| Literature DB >> 30527956 |
Christopher J Rhodes1, Ken Batai2, Marta Bleda3, Matthias Haimel3, Laura Southgate4, Marine Germain5, Michael W Pauciulo6, Charaka Hadinnapola3, Jurjan Aman1, Barbara Girerd7, Amit Arora2, Jo Knight8, Ken B Hanscombe9, Jason H Karnes10, Marika Kaakinen1, Henning Gall11, Anna Ulrich1, Lars Harbaum1, Inês Cebola1, Jorge Ferrer1, Katie Lutz6, Emilia M Swietlik3, Ferhaan Ahmad12, Philippe Amouyel13, Stephen L Archer14, Rahul Argula15, Eric D Austin16, David Badesch17, Sahil Bakshi18, Christopher Barnett19, Raymond Benza20, Nitin Bhatt21, Harm J Bogaard22, Charles D Burger23, Murali Chakinala24, Colin Church25, John G Coghlan26, Robin Condliffe27, Paul A Corris28, Cesare Danesino29, Stéphanie Debette30, C Gregory Elliott31, Jean Elwing32, Melanie Eyries5, Terry Fortin33, Andre Franke34, Robert P Frantz35, Adaani Frost36, Joe G N Garcia37, Stefano Ghio38, Hossein-Ardeschir Ghofrani11, J Simon R Gibbs39, John Harley40, Hua He6, Nicholas S Hill41, Russel Hirsch42, Arjan C Houweling22, Luke S Howard39, Dunbar Ivy43, David G Kiely27, James Klinger44, Gabor Kovacs45, Tim Lahm46, Matthias Laudes34, Rajiv D Machado47, Robert V MacKenzie Ross48, Keith Marsolo49, Lisa J Martin6, Shahin Moledina50, David Montani7, Steven D Nathan51, Michael Newnham52, Andrea Olschewski45, Horst Olschewski45, Ronald J Oudiz53, Willem H Ouwehand54, Andrew J Peacock25, Joanna Pepke-Zaba55, Zia Rehman56, Ivan Robbins57, Dan M Roden57, Erika B Rosenzweig58, Ghulam Saydain59, Laura Scelsi38, Robert Schilz60, Werner Seeger11, Christian M Shaffer57, Robert W Simms61, Marc Simon62, Olivier Sitbon7, Jay Suntharalingam48, Haiyang Tang37, Alexander Y Tchourbanov63, Thenappan Thenappan64, Fernando Torres65, Mark R Toshner3, Carmen M Treacy3, Anton Vonk Noordegraaf22, Quinten Waisfisz22, Anna K Walsworth6, Robert E Walter66, John Wharton1, R James White67, Jeffrey Wilt68, Stephen J Wort39, Delphine Yung69, Allan Lawrie70, Marc Humbert7, Florent Soubrier5, David-Alexandre Trégouët5, Inga Prokopenko1, Richard Kittles71, Stefan Gräf3, William C Nichols6, Richard C Trembath9, Ankit A Desai72, Nicholas W Morrell73, Martin R Wilkins74.
Abstract
BACKGROUND: Rare genetic variants cause pulmonary arterial hypertension, but the contribution of common genetic variation to disease risk and natural history is poorly characterised. We tested for genome-wide association for pulmonary arterial hypertension in large international cohorts and assessed the contribution of associated regions to outcomes.Entities:
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Year: 2018 PMID: 30527956 PMCID: PMC6391516 DOI: 10.1016/S2213-2600(18)30409-0
Source DB: PubMed Journal: Lancet Respir Med ISSN: 2213-2600 Impact factor: 30.700
Figure 1Study design
HLA-DPA1 and HLA-DPB1 are collectively referred to as HLA-DPA1/DPB1 in this Article. BHFPAH=British Heart Foundation Pulmonary Arterial Hypertension study. GWAS=genome-wide association study. NIHRBR=National Institute for Health Research BioResource study. PAH=pulmonary arterial hypertension. PAHB=PAH Biobank study. PHAAR=Pulmonary Hypertension Allele-Associated Risk study.
Novel loci associated with pulmonary arterial hypertension in sequenced and genotyped cohorts
| Odds ratio (95% CI) | p value | Odds ratio (95% CI) | p value | Odds ratio (95% CI) | Meta-analysis p value | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| 6:33041734:C/T | 0·12 | 0·12 | 1·71 (1·48–1·96) | 4·41 × 10−14 | 0·13 | 1·44 (1·26–1·64) | 5·35 × 10−8 | 1·56 (1·42–1·71) | 7·65 × 10−20 | |
| 8:55267612:C/T | 0·73 | 0·73 | 1·44 (1·26–1·64) | 4·44 × 10−8 | 0·74 | 1·31 (1·17–1·46) | 4·1 × 10−6 | 1·36 (1·25–1·48) | 1·69 × 10−12 | |
| 8:55258127:G/A | 0·90 | 0·90 | 1·85 (1·47–2·31) | 9·51 × 10−8 | 0·91 | 1·76 (1·45–2·14) | 9·84 × 10−9 | 1·80 (1·55–2·08) | 5·13 × 10−15 | |
| 6:33048640:G/A | 0·23 | 0·23 | 1·38 (1·22–1·55) | 9·21 × 10−8 | 0·23 | 1·44 (1·29–1·61) | 9·73 × 10−11 | 1·41 (1·30–1·53) | 7·13 × 10−17 | |
| 8:55265980:T/C | 0·91 | 0·92 | 1·55 (1·23–1·95) | 1·57 × 10−4 | 0·92 | 1·96 (1·57–2·43) | 1·54 × 10−9 | 1·75 (1·50–2·05) | 3·07 × 10−12 | |
Odds ratios are for association between effect allele and pulmonary arterial hypertension. gnomAD is the Genome Aggregation Database, which provides information including allele frequencies in different populations. HLA-DPA1 and HLA-DPB1 are collectively referred to as HLA-DPA1/DPB1 in this Article. BHFPAH=British Heart Foundation Pulmonary Arterial Hypertension study. neff=number of individuals that would make up an equally powered study with a 1:1 case:control ratio (appendix p 2). NIHRBR=National Institute for Health Research BioResource study. PAH=pulmonary arterial hypertension. PAHB=PAH Biobank study. PHAAR=Pulmonary Hypertension Allele-Associated Risk study. SNP=single-nucleotide polymorphism.
Significant.
This is the most significant SOX17 SNP after combining the three genotyping studies (not including NIHRBR) and forms part of signal 2.
Figure 2A meta-analysis of all cohorts and regional plots of novel loci
The regional plots indicate variant location at the HLA-DPA1 and HLA-DPB1 (collectively referred to as HLA-DPA1/DPB1 in this Article) locus and linkage disequilibrium structure at SOX17 locus. At the SOX17 locus, several variants associated with pulmonary arterial hypertension are in very weak or no linkage disequilibrium (r<0·2) with the lead single-nucleotide polymorphism (SNP), rs10103692. We refer to these variants as SOX17 signal 1 and the most significant variant, rs13266183, is indicated. The variants coloured as in linkage disequilibrium with rs10103692 comprise signal 2.
Figure 3In-silico analysis of SOX17 locus
Hi-C data from human umbilical vein endothelial cells (hUVECs) indicate regions of DNA found in close proximity in the three-dimensional structure. The genomic region containing the significant variants identified by the genome-wide association study (GWAS) analysis is indicated by a black box, overlapping a topologically associated domain (TAD) indicated in blue, which contains only SOX17. Mapping of SOX17 locus variants associated with pulmonary arterial hypertension with public epigenomic data is underneath Hi-C data. The credible set indicates positions of variants 99% likely to contain the causal variants. Auxiliary hidden Markov models, which summarise epigenomic data to predict the functional status of genomic regions in different tissues or cells, are shown. Epigenomic data in endothelial cells including hUVECs, human pulmonary artery endothelial cells (hPAECs), and endothelial progenitor cells (EPCs), indicate areas likely to contain active regulatory regions and promoters. Markers include histone H3 lysine 4 monomethylation (H3K4Me1; often found in enhancers) and trimethylation (H3K4Me3; strongly observed in promoters) and H3 lysine 27 acetylation (H3K27Ac; often found in active regulatory regions). The blue vertical blocks indicate where epigenomic data suggest a putative enhancer region, some overlapped by variants associated with pulmonary arterial hypertension. These regions were cloned for the luciferase reporter experiments (figure 4B). DHSs=DNase I hypersenstivity sites.
Figure 4In-vitro analysis of SOX17 locus
(A) Process for haplotype-specific reporter construct derivation. 100 bp genomic DNA inserts containing SOX17 single-nucleotide polymorphisms (SNPs) are isolated from endothelial progenitor cells derived from a patient with pulmonary arterial hypertension (PAH) heterozygous for the SOX17 SNPs. Colonies of transformed bacteria can be sequenced to determine alleles present in the product. Transfection of luciferase reporter constructs containing inserts into human pulmonary artery endothelial cells (hPAECs) allows for determination of luciferase activity. (B) Luciferase reporter assay results. Luciferase:Renilla ratios relative to the empty vector demonstrate haplotype-dependent enhancement of promoter activity. Enhancer effects were tested by one-way analysis of variance followed by Dunnett's post-hoc tests: rs10958403-G/A and rs765727-C/T were both p<0·0001 significant versus empty vector; variant effects of these two SNPs were tested by t test. The mean (SEM; error bars) of five experiments is shown. (C) Relative expression of SOX17:ACTB in hPAECs on CRISPR-mediated repression of the near SOX17 genome-wide association study (GWAS) locus. The mean (SEM; error bars) of four measurements in a representative experiment is shown. Three further experiments showed consistent results. Blue fluorescent protein (BFP), enhanced green fluorescent protein (eGFP), and control, which refers to a region between the enhancer region and the SOX17 gene that is negative for regulatory markers, are used as negative controls. The SOX17 promoter was targeted as a positive control of repression. Significance shown versus BFP by Dunnett's post-hoc analysis. (D) Relative expression of MRPL15:ACTB in hPAECs on CRISPR-mediated repression of the GWAS locus.
Figure 5Clinical impact of HLA-DPB1 rs2856830
(A) Age at diagnosis by genotype in four cohorts of patients with pulmonary arterial hypertension (PAH). Bars indicate medians (IQRs); numbers given are median values in subgroups. The p value shown is from a linear regression model correcting for cohort differences. (B) Forest plot showing hazard ratios for the rs2856830 6:33041734 T/T versus C/C genotypes, corrected for age and sex in Cox regression survival analyses in each cohort, individually and with meta-analysis results. Error bars indicate 95% CIs. (C) Kaplan-Meier survival plot in patients with pulmonary arterial hypertension divided into groups on the basis of the genotype of HLA-DPA1 and HLA-DPB1 single-nucleotide polymorphism (SNP) rs2856830 in all cohorts. Numbers at risk indicates numbers at risk in each time period, which increases as truncated patients are recruited into the study after diagnosis and decreases as patient follow-up ends. Significance from the log rank test is given. BHFPAH=British Heart Foundation Pulmonary Arterial Hypertension study. NIHRBR=National Institute for Health Research BioResource study. PAHB=PAH Biobank study. PHAAR=Pulmonary Hypertension Allele-Associated Risk study.
Associations of HLA-DPB1 alleles with the lead SNP rs285683
| 8 | 9 | 11 | 33 | 35 | 36 | 55 | 56 | 57 | 65 | 69 | 76 | 84 | 85 | 86 | 87 | 96 | 178 | 194 | T/T | T/C | C/C | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| L | F | G | E | F | V | D | E | E | I | E | M | G | G | P | M | R | L | R | 244/8870 (3%) | 1182/2682 (44%) | 211/234 (90%) | <5 × 10−247 | |
| L | F | G | E | L | V | E | A | E | I | E | M | G | G | P | M | .. | .. | .. | 2/8870 (<1%) | 93/2682 (3%) | 16/234 (7%) | 2·77 × 10−87 | |
| L | F | G | E | F | V | D | E | E | I | E | M | D | E | A | V | .. | .. | .. | 4/8870 (<1%) | 64/2682 (2%) | 5/234 (2%) | 7·08 × 10−41 | |
| V | Y | L | E | F | V | D | E | D | L | K | V | D | E | A | V | K | L | R | 1094/8870 (12%) | 152/2682 (6%) | 0/234 (0%) | 5·50 × 10−23 | |
| L | F | G | E | F | A | A | A | E | I | K | M | G | G | P | M | R | L | R | 4251/8870 (48%) | 697/2682 (26%) | 1/234 (<1%) | 2·40 × 10−138 | |
| L | F | G | E | F | V | D | E | E | I | K | M | G | G | P | M | R | M | R | 1153/8870 (13%) | 166/2682 (6%) | 0/234 (0%) | 2·08 × 10−23 | |
| V | Y | G | E | Y | A | A | A | E | I | K | V | D | E | A | V | K | L | Q | 611/8870 (7%) | 99/2682 (4%) | 0/234 (0%) | 1·17 × 10−8 | |
Data are n/N (%) unless otherwise stated. FDR=false discovery rate. GWAS=genome-wide association study. SNP=single-nucleotide polymorphism.
Alleles and residues depleted in pulmonary arterial hypertension cases.
Alleles and residues enriched in pulmonary arterial hypertension cases.