Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “polygenic background”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 217 records · Page 12Linked to original sources

[Sex-specific depression risk].

Major depression displays significant heritability, and its genetic background has been extensively explored by genome-wide association studies. On the whole, these results indicate a highly polygenic landscape with significant sex-linked differences revealing a higher and more polygenic genetic influence in females than in males.

Humans↗

Predicting Weight Loss After Vertical Sleeve Gastrectomy Using a Whole-genome Sequencing-derived Polygenic Risk Score in the All of Us Cohort.

OBJECTIVE: To create a genome-wide polygenic risk score (PRS) to improve prediction of a 12-month percentage weight loss (WL) after vertical sleeve gastrectomy (VSG). BACKGROUND: Variability in post-VSG WL is not well explained by clinical factors. The All of Us program provides access to a 414,830 short-read whole-genome sequencing resource, enabling unbiased discovery of genetic predictors after VSG. METHODS: VSG counts, demographic, anthropomorphic and vital sign information were obtained from the linked electronic health record. The discovery cohort (DC) included participants from version 7 carried into version 8 while the validation cohort (VC) included those newly added to v8. We defined good responders and nonresponders as having WL&#xb1;1SD from the mean. Following quality filtering, we applied a 2-stage penalized-regression, followed by elastic-net logistic regression, to identify 1583 stable variants and derive &#x3b2;-weights. We then tested this PRS on the DC into a prediction model. RESULTS: We identified 395 participants in the DC and 336 participants in the VC, respectively. Of these, VSG, 44 were classified as good responders (&#x2265;37% WL) and 55 as nonresponders (&#x2264;19% WL). In the VC, 55 were classified as good responders and 48 as nonresponders. Adding the PRS to models to clinical predictors increased the area under the curve following logistic regression by 0.03; P <4.3 &#xd7; 10 -14 , random forest by 0.03; P <9.1 &#xd7; 10 -7 , decision tree by 0.05; P = 1.2 &#xd7; 10 -3 , and gradient boosting by 0.08; P <8.3 &#xd7; 10 -10 . CONCLUSIONS: Use of short-read whole-genome sequencing from All of Us (AoU) can be effectively used to generate PRS to enhance predictive WL accuracy. This work has implications for outcomes of both bariatric surgery and other surgical procedures.

Humans↗

Genome-wide introgression lines and their use in genetic and molecular dissection of complex phenotypes in rice (Oryza sativa L.).

Tremendous efforts have been taken worldwide to develop genome-wide genetic stocks for rice functional genomic (FG) research since the rice genome was completely sequenced. To facilitate FG research of complex polygenic phenotypes in rice, we report the development of over 20,000 introgression lines (ILs) in three elite rice genetic backgrounds for a wide range of complex traits, including resistances/tolerances to many biotic and abiotic stresses, morpho-agronomic traits, physiological traits, etc., by selective introgression. ILs within each genetic background are phenotypically similar to their recurrent parent but each carries one or a few traits introgressed from a known donor. Together, these ILs contain a significant portion of loci affecting the selected complex phenotypes at which allelic diversity exists in the primary gene pool of rice. A forward genetics strategy was proposed and demonstrated with examples on how to use these ILs for large-scale FG research. Complementary to the genome-wide insertional mutants, these ILs opens a new way for highly efficient discovery, candidate gene identification and cloning of important QTLs for specific phenotypes based on convergent evidence from QTL position, expression profiling, functional and molecular diversity analyses of candidate genes, highlights the importance of genetic networks underlying complex phenotypes in rice that may ultimately lead to more complete understanding of the genetic and molecular bases of quantitative trait variation in rice.

Adaptation, Physiological↗

Hyperleptinemia, leptin resistance, and polymorphic leptin receptor in the New Zealand obese mouse.

New Zealand Obese (NZO) mice exhibit a polygenic syndrome of hyperphagia, obesity, hyperinsulinemia, and hyperglycemia similar to that observed in young diabetes mutant mice on the C57BLKS/J background (C57BLKS/J-Lepr(db)/Lepr(db)). Here we show that in NZO this syndrome is accompanied by a marked elevation of the leptin protein in adipose tissue and serum. The promoter region and the complementary DNA of the ob gene of NZO mice, including its 5'-untranslated region, are identical with the wild-type sequence (C57BL, BALB/c), except that the transcription start is located 5 bp upstream of the reported site. In contrast to C57BLKS/J+/+ and C57BL/6J-Lep(ob)/Lep(ob) mice, NZO mice failed to respond to recombinant leptin (7.2 microg/g) with a reduction of food intake. Leptin receptor messenger RNA as detected by PCR appears as abundant in hypothalamic tissue of NZO mice as in tissue from lean mice. Ten nucleotide polymorphisms are found in the complementary DNA of the leptin receptor, resulting in two conservative substitutions (V541I and V651I) in the extracellular part of the receptor and one nonconservative substitution (T1044I) in the intracellular domain between the presumed Jak and STAT binding boxes. However, these mutations are also present in the related lean New Zealand Black strain (body fat at 9 weeks: New Zealand Black, 6.2 +/- 1.3%; NZO, 17.0 +/- 1.7%). Thus, the polymorphic leptin receptor seems to play only a minor, if any, role in the obesity and hyperleptinemia of the NZO mouse. It is suggested that the main defect in NZO is located distal from the leptin receptor or at the level of leptin transport into the central nervous system.

Adipose Tissue↗

Cumulative Genetic Risk for Asthma Contributes to Disease Severity in Children with Asthma living in Urban Environments.

BACKGROUND: Childhood-onset asthma is highly heritable, with nearly 200 risk loci identified in genome-wide association studies. Aggregated polygenic risk scores can be used to quantify genetic predisposition to asthma, but their power to predict asthma severity in multi-ancestral groups has not been determined. OBJECTIVE: Our aim was to examine the predictive power of biobank-derived asthma polygenic risk scores in children with asthma living in urban environments. METHODS: We generated polygenic risk scores for asthma, derived from a large-scale genome-wide association meta-analysis, in four multi-ancestry asthma study cohorts of children living in urban environments. We assessed genetic predictions across different subphenotypes of asthma and tested for associations between genetic asthma risk and measures of asthma severity. RESULTS: Genetic asthma prediction was significantly stronger for more symptomatic asthma phenotypes (P<0.001). Polygenic risk scores were significantly higher in difficult-to-control vs. easy-to-control asthma (P=0.02). Genetic risk was also significantly associated with more frequent exacerbations (P=0.03), higher blood eosinophil levels (P=0.01), and lower lung function (P<0.001). CONCLUSION: Cumulative genetic risk for asthma is associated with disease severity and exacerbation risk in children with asthma living in urban environments.

Journal Article↗

B cells are required for lupus nephritis in the polygenic, Fas-intact MRL model of systemic autoimmunity.

B cells are required for both the expression of lupus nephritis and spontaneous T cell activation/memory cell accumulation in MRL-Faslpr mice (MRL/lpr). Autoimmunity in the MRL/lpr strain is the result of Fas-deficiency and multiple background genes; however, the precise roles of background genes vs Fas-deficiency have not been fully defined. Fas-deficiency (i.e., the lpr defect) is required in B cells for optimal autoantibody expression, raising the possibility that the central role for B cells in MRL/lpr mice may not extend to MRL/+ mice and, thus, to lupus models that do not depend on Fas-deficiency ("polygenic lupus"). To address this issue, B cell-deficient, Fas-intact MRL/+ mice (JHd-MRL/) were created; and disease was evaluated in aged animals (>9 mo). The JHd-MRL/+ animals did not develop nephritis or vasculitis at a time when the B cell-intact littermates had severe disease. In addition, while activated/memory CD4+ and CD8+ T cells accumulated in B cell-intact mice, such accumulation was substantially inhibited in the absence of B cells. This effect appeared to be restricted to the MRL strain because it was not seen in B cell-deficient BALB/c mice (JHd-BALB) of similar ages. The results indicate that B cells are essential in promoting systemic autoimmunity in a Fas-independent model. Therefore, B cells have an important role in pathogenesis, generalizable to lupus models that depend on multiple genes even when Fas expression is intact. The results provide further rationale for B cell suppression as therapy for systemic lupus erythematosus.

Animals↗

Discovery of genes involved with learning and memory: an experimental synthesis of Hirschian and Benzerian perspectives.

The biological bases of learning and memory are being revealed today with a wide array of molecular approaches, most of which entail the analysis of dysfunction produced by gene disruptions. This perspective derives both from early "genetic dissections" of learning in mutant Drosophila by Seymour Benzer and colleagues and from earlier behavior-genetic analyses of learning and in Diptera by Jerry Hirsh and coworkers. Three quantitative-genetic insights derived from these latter studies serve as guiding principles for the former. First, interacting polygenes underlie complex traits. Consequently, learning/memory defects associated with single-gene mutants can be quantified accurately only in equilibrated, heterogeneous genetic backgrounds. Second, complex behavioral responses will be composed of genetically distinct functional components. Thus, genetic dissection of complex traits into specific biobehavioral properties is likely. Finally, disruptions of genes involved with learning/memory are likely to have pleiotropic effects. As a result, task-relevant sensorimotor responses required for normal learning must be assessed carefully to interpret performance in learning/memory experiments. In addition, more specific conclusions will be obtained from reverse-genetic experiments, in which gene disruptions are restricted in time and/or space.

Animals↗

Role of H-2 and non-H-2 genes in control of bacterial clearance from the spleen in Salmonella typhimurium-infected mice.

The ability of mice to clear Salmonella typhimurium from their spleens in the late phase of infection was studied after inoculation with a temperature-sensitive mutant. Clearance of bacteria was delayed in C57BL/6 mice compared with BALB/c, C3H/HeJ, DBA/2, A/J, and CBA mice. The responses of F1 hybrids, backcrosses, and recombinant inbred strains derived from C57BL/6 and BALB/c (both Itys) and of H-2 congenic mice were analyzed. The results showed that the low rate of bacterial clearance was recessive, that the rate of clearance was under polygenic control, and that an H-2-linked gene(s) plays a major role. Among H-2 congenic mice with a C57BL/10 background, three phenotypes of bacterial clearance could be distinguished: high (H-2j, H-2q, and H-2u), intermediate (H-2d, H-2f, H-2k, H-2p, H-2r, H-2s, and H-2v), and low (H-2b) rates. The effect of the H-2 complex was apparent with different genetic backgrounds (Itys and Ityr). In recombinant inbred strains derived from C57BL/6 (Itys) and A/J (Ityr) mice, the effect of the H-2b haplotype on bacterial clearance appeared to be fully expressed only in strains carrying the Itys allele.

Alleles↗

Prediction of liability to orofacial clefting using genetic and craniofacial data from parents.

BACKGROUND: Cleft lip with or without cleft palate (CL(P)) and isolated cleft palate (CP) are separate clinical entities and for both polygenic multifactorial aetiology has been proposed. Parents of children with orofacial clefting have been shown to have distinctive differences in their facial shape when compared to matched controls. OBJECTIVE: To test the hypothesis that genetic and morphometric factors predispose to orofacial clefting and that these markers differ for CL(P) and CP. Methods-Polymorphisms at the transforming growth factor alpha (TGFalpha) locus in 83 parents of children with nonsyndromic orofacial clefts were analysed, and their craniofacial morphology was assessed using lateral cephalometry. RESULTS: Parents of children with CL(P) and CP showed an increased frequency of the TGFalpha/TaqI C2 allele (RR=4.10, p=0.009) relative to the comparison group. Also the TGFalpha/BamHI A1 allele was more prevalent in the CP parents. MULTIVARIATE STATISTICAL ANALYSIS: Using stepwise logistic regression analysis the TGFalpha/TaqI C2 polymorphism provides the best model for liability to orofacial clefting. To determine the type of clefting a model involving interaction between the parental TGFalpha/BamHI and TGFalpha/RsaI genotypes showed the best fit. Using genotype only to predict the clefting defect in the children according to parental genotype, 68.3% could be correctly classified. By adding information on craniofacial measurements in the parents, 76% of CP and 94% of CL(P) parents could be correctly classified. CONCLUSIONS: This study provides a model for prediction of liability to orofacial clefting. These findings suggest that different molecular aberrations at the TGFalpha locus may modify the risk for CP and CL(P).

Alleles↗

A common PCSK9 haplotype, encompassing the E670G coding single nucleotide polymorphism, is a novel genetic marker for plasma low-density lipoprotein cholesterol levels and severity of coronary atherosclerosis.

OBJECTIVES: We sought to determine the effects of PCSK9 variants on plasma low-density lipoprotein cholesterol (LDL-C) levels, severity of coronary atherosclerosis, and response to statin therapy in the Lipoprotein Coronary Atherosclerosis Study (LCAS) population. BACKGROUND: Mutations in PCSK9 cause autosomal-dominant hypercholesterolemia. We hypothesized that PCSK9 variants could affect plasma LDL-C in individuals with polygenic hypercholesterolemia. METHODS: We sequenced all 12 exons and boundaries to detect novel polymorphisms, and genotyped 372 subjects in LCAS and 319 subjects in a second independent population for six polymorphisms, including novel leucine repeats, by fluorescently tagged markers. We reconstructed haplotypes using a Bayesian algorithm. RESULTS: Permutation test results showed statistically significant differences in global haplotype distribution among the tertiles of LDL-C (odds ratio [OR]: 2.36, 95% confidence interval [CI]: 1.90 to 4.32, p = 0.005) and minimum lumen diameter of coronary lesions (OR: 1.83, 95% CI: 1.01 to 3.55, p = 0.045). Regression analysis identified haplotype 3 as an independent determinant of LDL-C levels (adjusted R2 = 2.2%, F = 9.37, p = 0.002). Haplotype structure analysis identified E670G as the determinant variant, exerting a dose effect (GG > EG > EE) and accounting for 3.5% of plasma LDL-C variability (F = 14.6, p < 0.001). Plasma total cholesterol, apolipoprotein B, and lipoprotein (a) levels were also associated with the E670G variant. Distributions of the E670G genotypes in an independent normolipidemic and the hyperlipidemic LCAS populations were significantly different (F = 7.2, p = 0.027). No significant treatment-by-genotype interactions were detected. The false positive report probability was between 2% and 8%. CONCLUSIONS: Haplotype 3 encompassing the E670G variant is an independent determinant of plasma LDL-C levels and the severity of coronary atherosclerosis.

Adult↗

Predicting risk of ischemic stroke: A transformer model using genomic data.

BACKGROUND AND OBJECTIVE: Ischemic stroke is a leading cause of mortality and long-term disability worldwide. Genetic factors contribute to IS susceptibility, yet conventional polygenic risk score approaches are primarily based on additive effects and may not fully capture non-linear relationships or positional context and interactions among genetic variants. This study aimed to develop and evaluate a transformer-based genomic model incorporating position-wise genotype embedding for IS risk prediction. METHODS: We conducted a genome-wide association study using the UK Biobank dataset to identify IS-associated loci. Gene prioritisation was subsequently performed using tissue-specific expression quantitative trait locus-based Mendelian randomisation and colocalization analyses in whole blood and brain cortex. We then developed a transformer-based model that encoded genotype and SNP-position information using a position-wise embedding layer. Model performance was evaluated across three UK Biobank control definitions and externally assessed in the independent All of Us cohort. Performance metrics included the area under the receiver operating characteristic curve (AUROC), precision, recall, and F1 score. RESULTS: Across the three UK Biobank control definitions, the proposed method achieved the numerically highest discrimination among the evaluated models, with AUROCs of 0.8109, 0.7843, and 0.7468 using MRF-negative, combined, and MRF-positive controls, respectively. In the external All of Us cohort, the proposed method achieved an AUROC of 0.7251 and retained the highest AUROC among the evaluated models. In a separate incident-stroke survival analysis, medium- and high-score groups had hazard ratios of 1.13 and 1.21, respectively, relative to the low-score group. A total of 18 IS-associated loci were identified. Among the tissue-specific MR results, EDEM2 in the brain cortex remained significant after Bonferroni correction, while DCHS2 showed a nominal association. CONCLUSIONS: The proposed transformer-based framework provides a genomic modelling approach that achieved the highest discrimination among the evaluated models in this study and retained comparative performance in an independent external cohort. In further applications, integrating this genomic framework with conventional clinical, lifestyle, and environmental risk factors may support more comprehensive and personalised IS risk assessment. Prospective, population-representative, and multi-ancestry validation will be important to establish its potential role in future prevention-oriented risk management.

Genomics and bioinformatics↗

Patterns of disease in concordant parent-child pairs with multiple sclerosis.

BACKGROUND: Although the exact etiology of MS remains elusive, there is good evidence that genetic factors play an important role. These factors are likely to be polygenic, exerting both independent and interactive effects on the expression of MS. They may determine susceptibility and/or shape the clinical course. METHODS: The authors studied clinical phenotype in 245 concordant parent-child pairs recruited from a national register of familial disease over a 10-year period. Data were examined in order to determine the effect of parental sex on expression of disease in the offspring. RESULTS: Allowing for the observed sex ratio of 2.6 F:1 M in this group of patients, sex pairings of parents and offspring were close to those expected. When assessed independently there was no evidence that either the sex of the affected offspring or the line of inheritance influenced disability, age at onset, or disease course. However, trends were observed toward greater disability and an increased frequency of primary progressive disease in offspring of affected fathers and an earlier age at onset in offspring of affected mothers. The highest mean Expanded Disability Status Scale score was observed in male offspring of affected fathers (5.64) and this group was also more likely to have primary progressive disease (OR 1.92). Thirty-one percent of families had an additionally affected offspring with no preferential maternal or paternal transmission. CONCLUSIONS: In offspring of concordant parent-child families with MS who are at high risk of inheriting increased numbers of susceptibility genes there is no evidence for a parent of origin effect distorting sex ratios in affected offspring, but parent of origin may influence disability and disease course as well as increasing the risk to additional offspring within the same family. The mechanism of these effects is not clear but may result from interactions between genes encoded at different loci (epistasis), which each independently influence susceptibility and phenotype.

Adolescent↗

Premature androgenic alopecia and insulin resistance. Male equivalent of polycystic ovary syndrome?

BACKGROUND: Polycystic ovary syndrome (PCOS), the most frequent endocrinopathy in women with estimated prevalence of 5-10 %, is characterised by a hormonal and metabolic imbalance of polygene autosomal trait. The complexity of symptoms and genetic base started up the hypothesis on the existence of male equivalent of PCOS. Precocious loss of hair before 30 years of age was suggested as one of the male symptoms of this syndrome. OBJECTIVES: The aim was to confirm the association of lower levels of follicle stimulating hormone (FSH) and sexual hormone binding globulin (SHBG) or higher free androgen index (FAI) in premature balding men with a reduced insulin sensitivity. PATIENTS/METHODS: The study included 30 men with premature hair loss (defined as grade 3 vertex or more on the alopecia classification scale by Hamilton with Norwood modification) starting before 30 years of age. The hormonal values of the investigated group were compared with those regarded as normal reference values obtained in a group of 256 males in the age of 20-40 years during the Czech population study of iodine deficiency. In all men with premature baldness besides hormonal level determinations insulin tolerance test was carried out. RESULTS: The observed group was divided into two subgroups. The first one showed similar hormonal changes as women with PCOS, namely subnormal SHBG, FSH or increased FAI. The other had either no anomalies in steroid spectrum or only lower SHBG. The groups did not differ either in BMI or in age. The group with hormonal profile resembling that of women with PCOS, showed significantly higher insulin resistance than the group without these changes. CONCLUSIONS: The findings are consistent with the hypothesis that at least a part of the men with premature androgenic alopecia could be considered as a male equivalent of the polycystic ovary syndrome of the women. These premature balding men represent a risk group for the development of impaired glucose tolerance or diabetes mellitus type 2.

Adult↗

Epistatic interactions between smell-impaired loci in Drosophila melanogaster.

Odor-guided behavior is a polygenic trait determined by the concerted expression of multiple loci. Previously, P-element mutagenesis was used to identify single P[lArB] insertions, in a common isogenic background, with homozygous effects on olfactory behavior. Here, we have crossed 12 lines with these smell impaired (smi) mutations in a half-diallel design (excluding homozygous parental genotypes and reciprocal crosses) to produce all possible 66 doubly heterozygous hybrids with P[lArB] insertions at two distinct locations. The olfactory behavior of the transheterozygous progeny was measured using an assay that quantified the avoidance response to the repellent odorant benzaldehyde. There was significant variation in general combining abilities of avoidance scores among the smi mutants, indicating variation in heterozygous effects. Further, there was significant variation among specific combining abilities of each cross, indicating dependencies of heterozygous effects on the smi locus genotypes, i.e., epistasis. Significant epistatic interactions were identified for nine transheterozygote genotypes, involving 10 of the 12 smi loci. Eight of these loci form an interacting ensemble of genes that modulate expression of the behavioral phenotype. These observations illustrate the power of quantitative genetic analyses to detect subtle phenotypic effects and point to an extensive network of epistatic interactions among genes in the olfactory subgenome.

Animals↗

The role of candidate genetic polymorphisms in covid-19 susceptibility and outcomes.

BACKGROUND: This study aims to investigate the association between candidate host genetic polymorphisms and COVID-19 susceptibility, severity, hospitalization, hypoxia, and their combined effect, measured by the polygenic risk score (PRS). METHODS: Three hundred and seventy-six Lebanese participants, comprising 151 controls and 225 cases, were included. Clinical data were obtained from questionnaires and medical records. DNA isolated from peripheral blood was genotyped for ACE1 rs1799752, ACE2 rs2074192, TMPRSS2 rs75603675 and OAS1 rs107746771 using TaqMan assays, and for TMPRSS2 rs35074065 using Sanger Sequencing. Candidate genetic variants were analyzed in association with COVID-19 susceptibility, severity, hospitalization and hypoxia, using univariate and multivariate models. PRS constructed from the weighted sum of variants was evaluated in association with COVID-19 outcomes. RESULTS: In this study, there were no statistically significant differences in the frequencies of candidate variant alleles between cases, controls and within disease outcomes subgroups, after adjustment for confounders. PRS was not associated with COVID-19 susceptibility and hospitalization, it however significantly predicted COVID-19 severity (P&#x2009;=&#x2009;0.01). CONCLUSION: This study highlights the importance of genetic testing for key host genes involved in COVID-19 life cycle and eventually measuring the PRS which proves to be an important tool for prognosis assessment in vulnerable individuals, potentially enhancing patient care.

Polymorphism, Genetic↗

Prostate Cancer, Genetic Susceptibility, and Risk of Chronic Non-Urological Complications.

BACKGROUND: Chronic nonurological complications are common among prostate cancer (PCa) survivors; however, their spectrum, magnitude, and genetic contribution remain poorly characterized. METHODS: We evaluated 15 commonly reported nonurological complications and tested their associations with exposure to PCa and disease-specific polygenic risk scores (PRS) in the UK Biobank (UKB; N&#x2009;=&#x2009;219,133). Analyses were conducted using cause-specific Cox proportional-hazards models within a full-cohort framework with time-updated PCa status, delayed entry at study recruitment, and age as the underlying time scale. RESULTS: After recruitment, incident PCa was diagnosed in 13,780 men, of which 1,656 (12.02%) had metastatic PCa (mPCa). Risks for seven complications were higher among men with PCa, adjusting for genetic background (all p&#x2009;<&#x2009;0.05), including osteoporosis, venous thromboembolism, depression, and four primary cancers (bladder, kidney, colorectal, and pancreatic). Risks were consistently stronger among men exposed to mPCa than non-mPCa; for example, the hazard ratio (HR) (95% confidence interval) for osteoporosis was 1.88 (1.63-2.18) for any PCa, 4.67 (3.11-7.01) for mPCa, and 1.75 (1.50-2.04) for non-mPCa. Elevated risks for three additional complications (coronary artery disease, type 2 diabetes and chronic obstructive pulmonary disease) were observed only among men with mPCa. The risks for these ten complications were further increased among men with higher disease-specific PRS; for example, the HR for osteoperosis in mPCa patients in the top PRS quartile was 13.57 (8.24-22.34) compared with men without PCa (p&#x2009;<&#x2009;0.001). CONCLUSION: PCa diagnosis and inherited genetic susceptibility jointly contribute to increased risks of multiple chronic non-urological complications among survivors.

Humans↗

Searching for genes underlying normal variation in human adiposity.

A primary challenge in biomedical research today is the elucidation of the underlying genetic architecture of complex conditions such as obesity. In contrast to simple Mendelian disorders that result from a mutation in a single gene, complex phenotypes are the product of the action (as well as interaction) of multiple genes and environmental factors. The genetic configuration of these genes can range from effectively polygenic (i.e., many genes each with a relatively small contribution) to oligogenic (i.e., a few genes with relatively large measurable effects often expressed on a residual additive genetic background). While the task at hand is complicated, it is not intractable; however, it does require consideration of the nature of the disease and definition of its associated phenotypes in selecting the most appropriate study design. Here we will discuss the characteristics of obesity and its related phenotypes, which must be considered in designing analyses to identify the genes involved as well as reviewing what these approaches have provided in the search for genes influencing adiposity in humans

Body Mass Index↗

Genetic control of serum antibody responses of inbred mice to type 1 and type 2 fimbriae from Actinomyces viscosus T14V.

Antibodies reactive with type 1 and type 2 fimbriae from Actinomyces viscosus T14V specifically inhibit the adherence of A. viscosus T14V to salivary pellicle-coated tooth surfaces and other bacteria, and these antibodies are thought to modulate colonization by this microorganism. These studies were done to determine whether previously noted differences in the antibody responses of inbred mice to type 1 and type 2 fimbriae might be under genetic control. The serum immunoglobulin G (IgG) and IgM antibody responses of inbred, F1 hybrid, and H-2 congenic mice, immunized with A. viscosus T14V cells, were analyzed by enzyme-linked immunosorbent assays for antibodies reactive with A. viscosus T14V whole-cell type 1 and type 2 fimbriae. The results confirmed earlier findings and indicated striking variations in the amounts of IgG anti-type 1 (23-fold) and anti-type 2 (48-fold) fimbria antibodies elicited. The responses of the 17 inbred strains tested showed a relatively continuous distribution from high to low, as well as marked differences in the responses of H-2 and Igh-C identical strain pairs. An analysis of the responses of F1 hybrid and H-2 congenic mice indicated dominance of the low-responder gene(s) and control by H-2-linked genes. Antisera from two high-responder strains inhibited in vitro bacterial adherence to a much greater degree than antisera from a low-responding strain. These data suggest polygenic control of the magnitude of the IgG anti-type 1 and anti-type 2 fimbria antibody responses by H-2-linked genes as well as background genes not associated with H-2 or Igh-C loci.

Actinomyces↗