Sequence Variants of the POMC Gene and Their Associations with Body Composition in Children

We investigated POMC sequence variants in 242 overweight and nonoverweight African‐American and white children and examined the associations between body composition and POMC polymorphisms. Three novel polymorphisms and two previously identified sequence variants were found: A7301G, A7429G, and C8246T were all in untranslated regions. A 9‐bp (AGC AGC GGC) duplication/insertion was found between positions 7677 and 7678, and one normal‐weight African‐American girl had a 45‐bp triple duplication/insertion at this location. Compared with whites, African‐American children were significantly more likely to have polymorphisms A7301G, A7429G, and the 9‐bp insertion. However, there were no significant associations between any of the polymorphisms and body composition. Five African‐American subjects who were homozygous for A7429G had a trend (p = 0.08) for a greater BMI‐SD score (5.3 ± 5.3 kg/m²) compared with wild‐type children (BMI‐SD score, 2.4 ± 3.2 kg/m²) or heterozygotes (BMI‐SD score, 2.7 ± 3.7 kg/m²). However, there were no differences in BMI‐SD score for A7429G when African American subjects were studied separately and both gender and height were taken into account. The contribution of the POMC gene variants we studied to pediatric‐onset obesity seems to be limited.     

In vitro human keratinocyte migration rates are associated with SNPs in the KRT1 interval

Efforts to develop effective therapeutic treatments for promoting fast wound healing after injury to the epidermis are hindered by a lack of understanding of the factors involved. Re-epithelialization is an essential step of wound healing involving the migration of epidermal keratinocytes over the wound site. Here, we examine genetic variants in the keratin-1 (KRT1) locus for association with migration rates of human epidermal keratinocytes (HEK) isolated from different individuals. Although the role of intermediate filament genes, including KRT1, in wound activated keratinocytes is well established, this is the first study to examine if genetic variants in humans contribute to differences in the migration rates of these cells. Using an in vitro scratch wound assay we observe quantifiable variation in HEK migration rates in two independent sets of samples; 24 samples in the first set and 17 samples in the second set. We analyze genetic variants in the KRT1 interval and identify SNPs significantly associated with HEK migration rates in both samples sets. Additionally, we show in the first set of samples that the average migration rate of HEK cells homozygous for one common haplotype pattern in the KRT1 interval is significantly faster than that of HEK cells homozygous for a second common haplotype pattern. Our study demonstrates that genetic variants in the KRT1 interval contribute to quantifiable differences in the migration rates of keratinocytes isolated from different individuals. Furthermore we show that in vitro cell assays can successfully be used to deconstruct complex traits into simple biological model systems for genetic association studies.     

Candida albicans Kinesin Kar3 Depends on a Cik1-Like Regulatory Partner Protein for Its Roles in Mating,Cell Morphogenesis,and Bipolar Spindle Formation

Candida albicans is a major fungal pathogen whose virulence is associated with its ability to transition from a budding yeast form to invasive hyphal filaments. The kinesin-14 family member CaKar3 is required for transition between these morphological states, as well as for mitotic progression and karyogamy. While kinesin-14 proteins are ubiquitous, CaKar3 homologs in hemiascomycete fungi are unique because they form heterodimers with noncatalytic kinesin-like proteins. Thus, CaKar3-based motors may represent a novel antifungal drug target. We have identified and examined the roles of a kinesin-like regulator of CaKar3. We show that orf19.306 (dubbed CaCIK1) encodes a protein that forms a heterodimer with CaKar3, localizes CaKar3 to spindle pole bodies, and can bind microtubules and influence CaKar3 mechanochemistry despite lacking an ATPase activity of its own. Similar to CaKar3 depletion, loss of CaCik1 results in cell cycle arrest, filamentation defects, and an inability to undergo karyogamy. Furthermore, an examination of the spindle structure in cells lacking either of these proteins shows that a large proportion have a monopolar spindle or two dissociated half-spindles, a phenotype unique to the C. albicans kinesin-14 homolog. These findings provide new insights into mitotic spindle structure and kinesin motor function in C. albicans and identify a potentially vulnerable target for antifungal drug development.     

Pulse perturbations from bacterial decomposition of <Emphasis Type="Italic">Chrysaora</Emphasis><Emphasis Type="Italic">quinquecirrha</Emphasis> (Scyphozoa: Pelagiidae)

Bacteria decomposed damaged and moribund Chrysaora quinquecirrha Desor, 1848 releasing a pulse of carbon and nutrients. Tissue decomposed in 5–8 days, with 14 g of wet biomass exhibiting a half-life of 3 days at 22°C, which is 3× longer than previous reports. Decomposition raised mean concentrations of organic carbon and nutrients above controls by 1–2 orders of magnitude. An increase in nitrogen (16,117 μg l⁻¹) occurred 24 h after increases in phosphorus (1,365 μg l⁻¹) and organic carbon (25 mg l⁻¹). Cocci dominated control incubations, with no significant increase in numbers. In incubations of tissue, bacilli increased exponentially after 6 h to become dominant, and cocci reproduced at a rate that was 30% slower. These results, and those from previous studies, suggested that natural assemblages may include bacteria that decompose medusae, as well as bacteria that benefit from the subsequent release of carbon and nutrients. This experiment also indicated that proteins and other nitrogenous compounds are less labile in damaged medusae than in dead or homogenized individuals. Overall, dense patches of decomposing medusae represent an important, but poorly documented, component of the trophic shunt that diverts carbon and nutrients incorporated by gelatinous zooplankton into microbial trophic webs.     

Fine Mapping in 94 Inbred Mouse Strains Using a High-Density Haplotype Resource

The genetics of phenotypic variation in inbred mice has for nearly a century provided a primary weapon in the medical research arsenal. A catalog of the genetic variation among inbred mouse strains, however, is required to enable powerful positional cloning and association techniques. A recent whole-genome resequencing study of 15 inbred mouse strains captured a significant fraction of the genetic variation among a limited number of strains, yet the common use of hundreds of inbred strains in medical research motivates the need for a high-density variation map of a larger set of strains. Here we report a dense set of genotypes from 94 inbred mouse strains containing 10.77 million genotypes over 121,433 single nucleotide polymorphisms (SNPs), dispersed at 20-kb intervals on average across the genome, with an average concordance of 99.94% with previous SNP sets. Through pairwise comparisons of the strains, we identified an average of 4.70 distinct segments over 73 classical inbred strains in each region of the genome, suggesting limited genetic diversity between the strains. Combining these data with genotypes of 7570 gap-filling SNPs, we further imputed the untyped or missing genotypes of 94 strains over 8.27 million Perlegen SNPs. The imputation accuracy among classical inbred strains is estimated at 99.7% for the genotypes imputed with high confidence. We demonstrated the utility of these data in high-resolution linkage mapping through power simulations and statistical power analysis and provide guidelines for developing such studies. We also provide a resource of in silico association mapping between the complex traits deposited in the Mouse Phenome Database with our genotypes. We expect that these resources will facilitate effective designs of both human and mouse studies for dissecting the genetic basis of complex traits.PHENOTYPIC variation among inbred mouse strains exposed to a disease-causing agent (be it genetic, infectious, or environmental) provides potential insight into human disease processes that often cannot be practically achieved through direct human studies. Indeed, hundreds of phenotype measurements related to human diseases are available for dozens of inbred strains in common use over the past 50–100 years (Bogue et al. 2007; Grubb et al. 2009). As with the direct study of chronic disease in humans, key steps toward determining the genetic underpinnings of this phenotypic variation are to develop a catalog of the genetic variation among inbred mouse strains and to interpret the structure of variation patterns across the strains. Recent advances in high-throughput genotyping and DNA resequencing technologies are making it possible to rapidly uncover the genetic variation maps of many model organisms (Lindblad-Toh et al. 2005; Mackay and Anholt 2006; Borevitz et al. 2007; Frazer et al. 2007; International Hapmap Consortium 2007; Star Consortium 2008). A recent whole-genome resequencing study of 15 inbred mouse strains captured a significant fraction of the genetic variation among a limited number of strains, allowing researchers to infer patterns of genetic variation and to identify the ancestral origin of the genetic variation (Frazer et al. 2007; Yang et al. 2007). Yet the availability and common experimental employment of hundreds of inbred strains, including >190 stocks available from the Jackson Laboratory, motivates the need for a high-density variation map for a larger set of strains. We have assembled the Mouse HapMap, a resource consisting of a dense set of genotypes for a total of 138,980 unique biallelic single nucleotide polymorphisms (SNPs) in 94 inbred mouse strains at an average spacing of 20 kb on chromosomes 1–19 and X.This resource is ideal for performing high-resolution mapping studies under QTL peaks. We evaluate the feasibility and effectiveness of such studies by examining a typical study from the Mouse Phenome Database (MPD) (Bogue et al. 2007; Grubb et al. 2009) (http://www.jax.org/phenome) and measure the statistical power to detect genetic associations in regions of various sizes. We provide several resources to the mouse genetics community for supporting such studies and a webserver that can estimate the significance threshold, compute the statistical power of a proposed study, and perform in the fine mapping of measured phenotypes. In addition, we provide a database of associations for all phenotypes contained in the MPD. The web resources are available at http://mouse.cs.ucla.edu/.     

Evaluation of a cervical cancer screening program based on HPV testing and LLETZ excision in a low resource setting

We conducted studies in Vanuatu to evaluate potential screening and treatment strategies to assist with control of cervical cancer. In a pilot study of 496 women, visual inspection and cytology were evaluated as screening tests for detection of CIN 2 or worse (CIN2+), observed in 21 of 206 subjects biopsied on the basis of abnormal visual inspection or cytology. Sensitivity of visual inspection with Lugol's Iodine for detection of CIN2+ on biopsy was 0.63, specificity was 0.32, and the positive predictive value was 0.09. For HSIL cytology, sensitivity was 0.99, specificity was 0.77, and the positive predictive value was 0.88. HSIL cytology was significantly more sensitive and had a significantly higher PPV for CIN 2+ than visual inspection (p<0.01). In a further study of 514 women, we compared testing for HR HPV and cytology as predictors of biopsy proven CIN 2+. Sensitivity of HSIL cytology for CIN2+ as established by loop excision of the cervix was 0.81, specificity was 0.94, and positive predictive value was 0.48. Sensitivity of a positive test for HR HPV for detection of CIN2+ was non-significantly different from cytology at 0.81, specificity was 0.94, and positive predictive value was 0.42. Combining the two tests gave a significantly lower sensitivity of 0.63, a specificity of 0.98, and a positive predictive value of 0.68. For women over 30 in a low resource setting without access to cytology, a single locally conducted test for high risk HPV with effective intervention could reduce cervical cancer risk as effectively as intervention based on cytology conducted in an accredited laboratory.