Xi, Hualin S.

Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression

eQTLGen, Wray, N. R., 23andMe, the Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E. M., Abdellaoui, A., Adams, M. J., et al. (2018) · Nature Genetics

Genetic Associations and EpidemiologyTreatment of Major Depression

Cited by 3,005

Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

Vilhjálmsson, B. J., Yang, J., Finucane, H. K., Gusev, A., Lindström, S., Ripke, S., Genovese, G., Loh, P.-R., Bhatia, G., Do, R., et al. (2015) · The American Journal of Human Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 1,303

Partitioning Heritability of Regulatory and Cell-Type-Specific Variants across 11 Common Diseases

Gusev, A., Lee, S. H., Trynka, G., Finucane, H., Vilhjálmsson, B. J., Xu, H., Zang, C., Ripke, S., Bulik-Sullivan, B., Stahl, E., et al. (2014) · The American Journal of Human Genetics

Genetic Associations and EpidemiologyGenomics and Chromatin Dynamics

Cited by 544

Using an atlas of gene regulation across 44 human tissues to inform complex disease- and trait-associated variation

GTEx Consortium, Gamazon, E. R., Segrè, A. V., van de Bunt, M., Wen, X., Xi, H. S., Hormozdiari, F., Ongen, H., Konkashbaev, A., Derks, E. M., et al. (2018) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 412

Developmental and genetic regulation of the human cortex transcriptome illuminate schizophrenia pathogenesis

The BrainSeq Consortium, Jaffe, A. E., Straub, R. E., Shin, J. H., Tao, R., Gao, Y., Collado-Torres, L., Kam-Thong, T., Xi, H. S., Quan, J., et al. (2018) · Nature Neuroscience

Schizophrenia research and treatmentGenetic Associations and Epidemiology

Cited by 364

Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regions

Sieberts, S. K., Perumal, T. M., Carrasquillo, M. M., Allen, M., Reddy, J. S., Hoffman, G. E., Dang, K. K., Calley, J., Ebert, P. J., Eddy, J., et al. (2020) · Scientific Data

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 318

Integrated analysis of environmental and genetic influences on cord blood DNA methylation in new-borns

Czamara, D., Eraslan, G., Page, C. M., Lahti, J., Lahti-Pulkkinen, M., Hämäläinen, E., Kajantie, E., Laivuori, H., Villa, P. M., Reynolds, R. M., et al. (2019) · Nature Communications

Epigenetics and DNA MethylationBirth, Development, and Health

Cited by 143

Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics

Barbeira, A. N., Dickinson, S. P., Bonazzola, R., Zheng, J., Wheeler, H. E., Torres, J. M., Torstenson, E. S., Shah, K. P., Garcia, T., Edwards, T. L., et al. (2018) · Nature Communications

Genetic Associations and EpidemiologyBioinformatics and Genomic Networks

Cited by 69

Investigating the neuroimmunogenic architecture of schizophrenia

Birnbaum, R., Jaffe, A. E., Chen, Q., Shin, J. H., BrainSeq Consortium, Schubert, C. R., O'Donnell, P., Quan, J., Wendland, J. R., Xi, H. S., et al. (2018) · Molecular Psychiatry

Tryptophan and brain disordersSchizophrenia research and treatment

Cited by 67