The DOI matches its Crossref record; 64 of the 65 references it cites were found in a registry or an index.
Large-scale genome-wide association study in a Japanese population identifies novel susceptibility loci across different diseases
Open accessPublished version of a preprint
Abstract
The overwhelming majority of participants in current genetic studies are of European ancestry. To elucidate disease biology in the East Asian population, we conducted a genome-wide association study (GWAS) with 212,453 Japanese individuals across 42 diseases. We detected 320 independent signals in 276 loci for 27 diseases, with 25 novel loci (P < 9.58 × 10-9). East Asian-specific missense variants were identified as candidate causal variants for three novel loci, and we successfully replicated two of them by analyzing independent Japanese cohorts; p.R220W of ATG16L2 (associated with coronary artery disease) and p.V326A of POT1 (associated with lung cancer). We further investigated enrichment of heritability within 2,868 annotations of genome-wide transcription factor occupancy, and identified 378 significant enrichments across nine diseases (false discovery rate < 0.05) (for example, NKX3-1 for prostate cancer). This large-scale GWAS in a Japanese population provides insights into the etiology of complex diseases and highlights the importance of performing GWAS in non-European populations.
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 source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“BBJ is a registry of over 200,000 Japanese patients including information about 47 diseases and 59 quantitative traits (Supplemental Table 1) [29, 30].”
From Denisovan and Neanderthal archaic introgression differentially impacted the genetics of complex traits in modern populations (2022) · cites this paper as [30]
Experimental — accuracy not yet measured
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
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 · doi:10.1038/nature15393 · Cited by 18,247
ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data
Wang, K., Li, M., & Hakonarson, H. H. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq603 · Cited by 14,724
Second-generation PLINK: rising to the challenge of larger and richer datasets
Chang, C. C., Chow, C. C., Tellier, L. C., Vattikuti, S., Purcell, S. M., & Lee, J. J. (2015) · Gigascience · doi:10.1186/s13742-015-0047-8 · Cited by 12,709
UMAP: Uniform Manifold Approximation and Projection
McInnes, L., Healy, J., Saul, N., & Großberger, L. (2018) · Journal of Open Source Software · doi:10.21105/joss.00861 · Cited by 9,826
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
Giambartolomei, C., Vukcevic, D., Schadt, E. E., Franke, L., Hingorani, A. D., Wallace, C., & Plagnol, V. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004383 · Cited by 4,261
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
Genetic effects on gene expression across human tissues
GTEx Consortium (2017) · Nature · doi:10.1038/nature24277 · Cited by 4,036
Systematic Localization of Common Disease-Associated Variation in Regulatory DNA
Maurano, M. T., Humbert, R., Rynes, E., Thurman, R. E., Haugen, E., Wang, H., Reynolds, A. P., Sandstrom, R., Qu, H., Brody, J., et al. (2012) · Science · doi:10.1126/science.1222794 · Cited by 3,716
CADD: predicting the deleteriousness of variants throughout the human genome
Rentzsch, P., Witten, D., Cooper, G. M., Shendure, J., & Kircher, M. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1016 · Cited by 3,534
Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets
Zhu, Z., Zhang, F., Hu, H., Bakshi, A., Robinson, M. R., Powell, J. E., Montgomery, G. W., Goddard, M. E., Wray, N. R., Visscher, P. M., et al. (2016) · Nature Genetics · doi:10.1038/ng.3538 · Cited by 3,352
Integrating common and rare genetic variation in diverse human populations
The International HapMap 3 Consortium (2010) · Nature · doi:10.1038/nature09298 · Cited by 3,026
Khera, A. V., Chaffin, M., Aragam, K. G., Haas, M. E., Roselli, C., Choi, S. H., Natarajan, P., Lander, E. S., Lubitz, S. A., Ellinor, P. T., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0183-z · Cited by 2,953
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
Self-citationLocusZoom: regional visualization of genome-wide association scan results
Pruim, R. J., Welch, R. P., Sanna, S., Teslovich, T. M., Chines, P. S., Gliedt, T. P., Boehnke, M., Abecasis, G. R., & Willer, C. J. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq419 · Cited by 2,707
Partitioning heritability by functional annotation using genome-wide association summary statistics
ReproGen Consortium, Finucane, H. K., Schizophrenia Working Group of the Psychiatric Genomics Consortium, The RACI Consortium, Bulik-Sullivan, B., Gusev, A., Trynka, G., Reshef, Y., Loh, P.-R., Anttila, V., et al. (2015) · Nature Genetics · doi:10.1038/ng.3404 · Cited by 2,604
Self-citationPredicting Deleterious Amino Acid Substitutions
Ng, P. C., & Henikoff, S. (2001) · Genome Research · doi:10.1101/gr.176601 · Cited by 2,368
Genomics is failing on diversity
Popejoy, A. B., & Fullerton, S. M. (2016) · Nature · doi:10.1038/538161a · Cited by 1,924
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
The Missing Diversity in Human Genetic Studies
Sirugo, G., Williams, S. M., & Tishkoff, S. A. (2019) · Cell · doi:10.1016/j.cell.2019.02.048 · Cited by 1,516
Pevny, L., Simon, M. C., Robertson, E., Klein, W. H., Tsai, S.-F., D'Agati, V., Orkin, S. H., & Costantini, F. (1991) · Nature · doi:10.1038/349257a0 · Cited by 1,308
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 · doi:10.1016/j.ajhg.2015.09.001 · Cited by 1,303
van der Harst, P., & Verweij, N. (2018) · Circulation Research · doi:10.1161/circresaha.117.312086 · Cited by 1,141
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
Prokunina‐Olsson, L., Muchmore, B., Tang, W., Pfeiffer, R. M., Park, H., Dickensheets, H. L., Hergott, D., Porter-Gill, P. A., Mumy, A., Kohaar, I., et al. (2013) · Nature Genetics · doi:10.1038/ng.2521 · Cited by 929
Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci
Study, T. P., Schumacher, F. R., (APCB), A. P. C. B., Study, T. I., Canary PASS Investigators, Breast and Prostate Cancer Cohort Consortium (BPC3), The PRACTICAL (Prostate Cancer Association Group to Investigate Cancer-Associated Alterations in the Genome) Consortium, (CAPS), C. O. T. P. I. S., Prostate Cancer Genome-wide Association Study of Uncommon Susceptibility Loci (PEGASUS), The Genetic Associations and Mechanisms in Oncology (GAME-ON)/Elucidating Loci Involved in Prostate Cancer Susceptibility (ELLIPSE) Consortium, et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0142-8 · Cited by 902
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-citationOverview 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
Self-citationMaturation of the gut microbiome and risk of asthma in childhood
Stokholm, J., Blaser, M. J., Thorsen, J., Rasmussen, M. A., Waage, J., Vinding, R. K., Schoos, A.-M. M., Kunøe, A., Fink, N. R., Chawes, B. L., et al. (2018) · Nature Communications · doi:10.1038/s41467-017-02573-2 · Cited by 614
Natarajan, P., Young, R., Stitziel, N. O., Padmanabhan, S., Baber, U., Mehran, R., Sartori, S., Fuster, V., Reilly, D. F., Butterworth, A., et al. (2017) · Circulation · doi:10.1161/circulationaha.116.024436 · Cited by 570
Gazal, S., Finucane, H. K., Furlotte, N. A., Loh, P.-R., Palamara, P. F., Liu, X., Schoech, A., Bulik-Sullivan, B., Neale, B. M., Gusev, A., et al. (2017) · Nature Genetics · doi:10.1038/ng.3954 · Cited by 525
Self-citationGlobal regulation of erythroid gene expression by transcription factor GATA-1
Welch, J. J. (2004) · Blood · doi:10.1182/blood-2004-04-1603 · Cited by 427
A common Greenlandic TBC1D4 variant confers muscle insulin resistance and type 2 diabetes
Moltke, I., Grarup, N., Jørgensen, M. E., Bjerregaard, P., Treebak, J. T., Fumagalli, M., Korneliussen, T. S., Andersen, M. A., Nielsen, T. S., Krarup, N. T., et al. (2014) · Nature · doi:10.1038/nature13425 · Cited by 418
Gaulton, K. J., Ferreira, T. C., Lee, Y., Raimondo, A., Mägi, R., Reschen, M. E., Mahajan, A., Locke, A. E., Rayner, N. W., Robertson, N., et al. (2015) · Nature Genetics · doi:10.1038/ng.3437 · Cited by 399
POT1 loss-of-function variants predispose to familial melanoma
Robles-Espinoza, C. D., Harland, M., Ramsay, A. J., Aoude, L. G., Quesada, V., Ding, Z., Pooley, K. A., Pritchard, A. L., Tiffen, J. C., Petljak, M., et al. (2014) · Nature Genetics · doi:10.1038/ng.2947 · Cited by 391
The Genetics of Transcription Factor DNA Binding Variation
Deplancke, B., Alpern, D., & Gardeux, V. (2016) · Cell · doi:10.1016/j.cell.2016.07.012 · Cited by 390
Loss of NKX3.1 expression in human prostate cancers correlates with tumor progression.
Bowen, C., Bubendorf, L., Voeller, H. J., Slack, R., Willi, N., Sauter, G., Gasser, T. C., Koivisto, P., Lack, E. E., Kononen, J., et al. (2000) · PubMed · Cited by 377
Maas, P., Barrdahl, M., Joshi, A. D., Auer, P. L., Gaudet, M. M., Milne, R. L., Schumacher, F. R., Anderson, W. F., Check, D., Chattopadhyay, S., et al. (2016) · JAMA Oncology · doi:10.1001/jamaoncol.2016.1025 · Cited by 373
The Tohoku Medical Megabank Project: Design and Mission
Kuriyama, S., Yaegashi, N., Nagami, F., Arai, T., Kawaguchi, Y., Osumi, N., Sakaida, M., Suzuki, Y., Nakayama, K., Hashizume, H., et al. (2016) · Journal of Epidemiology · doi:10.2188/jea.je20150268 · Cited by 356
Self-citationA Regulatory SNP Causes a Human Genetic Disease by Creating a New Transcriptional Promoter
Gobbi, M. D., Viprakasit, V., Hughes, J. R., Fisher, C. A., Buckle, V. J., Ayyub, H., Gibbons, R. J., Vernimmen, D., Yoshinaga, Y., de Jong, P., et al. (2006) · Science · doi:10.1126/science.1126431 · Cited by 277
The Role of the Microbiome in Asthma: The Gut–Lung Axis
Frati, F., Salvatori, C., Incorvaia, C., Bellucci, A., Cara, G. D., Marcucci, F., & Esposito, S. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms20010123 · Cited by 274
Kullo, I. J., Jouni, H., Austin, E. E., Brown, S.-A., Kruisselbrink, T. M., Isseh, I. N., Haddad, R. A., Marroush, T. S., Shameer, K., Olson, J. E., et al. (2016) · Circulation · doi:10.1161/circulationaha.115.020109 · Cited by 267
Association of a Low-Frequency Variant in HNF1A With Type 2 Diabetes in a Latino Population
Estrada, K., Aukrust, I., Bjørkhaug, L., Burtt, N. P., Mercader, J. M., García-Ortiz, H., Huerta-Chagoya, A., Moreno-Macías, H., Walford, G., Flannick, J., et al. (2014) · JAMA · doi:10.1001/jama.2014.6511 · Cited by 259
Visualizing genomic information across chromosomes with PhenoGram
Wolfe, D., DUDEK, S. M., Ritchie, M. D., & Pendergrass, S. A. (2013) · BioData Mining · doi:10.1186/1756-0381-6-18 · Cited by 252
PH Domain-Only Protein PHLDA3 Is a p53-Regulated Repressor of Akt
Kawase, T., Ohki, R., Shibata, T., Tsutsumi, S., Kamimura, N., Inazawa, J., Ohta, T., Ichikawa, H., Aburatani, H., Tashiro, F., et al. (2009) · Cell · doi:10.1016/j.cell.2008.12.002 · Cited by 244
Self-citationGermline Mutations in Shelterin Complex Genes Are Associated With Familial Glioma
Bainbridge, M. N., Armstrong, G., Gramatges, M. M., Bertuch, A. A., Jhangiani, S. N., Doddapaneni, H., Lewis, L. R., Tombrello, J., Tsavachidis, S., Liu, Y., et al. (2014) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/dju384 · Cited by 227
Morales, J., Welter, D., Bowler, E. H., Cerezo, M., Harris, L. W., McMahon, A. C., Hall, P., Junkins, H. A., Milano, A., Hastings, E., et al. (2018) · Genome Biology · doi:10.1186/s13059-018-1396-2 · Cited by 217
Okada, Y., Momozawa, Y., Sakaue, S., Kanai, M., Ishigaki, K., Akiyama, M., Kishikawa, T., Arai, Y., Sasaki, T., Kosaki, K., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-03274-0 · Cited by 182
Self-citationFoxa2 regulates multiple pathways of insulin secretion
Lantz, K. A., Vatamaniuk, M. Z., Brestelli, J. E., Friedman, J. R., Matschinsky, F. M., & Kaestner, K. H. (2004) · Journal of Clinical Investigation · doi:10.1172/jci21149 · Cited by 171
Hirata, M., Kamatani, Y., Nagai, A., Kiyohara, Y., Ninomiya, T., Tamakoshi, A., Yamagata, Z., Kubo, M., Muto, K., Mushiroda, T., et al. (2017) · Journal of Epidemiology · doi:10.1016/j.je.2016.12.003 · Cited by 169
Self-citationPolygenic burdens on cell-specific pathways underlie the risk of rheumatoid arthritis
Ishigaki, K., Kochi, Y., Suzuki, A., Tsuchida, Y., Tsuchiya, H., Sumitomo, S., Yamaguchi, K., Nagafuchi, Y., Nakachi, S., Kato, R., et al. (2017) · Nature Genetics · doi:10.1038/ng.3885 · Cited by 133
Self-citationHirata, J., Hosomichi, K., Sakaue, S., Kanai, M., Nakaoka, H., Ishigaki, K., Ken, S., Akiyama, M., Kishikawa, T., Ogawa, K., et al. (2019) · Nature Genetics · doi:10.1038/s41588-018-0336-0 · Cited by 119
Self-citationGWAS of 165,084 Japanese individuals identified nine loci associated with dietary habits
Matoba, N., Akiyama, M., Ishigaki, K., Kanai, M., Takahashi, A., Momozawa, Y., Ikegawa, S., Ikeda, M., Iwata, N., Hirata, M., et al. (2020) · Nature Human Behaviour · doi:10.1038/s41562-019-0805-1 · Cited by 117
Self-citationReconciling S-LDSC and LDAK functional enrichment estimates
Gazal, S., Márquez‐Luna, C., Finucane, H. K., & Price, A. L. (2019) · Nature Genetics · doi:10.1038/s41588-019-0464-1 · Cited by 101
Self-citationKobayashi, Y., Hirawa, N., Tabara, Y., Muraoka, H., Fujita, M., Miyazaki, N., Fujiwara, A., Ichikawa, Y., Yamamoto, Y., Ichihara, N., et al. (2012) · Hypertension · doi:10.1161/hypertensionaha.110.165068 · Cited by 91
The wide spectrum of POT1 gene variants correlates with multiple cancer types
Calvete, O., García‐Pavía, P., Domínguez, F., Bougeard, G., Kunze, K., Braeuninger, A., Teulé, À., Lasa, A., y Cajal, T. R., Llort, G., et al. (2017) · European Journal of Human Genetics · doi:10.1038/ejhg.2017.134 · Cited by 82
Akt Blockade Downregulates Collagen and Upregulates MMP1 in Human Dermal Fibroblasts
Bujor, A. M., Pannu, J., Bu, S., Smith, E. A., Muise‐Helmericks, R. C., & Trojanowska, M. (2008) · Journal of Investigative Dermatology · doi:10.1038/jid.2008.39 · Cited by 76
Matsuda, M., Sakamoto, N., & Fukumaki, Y. (1992) · Blood · doi:10.1182/blood.v80.5.1347.1347 · Cited by 72
Genetic effects on gene expression across human tissues
Haugen, E., He, Y., Chen, L., Dermitzakis, E. T., Branton, P. A., Nobel, A. B., Park, Y., McLean, J. A., Neri, F. J., Tabor, D. E., et al. (2020) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/p82n-gb73 · Cited by 61
Asanomi, Y., Shigemizu, D., Miyashita, A., Mitsumori, R., Mori, T., Hara, N., Ito, K., Niida, S., Ikeuchi, T., & Ozaki, K. (2019) · Molecular Medicine · doi:10.1186/s10020-019-0090-5 · Cited by 47
Self-citationElhanati, Y., Marcou, Q., Mora, T., & Walczak, A. M. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw112 · Cited by 36
Mizuno, H., Sato, H., Sakata, Y., Ohnishi, Y., Hishida, E., Kinjo, K., Nakatani, D., Shimizu, M., Kondo, H., Tanaka, T., et al. (2005) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2005.06.020 · Cited by 33
Self-citationA functional variant of ATG16L2 is associated with Crohn's disease in the Chinese population
Ma, T., Wu, S., Yan, W., Xie, R., & Zhou, C. (2016) · Colorectal Disease · doi:10.1111/codi.13507 · Cited by 13
(2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0162-y · Cited by 12
Cited by
Sorted by citations
A cross-population atlas of genetic associations for 220 human phenotypes
Sakaue, S., Kanai, M., Tanigawa, Y., Karjalainen, J. M., Kurki, M., Koshiba, S., Narita, A., Konuma, T., Yamamoto, K., Akiyama, M., et al. (2021) · Nature Genetics · doi:10.1038/s41588-021-00931-x · Cited by 2,335
Self-citationMendelian Randomization: Concepts and Scope
Richmond, R. C., & Davey Smith, G. (2022) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a040501 · Cited by 841
Aragam, K. G., Jiang, T., Goel, A., Kanoni, S., Wolford, B. N., Atri, D. S., Weeks, E. M., Wang, M., Hindy, G., Zhou, W., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01233-6 · Cited by 738
Self-citationStroke genetics informs drug discovery and risk prediction across ancestries
Mishra, A., Malik, R., Hachiya, T., Jürgenson, T., Namba, S., Posner, D. C., Kamanu, F., Koido, M., Grand, Q. L., Shi, M., et al. (2022) · Nature · doi:10.1038/s41586-022-05165-3 · Cited by 623
Self-citationLiu, X., Tong, X., Zou, Y., Lin, X., Zhao, H., Tian, L., Jie, Z., Wang, Q., Zhang, Z., Lu, H., et al. (2022) · Nature Genetics · doi:10.1038/s41588-021-00968-y · Cited by 383
Metadata
- Authors
- Ishigaki, K., Akiyama, M., Kanai, M., Takahashi, A., Kawakami, E., Sugishita, H., Sakaue, S., Matoba, N., Low, S.-K., Okada, Y., Terao, C., Amariuta, T., Gazal, S., Kochi, Y., Horikoshi, M., Suzuki, K., Ito, K., Koyama, S., Ozaki, K., Niida, S., Sakata, Y., Sakata, Y., Kohno, T., Shiraishi, K., Momozawa, Y., Hirata, M., Matsuda, K., Ikeda, M., Iwata, N., Ikegawa, S., Kou, I., Tanaka, T., Nakagawa, H., Suzuki, A., Hirota, T., Tamari, M., Chayama, K., Miki, D., Mori, M., Nagayama, S., Daigo, Y., Miki, Y., Katagiri, T., Ogawa, O., Obara, W., Ito, H., Yoshida, T., Imoto, I., Takahashi, T., Tanikawa, C., Suzuki, T., Sinozaki, N., Minami, S., Yamaguchi, H., Asai, S., Takahashi, Y., Yamaji, K., Takahashi, K., Fujioka, T., Takata, R., Yanai, H., Masumoto, A., Koretsune, Y., Kutsumi, H., Higashiyama, M., Murayama, S., Minegishi, N., Suzuki, K., Tanno, K., Shimizu, A., Yamaji, T., Iwasaki, M., Sawada, N., Uemura, H., Tanaka, K., Naito, M., Sasaki, M., Wakai, K., Tsugane, S., Yamamoto, M., Yamamoto, K., Murakami, Y., Nakamura, Y., Raychaudhuri, S., Inazawa, J., Yamauchi, T., Kadowaki, T., Kubo, M., & Kamatani, Y.
- Affiliations
- Broad Institute (US)
- Kyushu University (JP)
- National Cerebral and Cardiovascular Center (JP)
- Chiba University (JP)
- RIKEN Center for Integrative Medical Sciences (JP)
- University of North Carolina at Chapel Hill (US)
- Tokyo Medical and Dental University (JP)
- Medical Genome Center, National Center for Geriatrics and Gerontology (JP)
- Tohoku University (JP)
- National Cancer Center Research Institute (JP)
- Institute of Medical Science, The University of Tokyo (JP)
- The University of Tokyo (JP)
- Fujita Health University (JP)
- Hiroshima University (JP)
- The Cancer Institute Hospital (JP)
- Shiga University of Medical Science (JP)
- Japanese Foundation For Cancer Research (JP)
- Tokushima University (JP)
- Kyoto University (JP)
- Iwate Medical University (JP)
- Aichi Cancer Center (JP)
- Nippon Medical School (JP)
- Nihon University (JP)
- Juntendo University (JP)
- Japan Anti Tuberculosis Association (JP)
- Aso Iizuka Hospital (JP)
- Osaka National Hospital (JP)
- Osaka International Cancer Institute (JP)
- Tokyo Metropolitan Institute of Gerontology (JP)
- National Cancer Centre Japan (JP)
- University of Hyogo (JP)
- Saga University (JP)
- Nagoya University (JP)
- Corresponding author
- Raychaudhuri, Soumya
- Inazawa, Johji
- Yamauchi, Toshimasa
- Kadowaki, Takashi
- Kubo, Michiaki
- Kamatani, Yoichiro
- ORCID
- Ishigaki, Kazuyoshi
- Akiyama, Masato
- Kanai, Masahiro
- Takahashi, Atsushi
- Kawakami, Eiryo
- Sugishita, Hiroki
- Sakaue, Saori
- Matoba, Nana
- Low, Siew-Kee
- Okada, Yukinori
- Terao, Chikashi
- Amariuta, Tiffany
- Gazal, Steven
- Kochi, Yuta
- Horikoshi, Momoko
- Suzuki, Ken
- Ito, Kaoru
- Koyama, Satoshi
- Ozaki, Kouichi
- Niida, Shumpei
- Sakata, Yasushi
- Sakata, Yasuhiko
- Kohno, Takashi
- Shiraishi, Kouya
- Momozawa, Yukihide
- Hirata, Makoto
- Matsuda, Koichi
- Ikeda, Masashi
- Iwata, Nakao
- Ikegawa, Shiro
- Kou, Ikuyo
- Tanaka, Toshihiro
- Nakagawa, Hidewaki
- Suzuki, Akari
- Hirota, Tomomitsu
- Tamari, Mayumi
- Chayama, Kazuaki
- Miki, Daiki
- Mori, Masaki
- Nagayama, Satoshi
- Daigo, Yataro
- Miki, Yoshio
- Katagiri, Toyomasa
- Ogawa, Osamu
- Obara, Wataru
- Ito, Hidemi
- Imoto, Issei
- Takahashi, Takashi
- Suzuki, Takao
- Yamaguchi, Hiroki
- Asai, Satoshi
- Takahashi, Yasuo
- Yamaji, Ken
- Takahashi, Kazuhisa
- Takata, Ryo
- Yanai, Hideki
- Murayama, Shigeo
- Minegishi, Naoko
- Suzuki, Kichiya
- Tanno, Kozo
- Shimizu, Atsushi
- Yamaji, Taiki
- Iwasaki, Motoki
- Sawada, Norie
- Uemura, Hirokazu
- Tanaka, Keitaro
- Naito, Mariko
- Sasaki, Makoto
- Wakai, Kenji
- Tsugane, Shoichiro
- Yamamoto, Masayuki
- Yamamoto, Kazuhiko
- Murakami, Yoshinori
- Nakamura, Yusuke
- Raychaudhuri, Soumya
- Inazawa, Johji
- Yamauchi, Toshimasa
- Kadowaki, Takashi
- Kubo, Michiaki
- Kamatani, Yoichiro
- Venue
- Nature Genetics
- Published
- 2020-06-08
- Volume
- 52
- Issue
- 7
- Pages
- 669-679
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- PMC
- PMC7968075
- OpenAlex
- W3033304694
- Cited by
- 508
- References
- 65
- Citations by year
- 2026: 56 · 2025: 72 · 2024: 120 · 2023: 100 · 2022: 81 · 2021: 63 · 2020: 15
- FWCI
- 38.26
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Nature Genetics (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion)
- Funders
- Japan Agency for Medical Research and Development (JP20dk0207045, JP18kk0205009, JP19ek0210081, JP16ck0106096, JP17km0305001, JP19km0105001, JP19km0105002, JP17km0305002)
- National Cancer Center Research and Development Fund
- 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 › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- disease susceptibility loci, Japanese population, novel genetic loci, missense mutations, ATG16L2, POT1, coronary artery disease, lung cancer, transcription factor occupancy, heritability enrichment, NKX3.1, prostate cancer, complex diseases, non-European populations
- MeSH terms
- Female, Humans, Japan, Male, Sex Factors, Transcription Factors, Genetic Variation, Cohort Studies, Genetic Predisposition to Disease, Inheritance Patterns, Genome-Wide Association Study
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