Uncovering genetic mechanisms of hypertension through multi-omic analysis of the kidney
- Eales, James, Jiang, Xiao, Xu, Xiaoguang, Prestes, Priscilla, Charchar, Fadi
- Authors: Eales, James , Jiang, Xiao , Xu, Xiaoguang , Prestes, Priscilla , Charchar, Fadi
- Date: 2021
- Type: Text , Journal article
- Relation: Nature Genetics Vol. 53, no. 5 (2021), p. 630-637
- Full Text: false
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- Description: The kidney is an organ of key relevance to blood pressure (BP) regulation, hypertension and antihypertensive treatment. However, genetically mediated renal mechanisms underlying susceptibility to hypertension remain poorly understood. We integrated genotype, gene expression, alternative splicing and DNA methylation profiles of up to 430 human kidneys to characterize the effects of BP index variants from genome-wide association studies (GWASs) on renal transcriptome and epigenome. We uncovered kidney targets for 479 (58.3%) BP-GWAS variants and paired 49 BP-GWAS kidney genes with 210 licensed drugs. Our colocalization and Mendelian randomization analyses identified 179 unique kidney genes with evidence of putatively causal effects on BP. Through Mendelian randomization, we also uncovered effects of BP on renal outcomes commonly affecting patients with hypertension. Collectively, our studies identified genetic variants, kidney genes, molecular mechanisms and biological pathways of key relevance to the genetic regulation of BP and inherited susceptibility to hypertension. © 2021, Crown.
Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals
- Surendran, Praveen, Feofanova, Elena, Lahrouchi, Najim, Ntalla, Ionna, Karthikeyan, Savita, Cook, James, Chen, Lingyan, Mifsud, Borbala, Yao, Chen, Kraja, Aldi, Cartwright, James, Hellwege, Jacklyn, Giri, Ayush, Tragante, Vinicius, Thorleifsson, Gudmar, Liu, Dajiang, Prins, Bram, Stewart, Isobel, Cabrera, Claude, Eales, James, Akbarov, Artur, Auer, Paul, Charchar, Fadi, Howson, Joanna, LifeLines Cohort, Study, Epic, C. V. D., Epic InterAct, Understanding Society Scientific, Group, Million Veteran, Program
- Authors: Surendran, Praveen , Feofanova, Elena , Lahrouchi, Najim , Ntalla, Ionna , Karthikeyan, Savita , Cook, James , Chen, Lingyan , Mifsud, Borbala , Yao, Chen , Kraja, Aldi , Cartwright, James , Hellwege, Jacklyn , Giri, Ayush , Tragante, Vinicius , Thorleifsson, Gudmar , Liu, Dajiang , Prins, Bram , Stewart, Isobel , Cabrera, Claude , Eales, James , Akbarov, Artur , Auer, Paul , Charchar, Fadi , Howson, Joanna , LifeLines Cohort, Study , Epic, C. V. D. , Epic InterAct , Understanding Society Scientific, Group , Million Veteran, Program
- Date: 2020
- Type: Text , Journal article
- Relation: Nature Genetics Vol. 52, no. 12 (2020), p. 1314-1332
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- Description: Genetic studies of blood pressure (BP) to date have mainly analyzed common variants (minor allele frequency > 0.05). In a meta-analysis of up to ~1.3 million participants, we discovered 106 new BP-associated genomic regions and 87 rare (minor allele frequency ≤ 0.01) variant BP associations (P < 5 × 10−8), of which 32 were in new BP-associated loci and 55 were independent BP-associated single-nucleotide variants within known BP-associated regions. Average effects of rare variants (44% coding) were ~8 times larger than common variant effects and indicate potential candidate causal genes at new and known loci (for example, GATA5 and PLCB3). BP-associated variants (including rare and common) were enriched in regions of active chromatin in fetal tissues, potentially linking fetal development with BP regulation in later life. Multivariable Mendelian randomization suggested possible inverse effects of elevated systolic and diastolic BP on large artery stroke. Our study demonstrates the utility of rare-variant analyses for identifying candidate genes and the results highlight potential therapeutic targets. © 2020, The Author(s), under exclusive licence to Springer Nature America, Inc. There are 286 authors of this articles not all are listed in this record.
- Authors: Surendran, Praveen , Feofanova, Elena , Lahrouchi, Najim , Ntalla, Ionna , Karthikeyan, Savita , Cook, James , Chen, Lingyan , Mifsud, Borbala , Yao, Chen , Kraja, Aldi , Cartwright, James , Hellwege, Jacklyn , Giri, Ayush , Tragante, Vinicius , Thorleifsson, Gudmar , Liu, Dajiang , Prins, Bram , Stewart, Isobel , Cabrera, Claude , Eales, James , Akbarov, Artur , Auer, Paul , Charchar, Fadi , Howson, Joanna , LifeLines Cohort, Study , Epic, C. V. D. , Epic InterAct , Understanding Society Scientific, Group , Million Veteran, Program
- Date: 2020
- Type: Text , Journal article
- Relation: Nature Genetics Vol. 52, no. 12 (2020), p. 1314-1332
- Full Text:
- Reviewed:
- Description: Genetic studies of blood pressure (BP) to date have mainly analyzed common variants (minor allele frequency > 0.05). In a meta-analysis of up to ~1.3 million participants, we discovered 106 new BP-associated genomic regions and 87 rare (minor allele frequency ≤ 0.01) variant BP associations (P < 5 × 10−8), of which 32 were in new BP-associated loci and 55 were independent BP-associated single-nucleotide variants within known BP-associated regions. Average effects of rare variants (44% coding) were ~8 times larger than common variant effects and indicate potential candidate causal genes at new and known loci (for example, GATA5 and PLCB3). BP-associated variants (including rare and common) were enriched in regions of active chromatin in fetal tissues, potentially linking fetal development with BP regulation in later life. Multivariable Mendelian randomization suggested possible inverse effects of elevated systolic and diastolic BP on large artery stroke. Our study demonstrates the utility of rare-variant analyses for identifying candidate genes and the results highlight potential therapeutic targets. © 2020, The Author(s), under exclusive licence to Springer Nature America, Inc. There are 286 authors of this articles not all are listed in this record.
Molecular insights into genome-wide association studies of chronic kidney disease-defining traits
- Xu, Xiaoguang, Eales, James, Akbarov, Artur, Guo, Hui, Becker, Lorenz, Talavera, David, Ashraf, Fehzan, Nawaz, Jabran, Pramanik, Sanjeev, Bowes, John, Jiang, Xiao, Dormer, John, Denniff, Matthew, Antczak, Andrzej, Szulinska, Monika, Wise, Ingrid, Prestes, Priscilla, Glyda, Maciej, Bogdanski, Pawel, Zukowska-Szczechowska, Ewa, Berzuini, Carlo, Woolf, Adrian, Samani, Nilesh, Charchar, Fadi, Tomaszewski, Maciej
- Authors: Xu, Xiaoguang , Eales, James , Akbarov, Artur , Guo, Hui , Becker, Lorenz , Talavera, David , Ashraf, Fehzan , Nawaz, Jabran , Pramanik, Sanjeev , Bowes, John , Jiang, Xiao , Dormer, John , Denniff, Matthew , Antczak, Andrzej , Szulinska, Monika , Wise, Ingrid , Prestes, Priscilla , Glyda, Maciej , Bogdanski, Pawel , Zukowska-Szczechowska, Ewa , Berzuini, Carlo , Woolf, Adrian , Samani, Nilesh , Charchar, Fadi , Tomaszewski, Maciej
- Date: 2018
- Type: Text , Journal article
- Relation: Nature communications Vol. 9, no. 1 (2018), p. 1-12
- Full Text:
- Reviewed:
- Description: Genome-wide association studies (GWAS) have identified >100 loci of chronic kidney disease-defining traits (CKD-dt). Molecular mechanisms underlying these associations remain elusive. Using 280 kidney transcriptomes and 9958 gene expression profiles from 44 non-renal tissues we uncover gene expression partners (eGenes) for 88.9% of CKD-dt GWAS loci. Through epigenomic chromatin segmentation analysis and variant effect prediction we annotate functional consequences to 74% of these loci. Our colocalisation analysis and Mendelian randomisation in >130,000 subjects demonstrate causal effects of three eGenes (NAT8B, CASP9 and MUC1) on estimated glomerular filtration rate. We identify a common alternative splice variant in MUC1 (a gene responsible for rare Mendelian form of kidney disease) and observe increased renal expression of a specific MUC1 mRNA isoform as a plausible molecular mechanism of the GWAS association signal. These data highlight the variants and genes underpinning the associations uncovered in GWAS of CKD-dt.
- Authors: Xu, Xiaoguang , Eales, James , Akbarov, Artur , Guo, Hui , Becker, Lorenz , Talavera, David , Ashraf, Fehzan , Nawaz, Jabran , Pramanik, Sanjeev , Bowes, John , Jiang, Xiao , Dormer, John , Denniff, Matthew , Antczak, Andrzej , Szulinska, Monika , Wise, Ingrid , Prestes, Priscilla , Glyda, Maciej , Bogdanski, Pawel , Zukowska-Szczechowska, Ewa , Berzuini, Carlo , Woolf, Adrian , Samani, Nilesh , Charchar, Fadi , Tomaszewski, Maciej
- Date: 2018
- Type: Text , Journal article
- Relation: Nature communications Vol. 9, no. 1 (2018), p. 1-12
- Full Text:
- Reviewed:
- Description: Genome-wide association studies (GWAS) have identified >100 loci of chronic kidney disease-defining traits (CKD-dt). Molecular mechanisms underlying these associations remain elusive. Using 280 kidney transcriptomes and 9958 gene expression profiles from 44 non-renal tissues we uncover gene expression partners (eGenes) for 88.9% of CKD-dt GWAS loci. Through epigenomic chromatin segmentation analysis and variant effect prediction we annotate functional consequences to 74% of these loci. Our colocalisation analysis and Mendelian randomisation in >130,000 subjects demonstrate causal effects of three eGenes (NAT8B, CASP9 and MUC1) on estimated glomerular filtration rate. We identify a common alternative splice variant in MUC1 (a gene responsible for rare Mendelian form of kidney disease) and observe increased renal expression of a specific MUC1 mRNA isoform as a plausible molecular mechanism of the GWAS association signal. These data highlight the variants and genes underpinning the associations uncovered in GWAS of CKD-dt.
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