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
Variance component model to account for sample structure in genome-wide association studies
Kang, H. M., Sul, J. H., Service, S. K., Zaitlen, N. A., Kong, S.-Y., Freimer, N. B., Sabatti, C., & Eskin, E. (2010) · Nature Genetics · doi:10.1038/ng.548 · Cited by 2,817
Unraveling the polygenic architecture of complex traits using blood eQTL metaanalysis
Võsa, U., Claringbould, A., Westra, H.-J., Bonder, M. J., Deelen, P., Zeng, B., Kirsten, H., Saha, A., Kreuzhuber, R., Kasela, S., et al. (2018) · doi:10.1101/447367 · Cited by 2,607
Self-citationVõsa, U., Claringbould, A., Westra, H.-J., Bonder, M. J., Deelen, P., Zeng, B., Kirsten, H., Saha, A., Kreuzhuber, R., Yazar, S., et al. (2021) · Nature Genetics · doi:10.1038/s41588-021-00913-z · Cited by 2,607
Liu, J. Z., van Sommeren, S., Huang, H., Ng, S. C., Alberts, R., Takahashi, A., Ripke, S., Lee, J. C., Jostins, L., Shah, T., et al. (2015) · Nature Genetics · doi:10.1038/ng.3359 · Cited by 2,603
Genomics is failing on diversity
Popejoy, A. B., & Fullerton, S. M. (2016) · Nature · doi:10.1038/538161a · Cited by 1,924
Mahajan, A., Taliun, D., Thurner, M., Robertson, N. R., Torres, J. M., Rayner, N. W., Payne, A. J., Steinthorsdottir, V., Scott, R. A., Grarup, N., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0241-6 · Cited by 1,744
Sequencing of 50 Human Exomes Reveals Adaptation to High Altitude
Yi, X., Liang, Y., Huerta-Sanchez, E., Jin, X., Cuo, Z. X. P., Pool, J. E., Xu, X., Jiang, H., Vinckenbosch, N., Korneliussen, T. S., et al. (2010) · Science · doi:10.1126/science.1190371 · Cited by 1,611
Zhou, W., Nielsen, J. B., Fritsche, L. G., Dey, R., Gabrielsen, M. E., Wolford, B. N., LeFaive, J., VandeHaar, P., Gagliano, S. A., Gifford, A., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0184-y · Cited by 1,544
Improved whole-chromosome phasing for disease and population genetic studies
Delaneau, O., Zagury, J., & Marchini, J. (2012) · Nature Methods · doi:10.1038/nmeth.2307 · Cited by 1,351
The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease
Astle, W. J., Elding, H., Jiang, T., Allen, D., Ruklisa, D., Mann, A. L., Mead, D., Bouman, H., Riveros-Mckay, F., Kostadima, M. A., et al. (2016) · Cell · doi:10.1016/j.cell.2016.10.042 · Cited by 1,224
PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene–disease associations
Denny, J. C., Ritchie, M. D., Basford, M. A., Pulley, J. M., Bastarache, L., Brown-Gentry, K., Wang, D., Masys, D. R., Roden, D. M., & Crawford, D. C. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq126 · Cited by 1,219
Variants in ELL2 influencing immunoglobulin levels associate with multiple myeloma
Swaminathan, B., Þorleifsson, G., Jöud, M., Ali, M., Johnsson, E., Ajore, R., Sulem, P., Halvarsson, B.-M., Eyjolfsson, G. I., Haraldsdóttir, V., et al. (2015) · Nature Communications · doi:10.1038/ncomms8213 · Cited by 1,213
Corces, M. R., Buenrostro, J. D., Wu, B., Greenside, P. G., Chan, S. M., Koenig, J. L., Snyder, M. P., Pritchard, J. K., Kundaje, A., Greenleaf, W. J., et al. (2016) · Nature Genetics · doi:10.1038/ng.3646 · Cited by 1,151
Million Veteran Program: A mega-biobank to study genetic influences on health and disease
Gaziano, J. M., Concato, J., Brophy, M., Fiore, L., Pyarajan, S., Breeling, J., Whitbourne, S., Deen, J., Shannon, C., Humphries, D., et al. (2016) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2015.09.016 · Cited by 1,055
Mean platelet volume as a predictor of cardiovascular risk: a systematic review and meta‐analysis
CHU, S. G., Becker, R. C., Berger, P. B., Bhatt, D. L., Eikelboom, J. W., Konkle, B. A., Mohler, E. R., Reilly, M. P., & Berger, J. S. (2009) · Journal of Thrombosis and Haemostasis · doi:10.1111/j.1538-7836.2009.03584.x · Cited by 1,055
Genetic analyses of diverse populations improves discovery for complex traits
Wojcik, G. L., Graff, M., Nishimura, K. K., Tao, R., Haessler, J., Gignoux, C. R., Highland, H. M., Patel, Y. M., Sorokin, E. P., Avery, C. L., et al. (2019) · Nature · doi:10.1038/s41586-019-1310-4 · Cited by 1,033
Self-citationDevelopment of a Large-Scale De-Identified DNA Biobank to Enable Personalized Medicine
Roden, D. M., Pulley, J. M., Basford, M., Bernard, G. R., Clayton, E. W., Balser, J., & Masys, D. R. (2008) · Clinical Pharmacology & Therapeutics · doi:10.1038/clpt.2008.89 · Cited by 966
Leveraging Polygenic Functional Enrichment to Improve GWAS Power
Kichaev, G., Bhatia, G., Loh, P.-R., Gazal, S., Burch, K., Freund, M. K., Schoech, A., Pasaniuc, B., & Price, A. L. (2019) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2018.11.008 · Cited by 926
Kanai, M., Akiyama, M., Takahashi, A., Matoba, N., Momozawa, Y., Ikeda, M., Iwata, N., Ikegawa, S., Hirata, M., Matsuda, K., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0047-6 · Cited by 801
Self-citationMixed-model association for biobank-scale datasets
Loh, P.-R., Kichaev, G., Gazal, S., Schoech, A. P., & Price, A. L. (2018) · Nature Genetics · doi:10.1038/s41588-018-0144-6 · Cited by 758
Overview of the BioBank Japan Project: Study design and profile
Nagai, A., Hirata, M., Kamatani, Y., Muto, K., Matsuda, K., Kiyohara, Y., Ninomiya, T., Tamakoshi, A., Yamagata, Z., Mushiroda, T., et al. (2017) · Journal of Epidemiology · doi:10.1016/j.je.2016.12.005 · Cited by 739
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-citationComparative genetic architectures of schizophrenia in East Asian and European populations
Schizophrenia Working Group of the Psychiatric Genomics Consortium, Lam, M., Indonesia Schizophrenia Consortium, Genetic REsearch on schizophreniA neTwork-China and the Netherlands (GREAT-CN), Chen, C.-Y., Li, Z., Martin, A. R., Bryois, J., Ma, X., Gaspar, H., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0512-x · Cited by 655
Self-citationAn atlas of genetic associations in UK Biobank
Canela‐Xandri, O., Rawlik, K., & Tenesa, A. (2018) · Nature Genetics · doi:10.1038/s41588-018-0248-z · Cited by 647
Genetics of blood lipids among ∼300,000 multi-ethnic participants of the Million Veteran Program
Global Lipids Genetics Consortium, Klarin, D., Myocardial Infarction Genetics (MIGen) Consortium, The Geisinger-Regeneron DiscovEHR Collaboration, Program, T. V. M. V., Damrauer, S. M., Cho, K., Sun, Y. V., Teslovich, T. M., Honerlaw, J., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0222-9 · Cited by 625
Rare and low-frequency coding variants alter human adult height
Marouli, E., Graff, M., Medina-Gomez, C., Lo, K. S., Wood, A. R., Kjaer, T. R., Fine, R. S., Lu, Y., Schurmann, C., Highland, H. M., et al. (2017) · Nature · doi:10.1038/nature21039 · Cited by 610
Self-citationGWAMA: software for genome-wide association meta-analysis
Mägi, R., & Morris, A. P. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-288 · Cited by 600
A Bayesian measure of the probability of false discovery in genetic epidemiology studies.
Wakefield, J. (2007) · American Journal of Human Genetics · doi:10.1086/519024 · Cited by 518
Quality control and conduct of genome-wide association meta-analyses
Winkler, T. W., Day, F. R., Croteau‐Chonka, D. C., Wood, A. R., Locke, A. E., Mägi, R., Ferreira, T., Fall, T., Graff, M., Justice, A. E., et al. (2014) · Nature Protocols · doi:10.1038/nprot.2014.071 · Cited by 517
Bayesian refinement of association signals for 14 loci in 3 common diseases
Maller, J., McVean, G., Byrnes, J., Vukcevic, D., Palin, K., Su, Z., Howson, J. M. M., Auton, A., Myers, S., Morris, A. P., et al. (2012) · Nature Genetics · doi:10.1038/ng.2435 · Cited by 473
Patterns of Cis Regulatory Variation in Diverse Human Populations
Stranger, B. E., Montgomery, S. B., Dimas, A. S., Parts, L., Stegle, O., Ingle, C. E., Sekowska, M., Smith, G. D., Evans, D., Gutierrez-Arcelus, M., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002639 · Cited by 470
R PheWAS: data analysis and plotting tools for phenome-wide association studies in the R environment
Carroll, R. J., Bastarache, L. A., & Denny, J. C. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu197 · Cited by 435
A genetic mechanism for Tibetan high-altitude adaptation
Lorenzo, F., Huff, C. D., Myllymäki, M., Olenchock, B. A., Swierczek, S. I., Tashi, T., Gordeuk, V. R., Wuren, T., Ge, R., McClain, D. A., et al. (2014) · Nature Genetics · doi:10.1038/ng.3067 · Cited by 429
Reich, D., Nalls, M. A., Kao, W. H. L., Akylbekova, E. L., Tandon, A., Patterson, N., Mullikin, J., Hsueh, W.-C., Cheng, C.-Y., Coresh, J., et al. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000360 · Cited by 423
Bayes factors for genome‐wide association studies: comparison with P ‐values
Wakefield, J. (2008) · Genetic Epidemiology · doi:10.1002/gepi.20359 · Cited by 404
Byrnes, J. R., & Wolberg, A. S. (2017) · Blood · doi:10.1182/blood-2017-03-745349 · Cited by 346
Fast and accurate long-range phasing in a UK Biobank cohort
Loh, P.-R., Palamara, P. F., & Price, A. L. (2016) · Nature Genetics · doi:10.1038/ng.3571 · Cited by 342
Transethnic Genetic-Correlation Estimates from Summary Statistics
Brown, B. C., Ye, C. J., Price, A. L., & Zaitlen, N. (2016) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2016.05.001 · Cited by 340
Beutler, E., & West, C. (2005) · Blood · doi:10.1182/blood-2005-02-0713 · Cited by 315
Multiethnic polygenic risk scores improve risk prediction in diverse populations
Márquez‐Luna, C., Loh, P., & Price, A. L. (2017) · Genetic Epidemiology · doi:10.1002/gepi.22083 · Cited by 288
Mägi, R., Horikoshi, M., Sofer, T., Mahajan, A., Kitajima, H., Franceschini, N., McCarthy, M. I., & Morris, A. P. (2017) · Human Molecular Genetics · doi:10.1093/hmg/ddx280 · Cited by 283
Harmonizing Genetic Ancestry and Self-identified Race/Ethnicity in Genome-wide Association Studies
Fang, H., Hui, Q., Lynch, J. A., Honerlaw, J. P., Assimes, T. L., Huang, J., Vujković, M., Damrauer, S. M., Pyarajan, S., Gaziano, J. M., et al. (2019) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2019.08.012 · Cited by 226
Li, Y. R., & Keating, B. J. (2014) · Genome Medicine · doi:10.1186/s13073-014-0091-5 · Cited by 214
Interrogation of human hematopoiesis at single-cell and single-variant resolution
Ulirsch, J. C., Lareau, C. A., Bao, E. L., Ludwig, L. S., Guo, M. H., Benner, C., Satpathy, A. T., Kartha, V. K., Salem, R. M., Hirschhorn, J. N., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0362-6 · Cited by 208
Self-citationZhernakova, A., Elbers, C. C., Ferwerda, B., Romanos, J., Trynka, G., Dubois, P. C., de Kovel, C. G. F., Franke, L., Oosting, M., Barisani, D., et al. (2010) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.05.004 · Cited by 195
Xiang, K., Ouzhuluobu, Peng, Y., Yang, Z., Zhang, X., Cui, C., Zhang, H., Li, M., Zhang, Y., Bianba, et al. (2013) · Molecular Biology and Evolution · doi:10.1093/molbev/mst090 · Cited by 179
The clinical imperative for inclusivity: Race, ethnicity, and ancestry (REA) in genomics
Popejoy, A. B., Ritter, D., Crooks, K., Currey, E., Fullerton, S. M., Hindorff, L. A., Koenig, B. A., Ramos, E. M., Sorokin, E. P., Wand, H., et al. (2018) · Human Mutation · doi:10.1002/humu.23644 · Cited by 174
SNPsnap: a Web-based tool for identification and annotation of matched SNPs
Pers, T. H., Timshel, P. N., & Hirschhorn, J. N. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu655 · Cited by 171
Genetic and environmental causes of variation in basal levels of blood cells
Evans, D. M., Frazer, I. H., & Martin, N. G. (1999) · Twin Research · doi:10.1375/136905299320565735 · Cited by 169
Genetic and environmental causes of variation in basal levels of blood cells
Evans, D. M., Frazer, I. H., & Martin, N. G. (1999) · Twin Research · doi:10.1375/twin.2.4.250 · Cited by 157
Auer, P. L., Teumer, A., Schick, U. M., O'Shaughnessy, A., Lo, K. S., Chami, N., Carlson, C., de Denus, S., Dubé, M., Haessler, J., et al. (2014) · Nature Genetics · doi:10.1038/ng.2962 · Cited by 141
The role of IL-7 in Immunity and Cancer
LIN, J., ZHU, Z., Xiao, H., Wakefield, M. R., Ding, V. A., Bai, Q., & Fang, Y. (2017) · Anticancer Research · doi:10.21873/anticanres.11405 · Cited by 121
Finer, S., Martin, H. C., Khan, A., Hunt, K. A., MacLaughlin, B., Ahmed, Z., Ashcroft, R. E., Durham, C., MacArthur, D. G., McCarthy, M. I., et al. (2019) · International Journal of Epidemiology · doi:10.1093/ije/dyz174 · Cited by 119
Phasing of Many Thousands of Genotyped Samples
Williams, A. L., Patterson, N. J., Glessner, J., Hakonarson, H. H., & Reich, D. (2012) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2012.06.013 · Cited by 110
Common Risk Alleles for Inflammatory Diseases Are Targets of Recent Positive Selection
Raj, T., Kuchroo, M. R., Replogle, J. M., Raychaudhuri, S., Stranger, B. E., & Jager, P. L. D. (2013) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.03.001 · Cited by 110
Justice, A. E., Karaderi, T., Highland, H. M., Young, K. L., Graff, M., Lu, Y., Turcot, V., Auer, P. L., Fine, R. S., Guo, X., et al. (2019) · Nature Genetics · doi:10.1038/s41588-018-0334-2 · Cited by 101
EVOLUTION OF GENETIC ARCHITECTURE UNDER DIRECTIONAL SELECTION
Hansen, T. F., Álvarez-Castro, J. M., Carter, A. J. R., Hermisson, J., & Wagner, G. P. (2006) · Evolution · doi:10.1111/j.0014-3820.2006.tb00498.x · Cited by 96
Platelet-Related Variants Identified by Exomechip Meta-analysis in 157,293 Individuals
Eicher, J. D., Chami, N., Kacprowski, T., Nomura, A., Chen, M., Yanek, L. R., Tajuddin, S. M., Schick, U. M., Slater, A. J., Pankratz, N., et al. (2016) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2016.05.005 · Cited by 96
Generalizing polygenic risk scores from Europeans to Hispanics/Latinos
Grinde, K. E., Qi, Q., Thornton, T. A., Liu, S., Shadyab, A. H., Chan, K. H. K., Reiner, A. P., & Sofer, T. (2018) · Genetic Epidemiology · doi:10.1002/gepi.22166 · Cited by 96
Lo, K. S., Wilson, J. G., Lange, L. A., Folsom, A. R., Galarneau, G., Ganesh, S. K., Grant, S. F. A., Keating, B. J., McCarroll, S. A., Mohler, E. R., et al. (2010) · Human Genetics · doi:10.1007/s00439-010-0925-1 · Cited by 90
Schick, U. M., Jain, D., Hodonsky, C. J., Morrison, J., Davis, J. P., Brown, L., Sofer, T., Conomos, M. P., Schurmann, C., McHugh, C., et al. (2016) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2015.12.003 · Cited by 87
Patterns of shared signatures of recent positive selection across human populations
Johnson, K. E., & Voight, B. F. (2018) · Nature Ecology & Evolution · doi:10.1038/s41559-018-0478-6 · Cited by 80
Exome Genotyping Identifies Pleiotropic Variants Associated with Red Blood Cell Traits
Chami, N., Chen, M., Slater, A. J., Eicher, J. D., Εvangelou, Ε., Tajuddin, S. M., Love-Gregory, L. D., Kacprowski, T., Schick, U. M., Nomura, A., et al. (2016) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2016.05.007 · Cited by 77
Interleukin 6 is a differentiation factor for human megakaryocytes in vitro
Kimura, H., Ishibashi, T., Uchida, T., Maruyama, Y., Friese, P., & Burstein, S. A. (1990) · European Journal of Immunology · doi:10.1002/eji.1830200909 · Cited by 72
Raffield, L. M., Ulirsch, J. C., Naik, R. P. P., Lessard, S., Handsaker, R. E., Jain, D., Kang, H. M., Pankratz, N., Auer, P. L., Bao, E. L., et al. (2018) · PLoS Genetics · doi:10.1371/journal.pgen.1007293 · Cited by 65
Multi-ethnic polygenic risk scores improve risk prediction in diverse populationsPreprint
Márquez‐Luna, C., Loh, P., & Price, A. L. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/051458 · Cited by 59
Tajuddin, S. M., Schick, U. M., Eicher, J. D., Chami, N., Giri, A., Brody, J. A., Hill, W. D., Kacprowski, T., Li, J., Lyytikäinen, L., et al. (2016) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2016.05.003 · Cited by 56
The Duffy antigen receptor for chemokines, ACKR 1,– ‘Jeanne DARC ’ of benign neutropenia
Rappoport, N., Simon, A. J., Amariglio, N., & Rechavi, G. (2018) · British Journal of Haematology · doi:10.1111/bjh.15730 · Cited by 55
Guo, M. H., Nandakumar, S. K., Ulirsch, J. C., Zekavat, S. M., Buenrostro, J. D., Natarajan, P., Salem, R. M., Chiarle, R., Mitt, M., Kals, M., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1619052114 · Cited by 54
Collaborators, A., van Dongen, J., Jansen, R., Smit, D. J. A., Hottenga, J., Mbarek, H., Willemsen, G. A. H. M., Kluft, C., Penninx, B. W. J. H., Ferreira, M. A. R., et al. (2014) · Behavior Genetics · doi:10.1007/s10519-014-9656-8 · Cited by 45
Rare coding variants pinpoint genes that control human hematological traits
Mousas, A., Ntritsos, G., Chen, M., Song, C., Huffman, J. E., Tzoulaki, I., Elliott, P., Psaty, B. M., Auer, P. L., Johnson, A. D., et al. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1006925 · Cited by 44
Chen, X., Wang, H., Zhou, G., Zhang, X., Dong, X., Zhi, L., Li, J., & He, F. (2009) · Environmental Health Perspectives · doi:10.1289/ehp.0800528 · Cited by 43
Ding, K., de Andrade, M., Manolio, T. A., Crawford, D. C., Rasmussen‐Torvik, L. J., Ritchie, M. D., Denny, J. C., Masys, D. R., Jouni, H., Pacheco, J. A., et al. (2013) · G3 Genes Genomes Genetics · doi:10.1534/g3.113.006452 · Cited by 43
Red cell adhesion in human diseases
Colin, Y., Kim, C. L. V., & Nemer, W. E. (2014) · Current Opinion in Hematology · doi:10.1097/moh.0000000000000036 · Cited by 41
Rana, S. R., Sekhsaria, S., & Castro, O. L. (1993) · PEDIATRICS · doi:10.1542/peds.91.4.800 · Cited by 17
Hinckley, J. D., Abbott, D., Burns, T. L., Heiman, M., Shapiro, A. D., Wang, K., & Paola, J. D. (2013) · Molecular Genetics & Genomic Medicine · doi:10.1002/mgg3.16 · Cited by 10
Prostaglandin D 2 receptor antagonism: a novel therapeutic option for eosinophilic asthma?
Brusselle, G., Provoost, S., & Maes, T. (2016) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(16)30201-6 · Cited by 7
Rare and low-frequency coding variants alter human adult height
Tybjaerg-Hansen, A., Helgeland, Ø., Þorsteinsdóttir, U., Boeing, H., Balkau, B., Nauck, M., Liu, D. J., Lange, L. A., Oksa, H., Meidtner, K., et al. (2017) · Apollo (University of Cambridge) · doi:10.17615/xzar-z180 · Cited by 1
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
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