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Bayesian mapping of quantitative trait loci for complex binary traits.

A complex binary trait is a character that has a dichotomous expression but with a polygenic genetic background. Mapping quantitative trait loci (QTL) for such traits is difficult because of the discrete nature and the reduced variation in the phenotypic distribution. Bayesian statistics are proved to be a powerful tool for solving complicated genetic problems, such as multiple QTL with nonadditive effects, and have been successfully applied to QTL mapping for continuous traits. In this study, we show that Bayesian statistics are particularly useful for mapping QTL for complex binary traits. We model the binary trait under the classical threshold model of quantitative genetics. The Bayesian mapping statistics are developed on the basis of the idea of data augmentation. This treatment allows an easy way to generate the value of a hypothetical underlying variable (called the liability) and a threshold, which in turn allow the use of existing Bayesian statistics. The reversible jump Markov chain Monte Carlo algorithm is used to simulate the posterior samples of all unknowns, including the number of QTL, the locations and effects of identified QTL, genotypes of each individual at both the QTL and markers, and eventually the liability of each individual. The Bayesian mapping ends with an estimation of the joint posterior distribution of the number of QTL and the locations and effects of the identified QTL. Utilities of the method are demonstrated using a simulated outbred full-sib family. A computer program written in FORTRAN language is freely available on request.

Algorithms↗

PrBn, a major gene controlling homeologous pairing in oilseed rape (Brassica napus) haploids.

Precise control of chromosome pairing is vital for conferring meiotic, and hence reproductive, stability in sexually reproducing polyploids. Apart from the Ph1 locus of wheat that suppresses homeologous pairing, little is known about the activity of genes that contribute to the cytological diploidization of allopolyploids. In oilseed rape (Brassica napus) haploids, the amount of chromosome pairing at metaphase I (MI) of meiosis varies depending on the varieties the haploids originate from. In this study, we combined a segregation analysis with a maximum-likelihood approach to demonstrate that this variation is genetically based and controlled mainly by a gene with a major effect. A total of 244 haploids were produced from F(1) hybrids between a high- and a low-pairing variety (at the haploid stage) and their meiotic behavior at MI was characterized. Likelihood-ratio statistics were used to demonstrate that the distribution of the number of univalents among these haploids was consistent with the segregation of a diallelic major gene, presumably in a background of polygenic variation. Our observations suggest that this gene, named PrBn, is different from Ph1 and could thus provide complementary information on the meiotic stabilization of chromosome pairing in allopolyploid species.

Alleles↗

The genetics of idiopathic clubfoot.

Idiopathic clubfoot is an uncommon congenital deformity that clusters in families but does not fit typical Mendelian inheritance patterns. Studies done on twins, different incidences in various ethnic groups, and transmission between generations all suggest a genetic component to clubfoot causation. Complex segregation analysis strongly supports the hypothesis that one major gene is responsible for a large portion of the risk for having a clubfoot. A few studies suggest an environmental causation of clubfoot, but are not persuasive. Clubfoot may be etiologically and/or genetically heterogeneous resulting in its complex inheritance pattern. Alternatively, idiopathic clubfoot may require a predisposing gene acting in a particular background of polygenes or environmental influences. Discovery of the cause or causes of clubfoot will provide improved genetic counseling and the potential for improved treatment, and insights into normal foot and leg development.

Clubfoot↗

Genetic markers in hypercholesterolemic and normocholesterolemic Czech children.

The genetic background of polygenic hypercholesterolemia was studied in hypercholesterolemic children consuming a diet identical to control individuals with low cholesterol concentrations. Significantly higher frequencies of "disadvantage" alleles, usually combined with a higher LDL cholesterol, were found in hypercholesterolemic individuals when polymorphisms in apolipoprotein E, apolipoprotein B--XbaI and LDL receptor--PvuII were studied.

Apolipoproteins B↗

Mapping PrBn and other quantitative trait loci responsible for the control of homeologous chromosome pairing in oilseed rape (Brassica napus L.) haploids.

In allopolyploid species, fair meiosis could be challenged by homeologous chromosome pairing and is usually achieved by the action of homeologous pairing suppressor genes. Oilseed rape (Brassica napus) haploids (AC, n=19) represent an attractive model for studying the mechanisms used by allopolyploids to ensure the diploid-like meiotic pairing pattern. In oilseed rape haploids, homeologous chromosome pairing at metaphase I was found to be genetically based and controlled by a major gene, PrBn, segregating in a background of polygenic variation. In this study, we have mapped PrBn within a 10-cM interval on the C genome linkage group DY15 and shown that PrBn displays incomplete penetrance or variable expressivity. We have identified three to six minor QTL/BTL that have slight additive effects on the amount of pairing at metaphase I but do not interact with PrBn. We have also detected a number of other loci that interact epistatically, notably with PrBn. Our results support the idea that, as in other polyploid species, metaphase I homeologous pairing in oilseed rape haploids is controlled by an integrated system of several genes, which function in a complex manner.

Brassica napus↗

The association between GLP-1R expression and cardiovascular-kidney-metabolic-related diseases in non-diabetic and non-obese population: evidence triangulation using Mendelian randomization, observational and polygenic score association analysis.

BACKGROUND: Glucagon-like peptide-1 receptor (GLP-1R) agonists are emerging as promising therapies for cardiovascular-kidney-metabolic (CKM) related diseases in individuals with type 2 diabetes mellitus (T2DM) or obesity. But their effects in non-obese and non-diabetic individuals are unclear. This study triangulates evidence using Mendelian randomization (MR), polygenic scores (PGS) and observational analyses to estimate the associations of GLP-1R expression with chronic kidney disease (CKD), heart failure (HF) and metabolic dysfunction-associated steatotic liver disease (MASLD). METHODS: For the MR analysis, instruments mimicking GLP-1R expression were identified using pancreas-specific cis-expression quantitative trait loci from GTEx (N ≤ 305). MR-Robust method was used as the primary MR approach. PGS and observational analyses were performed both in non-diabetic and non-obese individuals separately. A genome-wide association study (GWAS) for MASLD (14,231 cases and 348,091 controls) was performed in the general population using data from UK Biobank. RESULTS: GLP-1R expression showed robust effects on CKD (odds ratio [OR] 0.96, 95%CI 0.95 to 0.97, q = 1.7 × 10- 10 ), HF (OR = 0.96, 95%CI 0.94 to 0.97, q = 2.5 × 10- 8) and MASLD (OR = 0.96, 95%CI 0.93 to 0.98, q = 1.3 × 10- 3) in the general population. Consistent results were observed in validation analyses. Furthermore, PGS and observational analyses among non-T2DM and non-obese individuals found little evidence to support its association with CKD, HF or MASLD. GWAS analysis identified eight conditionally independent variants associated with MASLD, in which rs563199662 was a new signal located at TFPI region. CONCLUSIONS: This study provides multilayered evidence for GLP-1R expression in mitigating CKD, HF and MASLD risks in the general population, while de-prioritized its effect on CKM-related diseases in non-obese and non-diabetic individuals. Further clinical trials are needed to validate the effects of GLP-1R agonists in relative health population.

Humans↗

Genetics of Crohn disease, an archetypal inflammatory barrier disease.

Chronic inflammatory disorders such as Crohn disease, atopic eczema, asthma and psoriasis are triggered by hitherto unknown environmental factors that function on the background of some polygenic susceptibility. Recent technological advances have allowed us to unravel the genetic aetiology of these and other complex diseases. Using Crohn disease as an example, we show how the discovery of susceptibility genes furthers our understanding of the underlying disease mechanisms and how it will, ultimately, give rise to new therapeutic developments. The long-term goal of such endeavours is to develop targeted prophylactic strategies. These will probably target the molecular interaction on the mucosal surface between the products of the genome and the microbial metagenome of a patient.

Animals↗

Testosterone and other gonadal factor(s) restrict the efficacy of genes controlling resistance to Plasmodium chabaudi malaria.

The effect of circulating concentrations of testosterone (Te) on resistance to Plasmodium chabaudi malaria was investigated in the H-2 congenic mouse strains C57BL/10, B10.A, B10.A(3R), B10.A(4R), and B10.D2. Te-levels were determined by radioimmunoassay and resistance was expressed in terms of percent self-healers after challenge with 10(6) P. chabaudi-infected erythrocytes. Our data indicate: (i) Females and castrated males reveal very similar interstrain variations of resistance. These do not correlate with the interstrain variations of the Te-levels. This is consistent with the view that resistance to P. chaubaudi is controlled by genes of the H-2 complex and genes of the non-H-2 B10-background, (ii) The polygenic control of resistance is inefficacious at high Te-levels. This is evident as high susceptibilities of males, Te-treated females and Te-treated castrated males. Moreover, high Te-levels correlate with susceptibilities to P. chabaudi within mice of the same sex of a given strain, (iii) B10-males chemically castrated using buserelin display the same low Te-level as those surgically castrated. The latter become resistant, while the former remain as highly susceptible to P. chabaudi as untreated B10-males. Obviously, other gonadal factor(s), besides Te, impose restrictions on genes controlling resistance to P. chabaudi malaria.

Alleles↗

Asymptomatic and mild beta-thalassemia in homozygotes and compound heterozygotes for the IVS2+1G-->A mutation: role of the beta-globin gene haplotype.

BACKGROUND AND OBJECTIVES: We report on two families in which the beta(0)-thalassemia mutation IVS2+1G-->A occurs either in the homozygous or compound heterozygous condition with other beta-thalassemia determinants. In the first family the proband, homozygous for the IVS2+1 determinant, is asymptomatic and was detected by chance during a screening program for beta-thalassemia. In the second family, the proband is a 43-year old female with a very mild thalassemia intermedia due to compound heterozygosity for the IVS2+1G>A and IVS1+110G>A mutations. Her father was diagnosed as having a thalassemic disorder only during the family studies carried out because of the proband's condition. He is a compound heterozygote for the Sicilian type deltabeta(0)-thalassemia and the IVS2+1 mutation and has a normal level of hemoglobin. DESIGN AND METHODS: In both families, the heterozygous carriers of the IVS2+1G>A have unusually elevated levels of fetal hemoglobin (HbF), and the homozygotes showed 98% HbF, reflecting an increased production of well hemoglobinized F-cells not associated with a significant erythroid expansion. RESULTS: The high HbF levels co-segregate with the beta-thalassemia mutation; the size and structure of both pedigrees do not allow the contribution of unlinked genes to the elevated production of HbF to be assessed. INTERPRETATION AND CONCLUSIONS: We propose that the unusual phenotypes resulting from homozygosity and compound heterozygosity for IVS2+1 are, against the background of a polygenic quantitative control of HbF expression, principally due to elements, such as repetitive sequences or single nucleotide polymorphisms, within or closely linked to the beta-gene cluster. These are potentially implicated in chromatin environment modifications, and could, therefore, be responsible for sustained HbF synthesis during development.

Adolescent↗

Errors of inference in the detection of major gene effects on psychological test scores.

Computer simulation methods were employed to generate abilities of 10 sets of 250 nuclear families, each comprising a pair of randomly mated parents and two children. It was assumed that the distribution of abilities in the population was normal and caused entirely by additive polygenic effects. A simulated psychological test was administered to each sample to generate test scores for each subject. A different test, consisting of 40 items of varying difficulty and discriminating power, was used in each sample. The "mixed model," specifying a single major gene with polygenic and environmental background variation, was tested for each data set. Likelihood ratios were computed to test for the contribution of a major locus and its conformity to Mendelian segregation. Only one out of 10 samples was consistent with pure multifactorial inheritance. Of the remaining nine samples, four showed non-Mendelian segregation and five were consistent with current statistical criteria for establishing the contribution of a major gene to variation in psychological test scores. This high frequency of false conclusions suggests that the naïve application of such methods to behavioral data is often likely to be misleading. Raw test scores alone are not sufficient to test the mixed model. The development of tractable models for behavioral traits requires the responses of subjects to individual items.

Adult↗

Enhancing detection of polygenic adaptation: a comparative study of machine learning and statistical approaches using simulated evolve-and-resequence data.

BACKGROUND: Detecting signals of polygenic adaptation remains a significant challenge in population genomics, as traditional methods often struggle to identify the associated subtle, multi-locus allele-frequency shifts. Here, we introduced and tested several novel approaches combining machine learning techniques with traditional statistical tests to detect polygenic adaptation patterns in time-series of allele frequency changes from whole genome data. We implemented a Naive Bayesian Classifier (NBC) and One-Class Support Vector Machines (OCSVM), and compared their performance against the classical Fisher's Exact Test (FET). Furthermore, we combined machine learning and statistical models (OCSVM-FET and NBC-FET), resulting in 5 competing approaches. The framework is mainly designed and validated for evolve-and-resequence (EaR) experimental designs, where defined selection pressures and temporal sampling are feasible, but might be applicable for certain natural experiments as well. RESULTS: Using a simulated dataset based on empirical C. riparius Pool-Seq data, we evaluated methods across evolutionary scenarios varying in generation, selection strength, and number of loci under selection. Our results demonstrate that the combined OCSVM-FET approach consistently outperformed competing methods, achieving the lowest false positive rate, highest area under the curve, and high accuracy. The performance peak aligned with what we term the 'late dynamic phase' of adaptation - the period after initial selection has occurred but before fixation - highlighting the method's sensitivity to ongoing selective processes. CONCLUSIONS: Furthermore, we emphasize the critical role of parameter tuning, balancing biological assumptions with methodological rigor. While broader applicability remains an important direction for future work, the present benchmarking is intentionally scoped to EaR experimental contexts.

Machine Learning↗

Self-administration of ethanol: towards the location of predisposing polygenes in quasi-congenic animal models.

Alcohol consumption by C57BL/6By background and BALB/cJ donor strains, and by two recently developed quasi-congenic QTL-introgression strains, which share about 96% of their genes with the background strain, was studied in a limited access paradigm. Alcohol and water were offered for 60 min per day using modified pipettes on a drinking cage. Increasing concentration of alcohol solutions, 3, 6, and 12%, were given for days 1-7, 8-14, and 15-22, respectively. Consumption of the 12% alcohol solution was highest in C57BL/6By (0.72 g/kg/h), lowest in BALB/cJ (0.14 g/kg/h). The B6.Cb4i5 beta 13 quasi-congenic strain, in spite of its genetic similarity to the C57BL/6By background strain, consumed significantly less alcohol (0.41 g/kg/h) than the background strain. The results suggest that polygenes that reduce alcohol consumption were introgressed from the BALB/cJ donor strain into the C57BL/6By background strain, and that the b4i5 series of the B6.C quasi-congenic QTL-introgression strains may be useful in mapping genes that influence alcohol-related behaviors. Locations of the introgressed candidate polygenes were tentatively identified by analyzing microsatellite maps of two of the quasi-congenic strains.

Animals↗

[Animal models for intractable vasculitis: significance of genetic background].

Almost all of intractable vasculitis have been thought to develop mainly in immunological mechanisms, based on the data from several animal models previously established. Serum sickness models, microbe-induced models and others have contributed to supporting this idea. These models have furthermore indicated that vasculitis could be generated by exogenous factors in normal individuals, and that vasculitis might be explained in monism. However, recent studies in murine lupus suggest that intractable vasculitis requires endogenous factors involving retroviruses and/or genetic background under the control of polygene system. In this review, although not comprehensive, significance of background genes in vasculitis will be focused.

Animals↗

Polygenic Risk Based Detection and Treatment of Subclinical Coronary Atherosclerosis in the PROACT Clinical Trials.

BACKGROUND: Coronary artery disease (CAD) polygenic risk scores (PRS) may identify individuals at elevated genetic risk "flying under the radar" in contemporary practice. The aims of the PROACT (Polygenic Risk Based Detection and Treatment of Subclinical Coronary Atherosclerosis) trials are to prospectively identify these individuals, quantify subclinical coronary plaque, and slow its progression with pharmacologic interventions. OBJECTIVES: The aim of this study is to report interim feasibility and implementation findings from PROACT, a genotype-first, biobank-enabled trial, characterizing eligibility yield, callback engagement, and subclinical coronary atherosclerosis on coronary computed tomographic angiography among individuals with high CAD PRS. METHODS: Within a hospital-based biobank, adults 40 to 75 years of age with high CAD PRS, without cardiovascular disease, and not on lipid-lowering therapy were invited. The authors characterize 2,495 eligible individuals with high CAD PRS, report on the feasibility and early operational outcomes of a genotype-first callback strategy for a clinical trial in the first 1,314 invited, and describe plaque prevalence by age and sex in the first 204 participants using coronary computed tomographic angiography. RESULTS: Among 64,092 genotyped participants, 2,495 (3.9%) were eligible and had high CAD PRS despite low clinical risk (median 10-year pooled cohort equations risk for atherosclerotic cardiovascular disease 3%; Q1-Q3: 1%-8%). Recruitment showed high engagement: among 1,314 invited individuals, 283 (21.5%) opted in, and 204 (15.5%) completed baseline imaging. Compared with participants who did not opt in, those who opted in had higher specialty care engagement and lived closer to the study site. Analysis of the first 204 participants enrolled by January 31, 2025 (mean age 56.3 ± 8.5 years, 69% women), showed that despite the low clinical risk and favorable cardiovascular health (mean Life's Essential 8 score 73.3 ± 11.5 vs the U.S. average of ∼65), one-half the participants (102 of 204) had subclinical plaque. Subclinical plaque prevalence was 76.2% in men and 38.3% in women and was high across age groups. CONCLUSIONS: These exploratory findings highlight the feasibility of implementing genotype-first recruitment for prevention trials and reveal a large proportion of "silent" high-genetic risk individuals with subclinical plaque for whom pharmacotherapy could be beneficial but who remain undetected by standard clinical assessments. (Polygenic Risk Based Detection of Subclinical Coronary Atherosclerosis and Change in Cardiovascular Health [PROACT 1], NCT05819814; Polygenic Risk Based Detection of Subclinical Coronary Atherosclerosis and Intervention With Statin and Colchicine [PROACT 2], NCT05850091).

Adult↗

Chromosome 13 locus, Pbd2, regulates bone density in mice.

Bone density is inherited as a complex polygenic trait. Previously, we identified two quantitative trait loci (QTLs) specifying the peak relative bone mass (bone mass corrected by bone size) on chromosomes (Chrs) 11 and 13 by interval mapping in two mouse strains: SAMP2 and SAMP6. The latter strain is an established murine model of senile osteoporosis and exhibits a significantly lower peak relative bone mass than SAMP2 mice. In this study, we report the effects of the Chr 13 QTL on peak bone density (Pbd2). First, we constructed a congenic strain P6.P2-Pbd2b, which carried a single genomic interval from the Chr 13 of SAMP2 on an SAMP6-derived osteoporotic background, to dissect this polygenic trait into single gene factors. This congenic strain had a higher bone density than the background strain using three measurement methods with different principles for bone density. Next, we measured the peak relative bone mass of the AKR/J strain and the 13 senescence-accelerated mouse (SAM) strains, which are considered to be a series of recombinant-like inbred (RI) strains derived from the AKR/J strain and other unspecified strains. We then determined the microsatellite marker haplotypes of these strains around the Pbd2 locus, in which three strains with a high relative bone mass shared the same haplotype over the 26-centimorgan (cM) region. In the Pbd2 locus, a high relative bone mass was associated with alleles of the unknown strain, whereas a low relative bone mass was associated with the alleles from the AKR/J strain. These results confirmed the existence of a Pbd2 locus regulating bone density in the SAM strains.

Alleles↗

Coronary Artery Disease-Based Polygenic Risk Score in Early-Onset Acute Myocardial Infarction Subtypes.

BACKGROUND: The coronary artery disease-based polygenic risk score (PRS-CAD) estimates risk of acute myocardial infarction (AMI), but its performance across AMI subtypes in younger individuals, especially women, remains uncertain. OBJECTIVES: The authors assessed PRS-CAD's performance in AMI subtypes. METHODS: We included 2,079 AMI patients aged 18 to 55 years with a 2:1 female-to-male ratio from the VIRGO (Variation in Recovery: Role of Gender on Outcomes of Young Acute Myocardial Infarction Patients) study and 3,761 controls from the MESA (Multi-Ethnic Study of Atherosclerosis) study. AMI subtypes were classified using the VIRGO taxonomy. We evaluated PRS-CAD's association with AMI subtypes using multinomial logistic regression and with 1-year outcomes in AMI subtypes using Cox regression. RESULTS: PRS-CAD was significantly associated with MI due to coronary artery disease (N = 1,876; OR: 1.82 per 1-SD increase; 95% CI: 1.67-1.97; P < 0.001) but not with MI with nonobstructive coronary artery disease (N = 188; OR: 1.13 per 1-SD increase; 95% CI: 0.96-1.34; P = 0.14). PRS-CAD's performance did not differ by sex. A 1-SD increase in PRS-CAD was associated with higher risk of 1-year hospitalization or death in patients with MI with nonobstructive coronary artery disease (HR: 1.50; 95% CI: 1.08-2.10; P = 0.02) but not in patients with MI due to coronary artery disease (HR: 0.98; 95% CI: 0.91-1.07; P = 0.67). CONCLUSIONS: PRS-CAD's association with AMI varied by subtype but not by sex in young adults, warranting caution in application.

acute myocardial infarction↗