regard to CD18 gene-dose effects, and its contribution to the pathogenesis of this disease. Taken together, these unique features make this model a valuable tool for investigations into the pathogenesis of human psoriasis--including its polygenic base--and future preclinical studies.

Animals↗
PubMed1984

An inverse relationship between heparin content and antibody response in genetically selected mice. Sex effect and evidence of a polygenic control for skin heparin concentration.

The heparin content of genetically selected mice with high and low antibody response to bacterial antigens is reported. An inverse relationship between antibody titres and concentration of heparin was observed for both male and female mice. The lower-antibody-responder line contains twice as much heparin as the higher-responder ones. Furthermore, the female mice also contained twice as much heparin as the male mice. Genetic analysis of the parental and interline hybrids has shown a partial dominance for the character 'heparin content' in favour of the high-heparin phenotype and this character appears to be subjected to polygenic control. The possible biological role of heparin and/or mast cells in the surveillance of the organism against some pathogens is discussed in the light of these and other findings.

Animals↗
PubMed2003

Mouse models for genetic dissection of polygenic gastrointestinal diseases.

Many diseases with a major public health impact are the result of complex interactions between environmental factors and multiple genes. In the past decade, methods for genome analysis, in particular quantitative trait locus (QTL) analysis in animal models, were developed to identify and localize the genes responsible for multifactorial (polygenic) diseases; QTL analysis is based on experimental crosses between inbred strains with high and low genetic susceptibility. Recently the genes underlying several QTLs could be cloned successfully. Here we describe the impact of these genomic approaches in mice on our understanding of the multifactorial genetics of three gastrointestinal diseases related to metabolism (cholesterol cholelithiasis), development (gastroschisis), and colorectal cancer. The examples demonstrate how mouse models continue to be an invaluable tool in unravelling complex pathomechanisms and unlocking our understanding of human diseases.

Animals↗
PubMed2003

[Human molecular genetics: from monogenic to polygenic or complex disorders].

Human molecular genetics has successfully identified the genes involved in several monogenic disorders. It now aims at pinpointing the genetic determinants of polygenic or complex traits with a strong genetic component. This constitutes a new challenge. We discuss the methodological and practical aspects of identifying such genes as well as the challenges facing physicians that will have to use efficiently these new diagnostic tools.

Genetic Predisposition to Disease↗
PubMed1970

Selection and polygenic characters.

A mathematical model is developed which describes the effect of selection on polygenic or continuously varying phenotypic characters. For the simplest case the standard deviation of a phenotypic character in a population cannot be greater than radical2beta where beta is the expected deviation of the offspring from the average of the parents' types. This is found to carry over to density-dependent selection, and it indicates that there are limits to the amount of phenotypic diversity, and therefore niche breadth, which a population can maintain. These limits, however, are also subject to selection.

Genetics, Population↗
PubMed1982

Group selection for a polygenic behavioral trait: a differential proliferation model.

Conditions for natural selection to increase a polygenic behavioral trait are derived for a model in which the population is divided into a very large number of partially isolated groups of variable and varying size. Specifically, we consider an altruistic trait that is deleterious to the individual but raises the mean fitness of the group. We assume, for each generation, that all groups have the same proportion of males, k, at the time of migration and that each group contributes Mf females and Mm males to a pool of migrants, from which Mf females and Mm males are randomly parceled out to each group. This assumption ensures that at equilibrium between random drift and a low level of migration and neglecting the small per locus effect of selection, each group has the same expected value of Wright's fixation index, FST = F. AT equilibrium, this is approximately 1/(1 + 4Me), where Me = 2kMf + 2(1 - k)Mm. The trait will increase when (b - c)/c greater than (1-F)/2F=2Me, where b is the expected benefit to the group and c is the expected cost of a unit change in the mean value of the altruistic trait. In particular, the group selection analogue of Hamilton's inequality, c/b less than r, where r is the coefficient of relationship, is obtained. The effect of isolation is enhanced if migration is mainly between adjacent groups and if group splitting is along family lines, as data on population structure of primates seem to indicate.

Altruism↗
PubMed1984

Trypanosome variant-specific glycoproteins: a polygene protein family with multiple folding patterns?

Infection with the African trypanosomes gives rise to relapsing waves of parasitemia in the host. A predominant population of trypanosomes is present in each wave, and such predominant populations are usually serologically distinct from each other. Trypanosomes are covered by an extramembranous, highly antigenic, variant-specific glycoprotein coat that is 15 nm thick. The primary structure of a large portion of the glycoprotein molecule is different in the predominant trypanosome populations of each parasitemic wave. Analysis of the secondary structure potential of five full-length and five partial amino acid sequences of variant-specific glycoproteins from members of the Trypanosoma brucei complex has been carried out. The potentials for alpha-helix, beta-turns, and beta-strand structure have been calculated. A high degree of alpha-helical structure potential is present in all the full-length or partial sequences examined. There is conservation of secondary structure potential in the COOH-terminal 100 amino acids, where both partial and complete conservation of primary amino acid sequence exists. The NH2-terminal regions are rich in alpha-helix potential. However, over large stretches of the middle of the VSG molecules there is wide diversity of secondary structure potential. This suggests that tertiary folding structures may also be different in this region. If these predictions are true, different regions of the variant-specific glycoprotein could be exposed to the solvent in different variant-specific trypanosome serotypes. The implication is that antigenic variation is mediated by a polygene family of glycoproteins containing highly polymorphic regions. These could fold differently and expose different surface regions of the protein to the solvent. This device might reduce immune crossreactivity among members of the variant-specific glycoprotein family.

Amino Acid Sequence↗
PubMed1996

A polygenic mouse model of psoriasiform skin disease in CD18-deficient mice.

Previously, a hypomorphic mutation in CD18 was generated by gene targeting, with homozygous mice displaying increased circulating neutrophil counts, defects in the response to chemically induced peritonitis, and delays in transplantation rejection. When this mutation was backcrossed onto the PL/J inbred strain, virtually all homozygous mice developed a chronic inflammatory skin disease with a mean age of onset of 11 weeks after birth. The disease was characterized by erythema, hair loss, and the development of scales and crusts. The histopathology revealed hyperplasia of the epidermis, subcorneal microabscesses, orthohyperkeratosis, parakeratosis, and lymphocyte exocytosis, which are features in common with human psoriasis and other hyperproliferative inflammatory skin disorders. Repetitive cultures failed to demonstrate bacterial or fungal organisms potentially involved in the pathogenesis of this disease, and the dermatitis resolved rapidly after subcutaneous administration of dexamethasone. Homozygous mutant mice on a (PL/J x C57BL/6J)F1 background did not develop the disease and backcross experiments suggest that a small number of genes (perhaps as few as one), in addition to CD18, determine susceptibility to the disorder. This phenotype provides a model for inflammatory skin disorders, may have general relevance to polygenic human inflammatory diseases, and should help to identify genes that interact with the beta2 integrins in inflammatory processes.

Animals↗