| Genome-wide association analysis of thirty one production, health, reproduction and body conformation traits in contemporary US Holstein cows JB Cole, GR Wiggans, L Ma, TS Sonstegard, TJ Lawlor, BA Crooker, ... BMC genomics 12, 1-17, 2011 | 496 | 2011 |
| Genome-wide association study of body weight in chicken F2 resource population X Gu, C Feng, L Ma, C Song, Y Wang, Y Da, H Li, K Chen, S Ye, C Ge, ... PloS one 6 (7), e21872, 2011 | 210 | 2011 |
| Cattle sex-specific recombination and genetic control from a large pedigree analysis L Ma, JR O'Connell, PM VanRaden, B Shen, A Padhi, C Sun, DM Bickhart, ... PLoS genetics 11 (11), e1005387, 2015 | 196 | 2015 |
| A large-scale genome-wide association study in US Holstein cattle J Jiang, L Ma, D Prakapenka, PM VanRaden, JB Cole, Y Da Frontiers in genetics 10, 412, 2019 | 188 | 2019 |
| Genome-wide association study identified a narrow chromosome 1 region associated with chicken growth traits L Xie, C Luo, C Zhang, R Zhang, J Tang, Q Nie, L Ma, X Hu, N Li, Y Da, ... PloS one 7 (2), e30910, 2012 | 144 | 2012 |
| Parallel and serial computing tools for testing single-locus and epistatic SNP effects of quantitative traits in genome-wide association studies L Ma, HB Runesha, D Dvorkin, JR Garbe, Y Da BMC bioinformatics 9, 1-9, 2008 | 136 | 2008 |
| Accounting for eXentricities: analysis of the X chromosome in GWAS reveals X-linked genes implicated in autoimmune diseases D Chang, F Gao, A Slavney, L Ma, YY Waldman, AJ Sams, P Billing-Ross, ... PloS one 9 (12), e113684, 2014 | 126 | 2014 |
| XWAS: a software toolset for genetic data analysis and association studies of the X chromosome F Gao, D Chang, A Biddanda, L Ma, Y Guo, Z Zhou, A Keinan Journal of Heredity 106 (5), 666-671, 2015 | 119 | 2015 |
| Comprehensive analyses of 723 transcriptomes enhance genetic and biological interpretations for complex traits in cattle L Fang, W Cai, S Liu, O Canela-Xandri, Y Gao, J Jiang, K Rawlik, B Li, ... Genome research 30 (5), 790-801, 2020 | 115 | 2020 |
| Polygenic scores for major depressive disorder and risk of alcohol dependence AM Andersen, RH Pietrzak, HR Kranzler, L Ma, H Zhou, X Liu, J Kramer, ... JAMA psychiatry 74 (11), 1153-1160, 2017 | 109 | 2017 |
| Genome-wide association analysis of total cholesterol and high-density lipoprotein cholesterol levels using the Framingham heart study data L Ma, J Yang, HB Runesha, T Tanaka, L Ferrucci, S Bandinelli, Y Da BMC medical genetics 11, 1-11, 2010 | 109 | 2010 |
| Symposium review: Genetics, genome-wide association study, and genetic improvement of dairy fertility traits L Ma, JB Cole, Y Da, PM VanRaden Journal of dairy science 102 (4), 3735-3743, 2019 | 108 | 2019 |
| Gene-based testing of interactions in association studies of quantitative traits L Ma, AG Clark, A Keinan PLoS genetics 9 (2), e1003321, 2013 | 107 | 2013 |
| Neutral genomic regions refine models of recent rapid human population growth E Gazave, L Ma, D Chang, A Coventry, F Gao, D Muzny, E Boerwinkle, ... Proceedings of the National Academy of Sciences 111 (2), 757-762, 2014 | 101 | 2014 |
| Morphological differences between close populations discernible by multivariate analysis: a case study of genus Coilia (Teleostei: Clupeiforms) QQ Cheng, DR Lu, L Ma Aquatic Living Resources 18 (2), 187-192, 2005 | 94 | 2005 |
| GWAS and fine-mapping of livability and six disease traits in Holstein cattle E Freebern, DJA Santos, L Fang, J Jiang, KL Parker Gaddis, GE Liu, ... BMC genomics 21, 1-11, 2020 | 92 | 2020 |
| Knowledge-driven analysis identifies a gene–gene interaction affecting high-density lipoprotein cholesterol levels in multi-ethnic populations L Ma, A Brautbar, E Boerwinkle, CF Sing, AG Clark, A Keinan PLoS genetics 8 (5), e1002714, 2012 | 88 | 2012 |
| A multi-tissue atlas of regulatory variants in cattle S Liu, Y Gao, O Canela-Xandri, S Wang, Y Yu, W Cai, B Li, R Xiang, ... Nature genetics 54 (9), 1438-1447, 2022 | 84 | 2022 |
| Joint prediction of multiple quantitative traits using a Bayesian multivariate antedependence model J Jiang, Q Zhang, L Ma, J Li, Z Wang, JF Liu Heredity 115 (1), 29-36, 2015 | 78 | 2015 |
| Functional annotation and Bayesian fine-mapping reveals candidate genes for important agronomic traits in Holstein bulls J Jiang, JB Cole, E Freebern, Y Da, PM VanRaden, L Ma Communications biology 2 (1), 212, 2019 | 72 | 2019 |
