Systematic localization of common disease-associated variation in regulatory DNA.
- Authors
- Maurano, Matthew T; Humbert, Richard; Rynes, Eric; Thurman, Robert E; Haugen, Eric; Wang, Hao; Reynolds, Alex P; Sandstrom, Richard; Qu, Hongzhu; Brody, Jennifer; Shafer, Anthony; Neri, Fidencio; Lee, Kristen; Kutyavin, Tanya; Stehling-Sun, Sandra; Johnson, Audra K; Canfield, Theresa K; Giste, Erika; Diegel, Morgan; Bates, Daniel; Hansen, R Scott; Neph, Shane; Sabo, Peter J; Heimfeld, Shelly; Raubitschek, Antony; Ziegler, Steven; Cotsapas, Chris; Sotoodehnia, Nona; Glass, Ian; Sunyaev, Shamil R; Kaul, Rajinder; Stamatoyannopoulos, John A
- Year
- 2012
- Journal
- Science (New York, N.Y.)
- PMID
- 22955828
- DOI
- 10.1126/science.1222794
- PMCID
- PMC3771521
Genome-wide association studies have identified many noncoding variants associated with common diseases and traits. We show that these variants are concentrated in regulatory DNA marked by deoxyribonuclease I (DNase I) hypersensitive sites (DHSs). Eighty-eight percent of such DHSs are active during fetal development and are enriched in variants associated with gestational exposure-related phenotypes. We identified distant gene targets for hundreds of variant-containing DHSs that may explain phenotype associations. Disease-associated variants systematically perturb transcription factor recognition sequences, frequently alter allelic chromatin states, and form regulatory networks. We also demonstrated tissue-selective enrichment of more weakly disease-associated variants within DHSs and the de novo identification of pathogenic cell types for Crohn's disease, multiple sclerosis, and an electrocardiogram trait, without prior knowledge of physiological mechanisms. Our results suggest pervasive involvement of regulatory DNA variation in common human disease and provide pathogenic insights into diverse disorders.
Disease-associated variation is concentrated in DNase I hypersensitive sites(A) Proportions of noncoding GWAS SNPs localizing within DHSs (green); in complete linkage disequilibrium (r2 = 1) with a SNP in a DHS (blue); or neither (yellow). Note that 76.5% of GWAS SNPs are either within or in perfect LD with DHSs. (B) Proportions of GWAS SNPs overlapping DHSs after partitioning by degree of replication. (C) Representative DNase I hypersensitivity (tag density) patterns at diverse disease-associated variants. (D) Proportion of GWAS SNPs localizing in DHSs active in fetal tissues that persist in adult cells (salmon); fetal stage-specific DHSs (red); and adult stage DHSs (green). (E) GWAS SNPs in DHSs show phenotype-specific enrichment for fetal regulatory elements.
Candidate regulatory roles for GWAS SNPs(A) GWAS variant associated with platelet count is connected with the JAK2 gene (myeloproliferative disorders) 222 kb away. Below, ChlA-PET tags (36) validate direct chromatin interactions between this DHS and the JAK2 promoter; red tags demonstrate an interaction between these DHSs. (B) Proportion of DHSs harboring GWAS variants that can be linked to target promoters at the indicated distance. (C) Examples of allele-specific DNase I sensitivity in cell types derived from heterozygous individuals for GWAS variants that alter TF recognition motifs within DHSs (also see table S9). Each cell type track shows DNase I cleavage density scaled by allelic imbalance at the GWAS variant and colored by variant nucleotide (blue = C, green = A, yellow = G, red = T). Total reads from each allele are also shown.
Common disease-associated variants cluster in regulatory pathways(A) SNPs in DHSs associated with diabetes (Type I and Type II), diabetic complications, and glucose homeostasis localize in recognition sites of transcriptional regulators (labeled ellipses) controlling glucose transport, glycolysis, and beta cell function that are structurally disrupted in the Mendelian phenotypes of maturity-onset diabetes of the young (MODY). Chromosome of each SNP associated with the indicated phenotype is listed (see table S2). (B) 24.4% of SNPs associated with autoimmune disorders that fall within DHSs localize in recognition sequences of TFs that interact with IRF9. Arrows indicate directionality of relationship, dotted lines represent indirect interactions (12). The complete network is shown in fig. S10.
Common disease networksGWAS SNPs from related diseases repeatedly perturb recognition sequences of common transcription factors. Shown are factors whose recognition sequences harbor β₯8 or β₯6 GWAS SNPs in inflammatory/autoimmune diseases (A) and cancer (B), respectively. Edge thickness represents number of associations between TF and disease in DHSs in relevant tissues. Both networks are significantly enriched for overlap with disease-relevant GWAS SNPs, and include many well-studied regulators.
Identification of pathogenic cell typesGWAS SNPs are systematically enriched in the regulatory DNA of disease-specific cell types throughout the full range of significance. Shown are SNPs tested for association with the autoimmune disorders Crohnβs disease (A), multiple sclerosis (B) and QRS duration (C).
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| 20 | Discussion | genetic association studies that condition on the regulatory DNA of a known or hypothesized target⦠|
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| Novel insight of critical genes involved in breast cancer brain metastasis: evidence from a cross-tissue transcriptome association study and validation through external clinical cohorts. | Liu J et al. | β | 2025 | β |
| Novel susceptibility genes for sleep apnea revealed by a cross-tissue transcriptome-wide association study. | Meng L et al. | β | 2025 | β |
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| RatXcan: A framework for cross-species integration of genome-wide association and gene expression data. | Santhanam N et al. | β | 2025 | β |
| Reactivation of developmentally silenced globin genes through forced linear recruitment of remote enhancers. | Felder AK et al. | β | 2025 | β |
| Refining the resolution of the yeast genotype-phenotype map using single-cell RNA-sequencing. | N'Guessan A et al. | β | 2025 | β |
| Regulatory element map of sheep reproductive tissues: functional annotation of tissue-specific strong active enhancers. | Meng Z et al. | β | 2025 | β |
| Rethinking GWAS: how lessons from genetic screens and artificial intelligence could reveal biological mechanisms. | Hazelett DJ | β | 2025 | β |
| Rewriting regulatory DNA to dissect and reprogram gene expression. | Martyn GE et al. | β | 2025 | β |
| RMVar 2.0: an updated database of functional variants in RNA modifications. | Huang Y et al. | β | 2025 | β |
| scMultiMap: Cell-type-specific mapping of enhancers and target genes from single-cell multimodal data. | Su C et al. | β | 2025 | β |
| SCRIPT: Predicting Single-Cell Long-Range Cis-Regulation Based on Pretrained Graph Attention Networks. | Zhang Y et al. | β | 2025 | β |
| Single-cell eQTL analysis identifies genetic variation underlying metabolic dysfunction-associated steatohepatitis. | Hong SE et al. | β | 2025 | β |
| Single-cell eQTL mapping reveals cell-type-specific genes associated with the risk of gastric cancer. | Bian L et al. | β | 2025 | β |
| Single-cell multiomic analysis unveils the immune landscape dynamics of graves' ophthalmopathy. | Ke S et al. | β | 2025 | β |
| Single-cell multi-omics analysis reveals cancer regulatory elements of transcriptional programs and clinical implications. | Tang X et al. | β | 2025 | β |
| Single-nucleus chromatin accessibility profiling identifies cell types and functional variants contributing to major depression. | Chawla A et al. | β | 2025 | β |
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| Splicing QTL mapping in stimulated macrophages associates low-usage splice junctions with immune-mediated disease risk. | El Garwany O et al. | β | 2025 | β |
| Statistical framework for calling allelic imbalance in high-throughput sequencing data. | Buyan A et al. | β | 2025 | β |
| Structural framework to address variant-gene relationship in primary open-angle glaucoma. | Singh N et al. | β | 2025 | β |
| Structure of a polymorphic repeat at the <i>CACNA1C</i> schizophrenia locus. | Moya R et al. | β | 2025 | β |
| Synergistic and antagonistic activities of IRF8 and FOS enhancer pairs during an immune-cell fate switch. | Klonizakis A et al. | β | 2025 | β |
| Systematic druggable genome-wide Mendelian randomization identifies therapeutic targets for calcium pyrophosphate deposition disease. | Zhang RP et al. | β | 2025 | β |
| Systems genetics reveals the influence of expression QTLs in mouse embryonic stem cells on transcriptional variation later in differentiated neural progenitor cells. | Aydin S et al. | β | 2025 | β |
| TFBSFootprinter: a multiomics tool for prediction of transcription factor binding sites in vertebrate species. | Barker HR et al. | β | 2025 | β |
| The combinatorial binding syntax of transcription factors in forebrain-specific enhancers. | Batool F et al. | β | 2025 | β |
| The effects of aquaporin-4 polymorphisms on glymphatic function and motor symptoms in Parkinson's disease. | Qin J et al. | β | 2025 | β |
| The evaluation of targeted exome sequencing of candidate genes in a Han Chinese population with primary open-angle glaucoma. | Zhou Y et al. | β | 2025 | β |
| The genetics of gout: translation into clinical practice. | Merriman TR et al. | β | 2025 | β |
| The identification of blood-derived response eQTLs reveals complex effects of regulatory variants on inflammatory and infectious disease risk. | Liefferinckx C et al. | β | 2025 | β |
| The Relevance of G-Quadruplexes in Gene Promoters and the First Introns Associated with Transcriptional Regulation in Breast Cancer. | Shu H et al. | β | 2025 | β |
| The role of lncRNA SNHG15 in UV-induced DNA damage repair. | Zhang X et al. | β | 2025 | β |
| The Single Nucleotide Substitution T β A rs2072580 Damages the CREB1 Binding Site in the Bidirectional <i>SART3</i>/<i>ISCU</i> Promoter. | Degtyareva A et al. | β | 2025 | β |
| Transcriptional enhancers in human neuronal differentiation provide clues to neuronal disorders. | Yoshihara M et al. | β | 2025 | β |
| Transcription Factor-Wide Association Studies to Identify Functional SNPs in Alzheimer's Disease. | Dunn J et al. | β | 2025 | β |
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| Using omics data and genome editing methods to decipher GWAS loci associated with coronary artery disease. | Chignon A et al. | β | 2025 | β |
| Variants of the Progesterone Receptor Gene as Modulators of Risk for Idiopathic Spontaneous Premature Birth. | Kadivnik M et al. | β | 2025 | β |
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| Enhanced osteogenic potential of iPSC-derived mesenchymal progenitor cells following genome editing of GWAS variants in the RUNX1 gene. | Khan NM et al. | β | 2024 | β |
| Epigenetics in Knee Osteoarthritis: A 2020-2023 Update Systematic Review. | Caldo D et al. | β | 2024 | β |
| Epigenetic targets of Janus kinase inhibitors are linked to genetic risks of rheumatoid arthritis. | Tsuchiya H et al. | β | 2024 | β |
| Epigenomic Characterization of Lymphoid Neoplasms. | Duran-Ferrer M et al. | β | 2024 | β |
| Epigenomic partitioning of a polygenic risk score for asthma reveals distinct genetically driven disease pathways. | Stikker B et al. | β | 2024 | β |
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| Exploring the key role of DNA methylation as an epigenetic modulator in oxidative stress related islet cell injury in patients with type 2 diabetes mellitus: a review. | Ahmed I et al. | β | 2024 | β |
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| Fine-mapping and molecular characterisation of primary sclerosing cholangitis genetic risk loci. | Goode EC et al. | β | 2024 | β |
| FORGEdb: a tool for identifying candidate functional variants and uncovering target genes and mechanisms for complex diseases. | Breeze CE et al. | β | 2024 | β |
| From genetic associations to genes: methods, applications, and challenges. | Qi T et al. | β | 2024 | β |
| From Genome-wide Association Studies to Functional Variants: ARL14 Cis-regulatory Variants Are Associated With Severe Malaria. | Adjemout M et al. | β | 2024 | β |
| Functional Genomics in Psoriasis. | Rossi S et al. | β | 2024 | β |
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| Identification of candidate causal variants and target genes at 41 breast cancer risk loci through differential allelic expression analysis. | Xavier JM et al. | β | 2024 | β |
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| Identification of novel proteins for coronary artery disease by integrating GWAS data and human plasma proteomes. | Li J et al. | β | 2024 | β |
| Identification of the Molecular Components of Enhancer-Mediated Gene Expression Variation in Multiple Tissues Regulating Blood Pressure. | Yaacov O et al. | β | 2024 | β |
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| Integrating leiomyoma genetics, epigenomics, and single-cell transcriptomics reveals causal genetic variants, genes, and cell types. | Buyukcelebi K et al. | β | 2024 | β |
| Integrative analyses of N6-methyladenosine-associated single-nucleotide polymorphisms (m6A-SNPs) identify tumor suppressor gene AK9 in lung cancer. | Hua T et al. | β | 2024 | β |
| Integrative analysis of genetics, epigenetics and RNA expression data reveal three susceptibility loci for smoking behavior in Chinese Han population. | Li MD et al. | β | 2024 | β |
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| Molecular Characterization of the Distal Lung: Novel Insights from Chronic Obstructive Pulmonary Disease Omics. | Castaldi PJ et al. | β | 2024 | β |
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