SumStatsRehab: an efficient algorithm for GWAS summary statistics assessment and restoration

[1] Chatterjee N(2016)Developing and evaluating polygenic risk prediction models for stratified disease prevention Nat Rev Genet 17 392-406

[2] Shi J(2008)Genome-wide association studies for complex traits: consensus, uncertainty and challenges Nat Rev Genet 9 356-369

[3] García-Closas M(2018)Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations Nat Genet 50 1219-1224

[4] McCarthy MI(2021)PUMAS: fine-tuning polygenic risk scores with GWAS summary statistics Genome Biol 22 257-4596

[5] Khera AV(2020)Is useful research data usually shared? An investigation of genome-wide association study summary statistics PLoS ONE 15 e0229578-487

[6] Zhao Z(2021)The variant call format provides efficient and robust storage of GWAS summary statistics Genome Biol 22 32-1757

[7] Thelwall M(2021)MungeSumstats: a Bioconductor package for the standardization and quality control of many GWAS summary statistics Bioinformatics 37 4593-2772

[8] Lyon MS(2018)Proper conditional analysis in the presence of missing data: Application to large scale meta-analysis of tobacco use phenotypes PLOS Genet 14 481-21

[9] Murphy AE(2016)Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets Nat Genet 48 514-306

[10] Schilder BM(2019)Genetic analyses of diverse populations improves discovery for complex traits Nature 570 1752-2055

[1] Chatterjee N(2016)Developing and evaluating polygenic risk prediction models for stratified disease prevention Nat Rev Genet 17 392-406

[2] Shi J(2008)Genome-wide association studies for complex traits: consensus, uncertainty and challenges Nat Rev Genet 9 356-369

[3] García-Closas M(2018)Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations Nat Genet 50 1219-1224

[4] McCarthy MI(2021)PUMAS: fine-tuning polygenic risk scores with GWAS summary statistics Genome Biol 22 257-4596

[5] Khera AV(2020)Is useful research data usually shared? An investigation of genome-wide association study summary statistics PLoS ONE 15 e0229578-487

[6] Zhao Z(2021)The variant call format provides efficient and robust storage of GWAS summary statistics Genome Biol 22 32-1757

[7] Thelwall M(2021)MungeSumstats: a Bioconductor package for the standardization and quality control of many GWAS summary statistics Bioinformatics 37 4593-2772

[8] Lyon MS(2018)Proper conditional analysis in the presence of missing data: Application to large scale meta-analysis of tobacco use phenotypes PLOS Genet 14 481-21

[9] Murphy AE(2016)Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets Nat Genet 48 514-306

[10] Schilder BM(2019)Genetic analyses of diverse populations improves discovery for complex traits Nature 570 1752-2055