The New Genomics: What Molecular Databases Can Tell Us About Human Population Variation and Endocrine Disease

Variation in the repulsive guidance molecule family in human populations

Repulsive guidance molecules, RGMA, RGMB, and RGMC, are related proteins discovered independently through different experimental paradigms. They are encoded by single copy genes in mammalian and other vertebrate genomes, and are ~50% identical in amino acid sequence. The importance of RGM actions in human physiology has not been realized, as most research has focused on non-human models, although mutations in RGMC are the cause of the severe iron storage disorder, juvenile hemochromatosis. Here I show that repositories of human genomic and population genetic data can be used as starting points for discovery and for developing new testable hypotheses about each of these paralogs in human biology and disease susceptibility. Information was extracted, aggregated, and analyzed from the Ensembl and UCSC Genome Browsers, the Exome Aggregation Consortium, the Genotype-Tissue Expression project portal, the cBio portal for Cancer Genomics, and the National Cancer Institute Genomic Data Commons data site. Results identify extensive variation in gene expression patterns, substantial alternative RNA splicing, and possible missense alterations and other modifications in the coding regions of each of the three genes, with many putative mutations being detected in individuals with different types of cancers. Moreover, selected amino acid substitutions are highly prevalent in the world population, with minor allele frequencies of up to 37% for RGMA and up to 8% for RGMB. These results indicate that protein sequence variation is common in the human RGM family, and raises the possibility that individual variants will have a significant population impact on human physiology and/or disease predisposition.

Variation in Akt protein kinases in human populations

The three Akt kinases are related proteins that are essential for normal growth and metabolic regulation and are implicated as key signaling mediators in many physiological and pathophysiological processes. Each Akt is activated by common biochemical signals that act downstream of growth factor and hormone receptors via phosphatidylinositol-3 kinase, and each controls several downstream pathways. The importance of Akt actions in human physiology is strengthened by the rarity of modifying mutations in their genes and by the devastating impact caused by these mutations on growth and development and in disorders such as cancer. Recent advances in genomics present unique opportunities for enhancing our understanding of human physiology and disease predisposition through the lens of population genetics, and the availability of DNA sequence data from 60,706 people in the Exome Aggregation Consortium has prompted this analysis. Results reveal a cohort of potential missense and other alterations in the coding regions of each AKT gene, but with nearly all changes being uncommon. The total number of different alleles per gene varied over an approximately threefold range, from 52 for AKT3 to 158 for AKT2, with variants distributed throughout all Akt protein domains. Previously characterized disease-causing mutations were found rarely in the general population. In contrast, a fairly prevalent amino acid substitution in AKT2 appears to be linked to increased predisposition for type 2 diabetes. Further analysis of variant Akt molecules as identified here will provide opportunities to understand the intricacies of Akt signaling and actions at a population level in human physiology and pathology.