Biomedical subjects

Jonathan Flint

Publications and source records attributed to Jonathan Flint.

At least 37 records · Page 2Linked to original sources

PubMed2005

Strategies for mapping and cloning quantitative trait genes in rodents.

Over the past 15 years, more than 2,000 quantitative trait loci (QTLs) have been identified in crosses between inbred strains of mice and rats, but less than 1% have been characterized at a molecular level. However, new resources, such as chromosome substitution strains and the proposed Collaborative Cross, together with new analytical tools, including probabilistic ancestral haplotype reconstruction in outbred mice, Yin-Yang crosses and in silico analysis of sequence variants in many inbred strains, could make QTL cloning tractable. We review the potential of these strategies to identify genes that underlie QTLs in rodents.

Animals↗

PubMed2005

Enhanced early morning salivary cortisol in neuroticism.

OBJECTIVE: Neuroticism is a predisposing factor for major depression. The increase in salivary cortisol that follows waking provides a reliable measure of adrenocortical activity, and this response is increased in recovered depressed patients. This study compared waking cortisol levels in healthy subjects with high and low levels of neuroticism without a previous history of depression. METHOD: Salivary cortisol levels were measured upon waking and at 15-minute intervals for the next hour in volunteers selected to have high (>19/23) or low (<4/23) neuroticism based on the Eysenck Personality Inventory. RESULTS: Subjects with high neuroticism showed significantly greater levels of salivary cortisol 30 minutes after waking, which were maintained for the next half hour. CONCLUSIONS: Abnormalities in waking cortisol are associated with neuroticism in a way similar to those seen in major depression. Elevated waking cortisol may represent a vulnerability marker for mood disorder.

Biomarkers↗

PubMed2004

Assessing publication bias in genetic association studies: evidence from a recent meta-analysis.

Publication bias may exist when nonsignificant findings remain unpublished, thereby artificially inflating the apparent magnitude of an effect. This concern is not new, but it is particularly current in relation to genetic association studies. Data from a recent meta-analysis of association studies of personality were used to assess the potential of different graphical and statistical methods for assessing evidence of publication bias. The results suggest that no single method is sufficient for assessing evidence of publication bias, and that such methods may also offer insight into potential sources of heterogeneity, which may in turn guide the design of future studies.

Humans↗

PubMed2004

Genetic dissection of a behavioral quantitative trait locus shows that Rgs2 modulates anxiety in mice.

Here we present a strategy to determine the genetic basis of variance in complex phenotypes that arise from natural, as opposed to induced, genetic variation in mice. We show that a commercially available strain of outbred mice, MF1, can be treated as an ultrafine mosaic of standard inbred strains and accordingly used to dissect a known quantitative trait locus influencing anxiety. We also show that this locus can be subdivided into three regions, one of which contains Rgs2, which encodes a regulator of G protein signaling. We then use quantitative complementation to show that Rgs2 is a quantitative trait gene. This combined genetic and functional approach should be applicable to the analysis of any quantitative trait.

Animals↗

PubMed2004

New semidominant mutations that affect mouse development.

Dominantly acting mutations that produce visible phenotypes are frequently recovered, either during routine maintenance of colonies or from mutagenesis experiments. We have studied 12 dominant mouse mutations that cause a tail dysmorphology, a coat spotting phenotype, or a combination of these. The majority of these mutations act in a semidominant manner with the homozygous state associated with embryonic lethality and a visible phenotype at or before midgestation. The homozygous phenotypes include axis truncation and neural crest cell defects, as may be expected from the heterozygous phenotypes. The majority of mutations, however, also produced other phenotypes that include neural tube closure defects and aberrant heart looping. In one coat spotting mutant the homozygous condition is lethal before neural crest cell production commences. The mutated genes often function in processes additional to those alluded to by the heterozygous phenotype.

Alkylating Agents↗

PubMed2004

Multivariate analysis of quantitative trait loci influencing variation in anxiety-related behavior in laboratory mice.

The number and mode of action of quantitative trait loci (QTL) that contribute to behavioral variation in rodents is still largely unknown. On theoretical grounds, multivariate techniques are expected to yield new insights into this problem, but there are only a few examples of its application in practice. Here we explore the power of multivariate approaches to uncover the genetic architecture of 23 anxiety-related phenotypes in 1636 F2 laboratory mice. We detected QTL with a genome-wide significance threshold of P < 0.05 on 14 chromosomes, of which 10 correspond to those identified by univariate analysis. Novel QTL were found on Chromosomes 3, 9, 13, and 17. Thus, multivariate analyses increased the yield of QTL exceeding a genome-wide significance threshold by 40%. On the basis of these results and by the application of a QTL estimator, we show that the mean number of QTL influencing anxiety-related behavior in mice is 6, with a 95% upper limit of 14.

Animals↗

PubMed2004

Little epistasis for anxiety-related measures in the DeFries strains of laboratory mice.

Recent advances in methodologies for testing epistatic interactions, combined with several successes in demonstrating genetic interaction effects in animal and human genetics, have rekindled interest in the role of epistatic influences on complex traits. It has even been suggested that the unacknowledged presence of epistasis vitiates the genetic dissection of human and animal behavior. Here we report a genome-wide interaction analysis of 1636 F2 mice to show that epistasis is of minimal importance in an animal model of anxiety. By using a sufficiently large sample of F2 animals, we provide evidence that interaction effects between any two loci contribute less than 5% to the total phenotypic variance in multiple tests of anxiety. We conclude that interactions between loci do not necessarily vitiate the genetic analysis of behavior in at least one animal model of anxiety.

Analysis of Variance↗

PubMed2004

The genetic basis of neuroticism.

Gray has drawn upon genetic evidence to argue for the existence of rodent emotionality, a model of human neuroticism. With the advent of molecular mapping techniques it has become possible to test this hypothesis. Here I review the progress that has been made, largely in animal genetic studies, demonstrating that a common set of genes act pleiotropically on measures of emotionality. More recently, evidence has emerged supporting the view that the same genes influence variation in both rodent and human phenotypes.

Animals↗

PubMed2004

Meta-analysis of genetic association studies.

Meta-analysis, a statistical tool for combining results across studies, is becoming popular as a method for resolving discrepancies in genetic association studies. Persistent difficulties in obtaining robust, replicable results in genetic association studies are almost certainly because genetic effects are small, requiring studies with many thousands of subjects to be detected. In this article, we describe how meta-analysis works and consider whether it will solve the problem of underpowered studies or whether it is another affliction visited by statisticians on geneticists. We show that meta-analysis has been successful in revealing unexpected sources of heterogeneity, such as publication bias. If heterogeneity is adequately recognized and taken into account, meta-analysis can confirm the involvement of a genetic variant, but it is not a substitute for an adequately powered primary study.

Animals↗

PubMed2004

Congenic mapping and genotyping of the tetrahydrobiopterin-deficient hph-1 mouse.

The hph-1 ENU-mutant mouse provides a model of tetrahydrobiopterin deficiency for studying hyperphenylalaninaemia, dopa-response dystonia, and vascular dysfunction. We have successively localized the hph-1 mutation to a congenic interval of 1.6-2.8 Mb, containing the GCH gene encoding GTP cyclohydrolase I (GTP-CH I). We used these data to establish a PCR method for genotyping wild type, hph-1 and heterozygote mice, and found that heterozygote animals have partial tetrahydrobiopterin deficiency. These new findings will extend the utility of the hph-1 mouse in studies of GTP-CH I deficiency.

Animals↗

PubMed2004

The use of subtelomeric probes to study mental retardation.

In this chapter, we focus on the genetic basis of mental retardation (MR), specifically the use of subtelomeric probes to provide new diagnoses in idiopathic MR. We discuss both the background to the clinical demand for diagnoses and the technological advances that culminated in the development of subtelomeric testing strategies. We explain the theory behind these strategies and briefly outline the protocols involved, giving the advantages, limitations, and pitfalls of the analyses. Finally, we give an overview of the MR subtelomeric studies to date and how subtelomeric testing has become a widely used tool in clinical diagnostic laboratories, particularly in the diagnosis of unexplained MR, but also in other fields of clinical medicine. The conclusion addresses the overall impact that subtelomeric testing has had on the diagnosis of MR, the implications for patients and their families, and future research avenues for exploring the genetic causes of MR and improving our overall understanding of neurocognitive development.

Chromosome Banding↗

PubMed2004

QTL analysis of multiple behavioral measures of anxiety in mice.

In a test battery consisting of an open-field arena, a light-dark box, a mirror-chamber box, an elevated plus maze, and an elevated square maze, 1,671 mice were tested, generating over 100 putative measures of anxiety in rodents. Quantitative trait loci (QTL) analysis was carried out on all measures, plus composite measures and phenotypic factor scores. Significant LOD scores were found for QTL on 17 chromosomes, with large and consistent QTL behavioral effects on chromosomes 1, 4, 7, 8, 14, 15, l8, and X. QTL on chromosomes 4 and 8 largely influence locomotor activity in both home cages and novel environments, whereas QTL on chromosomes 1, 15, and 18 influence anxiety-related behaviors. Five genetically separable, cross-test dimensions of anxiety could be identified: (i) the suppression of locomotor activity in low to moderately anxiogenic regions of the tests; (ii) a shift toward proportionally less time and activity spent in high-anxiogenic test areas; (iii) the suppression of rearing behavior; (iv) increased latency to enter novel areas; (v) increased autonomic responses, as assessed by defecation and urination. Patterns of QTL influence on cross-test composite scores were distinctive. For example, the QTL on chromosome 1 strongly influenced safe-area locomotor activity (LOD = 35) and autonomic responses (LOD = 16), whereas the QTL on chromosome 15 influenced the proportion of activity in high-anxiogenic areas (LOD = 16), latency to enter novel areas (LOD = 36) and rearing behavior (LOD = 57). Phenotypic factor analysis identified factors heavily loaded on single tests, rather than cross-test factors. The use of factor analysis or within-test principal components for data reduction before genetic analysis was less satisfactory than using genetic dissection methods on the original measures and logically derived composites.

Animals↗

PubMed2003

Genetic mapping of variation in spatial learning in the mouse.

Inbred strains of mice are known to differ in their performance in the Morris water maze task, a test of spatial discrimination and place navigation in rodents, but the genetic basis of individual variation in spatial learning is unknown. We have mapped genetic effects that contribute to the difference between two strains, DBA/2 and C57BL6/J, using an F2 intercross and methods to detect quantitative trait loci (QTL). We found two QTL, one on chromosome 4 and one on chromosome 12, that influence behavior in the probe trial of the water maze (genome-wide significance p = 0.017 and 0.015, respectively). By including tests of avoidance conditioning and behavior in a novel environment, we show that the QTL on chromosomes 4 and 12 specifically influence variation in spatial learning. QTL that influence differences in fearful behavior (on chromosomes 1, 3, 7, 15, and 19) operate while mice are trained in the water maze apparatus.

Animals↗

PubMed2003

Characterization of embryonic globin genes of the zebrafish.

Hemoglobin switching is a complex process by which distinct globin chains are produced during stages of development. In an effort to characterize the process of hemoglobin switching in the zebrafish model system, we have isolated and characterized several embryonic globin genes. The embryonic and adult globin genes are found in clusters in a head-to-head configuration. One cluster of embryonic and adult genes is localized to linkage group 3, whereas another embryonic cluster is localized on linkage group 12. Several embryonic globin genes demonstrate an erythroid-specific pattern of expression early during embryogenesis and later are downregulated as definitive hematopoiesis occurs. We utilized electrospray mass spectroscopy to correlate globin genes and protein expression in developing embryonic red cells. The mutation, zinfandel, has a hypochromic microcytic anemia as an embryo, but later recovers in adulthood. The zinfandel gene maps to linkage group 3 near the major globin gene locus, strongly suggesting that zinfandel represents an embryonic globin defect. Our studies are the first to systematically evaluate the embryonic globins in the zebrafish and will ultimately be useful in evaluating zebrafish mutants with defects in hemoglobin production and switching.

Amino Acid Sequence↗

PubMed2003

Linkage analysis of extremely discordant and concordant sibling pairs identifies quantitative-trait loci that influence variation in the human personality trait neuroticism.

Several theoretical studies have suggested that large samples of randomly ascertained siblings can be used to ascertain phenotypically extreme individuals and thereby increase power to detect genetic linkage in complex traits. Here, we report a genetic linkage scan using extremely discordant and concordant sibling pairs, selected from 34,580 sibling pairs in the southwest of England who completed a personality questionnaire. We performed a genomewide scan for quantitative-trait loci (QTLs) that influence variation in the personality trait of neuroticism, or emotional stability, and we established genomewide empirical significance thresholds by simulation. The maximum pointwise P values, expressed as the negative logarithm (base 10), were found on 1q (3.95), 4q (3.84), 7p (3.90), 12q (4.74), and 13q (3.81). These five loci met or exceeded the 5% genomewide significance threshold of 3.8 (negative logarithm of the P value). QTLs on chromosomes 1, 12, and 13 are likely to be female specific. One locus, on chromosome 1, is syntenic with that reported from QTL mapping of rodent emotionality, an animal model of neuroticism, suggesting that some animal and human QTLs influencing emotional stability may be homologous.

Adult↗

PubMed2003

Analysis of quantitative trait loci that influence animal behavior.

Behavioral differences between inbred strains of mice and rats have a genetic basis that can now be dissected using quantitative trait locus (QTL) analysis. Over the last 10 years, a large number of genetic loci that influence behavior have been mapped. In this article I review what that information has revealed about the genetic architecture of behavior. I show that most behaviors are influenced by QTL of small effect, each contributing to less than 10% of the variance of a behavioral trait. The small effect of each QTL on behavioral variation suggests that the mutational spectrum is different from that which results in Mendelian disorders. Regions of DNA should be appropriately prioritized to find the molecular variants, for instance by looking at sequences that control the level of gene expression rather than variants in coding regions. While the number of allelic loci that can contribute to a trait is large, this is not necessarily the case: the analysis of selected strains shows that a remarkably small number of QTL can explain the bulk of the genetic variation in behavior. I conclude by arguing that genetic mapping has more to offer than a starting point for positional cloning projects. With advances in multivariate analyses, mapping can also test hypotheses about the psychological processes that give rise to behavioral variation.

Animals↗

PubMed2003

Fine scale mapping of a genetic locus for conditioned fear.

Fear conditioning is one of a number of models for investigating the genetic basis of individual variation in emotion and learning. Genetic mapping using crosses between strains of laboratory mice has identified a locus on chromosome one that appears to influence not only variation in conditioned fear, but also in other validated tests of fear-related behaviour, (including the open-field and the elevated-plus maze), suggesting that the rodent locus may act in ways consistent with how a locus influencing susceptibility to anxiety in humans is believed to operate. Here we use high-resolution mapping in genetically heterogeneous mice to show that a quantitative trait locus influencing conditioned fear can be separated from loci influencing open-field activity. Mapping in two different heterogeneous stocks, the Boulder and Northport HS, gave similar map locations for open-field activity at two positions on the current mouse physical map, one at 162 Mb on chromosome one (negative log P-value 5.4) the other at 173 Mb (negative log P-value 4.8), while mapping of contextual conditioned fear in the Boulder HS identified a locus at 170 Mb (negative log P-value 5.4). Estimates of the 95% confidence intervals show that the locations do not overlap. The region containing a gene or genes that influence variation in conditioned fear is approximately 1 megabase in size and contains only one gene of known function, a pre-B cell leukaemia factor.

Animals↗

PubMed2003

A strategy for the integration of QTL, gene expression, and sequence analyses.

Although hundreds if not thousands of quantitative trait loci (QTL) have been described for a wide variety of complex traits, only a very small number of these QTLs have been reduced to quantitative trait genes (QTGs) and quantitative trait nucleotides (QTNs). A strategy, Multiple Cross Mapping (MCM), is described for detecting QTGs and QTNs that is based on leveraging the information contained within the haplotype structure of the mouse genome. As described in the current report, the strategy utilizes the six F(2) intercrosses that can be formed from the C57BL/6J (B6), DBA/2J (D2), BALB/cJ (C), and LP/J (LP) inbred mouse strains. Focusing on the phenotype of basal locomotor activity, it was found that in all three B6 intercrosses, a QTL was detected on distal Chromosome (Chr) 1; no QTL was detected in the other three intercrosses, and thus, it was assumed that at the QTL, the C, D2, and LP strains had functionally identical alleles. These intercross data were used to form a simple algorithm for interrogating microsatellite, single nucleotide polymorphism (SNP), brain gene expression, and sequence databases. The results obtained point to Kcnj9 (which has a markedly lower expression in the B6 strain) as being the likely QTG. Further, it is suggested that the lower expression in the B6 strain results from a polymorphism in the 5'-UTR that disrupts the binding of at least three transcription factors. Overall, the method described should be widely applicable to the analysis of QTLs.

Algorithms↗