Epistatic Gene-Based Interaction Analyses for Glaucoma in eMERGE and NEIGHBOR Consortium

Primary open angle glaucoma (POAG) is a complex disease and is one of the major leading causes of blindness worldwide. Genome-wide association studies have successfully identified several common variants associated with glaucoma; however, most of these variants only explain a small proportion of the genetic risk. Apart from the standard approach to identify main effects of variants across the genome, it is believed that gene-gene interactions can help elucidate part of the missing heritability by allowing for the test of interactions between genetic variants to mimic the complex nature of biology. To explain the etiology of glaucoma, we first performed a genome-wide association study (GWAS) on glaucoma case-control samples obtained from electronic medical records (EMR) to establish the utility of EMR data in detecting non-spurious and relevant associations; this analysis was aimed at confirming already known associations with glaucoma and validating the EMR derived glaucoma phenotype. Our findings from GWAS suggest consistent evidence of several known associations in POAG. We then performed an interaction analysis for variants found to be marginally associated with glaucoma (SNPs with main effect p-value <0.01) and observed interesting findings in the electronic MEdical Records and GEnomics Network (eMERGE) network dataset. Genes from the top epistatic interactions from eMERGE data (Likelihood Ratio Test i.e. LRT p-value <1e-05) were then tested for replication in the NEIGHBOR consortium dataset. To replicate our findings, we performed a gene-based SNP-SNP interaction analysis in NEIGHBOR and observed significant gene-gene interactions (p-value <0.001) among the top 17 gene-gene models identified in the discovery phase. Variants from gene-gene interaction analysis that we found to be associated with POAG explain 3.5% of additional genetic variance in eMERGE dataset above what is explained by the SNPs in genes that are replicated from previous GWAS studies (which was only 2.1% variance explained in eMERGE dataset); in the NEIGHBOR dataset, adding replicated SNPs from gene-gene interaction analysis explain 3.4% of total variance whereas GWAS SNPs alone explain only 2.8% of variance. Exploring gene-gene interactions may provide additional insights into many complex traits when explored in properly designed and powered association studies.     

Phenological Development in Bambara Groundnut (Vigna subterranea) at Constant Exposure to Photoperiods of 10 to 16 h

The flowering and fruit-set of a bambara groundnut selectionfrom Ankpa, Nigeria, were studied in greenhouses at constantexposure to photoperiods of 10, 12, 12·5, 13, 14 and16 h. The development of embryos was determined in ovaries fromplants under photoperiods of 11·5 h and 14 h. The beginningof flowering, recorded as the number of days from sowing tothe first open flower, was delayed by lengthening the photoperiod.It started 7 d later under 16 h than under 10 h. This differenceincreased during the production of the next nine open flowers.Lengthening the photoperiod also caused a delay in the beginningof fruit development. Under 13 h it was delayed by more than40 d compared with fruit development under 10 h. Some plantsunder 14 and 16 h even failed to produce pods. After the beginningof fruit development dry matter partitioning to pods was substantiallyless under 14 and 16 h photoperiods than under photoperiodsof 13 h or less; this was reflected in a strong reduction ofpod growth rates. Under an 11·5 h photoperiod two groups of ovaries couldbe distinguished. In both, embryo development was identicalup to 17 d after anthesis, but then the embryos in the firstgroup continued to develop until they were full-grown at about41 d after anthesis, whereas the growth of the embryos in thesecond group stopped. Embryo development under a photoperiodof 14 h was similar to that in the ovaries with discontinuedembryo growth under the 11·5 photoperiod. Healthy-lookingembryos were found in ovaries up to 32 d after anthesis undera photoperiod 14 h. From then onwards embryos started to shriveland degenerate. Finally, the ovaries aborted.Copyright 1993,1999 Academic Press Vigna subterranea, Voandzeia subterranea, bambara groundnut, phenology, photoperiod, day-length, embryo development, harvest index, dry matter partitioning     

Knowledge-driven multi-locus analysis reveals gene-gene interactions influencing HDL cholesterol level in two independent EMR-linked biobanks

Genome-wide association studies (GWAS) are routinely being used to examine the genetic contribution to complex human traits, such as high-density lipoprotein cholesterol (HDL-C). Although HDL-C levels are highly heritable (h²∼0.7), the genetic determinants identified through GWAS contribute to a small fraction of the variance in this trait. Reasons for this discrepancy may include rare variants, structural variants, gene-environment (GxE) interactions, and gene-gene (GxG) interactions. Clinical practice-based biobanks now allow investigators to address these challenges by conducting GWAS in the context of comprehensive electronic medical records (EMRs). Here we apply an EMR-based phenotyping approach, within the context of routine care, to replicate several known associations between HDL-C and previously characterized genetic variants: CETP (rs3764261, p = 1.22e-25), LIPC (rs11855284, p = 3.92e-14), LPL (rs12678919, p = 1.99e-7), and the APOA1/C3/A4/A5 locus (rs964184, p = 1.06e-5), all adjusted for age, gender, body mass index (BMI), and smoking status. By using a novel approach which censors data based on relevant co-morbidities and lipid modifying medications to construct a more rigorous HDL-C phenotype, we identified an association between HDL-C and TRIB1, a gene which previously resisted identification in studies with larger sample sizes. Through the application of additional analytical strategies incorporating biological knowledge, we further identified 11 significant GxG interaction models in our discovery cohort, 8 of which show evidence of replication in a second biobank cohort. The strongest predictive model included a pairwise interaction between LPL (which modulates the incorporation of triglyceride into HDL) and ABCA1 (which modulates the incorporation of free cholesterol into HDL). These results demonstrate that gene-gene interactions modulate complex human traits, including HDL cholesterol.     

Latitudinal Variation of a Defensive Symbiosis in the Bugula neritina (Bryozoa) Sibling Species Complex

Mutualistic relationships are beneficial for both partners and are often studied within a single environment. However, when the range of the partners is large, geographical differences in selective pressure may shift the relationship outcome from positive to negative. The marine bryozoan Bugula neritina is a colonial invertebrate common in temperate waters worldwide. It is the source of bioactive polyketide metabolites, the bryostatins. Evidence suggests that an uncultured vertically transmitted symbiont, “Candidatus Endobugula sertula”, hosted by B. neritina produces the bryostatins, which protect the vulnerable larvae from predation. Studies of B. neritina along the North American Atlantic coast revealed a complex of two morphologically similar sibling species separated by an apparent biogeographic barrier: the Type S sibling species was found below Cape Hatteras, North Carolina, while Type N was found above. Interestingly, the Type N colonies lack “Ca. Endobugula sertula” and, subsequently, defensive bryostatins; their documented northern distribution was consistent with traditional biogeographical paradigms of latitudinal variation in predation pressure. Upon further sampling of B. neritina populations, we found that both host types occur in wider distribution, with Type N colonies living south of Cape Hatteras, and Type S to the north. Distribution of the symbiont, however, was not restricted to Type S hosts. Genetic and microscopic evidence demonstrates the presence of the symbiont in some Type N colonies, and larvae from these colonies are endowed with defensive bryostatins and contain “Ca. Endobugula sertula”. Molecular analysis of the symbiont from Type N colonies suggests an evolutionarily recent acquisition, which is remarkable for a symbiont thought to be transmitted only vertically. Furthermore, most Type S colonies found at higher latitudes lack the symbiont, suggesting that this host-symbiont relationship is more flexible than previously thought. Our data suggest that the symbiont, but not the host, is restricted by biogeographical boundaries.     

Polyketide synthase pathways identified from a metagenomic library are derived from soil Acidobacteria

Polyketides are structurally diverse secondary metabolites, many of which have antibiotic or anticancer activity. Type I modular polyketide synthase (PKS) genes are typically large and encode repeating enzymatic domains that elongate and modify the nascent polyketide chain. A fosmid metagenomic library constructed from an agricultural soil was arrayed and the macroarray was screened for the presence of conserved ketosynthase [β-ketoacyl synthase (KS)] domains, enzymatic domains present in PKSs. Thirty-four clones containing KS domains were identified by Southern hybridization. Many of the KS domains contained within metagenomic clones shared significant similarity to PKS or nonribosomal peptide synthesis genes from members of the Cyanobacteria or the Proteobacteria phyla. However, analysis of complete clone insert sequences indicated that the blast analysis for KS domains did not reflect the true phylogenetic origin of many of these metagenomic clones that had a %G+C content and significant sequence similarity to genes from members of the phylum Acidobacteria. This conclusion of an Acidobacteria origin for several clones was further supported by evidence that cultured soil Acidobacteria from different subdivisions have genetic loci closely related to PKS domains contained within metagenomic clones, suggesting that Acidobacteria may be a source of novel polyketides. This study also demonstrates the utility of combining data from culture-dependent and -independent investigations in expanding our collective knowledge of microbial genomic diversity.