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Prediction of protein three-dimensional structures in insertion and deletion regions: a procedure for searching data bases of representative protein fragments using geometric scoring criteria.

The prediction of protein structure in insertion/deletion regions (referred to as indels) is an important part of protein model building by homology. Here we combine cluster analysis with data base search procedures. Initially, data bases of representative protein fragments are constructed using two different clustering algorithms. In the HCAPD (hierarchical clustering after preliminary division) approach, all protein fragments are divided into classes with similar anchor region structures (a protein fragment consists of two anchoring regions and a central region). Within these classes the fragments are further clustered using a hierarchical cluster algorithm. The DCANN (deterministic clustering by assignment of all nearest neighbours) approach is a variant of the k-nearest neighbours cluster algorithm. Only geometric scoring criteria are used for data base searching. The main advantage of a non-redundant data base is the ability to provide structurally different fragments during the search process, which leads to an improvement in structure prediction. Both methods have been tested on 71 insertions and 74 deletions with lengths between one and eight residues.

Algorithms↗

HbVar: A relational database of human hemoglobin variants and thalassemia mutations at the globin gene server.

We have constructed a relational database of hemoglobin variants and thalassemia mutations, called HbVar, which can be accessed on the web at http://globin.cse.psu.edu. Extensive information is recorded for each variant and mutation, including a description of the variant and associated pathology, hematology, electrophoretic mobility, methods of isolation, stability information, ethnic occurrence, structure studies, functional studies, and references. The initial information was derived from books by Dr. Titus Huisman and colleagues [Huisman et al., 1996, 1997, 1998]. The current database is updated regularly with the addition of new data and corrections to previous data. Queries can be formulated based on fields in the database. Tables of common categories of variants, such as all those involving the alpha1-globin gene (HBA1) or all those that result in high oxygen affinity, are maintained by automated queries on the database. Users can formulate more precise queries, such as identifying "all beta-globin variants associated with instability and found in Scottish populations." This new database should be useful for clinical diagnosis as well as in fundamental studies of hemoglobin biochemistry, globin gene regulation, and human sequence variation at these loci.

Databases, Genetic↗

Analysis of gammabeta, betagamma, gammagamma, betabeta multiple turns in proteins.

The number of gamma-turns in a representative protein dataset selected from the current Protein Data Bank has increased almost seven times during the past decade. Eighty percent classic gamma-turns and 57% inverse gamma-turns are associated as multiple turns with either another y-turn or a beta-turn. We refer to these as multiple turns of the (gammabeta)1,2,3 or (betagamma)1,2,3 type, depending upon whether the gamma-turn is before or after the beta-turn along the protein chain, respectively. However, for multiple turns involving only gamma-turns, we follow the nomenclature analogous to that proposed earlier for the multiple (or double) beta-turns. Fifty-eight per cent beta-turns are associated as multiple turns with another beta-turn. We extracted multiple turns from the protein dataset and classified them on the basis of individual gamma- or beta-turn types and the number of overlapping residues. Furthermore, we evaluated the amino acid positional potentials and determined the statistically significant amino acid preferences, hydrogen bond/side-chain interaction preferences in the multiple turns and secondary structure preferences for residues immediately flanking these turns. The results of our analysis would be useful in the modeling, prediction or design of multiple turns in proteins. The amino acid sequence corresponding to the multiple turn, position in the protein chain, PDB Code/chain in which multiple turn is present and the individual turn types constituting the multiple turns are available from our website and this information would also be integrated in our Database of Structural Motifs in Proteins (http://www.cdfd.org.in/dsmp.html).

Amino Acid Motifs↗

Colchitaxel, a coupled compound made from microtubule inhibitors colchicine and paclitaxel.

BACKGROUND: Tumor promoters enhance tumor yield in experimental animals without directly affecting the DNA of the cell. Promoters may play a role in the development of cancer, as humans are exposed to them in the environment. In work based on computer-assisted microscopy and sophisticated classification methods, we showed that cells could be classified by reference to a database of known normal and cancerous cell phenotypes. Promoters caused loss of properties specific to normal cells and gain of properties of cancer cells. Other compounds, including colchicine, had a similar effect. Colchicine given together with paclitaxel, however, caused cells to adopt properties of normal cells. This provided a rationale for tests of microtubule inhibitor combinations in cancer patients. The combination of a depolymerizing and a stabilizing agent is a superior anti-tumor treatment. The biological basis of the effect is not understood. RESULTS: A single compound containing both colchicine and paclitaxel structures was synthesized. Colchicine is an alkaloid with a trimethoxyphenyl ring (ring A), a ring with an acetamide linkage (ring B), and a tropolone ring (ring C). Although rings A and C are important for tubulin-binding activity, the acetamide linkage on ring B could be replaced by an amide containing a glutamate linker. Alteration of the C-7 site on paclitaxel similarly had little or no inhibitory effect on its biological activity. The linker was attached to this position. The coupled compound, colchitaxel (1), had some of the same effects on microtubules as the combination of starting compounds. It also caused shortening and fragmentation of the + end protein cap. CONCLUSION: Since microtubule inhibitor combinations give results unlike those obtained with either inhibitor alone, it is important to determine how such combinations affect cell shape and growth. Colchitaxel shows a subset of the effects of the inhibitor combination. Thus, it may be able to bind the relevant cellular target of the combination. It will be useful to determine the basis of the shape reversal effect and possibly, the reasons for therapeutic efficacy of microtubule inhibitor combinations.

Journal Article↗

Nutritional status and quality of life of the gastric cancer patients in Changle County of China.

AIM: To analyze the relation between nutrition and quality of life in the stomach cancer patients, evaluate the intake of daily nutrition of the patients, and study the feasibility of nutrition intervention in improving quality of life of the stomach cancer patients. METHODS: A total of 285 surgical stomach cancer patients reported in the Changle Cancer Registry from 2002 to 2003 were investigated with respect to their diet and quality of life. Daily nutrition intakes of the patients were calculated according to the Food Composition Database, and these data were compared with the reference values proposed by the Chinese Nutrition Society. The partial correlation was used to analyze the relationship between nutrition and quality of life in the patients. Stepwise multiple regression analyses were conducted to analyze the factors influencing nutrition intake in stomach cancer patients. RESULTS: Except vitamin C, there were statistical correlations between the nutrition and quality of life in stomach cancer patients, and differences of the daily nutrition intake among three groups (good, modest and bad quality of life) of the patients were significant. Most of the stomach cancer patients had a lower daily nutrition intake than the reference values. At the significance level alpha = 0.05, the factors influencing the daily nutrition intake of the patients were number of meals a day, family income, way of operation, exercise and age. CONCLUSION: The nutritional status of the operated patients with stomach cancer may impact on their quality of life. The stomach cancer patients in Changle County have a low level of daily nutrition intake, which suggests that they have a bad nutritional status. To improve the quality of life of the patients, the nutrition intervention should be conducted. Increasing times of meals a day and having a high-protein, high-calorie foods can improve the nutritional status of the stomach cancer patients. Moreover, exercise for rehabilitation can whet the appetite of the patients and recover their body function, which in turn may improve the quality of life of the stomach cancer patients.

Adult↗

Calcium and phosphorus supplementation of human milk for preterm infants.

BACKGROUND: Preterm infants are born with low skeletal stores of calcium and phosphorus. Preterm human milk provides insufficient calcium and phosphorus to meet their estimated needs. OBJECTIVES: To determine if addition of calcium and phosphorus supplements to human milk leads to improved growth and bone metabolism without significant adverse effects in preterm infants. SEARCH STRATEGY: The standard search strategy of the Cochrane Neonatal Review Group (NRG) was used. This includes searches of the Oxford Database of Perinatal Trials, MEDLINE, previous reviews including cross references, abstracts, conferences and symposia proceedings, expert informants, journal handsearching mainly in the English language. SELECTION CRITERIA: All trials utilizing random or quasi-random allocation to supplementation of human milk with calcium and/or phosphorus or no supplementation in preterm infants within a hospital were eligible. DATA COLLECTION AND ANALYSIS: Data were extracted using the standard methods of the Cochrane NRG, with separate evaluation of trial quality and data extraction by each author and synthesis of data using relative risk and weighted mean difference. MAIN RESULTS: No studies which met selection criteria were identified. Excluded studies that were identified included minerals as one component of a multicomponent fortifier or reported only non-clinical outcomes (for example, urinary excretion of calcium). Two studies were excluded because of methodological concerns. REVIEWER'S CONCLUSIONS: There are no randomized controlled data evaluating clinical outcomes of calcium and phosphorus supplementation of human milk for preterm infants on which to base practice recommendations. Further trials should assess the clinical benefits and potential adverse effects of supplementation of human milk with minerals. This may best be done in the context of manipulation of the composition of human milk fortifiers containing multiple nutrients (carbohydrate, protein, and minerals).

Calcium↗

Accurate mass measurements using MALDI-TOF with delayed extraction.

Matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry is now an essential tool in biopolymer analysis. Sensitivity and mass range are unsurpassed, but mass measurement accuracy and resolution have been limited. With delayed extraction and a reflecting analyzer, mass measurements using MALDI-TOF can be made with an accuracy of a few parts per million (ppm). It is possible to distinguish Lys from Gln in peptides, and to determine the elemental composition of smaller molecules (mass 100-500). In database searching strategies, a smaller mass window, resulting from an increase in mass accuracy, greatly decreases the number of possible candidates. Mass measurement accuracy with errors less than 5 ppm is demonstrated on a mixture of 12 peptides ranging in mass from ca. 900 to 3700 Da. Mass measurements on 13 peaks in an unseparated tryptic digest of myoglobin gave results with an overall average error less than 3.5 ppm, with a maximum error of 7 ppm.

Adrenocorticotropic Hormone↗

Bioinformatics platform development: from gene to lead compound.

In the past 10 yr, the field of bioinformatics has been characterized by the mapping of many genomes. These efforts have stimulated explosive development of novel bioinformatics and experimental approaches to predict the functions and metabolic role of the new proteins. The main application of the work is to search, validate, and prioritize new targets for designing a new generation of drugs. Modern computer and experimental methods for discovery of new lead compounds have also expanded and integrated into the process referred to as rational drug design. They are directed to accelerate and optimize the drug discovery process using experimental and virtual (computer-aided drug discovery) methods. Recently, these methods and approaches have merged into a "from gene to lead" platform that includes the processes from new target discovery through obtaining highly effective lead compounds. This chapter describes the strategies as employed by the "From Gene to Lead" platform, including the major computer and experimental approaches and their interrelationship. The latter part of the chapter contains some examples of the steps required for implementing this platform.

Computational Biology↗

Similarity-driven flexible ligand docking.

A similarity-driven approach to flexible ligand docking is presented. Given a reference ligand or a pharmacophore positioned in the protein active site, the method allows inclusion of a similarity term during docking. Two different algorithms have been implemented, namely, a similarity-penalized docking (SP-DOCK) and a similarity-guided docking (SG-DOCK). The basic idea is to maximally exploit the structural information about the ligand binding mode present in cases where ligand-bound protein structures are available, information that is usually ignored in standard docking procedures. SP-DOCK and SG-DOCK have been derived as modified versions of the program DOCK 4.0, where the similarity program MIMIC acts as a module for the calculation of similarity indices that correct docking energy scores at certain steps of the calculation. SP-DOCK applies similarity corrections to the set of ligand orientations at the end of the ligand incremental construction process, penalizing the docking energy and, thus, having only an effect on the relative ordering of the final solutions. SG-DOCK applies similarity corrections throughout the entire ligand incremental construction process, thus affecting not only the relative ordering of solutions but also actively guiding the ligand docking. The performance of SP-DOCK and SG-DOCK for binding mode assessment and molecular database screening is discussed. When applied to a set of 32 thrombin ligands for which crystal structures are available, SG-DOCK improves the average RMSD by ca. 1 A when compared with DOCK. When those 32 thrombin ligands are included into a set of 1,000 diverse molecules from the ACD, DIV, and WDI databases, SP-DOCK significantly improves the retrieval of thrombin ligands within the first 10% of each of the three databases with respect to DOCK, with minimal additional computational cost. In all cases, comparison of SP-DOCK and SG-DOCK results with those obtained by DOCK and MIMIC is performed.

Crystallography, X-Ray↗

MeSHer: identifying biological concepts in microarray assays based on PubMed references and MeSH terms.

UNLABELLED: MeSHer uses a simple statistical approach to identify biological concepts in the form of Medical Subject Headings (MeSH terms) obtained from the PubMed database that are significantly overrepresented within the identified gene set relative to those associated with the overall collection of genes on the underlying DNA microarray platform. As a demonstration, we apply this approach to gene lists acquired from a published study of the effects of angiotensin II (Ang II) treatment on cardiac gene expression and demonstrate that this approach can aid in the interpretation of the resulting 'significant' gene set. AVAILABILITY: The software is available at http://www.tm4.org. SUPPLEMENTARY INFORMATION: Results from the analysis of significant genes from the published Ang II study.

Artificial Intelligence↗

High throughput proteome screening for biomarker detection.

Mass spectrometry-based quantitative proteomics has become an important component of biological and clinical research. Current methods, while highly developed and powerful, are falling short of their goal of routinely analyzing whole proteomes mainly because the wealth of proteomic information accumulated from prior studies is not used for the planning or interpretation of present experiments. The consequence of this situation is that in every proteomic experiment the proteome is rediscovered. In this report we describe an approach for quantitative proteomics that builds on the extensive prior knowledge of proteomes and a platform for the implementation of the method. The method is based on the selection and chemical synthesis of isotopically labeled reference peptides that uniquely identify a particular protein and the addition of a panel of such peptides to the sample mixture consisting of tryptic peptides from the proteome in question. The platform consists of a peptide separation module for the generation of ordered peptide arrays from the combined peptide sample on the sample plate of a MALDI mass spectrometer, a high throughput MALDI-TOF/TOF mass spectrometer, and a suite of software tools for the selective analysis of the targeted peptides and the interpretation of the results. Applying the method to the analysis of the human blood serum proteome we demonstrate the feasibility of using mass spectrometry-based proteomics as a high throughput screening technology for the detection and quantification of targeted proteins in a complex system.

Automation↗

Novel melanoma antigen, FCRL/FREB, identified by cDNA profile comparison using DNA chip are immunogenic in multiple melanoma patients.

We applied a strategy that utilized a combination of systematic gene expression analysis with various tissues and immunological detection with sera from melanoma patients to identify melanoma antigens expressed preferentially in melanoma and melanocytes. We selected 101 genes by comparing cDNA profiles obtained by GeneChip analysis of a highly pigmented melanoma cell line, SKmel23, primary cultured melanocytes, HUVECs cultured endothelial cells, keratinocytes, liver and stomach. After the additional selection with criterion of high registered frequency of each cDNA in melanocyte-related cDNA libraries in the NCBI database, 15 genes including 12 known melanocyte specific genes were identified. One of the remaining 3 genes, FCRL/FREB, encoding a member of the Fc receptor family that was previously reported to express in germinal center B cells, was found to express preferentially in melanocytes and melanoma tissues by RT-PCR and Northern blot analysis. The FCRL/FREB protein was detected in the cytoplasm of melanoma cells by staining with the murine polyclonal antibody and by transfection with GFP-fused FCRL/FREB cDNA. The bacterial recombinant protein was recognized by serum IgG antibody obtained from some patients with melanoma. These results suggest that FCRL/FREB may function in melanocytes and melanoma and may be useful for development of diagnostic methods for various pigment disorders and immunotherapy of melanoma.

Animals↗

Finding relevant references to genes and proteins in Medline using a Bayesian approach.

MOTIVATION: Mining the biomedical literature for references to genes and proteins always involves a tradeoff between high precision with false negatives, and high recall with false positives. Having a reliable method for assessing the relevance of literature mining results is crucial to finding ways to balance precision and recall, and for subsequently building automated systems to analyze these results. We hypothesize that abstracts and titles that discuss the same gene or protein use similar words. To validate this hypothesis, we built a dictionary- and rule-based system to mine Medline for references to genes and proteins, and used a Bayesian metric for scoring the relevance of each reference assignment. RESULTS: We analyzed the entire set of Medline records from 1966 to late 2001, and scored each gene and protein reference using a Bayesian estimated probability (EP) based on word frequency in a training set of 137837 known assignments from 30594 articles to 36197 gene and protein symbols. Two test sets of 148 and 150 randomly chosen assignments, respectively, were hand-validated and categorized as either good or bad. The distributions of EP values, when plotted on a log-scale histogram, are shown to markedly differ between good and bad assignments. Using EP values, recall was 100% at 61% precision (EP=2 x 10(-5)), 63% at 88% precision (EP=0.008), and 10% at 100% precision (EP=0.1). These results show that Medline entries discussing the same gene or protein have similar word usage, and that our method of assessing this similarity using EP values is valid, and enables an EP cutoff value to be determined that accurately and reproducibly balances precision and recall, allowing automated analysis of literature mining results. .

Abstracting and Indexing↗

Cyclo-oxygenase 2 inhibition in colorectal cancer therapy.

BACKGROUND: Cyclo-oxygenase inhibition for the treatment of colorectal neoplasia has been studied with renewed interest since the discovery of cyclo-oxygenase (Cox) 2 and the introduction of specific Cox-2 inhibitors. These drugs have implications for both the prevention of colorectal carcinoma and the potential treatment of the disease. METHODS AND RESULTS: A Medline database search was performed for articles using the keywords "colonic, colon or rectal and neoplasia or cancer" and "cyclo-oxygenase or Cox-2." Cross-references of relevant historical papers were also included. There is substantial evidence that Cox-2 plays a role in the development and progression of colorectal cancer. The specific inhibition of this enzyme has been shown to inhibit cancer growth in in vitro and in vivo models. The mechanisms of action for these effects are poorly understood and potential clinical applications at present remain under investigation. CONCLUSION: Cox-2 inhibitors have great promise as useful additions to current cancer treatments. There is a need for randomized clinical trials to define a role for these drugs in chemoprevention, recurrence prophylaxis, and adjuvant therapy for colorectal and other solid tumours.

Angiogenesis Inhibitors↗

Sequence optimization for native state stability determines the evolution and folding kinetics of a small protein.

Investigating the relative importance of protein stability, function, and folding kinetics in driving protein evolution has long been hindered by the fact that we can only compare modern natural proteins, the products of the very process we seek to understand, to each other, with no external references or baselines. Through a large-scale all-atom simulation of protein evolution, we have created a large diverse alignment of SH3 domain sequences which have been selected only for native state stability, with no other influencing factors. Although the average pairwise identity between computationally evolved and natural sequences is only 17%, the residue frequency distributions of the computationally evolved sequences are similar to natural SH3 sequences at 86% of the positions in the domain, suggesting that optimization for the native state structure has dominated the evolution of natural SH3 domains. Additionally, the positions which play a consistent role in the transition state of three well-characterized SH3 domains (by phi-value analysis) are structurally optimized for the native state, and vice versa. Indeed, we see a specific and significant correlation between sequence optimization for native state stability and conservation of transition state structure.

Amino Acid Sequence↗

New 4-point pharmacophore method for molecular similarity and diversity applications: overview of the method and applications, including a novel approach to the design of combinatorial libraries containing privileged substructures.

A new 4-point pharmacophore method for molecular similarity and diversity that rapidly calculates all potential pharmacophores/pharmacophoric shapes for a molecule or a protein site is described. The method, an extension to the ChemDiverse/Chem-X software (Oxford Molecular, Oxford, England), has also been customized to enable a new internally referenced measure of pharmacophore diversity. The "privileged" substructure concept for the design of high-affinity ligands is presented, and an example of this new method is described for the design of combinatorial libraries for 7-transmembrane G-protein-coupled receptor targets, where "privileged" substructures are used as special features to internally reference the pharmacophoric shapes. Up to 7 features and 15 distance ranges are considered, giving up to 350 million potential 4-point 3D pharmacophores/molecule. The resultant pharmacophore "key" ("fingerprint") serves as a powerful measure for diversity or similarity, calculable for both a ligand and a protein site, and provides a consistent frame of reference for comparing molecules, sets of molecules, and protein sites. Explicit "on-the-fly" conformational sampling is performed for a molecule to enable the calculation of all geometries accessible for all combinations of four features (i.e., 4-point pharmacophores) at any desired sampling resolution. For a protein site, complementary site points to groups displayed in the site are generated and all combinations of four site points are considered. In this paper we report (i) the details of our customized implementation of the method and its modification to systematically measure 4-point pharmacophores relative to a "special" substructure of interest present in the molecules under study; (ii) comparisons of 3- and 4-point pharmacophore methods, highlighting the much increased resolution of the 4-point method; (iii) applications of the 4-point potential pharmacophore descriptors as a new measure of molecular similarity and diversity and for the design of focused/biased combinatorial libraries.

Binding Sites↗

Identification of various exon combinations of the ews/fli1 translocation: an optimized RT-PCR method for paraffin embedded tissue -- a report by the CWS-study group.

BACKGROUND: Chromosomal translocations t(11;22) (q24;q12) are characteristic of about 80-90 % of Ewing's sarcoma family of tumors [bone and soft tissue Ewing's sarcoma and peripheral neuroectodermal tumors (PNET)]. They generate ews/fli1 rearrangements showing great diversity in breakpoint exon combination. In about 5 % of Ewing's tumors, ews is fused to the erg gene at 21q22. The various chimeric proteins encoded may function as aberrant oncogenic transcription factors. These specific translocations can be used for exact molecular diagnosis in these poorly differentiated small round-cell tumors. Moreover, the prognostic relevance of different translocational variants has been previously suggested. Furthermore, the sensitive molecular detection of minimal metastatic and residual disease and its clinical significance can be evaluated. To address these questions more definitively in the large number of patients registered in multicenter studies, it is often necessary to access archival paraffin-embedded tumor tissue if no fresh or frozen tumor material is available for analysis by RT (reverse transcription)-PCR. Specific problems arise from formalin-fixed and paraffin-embedded tissue due to the degradation of RNA and insufficient extraction efficiency. Therefore, primer distance and product size are limited for successful PCR amplification. This conflicts with the requirement for identification of various possible exon combinations by PCR simultaneously using one single primer pair with larger distance. PATIENTS: We examined paraffin embedded soft part tumor tissue samples from 47 Ewing's tumor patients. Patients were treated according to either CWS (Cooperative Weichteilsarkomstudie, CWS-91 or CWS-96) or Euro-E.W.I.N.G. 99 therapy protocols. METHOD: We established a novel RT-PCR method, using 3 different exon specific sets of PCR primer pairs, selected according to the coding ews and fli1 nucleotide sequences (NCBI database), suitable for RT-PCR identification of variant ews/fli1 fusion transcripts in RNA isolated from formalin-fixed, paraffin-embedded tissue. For use in combination with ews -primer, an erg specific primer was selected to alternatively test for ews/erg fusion transcripts. As positive control for the integrity of isolated mRNA, we used the ubiquitously expressed gapdh transcript for RT-PCR amplification in each sample. RESULTS: In 31 cases (= 66 %) of 47 paraffin samples of Ewing's tumors analysed, gapdh control indicated adequate quality of RNA. In 16 cases no gapdh control fragment was amplifiable, nevertheless in 2 of these 16 samples distinct ews fusion products could be detected. In 23 cases we identified ews fusion transcripts. Thereof in 65 % ews exon 7 being fused to fli1 exon 6 (fusion type I), in 22 % to fli1 exon 5 (fusion type II). In 4 % each ews exon 10 being juxtaposed to fli1 either exon 6 or exon 5, respectively. An ews/erg fusion was detected in 4 % ( ews exon 7 fused to erg exon 6). In 10 samples, a gapdh fragment was amplified, but no ews/fli1 or - erg fusion transcript could be identified. The reference pathological review (I. L., Kiel, Germany) disproved the primary histopathology in 5 cases. CONCLUSIONS: Using our different sets of exon specific primer pairs, it was possible to detect 4 different breakpoints of ews/fli1 fusion transcripts and the ews/erg fusion by RT-PCR in RNA isolates from formalin-fixed, paraffin-embedded Ewing's tumor tissue. This method can be a very useful alternative in clinical situations (to ensure diagnosis and perform minimal metastatic and residual disease investigations) and in order to assess prognostic significance of translocation subtypes when no fresh tumor tissue is available.

Electrophoresis, Agar Gel↗

A systematic review of association studies investigating genes coding for serotonin receptors and the serotonin transporter: II. Suicidal behavior.

The different serotonin (5-HT) receptors, including the serotonin transporter (5-HTT), are excellent candidate genes for suicide and suicidal behavior, and thus, they have been investigated in a large number of allelic association studies. The individual results of these studies have been inconsistent and definite conclusions are difficult to establish. A reliable method for assessing individual studies and generating combined results is provided by systematic reviews using meta-analytical techniques. In this study, we carried out a systematic review of studies investigating 5-HT receptors and the 5-HTT in suicidal behavior. Studies were identified by means of MEDLINE database searches and by scanning reference lists. More than 190 articles were reviewed and 26 met the inclusion criteria. In all, 14 studies investigated six different 5-HT receptor loci and 12 studies investigated the 5-HTT promoter 44 bp insertion/deletion polymorphism. Two specific meta-analyses were carried out, pooling studies investigating the 5-HT2A 102 T/C and the 5-HTT promoter loci that included, respectively, a total of 1599 and 2539 subjects. The combined evidence was significant for association with the 5-HTT locus (Mantel-Haenszel weighted odds ratio (M-H(w) OR)=1.17 CI : 1.04-1.32, P=0.009), but not for the 5-HT2A 102 T/C variant (M-H(w) OR)=1.09 CI : 0.93-1.27, P=0.319). The 5-HTT result was robust and remained significant following sensitivity analysis, suggesting that 5-HTT may play a role in the predisposition to suicide.

Alleles↗