Joshua Kaplan (Harvard Medical School): To identify genes that regulate GABA transmission, we performed an RNAi screen for genes whose inactivation increases the activity of C. elegans body muscles, which receive direct input from GABAergic motor neurons. We identified 90 genes, 21 of which were previously implicated in seizure syndromes, suggesting that this screen has effectively identified candidate genes for epilepsy. Electrophysiological recordings and imaging of excitatory and inhibitory synapses indicate that several genes alter muscle activity by selectively regulating GABA transmission. In particular, we identify two humoral pathways and several protein kinases that modulate GABA transmission but have little effect on excitatory transmission at cholinergic neuromuscular junctions. Our data suggest these conserved genes are components of signaling pathways that regulate GABA transmission and consequently may play a role in epilepsy and other cognitive or psychiatric disorders.

Marc Tessier-Lavigne (Stanford): Navigating axons switch responses from attraction to repulsion at intermediate targets, allowing them to grow to each intermediate target and then to move on. The mechanisms underlying this switch remain poorly characterized. We previously showed that the Slit receptor Robo3 is required for spinal commissural axons to enter and cross the midline intermediate target. We report here the existence of two functionally antagonistic isoforms of Robo3 with distinct carboxy termini arising from alternative splicing. Robo3.1 is deployed on the precrossing and crossing portions of commissural axons and allows midline crossing by silencing Slit repulsion. Robo3.2 becomes expressed on the postcrossing portion and blocks midline recrossing, favoring Slit repulsion. The tight spatial regulation of opponent splice variants helps ensure high-fidelity transition of axonal responses from attraction to repulsion at the midline.

Erin O'Shea (Harvard): Large-scale characterization of nucleosome positioning in Saccharomyces cerevisiae has revealed a stereotyped promoter organization in which a nucleosome-free region (NFR) is present within several hundred base pairs upstream of the translation start site. Many transcription factors bind within NFRs and nucleate chromatin remodelling events which then expose other cis-regulatory elements. However, it is not clear how transcription-factor binding and chromatin influence quantitative attributes of gene expression. Here we show that nucleosomes function largely to decouple the threshold of induction from dynamic range. With a series of variants of one promoter, we establish that the affinity of exposed binding sites is a primary determinant of the level of physiological stimulus necessary for substantial gene activation, and sites located within nucleosomal regions serve to scale expression once chromatin is remodelled. Furthermore, we find that the S. cerevisiae phosphate response (PHO) pathway exploits these promoter designs to tailor gene expression to different environmental phosphate levels. Our results suggest that the interplay of chromatin and binding-site affinity provides a mechanism for fine-tuning responses to the same cellular state. Moreover, these findings may be a starting point for more detailed models of eukaryotic transcriptional control.

Guri Giaever (University of Toronto): Genetics aims to understand the relation between genotype and phenotype. However, because complete deletion of most yeast genes (~80%) has no obvious phenotypic consequence in rich medium, it is difficult to study their functions. To uncover phenotypes for this nonessential fraction of the genome, we performed 1144 chemical genomic assays on the yeast whole-genome heterozygous and homozygous deletion collections and quantified the growth fitness of each deletion strain in the presence of chemical or environmental stress conditions. We found that 97% of gene deletions exhibited a measurable growth phenotype, suggesting that nearly all genes are essential for optimal growth in at least one condition.

Matthew Stephens (University of Chicago): Here, we find that gradients and waves observed in Cavalli-Sforza et al.'s maps resemble sinusoidal mathematical artifacts that arise generally when PCA is applied to spatial data, implying that the patterns do not necessarily reflect specific migration events. Our findings aid interpretation of PCA results and suggest how PCA can help correct for continuous population structure in association studies.

Andrew Feinberg ()Johns Hopkins): We have developed an optimized array-based approach for customizable allele-specific gene expression (ASE) analysis. The central features of the approach are the ability to select SNPs at will for detection, and the absence of need to PCR amplify the target. A surprisingly long probe length (39–49 nt) was needed for allelic discrimination. Reconstitution experiments demonstrate linearity of ASE over a broad range. Using this approach, we have discovered at least two novel imprinted genes, NLRP2, which encodes a member of the inflammasome, and OSBPL1A, which encodes a presumed oxysterol-binding protein, were both preferentially expressed from the maternal allele. In contrast, ERAP2, which encodes an aminopeptidase, did not show preferential parent-of-origin expression, but rather, cis-acting nonimprinted differential allelic control. The approach is scalable to the whole genome and can be used for discovery of functional epigenetic modifications in patient samples.

Kathryn North (University of Sydney): More than a billion humans worldwide are predicted to be completely deficient in the fast skeletal muscle fiber protein alpha-actinin-3 owing to homozygosity for a premature stop codon polymorphism, R577X, in the ACTN3 gene. The R577X polymorphism is associated with elite athlete status and human muscle performance, suggesting that alpha-actinin-3 deficiency influences the function of fast muscle fibers. Here we show that loss of alpha-actinin-3 expression in a knockout mouse model results in a shift in muscle metabolism toward the more efficient aerobic pathway and an increase in intrinsic endurance performance. In addition, we demonstrate that the genomic region surrounding the 577X null allele shows low levels of genetic variation and recombination in individuals of European and East Asian descent, consistent with strong, recent positive selection. We propose that the 577X allele has been positively selected in some human populations owing to its effect on skeletal muscle metabolism.

Nick Patterson (Broad Institute): Principal component analysis (PCA) has been a useful tool for analysis of genetic data, particularly in studies of human migration. We suggest guidelines for scientists interested in using PCA in genetic analysis in light of this potential concern and highlight three applications in which PCA has continued value: detecting population substructure, correcting for stratification in disease studies and making qualified inferences about human history.

Evan Eichler (University of Washington): Here we explore variation on an intermediate scale—particularly insertions, deletions and inversions affecting from a few thousand to a few million base pairs.We employed a clone-based method to interrogate this intermediate structural variation in eight individuals of diverse geographic ancestry. Our analysis provides a comprehensive overview of the normal pattern of structural variation present in these genomes, refining the location of 1,695 structural variants. We find that 50% were seen in more than one individual and that nearly half lay outside regions of the genome previously described as structurally variant. We discover 525 new insertion sequences that are not present in the human reference genome and show that many of these are variable in copy number between individuals. Complete sequencing of 261 structural variants reveals considerable locus complexity and provides insights into the different mutational processes that have shaped the human genome. These data provide the first high-resolution sequence map of human structural variation—a standard for genotyping platforms and a prelude to future individual genome sequencing projects.

Mark McCarthy (University of Oxford): The past year has witnessed substantial advances in understanding the genetic basis of many common phenotypes of biomedical importance. These advances have been the result of systematic, well-powered, genome-wide surveys exploring the relationships between common sequence variation and disease predisposition. This approach has revealed over 50 disease-susceptibility loci and has provided insights into the allelic architecture of multifactorial traits. At the same time, much has been learned about the successful prosecution of association studies on such a scale. This Review highlights the knowledge gained, defines areas of emerging consensus, and describes the challenges that remain as researchers seek to obtain more complete descriptions of the susceptibility architecture of biomedical traits of interest and to translate the information gathered into improvements in clinical management.