| Integrative approaches for large-scale transcriptome-wide association studies A Gusev, A Ko, H Shi, G Bhatia, W Chong, BWJ Penninx, R Jansen, ... Nature Genetics 48, 245–252, 2016 | 1565 | 2016 |
| Modeling linkage disequilibrium increases accuracy of polygenic risk scores BJ Vilhjálmsson, J Yang, HK Finucane, A Gusev, S Lindström, S Ripke, ... The american journal of human genetics 97 (4), 576-592, 2015 | 1195 | 2015 |
| Leveraging polygenic functional enrichment to improve GWAS power G Kichaev, G Bhatia, PR Loh, S Gazal, K Burch, MK Freund, A Schoech, ... The American Journal of Human Genetics 104 (1), 65-75, 2019 | 727 | 2019 |
| Mapping the human genetic architecture of COVID-19 M Niemi, J Karjalainen, R Liao, B Neale, M Daly, A Ganna, G Pathak, ... Nature, 2021 | 635* | 2021 |
| Partitioning heritability of regulatory and cell-type-specific variants across 11 common diseases A Gusev, SH Lee, G Trynka, H Finucane, BJ Vilhjálmsson, H Xu, C Zang, ... The American Journal of Human Genetics 95 (5), 535-552, 2014 | 632 | 2014 |
| Colocalization of GWAS and eQTL signals detects target genes F Hormozdiari, M Van De Bunt, AV Segre, X Li, JWJ Joo, M Bilow, JH Sul, ... The American Journal of Human Genetics 99 (6), 1245-1260, 2016 | 594 | 2016 |
| Opportunities and challenges for transcriptome-wide association studies M Wainberg, N Sinnott-Armstrong, N Mancuso, AN Barbeira, DA Knowles, ... Nature genetics 51 (4), 592-599, 2019 | 570 | 2019 |
| Integrating functional data to prioritize causal variants in statistical fine-mapping studies G Kichaev, WY Yang, S Lindstrom, F Hormozdiari, E Eskin, AL Price, ... PLoS genetics 10 (10), e1004722, 2014 | 501 | 2014 |
| Identifying causal variants at loci with multiple signals of association F Hormozdiari, E Kostem, EY Kang, B Pasaniuc, E Eskin Proceedings of the 5th ACM Conference on Bioinformatics, Computational …, 2014 | 432 | 2014 |
| Using extended genealogy to estimate components of heritability for 23 quantitative and dichotomous traits N Zaitlen, P Kraft, N Patterson, B Pasaniuc, G Bhatia, S Pollack, AL Price PLoS genetics 9 (5), e1003520, 2013 | 405 | 2013 |
| Dissecting the genetics of complex traits using summary association statistics B Pasaniuc, AL Price Nature Reviews Genetics, 072934, 2016 | 402 | 2016 |
| Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights A Gusev, N Mancuso, H Won, M Kousi, HK Finucane, Y Reshef, L Song, ... Nature genetics 50 (4), 538-548, 2018 | 391 | 2018 |
| Contrasting the genetic architecture of 30 complex traits from summary association data H Shi, G Kichaev, B Pasaniuc American Journal of Human Genetics, 035907, 2016 | 366 | 2016 |
| Extremely low-coverage sequencing and imputation increases power for genome-wide association studies B Pasaniuc, N Rohland, PJ McLaren, K Garimella, N Zaitlen, H Li, ... Nature genetics 44 (6), 631-635, 2012 | 266 | 2012 |
| Integrating gene expression with summary association statistics to identify genes associated with 30 complex traits N Mancuso, H Shi, P Goddard, G Kichaev, A Gusev, B Pasaniuc The American Journal of Human Genetics 100 (3), 473-487, 2017 | 247 | 2017 |
| Probabilistic fine-mapping of transcriptome-wide association studies N Mancuso, MK Freund, R Johnson, H Shi, G Kichaev, A Gusev, ... Nature genetics 51 (4), 675-682, 2019 | 245 | 2019 |
| Fast and accurate inference of local ancestry in Latino populations Y Baran, B Pasaniuc, S Sankararaman, DG Torgerson, C Gignoux, C Eng, ... Bioinformatics 28 (10), 1359-1367, 2012 | 240 | 2012 |
| Local genetic correlation gives insights into the shared genetic architecture of complex traits H Shi, N Mancuso, S Spendlove, B Pasaniuc The American Journal of Human Genetics 101 (5), 737-751, 2017 | 219 | 2017 |
| A Bayesian framework for multiple trait colocalization from summary association statistics C Giambartolomei, J Zhenli Liu, W Zhang, M Hauberg, H Shi, J Boocock, ... Bioinformatics 34 (15), 2538-2545, 2018 | 205 | 2018 |
| Fast and accurate imputation of summary statistics enhances evidence of functional enrichment B Pasaniuc, N Zaitlen, H Shi, G Bhatia, A Gusev, J Pickrell, J Hirschhorn, ... Bioinformatics 30 (20), 2906-2914, 2014 | 201 | 2014 |
Alexander (Sasha) GusevDana-Farber Cancer InstituteEmail verificata su dfci.harvard.edu
