The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.
Transancestral mapping and genetic load in systemic lupus erythematosus
Open accessAbstract
Systemic lupus erythematosus (SLE) is an autoimmune disease with marked gender and ethnic disparities. We report a large transancestral association study of SLE using Immunochip genotype data from 27,574 individuals of European (EA), African (AA) and Hispanic Amerindian (HA) ancestry. We identify 58 distinct non-HLA regions in EA, 9 in AA and 16 in HA (∼50% of these regions have multiple independent associations); these include 24 novel SLE regions (P<5 × 10−8), refined association signals in established regions, extended associations to additional ancestries, and a disentangled complex HLA multigenic effect. The risk allele count (genetic load) exhibits an accelerating pattern of SLE risk, leading us to posit a cumulative hit hypothesis for autoimmune disease. Comparing results across the three ancestries identifies both ancestry-dependent and ancestry-independent contributions to SLE risk. Our results are consistent with the unique and complex histories of the populations sampled, and collectively help clarify the genetic architecture and ethnic disparities in SLE.
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.
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
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
The neighbor-joining method: a new method for reconstructing phylogenetic trees.
(1987) · Molecular Biology and Evolution · doi:10.1093/oxfordjournals.molbev.a040454 · Cited by 59,715
Fast, scalable generation of high‐quality protein multiple sequence alignments using Clustal Omega
Sievers, F., Wilm, A., Dineen, D., Gibson, T. J., Karplus, K., Li, W., Lopez, R., McWilliam, H., Remmert, M., Söding, J., et al. (2011) · Molecular Systems Biology · doi:10.1038/msb.2011.75 · Cited by 15,355
The 1982 revised criteria for the classification of systemic lupus erythematosus
Tan, E. M., Cohen, A. S., Fries, J. F., Masi, A. T., Mcshane, D. J., Rothfield, N. F., Schaller, J. G., Talal, N., & Winchester, R. J. (1982) · Arthritis & Rheumatism · doi:10.1002/art.1780251101 · Cited by 14,519
Hochberg, M. C. (1997) · Arthritis & Rheumatism · doi:10.1002/art.1780400928 · Cited by 11,409
Principal components analysis corrects for stratification in genome-wide association studies
Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. (2006) · Nature Genetics · doi:10.1038/ng1847 · Cited by 10,248
Fast model-based estimation of ancestry in unrelated individuals
Alexander, D. H., Novembre, J., & Lange, K. (2009) · Genome Research · doi:10.1101/gr.094052.109 · Cited by 9,898
Population Structure and Eigenanalysis
Patterson, N., Price, A. L., & Reich, D. (2006) · PLoS Genetics · doi:10.1371/journal.pgen.0020190 · Cited by 5,280
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
Browning, S. R., & Browning, B. L. (2007) · The American Journal of Human Genetics · doi:10.1086/521987 · Cited by 3,210
Cited by
Buniello, A., MacArthur, J. A. L., Cerezo, M., Harris, L. W., Hayhurst, J., Malangone, C., McMahon, A., Morales, J., Mountjoy, E., Sollis, E., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1120 · Cited by 4,000
Complex genetic signatures in immune cells underlie autoimmunity and inform therapy
Orrù, V., Steri, M., Sidore, C., Marongiu, M., Serra, V., Olla, S., Sole, G., Lai, S., Dei, M., Mulas, A., et al. (2020) · Nature Genetics · doi:10.1038/s41588-020-0684-4 · Cited by 1,246
IL-10 Family Cytokines IL-10 and IL-22: from Basic Science to Clinical Translation
Ouyang, W., & O’Garra, A. (2019) · Immunity · doi:10.1016/j.immuni.2019.03.020 · Cited by 1,072
Mapping the human genetic architecture of COVID-19
Initiative, C.-1. H. G., InitiativeLeadership, C.-1. H. G., Niemi, M. E. K., Karjalainen, J., Liao, R. G., Neale, B. M., Daly, M., Ganna, A., Writing group, Writing group leaders, et al. (2021) · Nature · doi:10.1038/s41586-021-03767-x · Cited by 983
Self-citationSingle-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
- Langefeld, C. D., Ainsworth, H. C., Graham, D. S. C., Kelly, J. A., Comeau, M. E., Marion, M. C., Howard, T. D., Ramos, P. S., Croker, J. A., Morris, D. L., Sandling, J. K., Almlöf, J. C., Acevedo-Vásquez, E. M., Alarcón, G. S., Babini, A. M., Baca, V., Bengtsson, A. A., Berbotto, G. A., Bijl, M., Brown, E. E., Brunner, H. I., Cardiel, M. H., Catoggio, L., Cervera, R., Cucho-Venegas, J. M., Dahlqvist, S. R., D’Alfonso, S., Da Silva, B. M., de la Rúa Figueroa, I., Doria, A., Edberg, J. C., Endreffy, E., Esquivel-Valerio, J. A., Fortin, P. R., Freedman, B. I., Frostegård, J., García, M. A., de la Torre, I. G., Gilkeson, G. S., Gladman, D. D., Gunnarsson, I., Guthridge, J. M., Huggins, J. L., James, J. A., Kallenberg, C. G. M., Kamen, D. L., Karp, D. R., Kaufman, K. M., Kottyan, L. C., Kovács, L., Laustrup, H., Lauwerys, B. R., Li, Q.-Z., Maradiaga-Ceceña, M. A., Martín, J., McCune, J. M., McWilliams, D. R., Merrill, J. T., Miranda, P., Moctezuma, J. F., Nath, S. K., Niewold, T. B., Orozco, L., Ortego-Centeno, N., Petri, M., Pineau, C. A., Pons-Estel, B. A., Pope, J., Raj, P., Ramsey-Goldman, R., Reveille, J. D., Russell, L. P., Sabio, J. M., Aguilar-Salinas, C. A., Scherbarth, H. R., Scorza, R., Seldin, M. F., Sjöwall, C., Svenungsson, E., Thompson, S. D., Toloza, S. M. A., Truedsson, L., Tusié-Luna, T., Vasconcelos, C., Vilá, L. M., Wallace, D. J., Weisman, M. H., Wither, J. E., Bhangale, T., Oksenberg, J. R., Rioux, J. D., Gregersen, P. K., Syvänen, A.-C., Rönnblom, L., Criswell, L. A., Jacob, C. O., Sivils, K. L., Tsao, B. P., Schanberg, L. E., Behrens, T. W., Silverman, E. D., Alarcón-Riquelme, M. E., Kimberly, R. P., Harley, J. B., Wakeland, E. K., Graham, R. R., Gaffney, P. M., & Vyse, T. J.
- Venue
- Nature Communications
- Published
- 2017-07-17
- Volume
- 8
- Issue
- 1
- Pages
- 16021-16021
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2734534935
- Cited by
- 420
- References
- 61
- FWCI
- 28.04
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Transancestral mapping and genetic load in systemic lupus erythematosus. https://app.cochat.ai/papers/10.1038/ncomms16021
- The paper
- Langefeld, C. D., Ainsworth, H. C., Graham, D. S. C., Kelly, J. A., Comeau, M. E., Marion, M. C., Howard, T. D., Ramos, P. S., Croker, J. A., Morris, D. L., Sandling, J. K., Almlöf, J. C., Acevedo-Vásquez, E. M., Alarcón, G. S., Babini, A. M., Baca, V., Bengtsson, A. A., Berbotto, G. A., Bijl, M., . . . Vyse, T. J. (2017). Transancestral mapping and genetic load in systemic lupus erythematosus. Nature Communications. https://doi.org/10.1038/ncomms16021
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
