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Identification of the Molecular Components of Enhancer-Mediated Gene Expression Variation in Multiple Tissues Regulating Blood Pressure

Yaacov, Or; Mathiyalagan, Prabhu; Berk-Rauch, Hanna E; Ganesh, Santhi K; Zhu, Luke; Hoffmann, Thomas J; Iribarren, Carlos; Risch, Neil; Lee, Dongwon; Chakravarti, Aravinda
BACKGROUND/UNASSIGNED:Inter-individual variation in blood pressure (BP) arises in part from sequence variants within enhancers modulating the expression of causal genes. We propose that these genes, active in tissues relevant to BP physiology, can be identified from tissue-level epigenomic data and genotypes of BP-phenotyped individuals. METHODS/UNASSIGNED:We used chromatin accessibility data from the heart, adrenal, kidney, and artery to identify cis-regulatory elements (CREs) in these tissues and estimate the impact of common human single-nucleotide variants within these CREs on gene expression, using machine learning methods. To identify causal genes, we performed a gene-wise association test. We conducted analyses in 2 separate large-scale cohorts: 77 822 individuals from the Genetic Epidemiology Research on Adult Health and Aging and 315 270 individuals from the UK Biobank. RESULTS/UNASSIGNED:<0.0001). These results enabled tissue expression prediction of these 988 to 2875 putative BP genes in individuals of both cohorts to construct an expression polygenic score. This score explained ≈27% of the reported single-nucleotide variant heritability, substantially higher than expected from prior studies. CONCLUSIONS/UNASSIGNED:Our work demonstrates the power of tissue-restricted comprehensive CRE analysis, followed by CRE-based expression prediction, for understanding BP regulation in relevant tissues and provides dual-modality supporting evidence, CRE and expression, for the causality genes.
PMCID:11168860
PMID: 38747164
ISSN: 1524-4563
CID: 5668622

Interleukin-1 Receptor Antagonist Gene (IL1RN) Variants Modulate the Cytokine Release Syndrome and Mortality of COVID-19

Attur, Mukundan; Petrilli, Christopher; Adhikari, Samrachana; Iturrate, Eduardo; Li, Xiyue; Tuminello, Stephanie; Hu, Nan; Chakravarti, Aravinda; Beck, David; Abramson, Steven B
BACKGROUND:We examined effects of single-nucleotide variants (SNVs) of IL1RN, the gene encoding the anti-inflammatory interleukin 1 receptor antagonist (IL-1Ra), on the cytokine release syndrome (CRS) and mortality in patients with acute severe respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. METHODS:IL1RN CTA haplotypes formed from 3 SNVs (rs419598, rs315952, rs9005) and the individual SNVs were assessed for association with laboratory markers of inflammation and mortality. We studied 2589 patients hospitalized with SARS-CoV-2 between March 2020 and March 2021. RESULTS:Mortality was 15.3% and lower in women than men (13.1% vs 17.3%, P = .0003). Carriers of the CTA-1/2 IL1RN haplotypes exhibited decreased inflammatory markers and increased plasma IL-1Ra. Evaluation of the individual SNVs of the IL1RN, carriers of the rs419598 C/C SNV exhibited significantly reduced inflammatory biomarker levels and numerically lower mortality compared to the C/T-T/T genotype (10.0% vs 17.8%, P = .052) in men, with the most pronounced association observed in male patients ≤74 years old, whose mortality was reduced by 80% (3.1% vs 14.0%, P = .030). CONCLUSIONS:The IL1RN haplotype CTA and C/C variant of rs419598 are associated with attenuation of the CRS and decreased mortality in men with acute SARS-CoV-2 infection. The data suggest that the IL1RN pathway modulates the severity of coronavirus disease 2019 (COVID-19) via endogenous anti-inflammatory mechanisms.
PMCID:11175666
PMID: 38871359
ISSN: 1537-6613
CID: 5669392

Tissue-specific and tissue-agnostic effects of genome sequence variation modulating blood pressure

Lee, Dongwon; Han, Seong Kyu; Yaacov, Or; Berk-Rauch, Hanna; Mathiyalagan, Prabhu; Ganesh, Santhi K; Chakravarti, Aravinda
Genome-wide association studies (GWASs) have identified numerous variants associated with polygenic traits and diseases. However, with few exceptions, a mechanistic understanding of which variants affect which genes in which tissues to modulate trait variation is lacking. Here, we present genomic analyses to explain trait heritability of blood pressure (BP) through the genetics of transcriptional regulation using GWASs, multiomics data from different tissues, and machine learning approaches. Approximately 500,000 predicted regulatory variants across four tissues explain 33.4% of variant heritability: 2.5%, 5.3%, 7.7%, and 11.8% for kidney-, adrenal-, heart-, and artery-specific variants, respectively. Variation in the enhancers involved shows greater tissue specificity than in the genes they regulate, suggesting that gene regulatory networks perturbed by enhancer variants in a tissue relevant to a phenotype are the major source of interindividual variation in BP. Thus, our study provides an approach to scan human tissue and cell types for their physiological contribution to any trait.
PMCID:10726310
PMID: 37910504
ISSN: 2211-1247
CID: 5590312

Cardiac muscle-restricted partial loss of Nos1ap expression has limited but significant impact on electrocardiographic features

Smith, Alexa; Auer, Dallas; Johnson, Morgan; Sanchez, Ernesto; Ross, Holly; Ward, Christopher; Chakravarti, Aravinda; Kapoor, Ashish
Genome-wide association studies have identified sequence polymorphisms in a functional enhancer of the NOS1AP gene as the most common genetic regulator of QT interval and human cardiac NOS1AP gene expression in the general population. Functional studies based on in vitro overexpression in murine cardiomyocytes and ex vivo knockdown in zebrafish embryonic hearts, by us and others, have also demonstrated that NOS1AP expression levels can alter cellular electrophysiology. Here, to explore the role of NOS1AP in cardiac electrophysiology at an organismal level, we generated and characterized constitutive and heart muscle-restricted Nos1ap knockout mice to assess whether NOS1AP disruption alters the QT interval in vivo. Constitutive loss of Nos1ap led to genetic background-dependent variable lethality at or right before birth. Heart muscle-restricted Nos1ap knockout, generated using cardiac-specific alpha-myosin heavy chain promoter-driven tamoxifen-inducible Cre, resulted in tissue-level Nos1ap expression reduced by half. This partial loss of expression had no detectable effect on the QT interval or other electrocardiographic and echocardiographic parameters, except for a small but significant reduction in the QRS interval. Given that challenges associated with defining the end of the T wave on murine electrocardiogram can limit identification of subtle effects on the QT interval and that common noncoding NOS1AP variants are also associated with the QRS interval, our findings support the role of NOS1AP in regulation of the cardiac electrical cycle.
PMCID:10627271
PMID: 37708408
ISSN: 2160-1836
CID: 5593352

RET enhancer haplotype-dependent remodeling of the human fetal gut development program

Chatterjee, Sumantra; Fries, Lauren E; Yaacov, Or; Hu, Nan; Berk-Rauch, Hanna E; Chakravarti, Aravinda
Hirschsprung disease (HSCR) is associated with deficiency of the receptor tyrosine kinase RET, resulting in loss of cells of the enteric nervous system (ENS) during fetal gut development. The major contribution to HSCR risk is from common sequence variants in RET enhancers with additional risk from rare coding variants in many genes. Here, we demonstrate that these RET enhancer variants specifically alter the human fetal gut development program through significant decreases in gene expression of RET, members of the RET-EDNRB gene regulatory network (GRN), other HSCR genes, with an altered transcriptome of 2,382 differentially expressed genes across diverse neuronal and mesenchymal functions. A parsimonious hypothesis for these results is that beyond RET's direct effect on its GRN, it also has a major role in enteric neural crest-derived cell (ENCDC) precursor proliferation, its deficiency reducing ENCDCs with relative expansion of non-ENCDC cells. Thus, genes reducing RET proliferative activity can potentially cause HSCR. One such class is the 23 RET-dependent transcription factors enriched in early gut development. We show that their knockdown in human neuroblastoma SK-N-SH cells reduces RET and/or EDNRB gene expression, expanding the RET-EDNRB GRN. The human embryos we studied had major remodeling of the gut transcriptome but were unlikely to have had HSCR: thus, genetic or epigenetic changes in addition to those in RET are required for aganglionosis.
PMCID:10664930
PMID: 37948459
ISSN: 1553-7404
CID: 5607952

Ret deficiency decreases neural crest progenitor proliferation and restricts fate potential during enteric nervous system development

Vincent, Elizabeth; Chatterjee, Sumantra; Cannon, Gabrielle H; Auer, Dallas; Ross, Holly; Chakravarti, Aravinda; Goff, Loyal A
The receptor tyrosine kinase RET plays a critical role in the fate specification of enteric neural crest-derived cells (ENCDCs) during enteric nervous system (ENS) development. RET loss of function (LoF) is associated with Hirschsprung disease (HSCR), which is marked by aganglionosis of the gastrointestinal (GI) tract. Although the major phenotypic consequences and the underlying transcriptional changes from Ret LoF in the developing ENS have been described, cell type- and state-specific effects are unknown. We performed single-cell RNA sequencing on an enriched population of ENCDCs from the developing GI tract of Ret null heterozygous and homozygous mice at embryonic day (E)12.5 and E14.5. We demonstrate four significant findings: 1) Ret-expressing ENCDCs are a heterogeneous population comprising ENS progenitors as well as glial- and neuronal-committed cells; 2) neurons committed to a predominantly inhibitory motor neuron developmental trajectory are not produced under Ret LoF, leaving behind a mostly excitatory motor neuron developmental program; 3) expression patterns of HSCR-associated and Ret gene regulatory network genes are impacted by Ret LoF; and 4) Ret deficiency leads to precocious differentiation and reduction in the number of proliferating ENS precursors. Our results support a model in which Ret contributes to multiple distinct cellular phenotypes during development of the ENS, including the specification of inhibitory neuron subtypes, cell cycle dynamics of ENS progenitors, and the developmental timing of neuronal and glial commitment.
PMCID:10451519
PMID: 37585461
ISSN: 1091-6490
CID: 5595682

Interleukin-1 receptor antagonist gene ( IL1RN ) variants modulate the cytokine release syndrome and mortality of SARS-CoV-2

Attur, Mukundan; Petrilli, Christopher; Adhikari, Samrachana; Iturrate, Eduardo; Li, Xiyue; Tuminello, Stephanie; Hu, Nan; Chakravarti, Aravinda; Beck, David; Abramson, Steven B
OBJECTIVE/UNASSIGNED:, the gene encoding the anti-inflammatory IL-1 receptor antagonist (IL-1Ra), on the cytokine release syndrome and mortality. METHODS/UNASSIGNED:gene were assessed for association with laboratory markers of the cytokine release syndrome (CRS) and mortality. RESULTS/UNASSIGNED:rs419598 CC SNV exhibited lower inflammatory biomarker levels, and was associated with reduced mortality compared to the CT/TT genotype in men (OR 0.49 (0.23 - 1.00); 0.052), with the most pronounced effect observed between the ages of 55-74 [5.5% vs. 18.4%, p<0.001]. CONCLUSION/UNASSIGNED:modulates the COVID-19 cytokine release syndrome via endogenous " anti-inflammatory" mechanisms. SIGNIFICANCE STATEMENT/UNASSIGNED:merits further evaluation in severe SARS-CoV-2 infection.
PMCID:9882468
PMID: 36711766
CID: 5602052

Quality assessment and refinement of chromatin accessibility data using a sequence-based predictive model

Han, Seong Kyu; Muto, Yoshiharu; Wilson, Parker C; Humphreys, Benjamin D; Sampson, Matthew G; Chakravarti, Aravinda; Lee, Dongwon
Chromatin accessibility assays are central to the genome-wide identification of gene regulatory elements associated with transcriptional regulation. However, the data have highly variable quality arising from several biological and technical factors. To surmount this problem, we developed a sequence-based machine learning method to evaluate and refine chromatin accessibility data. Our framework, gapped k-mer SVM quality check (gkmQC), provides the quality metrics for a sample based on the prediction accuracy of the trained models. We tested 886 DNase-seq samples from the ENCODE/Roadmap projects to demonstrate that gkmQC can effectively identify "high-quality" (HQ) samples with low conventional quality scores owing to marginal read depths. Peaks identified in HQ samples are more accurately aligned at functional regulatory elements, show greater enrichment of regulatory elements harboring functional variants, and explain greater heritability of phenotypes from their relevant tissues. Moreover, gkmQC can optimize the peak-calling threshold to identify additional peaks, especially for rare cell types in single-cell chromatin accessibility data.
PMID: 36508674
ISSN: 1091-6490
CID: 5381942

RET enhancer haplotype-dependent remodeling of the human fetal gut development program [PrePrint]

Chatterjee, Sumantra; Fries, Lauren E; Yaacov, Or; Hu, Nan; Berk-Rauch, Hanna E; Chakravarti, Aravinda
ORIGINAL:0015750
ISSN: 2692-8205
CID: 5294112

Insights From a Large-Scale Whole-Genome Sequencing Study of Systolic Blood Pressure, Diastolic Blood Pressure, and Hypertension

Kelly, Tanika N; Sun, Xiao; He, Karen Y; Brown, Michael R; Taliun, Sarah A Gagliano; Hellwege, Jacklyn N; Irvin, Marguerite R; Mi, Xuenan; Brody, Jennifer A; Franceschini, Nora; Guo, Xiuqing; Hwang, Shih-Jen; de Vries, Paul S; Gao, Yan; Moscati, Arden; Nadkarni, Girish N; Yanek, Lisa R; Elfassy, Tali; Smith, Jennifer A; Chung, Ren-Hua; Beitelshees, Amber L; Patki, Amit; Aslibekyan, Stella; Blobner, Brandon M; Peralta, Juan M; Assimes, Themistocles L; Palmas, Walter R; Liu, Chunyu; Bress, Adam P; Huang, Zhijie; Becker, Lewis C; Hwa, Chii-Min; O'Connell, Jeffrey R; Carlson, Jenna C; Warren, Helen R; Das, Sayantan; Giri, Ayush; Martin, Lisa W; Craig Johnson, W; Fox, Ervin R; Bottinger, Erwin P; Razavi, Alexander C; Vaidya, Dhananjay; Chuang, Lee-Ming; Chang, Yen-Pei C; Naseri, Take; Jain, Deepti; Kang, Hyun Min; Hung, Adriana M; Srinivasasainagendra, Vinodh; Snively, Beverly M; Gu, Dongfeng; Montasser, May E; Reupena, Muagututi'a Sefuiva; Heavner, Benjamin D; LeFaive, Jonathon; Hixson, James E; Rice, Kenneth M; Wang, Fei Fei; Nielsen, Jonas B; Huang, Jianfeng; Khan, Alyna T; Zhou, Wei; Nierenberg, Jovia L; Laurie, Cathy C; Armstrong, Nicole D; Shi, Mengyao; Pan, Yang; Stilp, Adrienne M; Emery, Leslie; Wong, Quenna; Hawley, Nicola L; Minster, Ryan L; Curran, Joanne E; Munroe, Patricia B; Weeks, Daniel E; North, Kari E; Tracy, Russell P; Kenny, Eimear E; Shimbo, Daichi; Chakravarti, Aravinda; Rich, Stephen S; Reiner, Alex P; Blangero, John; Redline, Susan; Mitchell, Braxton D; Rao, Dabeeru C; Ida Chen, Yii-Der; Kardia, Sharon L R; Kaplan, Robert C; Mathias, Rasika A; He, Jiang; Psaty, Bruce M; Fornage, Myriam; Loos, Ruth J F; Correa, Adolfo; Boerwinkle, Eric; Rotter, Jerome I; Kooperberg, Charles; Edwards, Todd L; Abecasis, Gonçalo R; Zhu, Xiaofeng; Levy, Daniel; Arnett, Donna K; Morrison, Alanna C
BACKGROUND:The availability of whole-genome sequencing data in large studies has enabled the assessment of coding and noncoding variants across the allele frequency spectrum for their associations with blood pressure. METHODS:We conducted a multiancestry whole-genome sequencing analysis of blood pressure among 51 456 Trans-Omics for Precision Medicine and Centers for Common Disease Genomics program participants (stage-1). Stage-2 analyses leveraged array data from UK Biobank (N=383 145), Million Veteran Program (N=318 891), and Reasons for Geographic and Racial Differences in Stroke (N=10 643) participants, along with whole-exome sequencing data from UK Biobank (N=199 631) participants. RESULTS:, respectively). DISCUSSION/CONCLUSIONS:We report one promising but unconfirmed rare variant for blood pressure and, more importantly, contribute insights for future blood pressure sequencing studies. Our findings suggest promise of aggregate analyses to complement single variant analysis strategies and the need for larger, diverse samples, and family studies to enable robust rare variant identification.
PMID: 35652341
ISSN: 1524-4563
CID: 5236312