Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “complex trait”

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 1,693 records · Page 94Linked to original sources

Positional identification of hypertension susceptibility genes on chromosome 2.

Chromosome 2 has been consistently identified as a genomic region with genetic linkage evidence suggesting that one or more loci contributes to blood pressure and hypertension status. As with all complex disease traits, following-up linkage evidence to identify the underlying susceptibility gene(s) is an arduous yet biologically and clinically important task. Using combined positional candidate gene methods, the Family Blood Pressure Program (FBPP) has concentrated efforts in narrowing a large region of chromosome 2, demonstrating evidence for linkage in several populations, and identifying underlying candidate hypertension susceptibility gene(s). Initial informatics efforts identified the boundaries of the region and the known genes within it. A total of 82 polymorphic sites in 8 genes were genotyped in a large hypothesis-generating sample consisting of 1640 African Americans, 1339 whites, and 1616 Mexican Americans. After resampling-based false discovery adjustment, SLC4A5, a sodium bicarbonate transporter, was identified as a primary candidate gene for hypertension. Polymorphisms in SLC4A5 were subsequently genotyped and analyzed for validation in two other subcomponents of the FBPP, each contributing African Americans (N=461; N=778) and whites (N=550; N=967). Again, single nucleotide polymorphisms within this gene were significantly associated with blood pressure levels and hypertension status. Although not identifying a single causal gene variant that is significantly associated with blood pressure levels and hypertension status across all samples, the results further implicate SLC4A5 as a candidate hypertension susceptibility gene. Moreover, the present study validates previous evidence for one or more genes on chromosome 2 that influence hypertension-related phenotypes in the population-at-large.

Chromosomes, Human, Pair 2↗

Renal mechanoreceptor dysfunction: an intermediate phenotype in spontaneously hypertensive rats.

This study tested the hypothesis that decreased responsiveness of renal mechanosensitive neurons constitutes an intermediate phenotype in spontaneously hypertensive rats (SHR). Decreased responsiveness of these sensory neurons would contribute to increased renal sympathetic nerve activity and sodium retention, characteristic findings in hypertension. A backcross population, developed by mating borderline hypertensive rats with Wistar-Kyoto rats (WKY) (the F1 of a cross between an SHR and a normotensive WKY), was fed 8% NaCl food for 12 weeks from age 4 to 16 weeks. Responses to increases in ureteral pressure to 20 and 40 mm Hg in 80 backcross rats instrumented for measurement of mean arterial pressure and afferent renal nerve activity were determined. Mean arterial pressure ranged from 110 to 212 mm Hg and was inversely correlated with the magnitude of the increase in afferent renal nerve activity during increased ureteral pressure. Thus, decreased responsiveness of renal mechanosensitive neurons cosegregated with hypertension in this backcross population. This aspect of the complex quantitative trait of altered renal sympathetic neural control of renal function, ie, decreased renal mechanoreceptor responsiveness, is part of an intermediate phenotype in SHR.

Aging↗

Linkage disequilibrium between MSX1 and non-syndromic cleft lip/palate in the Chilean population.

Non-syndromic cleft lip/palate (NSCLP) is a complex genetic trait. Linkage and association studies have suggested that a clefting locus could be located on chromosome 4p. Sixty Chilean families were recruited for this study; from these, we used unrelated trios to evaluate the possible linkage disequilibrium between MSX1 and NSCLP. An intragenic marker, MSX1-CA, and an extragenic marker, D4S432 at a distance of 0.8 cM from MSX1, were analyzed by means of polymerase chain-reaction with fluorescent-labeled forward primers, followed by electrophoresis on a laser-fluorescent sequencer. We carried out a transmission/disequilibrium test (TDT) for multiple alleles to evaluate the presence of linkage disequilibrium. Results showed a preferential transmission of the 169-bp allele of MSX1 (p = 0.03). Although there was no preferential transmission for the D4S432 marker, the overall extended TDT (ETDT) showed a significant result (p = 0.01). The authors' findings support the hypothesis of the contribution of MSX1 in the etiology of NSCLP in the Chilean population.

Adult↗

Variation of candidate genes in triglyceride metabolism.

After more than a decade of study, investigators are grappling for a consensus regarding the relationship between variation in candidate genes and plasma triglyceride concentration. Certain variants of LPL--both rare variants, in the case of loss-of-function mutations in kindreds with chylomicronemia, and common variants, in the case of the D9N and N291S variants--appear to be fairly consistently associated with an elevated plasma triglyceride level. In addition, the variation of the recognition site for Sstl within the 3'-untranslated region of APOC3 has consistently shown an association with a variation in plasma triglycerides. The LPL and APOC3 variants thus have at least a chance in future clinical applications, but this will require more study. Common variants of some other promising candidate genes, such as HL, have not shown as consistent an association with the variation in plasma triglyceride level. Finally, studies of variants of newer candidates, such as the mitochondrial genome, LMNA, and IL-6, indicate that many different genes might be important determinants of plasma triglyceride concentration in the general population. As always, the associations of genes with a complex intermediate trait such as plasma triglyceride level depend upon interactions with modulatory factors such as genetic background and/or secondary genetic effects, in addition to the effects of gender, age, hormone replacement, and postprandial status. A key attribute for increasing confidence in the biologic or potential clinical validity of the associations of candidate gene variation with plasma triglyceride will be the development of assays that will provide a more direct mechanistic link between the genetic variant and the elevated plasma triglyceride.

Coronary Disease↗

The genetics of chronic obstructive pulmonary disease.

Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease caused by the interaction of genetic susceptibility and environmental influences. There is increasing evidence that genes link to disease pathogenesis and heterogeneity by causing variation in protease anti-protease systems, defence against oxidative stress and inflammation. The main methods of genomic research for complex disease traits are described, together with the genes implicated in COPD thus far, their roles in disease causation and the future for this area of investigation.

Cytokines↗

QualitySNP: a pipeline for detecting single nucleotide polymorphisms and insertions/deletions in EST data from diploid and polyploid species.

BACKGROUND: Single nucleotide polymorphisms (SNPs) are important tools in studying complex genetic traits and genome evolution. Computational strategies for SNP discovery make use of the large number of sequences present in public databases (in most cases as expressed sequence tags (ESTs)) and are considered to be faster and more cost-effective than experimental procedures. A major challenge in computational SNP discovery is distinguishing allelic variation from sequence variation between paralogous sequences, in addition to recognizing sequencing errors. For the majority of the public EST sequences, trace or quality files are lacking which makes detection of reliable SNPs even more difficult because it has to rely on sequence comparisons only. RESULTS: We have developed a new algorithm to detect reliable SNPs and insertions/deletions (indels) in EST data, both with and without quality files. Implemented in a pipeline called QualitySNP, it uses three filters for the identification of reliable SNPs. Filter 1 screens for all potential SNPs and identifies variation between or within genotypes. Filter 2 is the core filter that uses a haplotype-based strategy to detect reliable SNPs. Clusters with potential paralogs as well as false SNPs caused by sequencing errors are identified. Filter 3 screens SNPs by calculating a confidence score, based upon sequence redundancy and quality. Non-synonymous SNPs are subsequently identified by detecting open reading frames of consensus sequences (contigs) with SNPs. The pipeline includes a data storage and retrieval system for haplotypes, SNPs and alignments. QualitySNP's versatility is demonstrated by the identification of SNPs in EST datasets from potato, chicken and humans. CONCLUSION: QualitySNP is an efficient tool for SNP detection, storage and retrieval in diploid as well as polyploid species. It is available for running on Linux or UNIX systems. The program, test data, and user manual are available at http://www.bioinformatics.nl/tools/snpweb/ and as Additional files.

Base Sequence↗

On modeling locus heterogeneity using mixture distributions.

BACKGROUND: Locus heterogeneity poses a major difficulty in mapping genes that influence complex genetic traits. A widely used approach to deal with this problem involves modeling linkage data in terms of finite mixture distributions. In its simplest setup, also known as the admixture approach, a single parameter is used to model the probability that the disease-causing gene of a family is linked to a reference marker. This parameter is usually interpreted as the overall proportion of linked families. RESULTS: In this article, we address two issues regarding the admixture approach. First, we tackle the question of whether the single parameter of linked proportion is well defined in general. By formulating the likelihood under a classification scheme based on distributions, we show that such a parameter is meaningful only when a certain well-characterized condition is met. Second, we study a condition given in the literature for validating the admixture approach. A counter example is constructed to illustrate that the condition does not necessarily lead to valid estimates. CONCLUSIONS: Estimators from the admixture approach may be inconsistent. This holds even if a condition given in the literature to validate the approach is satisfied.

Chromosome Mapping↗

Comparisons of case-selection approaches based on allele sharing and/or disease severity index: application to the GAW14 simulated data.

For mapping complex disease traits, linkage studies are often followed by a case-control association strategy in order to identify disease-associated genes/single-nucleotide polymorphisms (SNPs). Substantial efforts are required in selecting the most informative cases from a large collection of affected individuals in order to maximize the power of the study, while taking into consideration study cost. In this article, we applied and extended three case-selection strategies that use allele-sharing information method for families with multiple affected offspring to select most informative cases using additional information on disease severity. Our results revealed that most significant associations, as measured by the lowest p-values, were obtained from a strategy that selected a case with the most allele sharing with other affected sibs from linked families ("linked-best"), despite reduction in sample size resulting from discarding unlinked families. Moreover, information on disease severity appears to be useful to improve the ability to detect associations between markers and disease loci.

Alleles↗

A quantitative linkage score for an association study following a linkage analysis.

BACKGROUND: Currently, a commonly used strategy for mapping complex quantitative traits is to use a genome-wide linkage analysis to narrow suspected genes to regions on a scale of centiMorgans (cM), followed by an association analysis to fine map the genetic variation in regions showing linkage. Two important questions arise in the design and the resulting inference at the association stage of this sequential procedure: (1) how should we design an efficient association study given the information provided by the previous linkage study? and (2) can an association in a linkage region explain, in part, the detected linkage signal? RESULTS: We derive a quantitative linkage score (QLS) based on Haseman-Elston regression (Haseman and Elston 1972) and make use of this score to address both questions. In designing an association study, the selection of a subsample from the linkage study sample can be guided by the linkage information summarized in the QLS. When heterogeneity exists, we show that selection based on the QLS can increase the proportion of sample individuals from the subpopulation affected by a disease allele and therefore greatly improves the power of the association study. For the resulting inference, we frame as a hypothesis test the question of whether a linkage signal in a region can be in part explained by a marker allele. A simple one sided paired t-statistic is defined by comparing the two sets of QLSs obtained with/without modeling a marker association: a significant difference indicates that the marker can at least partly account for the detected linkage. We also show that this statistic can be used to detect a spurious association. CONCLUSION: All our results suggest that a careful examination of QLSs should be helpful for understanding the results of both association and linkage studies.

Alleles↗

Effects of complex vertebral malformation on fertility in Swedish holstein cattle.

Complex vertebral malformation (CVM) is an autosomal recessive inherited defect in the Holstein breed. It causes intra-uterine mortality through the entire gestation period leading to repeat breeding and involuntary culling of cows and thereby economic losses. The defect was first reported in Denmark in 1999 and a direct DNA test for the defect has been available since February 2001. The aim of this study was to investigate if Holstein bulls heterozygous for the CVM gene had reduced reproductive performance, measured as non-return rate (NRR) and in a daughter fertility index. All genotyped Swedish Holstein bulls born between 1995 and 1999 were included. Altogether 228 bulls were analysed, of which 53 bulls, i.e. 23%, were confirmed CVM carriers. A statistically significant difference between carriers and non-carriers in the relative breeding value for NRR was observed for 168 days NRR (101.1+/-0.9 vs. 103.1+/-0.6, p<0.05). There was no difference for 28 days NRR whereas the difference approached significance for 56 days NRR. No significant effect of the paternal CVM genotype on the daughter fertility index was shown probably due to the complexity of traits this index is composed of. In conclusion, the study showed that carriers of the CVM defect have an inferior NRR compared with non-carriers.

Abnormalities, Multiple↗

Tapasin gene polymorphism in systemic onset juvenile rheumatoid arthritis: a family-based case-control study.

Juvenile rheumatoid arthritis (JRA) comprises a group of chronic systemic inflammatory disorders that primarily affect joints and can cause long-term disability. JRA is likely to be a complex genetic trait, or a series of such traits, with both genetic and environmental factors contributing to the risk for developing the disease and to its progression. The HLA region on the short arm of chromosome 6 has been intensively evaluated for genetic contributors to JRA, and multiple associations, and more recently linkage, has been detected. Other genes involved in innate and acquired immunity also map to near the HLA cluster on 6p, and it is possible that variation within these genes also confers risk for developing JRA. We examined the TPSN gene, which encodes tapasin, an endoplasmic reticulum chaperone that is involved in antigen processing, to elucidate its involvement, if any, in JRA. We employed both a case-control approach and the transmission disequilibrium test, and found linkage and association between the TPSN allele (Arg260) and the systemic onset subtype of JRA. Two independent JRA cohorts were used, one recruited from the Rheumatology Clinic at Cincinnati Children's Hospital Medical Center (82 simplex families) and one collected by the British Paediatric Rheumatology Group in London, England (74 simplex families). The transmission disequilibrium test for these cohorts combined was statistically significant (chi2 = 4.2, one degree of freedom; P = 0.04). Linkage disequilibrium testing between the HLA alleles that are known to be associated with systemic onset JRA did not reveal linkage disequilibrium with the Arg260 allele, either in the Cincinnati systemic onset JRA cohort or in 113 Caucasian healthy individuals. These results suggest that there is a weak association between systemic onset JRA and the TPSN polymorphism, possibly due to linkage disequilibrium with an as yet unknown susceptibility allele in the centromeric part of chromosome 6.

Alleles↗

Psychological profile of the spouse of the female agoraphobic patient. Personality and symptoms.

It has been contended that psychological characteristics of the partner of the agoraphobic patient are important factors in the development and maintenance of the patient's symptoms. To examine this hypothesis, male partners of female agoraphobics were compared with those of non-phobic psychiatric patients and of normal controls on a total of 48 measures referring to several symptom complexes and traits, including defensiveness. The partners of agoraphobics as a group were not found to be more defensive or psychologically more disturbed than their control counterparts. Additional within-couple analyses across groups showed spouses in the control couples to be more comparable to each other than were agoraphobics and their partners-a finding which was attributed to the highly elevated scores of the agoraphobic patients.

Adult↗

The molecular-genetic basis of functional hyperandrogenism and the polycystic ovary syndrome.

The genetic mechanisms underlying functional hyperandrogenism and the polycystic ovary syndrome (PCOS) remain largely unknown. Given the large number of genetic variants found in association with these disorders, the emerging picture is that of a complex multigenic trait in which environmental influences play an important role in the expression of the hyperandrogenic phenotype. Among others, genomic variants in genes related to the regulation of androgen biosynthesis and function, insulin resistance, and the metabolic syndrome, and proinflammatory genotypes may be involved in the genetic predisposition to functional hyperandrogenism and PCOS. The elucidation of the molecular genetic basis of these disorders has been burdened by the heterogeneity in the diagnostic criteria used to define PCOS, the limited sample size of the studies conducted to date, and the lack of precision in the identification of ethnic and environmental factors that trigger the development of hyperandrogenic disorders. Progress in this area requires adequately sized multicenter collaborative studies after standardization of the diagnostic criteria used to classify hyperandrogenic patients, in whom modifying environmental factors such as ethnicity, diet, and lifestyle are identified with precision. In addition to classic molecular genetic techniques such as linkage analysis in the form of a whole-genome scan and large case-control studies, promising genomic and proteomic approaches will be paramount to our understanding of the pathogenesis of functional hyperandrogenism and PCOS, allowing a more precise prevention, diagnosis, and treatment of these prevalent disorders.

Androgens↗

Vitamin D receptor gene haplotype is associated with body height and bone size.

CONTEXT: Adult stature is a complex genetic trait. The vitamin D endocrine system has pleiotropic effects on several physiological processes, especially on skeletal metabolism. We recently identified promoter and 3'-untranslated region (UTR) haplotype alleles that influence vitamin D receptor (VDR) mRNA expression. OBJECTIVE: We studied whether VDR gene variants contribute to the genetic variation in height. DESIGN AND SUBJECTS: We studied VDR haplotype alleles and body height in two independent populations (n=7187). In a meta-analysis (n=14,157 from 27 studies and our current data), we evaluated the effect of the Bsm I polymorphism. RESULTS: Haplotypes of the linkage disequilibrium block 3 and block 5 were associated with body height differences with evidence for additive effects in the Rotterdam Study (P=0.00002) and the Longitudinal Aging Study Amsterdam study (P=0.001). Height differences between the extreme genotypes were 1.4 and 2.7 cm, respectively. The relationship was independent of age, gender, presence of vertebral fractures, and age-related height loss. In the Rotterdam population, we found the combined genotype to be associated with decreased vertebral area (P=0.03) and femoral narrow neck width (P=0.002). In the meta-analysis, subjects with the "BB" genotype were 0.6 cm (95% confidence interval, 0.2-1.1 cm) taller than those with the "bb" genotype (P=0.006). CONCLUSION: VDR gene variants are associated with differences in body height as evidenced by our study and by a meta-analysis. It remains for further studies to confirm whether the underlying mechanism of the association involves lower VDR expression in cells important for determining bone size.

Analysis of Variance↗

Dermatoglyphic fingerprint heterogeneity among individuals with nonsyndromic cleft lip with or without cleft palate and their unaffected relatives in China and the Philippines.

Cleft lip with or without cleft palate (CL/P) is a common birth defect (birth prevalence ranging from 1/500 to 1/2,000) with a complex etiology. Traits potentially related to CL/P, such as dermatoglyphics, may reflect the genetic and epidemiologic heterogeneity observed in CL/P. Such phenotypic heterogeneity in dermatoglyphic patterns may account for some of the variability in previously reported associations of dermatoglyphics and CL/P. To test this hypothesis, we took dermatoglyphic prints from individuals with nonsyndromic CL/P (n = 460) and their unaffected relatives (n = 254) from the Philippines and China. For both samples three raters designated the patterns as arch, ulnar loop, radial loop, whorl, or "other." Chi-square analysis and standard ANOVA were used to investigate heterogeneity between Filipino and Chinese study subjects. The significant associations between particular pattern types and CL/P were not the same in both populations, demonstrating population-specific association of CL/P and dermatoglyphic pattern types. The ANOVA of pattern type included both CL/P cases and their relatives, with affection status, sex, and population group as variables. For each pattern type except arches, population was significant (p < 0.0001); for radial loops, affection status was additionally significant (p < 0.0001). When only CL/P cases were considered, population was again significant for the ulnar loop (p < 0.0001), whorl (p < 0.0001), and "other" (p = 0.0002) patterns. The ANOVAs demonstrate between-population heterogeneity in dermatoglyphic pattern types. These results support our hypothesis that population-specific associations and population heterogeneity in dermatoglyphic patterns exist for CL/P cases and their relatives.

Analysis of Variance↗

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↗

Variance components models for gene-environment interaction in twin analysis.

Gene-environment interaction is likely to be a common and important source of variation for complex behavioral traits. Often conceptualized as the genetic control of sensitivity to the environment, it can be incorporated in variance components twin analyses by partitioning genetic effects into a mean part, which is independent of the environment, and a part that is a linear function of the environment. The model allows for one or more environmental moderator variables (that possibly interact with each other) that may i). be continuous or binary ii). differ between twins within a pair iii). interact with residual environmental as well as genetic effects iv) have nonlinear moderating properties v). show scalar (different magnitudes) or qualitative (different genes) interactions vi). be correlated with genetic effects acting upon the trait, to allow for a test of gene-environment interaction in the presence of gene-environment correlation. Aspects and applications of a class of models are explored by simulation, in the context of both individual differences twin analysis and, in a companion paper (Purcell & Sham, 2002) sibpair quantitative trait locus linkage analysis. As well as elucidating environmental pathways, consideration of gene-environment interaction in quantitative and molecular studies will potentially direct and enhance gene-mapping efforts.

Computer Simulation↗

X inactivation as a source of behavioural differences in monozygotic female twins.

Although members of monozygotic twin pairs are identical in genome sequence, they may differ in patterns of gene expression. One early and irreversible process affecting gene expression, which can create differences within pairs of female monozygotic twins, is X inactivation - one twin can express mainly paternally-received genes on the X chromosome while the other twin expresses mainly maternally-received genes. It follows that non-identical X chromosome expression may cause female monozygotic twins to correlate less strongly than male monozygotic twins on complex behavioural traits affected by X-linked loci. We tested this hypothesis using data from around 4000 same-sex twin pairs on 9 social, behavioural and cognitive measures at ages 2, 3 and 4. Consistent with our hypothesis, monozygotic males were generally more similar than monozygotic females. Three of four significant differences were in traits showing higher correlations in males than females, and these traits - prosocial behaviour, peer problems, and verbal ability - have all been proposed previously in the literature as being influenced by genes on the X chromosome. Interestingly, dizygotic twins showed the reverse pattern of correlations for similar variables, which is also consistent with the X inactivation hypothesis; taken together, then, our monozygotic and dizygotic results suggest the presence of quantitative trait loci on the X chromosome.

Behavior↗