Genome-wide association study of metabolic traits reveals novel gene-metabolite-disease links.

Metabolic traits are molecular phenotypes that can drive clinical phenotypes and may predict disease progression. Here, we report results from a metabolome- and genome-wide association study on (1)H-NMR urine metabolic profiles. The study was conducted within an untargeted approach, employing a novel method for compound identification. From our discovery cohort of 835 Caucasian individuals who participated in the CoLaus study, we identified 139 suggestively significant (P<5×10(-8)) and independent associations between single nucleotide polymorphisms (SNP) and metabolome features. Fifty-six of these associations replicated in the TasteSensomics cohort, comprising 601 individuals from São Paulo of vastly diverse ethnic background. They correspond to eleven gene-metabolite associations, six of which had been previously identified in the urine metabolome and three in the serum metabolome. Our key novel findings are the associations of two SNPs with NMR spectral signatures pointing to fucose (rs492602, P = 6.9×10(-44)) and lysine (rs8101881, P = 1.2×10(-33)), respectively. Fine-mapping of the first locus pinpointed the FUT2 gene, which encodes a fucosyltransferase enzyme and has previously been associated with Crohn's disease. This implicates fucose as a potential prognostic disease marker, for which there is already published evidence from a mouse model. The second SNP lies within the SLC7A9 gene, rare mutations of which have been linked to severe kidney damage. The replication of previous associations and our new discoveries demonstrate the potential of untargeted metabolomics GWAS to robustly identify molecular disease markers.

GWAS of human bitter taste perception identifies new loci and reveals additional complexity of bitter taste genetics.

Human perception of bitterness displays pronounced interindividual variation. This phenotypic variation is mirrored by equally pronounced genetic variation in the family of bitter taste receptor genes. To better understand the effects of common genetic variations on human bitter taste perception, we conducted a genome-wide association study on a discovery panel of 504 subjects and a validation panel of 104 subjects from the general population of São Paulo in Brazil. Correction for general taste-sensitivity allowed us to identify a SNP in the cluster of bitter taste receptors on chr12 (10.88- 11.24 Mb, build 36.1) significantly associated (best SNP: rs2708377, P = 5.31 × 10(-13), r(2) = 8.9%, ß = -0.12, s.e. = 0.016) with the perceived bitterness of caffeine. This association overlaps with-but is statistically distinct from-the previously identified SNP rs10772420 influencing the perception of quinine bitterness that falls in the same bitter taste cluster. We replicated this association to quinine perception (P = 4.97 × 10(-37), r(2) = 23.2%, ß = 0.25, s.e. = 0.020) and additionally found the effect of this genetic locus to be concentration specific with a strong impact on the perception of low, but no impact on the perception of high concentrations of quinine. Our study, thus, furthers our understanding of the complex genetic architecture of bitter taste perception.

Picometer-scale conformational heterogeneity separates functional from nonfunctional states of a photoreceptor protein.

Protein structural fluctuations occur over a wide spatial scale, ranging from minute, picometer-scale displacements, to large, interdomain motions and partial unfolding. While large-scale protein structural changes and their effects on protein function have been the focus of much recent attention, small-scale fluctuations have been less well studied, and are generally assumed to have proportionally smaller effects. Here we use the bacterial photoreceptor photoactive yellow protein (PYP) to test if subtle structural changes do, indeed, imply equally subtle functional effects. We flash froze crystals of PYP to trap the protein's conformational ensemble, and probed the molecules in this ensemble for their ability to facilitate PYP's biological function (i.e., light-driven isomerization of its chromophore). Our results indicate that the apparently homogeneous structural state observed in a 0.82 A crystal structure in fact comprises an ensemble of conformational states, in which subpopulations with nearly identical structures display dramatically different functional properties.

Triggering and monitoring light-sensing reactions in protein crystals.

Many bacterial photoreceptors signal via histidine kinases. The light-activated nature of these proteins provides unique experimental opportunities to study their molecular mechanisms of signal transduction. One of these opportunities is the combined application of X-ray crystallography and optical spectroscopy in protein crystals. By combining these two methods it is possible to correlate protein structure to protein function in a way that is exceedingly difficult or impossible to achieve in most other experimental systems. This chapter is divided into two parts. The first part provides a brief overview of light-regulated histidine kinases and the most important techniques for studying the structure of photocycle intermediates by crystallography. The second part of the chapter is dedicated to practical advice on how to select, mount, activate, and monitor the structural and spectroscopic responses of photoreceptor crystals. This chapter is intended for readers who want to start using these experimental tools themselves or who wish to understand enough about the techniques to critically evaluate the work of others.

Sensitivity of genome-wide-association signals to phenotyping strategy: the PROP-TAS2R38 taste association as a benchmark.

Natural genetic variation can have a pronounced influence on human taste perception, which in turn may influence food preference and dietary choice. Genome-wide association studies represent a powerful tool to understand this influence. To help optimize the design of future genome-wide-association studies on human taste perception we have used the well-known TAS2R38-PROP association as a tool to determine the relative power and efficiency of different phenotyping and data-analysis strategies. The results show that the choice of both data collection and data processing schemes can have a very substantial impact on the power to detect genotypic variation that affects chemosensory perception. Based on these results we provide practical guidelines for the design of future GWAS studies on chemosensory phenotypes. Moreover, in addition to the TAS2R38 gene past studies have implicated a number of other genetic loci to affect taste sensitivity to PROP and the related bitter compound PTC. None of these other locations showed genome-wide significant associations in our study. To facilitate further, target-gene driven, studies on PROP taste perception we provide the genome-wide list of p-values for all SNPs genotyped in the current study.

Structure-factor extrapolation using the scalar approximation: theory, applications and limitations.

For many experiments in macromolecular crystallography, the overall structure of the protein/nucleic acid is already known and the aim of the experiment is to determine the effect a chemical or physical perturbation/activation has on the structure of the molecule. In a typical experiment, an experimenter will collect a data set from a crystal in the unperturbed state, perform the perturbation (i.e. soaking a ligand into the crystal or activating the sample with light) and finally collect a data set from the perturbed crystal. In many cases the perturbation fails to activate all molecules, so that the crystal contains a mix of molecules in the activated and native states. In these cases, it has become common practice to calculate a data set corresponding to a hypothetical fully activated crystal by linear extrapolation of structure-factor amplitudes. These extrapolated data sets often aid greatly in the interpretation of electron-density maps. However, the extrapolation of structure-factor amplitudes is based on a mathematical shortcut that treats structure factors as scalars, not vectors. Here, a full derivation is provided of the error introduced by this approximation and it is determined how this error scales with key experimental parameters. The perhaps surprising result of this analysis is that for most structural changes encountered in protein crystals, the error introduced by the scalar approximation is very small. As a result, the extrapolation procedure is largely limited by the propagation of experimental uncertainties of individual structure-factor amplitudes. Ultimately, propagation of these uncertainties leads to a reduction in the effective resolution of the extrapolated data set. The program XTRA, which implements SASFE (scalar approximation to structure-factor extrapolation), performs error-propagation calculations and determines the effective resolution of the extrapolated data set, is further introduced.

Anticipatory active-site motions and chromophore distortion prime photoreceptor PYP for light activation.

Protein photoreceptors use small-molecule cofactors called chromophores to detect light. Only under the influence of the receptors' active sites do these chromophores adopt spectral and photochemical properties that suit the receptors' functional requirements. This protein-induced change in chromophore properties is called photochemical tuning and is a prime example for the general--but poorly understood--process of chemical tuning through which proteins shape the reactivity of their active-site groups. Here we report the 0.82-A resolution X-ray structure of the bacterial light receptor photoactive yellow protein (PYP). The unusually precise structure reveals deviations from expected molecular geometries and anisotropic atomic displacements in the PYP active site. Our analysis of these deviations points directly to the intramolecular forces and active-site dynamics that tune the properties of PYP's chromophore to absorb blue light, suppress fluorescence, and favor the required light-driven double-bond isomerization.