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Polygenic risk scores for rheumatoid arthritis and idiopathic pulmonary fibrosis and associations with RA, interstitial lung abnormalities, and quantitative interstitial abnormalities among smokers.

OBJECTIVE: Genome-wide association studies (GWAS) facilitate construction of polygenic risk scores (PRSs) for rheumatoid arthritis (RA) and idiopathic pulmonary fibrosis (IPF). We investigated associations of RA and IPF PRSs with RA and high-resolution chest computed tomography (HRCT) parenchymal lung abnormalities. METHODS: Participants in COPDGene, a prospective multicenter cohort of current/former smokers, had chest HRCT at study enrollment. Using genome-wide genotyping, RA and IPF PRSs were constructed using GWAS summary statistics. HRCT imaging underwent visual inspection for interstitial lung abnormalities (ILA) and quantitative CT (QCT) analysis using a machine-learning algorithm that quantified percentage of normal lung, interstitial abnormalities, and emphysema. RA was identified through self-report and DMARD use. We investigated associations of RA and IPF PRSs with RA, ILA, and QCT features using multivariable logistic and linear regression. RESULTS: We analyzed 9,230 COPDGene participants (mean age 59.6 years, 46.4 % female, 67.2 % non-Hispanic White, 32.8 % Black/African American). In non-Hispanic White participants, RA PRS was associated with RA diagnosis (OR 1.32 per unit, 95 %CI 1.18-1.49) but not ILA or QCT features. Among non-Hispanic White participants, IPF PRS was associated with ILA (OR 1.88 per unit, 95 %CI 1.52-2.32) and quantitative interstitial abnormalities (adjusted β=+0.50 % per unit, p = 7.3 × 10-8) but not RA. There were no statistically significant associations among Black/African American participants. CONCLUSIONS: RA and IPF PRSs were associated with their intended phenotypes among non-Hispanic White participants but performed poorly among Black/African American participants. PRS may have future application to risk stratify for RA diagnosis among patients with ILD or for ILD among patients with RA.

Humans↗

Sterol-regulatory element-binding protein (SREBP)-2 contributes to polygenic hypercholesterolaemia.

Sterol-regulatory element-binding protein (SREBP)-2 is a key regulator of cholesterol. When cells are deprived of cholesterol, proteolytic cleavage releases the NH(2)-terminal domain of SREBP-2 that binds and activates the promoters of SREBP-2-regulated genes including the genes encoding the low-density lipoprotein (LDL) receptor, 3-hydroxymethyl-3-glutaryl-(HMG-)CoA-synthase, and HMG-CoA-reductase. Thus, SREPB-2 gene activation leads to enhanced cholesterol uptake and biosynthesis. A novel protein polymorphism (SREBP-2-595A/G) discovered in the regulatory domain of human SREBP-2 was investigated regarding its impact on cholesterol homeostasis. In human embryonic kidney (HEK)-293-cells, the cleavage-rate of the SREBP-2-595A-isoform was slightly decreased compared to that of the SREBP-2-595G-isoform. Since cleavage of SREBP-2 activates the LDL receptor-mediated uptake of plasma cholesterol, we hypothesized the LDL receptor-mediated uptake to be decreased in homozygous SREBP-2-595A-carriers and thus, plasma total cholesterol (TC) to be higher than in SREBP-2-595G-carriers. Multiple linear regression analysis of population samples from Switzerland (N=1334) and Israel (N=923) demonstrated a significant positive, gene dose-dependent association of the SREBP-2-595A-isoform with higher plasma TC (P=0.001). This cholesterol-modulating effect was present in hypercholesterolaemic (DeltaTC=1.05 mmol/l, 14.4%; P=0.002; N=477), but absent in normocholesterolaemic subjects (DeltaTC=0.06 mmol/l, 1.4%; P=0.334; N=1780). In summary, a slightly but constantly decreased cleavage-rate of the SREBP-2-595A-isoform compared to that of the SREBP-2-595G-isoform may lead to a reduced transcriptional activation of the LDL receptor-gene weakening the SREBP-mediated compensation mechanisms, and may, therefore, be a critical factor in the development of polygenic hypercholesterolaemia.

Adolescent↗

Effect of soy protein diet versus standard low fat, low cholesterol diet on lipid and lipoprotein levels in children with familial or polygenic hypercholesterolemia.

The effect on serum lipid and lipoprotein levels of a standard low fat, low cholesterol diet was compared with that of a soy protein-substituted low fat, low cholesterol diet in 23 children with familial or polygenic hypercholesterolemia: 12 boys and 11 girls (mean age, 9.3 +/- 4.5 years) were included in this outpatient program. Group 1 received the soy protein diet for 8 weeks; group 2 received the low fat, low cholesterol diet. After an interruption of 8 weeks, each group was placed on the alternate regimen. Fasting blood samples were collected at the beginning of each dietary period. During the soy protein diet, the levels of total cholesterol decreased by 16% in group 1 and 18% in group 2, and low-density lipoprotein cholesterol (LDL-C) levels decreased about 22% in group 1 and 25% in group 2. During the standard low fat, low cholesterol diet, total cholesterol and LDL-C levels were reduced by 8% and 7% in group 1 and by 12% and 13%, respectively, in group 2. The effect on LDL-C was significantly greater (p < 0.05) in the soy protein group than in the low fat, low cholesterol group. We conclude that a diet substituting soy protein for animal protein has a more beneficial short-term effect on total cholesterol and LDL-C levels in children with hypercholesterolemia than a standard low fat diet.

Adolescent↗

Apolipoprotein E genotype and cholesterogenesis in polygenic hypercholesterolemia.

We studied 22 normal-weight patients with polygenic hypercholesterolemia (PH), of which 11 (two males and nine females) had the apolipoprotein (apo) E3/4 genotype and 11 (one male and 10 females) the E3/3 genotype. The two groups were comparable for age, body mass index, total and low-density lipoprotein (LDL) cholesterol levels. The diagnosis of PH was made on the basis of clinical assessment, the criteria being type IIa hypercholesterolemia without tendon xanthomas and/or family history and clinical criteria indicative of familial hypercholesterolemia and/or familial combined hyperlipidemia. To avoid the influence of the habitual individual diet on cholesterogenesis, daily urinary mevalonic acid (MVA) excretion, an index of whole-body cholesterol synthesis, was evaluated in the steady-state condition while patients were on a low-fat, low-cholesterol diet for at least 3 months. Urinary MVA excretion rates were 2.52 +/- 0.8 micromol/24 h in E3/4 patients, significantly higher (P < .001) than in E3/3 patients (1.38 +/- 0.6 micromol/24 h). This is the first evidence of a higher rate of cholesterogenesis in PH patients carrying the epsilon4 allele versus the epsilon3 allele under a standardized lipid-lowering diet. We conclude that the higher rate of cholesterogenesis in PH patients with the epsilon4 allele might partly explain the interindividual differences in response to treatment with cholesterol synthesis inhibitors such as statins.

Alleles↗

Development of a novel polygenic model of NIDDM in mice heterozygous for IR and IRS-1 null alleles.

NIDDM is a polygenic disease characterized by insulin resistance in muscle, fat, and liver, followed by a failure of pancreatic beta cells to adequately compensate for this resistance despite increased insulin secretion. Mice double heterozygous for null alleles in the insulin receptor and insulin receptor substrate-1 genes exhibit the expected approximately 50% reduction in expression of these two proteins, but a synergism at a level of insulin resistance with 5- to 50-fold elevated plasma insulin levels and comparable levels of beta cell hyperplasia. At 4-6 months of age, 40% of these double heterozygotes become overtly diabetic. This NIDDM mouse model in which diabetes arises in an age-dependent manner from the interaction between two genetically determined, subclinical defects in the insulin signaling cascade demonstrates the role of epistatic interactions in the pathogenesis of common diseases with non-Mendelian genetics.

Alleles↗

Polygenic control of experimental allergic encephalomyelitis in Biozzi ABH and BALB/c mice.

Experimental allergic encephalomyelitis (EAE) is a chronic inflammatory disease of the central nervous system (CNS), with many similarities to multiple sclerosis (MS). Susceptibility to EAE is under genetic control of both the major histocompatibility complex (MHC) and unknown non-MHC gene products. This study uses a selective cross between EAE-susceptible ABH and low responder BALB/c mice, where disease is dominant and affects female mice significantly more than males. In a genome screen using microsatellite markers, linkage analysis suggests that genes encoded on chromosomes 4, 8, 10, 11, 12 and 17 contribute to the development of EAE (p < 0.05), although none of these putative EAE loci fulfilled the criteria for significant linkage. Interestingly, genotype frequency showed significant deviation from the expected random distribution of alleles on chromosomes 4, 8 and 17, (p < 0.001), with 32% of mice developing disease, exhibiting all 3 alleles (p < 0.001). This may indicate complex interactions amongst gene products in the EAE phenotype. This and other recent studies in different mouse strains underlies that EAE is a complex polygenic trait and may provide clues to the genetic mechanisms involved in autoimmune diseases such as multiple sclerosis.

Animals↗

Genome analysis of collagen disease in MRL/lpr mice: polygenic inheritance resulting in the complex pathological manifestations.

MRL/MpJ-lpr/lpr (MRL/lpr) mice develop collagen disease involving vasculitis, glomerulonephritis, arthritis and sialoadenitis, each of which has been studied as a model for polyarteritis, lupus nephritis, rheumatoid arthritis and Sjögren's syndrome, respectively. In the previous studies, we observed genetic segregation of these complex pathological manifestations throughout the genome recombination with a C57Bl/6-lpr/lpr or a C3H/HeJ-lpr/lpr (C3H/lpr) strain of mice which rarely develops such lesions, indicating that development of collagen disease is dependent on an MRL host genetic background. To clarify the mode of inheritance and the gene loci affecting four types of the lesions in MRL/lpr mice; vasculitis, glomerulonephritis, arthritis and sialoadenitis, a genetic dissection of the lesions was carried out by using MRL/lpr, C3H/lpr, (MRL/lprxC3H/lpr) F1 intercross, and MRL/lprx(MRL/lprxC3H/lpr) F1 backcross mice. Definition of each lesion was performed by histopathology under light microscopy, and genomic DNA of the backcross mice were subjected to association studies by chi-square analysis for determining which polymorphic microsatellite locus occurs at higher frequency among affected compared to unaffected individuals for each lesion. We observed that gene loci recessively associated with each lesion were mapped on different chromosomal positions. We conclude that each of four types of the lesions in MRL/lpr mice is under the control of different set of genes, suggesting the complex pathological manifestations of collagen disease result from polygenic inheritance.

Animals↗

Polygenic control of the expression of biological activities of an antitumor polysaccharide, lentinan.

Genetic studies were carried out on two in vivo responses of lentinan, delayed type-acute phase responses (DT-APR) and vascular dilation and hemorrhage (VDH). Linkage analyses showed that DT-APR was controlled by two recessive genes, ltnr1 and ltnr2, which were mapped on chromosome 3 and 11, respectively. VDH was also found to be controlled by polygenes. One dominant major gene, Ltnr3, and three dominant minor genes, Ltnr4, Ltnr5, and Ltnr6, were mapped on chromosomes 6, 9, 15 and 16, respectively.

Acute-Phase Reaction↗

Apolipoprotein(a) size polymorphism is associated with coronary heart disease in polygenic hypercholesterolemia.

BACKGROUND AND AIM: In addition to high serum cholesterol levels, various cardiovascular risk factors may be involved in the development of coronary heart disease (CHD) in hypercholesterolemic subjects. As the levels of lipoprotein(a) [Lp(a)], an important and independent cardiovascular risk factor, are high in polygenic hypercholesterolemia (PH), we investigated plasma Lp(a) levels and apolipoprotein(a) [apo(a)] phenotypes in relation to occurrence of CHD events in PH patients. METHODS AND RESULTS: Lp(a) levels and apo(a) isoforms were determined in 191 PH patients, 83 normocholesterolemic subjects with CHD, and 94 normocholesterolemic controls without CHD. Lp(a) levels were similar in the hypercholesterolemic subjects with (n=100) or without CHD (n=91): 21.4 (range 6.6-59.23) vs 18.5 (range 5.25-57.25) mg/dL (p=NS). Low molecular weight apo(a) isoforms were more prevalent (55%) in the PH patients with CHD, whereas high molecular weight apo(a) isoforms were more prevalent (62.6%) in those without CHD: this difference was significant (p<0.05). A stepwise multiple-discriminant analysis made in order to determine the independence of common cardiovascular risk factors, Lp(a) levels and low molecular weight apo(a) isoforms in predicting CHD among hypercholesterolemic subjects showed that the presence of a positive family history of CHD, smoking, age, and the presence of at least one apo(a) isoform of low molecular weight were independently associated with CHD. CONCLUSIONS: Despite high Lp(a) levels, our findings do not support the hypothesis that Lp(a) plays an independent role in determining clinical CHD in PH subjects. However, the presence of at least one low molecular weight apo(a) isoform is an independent genetic predictor of CHD in hypercholesterolemic subjects. Together with other cardiovascular risk factors, apo(a) phenotypes should be assessed to evaluate the overall CHD risk status of all subjects with high serum cholesterol levels.

Adult↗

Disease model: hyperinsulinemia and insulin resistance. Part B--polygenic and other animal models.

Deficiency of leptin or its receptor produces hyperinsulinemia with marked obesity. Paradoxically, severe insulin resistance also accompanies lipodystrophy. Animal models of these contrasting conditions have enabled us to observe the profound and complicated aspects of the underlying pathologies. In addition, conventional polygenic rodents with known genetic backgrounds, such as the spontaneously hypertensive rat and the Goto-Kakisaki rat, have also been used to investigate these abnormalities.

Animals↗

The divergence of a polygenic system subject to stabilizing selection, mutation and drift.

Polygenic variation can be maintained by a balance between mutation and stabilizing selection. When the alleles responsible for variation are rare, many classes of equilibria may be stable. The rate at which drift causes shifts between equilibria is investigated by integrating the gene frequency distribution W2N II (pq)4N mu-1. This integral can be found exactly, by numerical integration, or can be approximated by assuming that the full distribution of allele frequencies is approximately Gaussian. These methods are checked against simulations. Over a wide range of population sizes, drift will keep the population near an equilibrium which minimizes the genetic variance and the deviation from the selective optimum. Shifts between equilibria in this class occur at an appreciable rate if the product of population size and selection on each locus is small (Ns alpha 2 less than 10). The Gaussian approximation is accurate even when the underlying distribution is strongly skewed. Reproductive isolation evolves as populations shift to new combinations of alleles: however, this process is slow, approaching the neutral rate (approximately mu) in small populations.

Alleles↗

Dynamics of polygenic variability under stabilizing selection, recombination, and drift.

We study the transient dynamics of the genotypic variance of an additive trait under stabilizing selection, recombination and random drift. We show how interaction of these factors determines the form and the rates of change of different components of the genotypic variance. Let Vg be the genic variance of the trait and CL be the contribution of linkage disequilibrium to the genotypic variance. We demonstrate that the dynamics of the system on the plane (Vg, CL) are typically characterized by a quick approach to a straight line with slow evolution along this line afterwards. We show that the number of loci, n, and the population size, N, affect the expected dynamics of Vg mainly through the ratio N/n. We use our analytical and numerical results in interpreting the published results of artificial stabilizing selection experiments. The analysis suggests that it is drift and not selection that most likely led to the reduction of genetic variability in most of these experiments. Even very strong stabilizing selection only slowly removes polygenic variability from populations.

Algorithms↗

On flexible finite polygenic models for multiple-trait evaluation.

Finite polygenic models (FPM) might be an alternative to the infinitesimal model (TIM) for the genetic evaluation of pedigreed multiple-generation populations for multiple quantitative traits. I present a general flexible Bayesian method that includes the number of genes in the FPM as an additional random variable. Markov-chain Monte Carlo techniques such as Gibbs sampling and the reversible jump sampler are used for implementation. Sampling of genotypes of all genes in the FPM is done via the use of segregation indicators. A broad range of FPM models, some combined with TIM, are empirically tested for the estimation of variance components and the number of genes in the FPM. Four simulation scenarios were studied, including genetic models with 5 or 50 additive independent diallelic genes affecting the traits, and random selection or selection on one of the traits was performed. The results in this study were based on ten replicates per simulation scenario. In the case of random selection, uniform priors on additive gene effects led to posterior mean estimates of genetic variance that were positively correlated with the number of genes fitted in the FPM. In the case of trait selection, assuming normal priors on gene effects also led to genetic variance estimates for the selected trait that were negatively correlated with the number of genes in the FPM. This negative correlation was not observed for the unselected trait. Treating the number of genes in the FPM as random revealed a positive correlation between prior and posterior mean estimates of this number, but the prior hardly affected the posterior estimates of genetic variance. Posterior inferences about the number of genes should be considered to be indicative where trait selection seems to improve the power of distinguishing between TIM and FPM. Based on the results of this study, I suggest not replacing TIM by the FPM, but combining TIM and FPM with the number of genes treated as random, to facilitate a highly flexible and thereby robust method for variance component estimation in pedigreed populations. Further study is required to explore the full potential of these models under different genetic model assumptions.

Analysis of Variance↗

Clines in polygenic traits.

This article outlines theoretical models of clines in additive polygenic traits, which are maintained by stabilizing selection towards a spatially varying optimum. Clines in the trait mean can be accurately predicted, given knowledge of the genetic variance. However, predicting the variance is difficult, because it depends on genetic details. Changes in genetic variance arise from changes in allele frequency, and in linkage disequilibria. Allele frequency changes dominate when selection is weak relative to recombination, and when there are a moderate number of loci. With a continuum of alleles, gene flow inflates the genetic variance in the same way as a source of mutations of small effect. The variance can be approximated by assuming a Gaussian distribution of allelic effects; with a sufficiently steep cline, this is accurate even when mutation and selection alone are better described by the 'House of Cards' approximation. With just two alleles at each locus, the phenotype changes in a similar way: the mean remains close to the optimum, while the variance changes more slowly, and over a wider region. However, there may be substantial cryptic divergence at the underlying loci. With strong selection and many loci, linkage disequilibria are the main cause of changes in genetic variance. Even for strong selection, the infinitesimal model can be closely approximated by assuming a Gaussian distribution of breeding values. Linkage disequilibria can generate a substantial increase in genetic variance, which is concentrated at sharp gradients in trait means.

Alleles↗

Biochemical heterozygosity and phenotypic variability of polygenic traits.

Using the theory of additive genetic variability of a polygenic trait, it is shown that an individual's heterozygosity at the loci governing the trait cannot be determined accurately from observations on phenotypes alone. Furthermore, the negative association between heterozygosity and phenotypic variance, and a positive correlation of the frequency of the modal class of a phenotypic trait and the extent of heterozygosity can be explained by additive allelic effects. It is argued that while the number of heterozygous loci in an individual may not be a good indicator of the individual's genomic heterozygosity, there is evidence that some of the biochemical loci may reflect genetic variation at the loci controlling phenotypic polymorphism. Thus the observed relationship between biochemical heterozygosity and phenotypic variance may not constitute hard evidence of heterosis, overdominance, or associative overdominance.

Alleles↗

Can phenotypic variability of polygenic traits yield information regarding selection?

The relation between phenotypic variability and heterozygosity for a polyallelic polygenic trait is obtained using computer simulation. It is shown that unlike the di-allelic case, the variance of phenotypic score of the trait can increase or decrease depending on the allele frequency distribution. The relevance of this to selection is discussed.

Alleles↗

Polygenic control of a mating signal in Drosophila.

Recent findings show that traits which influence speciation in the melanogaster subgroup of Drosophila can be determined by relatively few loci and/ or be sex-linked. Using backcrosses between D. simulans and D. mauritiana, we show that an acoustic mating signal which plays an important role in courtship (the interpulse interval of the 'lovesong') has a polygenic determination. There is no evidence of single genes of large effect, a disproportionate contribution of the sex chromosome or epistasis. The probability of finding single genes with a large effect on sexual isolation may vary with the mode of signalling involved.

Animals↗

Polygenic control of autoimmune diabetes in nonobese diabetic mice.

Partial exclusion mapping of the nonobese (NOD) diabetic mouse genome has shown linkage of diabetes to at least five different chromosomes. We have now excluded almost all of the genome for the presence of susceptibility genes with fully recessive effects and have obtained evidence of linkage of ten distinct loci to diabetes or the prediabetic lesion, insulitis, indicative of a polygenic mode of inheritance. The relative importance of these loci and their interactions have been assessed using a new application of multiple polychotomous regression methods. A candidate disease gene, interleukin-2 (Il-2), which is closely linked to insulitis and diabetes, is shown to have a different sequence in NOD, including an insertion and a deletion of tandem repeat sequences which encode amino acid repeats in the mature protein.

Amino Acid Sequence↗