Genotype–phenotype databases contain data on genetic variants and associated phenotypes. In medical contexts, such databases are focused on disease-causing mutations and resulting diseases or phenotypic abnormalities. A major goal of genotype–phenotype databases is to provide assistance in assigning pathoge...
Here, we introduce such a trait database for human skin microbial communities, and then use it to characterize the bacterial residents of human skin in trait space. Bacterial traits are further compared to characteristics of bacteria more broadly using a similar database generated without any bias ...
et al. The longevity associated sh2b3 (lnk) genetic variant: selected aging phenotypes in 379,758 subjects. J. Gerontol. A. Biol. Sci. Med. Sci. https://doi.org/10.1093/gerona/glz191 (2019). Sun, B. B. et al. Genomic atlas of the human plasma proteome. Nature 558, 73–79 (...
Finally, we introduce a within-siblings method, which confirms that social confounding of FROH is modest for most traits. We therefore conclude that inbreeding depression influences a broad range of human phenotypes through the action of rare, recessive variants....
2011. Raciology: the Science of the Hereditary Traits of Peoples. Lulu.com. Mielke, J.H. , Konigsberg, L.W. and J. H: Relethford. 2011 [2006]. Human Biological Variation. 2nd Ed. Oxford University Press. New York. Pino-Yanes et al. 2011. North African Influences and Potential Bias...
All regions with linkage signals were observed in one gender, but not in the whole sample, suggesting the genetic architecture of obesity-related traits does differ by gender. These findings are useful for further identification of the liability genes for these phenotypes through candidate genes or ...
An integrated systems genetics and omics toolkit to probe gene function. Cell Syst. 6, 90–102 (2018). This study shows the power of the large accumulated data sets in the BXD mouse genetic reference population to connect genotype with phenotypes, using a range of strategies including PheWAS,...
GWAS Central provides a comprehensive collection of summary-level genetic-association data and advanced visualization tools to allow comparison and discovery of datasets from the perspective of genes, genome regions, phenotypes, or traits.33 The project collates association data and study metadata from ...
of exclusively European data and the use of genome-wide association study data, which identify associations between genetic variants and phenotypes that may not be causal. In sum, we provide an overview of signals of selection on human polygenic traits and their characteristics across human evolution...
Characterization of the molecular function of the human genome and its variation across individuals is essential for identifying the cellular mechanisms that underlie human genetic traits and diseases. The Genotype-Tissue Expression (GTEx) project aims to characterize variation in gene expression levels acr...