Habegger, Lukas

A global reference for human genetic variation

The 1000 Genomes Project Consortium, authors, C., Auton, A., Abecasis, G. R., Steering committee, Altshuler, D. M., Durbin, R. M., Abecasis, G. R., Bentley, D. R., Chakravarti, A., et al. (2015) · Nature

Genetic Associations and EpidemiologyForensic and Genetic Research

Cited by 18,247

Computationally efficient whole-genome regression for quantitative and binary traits

Mbatchou, J., Barnard, L., Backman, J., Marcketta, A., Kosmicki, J. A., Ziyatdinov, A., Benner, C., O’Dushlaine, C., Barber, M., Boutkov, B., et al. (2021) · Nature Genetics

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

Cited by 1,502

Personal omics profiling reveals dynamic molecular and medical phenotypes

Chen, R., Mias, G. I., Li-Pook-Than, J., Jiang, L., Lam, H. Y. K., Chen, R., Miriami, E., Karczewski, K. J., Hariharan, M., Dewey, F. E., et al. (2012) · Cell

Bioinformatics and Genomic NetworksHealth, Environment, Cognitive Aging

Cited by 1,291

A Systematic Survey of Loss-of-Function Variants in Human Protein-Coding Genes

MacArthur, D. G., Balasubramanian, S., Frankish, A., Huang, N., Morris, J., Walter, K., Jostins, L., Habegger, L., Pickrell, J. K., Montgomery, S. B., et al. (2012) · Science

Genomics and Rare DiseasesGenetic Associations and Epidemiology

Cited by 1,272

Genetic and Pharmacologic Inactivation of ANGPTL3 and Cardiovascular Disease

Dewey, F. E., Gusarova, V., Dunbar, R. L., O’Dushlaine, C., Schurmann, C., Gottesman, O., McCarthy, S., Van Hout, C. V., Bruse, S., Dansky, H. M., et al. (2017) · New England Journal of Medicine

Lipid metabolism and disordersLipoproteins and Cardiovascular Health

Cited by 885

Integrative functional genomic analysis of human brain development and neuropsychiatric risks

Li, M., Santpere, G., Imamura Kawasawa, Y., Evgrafov, O. V., Gulden, F. O., Pochareddy, S., Sunkin, S. M., Li, Z., Shin, Y., Zhu, Y., et al. (2018) · Science

Genetics and Neurodevelopmental DisordersGenomics and Chromatin Dynamics

Cited by 810

Discovery of 318 new risk loci for type 2 diabetes and related vascular outcomes among 1.4 million participants in a multi-ancestry meta-analysis

Vujkovic, M., Keaton, J. M., Lynch, J. A., Miller, D. R., Zhou, J., Tcheandjieu, C., Huffman, J. E., Assimes, T. L., Lorenz, K., Zhu, X., et al. (2020) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 741

Exome sequencing and characterization of 49,960 individuals in the UK Biobank

Van Hout, C. V., Tachmazidou, I., Backman, J. D., Hoffman, J. D., Liu, D., Pandey, A. K., Gonzaga-Jauregui, C., Khalid, S., Ye, B., Banerjee, N., et al. (2020) · Nature

Genomics and Rare DiseasesGenetic Associations and Epidemiology

Cited by 561

Inactivating Variants in ANGPTL4 and Risk of Coronary Artery Disease

Dewey, F. E., Gusarova, V., O’Dushlaine, C., Gottesman, O., Trejos, J., Hunt, C., Van Hout, C. V., Habegger, L., Buckler, D., Lai, K.-M. V., et al. (2016) · New England Journal of Medicine

Lipid metabolism and disordersLipoproteins and Cardiovascular Health

Cited by 497

Advancing human genetics research and drug discovery through exome sequencing of the UK Biobank

Szustakowski, J. D., Balasubramanian, S., Kvikstad, E., Khalid, S., Bronson, P. G., Sasson, A., Wong, E., Liu, D., Wade Davis, J., Haefliger, C., et al. (2021) · Nature Genetics

Genetic Associations and EpidemiologyGenomics and Rare Diseases

Cited by 401

Dynamic transcriptomes during neural differentiation of human embryonic stem cells revealed by short, long, and paired-end sequencing

Wu, J. Q., Habegger, L., Noisa, P., Szekely, A., Qiu, C., Hutchison, S., Raha, D., Egholm, M., Lin, H., Weissman, S., et al. (2010) · Proceedings of the National Academy of Sciences

Pluripotent Stem Cells ResearchSingle-cell and spatial transcriptomics

Cited by 189

An international genome-wide meta-analysis of primary biliary cholangitis: Novel risk loci and candidate drugs

Cordell, H. J., Fryett, J. J., Ueno, K., Darlay, R., Aiba, Y., Hitomi, Y., Kawashima, M., Nishida, N., Khor, S.-S., Gervais, O., et al. (2021) · Journal of Hepatology

Liver Diseases and ImmunityGenetic Associations and Epidemiology

Cited by 182

Genome-wide association analyses highlight etiological differences underlying newly defined subtypes of diabetes

Mansour Aly, D., Dwivedi, O. P., Prasad, R. B., Käräjämäki, A., Hjort, R., Thangam, M., Åkerlund, M., Mahajan, A., Udler, M. S., Florez, J. C., et al. (2021) · Nature Genetics

Genetic Associations and EpidemiologyDiabetes and associated disorders

Cited by 172

A deep catalogue of protein-coding variation in 983,578 individuals

Sun, K. Y., Bai, X., Chen, S., Bao, S., Zhang, C., Kapoor, M., Backman, J., Joseph, T., Maxwell, E., Mitra, G., et al. (2024) · Nature

Genomics and Rare DiseasesGenetic Associations and Epidemiology

Cited by 127

Whole exome sequencing and characterization of coding variation in 49,960 individuals in the UK Biobank

Van Hout, C. V., Tachmazidou, I., Backman, J. D., Hoffman, J. X., Ye, B., Pandey, A. K., Gonzaga-Jauregui, C., Khalid, S., Liu, D., Banerjee, N., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory)

Genomics and Rare DiseasesGenetic Associations and Epidemiology

Cited by 110