- Guido Barbujani, University of Ferrara
- Anna Malacrida, University of Pavia
- Michele Morgante, Universita' di Udine
- James Reecy, Iowa State University
- John Schimenti, Cornell University
- Roscoe Stanyon, Univeristy of Florence
- Rongling Wu, Pennsylvania State University
- Simon Harold, BioMed Central
A review of computational tools to select candidate genes for association studies provides a user-friendly guide to help identify disease-associated genetic variants, aimed particularly for use in the medical and cancer research communities.
The unified approach for estimating breeding values for maternally influenced traits in honey bees is an accurate and useful methodology for genetic evaluation, especially for traits of apicultural interest such as resistance to Varroa mites.
Variability in the gene encoding the drug metabolizing enzyme Cytochrome P450 3A5 (CYP3A5) from 36 ethnically diverse populations in Africa reveals that 43% of individuals express this gene, consistent with it playing a role in salt-retention.
A powerful single locus genotyping method for amplifying MHC class IIB loci in black grouse indicate that duplication of the BLB gene occurred before the species diverged from chickens and pheasants.
A genome-wide association study in Angus cattle to detect susceptibility to infectious bovine keratoconjunctivitis (pinkeye) identifies several SNPs in linkage disequilibrium with the phenotype, which may lead to identification of causative genetic variants.
- View more articles
BMC Genetics 2013, 14:42
BMC Genetics is an open access, peer-reviewed journal that considers articles on all aspects of inheritance and variation in individuals and among populations.
It is journal policy to publish work deemed by peer reviewers to be a coherent and sound addition to scientific knowledge and to put less emphasis on interest levels, provided that the research constitutes a useful contribution to the field.
BMC series blog
Section Editor's profile
Rongling Wu is a Professor of Biostatistics and Bioinformatics and the Director of the Center for Statistical Genetics at The Pennsylvania State University. Dr. Wu's research interest focuses on the development of novel statistical models, designs, and algorithms for comprehending the genetic and epigenetic architecture of complex biological traits and processes. He is also interested in the construction of the genotype-phenotype map using network biology and systems biology. More recently, Dr. Wu has integrated his statistical approaches to experimental studies of complex trait genetics in the Center for Computational Biology he founded at Beijing Forestry University."As one of the earliest open access journals, BMC Genetics has been increasingly influential over years in the area of genetic research. It will continue to be a mainstream forum to publish the latest discoveries in genetics and genomics from leading scientists all around the world. In particular, it attracts the attention of the most promising young scientists to find, stimulate and publish various new ideas for higher-level research in genetics."
Professor Rongling Wu