The DOI matches its Crossref record; 104 of the 107 references it cites were found in a registry or an index.
The Genetic Basis of Mendelian Phenotypes: Discoveries, Challenges, and Opportunities
Open accessAbstract
Discovering the genetic basis of a Mendelian phenotype establishes a causal link between genotype and phenotype, making possible carrier and population screening and direct diagnosis. Such discoveries also contribute to our knowledge of gene function, gene regulation, development, and biological mechanisms that can be used for developing new therapeutics. As of February 2015, 2,937 genes underlying 4,163 Mendelian phenotypes have been discovered, but the genes underlying ∼50% (i.e., 3,152) of all known Mendelian phenotypes are still unknown, and many more Mendelian conditions have yet to be recognized. This is a formidable gap in biomedical knowledge. Accordingly, in December 2011, the NIH established the Centers for Mendelian Genomics (CMGs) to provide the collaborative framework and infrastructure necessary for undertaking large-scale whole-exome sequencing and discovery of the genetic variants responsible for Mendelian phenotypes. In partnership with 529 investigators from 261 institutions in 36 countries, the CMGs assessed 18,863 samples from 8,838 families representing 579 known and 470 novel Mendelian phenotypes as of January 2015. This collaborative effort has identified 956 genes, including 375 not previously associated with human health, that underlie a Mendelian phenotype. These results provide insight into study design and analytical strategies, identify novel mechanisms of disease, and reveal the extensive clinical variability of Mendelian phenotypes. Discovering the gene underlying every Mendelian phenotype will require tackling challenges such as worldwide ascertainment and phenotypic characterization of families affected by Mendelian conditions, improvement in sequencing and analytical techniques, and pervasive sharing of phenotypic and genomic data among researchers, clinicians, and families.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The text we found for this paper looks like another document, so the self-check wasn’t run.
Citations
Cites
Finding the missing heritability of complex diseases
Manolio, T. A., Collins, F. S., Cox, N. J., Goldstein, D. B., Hindorff, L. A., Hunter, D. J., McCarthy, M. I., Ramos, E. M., Cardon, L. R., Chakravarti, A., et al. (2009) · Nature · doi:10.1038/nature08494 · Cited by 8,336
Self-citationInitial sequencing and comparative analysis of the mouse genome
Mouse Genome Sequencing Consortium (2002) · Nature · doi:10.1038/nature01262 · Cited by 7,187
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
Self-citationA New Initiative on Precision Medicine
Collins, F. S., & Varmus, H. (2015) · New England Journal of Medicine · doi:10.1056/nejmp1500523 · Cited by 5,202
Update on Key Emerging Challenges in Cystic Fibrosis
Jennings, M. T., Riekert, K. A., & Boyle, M. (2014) · Medical Principles and Practice · doi:10.1159/000357646 · Cited by 3,671
Genomic responses in mouse models poorly mimic human inflammatory diseases
Seok, J., Warren, H. S., Cuenca, A. G., Mindrinos, M. N., Baker, H. V., Xu, W., Richards, D. R., McDonald-Smith, G. P., Gao, H., Hennessy, L., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1222878110 · Cited by 3,005
Miller, D. T., Adam, M. P., Aradhya, S., Biesecker, L. G., Brothman, A. R., Carter, N. P., Church, D. M., Crolla, J. A., Eichler, E. E., Epstein, C. J., et al. (2010) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.04.006 · Cited by 2,882
Self-citationAmberger, J. S., Bocchini, C. A., Schiettecatte, F., Scott, A. F., & Hamosh, A. (2015) · Nucleic Acids Research · doi:10.1093/nar/gku1205 · Cited by 2,691
Self-citationA CFTR Potentiator in Patients with Cystic Fibrosis and the G551D Mutation
Ramsey, B. W., Davies, J., McElvaney, N. G., Tullis, E., Bell, S. C., Dřevínek, P., Griese, M., McKone, E. F., Wainwright, C. E., Konstan, M. W., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1105185 · Cited by 2,195
Targeted capture and massively parallel sequencing of 12 human exomes
Ng, S. B., Turner, E. H., Robertson, P. D., Flygare, S. D., Bigham, A. W., Lee, C., Shaffer, T., Wong, M., Bhattacharjee, A., Eichler, E. E., et al. (2009) · Nature · doi:10.1038/nature08250 · Cited by 2,030
Self-citation
Cited by
Sorted by citations
The 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-citationAnalysis 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
The 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. (2019) · doi:10.1101/531210 · Cited by 1,662
Self-citationIntegrative omics for health and disease
Karczewski, K. J., & Snyder, M. P. (2018) · Nature Reviews Genetics · doi:10.1038/nrg.2018.4 · Cited by 1,158
Improving genetic diagnosis in Mendelian disease with transcriptome sequencing
Cummings, B. B., Marshall, J. L., Tukiainen, T., Lek, M., Donkervoort, S., Foley, A. R., Bolduc, V., Waddell, L. B., Sandaradura, S. A., O’Grady, G. L., et al. (2017) · Science Translational Medicine · doi:10.1126/scitranslmed.aal5209 · Cited by 831
The Human Phenotype Ontology in 2017
Köhler, S., Vasilevsky, N., Engelstad, M., Foster, E. D., McMurry, J. A., Aymé, S., Baynam, G. S., Bello, S. M., Boerkoel, C. F., Boycott, K. M., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw1039 · Cited by 767
Self-citationA brief history of human disease genetics
Claussnitzer, M., Cho, J. H., Collins, R., Cox, N. J., Dermitzakis, E. T., Hurles, M. E., Kathiresan, S., Kenny, E. E., Lindgren, C. M., MacArthur, D. G., et al. (2020) · Nature · doi:10.1038/s41586-019-1879-7 · Cited by 697
Self-citationNon-coding genetic variants in human disease: Figure 1.
Zhang, F., & Lupski, J. R. (2015) · Human Molecular Genetics · doi:10.1093/hmg/ddv259 · Cited by 619
Self-citationGenetic diagnosis of Mendelian disorders via RNA sequencing
Kremer, L. S., Bader, D. M., Mertes, C., Kopajtich, R., Pichler, G., Iuso, A., Haack, T. B., Graf, E., Schwarzmayr, T., Terrile, C., et al. (2017) · Nature Communications · doi:10.1038/ncomms15824 · Cited by 590
Strande, N. T., Riggs, E. R., Buchanan, A. H., Ceyhan‐Birsoy, O., DiStefano, M. T., Dwight, S. S., Goldstein, J., Ghosh, R., Seifert, B. A., Sneddon, T. P., et al. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.04.015 · Cited by 602
Self-citationDewey, F. E., Murray, M. F., Overton, J. D., Habegger, L., Leader, J. B., Fetterolf, S. N., O’Dushlaine, C. T., Hout, C. V. V., Staples, J. C., Gonzaga-Jauregui, C. G., et al. (2016) · Science · doi:10.1126/science.aaf6814 · Cited by 545
Ferreira, C. R. (2019) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.61124 · Cited by 545
International Cooperation to Enable the Diagnosis of All Rare Genetic Diseases
Boycott, K. M., Rath, A., Chong, J. X., Hartley, T., Alkuraya, F. S., Baynam, G., Brookes, A. J., Brudno, M., Carracedo, A., den Dunnen, J. T., et al. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.04.003 · Cited by 447
Self-citationNew insights into the generation and role of de novo mutations in health and disease
Acuña‐Hidalgo, R., Veltman, J. A., & Hoischen, A. (2016) · Genome biology · doi:10.1186/s13059-016-1110-1 · Cited by 474
Quantifying prion disease penetrance using large population control cohorts
Minikel, E. V., Vallabh, S. M., Lek, M., Estrada, K., Samocha, K. E., Sathirapongsasuti, J. F., McLean, C. Y., Tung, J. Y., Yu, L. P. C., Gambetti, P., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aad5169 · Cited by 442
Using high-resolution variant frequencies to empower clinical genome interpretation
Whiffin, N., Minikel, E., Walsh, R., O’Donnell-Luria, A. H., Karczewski, K., Ing, A. Y., Barton, P. J. R., Funke, B., Cook, S. A., MacArthur, D., et al. (2017) · Genetics in Medicine · doi:10.1038/gim.2017.26 · Cited by 441
Use of Exome Sequencing for Infants in Intensive Care Units
Meng, L., Pammi, M., Saronwala, A., Magoulas, P. L., Ghazi, A. R., Vetrini, F., Zhang, J., He, W., Dharmadhikari, A. V., Qu, C., et al. (2017) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2017.3438 · Cited by 429
Self-citationGenetics of Coronary Artery Disease
McPherson, R., & Tybjærg‐Hansen, A. (2016) · Circulation Research · doi:10.1161/circresaha.115.306566 · Cited by 384
Wright, C. F., McRae, J. F., Clayton, S., Gallone, G., Aitken, S., Fitzgerald, T. W., Jones, P., Prigmore, E., Rajan, D., Lord, J., et al. (2018) · Genetics in Medicine · doi:10.1038/gim.2017.246 · Cited by 343
Systematic reanalysis of clinical exome data yields additional diagnoses: implications for providers
Wenger, A. M., Guturu, H., Bernstein, J. A., & Bejerano, G. (2016) · Genetics in Medicine · doi:10.1038/gim.2016.88 · Cited by 333
Jackson, M., Marks, L., May, G. H. W., & Wilson, J. B. (2018) · Essays in Biochemistry · doi:10.1042/ebc20170053 · Cited by 295
Incomplete Penetrance and Variable Expressivity: From Clinical Studies to Population Cohorts
Kingdom, R., & Wright, C. F. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.920390 · Cited by 326
Health and population effects of rare gene knockouts in adult humans with related parents
Narasimhan, V. M., Hunt, K. A., Mason, D., Baker, C. L., Karczewski, K. J., Barnes, M. R., Barnett, A. H., Bates, C., Bellary, S., Bockett, N. A., et al. (2016) · Science · doi:10.1126/science.aac8624 · Cited by 286
Genomic diagnosis for children with intellectual disability and/or developmental delay
Bowling, K. M., Thompson, M. L., Amaral, M. D., Finnila, C. R., Hiatt, S. M., Engel, K. L., Cochran, J. N., Brothers, K. B., East, K. M., Gray, D. E., et al. (2017) · Genome Medicine · doi:10.1186/s13073-017-0433-1 · Cited by 284
Genomic Medicine–Progress, Pitfalls, and Promise
Shendure, J., Findlay, G. M., & Snyder, M. W. (2019) · Cell · doi:10.1016/j.cell.2019.02.003 · Cited by 263
Self-citationMarinko, J. T., Huang, H., Penn, W. D., Capra, J. A., Schlebach, J. P., & Sanders, C. R. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00532 · Cited by 257
Lessons learned from additional research analyses of unsolved clinical exome cases
Eldomery, M. K., Coban-Akdemir, Z., Harel, T., Rosenfeld, J. A., Gambin, T., Stray-Pedersen, A., Küry, S., Mercier, S., Lessel, D., Denecke, J., et al. (2017) · Genome Medicine · doi:10.1186/s13073-017-0412-6 · Cited by 230
Self-citationMutations in PADI6 Cause Female Infertility Characterized by Early Embryonic Arrest
Xu, Y., Shi, Y., Fu, J., Yu, M., Feng, R., Sang, Q., Liang, B., Chen, B., Qu, R., Li, B., et al. (2016) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2016.06.024 · Cited by 244
Torkamani, A., Andersen, K. G., Steinhubl, S. R., & Topol, E. J. (2017) · Cell · doi:10.1016/j.cell.2017.08.007 · Cited by 253
Mendelian Gene Discovery: Fast and Furious with No End in Sight
Bamshad, M. J., Nickerson, D. A., & Chong, J. X. (2019) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2019.07.011 · Cited by 253
Self-citationExpanding the Boundaries of RNA Sequencing as a Diagnostic Tool for Rare Mendelian Disease
Gonorazky, H. D., Naumenko, S., Ramani, A. K., Nelakuditi, V., Mashouri, P., Wang, P., Kao, D., Ohri, K., Viththiyapaskaran, S., Tarnopolsky, M. A., et al. (2019) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2019.01.012 · Cited by 245
Newborn Sequencing in Genomic Medicine and Public Health
Berg, J. S., Agrawal, P. B., Bailey, D. B., Beggs, A. H., Brenner, S. E., Brower, A., Cakici, J. A., Ceyhan‐Birsoy, O., Chan, K., Chen, F., et al. (2017) · PEDIATRICS · doi:10.1542/peds.2016-2252 · Cited by 236
Aneichyk, T., Hendriks, W. T. J., Yadav, R., Shin, D. S., Gao, D., Vaine, C. A., Collins, R. L., Domingo, A., Currall, B., Stortchevoi, A., et al. (2018) · Cell · doi:10.1016/j.cell.2018.02.011 · Cited by 236
Settling the score: variant prioritization and Mendelian disease
Eilbeck, K. L., Quinlan, A. R., & Yandell, M. D. (2017) · Nature Reviews Genetics · doi:10.1038/nrg.2017.52 · Cited by 230
Genetic Testing in Neurodevelopmental Disorders
Savatt, J. M., & Myers, S. M. (2021) · Frontiers in Pediatrics · doi:10.3389/fped.2021.526779 · Cited by 237
Model Organisms Facilitate Rare Disease Diagnosis and Therapeutic Research
Wangler, M. F., Yamamoto, S., Chao, H., Posey, J. E., Westerfield, M., Postlethwait, J. H., Members of the Undiagnosed Diseases Network (UDN), Hieter, P., Boycott, K. M., Campeau, P. M., et al. (2017) · Genetics · doi:10.1534/genetics.117.203067 · Cited by 217
Genetics of Combined Pituitary Hormone Deficiency: Roadmap into the Genome Era
Fang, Q., George, A. S., Brinkmeier, M. L., Mortensen, A. H., Gergics, P., Cheung, L., Daly, A. Z., Ajmal, A., Millan, M. I. P., Ozel, A. B., et al. (2016) · Endocrine Reviews · doi:10.1210/er.2016-1101 · Cited by 214
Suwinski, P., Ong, C. K., Ling, M. H., Poh, Y. M., Khan, A. M., & Ong, H. S. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00049 · Cited by 218
Rivera-Munoz, E. A., Milko, L. V., Harrison, S. M., Azzariti, D. R., Kurtz, C. L., Lee, K., Mester, J. L., Weaver, M. A., Currey, E., Craigen, W. J., et al. (2018) · Human Mutation · doi:10.1002/humu.23645 · Cited by 214
Wang, J., Al‐Ouran, R., Hu, Y., Kim, S., Wan, Y., Wangler, M. F., Yamamoto, S., Chao, H., Comjean, A., Mohr, S. E., et al. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.04.010 · Cited by 204
Expanding the Boundaries of RNA Sequencing as a Diagnostic Tool for Rare Mendelian Disease
Gonorazky, H. D., Naumenko, S., Ramani, A. K., Nelakuditi, V., Mashouri, P., Wang, P., Kao, D., Ohri, K., Viththiyapaskaran, S., Tarnopolsky, M. A., et al. (2019) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2019.04.004 · Cited by 201
Insights into genetics, human biology and disease gleaned from family based genomic studies
Posey, J. E., O’Donnell‐Luria, A., Chong, J. X., Harel, T., Jhangiani, S. N., Coban‐Akdemir, Z., Buyske, S. G., Pehli̇van, D., Carvalho, C. M. B., Baxter, S. M., et al. (2019) · Genetics in Medicine · doi:10.1038/s41436-018-0408-7 · Cited by 202
Self-citationBendl, J. M., Musil, M., Štourač, J., Zendulka, J., Damborský, J., & Brezovský, J. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004962 · Cited by 201
Functional Dysregulation of CDC42 Causes Diverse Developmental Phenotypes
Martinelli, S., Krumbach, O. H. F., Pantaleoni, F., Coppola, S., Amin, E., Pannone, L., Nouri, K., Farina, L., Dvorský, R., Lepri, F. R., et al. (2018) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.12.015 · Cited by 195
Self-citationEvaluating drug targets through human loss-of-function genetic variation
Minikel, E. V., Karczewski, K. J., Martin, H. C., Cummings, B. B., Whiffin, N., Rhodes, D., Alföldi, J., Trembath, R. C., van Heel, D. A., Daly, M. J., et al. (2020) · Nature · doi:10.1038/s41586-020-2267-z · Cited by 188
Nambot, S., Thévenon, J., Kuentz, P., Duffourd, Y., Tisserant, É., Bruel, A., Mosca‐Boidron, A., Masurel, A., Lehalle, D., Jean‐Marçais, N., et al. (2017) · Genetics in Medicine · doi:10.1038/gim.2017.162 · Cited by 197
The developmental biology of genetic Notch disorders
Mašek, J., & Andersson, E. R. (2017) · Development · doi:10.1242/dev.148007 · Cited by 183
Rare disease emerging as a global public health priority
Chung, C. C. Y., Hong Kong Genome Project, Chu, A. T.-W., & Chung, B. H. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.1028545 · Cited by 189
Genetic Modifiers and Rare Mendelian Disease
Rahit, K. M. T. H., & Tarailo‐Graovac, M. (2020) · Genes · doi:10.3390/genes11030239 · Cited by 187
Detection of aberrant gene expression events in RNA sequencing data
Yépez, V. A., Mertes, C., Müller, M., Klaproth-Andrade, D., Wachutka, L., Frésard, L., Gušić, M., Scheller, I. F., Goldberg, P. F., Prokisch, H., et al. (2021) · Nature Protocols · doi:10.1038/s41596-020-00462-5 · Cited by 163
Human genomics projects and precision medicine
Carrasco-Ramiro, F., Peiró‐Pastor, R., & Aguado, B. (2017) · Gene Therapy · doi:10.1038/gt.2017.77 · Cited by 169
Gasperini, M., Findlay, G. M., McKenna, A., Milbank, J. H., Lee, C., Zhang, M. D., Cusanovich, D. A., & Shendure, J. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.06.010 · Cited by 143
Self-citationPhenotypic expansion illuminates multilocus pathogenic variation
Karaca, E., Posey, J. E., Coban‐Akdemir, Z., Pehli̇van, D., Harel, T., Jhangiani, S. N., Bayram, Y., Song, X., Bahrambeigi, V., Yüreğir, Ö. Ö., et al. (2018) · Genetics in Medicine · doi:10.1038/gim.2018.33 · Cited by 147
Self-citationRapid whole genome sequencing has clinical utility in children in the PICU
Sanford, E. F., Clark, M. M., Farnaes, L., Williams, M. R., Perry, J. C., Ingulli, E. G., Sweeney, N. M., Doshi, A., Gold, J. J., Briggs, B., et al. (2019) · Pediatric Critical Care Medicine · doi:10.1097/pcc.0000000000002056 · Cited by 150
Chong, R., Insigne, K. D., Yao, D., Burghard, C. P., Wang, J., Hsiao, Y.-H. E., Jones, E. M., Goodman, D. B., Xiao, X., & Kosuri, S. (2019) · Molecular Cell · doi:10.1016/j.molcel.2018.10.037 · Cited by 130
Landscape of multi-nucleotide variants in 125,748 human exomes and 15,708 genomes
Wang, Q. S., Pierce‐Hoffman, E., Cummings, B. B., Alföldi, J., Francioli, L. C., Gauthier, L. D., Hill, A. J., O’Donnell‐Luria, A., Genome Aggregation Database Production Team, Armean, I. M., et al. (2020) · Nature Communications · doi:10.1038/s41467-019-12438-5 · Cited by 149
Johnson, B., Lowe, G., Fütterer, J. W., Lordkipanidzé, M., MacDonald, D., Simpson, M. A., Sánchez‐Guiu, I., Drake, S. L., Bem, D., Leo, V., et al. (2016) · Haematologica · doi:10.3324/haematol.2016.146316 · Cited by 145
Debunking Occam's razor: Diagnosing multiple genetic diseases in families by whole‐exome sequencing
Balcı, T. B., Hartley, T., Xi, Y., Dyment, D. A., Beaulieu, C. L., Bernier, F. P., Dupuis, L., Horvath, G. A., Mendoza‐Londono, R., Prasad, C., et al. (2017) · Clinical Genetics · doi:10.1111/cge.12987 · Cited by 141
Genomic medicine for kidney disease
Groopman, E., Rasouly, H. M., & Gharavi, A. G. (2018) · Nature Reviews Nephrology · doi:10.1038/nrneph.2017.167 · Cited by 142
Weisschuh, N., Obermaier, C. D., Battke, F., Bernd, A. S., Kuehlewein, L., Nasser, F., Zobor, D., Zrenner, E., Weber, E., Wissinger, B., et al. (2020) · Human Mutation · doi:10.1002/humu.24064 · Cited by 143
The genetic architecture of long QT syndrome: A critical reappraisal
Giudicessi, J. R., Wilde, A. A. M., & Ackerman, M. J. (2018) · Trends in Cardiovascular Medicine · doi:10.1016/j.tcm.2018.03.003 · Cited by 141
Evolving health care through personal genomics
Rehm, H. L. (2017) · Nature Reviews Genetics · doi:10.1038/nrg.2016.162 · Cited by 142
Casanova, J., & Abel, L. (2020) · Annual Review of Pathology Mechanisms of Disease · doi:10.1146/annurev-pathol-031920-101429 · Cited by 128
DOMINO: Using Machine Learning to Predict Genes Associated with Dominant Disorders
Quinodoz, M., Royer‐Bertrand, B., Cisarova, K. V., Gioia, S. A. D., Superti‐Furga, A., & Rivolta, C. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.09.001 · Cited by 133
The continuum of causality in human genetic disorders
Katsanis, N. (2016) · Genome biology · doi:10.1186/s13059-016-1107-9 · Cited by 126
Willsey, A. J., Morris, M. T., Wang, S., Willsey, H. R., Sun, N., Teerikorpi, N., Baum, T., Cagney, G., Bender, K. J., Desai, T. A., et al. (2018) · Cell · doi:10.1016/j.cell.2018.06.016 · Cited by 129
Self-citationHomozygous and hemizygous CNV detection from exome sequencing data in a Mendelian disease cohort
Gambin, T., Coban‐Akdemir, Z., Yuan, B., Gu, S., Chiang, T., Carvalho, C. M. B., Shaw, C. A., Jhangiani, S. N., Boone, P. M., Eldomery, M. K., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw1237 · Cited by 123
Self-citationHi-C Identifies Complex Genomic Rearrangements and TAD-Shuffling in Developmental Diseases
Melo, U. S., Schöpflin, R., Acuña‐Hidalgo, R., Mensah, M. A., Fischer‐Zirnsak, B., Holtgrewe, M., Klever, M.-K., Türkmen, S., Heinrich, V., Pluym, I. D., et al. (2020) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2020.04.016 · Cited by 123
Effective variant filtering and expected candidate variant yield in studies of rare human disease
Pedersen, B. S., Brown, J., Dashnow, H., Wallace, A. D., Velinder, M., Tristani‐Firouzi, M., Schiffman, J. D., Tvrdik, T., Mao, R., Best, D. H., et al. (2021) · npj Genomic Medicine · doi:10.1038/s41525-021-00227-3 · Cited by 121
RNA-Seq Perspectives to Improve Clinical Diagnosis
Marco-Puche, G., Lois, S., Benitez, J. J., & Triviño, J. C. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.01152 · Cited by 119
Phenotype-Specific Enrichment of Mendelian Disorder Genes near GWAS Regions across 62 Complex Traits
Freund, M. K., Burch, K. S., Shi, H., Mancuso, N., Kichaev, G., Garske, K. M., Pan, D. Z., Miao, Z., Mohlke, K. L., Laakso, M., et al. (2018) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2018.08.017 · Cited by 102
WNT Signaling Perturbations Underlie the Genetic Heterogeneity of Robinow Syndrome
White, J. J., Mazzeu, J. F., Coban‐Akdemir, Z., Bayram, Y., Bahrambeigi, V., Hoischen, A., van Bon, B. W. M., Gezdirici, A., Güleç, E. Y., Ramond, F., et al. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.10.002 · Cited by 111
Self-citationSmith, E. D., Radtke, K., Rossi, M., Shinde, D. N., Darabi, S., El‐Khechen, D., Powis, Z., Helbig, K. L., Waller, K., Grange, D. K., et al. (2017) · Human Mutation · doi:10.1002/humu.23183 · Cited by 110
Charng, W., Karaca, E., Coban‐Akdemir, Z., Gambin, T., Atik, M. M., Gu, S., Posey, J. E., Jhangiani, S. N., Muzny, D. M., Doddapaneni, H., et al. (2016) · BMC Medical Genomics · doi:10.1186/s12920-016-0208-3 · Cited by 114
Self-citationKnowledge base and mini-expert platform for the diagnosis of inborn errors of metabolism
Lee, J. J. Y., Wasserman, W. W., Hoffmann, G. F., van Karnebeek, C., & Blau, N. (2017) · Genetics in Medicine · doi:10.1038/gim.2017.108 · Cited by 109
Update on the Genetics of Idiopathic Hypogonadotropic Hypogonadism
Topaloglu, A. K. (2018) · Journal of Clinical Research in Pediatric Endocrinology · doi:10.4274/jcrpe.2017.s010 · Cited by 112
Liu, Z., Zhu, L., Roberts, R. A., & Tong, W. (2019) · Trends in Genetics · doi:10.1016/j.tig.2019.08.006 · Cited by 117
Smith, E. D., Blanco, K., Sajan, S. A., Hunter, J. M., Shinde, D. N., Wayburn, B., Rossi, M., Huang, J. C., Stevens, C. A., Muss, C., et al. (2019) · Genetics in Medicine · doi:10.1038/s41436-019-0477-2 · Cited by 107
Li, Q., Zhao, K., Bustamante, C. D., Ma, X., & Wong, W. H. (2019) · Genetics in Medicine · doi:10.1038/s41436-019-0439-8 · Cited by 106
Yoon, W. H., Sandoval, H., Nagarkar-Jaiswal, S., Jaiswal, M., Yamamoto, S., Haelterman, N. A. T., Putluri, N., Putluri, V., Sreekumar, A., Tos, T., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.11.038 · Cited by 104
Self-citationseqr : A web‐based analysis and collaboration tool for rare disease genomics
Pais, L. S., Snow, H., Weisburd, B., Zhang, S., Baxter, S. M., DiTroia, S. P., O’Heir, E., England, E. M., Chao, K. R., Lemire, G., et al. (2022) · Human Mutation · doi:10.1002/humu.24366 · Cited by 106
DIDA: A curated and annotated digenic diseases database
Gazzo, A. M., Daneels, D., Cilia, E., Bonduelle, M., Abramowicz, M., Dooren, S. V., Smits, G., & Lenaerts, T. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv1068 · Cited by 110
Human and mouse essentiality screens as a resource for disease gene discovery
Cacheiro, P., Muñoz‐Fuentes, V., Murray, S. A., Dickinson, M. E., Bućan, M., Nutter, L. M. J., Peterson, K. A., Haselimashhadi, H., Flenniken, A. M., Morgan, H., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-14284-2 · Cited by 111
Estimating the number of diseases – the concept of rare, ultra-rare, and hyper-rare
Smith, C. I. E., Bergman, P., & Hagey, D. W. (2022) · iScience · doi:10.1016/j.isci.2022.104698 · Cited by 115
Song, X., Beck, C. R., Du, R., Campbell, I. M., Coban‐Akdemir, Z., Gu, S., Breman, A. M., Stankiewicz, P., Ira, G., Shaw, C. A., et al. (2018) · Genome Research · doi:10.1101/gr.229401.117 · Cited by 102
Self-citationPredicting disease-causing variant combinations
Papadimitriou, S., Gazzo, A. M., Versbraegen, N., Nachtegael, C., Aerts, J. A., Moreau, Y., Dooren, S. V., Nowé, A., Smits, G., & Lenaerts, T. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1815601116 · Cited by 105
Genetic and environmental risk factors for chronic kidney disease
Obrador, G. T., Schultheiß, U. T., Kretzler, M., Langham, R. G., Nangaku, M., Pecoits‐Filho, R., Pollock, C. A., Rossert, J., Correa‐Rotter, R., Stenvinkel, P., et al. (2017) · Kidney International Supplements · doi:10.1016/j.kisu.2017.07.004 · Cited by 103
Vilarinho, S., Sarı, S., Mazzacuva, F., Bilgüvar, K., Esendağlı‐Yılmaz, G., Jain, D., Akyol, G., Dalgıç, B., Günel, M., Clayton, P. T., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1613228113 · Cited by 96
Self-citationCopy Number Variation Disorders
Shaikh, T. H. (2017) · Current Genetic Medicine Reports · doi:10.1007/s40142-017-0129-2 · Cited by 104
Chung, C. C. Y., Hue, S. P. Y., Ng, N. Y. T., Doong, P. H. L., Chu, A. T.-W., & Chung, B. H. (2023) · Genetics in Medicine · doi:10.1016/j.gim.2023.100896 · Cited by 99
Undiagnosed Diseases Network, Spillmann, R. C., McConkie‐Rosell, A., Peña, L., Jiang, Y., Schoch, K., Walley, N., Sanders, C., Sullivan, J. A., Hooper, S. R., et al. (2017) · Orphanet Journal of Rare Diseases · doi:10.1186/s13023-017-0623-3 · Cited by 91
Phenotypic expansion of TBX4 mutations to include acinar dysplasia of the lungs
Szafrański, P., Coban‐Akdemir, Z., Rupps, R., Grazioli, S., Wensley, D., Jhangiani, S. N., Popek, E. J., Lee, A. F., Lupski, J. R., Boerkoel, C. F., et al. (2016) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.37822 · Cited by 90
Self-citationUsing human genetics to improve safety assessment of therapeutics
Carss, K., Deaton, A. M., Río-Espínola, A. D., Diogo, D., Fielden, M. R., Kulkarni, D. A., Moggs, J. G., Newham, P., Nelson, M. R., Sistare, F. D., et al. (2022) · Nature Reviews Drug Discovery · doi:10.1038/s41573-022-00561-w · Cited by 90
Weghe, J. C. V. D., Rusterholz, T. D. S., Latour, B. L., Grout, M. E., Aldinger, K. A., Shaheen, R., Dempsey, J. C., Maddirevula, S., Cheng, Y.-H. H., Phelps, I. G., et al. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.05.010 · Cited by 84
Self-citationJolly, A., Bayram, Y., Turan, S., Aycan, Z., Tos, T., Abalı, Z. Y., Hacıhamdioğlu, B., Coban‐Akdemir, Z., Hijazi, H., Baş, S., et al. (2019) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2019-00248 · Cited by 84
Self-citationCapalbo, A., Poli, M., Riera‐Escamilla, A., Shukla, V., Høffding, M. K., Krausz, C. G., Hoffmann, E. R., & Simón, C. (2020) · Human Reproduction Update · doi:10.1093/humupd/dmaa044 · Cited by 85
Ranking of non-coding pathogenic variants and putative essential regions of the human genome
Wells, A. C., Heckerman, D. E., Torkamani, A., Li, Y., Sebat, J. L., Ren, B., Telenti, A., & di Iulio, J. (2019) · Nature Communications · doi:10.1038/s41467-019-13212-3 · Cited by 79
Clinically severe CACNA1A alleles affect synaptic function and neurodegeneration differentially
Luo, X., Rosenfeld, J. A., Yamamoto, S., Harel, T., Zuo, Z., Hall, M., Wierenga, K. J., Pastore, M., Bartholomew, D., Delgado, M. R., et al. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1006905 · Cited by 80
Self-citationGenomic approaches for understanding the genetics of complex diseasePreprint
Lowe, W. L., & Reddy, T. E. (2015) · Genome Research · doi:10.1101/gr.190603.115 · Cited by 86
Clinical utility of genomic analysis in adults with idiopathic liver disease
Hakim, A., Zhang, X., DeLisle, A., Oral, E. A., Dykas, D., Drzewiecki, K., Assis, D. N., Silveira, M., Batisti, J., Jain, D., et al. (2019) · Journal of Hepatology · doi:10.1016/j.jhep.2019.01.036 · Cited by 81
Metadata
- Authors
- Chong, J. X., Buckingham, K. J., Jhangiani, S. N., Boehm, C., Sobreira, N., Smith, J. D., Harrell, T. M., McMillin, M. J., Wiszniewski, W., Gambin, T., Coban Akdemir, Z. H., Doheny, K., Scott, A. F., Avramopoulos, D., Chakravarti, A., Hoover-Fong, J., Mathews, D., Witmer, P. D., Ling, H., Hetrick, K., Watkins, L., Patterson, K. E., Reinier, F., Blue, E., Muzny, D., Kircher, M., Bilguvar, K., López-Giráldez, F., Sutton, V. R., Tabor, H. K., Leal, S. M., Gunel, M., Mane, S., Gibbs, R. A., Boerwinkle, E., Hamosh, A., Shendure, J., Lupski, J. R., Lifton, R. P., Valle, D., Nickerson, D. A., & Bamshad, M. J.
- Affiliations
- University of Washington (US)
- Baylor College of Medicine (US)
- Johns Hopkins University (US)
- Yale University (US)
- Howard Hughes Medical Institute (US)
- Seattle Children's Hospital (US)
- Corresponding author
- Bamshad, Michael J.
- ORCID
- Chong, Jessica X.
- Buckingham, Kati J.
- Jhangiani, Shalini N.
- Sobreira, Nara
- Smith, Joshua D.
- Wiszniewski, Wojciech
- Gambin, Tomasz
- Doheny, Kimberly
- Scott, Alan F.
- Chakravarti, Aravinda
- Hoover-Fong, Julie
- Mathews, Debra
- Witmer, P. Dane
- Hetrick, Kurt
- Patterson, Karynne E.
- Blue, Elizabeth
- Muzny, Donna
- Kircher, Martin
- Sutton, V. Reid
- Tabor, Holly K.
- Leal, Suzanne M.
- Mane, Shrikant
- Gibbs, Richard A.
- Boerwinkle, Eric
- Hamosh, Ada
- Shendure, Jay
- Lupski, James R.
- Lifton, Richard P.
- Valle, David
- Nickerson, Deborah A.
- Bamshad, Michael J.
- Venue
- The American Journal of Human Genetics
- Publisher
- Elsevier BV
- Published
- 2015-08
- Volume
- 97
- Issue
- 2
- Pages
- 199-215
- ISSN
- 0002-9297 (ISSN-L)
- PMC
- PMC4573249
- OpenAlex
- W1701211704
- Cited by
- 643
- References
- 107
- Citations by year
- 2026: 16 · 2025: 18 · 2024: 33 · 2023: 38 · 2022: 59 · 2021: 70 · 2020: 72 · 2019: 90 · 2018: 84 · 2017: 83 · 2016: 67 · 2015: 11
- FWCI
- 10.39
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- The American Journal of Human Genetics (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Howard Hughes Medical Institute
- National Human Genome Research Institute (HG006493, U54HG006504, U54HG006542, UM1HG006504, HG006504, U54HG006493, UM1HG006542, HG006542, UM1HG006493)
- 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 › Connective tissue disorders research
- Keywords
- genetic basis of disease, exome sequencing, gene discovery, carrier screening, mass screening, phenotypic variability, data sharing, gene function
- MeSH terms
- Genetics, Medical, Humans, Phenotype, Proteins, Genetic Diseases, Inborn
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