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BMC Proceedings|December 17, 2016
Powerful association test combining rare variant and gene expression using family data from Genetic Analysis Workshop 19Yen-Yi Ho, Weihua Guan, Michael O'Connell, et al.BMC Proceedings|December 17, 2016
Identity-by-descent mapping for diastolic blood pressure in unrelated Mexican AmericansXiao-Qing Liu, Jillian Fazio, Pingzhao Hu, et al.BMC Proceedings|December 17, 2016
Comparing strategies for combined testing of rare and common variants in whole sequence and genome-wide genotype dataDörthe Malzahn, Stefanie Friedrichs, Heike BickeböllerBMC Proceedings|December 17, 2016
Identity-by-descent estimation with population- and pedigree-based imputation in admixed family dataMohamad Saad, Alejandro Q Nato, Fiona L Grimson, et al.BMC Proceedings|December 17, 2016
Genome-wide association of trajectories of systolic blood pressure changeAnne E Justice, Annie Green Howard, Geetha Chittoor, et al.BMC Proceedings|December 17, 2016
A variance component method for integrated pathway analysis of gene expression dataEllen E Quillen, John Blangero, Laura AlmasyBMC Proceedings|December 17, 2016
A multistep approach to single nucleotide polymorphism-set analysis: an evaluation of power and type I error of gene-based tests of association after pathway-based association testsAlessandra Valcarcel, Kelsey Grinde, Kaitlyn Cook, et al.BMC Proceedings|December 17, 2016
Estimating relationships between phenotypes and subjects drawn from admixed familiesElizabeth M Blue, Lisa A Brown, Matthew P Conomos, et al.BMC Proceedings|December 17, 2016
Type I error rates of rare single nucleotide variants are inflated in tests of association with non-normally distributed traits using simple linear regression methodsTae-Hwi Schwantes-An, Heejong Sung, Jeremy A Sabourin, et al.BMC Proceedings|December 17, 2016
Causal effect estimation in sequencing studies: a Bayesian method to account for confounder adjustment uncertaintyChi Wang, Jinpeng Liu, David W FardoPageof 101