Coordinated Effects of Sequence Variation on DNA Binding, Chromatin Structure, and Transcription
Abstract
DNA Differences: The extent to which genetic variation affects an individual's phenotype has been difficult to predict because the majority of variation lies outside the coding regions of genes. Now, three studies examine the extent to which genetic variation affects the chromatin of individuals with diverse ancestry and genetic variation (see the Perspective by Furey and Sethupathy ). Kasowski et al. (p. 750 , published online 17 October) examined how genetic variation affects differences in chromatin states and their correlation to histone modifications, as well as more general DNA binding factors. Kilpinen et al. (p. 744 , published online 17 October) document how genetic variation is linked to allelic specificity in transcription factor binding, histone modifications, and transcription. McVicker et al. (p. 747 , published online 17 October) identified how quantitative trait loci affect histone modifications in Yoruban individuals and established which specific transcription factors affect such modifications.
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
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The locations and sequence content of enhancers provide insights into how non-coding genetic variation may affect gene expression and cellular phenotypes.
“Furthermore, the locations and sequence content of enhancers provide insights into how non-coding genetic variation may affect gene expression and cellular phenotypes (32, 36–38).”
From An environment-dependent transcriptional network specifies human microglia identity (2017) · cites this paper as [38]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
A map of human genome variation from population-scale sequencing.
The 1000 Genomes Project Consortium (2010) · Nature · doi:10.1038/nature09534 · Cited by 7,877 · see citing works
An integrated map of genetic variation from 1,092 human genomes
The 1000 Genomes Project Consortium (2012) · Nature · doi:10.1038/nature11632 · Cited by 7,711 · see citing works
Mapping cis- and trans-regulatory effects across multiple tissues in twins
The Multiple Tissue Human Expression Resource (MuTHER) Consortium, Grundberg, E., Small, K. S., Hedman, Å. K., Nica, A. C., Buil, A., Keildson, S., Bell, J. T., Yang, T.-P., Meduri, E., et al. (2012) · Nature Genetics · doi:10.1038/ng.2394 · Cited by 729 · see citing works
Self-citationThe evolution of hierarchical gene regulatory networks
Erwin, D. H., & Davidson, E. H. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2499 · Cited by 454 · see citing works
Passive and active DNA methylation and the interplay with genetic variation in gene regulation
Gutierrez-Arcelus, M., Lappalainen, T., Montgomery, S. B., Buil, A., Ongen, H., Yurovsky, A., Bryois, J., Giger, T., Romano, L., Planchon, A., et al. (2013) · eLife · doi:10.7554/elife.00523 · Cited by 440 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 33
- [1]Bernstein BE An integrated encyclopedia of DNA elements in the human genome Nature 489 57 2012 22955616 PMC3439153
- [2]Montgomery SB Transcriptome genetics using second generation sequencing in a Caucasian population Nature 464 773 2010 20220756 PMC3836232
- [4]McDaniell R Heritable individual-specific and allele-specific chromatin signatures in humans Science (New York, N.Y 328 235 2010 PMC2929018 20299549
- [6]Reddy TE Effects of sequence variation on differential allelic transcription factor occupancy and gene expression Genome research 22 860 2012 22300769 PMC3337432
- [7]Lappalainen T Transcriptome and genome sequencing uncovers functional variation in humans Nature, in press PMC3918453 24037378
- [8]Henikoff S Shilatifard A Histone modification: cause or cog? Trends Genet 27 389 2011 21764166
- [9]Kasowski M Variation in transcription factor binding among humans Science (New York, N.Y 328 232 2010 PMC2938768 20299548
- [10]Maurano MT Wang H Kutyavin T Stamatoyannopoulos JA Widespread site-dependent buffering of human regulatory polymorphism PLoS genetics 8 e1002599 2012 22457641 PMC3310774
- [11]Spivakov M Analysis of variation at transcription factor binding sites in Drosophila and humans Genome Biol 13 R49 2012 22950968 PMC3491393
- [12]Core LJ Waterfall JJ Lis JT Nascent RNA sequencing reveals widespread pausing and divergent initiation at human promoters Science (New York, N.Y 322 1845 2008 PMC2833333 19056941
- [13]Degner JF DNase I sensitivity QTLs are a major determinant of human expression variation Nature 482 390 2012 22307276 PMC3501342
- [15]Hobert O Maintaining a memory by transcriptional autoregulation Curr Biol 21 R146 2011 21334290
- [16]Ptashne M On the use of the word ‘epigenetic’ Curr Biol 17 R233 2007 17407749
- [17]Lin CY Transcriptional amplification in tumor cells with elevated c-Myc Cell 151 56 2012 23021215 PMC3462372
- [18]Nie Z c-Myc Is a Universal Amplifier of Expressed Genes in Lymphocytes and Embryonic Stem Cells Cell 151 68 2012 23021216 PMC3471363
- [19]Wang D Reprogramming transcription by distinct classes of enhancers functionally defined by eRNA Nature 474 390 2011 21572438 PMC3117022
- [21]Doege CA Early-stage epigenetic modification during somatic cell reprogramming by Parp1 and Tet2 Nature 488 652 2012 22902501 PMC5176099
- [22]Margueron R Reinberg D Chromatin structure and the inheritance of epigenetic information Nat Rev Genet 11 285 2010 20300089 PMC3760772
- [24]Muller N Girard P Hacker DL Jordan M Wurm FM Orbital shaker technology for the cultivation of mammalian cells in suspension Biotechnology and bioengineering 89 400 2005 15619325
- [25]Canella D Praz V Reina JH Cousin P Hernandez N Defining the RNA polymerase III transcriptome: Genome-wide localization of the RNA polymerase III transcription machinery in human cells Genome research 20 710 2010 20413673 PMC2877568
- [26]Schramm L Pendergrast PS Sun Y Hernandez N Different human TFIIIB activities direct RNA polymerase III transcription from TATA-containing and TATA-less promoters Genes Dev 14 2650 2000 11040218 PMC316990
- [27]O’Geen H Nicolet CM Blahnik K Green R Farnham PJ Comparison of sample preparation methods for ChIP-chip assays Biotechniques 41 577 2006 17140114 PMC2268903
- [28]DePristo MA A framework for variation discovery and genotyping using next-generation DNA sequencing data Nature genetics 43 491 2011 21478889 PMC3083463
- [29]McKenna A The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data Genome research 20 1297 2010 20644199 PMC2928508
- [30]Lander ES Initial sequencing and analysis of the human genome Nature 409 860 2001 11237011
- [31]Li H Durbin R Fast and accurate long-read alignment with Burrows-Wheeler transform Bioinformatics 26 589 2010 20080505 PMC2828108
- [32]Li H The Sequence Alignment/Map format and SAMtools Bioinformatics 25 2078 2009 19505943 PMC2723002
- [33]Harrow J GENCODE: producing a reference annotation for ENCODE Genome Biol 7 Suppl 1 S4 1 2006 16925838 PMC1810553
- [34]Heinz S Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities Mol Cell 38 576 2010 20513432 PMC2898526
- [35]Song Q Smith AD Identifying dispersed epigenomic domains from ChIP-Seq data Bioinformatics 27 870 2011 21325299 PMC3051331
- [36]Pickrell JK Gaffney DJ Gilad Y Pritchard JK False positive peaks in ChIP-seq and other sequencing-based functional assays caused by unannotated high copy number regions Bioinformatics 27 2144 2011 21690102 PMC3137225
- [38]Wang J Sequence features and chromatin structure around the genomic regions bound by 119 human transcription factors Genome research 22 1798 2012 22955990 PMC3431495
- [39]Orphanides G Lagrange T Reinberg D The general transcription factors of RNA polymerase II Genes Dev 10 2657 1996 8946909
Cited by
Sorted by citations
Function and information content of DNA methylation
Schübeler, D. (2015) · Nature · doi:10.1038/nature14192 · Cited by 2,060 · see citing works
Chromatin architecture reorganization during stem cell differentiation
Dixon, J. R., Jung, I., Selvaraj, S., Shen, Y., Antosiewicz-Bourget, J. E., Lee, A. Y., Ye, Z., Kim, A., Rajagopal, N., Xie, W., et al. (2015) · Nature · doi:10.1038/nature14222 · Cited by 1,646 · see citing works
An environment-dependent transcriptional network specifies human microglia identity
Gosselin, D., Skola, D., Coufal, N. G., Holtman, I. R., Schlachetzki, J. C. M., Sajti, E., Jaeger, B. N., O’Connor, C., Fitzpatrick, C., Pasillas, M. P., et al. (2017) · Science · doi:10.1126/science.aal3222 · Cited by 1,220 · see citing works
The role of regulatory variation in complex traits and disease
Albert, F. W., & Kruglyak, L. (2015) · Nature Reviews Genetics · doi:10.1038/nrg3891 · Cited by 1,047 · see citing works
The selection and function of cell type-specific enhancers
Heinz, S., Romanoski, C. E., Benner, C., & Glass, C. K. (2015) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3949 · Cited by 1,010 · see citing works
Systems genetics approaches to understand complex traits
Civelek, M., & Lusis, A. J. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3575 · Cited by 621 · see citing works
Gusev, A., Mancuso, N., Won, H., Kousi, M., Finucane, H. K., Reshef, Y., Song, L., Safi, A., Schizophrenia Working Group of the Psychiatric Genomics Consortium, McCarroll, S., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0092-1 · Cited by 491 · see citing works
Deans, C., & Maggert, K. A. (2015) · Genetics · doi:10.1534/genetics.114.173492 · Cited by 554 · see citing works
The Genetics of Transcription Factor DNA Binding Variation
Deplancke, B., Alpern, D., & Gardeux, V. (2016) · Cell · doi:10.1016/j.cell.2016.07.012 · Cited by 390 · see citing works
Self-citationTeh, A. L., Pan, H., Chen, L., Ong, M.-L., Dogra, S., Wong, J., MacIsaac, J. L., Mah, S. M., McEwen, L. M., Saw, S.-M., et al. (2014) · Genome Research · doi:10.1101/gr.171439.113 · Cited by 352 · see citing works
Genetic Control of Chromatin States in Humans Involves Local and Distal Chromosomal Interactions
Grubert, F., Zaugg, J. B., Kasowski, M., Ursu, O., Spacek, D. V., Martin, A. R., Greenside, P., Srivas, R., Phanstiel, D. H., Pekowska, A., et al. (2015) · Cell · doi:10.1016/j.cell.2015.07.048 · Cited by 319 · see citing works
Efficient search, mapping, and optimization of multi-protein genetic systems in diverse bacteria
Farasat, I., Kushwaha, M., Collens, J., Easterbrook, M., Guido, M., & Salis, H. M. (2014) · Molecular Systems Biology · doi:10.15252/msb.20134955 · Cited by 235 · see citing works
Population Variation and Genetic Control of Modular Chromatin Architecture in Humans
Waszak, S. M., Delaneau, O., Gschwind, A. R., Kilpinen, H., Raghav, S. K., Witwicki, R. M., Orioli, A., Wiederkehr, M., Panousis, N. I., Yurovsky, A., et al. (2015) · Cell · doi:10.1016/j.cell.2015.08.001 · Cited by 214 · see citing works
Self-citationGenetic determinants of co-accessible chromatin regions in activated T cells across humans
Gate, R. E., Cheng, C. S., Aiden, A. P., Siba, A., Tabaka, M., Lituiev, D., Machol, I., Gordon, M. G., Subramaniam, M., Shamim, M., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0156-2 · Cited by 181 · see citing works
Precise modulation of transcription factor levels identifies features underlying dosage sensitivity
Naqvi, S., Kim, S., Hoskens, H., Matthews, H. S., Spritz, R. A., Klein, O. D., Hallgrímsson, B., Swigut, T., Claes, P., Pritchard, J. K., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01366-2 · Cited by 132 · see citing works
Chromosomal contacts connect loci associated with autism, BMI and head circumference phenotypes
2p15 Consortium, Loviglio, M. N., 16p11.2 Consortium, Leleu, M., Männik, K., Passeggeri, M., Giannuzzi, G., van der Werf, I., Waszak, S. M., Zazhytska, M., et al. (2017) · Molecular Psychiatry · doi:10.1038/mp.2016.84 · Cited by 118 · see citing works
Self-citationVockley, C. M., Guo, C., Majoros, W. H., Nodzenski, M., Scholtens, D. M., Hayes, M. G., Lowe, W. L., & Reddy, T. E. (2015) · Genome Research · doi:10.1101/gr.190090.115 · Cited by 99 · see citing works
Sungalee, S., Liu, Y., Lambuta, R. A., Katanayeva, N., Donaldson Collier, M., Tavernari, D., Roulland, S., Ciriello, G., & Oricchio, E. (2021) · Nature Genetics · doi:10.1038/s41588-021-00842-x · Cited by 70 · see citing works
Sensitive detection of chromatin-altering polymorphisms reveals autoimmune disease mechanisms
del Rosario, R. C.-H., Poschmann, J., Rouam, S. L., Png, E., Khor, C. C., Hibberd, M. L., & Prabhakar, S. (2015) · Nature Methods · doi:10.1038/nmeth.3326 · Cited by 58 · see citing works
- Authors
- Kilpinen, H., Waszak, S. M., Gschwind, A. R., Raghav, S. K., Witwicki, R. M., Orioli, A., Migliavacca, E., Wiederkehr, M., Gutierrez-Arcelus, M., Panousis, N. I., Yurovsky, A., Lappalainen, T., Romano-Palumbo, L., Planchon, A., Bielser, D., Bryois, J., Padioleau, I., Udin, G., Thurnheer, S., Hacker, D., Core, L. J., Lis, J. T., Hernandez, N., Reymond, A., Deplancke, B., & Dermitzakis, E. T.
- Affiliations
- Department of Genetic Medicine and Development, University of Geneva Medical School, 1211 Geneva, Switzerland.
- Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland.
- Laboratory of Systems Biology and Genetics, Institute of Bioengineering, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), 1015 Lausanne, Switzerland.
- Center for Integrative Genomics, Faculty of Biology and Medicine, University of Lausanne, 1011 Lausanne, Switzerland.
- Protein Expression Core Facility, School of Life Sciences, Swiss Federal Institute of Technology (EPFL), 1015 Lausanne, Switzerland.
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14850, USA.
- Venue
- Science
- Published
- 2013-11-08
- Volume
- 342
- Issue
- 6159
- Pages
- 744-747
- ISSN
- 0036-8075
- 1095-9203
- PMC
- PMC5502466
- Cited by
- 350
- References
- 5
- Language
- en
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