Evaluation of sequencing strategies for whole-genome imputation with hybrid peeling

[1] Whalen A(2018)Hybrid peeling for fast and accurate calling, phasing, and imputation with sequence data of any coverage in pedigrees Genet Sel Evol. 50 67-635

[2] Ros-Freixedes R(2012)Extremely low-coverage sequencing and imputation increases power for genome-wide association studies Nat Genet 44 631-865

[3] Wilson DL(2014)Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle Nat Genet 46 858-918

[4] Gorjanc G(2016)Genome-wide association of multiple complex traits in outbred mice by ultra-low-coverage sequencing Nat Genet 48 912-631

[5] Hickey JM(2017)Within-breed and multi-breed GWAS on imputed whole-genome sequence variants reveal candidate mutations affecting milk protein composition in dairy cattle Genet Sel Evol. 49 68-47

[6] Pasaniuc B(2010)Accurate prediction of genetic values for complex traits by whole-genome resequencing Genetics 185 623-444

[7] Rohland N(2014)Toward genomic prediction from whole-genome sequence data: impact of sequencing design on genotype imputation and accuracy of predictions Heredity 112 39-951

[8] McLaren PJ(2018)Utility of whole-genome sequence data for across-breed genomic prediction Genet Sel Evol. 50 27-332

[9] Garimella K(2015)Deep sequencing of Danish Holstein dairy cattle for variant detection and insight into potential loss-of-function variants in protein coding genes BMC Genomics. 16 1043-689

[10] Zaitlen N(2015)Large-scale whole-genome sequencing of the Icelandic population Nat Genet 47 435-5534

[1] Whalen A(2018)Hybrid peeling for fast and accurate calling, phasing, and imputation with sequence data of any coverage in pedigrees Genet Sel Evol. 50 67-635

[2] Ros-Freixedes R(2012)Extremely low-coverage sequencing and imputation increases power for genome-wide association studies Nat Genet 44 631-865

[3] Wilson DL(2014)Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle Nat Genet 46 858-918

[4] Gorjanc G(2016)Genome-wide association of multiple complex traits in outbred mice by ultra-low-coverage sequencing Nat Genet 48 912-631

[5] Hickey JM(2017)Within-breed and multi-breed GWAS on imputed whole-genome sequence variants reveal candidate mutations affecting milk protein composition in dairy cattle Genet Sel Evol. 49 68-47

[6] Pasaniuc B(2010)Accurate prediction of genetic values for complex traits by whole-genome resequencing Genetics 185 623-444

[7] Rohland N(2014)Toward genomic prediction from whole-genome sequence data: impact of sequencing design on genotype imputation and accuracy of predictions Heredity 112 39-951

[8] McLaren PJ(2018)Utility of whole-genome sequence data for across-breed genomic prediction Genet Sel Evol. 50 27-332

[9] Garimella K(2015)Deep sequencing of Danish Holstein dairy cattle for variant detection and insight into potential loss-of-function variants in protein coding genes BMC Genomics. 16 1043-689

[10] Zaitlen N(2015)Large-scale whole-genome sequencing of the Icelandic population Nat Genet 47 435-5534