Association analysis of the plasminogen activator inhibitor-1 4G/5G polymorphism in Hispanics and African Americans: the IRAS family study

OBJECTIVE: Plasminogen activator inhibitor type-1 (PAI-1) plays a central role in fibrolysis and has recently been hypothesized to influence components of the insulin resistance syndrome. We consider whether the 4G/5G polymorphism influences components of insulin resistance and obesity solely through PAI-1 protein levels or also though a secondary pathway. In addition, we explore whether transforming growth factor (TGF-beta1), a key regulator of PAI-1 expression, modifies the influence of the PAI-1 4G/5G polymorphism on these traits. METHODS AND RESULTS: The Insulin Resistance and Atherosclerosis (IRAS) Family Study genotyped 287 African American (18 pedigrees) and 811 Hispanic American (45 pedigrees) individuals for the 4G/5G PAI-1 and two TGF-beta1 polymorphisms (R25P, C-509T). Individuals were recruited from three clinical centers located in San Antonio (urban Hispanic), San Luis Valley (rural Hispanic) and Los Angeles (African American). The presence of the 4G PAI-1 allele was positively associated with PAI-1 protein level (combined sample p < 0.0001). Hispanic Americans average 65% higher PAI-1 protein levels than African Americans (p < 0.0001). Consistently across ethnic groups, increased PAI-1 protein levels were associated with increased insulin resistance and overall and central obesity (p value < 0.0001, combined sample). Adjusting for PAI-1 protein levels, there was evidence of an association of PAI-1 genotype (4G) with insulin sensitivity (p < 0.002) and subcutaneous fat (p < 0.01). These associations were not influenced by TGF-beta1 genotypes. CONCLUSIONS: PAI-1 protein is a strong correlate of insulin resistance (IR) and obesity in Hispanics and African Americans. However, PAI-1 4G/5G polymorphism appears to influence insulin resistance and obesity beyond its direct influence on serum PAI-1 protein levels.     

Oligomerization of signaling complexes by the multipoint binding of GRB2 to both LAT and SOS1

Receptor oligomerization is vital for activating intracellular signaling, in part by initiating events that recruit effector and adaptor proteins to sites of active signaling. Whether these distal molecules themselves oligomerize is not well appreciated. In this study, we examined the molecular interactions of the adaptor protein GRB2. In T cells, the SH2 domain of GRB2 binds phosphorylated tyrosines on the adaptor protein LAT and the GRB2 SH3 domains associate with the proline-rich regions of SOS1 and CBL. Using biochemical and biophysical techniques in conjunction with confocal microscopy, we observed that the simultaneous association of GRB2, via its SH2 and SH3 domains, with multivalent ligands led to the oligomerization of these ligands, which affected signaling. These data suggest that multipoint binding of distal adaptor proteins mediates the formation of oligomeric signaling clusters vital for intracellular signaling.     

Exploiting collider bias to apply two-sample summary data Mendelian randomization methods to one-sample individual level data

Over the last decade the availability of SNP-trait associations from genome-wide association studies has led to an array of methods for performing Mendelian randomization studies using only summary statistics. A common feature of these methods, besides their intuitive simplicity, is the ability to combine data from several sources, incorporate multiple variants and account for biases due to weak instruments and pleiotropy. With the advent of large and accessible fully-genotyped cohorts such as UK Biobank, there is now increasing interest in understanding how best to apply these well developed summary data methods to individual level data, and to explore the use of more sophisticated causal methods allowing for non-linearity and effect modification.In this paper we describe a general procedure for optimally applying any two sample summary data method using one sample data. Our procedure first performs a meta-analysis of summary data estimates that are intentionally contaminated by collider bias between the genetic instruments and unmeasured confounders, due to conditioning on the observed exposure. These estimates are then used to correct the standard observational association between an exposure and outcome. Simulations are conducted to demonstrate the method’s performance against naive applications of two sample summary data MR. We apply the approach to the UK Biobank cohort to investigate the causal role of sleep disturbance on HbA1c levels, an important determinant of diabetes.Our approach can be viewed as a generalization of Dudbridge et al. (Nat. Comm. 10: 1561), who developed a technique to adjust for index event bias when uncovering genetic predictors of disease progression based on case-only data. Our work serves to clarify that in any one sample MR analysis, it can be advantageous to estimate causal relationships by artificially inducing and then correcting for collider bias.     

Transforming clinical microbiology with bacterial genome sequencing

Whole-genome sequencing of bacteria has recently emerged as a cost-effective and convenient approach for addressing many microbiological questions. Here, we review the current status of clinical microbiology and how it has already begun to be transformed by using next-generation sequencing. We focus on three essential tasks: identifying the species of an isolate, testing its properties, such as resistance to antibiotics and virulence, and monitoring the emergence and spread of bacterial pathogens. We predict that the application of next-generation sequencing will soon be sufficiently fast, accurate and cheap to be used in routine clinical microbiology practice, where it could replace many complex current techniques with a single, more efficient workflow.     

Applications of small molecule activators and inhibitors of quorum sensing in Gram-negative bacteria

Quorum sensing is a form of intercellular communication used by many species of bacteria that facilitates concerted interactions between the cells comprising a population. The phenotypes regulated by quorum sensing are extremely diverse, with many having a significant impact upon healthcare, agriculture, and the environment. Consequently there has been significant interest in developing methods to manipulate this signalling process and recent years have witnessed significant theoretical and practical developments. A wide range of small molecule modulators of quorum sensing systems has been discovered, providing an expansive chemical toolbox for the study and modulation of this signalling mechanism. In this review, a selection of recent case studies which illustrate the value of both activators and inhibitors of quorum sensing in Gram-negative bacteria are discussed.     

Alignment of genetic and physical maps of Gibberella zeae

We previously published a genetic map of Gibberella zeae (Fusarium graminearum sensu lato) based on a cross between Kansas strain Z-3639 (lineage 7) and Japanese strain R-5470 (lineage 6). In this study, that genetic map was aligned with the third assembly of the genomic sequence of G. zeae strain PH-1 (lineage 7) using seven structural genes and 108 sequenced amplified fragment length polymorphism markers. Several linkage groups were combined based on the alignments, the nine original linkage groups were reduced to six groups, and the total size of the genetic map was reduced from 1,286 to 1,140 centimorgans. Nine supercontigs, comprising 99.2% of the genomic sequence assembly, were anchored to the genetic map. Eight markers (four markers from each parent) were not found in the genome assembly, and four of these markers were closely linked, suggesting that >150 kb of DNA sequence is missing from the PH-1 genome assembly. The alignments of the linkage groups and supercontigs yielded four independent sets, which is consistent with the four chromosomes reported for this fungus. Two proposed heterozygous inversions were confirmed by the alignments; otherwise, the colinearity of the genetic and physical maps was high. Two of four regions with segregation distortion were explained by the two selectable markers employed in making the cross. The average recombination rates for each chromosome were similar to those previously reported for G. zeae. Despite an inferred history of genetic isolation of lineage 6 and lineage 7, the chromosomes of these lineages remain homologous and are capable of recombination along their entire lengths, even within the inversions. This genetic map can now be used in conjunction with the physical sequence to study phenotypes (e.g., fertility and fitness) and genetic features (e.g., centromeres and recombination frequency) that do not have a known molecular signature in the genome.     

Estimating Physical Distances from Radiation Hybrid Mapping Data

Radiation hybrid mapping has become an established tool for building physical maps. It represents a powerful way of constructing YAC contigs and high-resolution maps for positional cloning experiments. Ideally, radiation hybrids should not only provide support for the true order of the markers, but also accurate estimates of the physical distances between them. Statistical analysis of radiation hybrids has proved difficult because of the number of parameters (representing the fragment retention probabilities) that must be estimated, and simplifying assumptions are needed to analyze large numbers of markers simultaneously. The ramifications of these assumptions for the calculation of physical distances are investigated. A simple two-locus model is presented to demonstrate that variation in marker retention can lead to distortions in the estimates of distance. Multilocus simulations show that, when marker retention is constant across the chromosome, good estimates of physical distance can be derived using simple models of retention. However, further simulations exploring variable retention schemes demonstrate that significant errors in the estimates of map distances can occur. Ways of minimizing these distortions are discussed.     

The Prevalence and Magnitude of Impaired Cutaneous Sensation across the Hand in the Chronic Period Post-Stroke

Sensation is commonly impaired immediately post-stroke but little is known about the long-term changes in cutaneous sensation that have the capacity to adversely impact independence and motor-function. We investigated cutaneous sensory thresholds across the hand in the chronic post-stroke period. Cutaneous sensation was assessed in 42 community-dwelling stroke patients and compared to 36 healthy subjects. Sensation was tested with calibrated monofilaments at 6 sites on the hand that covered the median, ulnar and radial innervation territories and included both glabrous (hairless) and hairy skin. The motor-function of stroke patients was assessed with the Wolf Motor Function Test and the upper-limb motor Fugl-Meyer Assessment. Impaired cutaneous sensation was defined as monofilament thresholds >3 SD above the mean of healthy subjects and good sensation was ≤3 SD. Cutaneous sensation was impaired for 33% of patients and was 40–84% worse on the more-affected side compared to healthy subjects depending on the site (p<0.05). When the stroke patient data were pooled cutaneous sensation fell within the healthy range, although ∼1/3 of patients were classified with impaired sensation. Classification by motor-function revealed low levels of impaired sensation. The magnitude of sensory loss was only apparent when the sensory-function of stroke patients was classified as good or impaired. Sensation was most impaired on the dorsum of the hand where age-related changes in monofilament thresholds are minimal in healthy subjects. Although patients with both high and low motor-function had poor cutaneous sensation, overall patients with low motor-function had poorer cutaneous sensation than those with higher motor-function, and relationships were found between motor impairments and sensation at the fingertip and palm. These results emphasize the importance of identifying the presence and magnitude of cutaneous sensory impairments in the chronic period after stroke.