Li, Mingyao

Biological, clinical and population relevance of 95 loci for blood lipids

Teslovich, T. M., Musunuru, K., Smith, A. V., Edmondson, A. C., Stylianou, I. M., Koseki, M., Pirruccello, J. P., Ripatti, S., Chasman, D. I., Willer, C. J., et al. (2010) · Nature

Genetic Associations and EpidemiologyLipoproteins and Cardiovascular Health

Cited by 3,487

Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease

Cardiogenics, Schunkert, H., the CARDIoGRAM Consortium, König, I. R., Kathiresan, S., Reilly, M. P., Assimes, T. L., Holm, H., Preuss, M., Stewart, A. F. R., et al. (2011) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 1,866

PennCNV: An integrated hidden Markov model designed for high-resolution copy number variation detection in whole-genome SNP genotyping data

Wang, K., Li, M., Hadley, D., Liu, R., Glessner, J., Grant, S. F. A., Hakonarson, H., & Bucan, M. (2007) · Genome Research

Genomic variations and chromosomal abnormalitiesGenome Rearrangement Algorithms

Cited by 1,792

A large genome-wide association study of age-related macular degeneration highlights contributions of rare and common variants

Fritsche, L. G., Igl, W., Bailey, J. N. C., Grassmann, F., Sengupta, S., Bragg-Gresham, J. L., Burdon, K. P., Hebbring, S. J., Wen, C., Gorski, M., et al. (2016) · Nature Genetics

Retinal Diseases and TreatmentsGenetic Associations and Epidemiology

Cited by 1,544

SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network

Hu, J., Li, X., Coleman, K., Schroeder, A., Ma, N., Irwin, D. J., Lee, E. B., Shinohara, R. T., & Li, M. (2021) · Nature Methods

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 1,113

Exome sequencing identifies rare LDLR and APOA5 alleles conferring risk for myocardial infarction

Do, R., Stitziel, N. O., Won, H.-H., Jørgensen, A. B., Duga, S., Angelica Merlini, P., Kiezun, A., Farrall, M., Goel, A., Zuk, O., et al. (2015) · Nature

Lipoproteins and Cardiovascular HealthGenetic Associations and Epidemiology

Cited by 650

Meta-analysis and imputation refines the association of 15q25 with smoking quantity

The Wellcome Trust Case Control Consortium, Liu, J. Z., Tozzi, F., Waterworth, D. M., Pillai, S. G., Muglia, P., Middleton, L., Berrettini, W., Knouff, C. W., Yuan, X., et al. (2010) · Nature Genetics

Genetic Associations and EpidemiologySmoking Behavior and Cessation

Cited by 614

Genome-wide analyses of exonic copy number variants in a family-based study point to novel autism susceptibility genes

Bucan, M., Abrahams, B. S., Wang, K., Glessner, J. T., Herman, E. I., Sonnenblick, L. I., Alvarez Retuerto, A. I., Imielinski, M., Hadley, D., Bradfield, J. P., et al. (2009) · PLoS Genetics

Autism Spectrum Disorder ResearchGenomic variations and chromosomal abnormalities

Cited by 424

Strong association of the Y402H variant in complement factor H at 1q32 with susceptibility to age-related macular degeneration

Zareparsi, S., Branham, K. E. H., Li, M., Shah, S., Klein, R. J., Ott, J., Hoh, J., Abecasis, G. R., & Swaroop, A. (2005) · The American Journal of Human Genetics

Retinal Diseases and TreatmentsComplement system in diseases

Cited by 371

CFH haplotypes without the Y402H coding variant show strong association with susceptibility to age-related macular degeneration

Li, M., Atmaca-Sonmez, P., Othman, M., Branham, K. E. H., Khanna, R., Wade, M. S., Li, Y., Liang, L., Zareparsi, S., Swaroop, A., et al. (2006) · Nature Genetics

Retinal Diseases and TreatmentsComplement system in diseases

Cited by 354

Diverse Genome-wide Association Studies Associate the IL12/IL23 Pathway with Crohn Disease

Wang, K., Zhang, H., Kugathasan, S., Annese, V., Bradfield, J. P., Russell, R. K., Sleiman, P. M. A., Imielinski, M., Glessner, J., Hou, C., et al. (2009) · The American Journal of Human Genetics

Inflammatory Bowel DiseaseGenetic Associations and Epidemiology

Cited by 291

Adeno-Associated Virus-Induced Dorsal Root Ganglion Pathology

Hordeaux, J., Buza, E. L., Dyer, C., Goode, T., Mitchell, T. W., Richman, L., Denton, N., Hinderer, C., Katz, N., Schmid, R., et al. (2020) · Human Gene Therapy

Virus-based gene therapy researchRNA Interference and Gene Delivery

Cited by 257

APOE and TREM2 regulate amyloid-responsive microglia in Alzheimer’s disease

Nguyen, A. T., Wang, K., Hu, G., Wang, X., Miao, Z., Azevedo, J. A., Suh, E., Van Deerlin, V. M., Choi, D., Roeder, K., et al. (2020) · Acta Neuropathologica

Neuroinflammation and Neurodegeneration MechanismsAlzheimer's disease research and treatments

Cited by 241

Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histology

Zhang, D., Schroeder, A., Yan, H., Yang, H., Hu, J., Lee, M. Y. Y., Cho, K. S., Susztak, K., Xu, G. X., Feldman, M. D., et al. (2024) · Nature Biotechnology

Single-cell and spatial transcriptomicsCell Image Analysis Techniques

Cited by 219

Single-Cell RNA Sequencing to Dissect the Immunological Network of Autoimmune Myocarditis.

Hua, X., Hu, G., Hu, Q., Chang, Y., Hu, Y., Gao, L., Chen, X., Yang, P.-C., Zhang, Y., Li, M., et al. (2020) · Circulation

Viral Infections and Immunology ResearchCardiac Fibrosis and Remodeling

Cited by 201

Toll-like receptor 4 variant D299G is associated with susceptibility to age-related macular degeneration

Zareparsi, S., Buraczynska, M., Branham, K. E. H., Shah, S., Eng, D., Li, M., Pawar, H., Yashar, B. M., Moroi, S. E., Lichter, P. R., et al. (2005) · Human Molecular Genetics

Retinal Diseases and TreatmentsGenetic Associations and Epidemiology

Cited by 190

MicroRNA-mediated inhibition of transgene expression reduces dorsal root ganglion toxicity by AAV vectors in primates

Hordeaux, J., Buza, E. L., Jeffrey, B., Song, C., Jahan, T., Yuan, Y., Zhu, Y., Bell, P., Li, M., Chichester, J. A., et al. (2020) · Science Translational Medicine

Virus-based gene therapy researchRNA Interference and Gene Delivery

Cited by 174

RNA-sequence analysis of human B-cells

Toung, J. M., Morley, M., Li, M., & Cheung, V. G. (2011) · Genome Research

Genomics and Phylogenetic StudiesRNA Research and Splicing

Cited by 142

Leveraging information in spatial transcriptomics to predict super-resolution gene expression from histology images in tumors

Pang, M., Su, K., & Li, M. (2021) · bioRxiv (Cold Spring Harbor Laboratory)

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 130

Functional Analysis and Transcriptomic Profiling of iPSC-Derived Macrophages and Their Application in Modeling Mendelian Disease

Zhang, H., Xue, C., Shah, R., Bermingham, K., Hinkle, C. C., Li, W., Rodrigues, A., Tabita-Martinez, J., Millar, J. S., Cuchel, M., et al. (2015) · Circulation Research

Pluripotent Stem Cells ResearchImmune cells in cancer

Cited by 126

A multi-use deep learning method for CITE-seq and single-cell RNA-seq data integration with cell surface protein prediction and imputation

Lakkis, J., Schroeder, A., Su, K., Lee, M. Y. Y., Bashore, A. C., Reilly, M. P., & Li, M. (2022) · Nature Machine Intelligence

Single-cell and spatial transcriptomicsBioinformatics and Genomic Networks

Cited by 105

Group lasso regularized deep learning for cancer prognosis from multi-omics and clinical features

Xie, G., Dong, C., Kong, Y., Zhong, J. F., Li, M., & Wang, K. (2019) · Genes

Gene expression and cancer classificationBreast Cancer Treatment Studies

Cited by 102

Human Alzheimer’s disease reactive astrocytes exhibit a loss of homeostastic gene expression

Dai, D. L., Li, M., & Lee, E. B. (2023) · Acta Neuropathologica Communications

Alzheimer's disease research and treatmentsNeuroinflammation and Neurodegeneration Mechanisms

Cited by 77

Evaluating the Impact of Sequencing Depth on Transcriptome Profiling in Human Adipose

Liu, Y., Ferguson, J. F., Xue, C., Silverman, I. M., Gregory, B., Reilly, M. P., & Li, M. (2013) · PLoS ONE

Genomics and Phylogenetic StudiesSingle-cell and spatial transcriptomics

Cited by 74