The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.
Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations
Open accessPublished version of a preprint
Abstract
Most loci identified by GWASs have been found in populations of European ancestry (EUR). In trans-ethnic meta-analyses for 15 hematological traits in 746,667 participants, including 184,535 non-EUR individuals, we identified 5,552 trait-variant associations at p < 5 × 10-9, including 71 novel associations not found in EUR populations. We also identified 28 additional novel variants in ancestry-specific, non-EUR meta-analyses, including an IL7 missense variant in South Asians associated with lymphocyte count in vivo and IL-7 secretion levels in vitro. Fine-mapping prioritized variants annotated as functional and generated 95% credible sets that were 30% smaller when using the trans-ethnic as opposed to the EUR-only results. We explored the clinical significance and predictive value of trans-ethnic variants in multiple populations and compared genetic architecture and the effect of natural selection on these blood phenotypes between populations. Altogether, our results for hematological traits highlight the value of a more global representation of populations in genetic studies.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“This locus on chromosome 13 is well-known for its association with blood cell traits and autoimmune diseases [40][41][42]”
From Plasma proteomic associations with genetics and health in the UK Biobank (2023) · cites this paper as [40]
Experimental — accuracy not yet measuredIn the citing paper
“Population-based genetic variation has largely been studied for blood cell traits, and over ten thousand loci have been defined across the allelic spectrum that explain inter-individual variation in such traits (Astle et al., 2016; Chen et al., 2020; Vuckovic et al., 2020).”
From Unraveling Hematopoiesis through the Lens of Genomics (2020) · cites this paper as Chen et al., 2020
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
ESTIMATING F -STATISTICS FOR THE ANALYSIS OF POPULATION STRUCTURE
Weir, B. S., & Cockerham, C. C. (1984) · Evolution · doi:10.1111/j.1558-5646.1984.tb05657.x · Cited by 18,909
Estimating F-Statistics for the Analysis of Population Structure
Weir, B. S., & Cockerham, C. C. (1984) · Evolution · doi:10.2307/2408641 · Cited by 11,023
The UK Biobank resource with deep phenotyping and genomic data
Bycroft, C., Freeman, C., Petkova, D., Band, G., Elliott, L. T., Sharp, K., Motyer, A., Vukcevic, D., Delaneau, O., O’Connell, J., et al. (2018) · Nature · doi:10.1038/s41586-018-0579-z · Cited by 8,876
An integrated map of genetic variation from 1,092 human genomes
The 1000 Genomes Project Consortium (2012) · Nature · doi:10.1038/nature11632 · Cited by 7,711
LD Score regression distinguishes confounding from polygenicity in genome-wide association studies
Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bulik-Sullivan, B. K., Loh, P.-R., Finucane, H. K., Ripke, S., Yang, J., Patterson, N., Daly, M. J., Price, A. L., & Neale, B. M. (2015) · Nature Genetics · doi:10.1038/ng.3211 · Cited by 5,559
METAL: fast and efficient meta-analysis of genomewide association scans
Willer, C. J., Li, Y., & Abecasis, G. R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq340 · Cited by 5,205
An atlas of genetic correlations across human diseases and traits
ReproGen Consortium, Bulik-Sullivan, B., Psychiatric Genomics Consortium, Genetic Consortium for Anorexia Nervosa of the Wellcome Trust Case Control Consortium 3, Finucane, H. K., Anttila, V., Gusev, A., Day, F. R., Loh, P.-R., Duncan, L., et al. (2015) · Nature Genetics · doi:10.1038/ng.3406 · Cited by 4,255
Next-generation genotype imputation service and methods
Das, S., Forer, L., Schönherr, S., Sidore, C., Locke, A. E., Kwong, A., Vrieze, S. I., Chew, E. Y., Levy, S., McGue, M., et al. (2016) · Nature Genetics · doi:10.1038/ng.3656 · Cited by 3,808
A reference panel of 64,976 haplotypes for genotype imputation
the Haplotype Reference Consortium (2016) · Nature Genetics · doi:10.1038/ng.3643 · Cited by 2,836
Clinical use of current polygenic risk scores may exacerbate health disparities
Martin, A. R., Kanai, M., Kamatani, Y., Okada, Y., Neale, B. M., & Daly, M. J. (2019) · Nature Genetics · doi:10.1038/s41588-019-0379-x · Cited by 2,821
Cited by
Sorted by citations
Plasma proteomic associations with genetics and health in the UK Biobank
Sun, B. B., Chiou, J., Traylor, M., Benner, C., Hsu, Y.-H., Richardson, T. G., Surendran, P., Mahajan, A., Robins, C., Vasquez-Grinnell, S. G., et al. (2023) · Nature · doi:10.1038/s41586-023-06592-6 · Cited by 1,880
Self-citationGenomic data in the all of us research program
The All of Us Research Program Genomics Investigators, Manuscript Writing Group, Bick, A. G., Metcalf, G. A., Mayo, K. R., Lichtenstein, L., Rura, S., Carroll, R. J., Musick, A., Linder, J. E., et al. (2024) · Nature · doi:10.1038/s41586-023-06957-x · Cited by 829
Zhao, J. H., Stacey, D., Eriksson, N., Macdonald-Dunlop, E., Hedman, Å. K., Kalnapenkis, A., Enroth, S., Cozzetto, D., Digby-Bell, J. L., Marten, J., et al. (2023) · Nature Immunology · doi:10.1038/s41590-023-01588-w · Cited by 781
Mahajan, A., Spracklen, C. N., Zhang, W., Ng, M. C. Y., Petty, L. E., Kitajima, H., Yu, G. Z., Rüeger, S., Speidel, L., Kim, Y. J., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01058-3 · Cited by 704
Single-cell eQTL mapping identifies cell type–specific genetic control of autoimmune disease
Yazar, S., Alquicira-Hernandez, J., Wing, K., Senabouth, A., Gordon, M. G., Andersen, S., Lu, Q., Rowson, A., Taylor, T. R. P., Clarke, L., et al. (2022) · Science · doi:10.1126/science.abf3041 · Cited by 682
The Polygenic and Monogenic Basis of Blood Traits and Diseases
Vuckovic, D., Bao, E. L., Akbari, P., Lareau, C. A., Mousas, A., Jiang, T., Chen, M.-H., Raffield, L. M., Tardaguila, M., Huffman, J. E., et al. (2020) · Cell · doi:10.1016/j.cell.2020.08.008 · Cited by 671
Self-citationDiversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program
Verma, A., Huffman, J. E., Rodriguez, A., Conery, M., Liu, M., Ho, Y.-L., Kim, Y., Heise, D. A., Guare, L., Panickan, V. A., et al. (2024) · Science · doi:10.1126/science.adj1182 · Cited by 463
Ishigaki, K., Sakaue, S., Terao, C., Luo, Y., Sonehara, K., Yamaguchi, K., Amariuta, T., Too, C. L., Laufer, V. A., Scott, I. C., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01213-w · Cited by 347
Principles and methods for transferring polygenic risk scores across global populations
Kachuri, L., Chatterjee, N., Hirbo, J. B., Schaid, D. J., Martin, I. K., Kullo, I. J., Kenny, E. E., Paşaniuc, B., Auer, P. L., Conomos, M. P., et al. (2023) · Nature Reviews Genetics · doi:10.1038/s41576-023-00637-2 · Cited by 366
Weissbrod, O., Kanai, M., Shi, H., Gazal, S., Peyrot, W. J., Khera, A. V., Okada, Y., The Biobank Japan Project, Matsuda, K., Yamanashi, Y., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01036-9 · Cited by 262
Jagadeesh, K. A., Dey, K. K., Montoro, D. T., Mohan, R., Gazal, S., Engreitz, J. M., Xavier, R. J., Price, A. L., & Regev, A. (2022) · Nature Genetics · doi:10.1038/s41588-022-01187-9 · Cited by 239
Zheng, Z., Liu, S., Sidorenko, J., Wang, Y., Lin, T., Yengo, L., Turley, P., Ani, A., Wang, R., Nolte, I. M., et al. (2024) · Nature Genetics · doi:10.1038/s41588-024-01704-y · Cited by 251
Discovery of target genes and pathways at GWAS loci by pooled single-cell CRISPR screens
Morris, J. A., Caragine, C., Daniloski, Z., Domingo, J., Barry, T., Lu, L., Davis, K., Ziosi, M., Glinos, D. A., Hao, S., et al. (2023) · Science · doi:10.1126/science.adh7699 · Cited by 208
Human immune diversity: from evolution to modernity
Liston, A., Humblet-Baron, S., Duffy, D., & Goris, A. (2021) · Nature Immunology · doi:10.1038/s41590-021-01058-1 · Cited by 187
Hawe, J. S., Wilson, R., Schmid, K., Zhou, L., Lakshmanan, L. N., Lehne, B. C., Kühnel, B., Scott, W. R., Wielscher, M., Yew, Y. W., et al. (2022) · Nature Genetics · doi:10.1038/s41588-021-00969-x · Cited by 170
Unraveling Hematopoiesis through the Lens of Genomics
Liggett, L. A., & Sankaran, V. G. (2020) · Cell · doi:10.1016/j.cell.2020.08.030 · Cited by 163
Massively parallel base editing to map variant effects in human hematopoiesis
Martin-Rufino, J. D., Castano, N., Pang, M., Grody, E. I., Joubran, S. R., Caulier, A., Wahlster, L., Li, T., Qiu, X., Riera-Escandell, A. M., et al. (2023) · Cell · doi:10.1016/j.cell.2023.03.035 · Cited by 130
Human germline heterozygous gain-of-function STAT6 variants cause severe allergic disease
Sharma, M., Leung, D., Momenilandi, M., Jones, L. C. W., Pacillo, L., James, A. E., Murrell, J. R., Delafontaine, S., Maimaris, J., Vaseghi-Shanjani, M., et al. (2023) · Journal of Experimental Medicine · doi:10.1084/jem.20221755 · Cited by 125
Tsuo, K., Zhou, W., Wang, Y., Kanai, M., Namba, S., Gupta, R., Majara, L., Nkambule, L. L., Morisaki, T., Okada, Y., et al. (2022) · Cell Genomics · doi:10.1016/j.xgen.2022.100212 · Cited by 126
Leveraging base-pair mammalian constraint to understand genetic variation and human disease
Sullivan, P. F., Meadows, J. R. S., Gazal, S., Phan, B. N., Li, X., Genereux, D. P., Dong, M. X., Bianchi, M., Andrews, G., Sakthikumar, S., et al. (2023) · Science · doi:10.1126/science.abn2937 · Cited by 113
A second update on mapping the human genetic architecture of COVID-19
Initiative, T. C.-1. H. G., Leadership, Kanai, M., Andrews, S. J., Cordioli, M., Stevens, C. R., Neale, B. M., Daly, M. J., Ganna, A., Writing group, et al. (2023) · Nature · doi:10.1038/s41586-023-06355-3 · Cited by 127
Mansour, A., Mousa, M., Abdelmannan, D. K., Tay, G. K., Hassoun, A. A. K., & AlSafar, H. S. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1143067 · Cited by 154
Byun, J., Han, Y., Li, Y., Xia, J., Long, E., Choi, J., Xiao, X., Zhu, M., Zhou, W., Sun, R., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01115-x · Cited by 116
The dopamine transporter gene SLC6A3: multidisease risks
Reith, M. E. A., Kortagere, S., Wiers, C. E., Sun, H., Kurian, M. A., Galli, A., Volkow, N. D., & Lin, Z. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01341-5 · Cited by 116
Wang, C., Martins-Bach, A. B., Alfaro‐Almagro, F., Douaud, G., Klein, J. C., Llera, A., Fiscone, C., Bowtell, R. W., Elliott, L. T., Smith, S. M., et al. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01074-w · Cited by 105
Cross-Ancestry Investigation of Venous Thromboembolism Genomic Predictors
Thibord, F., Klarin, D. M., Brody, J. A., Chen, M., Levin, M. G., Chasman, D. I., Goode, E. L., Hveem, K., Teder‐Laving, M., Martínez-Pérez, Á., et al. (2022) · Circulation · doi:10.1161/circulationaha.122.059675 · Cited by 105
Insights from complex trait fine-mapping across diverse populationsPreprint
Kanai, M., Ulirsch, J. C., Karjalainen, J. M., Kurki, M., Karczewski, K. J., Fauman, E. B., Wang, Q. S., Jacobs, H., Aguet, F., Ardlie, K., et al. (2021) · medRxiv · doi:10.1101/2021.09.03.21262975 · Cited by 105
Meta-analysis fine-mapping is often miscalibrated at single-variant resolution
Kanai, M., Elzur, R., Zhou, W., Zhou, W., Kanai, M., Wu, K.-H., Rasheed, H., Tsuo, K., Hirbo, J. B., Wang, Y., et al. (2022) · Cell Genomics · doi:10.1016/j.xgen.2022.100210 · Cited by 95
Multi-ancestry meta-analysis and fine-mapping in Alzheimer’s disease
Lake, J., Solsberg, C. W., Kim, J. J., Acosta‐Uribe, J., Makarious, M. B., Li, Z., Levine, K. S., Heutink, P., Alvarado, C. X., Vitale, D., et al. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02089-w · Cited by 81
Kachuri, L., Mak, A. C. Y., Hu, D., Eng, C. S., Huntsman, S., Elhawary, J. R., Gupta, N., Gabriel, S., Xiao, S., Keys, K. L., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01377-z · Cited by 94
Wang, L., Balmat, T. J., Antonia, A. L., Constantine, F. J., Henao, R., Burke, T. W., Ingham, A., McClain, M. T., Tsalik, E. L., Ko, E. R., et al. (2021) · Genome Medicine · doi:10.1186/s13073-021-00904-z · Cited by 85
The pathogenesis of gout: molecular insights from genetic, epigenomic and transcriptomic studies
Leask, M., Crișan, T. O., Ji, A., Matsuo, H., Köttgen, A., & Merriman, T. R. (2024) · Nature Reviews Rheumatology · doi:10.1038/s41584-024-01137-1 · Cited by 94
White Blood Cells and Severe COVID-19: A Mendelian Randomization Study
Sun, Y., Zhou, J., & Ye, K. (2021) · Journal of Personalized Medicine · doi:10.3390/jpm11030195 · Cited by 73
Genetic and Epigenetic Regulation of the Innate Immune Response to Gout
de Lima, J. D., de Paula, A. G. P., Yuasa, B. S., Smanioto, C. C. S., Silva, M. C. D. C., dos Santos, P. I., Braun-Prado, K., Boldt, A. B. W., & Braga, T. T. (2023) · Immunological Investigations · doi:10.1080/08820139.2023.2168554 · Cited by 73
Braat, S., Fielding, K., Han, J., Jackson, V. E., Zaloumis, S. G., Xu, J., Moir-Meyer, G., Blaauwendraad, S. M., Jaddoe, V. W. V., Gaillard, R., et al. (2024) · The Lancet Haematology · doi:10.1016/s2352-3026(24)00030-9 · Cited by 70
Asian diversity in human immune cells
Kock, K. H., Tan, L. M., Han, K. Y., Ando, Y., Jevapatarakul, D., Chatterjee, A., Lin, Q. X. X., Buyamin, E. V., Sonthalia, R., Rajagopalan, D., et al. (2025) · Cell · doi:10.1016/j.cell.2025.02.017 · Cited by 85
Tissue-specific enhancer–gene maps from multimodal single-cell data identify causal disease alleles
Sakaue, S., Weinand, K., Isaac, S., Dey, K. K., Jagadeesh, K. A., Kanai, M., Watts, G. F. M., Zhu, Z., Accelerating Medicines Partnership® RA/SLE Program and Network, Albrecht, J., et al. (2024) · Nature Genetics · doi:10.1038/s41588-024-01682-1 · Cited by 65
Miao, J., Guo, H., Song, G., Zhao, Z., Hou, L., & Lu, Q. (2023) · Nature Communications · doi:10.1038/s41467-023-36544-7 · Cited by 61
Lu, Z., Gopalan, S., Dong, Y., Conti, D. V., Paşaniuc, B., Gusev, A., & Mancuso, N. (2022) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2022.07.002 · Cited by 59
Elliott, H. R., Burrows, K., Min, J. L., Tillin, T., Mason, D., Wright, J., Santorelli, G., Smith, G. D., Lawlor, D. A., Hughes, A. D., et al. (2022) · Clinical Epigenetics · doi:10.1186/s13148-022-01351-2 · Cited by 54
Wang, L., Nykänen, N.-P., Western, D., Gorijala, P., Timsina, J., Li, F., Wang, Z., Ali, M., Yang, C., Liu, M., et al. (2024) · Molecular Neurodegeneration · doi:10.1186/s13024-023-00687-4 · Cited by 58
Genome-wide association study identifies five risk loci for pernicious anemia
Laisk, T., Lepamets, M., Koel, M., Abner, E., Metspalu, A., Nelis, M., Milani, L. A., Esko, T., & Mägi, R. (2021) · Nature Communications · doi:10.1038/s41467-021-24051-6 · Cited by 54
Hanscombe, K. B., Persyn, E., Traylor, M., Glanville, K. P., Hamer, M., Coleman, J. R. I., & Lewis, C. M. (2021) · Genome Medicine · doi:10.1186/s13073-021-00994-9 · Cited by 55
Sun, Q., Graff, M., Rowland, B., Wen, J., Huang, L., Miller‐Fleming, T. W., Haessler, J., Preuss, M. H., Chai, J. F., Lee, M. P., et al. (2021) · Journal of Human Genetics · doi:10.1038/s10038-021-00968-0 · Cited by 54
Circulating white blood cell traits and colorectal cancer risk: A Mendelian randomisation study
Constantinescu, A., Bull, C. J., Jones, N., Mitchell, R. E., Burrows, K., Dimou, N. L., Bezieau, S., Brenner, H., Buchanan, D. D., D’Amato, M., et al. (2023) · International Journal of Cancer · doi:10.1002/ijc.34691 · Cited by 50
Sun, Q., Rowland, B., Chen, J. C., Mikhaylova, A. V., Avery, C. L., Peters, U., Lundin, J. I., Matise, T. C., Buyske, S. G., Tao, R., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-45135-z · Cited by 60
The genetics of human performance
Kim, D. S., Wheeler, M. T., & Ashley, E. A. (2021) · Nature Reviews Genetics · doi:10.1038/s41576-021-00400-5 · Cited by 53
Genome-wide association study of occupational attainment as a proxy for cognitive reserve
Ko, H., Kim, S., Kim, K., Jung, S., Shim, I., Cha, S., Lee, H., Kim, B., Yoon, J., Ha, T. H., et al. (2021) · Brain · doi:10.1093/brain/awab351 · Cited by 52
Alport Syndrome: Clinical Spectrum and Therapeutic Advances
Gregorio, V. D., Çaparali, E. B., Shojaei, A., Ricardo, S., & Barua, M. (2023) · Kidney Medicine · doi:10.1016/j.xkme.2023.100631 · Cited by 51
The Physiological and Pathological Role of Acyl-CoA Oxidation
Szrok-Jurga, S., Czumaj, A., Turyn, J., Hebanowska, A., Świerczyński, J., Śledziński, T., & Stelmańska, E. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241914857 · Cited by 58
Wang, M.-Y., Zhang, Z., Zhao, S., Onodera, T., Sun, X.-N., Zhu, Q., Li, C., Li, N., Chen, S., Paredes, M., et al. (2024) · Cell Metabolism · doi:10.1016/j.cmet.2023.12.024 · Cited by 52
Hu, Y., Stilp, A. M., McHugh, C., Rao, S., Jain, D., Zheng, X., Lane, J., de Bellefon, S. M., Raffield, L. M., Chen, M., et al. (2021) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2021.04.003 · Cited by 47
Smith, J. L., Tcheandjieu, C., Dikilitas, O., Iyer, K. R., Miyazawa, K., Hilliard, A. T., Lynch, J. A., Rotter, J. I., Chen, Y.-D. I., Sheu, W. H., et al. (2024) · Circulation Genomic and Precision Medicine · doi:10.1161/circgen.123.004272 · Cited by 43
Accounting for age of onset and family history improves power in genome-wide association studies
Pedersen, E. M., Agerbo, E., Plana‐Ripoll, O., Grove, J., Dreier, J. W., Musliner, K. L., Bækvad‐Hansen, M., Athanasiadis, G. I., Schork, A. J., Bybjerg‐Grauholm, J., et al. (2022) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2022.01.009 · Cited by 40
A genome-wide association study of survival in patients with sepsis
Hernández-Beeftink, T., Guillén‐Guío, B., Lorenzo-Salazar, J. M., Corrales, A., Suarez-Pajes, E., Feng, R., Rubio‐Rodríguez, L. A., Paynton, M. L., Cruz, R., García-Laorden, M. I., et al. (2022) · Critical Care · doi:10.1186/s13054-022-04208-5 · Cited by 45
Lee, C., Chen, T., Lim, A. M. W., Chang, C.-C., Sie, J. J., Chen, P., Chang, S., Wu, S.-J., Hsu, C., Hsieh, A., et al. (2022) · Communications Biology · doi:10.1038/s42003-022-04168-0 · Cited by 44
Canonical correlation analysis for multi-omics: Application to cross-cohort analysis
Jiang, M.-Z., Aguet, F., Ardlie, K., Chen, J. C., Cornell, E. S., Cruz, D., Durda, P., Gabriel, S., Gerszten, R. E., Guo, X., et al. (2023) · PLoS Genetics · doi:10.1371/journal.pgen.1010517 · Cited by 52
Somineni, R. P., Nagpal, S., Venkateswaran, S., Cutler, D. J., Okou, D. T., Haritunians, T., Simpson, C. L., Begum, F., Datta, L. W., Quiros, A., et al. (2021) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2021.02.001 · Cited by 44
Addressing the Challenge of Biomedical Data Inequality: An Artificial Intelligence Perspective
Gao, Y., Sharma, T., & Cui, Y. (2023) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-020722-020704 · Cited by 45
Si, J., Meir, A. Y., Hong, X., Wang, G., Huang, W., Pearson, C., Adams, W. G., Wang, X., & Liang, L. (2023) · BMC Medicine · doi:10.1186/s12916-023-03003-5 · Cited by 46
Homilius, M., Zhu, W., Eddy, S. S., Thompson, P. C., Zheng, H., Warren, C. N., Evans, C. G., Kim, D. D., Xuan, L. L., Nsubuga, C., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01600-x · Cited by 43
Hirtz, R., Hars, C., Naaresh, R., Laabs, B., Antel, J., Grasemann, C., Hinney, A., Hebebrand, J., & Peters, T. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.918584 · Cited by 42
Delavy, M., Sertour, N., Patin, É., Chatelier, E. L., Cole, N. L., Dubois, F., Xie, Z., Saint‐André, V., Manichanh, C., Walker, A. W., et al. (2023) · Gut Microbes · doi:10.1080/19490976.2023.2287618 · Cited by 45
Peng, Q., Liu, X., Li, W., Jing, H., Li, J., Gao, X., Luo, Q., Breeze, C. E., Pan, S., Zheng, Q., et al. (2024) · Nature Genetics · doi:10.1038/s41588-023-01494-9 · Cited by 44
Barbu, M. C., Huider, F., Campbell, A., Amador, C., Adams, M. J., Lynall, M.-E., Howard, D. M., Walker, R. M., Morris, S. W., Van Dongen, J., et al. (2022) · Molecular Psychiatry · doi:10.1038/s41380-021-01412-7 · Cited by 43
Moksnes, M. R., Graham, S. E., Wu, K.-H., Hansen, A. F., Taliun, S. A. G., Zhou, W., Thorstensen, K., Fritsche, L. G., Gill, D., Mason, A. M., et al. (2022) · Communications Biology · doi:10.1038/s42003-022-03529-z · Cited by 41
Monocyte, neutrophil, and whole blood transcriptome dynamics following ischemic stroke
Carmona-Mora, P., Knepp, B., Jickling, G. C., Zhan, X., Hakoupian, M., Hull, H., Alomar, N., Amini, H., Sharp, F. R., Stamova, B. S., et al. (2023) · BMC Medicine · doi:10.1186/s12916-023-02766-1 · Cited by 42
Genome-wide association studies of COVID-19: Connecting the dots
Ferreira, L. C., Gomes, C. E. M., Rodrigues-Neto, J. F., & Jerônimo, S. M. B. (2022) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2022.105379 · Cited by 40
Magavern, E. F., Jacobs, B. M., Warren, H. R., Finocchiaro, G., Finer, S., van Heel, D. A., Smedley, D. P., & Caulfield, M. J. (2023) · JACC Advances · doi:10.1016/j.jacadv.2023.100573 · Cited by 41
Cross-ancestry genome-wide association studies of brain imaging phenotypes
Fu, J., Zhang, Q., Wang, J., Wang, M., Zhang, B., Zhu, W., Qiu, S., Geng, Z., Cui, G., Yu, Y., et al. (2024) · Nature Genetics · doi:10.1038/s41588-024-01766-y · Cited by 43
Yang, S., & Zhou, X. (2022) · Briefings in Bioinformatics · doi:10.1093/bib/bbac039 · Cited by 39
Zhang, Y., Elgart, M., Kurniansyah, N., Spitzer, B., Wang, H., Kim, D., Shah, N. A., Daviglus, M. L., Zee, P. C., Cai, J., et al. (2022) · EBioMedicine · doi:10.1016/j.ebiom.2022.104288 · Cited by 35
Zhou, R., Xiao, X., He, P., Zhao, Y., Xu, M., Zheng, X., Yang, R., Chen, S., Zhou, L., Zhang, D., et al. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac167 · Cited by 38
Cross-ancestry genome-wide association meta-analyses of hippocampal and subfield volumes
Liu, N., Zhang, L. J., Tian, T., Cheng, J., Zhang, B., Qiu, S., Geng, Z., Cui, G., Zhang, Q., Liao, W., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01425-8 · Cited by 39
Genome-wide association study of hospitalized COVID-19 patients in the United Arab Emirates
Mousa, M., Vurivi, H., Kannout, H., Uddin, M., Kaabi, N. A., Mahboub, B. H., Tay, G. K., & AlSafar, H. S. (2021) · EBioMedicine · doi:10.1016/j.ebiom.2021.103695 · Cited by 37
Akbari, P., Vuckovic, D., Stefanucci, L., Jiang, T., Kundu, K., Kreuzhuber, R., Bao, E. L., Collins, J., Downes, K., Grassi, L., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-40679-y · Cited by 38
Proteome-wide Systems Genetics to Identify Functional Regulators of Complex Traits
Molendijk, J., & Parker, B. L. (2021) · Cell Systems · doi:10.1016/j.cels.2020.10.005 · Cited by 35
Zeng, P., Dai, J., Jin, S., & Zhou, X. (2021) · Human Molecular Genetics · doi:10.1093/hmg/ddab056 · Cited by 36
Natri, H. M., Hudjashov, G., Jacobs, G., Kusuma, P., Saag, L., Darusallam, C. C., Metspalu, M., Sudoyo, H., Cox, M. P., Gallego Romero, I., et al. (2022) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2021.11.017 · Cited by 33
Gamma-glutamyl-leucine levels are causally associated with elevated cardio-metabolic risks
Wu, Q. H., Li, J., Zhu, J., Sun, X., He, D., Li, J., Cheng, Z., Zhang, X., Xu, Y., Chen, Q., et al. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.936220 · Cited by 34
Beyond GWAS: from simple associations to functional insights
Ishigaki, K. (2021) · Seminars in Immunopathology · doi:10.1007/s00281-021-00894-5 · Cited by 33
Correlations between complex human phenotypes vary by genetic background, gender, and environment
Elgart, M., Goodman, M. O., Isasi, C. R., Chen, H., Morrison, A. C., de Vries, P. S., Xu, H., Manichaikul, A. W., Guo, X., Franceschini, N., et al. (2022) · Cell Reports Medicine · doi:10.1016/j.xcrm.2022.100844 · Cited by 32
Elevated plasma complement factor H related 5 protein is associated with venous thromboembolism
Iglesias, M. J., Sánchez‐Rivera, L., Ibrahim‐Kosta, M., Naudin, C., Munsch, G., Goumidi, L., Farm, M., Smith, P. M., Thibord, F., Kral-Pointner, J. B., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-38383-y · Cited by 38
Heterogeneity in Hematological Parameters of High and Low Altitude Tibetan Populations
Basak, N., Norboo, T., Mustak, M. S., & Kumarasamy Thangaraj, K. (2021) · Journal of Blood Medicine · doi:10.2147/jbm.s294564 · Cited by 33
Unraveling Risk Genes of COVID-19 by Multi-Omics Integrative Analyses
Baranova, A. V., Cao, H., & Zhang, F. (2021) · Frontiers in Medicine · doi:10.3389/fmed.2021.738687 · Cited by 35
Disentangling Signatures of Selection Before and After European Colonization in Latin Americans
Mendoza‐Revilla, J., Chacón-Duque, J. C., Fuentes‐Guajardo, M., Ormond, L., Wang, K., Hurtado, M., Villegas, V., Granja, V., Acuña-Alonzo, V., Jaramillo, C., et al. (2022) · Molecular Biology and Evolution · doi:10.1093/molbev/msac076 · Cited by 35
Han, Y., Byun, J., Zhu, C., Sun, R., Roh, J. Y., Cordell, H. J., Lee, H., Shaw, V. R., Kang, S. W., Razjouyan, J., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-36678-8 · Cited by 31
SVEP1 is an endogenous ligand for the orphan receptor PEAR1
Elenbaas, J. S., Pudupakkam, U., Ashworth, K. J., Kang, C. J., Patel, V., Santana, K., Jung, I., Lee, P. C., Burks, K. H., Amrute, J., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-36486-0 · Cited by 30
IL6 genetic perturbation mimicking IL-6 inhibition is associated with lower cardiometabolic risk
Zhang, L., Omarov, M., Xu, L., deGoma, E. M., Natarajan, P., & Georgakis, M. K. (2025) · Nature Cardiovascular Research · doi:10.1038/s44161-025-00700-7 · Cited by 32
Epidemiological and genetic overlap among biological aging clocks: New challenges in biogerontology
Gialluisi, A., Santoro, A., Tirozzi, A., Cerletti, C., Donati, M. B., de Gaetano, G., Franceschi, C., & Iacoviello, L. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101502 · Cited by 31
Towards a global view of multiple sclerosis genetics
Jacobs, B. M., Peter, M., Giovannoni, G., Noyce, A. J., Morris, H. R., & Dobson, R. (2022) · Nature Reviews Neurology · doi:10.1038/s41582-022-00704-y · Cited by 31
Human immune system: Exploring diversity across individuals and populations
Nguyen, K. H. H., Le, N. V., Nguyen, P., Nguyen, H. H. T., Hoang, D. M., & Huynh, C. D. (2025) · Heliyon · doi:10.1016/j.heliyon.2025.e41836 · Cited by 37
Moksnes, M. R., Hansen, A. F., Wolford, B. N., Thomas, L. F., Rasheed, H., Simić, A., Bhatta, L., Brantsæter, A. L., Surakka, I. L., Zhou, W., et al. (2024) · Communications Biology · doi:10.1038/s42003-024-06101-z · Cited by 31
Tong, T., Zhu, C., Farrell, J. J., Khurshid, Z., Initiative, A. D. N., Martin, E. R., Pericak‐Vance, M. A., Wang, L.-S., Bush, W. S., Schellenberg, G. D., et al. (2024) · Alzheimer s Research & Therapy · doi:10.1186/s13195-024-01601-w · Cited by 31
Fitzgerald, T. W., & Birney, E. (2022) · Cell Genomics · doi:10.1016/j.xgen.2022.100167 · Cited by 26
Mikhaylova, A. V., McHugh, C., Polfus, L. M., Raffield, L. M., Boorgula, M. P., Blackwell, T. W., Brody, J. A., Broome, J., Chami, N., Chen, M., et al. (2021) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2021.08.007 · Cited by 25
Zhou, G., Ren, X., Tang, Z., Li, W., Chen, W., He, Y., Wei, B., Zhang, H., Ma, F., Chen, X., et al. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1043380 · Cited by 28
SCGB1D2 inhibits growth of Borrelia burgdorferi and affects susceptibility to Lyme disease
Strausz, S. J., Abner, E., Blacker, G., Galloway, S., Hansen, P. S., Feng, Q., Lee, B. H., Jones, S. E., Haapaniemi, H., Raak, S., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-45983-9 · Cited by 27
Kock, K. H., Kimes, P. K., Gisselbrecht, S. S., Inukai, S., Phanor, S. K., Anderson, J. T., Ramakrishnan, G., Lipper, C. H., Song, D., Kurland, J. V., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-47396-0 · Cited by 24
An allelic-series rare-variant association test for candidate-gene discovery
McCaw, Z. R., O’Dushlaine, C. T., Somineni, H., Bereket, M. D., Klein, C., Karaletsos, T., Casale, F. P., Koller, D., & Soare, T. W. (2023) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2023.07.001 · Cited by 33
Metadata
- Authors
- Chen, M.-H., Raffield, L. M., Mousas, A., Sakaue, S., Huffman, J. E., Moscati, A., Trivedi, B., Jiang, T., Akbari, P., Vuckovic, D., Bao, E. L., Zhong, X., Manansala, R., Laplante, V., Chen, M., Lo, K. S., Qian, H., Lareau, C. A., Beaudoin, M., Hunt, K. A., Akiyama, M., Bartz, T. M., Ben-Shlomo, Y., Beswick, A., Bork-Jensen, J., Bottinger, E. P., Brody, J. A., van Rooij, F. J. A., Chitrala, K., Cho, K., Choquet, H., Correa, A., Danesh, J., Di Angelantonio, E., Dimou, N., Ding, J., Elliott, P., Esko, T., Evans, M. K., Floyd, J. S., Broer, L., Grarup, N., Guo, M. H., Greinacher, A., Haessler, J., Hansen, T., Howson, J. M. M., Huang, Q. Q., Huang, W., Jorgenson, E., Kacprowski, T., Kähönen, M., Kamatani, Y., Kanai, M., Karthikeyan, S., Koskeridis, F., Lange, L. A., Lehtimäki, T., Lerch, M. M., Linneberg, A., Liu, Y., Lyytikäinen, L.-P., Manichaikul, A., Martin, H. C., Matsuda, K., Mohlke, K. L., Mononen, N., Murakami, Y., Nadkarni, G. N., Nauck, M., Nikus, K., Ouwehand, W. H., Pankratz, N., Pedersen, O., Preuss, M., Psaty, B. M., Raitakari, O. T., Roberts, D. J., Rich, S. S., Rodriguez, B. A. T., Rosen, J. D., Rotter, J. I., Schubert, P., Spracklen, C. N., Surendran, P., Tang, H., Tardif, J.-C., Trembath, R. C., Ghanbari, M., Völker, U., Völzke, H., Watkins, N. A., Zonderman, A. B., Wilson, P. W. F., Li, Y., Butterworth, A. S., Gauchat, J.-F., Chiang, C. W. K., Li, B., Loos, R. J. F., Astle, W. J., Evangelou, E., van Heel, D. A., Sankaran, V. G., Okada, Y., Soranzo, N., Johnson, A. D., Reiner, A. P., Auer, P. L., & Lettre, G.
- Affiliations
- University of Southern California (US)
- University of North Carolina at Chapel Hill (US)
- Montreal Heart Institute (CA)
- RIKEN Center for Integrative Medical Sciences (JP)
- VA Boston Healthcare System (US)
- Icahn School of Medicine at Mount Sinai (US)
- Queen Mary University of London (GB)
- University of Cambridge (GB)
- Wellcome Sanger Institute (GB)
- Broad Institute (US)
- Vanderbilt University (US)
- University of Wisconsin–Milwaukee (US)
- Université de Montréal (CA)
- Kyushu University (JP)
- University of Washington (US)
- University of Bristol (GB)
- Brigham and Women's Hospital (US)
- Kaiser Permanente (US)
- University of Mississippi Medical Center (US)
- University of Ioannina (GR)
- Wake Forest University Health Sciences (US)
- Imperial College Healthcare NHS Trust (GB)
- National Institutes of Health (US)
- Erasmus MC (NL)
- University of Copenhagen (DK)
- Universitätsmedizin Greifswald (DE)
- Fred Hutch Cancer Center (US)
- Chinese National Human Genome Center (CN)
- Tampere University (FI)
- Massachusetts General Hospital (US)
- University of Colorado Anschutz (US)
- Duke University (US)
- University of Virginia (US)
- The University of Tokyo (JP)
- Institute of Medical Science, The University of Tokyo (JP)
- National Health Service (GB)
- University of Minnesota (US)
- Kaiser Permanente Washington Health Research Institute (US)
- University of Turku (FI)
- NHS Blood and Transplant (GB)
- National Heart, Lung, and Blood Institute (US)
- The Lundquist Institute (US)
- Stanford Medicine (US)
- King's College London (GB)
- Mashhad University of Medical Sciences (IR)
- Atlanta VA Medical Center (US)
- The University of Osaka (JP)
- Corresponding author
- Auer, Paul L.
- Lettre, Guillaume
- ORCID
- Chen, Ming-Huei
- Raffield, Laura M.
- Mousas, Abdou
- Sakaue, Saori
- Huffman, Jennifer E.
- Moscati, Arden
- Akbari, Parsa
- Vuckovic, Dragana
- Bao, Erik L.
- Zhong, Xue
- Manansala, Regina
- Chen, Minhui
- Lo, Ken Sin
- Qian, Huijun
- Lareau, Caleb A.
- Beaudoin, Mélissa
- Hunt, Karen A.
- Akiyama, Masato
- Bartz, Traci M.
- Beswick, Andrew
- Brody, Jennifer A.
- Cho, Kelly
- Choquet, Hélène
- Correa, Adolfo
- Danesh, John
- Dimou, Niki
- Ding, Jingzhong
- Elliott, Paul
- Esko, Tõnu
- Evans, Michele K.
- Floyd, James S.
- Broer, Linda
- Grarup, Niels
- Guo, Michael H.
- Greinacher, Andreas
- Hansen, Torben
- Howson, Joanna M.M.
- Huang, Qin Qin
- Huang, Wei
- Jorgenson, Eric
- Kacprowski, Tim
- Kähönen, Mika
- Kanai, Masahiro
- Karthikeyan, Savita
- Lehtimäki, Terho
- Lerch, Markus M.
- Linneberg, Allan
- Liu, Yongmei
- Lyytikäinen, Leo-Pekka
- Manichaikul, Ani
- Martin, Hilary C.
- Matsuda, Koichi
- Mohlke, Karen L.
- Mononen, Nina
- Nadkarni, Girish N.
- Nauck, Matthias
- Nikus, Kjell
- Ouwehand, Willem H.
- Pankratz, Nathan
- Pedersen, Oluf
- Preuss, Michael
- Psaty, Bruce M.
- Raitakari, Olli T.
- Roberts, David J.
- Rich, Stephen S.
- Rodriguez, Benjamin A.T.
- Rosen, Jonathan D.
- Rotter, Jerome I.
- Schubert, Petra
- Spracklen, Cassandra N.
- Surendran, Praveen
- Tang, Hua
- Tardif, Jean-Claude
- Trembath, Richard C.
- Ghanbari, Mohsen
- Völker, Uwe
- Völzke, Henry
- Zonderman, Alan B.
- Wilson, Peter W.F.
- Li, Yun
- Butterworth, Adam S.
- Chiang, Charleston W.K.
- Li, Bingshan
- Loos, Ruth J.F.
- Astle, William J.
- Sankaran, Vijay G.
- Okada, Yukinori
- Soranzo, Nicole
- Johnson, Andrew D.
- Auer, Paul L.
- Lettre, Guillaume
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2020-09
- Volume
- 182
- Issue
- 5
- Pages
- 1198-1213.e14
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC7480402
- OpenAlex
- W3082575318
- Cited by
- 661
- References
- 85
- Citations by year
- 2026: 75 · 2025: 142 · 2024: 146 · 2023: 108 · 2022: 98 · 2021: 82 · 2020: 9
- FWCI
- 10.90
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, other-oa)
- PubMed (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion)
- Bristol Research (University of Bristol) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (acceptedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- Research Portal (King's College London) (submittedVersion)
- publish.UP (University of Potsdam) (submittedVersion)
- Queen Mary Research Online (Queen Mary University of London) (submittedVersion, cc-by-nc-nd)
- Funders
- Canadian Institutes of Health Research
- National Institutes of Health
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Keywords
- hematological traits, lymphocyte count, IL-7, fine mapping, natural selection, genetic architecture, South Asians, non-European populations
- MeSH terms
- Genetics, Humans, Phenotype, Interleukin-7, Mutation, Missense, Polymorphism, Single Nucleotide, White People, Asian People, Genome-Wide Association Study, HEK293 Cells
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review