Biobank Lifespan

websites
This website was initiated to address the impact of specific specimen handling variables on molecular testing of human tissues. The BRN database can be surveyed by biospecimen type or by experimental factor.
This website lists studies investigating the interaction of genotype and phenotype. Open access data includes a study description, phenotypic variables of interest, study documents (questionnaire, standard operating procedures, consent forms, etc), and genotype-phenotype analyses.
The ESPRESSO project and the DataSHIELD project develop statistical methods for meta-analysis of large scale studies.
This website provides access to automated analysis of statistical power for variance components (VC), quantitative trait locis (QTL) linkage and association tests in sibships, and other common tests.
This website aims to unify human- and model-organism genetic variation databases towards increasingly holistic views into Genotype-To-Phenotype (G2P) data, and to link this system into other biomedical knowledge sources via genome browser functionality.
This website aims to solve the author/contributor name ambiguity problem in scholarly communications by creating a central registry of unique identifiers for individual researchers and an open and transparent linking mechanism between ORCID and other current author ID schemes.
This website presents a database of international, regional and national laws and policies and literature addressing human genetic population research.
This website displays an archive of the results of genetic association studies of complex human diseases and disorders.
This website includes various research tools and presents social, ethical and legal aspects of human genetics.
This website discusses three main issues. First, it helps in locating tumor specimens and related data of interest. Legal and ethical issues are addressed and a model informed consent and patient information sheet are available.
This website presents the ACCE Model Process for Evaluating Genetic Tests, which includes 1) Analytic validity of the test; 2) Clinical validity of the test; 3) Clinical utility of the test to improve patient outcomes; 4) Ethical, legal, and social issues that may arise in the context of using th
This website provides access to public databases and bioinformatic tools. NCBI conducts research in computational biology, develops software tools for analyzing genome data, and disseminates biomedical information.
This website provides access to public databases and bioinformatic tools. The resource includes data on nucleic acid and protein sequences and macromolecular structures.
This website presents this project which has undertaken a global analysis of polymorphism patterns and of linkage disequilibrium across the human genome.
This website lists and describes genetic association studies. Studies can be searched by phenotypes, genetic markers, or results of interest. Study designs and results can be compared using the browser tool. It is maintained by a team led by Professor Anthony Brookes.
Using the same outline as the STROBE statement, STREGA introduces concepts that are of particular interest in genetic association studies such as genotyping error, population stratification, modelling haplotype variation, Hardy-Weinberg equilibrium, and replication.
This website presents the EGAPP™ (Evaluation of Genomic Applications in Practice and Prevention) project whose main goal is to establish and test a systematic, evidence-based process for evaluating genetic tests and other applications of genomic technology that are in transition from research to
This website, from Gonçalo Abecasis' research group, emphases on developing computational and statistical software required for understanding human genetic variation, with a particular focus on complex human disease and encompassing both linkage and association analysis.
This website provides information about, and access to software for, applications in Bayesian and computational statistics particularly in population genetics.
PEDSYS is a database system developed to provide a software environment in which to manage and analyse genetic and demographic data, particularly in relation to pedigree (family-based) data. The system supports integrated collection, management and analysis of constantly evolving data sets.

Pages