The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics
Open accessPublished version of a preprint
Abstract
Scalable, integrative methods to understand mechanisms that link genetic variants with phenotypes are needed. Here we derive a mathematical expression to compute PrediXcan (a gene mapping approach) results using summary data (S-PrediXcan) and show its accuracy and general robustness to misspecified reference sets. We apply this framework to 44 GTEx tissues and 100+ phenotypes from GWAS and meta-analysis studies, creating a growing public catalog of associations that seeks to capture the effects of gene expression variation on human phenotypes. Replication in an independent cohort is shown. Most of the associations are tissue specific, suggesting context specificity of the trait etiology. Colocalized significant associations in unexpected tissues underscore the need for an agnostic scanning of multiple contexts to improve our ability to detect causal regulatory mechanisms. Monogenic disease genes are enriched among significant associations for related traits, suggesting that smaller alterations of these genes may cause a spectrum of milder phenotypes.
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?
In the citing paper
“The MASHR model is biologically informed, with Deterministic Approximation of Posteriors (DAP-G) based fine mapped variables and recommended by the developers.45”
From Bi-ancestral depression GWAS in the Million Veteran Program and meta-analysis in >1.2 million individuals highlight new therapeutic directions (2021) · cites this paper as [45]
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
Regularization and Variable Selection Via the Elastic Net
Zou, H., & Hastie, T. (2005) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.1467-9868.2005.00503.x · Cited by 20,957
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
Self-citationSecond-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
Statistical significance for genomewide studies
Storey, J. D., & Tibshirani, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1530509100 · Cited by 9,692
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
The Wellcome Trust Case Control Consortium, Management Committee, Burton, P. R., Clayton, D. G., Cardon, L. R., Craddock, N., Deloukas, P., Duncanson, A., Kwiatkowski, D. P., McCarthy, M. I., et al. (2007) · Nature · doi:10.1038/nature05911 · Cited by 9,442
Self-citationGiambartolomei, 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
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
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
(2013) · The Lancet · doi:10.1016/s0140-6736(12)62129-1 · Cited by 3,010
An Expanded View of Complex Traits: From Polygenic to Omnigenic
Boyle, E. A., Li, Y. I., & Pritchard, J. K. (2017) · Cell · doi:10.1016/j.cell.2017.05.038 · Cited by 2,851
Flagged first, then by citations
Cited by
Sorted by citations
The GTEx Consortium atlas of genetic regulatory effects across human tissues
The GTEx Consortium, Aguet, F., Anand, S., Ardlie, K. G., Gabriel, S., Getz, G. A., Graubert, A., Hadley, K., Handsaker, R. E., Huang, K. H., et al. (2020) · Science · doi:10.1126/science.aaz1776 · Cited by 5,547
Self-citationNew insights into the genetic etiology of Alzheimer’s disease and related dementias
Bellenguez, C., Küçükali, F., Jansen, I. E., Kleineidam, L., Moreno-Grau, S., Amin, N., Naj, A. C., Campos-Martin, R., Grenier-Boley, B., Andrade, V., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01024-z · Cited by 2,498
Self-citationEvaluating the potential role of pleiotropy in Mendelian randomization studies
Hemani, G., Bowden, J., & Davey Smith, G. (2018) · Human Molecular Genetics · doi:10.1093/hmg/ddy163 · Cited by 1,496
“S-PrediXcan (32) adopts a similar strategy of using an”
MethodAnnotation-free quantification of RNA splicing using LeafCutter
Li, Y. I., Knowles, D. A., Humphrey, J., Barbeira, A. N., Dickinson, S. P., Im, H. K., & Pritchard, J. K. (2018) · Nature Genetics · doi:10.1038/s41588-017-0004-9 · Cited by 765
Self-citationarcOGEN Consortium, Tachmazidou, I., Hatzikotoulas, K., Southam, L., Esparza-Gordillo, J., Haberland, V., Zheng, J., Johnson, T., Koprulu, M., Zengini, E., et al. (2019) · Nature Genetics · doi:10.1038/s41588-018-0327-1 · Cited by 516
Self-citation
Metadata
- Authors
- Barbeira, A. N., Dickinson, S. P., Bonazzola, R., Zheng, J., Wheeler, H. E., Torres, J. M., Torstenson, E. S., Shah, K. P., Garcia, T., Edwards, T. L., Stahl, E. A., Huckins, L. M., GTEx Consortium, Laboratory, D. A. &. C. C. (. W. G., Aguet, F., Ardlie, K. G., Cummings, B. B., Gelfand, E. T., Getz, G., Hadley, K., Handsaker, R. E., Huang, K. H., Kashin, S., Karczewski, K. J., Lek, M., Li, X., MacArthur, D. G., Nedzel, J. L., Nguyen, D. T., Noble, M. S., Segrè, A. V., Trowbridge, C. A., Tukiainen, T., Statistical Methods groups—Analysis Working Group, Abell, N. S., Balliu, B., Barshir, R., Basha, O., Battle, A., Bogu, G. K., Brown, A., Brown, C. D., Castel, S. E., Chen, L. S., Chiang, C., Conrad, D. F., Damani, F. N., Davis, J. R., Delaneau, O., Dermitzakis, E. T., Engelhardt, B. E., Eskin, E., Ferreira, P. G., Frésard, L., Gamazon, E. R., Garrido-Martín, D., Gewirtz, A. D. H., Gliner, G., Gloudemans, M. J., Guigo, R., Hall, I. M., Han, B., He, Y., Hormozdiari, F., Howald, C., Jo, B., Kang, E. Y., Kim, Y., Kim-Hellmuth, S., Lappalainen, T., Li, G., Li, X., Liu, B., Mangul, S., McCarthy, M. I., McDowell, I. C., Mohammadi, P., Monlong, J., Montgomery, S. B., Muñoz-Aguirre, M., Ndungu, A. W., Nobel, A. B., Oliva, M., Ongen, H., Palowitch, J. J., Panousis, N., Papasaikas, P., Park, Y., Parsana, P., Payne, A. J., Peterson, C. B., Quan, J., Reverter, F., Sabatti, C., Saha, A., Sammeth, M., Scott, A. J., Shabalin, A. A., Sodaei, R., Stephens, M., Stranger, B. E., Strober, B. J., Sul, J. H., Tsang, E. K., Urbut, S., van de Bunt, M., Wang, G., Wen, X., Wright, F. A., Xi, H. S., Yeger-Lotem, E., Zappala, Z., Zaugg, J. B., Zhou, Y.-H., groups, E. G. (., Akey, J. M., Bates, D., Chan, J., Chen, L. S., Claussnitzer, M., Demanelis, K., Diegel, M., Doherty, J. A., Feinberg, A. P., Fernando, M. S., Halow, J., Hansen, K. D., Haugen, E., Hickey, P. F., Hou, L., Jasmine, F., Jian, R., Jiang, L., Johnson, A., Kaul, R., Kellis, M., Kibriya, M. G., Lee, K., Li, J. B., Li, Q., Li, X., Lin, J., Lin, S., Linder, S., Linke, C., Liu, Y., Maurano, M. T., Molinie, B., Montgomery, S. B., Nelson, J., Neri, F. J., Oliva, M., Park, Y., Pierce, B. L., Rinaldi, N. J., Rizzardi, L. F., Sandstrom, R., Skol, A., Smith, K. S., Snyder, M. P., Stamatoyannopoulos, J., Stranger, B. E., Tang, H., Tsang, E. K., Wang, L., Wang, M., Van Wittenberghe, N., Wu, F., Zhang, R., Fund, N. C., Nierras, C. R., NIH/NCI, Branton, P. A., Carithers, L. J., Guan, P., Moore, H. M., Rao, A., Vaught, J. B., NIH/NHGrI, Gould, S. E., Lockart, N. C., Martin, C., Struewing, J. P., Volpi, S., NIH/NIMH, Addington, A. M., Koester, S. E., NIH/NIDA, Little, A. R., Site—NDrI, B. C. S., Brigham, L. E., Hasz, R., Hunter, M., Johns, C., Johnson, M., Kopen, G., Leinweber, W. F., Lonsdale, J. T., McDonald, A., Mestichelli, B., Myer, K., Roe, B., Salvatore, M., Shad, S., Thomas, J. A., Walters, G., Washington, M., Wheeler, J., Site—rPCI, B. C. S., Bridge, J., Foster, B. A., Gillard, B. M., Karasik, E., Kumar, R., Miklos, M., Moser, M. T., resource—VArI, B. C., Jewell, S. D., Montroy, R. G., Rohrer, D. C., Valley, D. R., Brain Bank repository—University of Miami Brain Endowment Bank, Davis, D. A., Mash, D. C., Leidos Biomedical—Project Management, Undale, A. H., Smith, A. M., Tabor, D. E., Roche, N. V., McLean, J. A., Vatanian, N., Robinson, K. L., Sobin, L., Barcus, M. E., Valentino, K. M., Qi, L., Hunter, S., Hariharan, P., Singh, S., Um, K. S., Matose, T., Tomaszewski, M. M., Study, E., Barker, L. K., Mosavel, M., Siminoff, L. A., Traino, H. M., Visualization—EBI, G. B. D. I. &., Flicek, P., Juettemann, T., Ruffier, M., Sheppard, D., Taylor, K., Trevanion, S. J., Zerbino, D. R., Genome Browser Data Integration & Visualization—UCSC Genomics Institute, U. O. C. S. C., Craft, B., Goldman, M., Haeussler, M., Kent, W. J., Lee, C. M., Paten, B., Rosenbloom, K. R., Vivian, J., Zhu, J., Nicolae, D. L., Cox, N. J., & Im, H. K.
- Affiliations
- University of Chicago (US)
- Loyola University Chicago (US)
- Vanderbilt University (US)
- Vanderbilt University Medical Center (US)
- Broad Institute (US)
- Stanford University (US)
- Ben-Gurion University of the Negev (IL)
- Johns Hopkins University (US)
- Universitat Pompeu Fabra (ES)
- University of Geneva (CH)
- University of Pennsylvania (US)
- Columbia University Irving Medical Center (US)
- Washington University in St. Louis (US)
- Princeton University (US)
- University of California, Los Angeles (US)
- Universidade do Porto (PT)
- Amsterdam UMC Location University of Amsterdam (NL)
- Asan Medical Center (KR)
- Columbia University (US)
- Centre for Human Genetics (GB)
- Duke University (US)
- University of North Carolina at Chapel Hill (US)
- The University of Texas MD Anderson Cancer Center (US)
- Pfizer (United States) (US)
- Universidade Federal do Rio de Janeiro (BR)
- University of Utah (US)
- University of Michigan (US)
- North Carolina State University (US)
- European Molecular Biology Laboratory (DE)
- Altius Institute for Biomedical Sciences (US)
- University of Washington (US)
- NYU Langone Health (US)
- National Institutes of Health (US)
- National Cancer Institute (US)
- National Institute of Dental and Craniofacial Research (US)
- National Human Genome Research Institute (US)
- Lifenet Health (US)
- National Disease Research Interchange (US)
- University at Buffalo, State University of New York (US)
- Roswell Park Comprehensive Cancer Center (US)
- Van Andel Institute (US)
- University of Miami (US)
- Leidos Biomedical Research Inc. (United States) (US)
- Temple University (US)
- Virginia Commonwealth University (US)
- European Bioinformatics Institute (GB)
- University of California, Santa Cruz (US)
- Corresponding author
- Im, Hae Kyung
- ORCID
- Barbeira, Alvaro N.
- Bonazzola, Rodrigo
- Wheeler, Heather E.
- Torstenson, Eric S.
- Edwards, Todd L.
- Stahl, Eli A.
- Huckins, Laura M.
- Aguet, François
- Ardlie, Kristin G.
- Cummings, Beryl B.
- Getz, Gad
- Hadley, Kane
- Handsaker, Robert E.
- Huang, Katherine H.
- Kashin, Seva
- Karczewski, Konrad J.
- Lek, Monkol
- MacArthur, Daniel G.
- Nedzel, Jared L.
- Noble, Michael S.
- Segrè, Ayellet V.
- Tukiainen, Taru
- Abell, Nathan S.
- Balliu, Brunilda
- Barshir, Ruth
- Basha, Omer
- Battle, Alexis
- Bogu, Gireesh K.
- Castel, Stephane E.
- Conrad, Donald F.
- Davis, Joe R.
- Delaneau, Olivier
- Dermitzakis, Emmanouil T.
- Engelhardt, Barbara E.
- Eskin, Eleazar
- Frésard, Laure
- Gamazon, Eric R.
- Garrido-Martín, Diego
- Gewirtz, Ariel D. H.
- Gloudemans, Michael J.
- Hall, Ira M.
- Han, Buhm
- Jo, Brian
- Kim-Hellmuth, Sarah
- Lappalainen, Tuuli
- Li, Xin
- Liu, Boxiang
- Mangul, Serghei
- McDowell, Ian C.
- Mohammadi, Pejman
- Monlong, Jean
- Muñoz-Aguirre, Manuel
- Nobel, Andrew B.
- Ongen, Halit
- Palowitch, John J.
- Panousis, Nikolaos
- Papasaikas, Panagiotis
- Park, YoSon
- Parsana, Princy
- Payne, Anthony J.
- Peterson, Christine B.
- Quan, Jie
- Sabatti, Chiara
- Sammeth, Michael
- Scott, Alexandra J.
- Shabalin, Andrey A.
- Strober, Benjamin J.
- Sul, Jae Hoon
- Urbut, Sarah
- Wang, Gao
- Wen, Xiaoquan
- Wright, Fred A.
- Xi, Hualin S.
- Zappala, Zachary
- Zaugg, Judith B.
- Zhou, Yi-Hui
- Akey, Joshua M.
- Bates, Daniel
- Chan, Joanne
- Claussnitzer, Melina
- Feinberg, Andrew P.
- Hansen, Kasper D.
- Haugen, Eric
- Hickey, Peter F.
- Jasmine, Farzana
- Jian, Ruiqi
- Jiang, Lihua
- Kellis, Manolis
- Lee, Kristen
- Li, Jin Billy
- Li, Qin
- Lin, Shin
- Liu, Yaping
- Maurano, Matthew T.
- Nelson, Jemma
- Park, Yongjin
- Pierce, Brandon L.
- Rinaldi, Nicola J.
- Rizzardi, Lindsay F.
- Sandstrom, Richard
- Smith, Kevin S.
- Snyder, Michael P.
- Stamatoyannopoulos, John
- Tang, Hua
- Wang, Li
- Wang, Meng
- Zhang, Rui
- Branton, Philip A.
- Struewing, Jeffery P.
- Volpi, Simona
- Addington, Anjene M.
- Hasz, Richard
- Foster, Barbara A.
- Gillard, Bryan M.
- Moser, Michael T.
- Jewell, Scott D.
- Rohrer, Daniel C.
- Davis, David A.
- Mash, Deborah C.
- Tabor, David E.
- Singh, Shilpi
- Matose, Takunda
- Mosavel, Maghboeba
- Siminoff, Laura A.
- Juettemann, Thomas
- Ruffier, Magali
- Sheppard, Dan
- Trevanion, Stephen J.
- Zerbino, Daniel R.
- Craft, Brian
- Haeussler, Maximilian
- Paten, Benedict
- Rosenbloom, Kate R.
- Nicolae, Dan L.
- Cox, Nancy J.
- Im, Hae Kyung
- Venue
- Nature Communications
- Published
- 2018-05-08
- Volume
- 9
- Issue
- 1
- Pages
- 1825-1825
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC5940825
- OpenAlex
- W2952346218
- Cited by
- 69
- References
- 50
- Citations by year
- 2026: 16 · 2025: 3 · 2024: 4 · 2023: 2 · 2022: 1 · 2021: 6 · 2020: 2 · 2019: 10 · 2018: 16
- FWCI
- 5.20
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Repositori digital de la UPF (Universitat Pompeu Fabra) (publishedVersion, cc-by)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- Loyola eCommons (Loyola University of Chicago) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- TUScholarShare (Temple University) (submittedVersion, cc-by)
- RECERCAT (Consorci de Serveis Universitaris de Catalunya) (submittedVersion, cc-by)
- Seoul National University Open Repository (Seoul National University) (submittedVersion)
- Funders
- University of Miami
- University of Pennsylvania
- Harvard University
- Loyola University Chicago
- Georgia Clinical and Translational Science Alliance (UL1 TR000430)
- Université de Genève
- National Institutes of Health (UL1TR000430, 5p50mh094267-05)
- Medical Research Council (MR/N01104X/1)
- National Heart, Lung, and Blood Institute
- National Institute of Mental Health (R01MH101814, T32MH020065, R01MH101822, R01MH090937, R01MH107666, R01MH101810, R01MH101782, R01MH101819, R01MH101820, R01MH090948, R01MH101825, R01MH090941, R01MH090936, R01MH090951)
- National Institute on Drug Abuse (R01DA033684, R01DA006227, P50DA037844)
- National Human Genome Research Institute (R15HG009569)
- NIH Office of the Director
- National Cancer Institute
- National Institute of Diabetes and Digestive and Kidney Diseases (F31DK101202, P30DK020595)
- National Institute of Neurological Disorders and Stroke
- Common Fund
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Keywords
- tissue-specific gene expression, expression quantitative trait loci, PrediXcan, GWAS summary statistics, GTEx, gene mapping, phenotypic association, colocalization
- MeSH terms
- Chromosome Mapping, Computer Simulation, Humans, Models, Genetic, Organ Specificity, Phenotype, Genetic Variation, Meta-Analysis as Topic, Gene Expression, Polymorphism, Single Nucleotide, Quantitative Trait Loci, 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