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A genomic mutational constraint map using variation in 76,156 human genomes
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Abstract
The depletion of disruptive variation caused by purifying natural selection (constraint) has been widely used to investigate protein-coding genes underlying human disorders 1-4, but attempts to assess constraint for non-protein-coding regions have proved more difficult. Here we aggregate, process and release a dataset of 76,156 human genomes from the Genome Aggregation Database (gnomAD)-the largest public open-access human genome allele frequency reference dataset-and use it to build a genomic constraint map for the whole genome (genomic non-coding constraint of haploinsufficient variation (Gnocchi)). We present a refined mutational model that incorporates local sequence context and regional genomic features to detect depletions of variation. As expected, the average constraint for protein-coding sequences is stronger than that for non-coding regions. Within the non-coding genome, constrained regions are enriched for known regulatory elements and variants that are implicated in complex human diseases and traits, facilitating the triangulation of biological annotation, disease association and natural selection to non-coding DNA analysis. More constrained regulatory elements tend to regulate more constrained protein-coding genes, which in turn suggests that non-coding constraint can aid the identification of constrained genes that are as yet unrecognized by current gene constraint metrics. We demonstrate that this genome-wide constraint map improves the identification and interpretation of functional human genetic variation.
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“Neutral, non-disease causing SALL1 variants (predicted loss-of-function, pLoF) were obtained from the gnomAD 48 database (v4.1.0, https://gnomad.broadinstitute.org/), with the following selection criteria: >2 cases found for each specific variant, no flag associated with dubious sequencing quality or possible pathogenicity.”
From Tetramerisation governs SALL transcription factor function in development and disease (2025) · cites this paper as [48]
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“we found that SALL1 is depleted of similar mutations in the healthy population, as a gnomAD 48 database (v4.1.0, https://gnomad.broadinstitute.org/) search identified only three variants, all at the C-terminus of the protein after SALL1 ZFC4”
From Tetramerisation governs SALL transcription factor function in development and disease (2025) · cites this paper as [48]
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“We note that there are many SNPs common (>5%) in these Polynesian sequences that are entirely absent from gnomAD (Fig. 1B) (6).”
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“For inclusion on these population-specific screening panels, the ACMG recommends a carrier frequency of >1/200 (5, 6).”
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Cites
BEDTools: a flexible suite of utilities for comparing genomic features
Quinlan, A. R., & Hall, I. M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq033 · Cited by 27,437
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-citationpROC: an open-source package for R and S+ to analyze and compare ROC curves
Robin, X., Turck, N., Hainard, A., Tiberti, N., Lisacek, F., Sanchez, J.-C., & Müller, M. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-77 · Cited by 13,697
Analysis of protein-coding genetic variation in 60,706 humans
Exome Aggregation Consortium, Lek, M., Karczewski, K. J., Minikel, E. V., Samocha, K. E., Banks, E., Fennell, T., O’Donnell-Luria, A. H., Ware, J. S., Hill, A. J., et al. (2016) · Nature · doi:10.1038/nature19057 · Cited by 9,587
Self-citationThe mutational constraint spectrum quantified from variation in 141,456 humans
Karczewski, K. J., Francioli, L. C., Tiao, G., Cummings, B. B., Alföldi, J., Wang, Q., Collins, R. L., Laricchia, K. M., Ganna, A., Birnbaum, D. P., et al. (2020) · Nature · doi:10.1038/s41586-020-2308-7 · Cited by 9,434
Self-citationIntegrative analysis of 111 reference human epigenomes
Roadmap Epigenomics Consortium, Kundaje, A., Meuleman, W., Ernst, J., Bilenky, M., Yen, A., Heravi-Moussavi, A., Kheradpour, P., Zhang, Z., Wang, J., et al. (2015) · Nature · doi:10.1038/nature14248 · Cited by 6,368
A general framework for estimating the relative pathogenicity of human genetic variants
Kircher, M., Witten, D. M., Jain, P., O'Roak, B. J., Cooper, G. M., & Shendure, J. (2014) · Nature Genetics · doi:10.1038/ng.2892 · Cited by 6,183
GENCODE: The reference human genome annotation for The ENCODE Project
Harrow, J., Frankish, A., Gonzalez, J. M., Tapanari, E., Diekhans, M., Kokocinski, F., Aken, B. L., Barrell, D., Zadissa, A., Searle, S., et al. (2012) · Genome Research · doi:10.1101/gr.135350.111 · Cited by 4,585
ClinVar: improving access to variant interpretations and supporting evidence
Landrum, M. J., Lee, J. M., Benson, M., Brown, G. R., Chao, C., Chitipiralla, S., Gu, B., Hart, J., Hoffman, D., Jang, W., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1153 · Cited by 4,196
Hindorff, L. A., Sethupathy, P., Junkins, H. A., Ramos, E. M., Mehta, J. P., Collins, F. S., & Manolio, T. A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903103106 · Cited by 4,013
Cited by
Sorted by citations
Items 501–600 of 1,003
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Di, C., Ramesh, S., Ernst, J., & Lohmueller, K. E. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.14.654124 · Cited by 5
Doma, S. A., Kraljić, N., Kristan, A., Debeljak, N., Maver, A., Pajič, T., & Zupan, I. P. (2024) · Frontiers in Medicine · doi:10.3389/fmed.2024.1440712 · Cited by 4
Autosomal-dominant macular dystrophy linked to a chromosome 17 tandem duplication
Adele, R., Hussein, R., Tavares, E. S., Ahmed, K., Scipio, M. D., Charish, J., Liang, M., Monis, S., Tumber, A. K., Chen, X., et al. (2024) · JCI Insight · doi:10.1172/jci.insight.178768 · Cited by 4
Self-citationHeterogeneous Group of Genetically Determined Auditory Neuropathy Spectrum Disorders
Buianova, A. A., Витальевна, Б. М., Belova, V. А., Ilyina, G. A., Фаритовна, С. А., Shmitko, A. O., Balakina, A. V., Pavlova, A. S., Suchalko, O. N., Korostin, D. O., et al. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252312554 · Cited by 4
Clinical manifestations of dual-gene variants involving ABCA4 in retinal dystrophies
Wolfram, L., Merle, D. A., Kuehlewein, L., Reith, M., Kempf, M., Stingl, K. T., Haack, T. B., Mazzola, P., Poths, K., Weisschuh, N., et al. (2025) · BMC Ophthalmology · doi:10.1186/s12886-025-04048-1 · Cited by 4
“1.0 [39]).”
InfluentialMosbruger, T. L., Dinou, A., Duke, J. L., Ferriola, D., Li, Y., Hayeck, T. J., & Monos, D. S. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf441 · Cited by 4
“Heterozygous SNVs were retained if the phred-based quality score was at least 50 and if they matched passing variants outside of low complexity regions in the GNOMAD [ 25 ] (v3.”
Kong, M., Golebka, J. P., Anderson, V. R., Bao, C., Bailey, J. A., Exinor, A., Demirkol, A., & Tsang, S. H. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26146615 · Cited by 4
“1.0 database to aid interpretation [21].”
InfluentialAlmalki, F., Alkorbi, H. A., Kamal, N. M., el naggar, M. E., bahlak, I. K., althobaiti, M. S., el zeky, A. M. E. S., Abdelkader, A. M. E., Alruqi, H., Alharby, E., et al. (2025) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.64236 · Cited by 4
“The variant is notably absent in population databases, including gnomAD, ESP, and the 1000 Genomes Project (Tennessen et al. 2012; Auton et al. 2015; Chen et al. 2024).”
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Fleury, M., Delestrain, C., Hadchouel, A., Mazenq, J., Benhamida, M., Bernard, A., Borie, R., Brouard, J., Corvol, H., Cros, P., et al. (2025) · Pediatric Pulmonology · doi:10.1002/ppul.71324 · Cited by 4
“For any further inquiries or requests for data, please contact the corresponding author.”
Genetic Variants and Disease Mechanisms: Lessons from Monogenic Childhood Epilepsies
Oberlack, A., & Wagner, M. (2025) · Neuropediatrics · doi:10.1055/a-2731-5130 · Cited by 4
BRAIN-MAGNET: A functional genomics atlas for interpretation of non-coding variants
Deng, R., Perenthaler, E., Nikoncuk, A., Yousefi, S., Lanko, K., Schot, R., Maresca, M., Salsench, E. M., Sanderson, L. E., Parker, M. J., et al. (2025) · Cell · doi:10.1016/j.cell.2025.10.029 · Cited by 6
Omnireg-gpt: a high-efficiency foundation model for comprehensive genomic sequence understanding
Wang, A., Li, J., Dong, H., Xu, B., Yin, Q., Xu, Y., Fu, J., & Zhao, J. (2025) · Nature Communications · doi:10.1038/s41467-025-65066-7 · Cited by 4
Self-citationGuevara‐Ramírez, P., Cadena-Ullauri, S., Tamayo‐Trujillo, R., Ruiz‐Pozo, V. A., Paz‐Cruz, E., Ibarra-Castillo, R., Laso-Bayas, J. L., & Zambrano, A. K. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms262411896 · Cited by 4
“Similarly, the variants identified in samples AND099, ADN117, and ADN120, all with NAM ancestry levels above 90%, have been described exclusively in European populations [52,53].”
InfluentialMonogenic disorders of immunity: Common variants are not so rare
Béziat, V., & Casanova, J. (2026) · Cell Genomics · doi:10.1016/j.xgen.2025.101129 · Cited by 4
Huang, A. Y., Cheng, Y., Ku, J., Zhao, B., Park, J., Kim, D., Choi, J., & Lee, E. A. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf1450 · Cited by 4
“In this case, we recommend that users utilize population polymorphism databases such as dbSNP [ 35 , 36 ] and gnomAD [ 37 ] to filter out germline variants.”
Keehan, L. A., Minagi, H. O., Hadhud, M., Rips, J., Hinds, D. M., Fischer, A. J., Bartlett, J. A., McCray, P. B., Qawasmi, N., Nathan, N., et al. (2026) · Genetics in Medicine · doi:10.1016/j.gim.2026.102531 · Cited by 4
Self-citationHamadou, M. H., Alunno, L., Peroni, D., Pancher, M., Mazza, F., Venturelli, T., Belli, R., Dassi, E., Romanel, A., & Inga, A. (2026) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2026.101535 · Cited by 3
“…tranSNP in the EIF4H gene associated with differences in protein allelic variants according to mass-spectrometry analysis Although present in the dbSNP database, the rs1554710467 is a rare variant, with a reported frequency of 2.75 x10 -6 based on exome sequencing from gnomAD (Chen et al. 2024).”
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McEwen, A. E., Stone, J., Tejura, M., Gupta, P., Capodanno, B. J., Da, E. Y., Grindstaff, S. B., Moore, N., Reinhart, D., Snyder, A. E., et al. (2026) · Genome Medicine · doi:10.1186/s13073-026-01782-z · Cited by 6
Hao, Y., Li, C., Wang, H., & Chen, M. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1241412 · Cited by 4
Dinh, B. L., Tang, E., Taparra, K., Nakatsuka, N. J., Chen, F., & Chiang, C. W. K. (2023) · Human Genetics · doi:10.1007/s00439-023-02625-2 · Cited by 4
Minakawa, S., Matsuzaki, Y., Higashino, T., Suzuki, T., Tomita, H., Akasaka, E., & Sawamura, D. (2024) · Frontiers in Medicine · doi:10.3389/fmed.2024.1374222 · Cited by 4
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Sun, B., Stamou, M. I., Stockman, S. L., Campbell, M. B., Plummer, L., Salnikov, K. B., Kotan, L. D., Topaloglu, A. K., Hisama, F. M., Davis, E. E., et al. (2024) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgae620 · Cited by 4
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Mori, T., Fujimaru, T., Liu, C., Patterson, K., Yamamoto, K., Suzuki, T., Chiga, M., Sekine, A., Ubara, Y., Miller, D. E., et al. (2024) · Kidney International Reports · doi:10.1016/j.ekir.2024.09.013 · Cited by 4
Self-citationLentschat, H., Ließmann, F., Tydings, C. W., Schermeng, T., Stichel, J., Urban, N. D., Schaefer, M., Meiler, J., & Beck‐Sickinger, A. G. (2024) · Angewandte Chemie International Edition · doi:10.1002/anie.202417786 · Cited by 4
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Sattar, S., Bharadwaj, T., Kalsoom, U., Acharya, A., Khan, S., Leal, S. M., & Schrauwen, I. (2025) · BMC Medical Genomics · doi:10.1186/s12920-024-02077-1 · Cited by 4
Pharmacogenomic markers associated with drug-induced QT prolongation: a systematic review
Bentestuen, M. S., Weis, C. N., Jeppesen, C. B., Thiele, L. S., Thirstrup, J. P., Cordero, J., Jensen, H. K., Starnawska, A., Hauser, A. S., & Gasse, C. (2025) · Pharmacogenomics · doi:10.1080/14622416.2025.2481025 · Cited by 4
Ramasamy, R. K., Raveendran, M., Harris, R. A., Le, H., Mure, L. S., Benegiamo, G., Dkhissi-Benyahya, O., Cooper, H. M., Rogers, J., & Panda, S. (2025) · Cell Genomics · doi:10.1016/j.xgen.2025.100823 · Cited by 5
German longevity study reveals novel rare pro-longevity alleles clustering in mTOR signaling pathway
Kolbe, D., Dose, J., Putter, P. C., Ziemann, M., Laudes, M., Slagboom, P. E., Franke, A., Deelen, J., & Nebel, A. (2025) · GeroScience · doi:10.1007/s11357-025-01640-7 · Cited by 6
“0.0) [37].”
InfluentialSelf-citationIdentification of Driver Mutations and Risk Stratification in Lung Adenocarcinoma via Liquid Biopsy
Pathak, G. P., Shah, R., Reiman, T., Wallace, A., Carter, M. D., Snow, S. L., Fris, J., & Xu, Z. (2025) · Cancers · doi:10.3390/cancers17081340 · Cited by 4
“The CHEK2 R523H variant in these cases is favored to be of germline origin or non-specific mutations and probably not related to underlying malignancy in non-cancer cases [31].”
Geiger, R., Khera, D., Tenthorey, J. L., Kochs, G., Graf, L., Emerman, M., & Malik, H. S. (2025) · Science Advances · doi:10.1126/sciadv.adu0062 · Cited by 5
“Of these, only the S540 variant is associated with better H5N1 restriction than wtMxA ( 37 ).”
Rare damaging variants in the sex differences of congenital heart disease: an exome sequencing study
Sun, H., Hao, X., Liu, H., Zhang, S., Han, J., Zhang, Y., Liu, T., Yang, X., Wang, H., Fan, J., et al. (2025) · EBioMedicine · doi:10.1016/j.ebiom.2025.105736 · Cited by 4
“The variant frequency was determined in the gnomAD database 35 and the ChinaMAP database 36 to remove common variants (minor allele frequency ≥ 0 ⋅ 1% in any of the global, East Asian populations, or Chinese population).”
Künstner, A., von Kopylow, V., Lohneis, P., Kümmel, M., Witte, H. M., Bastian, L., Bernard, V., Stölting, S., Kusch, K., Krokowski, M., et al. (2025) · Blood Advances · doi:10.1182/bloodadvances.2025016002 · Cited by 4
Abu‐Amara, H., Zhao, W., Li, Z., Leung, Y. Y., Schellenberg, G. D., Wang, L., Moorjani, P., Dey, A. B., Dey, S., Zhou, X., et al. (2025) · Genes · doi:10.3390/genes16060640 · Cited by 5
Self-citationDore, R., Chang, C.-T., Declève, A., Brunori, G., Ludlam, W. G., Huang, A., Movahedinia, M., Damseh, N. S., Anwar, I., Mehrjardi, M. Y. V., et al. (2025) · Genetics in Medicine · doi:10.1016/j.gim.2025.101506 · Cited by 4
Self-citationGenetic and Phenotypic Characterization of Nexilin (NEXN)–Related Cardiomyopathy
Perotto, M., Paldino, A., Mazzarotto, F., Barbati, G., Stroeks, S. L. V. M., Verdonschot, J. A. J., Akhtar, M. M., Elliot, P. M., Ochoa, J. P., García‐Pavía, P., et al. (2025) · JACC Heart Failure · doi:10.1016/j.jchf.2025.102529 · Cited by 4
Self-citationValentine, M. C., Mullen, M. M., Kotnik, E. N., Powell, M. A., Thaker, P. H., McCourt, C. K., Kuroki, L. M., Hagemann, A. R., Arend, R. C., Holehouse, A. S., et al. (2025) · Cancer Research · doi:10.1158/0008-5472.can-24-3804 · Cited by 4
Functional and Structural Characterization of LRRK2 p. V1447L in Parkinson's Disease
Pratuseviciute, N., Lis, P., Weber, S., Gruchy, N., Arnaud, L., Alessi, D. R., & Sammler, E. M. (2025) · Movement Disorders · doi:10.1002/mds.30284 · Cited by 4
Ghaleb, Y. E., Fernández‐Quintero, M. L., Campiglio, M., Tuluc, P., Höing, A.-S., Kortüm, F., Motazacker, M. M., Jansen, I. E., Elting, M. W., Plomp, A. S., et al. (2025) · PLoS Genetics · doi:10.1371/journal.pgen.1011828 · Cited by 4
“The third variant c.1193C > A; p.(Ala398Glu) was identified in a single individual, however, the allele balance for the adenine was in the range of 0.2-0.25 suggesting somatic mosaicism of the variant in the analyzed tissue/cells [12].”
InfluentialGonzalez, C. A. D., Bell, K. M., Rajagopalan, R., Silva, M. D., Lemes, A., Zabala, C., Pérez‐Vidarte, F., Cerisola, A., Vossough, A., Whitehead, M. T., et al. (2025) · Neurology Genetics · doi:10.1212/nxg.0000000000200291 · Cited by 4
“Sequence variants (SNVs and indels) were annotated using the Variant E ff ect Predictor (VEP v106) 11 and fi ltered against the gnomAD population database (v4) 12 to remove variants that are observed in the general population (minor allele frequency [AF] threshold at 0.5%).”
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Vooren, E. V., den Broeck, F. V., Mahieu, Q., Geens, E., Heetvelde, M. V., Bruyne, M. D., de Sompele, S. V., Uppal, S., Poliakov, E., Dhaenens, C., et al. (2025) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.66.12.53 · Cited by 5
“33 The fact that another RPE65 variant has been reported at the same location, c.1555G > T, p.(Glu519Ter), in the context of AR RPE65 -IRD, suggests this guanine is prone to variation.”
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“…gene assignments from OncoKB 41 , protein localization and function from The Human Protein Atlas 42 , constraint data from gnomAD (version 4.1) 43 , 3089 manually curated GOF variants involved in1299diseases from GoFCards 44 , geneinvolvementinautosomal…”
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Pienkowski, V. M., Boschert, T., Skoczylas, P., Sanecka-Duin, A., Jasiński, M., Król-Józaga, B., Mazzocco, G., Stachura, S. S., Bunse, L., Kaczmarczyk, J., et al. (2025) · Journal of Cancer Research and Clinical Oncology · doi:10.1007/s00432-025-06330-7 · Cited by 6
Nagasaki, M., Katayama, T., Moriya, Y., Sekiya, Y., Kawashima, S., Teraoka, R., Machida, S., Matsubara, T., Hashimoto, H., Asakura, A., et al. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf1232 · Cited by 4
“…resources including ClinVar [ 22 ], ClinGen [ 50 ], the NIH Genetic Testing Registry [ 51 ], DECIPHER [ 52 ], and ClinVar Miner [ 53 ]; and (iv) general annotation resources including GeneCards [ 54 ], Open Targets [ 55 ], Human Protein Atlas [ 56 ], gnomAD [ 57 ], and TogoVar [ 58 ].”
Zhou, H., Verma, V., Li, X., Li, Z., Shedd, N., Li, T. C., Yang, H., Zhang, A., Borsari, B., Buyske, S. G., et al. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf1217 · Cited by 4
“…(COSMIC) [ 41 ], variant-phenotype associations (GWAS Cat-alog) [ 42 ], the latest allele frequencies from updated gnomAD v4 [ 43 ], updated ClinVar annotations [ 44 ], non-coding variants constrain scores like Gnocchi [ 43 ] and JARVIS [ 45 ], and new integrative scores such as MACIE [ 46 ].”
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Meisel, J. D., Joshi, P. R., Spelbring, A. N., Wang, H., Wellner, S. M., Wiesenthal, P. P., Miranda, M., McCoy, J. G., Barondeau, D. P., Ruvkun, G., et al. (2025) · Nature · doi:10.1038/s41586-025-09821-2 · Cited by 6
“In support, the gnomAD database reveals that humans are tolerant of carrying one FDX2 loss-of-function allele 40 .”
Self-citationNoveski, P., Plaseski, T., Dimitrovska, M. J., & Plaseska‐Karanfilska, D. (2023) · Balkan Journal of Medical Genetics · doi:10.2478/bjmg-2023-0012 · Cited by 4
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Sequeros, C. B., Hansen, T. F., Westergaard, D., Louloudis, I. E., Kalamajski, S., Röder, T., Rohde, P. D., Schwinn, M., Clemmensen, L. K. H., Didriksen, M., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-51636-0 · Cited by 5
Cameron, J. M., Osundiji, M. A., Olson, R. J., Olarewaju, B. A., & Schulze, A. (2024) · Genetics in Medicine Open · doi:10.1016/j.gimo.2024.101815 · Cited by 5
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Sardag, I., Duvenci, Z. S., Belkaya, S., & Timucin, E. (2024) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2024.04.037 · Cited by 4
Illuminating the function of the orphan transporter, SLC22A10, in humans and other primates
Yee, S. W., Ferrández-Peral, L., Alentorn-Moron, P., Fontsere, C., Ceylan, M., Koleske, M. L., Handin, N., Artegoitia, V. M., Lara, G., Chien, H.-C., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-48569-7 · Cited by 4
Ryu, S. W., Jeong, W. C., Hong, G., Cho, J. S., Lee, S. Y., Kim, H., Jang, J. Y., Lee, S. H., Bae, D., Cho, J. Y., et al. (2024) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2024.1424551 · Cited by 4
Self-citationPlanté‐Bordeneuve, P., Boussion, S., Rama, M., Brunelle, P., Thuillier, C., Vanlerberghe, C., Caumes, R., Colson, C., Ait‐Yahya, E., Ghoumid, J., et al. (2024) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.63820 · Cited by 4
McDonough, G. A., Cheng, Y., Morillo, K. S., Doan, R. N., Zhou, Z., Kenny, C. J., Foutz, A., Kim, C., Cohen, M. L., Appleby, B. S., et al. (2024) · Acta Neuropathologica · doi:10.1007/s00401-024-02774-2 · Cited by 5
Holling, T., Abdelrazek, I. M., Elhady, G. M., Elmaksoud, M. S. A., Ryu, S. W., Abdalla, E. M., & Kutsche, K. (2024) · Journal of Human Genetics · doi:10.1038/s10038-024-01279-w · Cited by 4
The ALS-associated KIF5A P986L variant is not pathogenic for Drosophila motoneurons
Layalle, S., Aimond, F., Brugioti, V., Guissart, C., Raoul, C., & Soustelle, L. (2024) · Scientific Reports · doi:10.1038/s41598-024-70543-y · Cited by 4
Biallelic EPB41L3 variants underlie a developmental disorder with seizures and myelination defects
Werren, E. A., Bey, G. R., Majethia, P., Kaur, P., Patil, S. J., Kekatpure, M. V., Afenjar, A., Qebibo, L., Bürglen, L., Tomoum, H. Y., et al. (2024) · Brain · doi:10.1093/brain/awae299 · Cited by 4
Genetic variants in patients with multiple arterial aneurysms
Körfer, D., Grond‐Ginsbach, C., Peters, A. S., Burkart, S., Hempel, M., Schaaf, C. P., Böckler, D., & Erhart, P. (2024) · Langenbeck s Archives of Surgery · doi:10.1007/s00423-024-03488-5 · Cited by 4
Zamfir-Taranu, A., Löscher, B.-S., Carbone, F., Hoter, A., Esteban‐Blanco, C., Bozzarelli, I., Torices, L., Routhiaux, K., den Houte, K. V., Bonfiglio, F., et al. (2024) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2024.09.004 · Cited by 4
Self-citationRuiz, I. J., Wiltrout, K., Stredny, C. M., & Mahida, S. (2024) · Genes · doi:10.3390/genes15111425 · Cited by 4
Özdemir, Ö., Bychkovsky, B., Unal, B., Önder, G., Amanvermez, U., Aydin, E., Ergun, B., Sahin, I., Gökbayrak, M. E., Ugurtas, C., et al. (2024) · Cancers · doi:10.3390/cancers16223876 · Cited by 5
Hammoud, M., Domínguez-Ruiz, M., Assiri, I., Rodrigues, D., Aboussair, N., Lanza, V. F., Villarrubia, J., Colón, C., Fdil, N., & del Castillo, F. J. (2024) · Genes · doi:10.3390/genes15121515 · Cited by 4
SURFBAT: a surrogate family based association test building on large imputation reference panels
Herzig, A. F., Rubinacci, S., Marenne, G., Perdry, H., Génin, E., Campion, D., Dartigues, J., Deleuze, J., Lambert, J., Redon, R., et al. (2024) · G3 Genes Genomes Genetics · doi:10.1093/g3journal/jkae287 · Cited by 4
Cassini, T. A., Silverstein, S., Behan, M., Tifft, C. J., Malicdan, M. C. V., Adams, D. R., Undiagnosed Diseases Network, Ahn, S., & Regier, D. S. (2024) · JIMD Reports · doi:10.1002/jmd2.12459 · Cited by 4
Hernández-Ramírez, L. C., Ramírez‐Rentería, C., Rebollar‐Vega, R., Zuarth-Vázquez, J. M., Torres-Morán, M., Franco-Álvarez, A. L., Manzo-Osnaya, A. I., Martell-Jiménez, E. E., Rodríguez-Torres, M., Hernández-Núñez, W. E., et al. (2025) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaf075 · Cited by 5
Activation of FGFR genes by genetic and epigenetic alterations in uterine leiomyomas
Jokinen, V., Taira, A., Kolterud, Å., Ahlgren, I., Palin, K., Katainen, R., Räisänen, M., Kaasinen, E., Ilves, S., Raitila, A., et al. (2025) · BJC Reports · doi:10.1038/s44276-025-00127-4 · Cited by 4
Ehrenberg, M., Avraham, M., Sarma, A. S., Moye, A. R., Sangermano, R., Rizel, L., Ali-Nasser, T., Sher, I., Gurwitz, D., Chao, K. R., et al. (2025) · Genetics in Medicine · doi:10.1016/j.gim.2025.101401 · Cited by 4
Self-citationBarsa, C., Perrin, J., David, C., Mourier, A., & Rojo, M. (2025) · Scientific Reports · doi:10.1038/s41598-025-93702-1 · Cited by 5
“Ten of them are classified as pathogenic or likely pathogenic in variant databases (Table 1) and are absent or extremely rare in gnomAD 35 , the largest publicly available reference population database (Table 1, supplementary Table 2).”
UDP‐glucose dehydrogenase variants cause dystroglycanopathy
Reelfs, A. M., Stephan, C. M., Czech, T. M., Cox, M. O., Joseph, S., Darbro, B. W., Moore, S. A., Campbell, K. P., & Mathews, K. D. (2025) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.70002 · Cited by 4
Kantaputra, P. N., Apivatthakakul, A., Kaewgahya, M., Tongsima, S., Ngamphiw, C., Sastraruji, T., Sukantamala, P., Carlson, B. M., Kawasaki, K., Cairns, J. R. K., et al. (2025) · International Dental Journal · doi:10.1016/j.identj.2025.04.002 · Cited by 4
“…of the identified variants were determined using Ensembl Variant Effect Predictor (VEP) build 113 30 and the Database for Nonsynonymous SNPs’ Functional Predictions (dbNSFP) version 4.9a 31 The world population allele frequencies from gnomAD version 4.1 32 were used to fil-ter candidate variants.”
InfluentialThe state of the human coding gene catalogues
Maquedano, M., Cerdán-Vélez, D., & Tress, M. L. (2025) · Database · doi:10.1093/database/baaf045 · Cited by 4
Pathogenetic mechanisms of muscle-specific ribosomes in dilated cardiomyopathy
Murphy, M. R., Ganapathi, M., Rotlevi, E. R., Lee, T. M., Fisher, J. M., Patel, M. V., Jayakar, P., Buchanan, A., Rippert, A. L., Ahrens‐Nicklas, R. C., et al. (2026) · Nature Cardiovascular Research · doi:10.1038/s44161-025-00761-8 · Cited by 5
“Consistent with the absence of a severe cardiac phenotype in Rpl3l - knockout mice, live human knockouts of RPL3L presumably free of severe early-onset DCM have been identified in large-scale genetic studies, including gnomAD 19 , All of Us 20 and the UK Biobank 21 (Fig.”
Self-citationA Case Study on PPM1D and 9 Other Shared Germline Alterations in a Family
Biswas, S., Manekar, S. C., & Bakshi, S. R. (2023) · Asian Pacific Journal of Cancer Prevention · doi:10.31557/apjcp.2023.24.6.2129 · Cited by 4
Díaz‐Tufinio, C. A., Palma‐Aguirre, J. A., & González-Covarrubias, V. (2023) · Journal of Personalized Medicine · doi:10.3390/jpm13091352 · Cited by 4
Applications for Deep Learning in Epilepsy Genetic Research
Zeibich, R., Kwan, P., O'Brien, T. J., Perucca, P., Ge, Z., & Anderson, A. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241914645 · Cited by 4
Brief Communication: The Predictable Network Topology of Evolutionary Genomic Constraint
Valero, K. C. W. (2024) · Molecular Biology and Evolution · doi:10.1093/molbev/msae033 · Cited by 4
The modern human aryl hydrocarbon receptor is more active when ancestralized by genome editing
Helmbrecht, N., Lackner, M., Maričić, T., & Pääbo, S. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2402159121 · Cited by 5
REEV: review, evaluate and explain variants
Hramyka, D., Sczakiel, H. L., Zhao, M., Stolpe, O., Nieminen, M., Adam, R., Danyel, M., Einicke, L., Hägerling, R., Knaus, A., et al. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae366 · Cited by 4
Haberman, A. S., & Peterson, C. N. (2024) · Essays in Biochemistry · doi:10.1042/ebc20230078 · Cited by 4
Wang, L., Nuñez, Y. Z., Martínez‐Magaña, J. J., Rivera-Hernández, M., Mao, Z., Brennand, K., Montalvo‐Ortiz, J. L., Kranzler, H. R., Gelernter, J. E., & Zhou, H. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03578-y · Cited by 4
Self-citationChen, J., Landback, P., Arsala, D., Guzzetta, A., Xia, S., Atlas, J., Sosa, D., Zhang, Y. E., Cheng, J., Shen, B., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.11.14.567139 · Cited by 4
Maio, N., Orbach, R., Zaharieva, I. T., Töpf, A., Donkervoort, S. C., Munot, P., Mueller, J., Willis, T. A., Verma, S., Perić, S., et al. (2023) · medRxiv · doi:10.1101/2023.12.20.23300170 · Cited by 4
The age-related deceleration of clonal haematopoiesis in 420,000 healthy adultsPreprint
MacGregor, H. A. J., Tran, D., Bolton, K. L., Easton, D. F., & Blundell, J. R. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.12.21.572706 · Cited by 4
Genome-wide association meta-analysis of age at onset of walkingPreprint
Gui, A., Hollowell, A., Wigdor, E. M., MORGAN, M., Hannigan, L. J., Corfield, E. C., Odintsova, V. V., Hottenga, J., Wong, A., Pool, R., et al. (2024) · medRxiv · doi:10.1101/2024.05.07.24306845 · Cited by 4
Monoallelic TYROBP deletion is a novel risk factor for Alzheimer’s diseasePreprint
Martiskainen, H., Willman, R.-M., Heikkinen, S., Müller, S. A., Sinisalo, R., Takalo, M., Mäkinen, P. M., Kuulasmaa, T., Pekkala, V., del Rey, A. G., et al. (2024) · medRxiv · doi:10.1101/2024.05.09.24307099 · Cited by 4
Self-citationPatterns of population structure and genetic variation within the Saudi Arabian populationPreprint
Malomane, D. K., Williams, M. P., Tian, L., Tang, J., Huber, C. D., Mangul, S., Abedalthagafi, M., & Chiang, C. W. K. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.10.632500 · Cited by 5
Genetic screening in a Brazilian cohort with inborn errors of immunity
Ferreira, C. S., Francisco, R. D. S., Gerber, A. L., Guimarães, A. P. D. C., Amendola, F. A., dos Reis, B. C. S., Mariz, F. P., de Souza, M. S., de Vasconcelos, Z. F. M., Goudouris, E., et al. (2023) · BMC Genomic Data · doi:10.1186/s12863-023-01148-z · Cited by 3
Potential Involvements of Cilia-Centrosomal Genes in Primary Congenital Glaucoma
Pyatla, G., Kabra, M., Mandal, A. K., Zhang, W., Mishra, A., Bera, S., Rathi, S., Patnaik, S., Anthony, A. A., Dixit, R., et al. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms251810028 · Cited by 3
Ming, M. J., Cheng, C., Kirkpatrick, M., & Harpak, A. (2025) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2024.12.016 · Cited by 4
Origin and Genealogy of Rare mtDNA Haplotypes Detected in the Serbian Population
Davidović, S., Aleksić, J. M., Tanasković, M., Erić, P., Stevanović, M. J., & Kovačević‐Grujičić, N. (2025) · Genes · doi:10.3390/genes16010106 · Cited by 3
Basri, R., Aqeel, M. B., Awan, F. M., Khan, S. N., Obaid, A., Parveen, R., Mohsin, M. J., Akhtar, W., Shah, A. H., Afghan, T. S., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-88095-0 · Cited by 3
Wallace, B. A., Varona, N. S., & Silveira, C. B. (2025) · Coral reefs of the world · doi:10.1007/978-3-031-76692-3_5 · Cited by 3
Comprehensive pharmacogenomics profiling of the Serbian population
Jelovac, M., Pavlovic, D., Stanković, B., Kotur, N., Ristivojević, B., Pavlović, S., & Zukić, B. (2025) · Frontiers in Pharmacology · doi:10.3389/fphar.2025.1553536 · Cited by 3
Ambrose, A., Caluseriu, O., & Mercimek‐Andrews, S. (2025) · Human Mutation · doi:10.1155/humu/6490124 · Cited by 3
Hashimoto, A. S., Yu, J., Williams, C., Gaudenz, K., Varshosaz, P., Zhao, R., Pilli, N. R., Liu, T., Russell, J., Tooze, R. S., et al. (2025) · Genetics in Medicine Open · doi:10.1016/j.gimo.2025.103427 · Cited by 3
Failed cellular surveillance enables pathogenic matrix deposition in a COL2A1-related osteoarthritis
Yammine, K. M., Abularach, S. M., Xiong, M., Kim, S.-Y., Bikovtseva, A. A., Butty, V. L., Schiavoni, R. P., Bateman, J. F., Lamandé, S. R., & Shoulders, M. D. (2025) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2025.110436 · Cited by 3
The global prevalence and genetic spectrum of primary carnitine deficiency
Sun, L., Yao, K., & Wu, H. (2025) · BMC Genomic Data · doi:10.1186/s12863-025-01336-z · Cited by 3
Fortuño, C., Richardson, M. E., Pesaran, T. F., McGoldrick, K., James, P. A., & Spurdle, A. B. (2025) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2025.100484 · Cited by 3
“28 Sensitivity analyses were performed to investigate the distribution of all scores above, after excluding variants flagged as reduced pene-trance by only a single diagnostic laboratory.”
Wang, J., Russ, D., Yang, Y., Pu, L., Yu, M., Zhang, J., Guo, J., Xu, Y., Wan, K., Xu, H., et al. (2025) · Precision Clinical Medicine · doi:10.1093/pcmedi/pbaf019 · Cited by 3
“Filtering allele frequencies and unformatted allele frequencies were obtained from gnomAD [ 25 ] v4.”
Li, E., Ho, R., Tao, R., Choi, Y. W. Y., Shin, C. Y., Chen, S. Y., Gokbayrak, B., Senz, J., Yao, B., Johnston, L., et al. (2025) · npj Precision Oncology · doi:10.1038/s41698-025-01053-x · Cited by 5
“Further fi ltering using gnomAD and ClinVar 57,58 was performed to fi lter out more germline SNPs and variants with a Global Minor Allele Frequency ≥ 0.01.”
InfluentialSelf-citationWang, J., Yang, M., Zong, C. F., Li, Y., Verkhivker, G. M., Xiao, F., & Hu, G. (2025) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.5c01219 · Cited by 3
Metadata
- Authors
- Chen, S., Francioli, L. C., Goodrich, J. K., Collins, R. L., Kanai, M., Wang, Q., Alföldi, J., Watts, N. A., Vittal, C., Gauthier, L. D., Poterba, T., Wilson, M. W., Tarasova, Y., Phu, W., Grant, R., Yohannes, M. T., Koenig, Z., Farjoun, Y., Banks, E., Donnelly, S., Gabriel, S., Gupta, N., Ferriera, S., Tolonen, C., Novod, S., Bergelson, L., Roazen, D., Ruano-Rubio, V., Covarrubias, M., Llanwarne, C., Petrillo, N., Wade, G., Jeandet, T., Munshi, R., Tibbetts, K., Genome Aggregation Database Consortium, Abreu, M., Aguilar Salinas, C. A., Ahmad, T., Albert, C. M., Ardissino, D., Armean, I. M., Atkinson, E. G., Atzmon, G., Barnard, J., Baxter, S. M., Beaugerie, L., Benjamin, E. J., Benjamin, D., Boehnke, M., Bonnycastle, L. L., Bottinger, E. P., Bowden, D. W., Bown, M. J., Brand, H., Brant, S., Brookings, T., Bryant, S., Calvo, S. E., Campos, H., Chambers, J. C., Chan, J. C., Chao, K. R., Chapman, S., Chasman, D. I., Chisholm, R., Cho, J., Chowdhury, R., Chung, M. K., Chung, W. K., Cibulskis, K., Cohen, B., Connolly, K. M., Correa, A., Cummings, B. B., Dabelea, D., Danesh, J., Darbar, D., Darnowsky, P., Denny, J., Duggirala, R., Dupuis, J., Ellinor, P. T., Elosua, R., Emery, J., England, E., Erdmann, J., Esko, T., Evangelista, E., Fatkin, D., Florez, J., Franke, A., Fu, J., Färkkilä, M., Garimella, K., Gentry, J., Getz, G., Glahn, D. C., Glaser, B., Glatt, S. J., Goldstein, D., Gonzalez, C., Groop, L., Gudmundsson, S., Haessly, A., Haiman, C., Hall, I., Hanis, C. L., Harms, M., Hiltunen, M., Holi, M. M., Hultman, C. M., Jalas, C., Kallela, M., Kaplan, D., Kaprio, J., Kathiresan, S., Kenny, E. E., Kim, B.-J., Kim, Y. J., King, D., Kirov, G., Kooner, J., Koskinen, S., Krumholz, H. M., Kugathasan, S., Kwak, S. H., Laakso, M., Lake, N., Langsford, T., Laricchia, K. M., Lehtimäki, T., Lek, M., Lipscomb, E., Loos, R. J. F., Lu, W., Lubitz, S. A., Luna, T. T., Ma, R. C. W., Marcus, G. M., Marrugat, J., Mattila, K. M., McCarroll, S., McCarthy, M. I., McCauley, J. L., McGovern, D., McPherson, R., Meigs, J. B., Melander, O., Metspalu, A., Meyers, D., Minikel, E. V., Mitchell, B. D., Mootha, V. K., Naheed, A., Nazarian, S., Nilsson, P. M., O’Donovan, M. C., Okada, Y., Ongur, D., Orozco, L., Owen, M. J., Palmer, C., Palmer, N. D., Palotie, A., Park, K. S., Pato, C., Pulver, A. E., Rader, D., Rahman, N., Reiner, A., Remes, A. M., Rhodes, D., Rich, S., Rioux, J. D., Ripatti, S., Roden, D. M., Rotter, J. I., Sahakian, N., Saleheen, D., Salomaa, V., Saltzman, A., Samani, N. J., Samocha, K. E., Sanchis-Juan, A., Scharf, J., Schleicher, M., Schunkert, H., Schönherr, S., Seaby, E. G., Shah, S. H., Shand, M., Sharpe, T., Shoemaker, M. B., Shyong, T., Silverman, E. K., Singer-Berk, M., Sklar, P., Smith, J. T., Smith, J. G., Soininen, H., Sokol, H., Son, R. G., Soto, J., Spector, T., Stevens, C., Stitziel, N. O., Sullivan, P. F., Suvisaari, J., Tai, E. S., Taylor, K. D., Teo, Y. Y., Tsuang, M., Tuomi, T., Turner, D., Tusie-Luna, T., Vartiainen, E., Vawter, M., Wang, L., Wang, A., Ware, J. S., Watkins, H., Weersma, R. K., Weisburd, B., Wessman, M., Whiffin, N., Wilson, J. G., Xavier, R. J., O’Donnell-Luria, A., Solomonson, M., Seed, C., Martin, A. R., Talkowski, M. E., Rehm, H. L., Daly, M. J., Tiao, G., Neale, B. M., MacArthur, D. G., & Karczewski, K. J.
- Affiliations
- Broad Institute (US)
- Lady Davis Institute for Medical Research (CA)
- University of Miami (US)
- Peninsula College of Medicine and Dentistry (GB)
- Brigham and Women's Hospital (US)
- University of Parma (IT)
- Albert Einstein College of Medicine (US)
- Cleveland Clinic (US)
- Sorbonne Université (FR)
- Boston University (US)
- University of Michigan (US)
- National Institutes of Health (US)
- Wake Forest University Health Sciences (US)
- University of Leicester (GB)
- Harvard University (US)
- Rutgers, The State University of New Jersey (US)
- Imperial College Healthcare NHS Trust (GB)
- Chinese University of Hong Kong (HK)
- Northwestern University (US)
- Icahn School of Medicine at Mount Sinai (US)
- University of Cambridge (GB)
- Columbia University Irving Medical Center (US)
- University of Mississippi Medical Center (US)
- Colorado School of Public Health (US)
- University of Illinois Chicago (US)
- Vanderbilt University Medical Center (US)
- Texas A&M University – San Antonio (US)
- University of Lübeck (DE)
- Victor Chang Cardiac Research Institute (AU)
- University of Helsinki (FI)
- Boston Children's Hospital (US)
- SUNY Upstate Medical University (US)
- University of Southern California (US)
- Washington University in St. Louis (US)
- The University of Texas Health Science Center at Houston (US)
- Columbia University (US)
- University of Eastern Finland (FI)
- Helsinki University Hospital (FI)
- Karolinska Institutet (SE)
- Korea National Institute of Health (KR)
- Cardiff University (GB)
- Finnish Institute for Health and Welfare (FI)
- Yale New Haven Hospital (US)
- Emory University (US)
- Seoul National University (KR)
- Yale University (US)
- Tampere University (FI)
- University of Copenhagen (DK)
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán (MX)
- University of California, San Francisco (US)
- Centro de Investigación en Red en Enfermedades Cardiovasculares (ES)
- Centre for Human Genetics (GB)
- Cedars-Sinai Medical Center (US)
- Ottawa Heart Institute (CA)
- Lund University (SE)
- University of Tartu (EE)
- University of Arizona (US)
- University of Maryland, Baltimore (US)
- International Centre for Diarrhoeal Disease Research (BD)
- Johns Hopkins University (US)
- Institute for Open and Transdisciplinary Research Initiatives (JP)
- National Institute of Genomic Medicine (MX)
- University of Dundee (GB)
- Children's Hospital of Philadelphia (US)
- Institute of Cancer Research (GB)
- University of Washington (US)
- Oulu University Hospital (FI)
- University of Virginia (US)
- Montreal Heart Institute (CA)
- The Lundquist Institute (US)
- Center for Non-Communicable Diseases (PK)
- Deutsches Herzzentrum München (DE)
- Innsbruck Medical University (AT)
- Duke University (US)
- Vanderbilt University (US)
- National University of Singapore (SG)
- Inserm (FR)
- King's College London (GB)
- University of North Carolina at Chapel Hill (US)
- University of California San Diego (US)
- Hebrew University of Jerusalem (IL)
- University of California, Irvine (US)
- University of Oxford (GB)
- University Medical Center Groningen (NL)
- Beth Israel Deaconess Medical Center (US)
- Corresponding author
- Chen, Siwei
- Karczewski, Konrad J.
- ORCID
- Chen, Siwei
- Francioli, Laurent C.
- Goodrich, Julia K.
- Collins, Ryan L.
- Kanai, Masahiro
- Wang, Qingbo
- Alföldi, Jessica
- Poterba, Timothy
- Wilson, Michael W.
- Phu, William
- Farjoun, Yossi
- Banks, Eric
- Donnelly, Stacey
- Gabriel, Stacey
- Gupta, Namrata
- Abreu, Maria
- Ahmad, Tariq
- Albert, Christine M.
- Ardissino, Diego
- Armean, Irina M.
- Atkinson, Elizabeth G.
- Atzmon, Gil
- Barnard, John
- Baxter, Samantha M.
- Beaugerie, Laurent
- Benjamin, Emelia J.
- Boehnke, Michael
- Bonnycastle, Lori L.
- Bowden, Donald W.
- Bown, Matthew J.
- Brand, Harrison
- Brant, Steven
- Calvo, Sarah E.
- Campos, Hannia
- Chambers, John C.
- Chan, Juliana C.
- Chao, Katherine R.
- Chapman, Sinéad
- Chasman, Daniel I.
- Chisholm, Rex
- Cho, Judy
- Chowdhury, Rajiv
- Chung, Mina K.
- Chung, Wendy K.
- Cibulskis, Kristian
- Cohen, Bruce
- Correa, Adolfo
- Cummings, Beryl B.
- Dabelea, Dana
- Danesh, John
- Darbar, Dawood
- Denny, Joshua
- Duggirala, Ravindranath
- Dupuis, Josée
- Ellinor, Patrick T.
- Erdmann, Jeanette
- Esko, Tõnu
- Evangelista, Emily
- Fatkin, Diane
- Fu, Jack
- Färkkilä, Martti
- Garimella, Kiran
- Getz, Gad
- Glahn, David C.
- Glatt, Stephen J.
- Goldstein, David
- Groop, Leif
- Gudmundsson, Sanna
- Haessly, Andrea
- Haiman, Christopher
- Hall, Ira
- Hanis, Craig L.
- Harms, Matthew
- Hiltunen, Mikko
- Holi, Matti M.
- Hultman, Christina M.
- Jalas, Chaim
- Kallela, Mikko
- Kaprio, Jaakko
- Kathiresan, Sekar
- Kenny, Eimear E.
- Kim, Bong-Jo
- Kim, Young Jin
- Kirov, George
- Kooner, Jaspal
- Koskinen, Seppo
- Krumholz, Harlan M.
- Kugathasan, Subra
- Kwak, Soo Heon
- Laakso, Markku
- Lake, Nicole
- Laricchia, Kristen M.
- Lehtimäki, Terho
- Lek, Monkol
- Loos, Ruth J. F.
- Lu, Wenhan
- Lubitz, Steven A.
- Marcus, Gregory M.
- Marrugat, Jaume
- McCarroll, Steven
- McCarthy, Mark I.
- McCauley, Jacob L.
- McGovern, Dermot
- McPherson, Ruth
- Meigs, James B.
- Melander, Olle
- Metspalu, Andres
- Meyers, Deborah
- Minikel, Eric V.
- Mitchell, Braxton D.
- Mootha, Vamsi K.
- Naheed, Aliya
- Nazarian, Saman
- Nilsson, Peter M.
- O’Donovan, Michael C.
- Okada, Yukinori
- Orozco, Lorena
- Owen, Michael J.
- Palotie, Aarno
- Park, Kyong Soo
- Pato, Carlos
- Pulver, Ann E.
- Rahman, Nazneen
- Reiner, Alex
- Rich, Stephen
- Rioux, John D.
- Ripatti, Samuli
- Roden, Dan M.
- Rotter, Jerome I.
- Saleheen, Danish
- Salomaa, Veikko
- Saltzman, Andrea
- Samani, Nilesh J.
- Samocha, Kaitlin E.
- Scharf, Jeremiah
- Schunkert, Heribert
- Schönherr, Sebastian
- Seaby, Eleanor G.
- Shah, Svati H.
- Shand, Megan
- Shoemaker, Moore B.
- Silverman, Edwin K.
- Sklar, Pamela
- Smith, Jonathan T.
- Soininen, Hilkka
- Sokol, Harry
- Son, Rachel G.
- Spector, Tim
- Stevens, Christine
- Stitziel, Nathan O.
- Sullivan, Patrick F.
- Suvisaari, Jaana
- Tai, E. Shyong
- Taylor, Kent D.
- Tsuang, Ming
- Turner, Dan
- Vartiainen, Erkki
- Vawter, Marquis
- Wang, Lily
- Ware, James S.
- Watkins, Hugh
- Weersma, Rinse K.
- Weisburd, Ben
- Whiffin, Nicola
- Wilson, James G.
- Xavier, Ramnik J.
- O’Donnell-Luria, Anne
- Solomonson, Matthew
- Martin, Alicia R.
- Talkowski, Michael E.
- Rehm, Heidi L.
- Daly, Mark J.
- Tiao, Grace
- Neale, Benjamin M.
- MacArthur, Daniel G.
- Karczewski, Konrad J.
- Venue
- Nature
- Published
- 2023-12-06
- Volume
- 625
- Issue
- 7993
- Pages
- 92-100
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC11629659
- OpenAlex
- W4389367121
- Cited by
- 1,727
- References
- 90
- Citations by year
- 2026: 520 · 2025: 642 · 2024: 442 · 2023: 121
- FWCI
- 286.54
- Type
- journal article
- Language
- en
- Update notices
- correction (2024-01-15)
- Open access
- green
- doi.org
- Licence
- Locations
- Nature (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, other-oa)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion)
- PubMed Central (acceptedVersion, other-oa)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Discovery Research Portal (University of Dundee) (submittedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- STM:n Hallinnonalan avoin julkaisuarkisto (Julkari) (submittedVersion)
- Funders
- Wellcome Trust (107469/Z/15/Z)
- National Institutes of Health
- Medical Research Council (MR/L010305/1)
- National Institute of Mental Health (R01MH115957)
- National Human Genome Research Institute (U24HG011450)
- National Institute of Diabetes and Digestive and Kidney Diseases (U54DK105566)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD081256)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Keywords
- purifying selection, non-coding DNA, regulatory elements, gnocchi, allele frequency, complex diseases, genetic variants, protein-coding genes, sequence context
- MeSH terms
- Chromosome Mapping, Gene Frequency, Humans, Models, Genetic, Mutation, Selection, Genetic, Genetic Variation, Genome, Human, Access to Information, Genomics, Databases, Genetic, Datasets as Topic
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.
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