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Full-Text Articles in Genomics
Cryptic Distant Relatives Are Common In Both Isolated And Cosmopolitan Genetic Samples, Brenna M. Henn, Lawrence S. Hon, J. Michael Macpherson, Nicholas Eriksson, Serge Saxonov, Itsik Pe'er, Joanna Mountain
Cryptic Distant Relatives Are Common In Both Isolated And Cosmopolitan Genetic Samples, Brenna M. Henn, Lawrence S. Hon, J. Michael Macpherson, Nicholas Eriksson, Serge Saxonov, Itsik Pe'er, Joanna Mountain
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
Although a few hundred single nucleotide polymorphisms (SNPs) suffice to infer close familial relationships, high density genome-wide SNP data make possible the inference of more distant relationships such as 2nd to 9th cousinships. In order to characterize the relationship between genetic similarity and degree of kinship given a timeframe of 100–300 years, we analyzed the sharing of DNA inferred to be identical by descent (IBD) in a subset of individuals from the 23andMe customer database (n = 22,757) and from the Human Genome Diversity Panel (HGDP-CEPH, n = 952). With data from 121 populations, we show that the average amount …
Web-Based, Participant-Driven Studies Yield Novel Genetic Associations For Common Traits, Nicholas Eriksson, J. Michael Macpherson, Joyce Y. Tung, Lawrence S. Hon, Brian Naughton, Serge Saxonov, Linda Avey, Anne Wojcicki, Itsik Pe'er, Joanna Mountain
Web-Based, Participant-Driven Studies Yield Novel Genetic Associations For Common Traits, Nicholas Eriksson, J. Michael Macpherson, Joyce Y. Tung, Lawrence S. Hon, Brian Naughton, Serge Saxonov, Linda Avey, Anne Wojcicki, Itsik Pe'er, Joanna Mountain
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
Despite the recent rapid growth in genome-wide data, much of human variation remains entirely unexplained. A significant challenge in the pursuit of the genetic basis for variation in common human traits is the efficient, coordinated collection of genotype and phenotype data. We have developed a novel research framework that facilitates the parallel study of a wide assortment of traits within a single cohort. The approach takes advantage of the interactivity of the Web both to gather data and to present genetic information to research participants, while taking care to correct for the population structure inherent to this study design. Here …