Erratum: Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations (PLoS Genet(2017)13: 5(e1006728)Doi: 10.1371/journal.pgen.1006728);Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations

PLoS Genetics

Volumn 13, Issue 5, 2017, Pages

  Liang, Jingjing ^a   Le, Thu H ^b   Edwards, Digna R Velez ^c   Tayo, Bamidele O ^d   Gaulton, Kyle J ^e   Smith, Jennifer A ^f   Lu, Yingchang ^g,h   Jensen, Richard A ⁱ   Chen, Guanjie ^j   Yanek, Lisa R ^k   Schwander, Karen ^l   Tajuddin, Salman M ^m   Sofer, Tamar ⁿ   Kim, Wonji ^o   Kayima, James ^p   McKenzie, Colin A ^q   Fox, Ervin ^r   Nalls, Michael A ^m   Young, J Hunter ^k   Sun, Yan V ^s   Lane, Jacqueline M ^t,u   Cechova, Sylvia ^b   Zhou, Jie ^j   Tang, Hua ^v   Fornage, Myriam ^w   Musani, Solomon K ^r   Wang, Heming ^a   Lee, Juyoung ^x   Adeyemo, Adebowale ^j   Dreisbach, Albert W ^r   Forrester, Terrence ^q   Chu, Pei Lun ^y   Cappola, Anne ^z   Evans, Michele K ^m   Morrison, Alanna C ^aa   Martin, Lisa W ^ab   Wiggins, Kerri L ⁱ   Hui, Qin ^s   Zhao, Wei ^f   Jackson, Rebecca D ^ac   Ware, Erin B ^f   Faul, Jessica D ^f   Reiner, Alex P ^ad   Bray, Michael ^c   Denny, Joshua C ^c   Mosley, Thomas H ^r   Palmas, Walter ^ae   Guo, Xiuqing ^af   Papanicolaou, George J ^ag   Penman, Alan D ^r   Polak, Joseph F ^ah   Rice, Kenneth ⁿ   Taylor, Ken D ^ai   Boerwinkle, Eric ^aa   Bottinger, Erwin P ^g   Liu, Kiang ^aj   Risch, Neil ^ak   Hunt, Steven C ^al   Kooperberg, Charles ^ad   Zonderman, Alan B ^m   Laurie, Cathy C ⁿ   Becker, Diane M ^k   Cai, Jianwen ^am   Loos, Ruth J F ^g   Psaty, Bruce M ^i,an   Weir, David R ^f   Kardia, Sharon L R ^f   Arnett, Donna K ^ao   Won, Sungho ^o   Edwards, Todd L ^c   Redline, Susan ^ap   Cooper, Richard S ^d   Rao, D C ^l   Rotter, Jerome I ^ai   Rotimi, Charles ^j   Levy, Daniel ^ag,aq   Chakravarti, Aravinda ^k   Zhu, Xiaofeng ^a   Franceschini, Nora ^am   more..

^a CASE WESTERN RESERVE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF VIRGINIA   (United States)

^c VANDERBILT UNIVERSITY MEDICAL CENTER   (United States)

^d LOYOLA UNIVERSITY CHICAGO   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

^f UNIVERSITY OF MICHIGAN   (United States)

^g MOUNT SINAI SCHOOL OF MEDICINE   (United States)

^h VANDERBILT INGRAM CANCER CENTER   (United States)

ⁱ UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE   (United States)

^j NATIONAL HUMAN GENOME RESEARCH INSTITUTE   (United States)

^k JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^l WASHINGTON UNIVERSITY   (United States)

^m NATIONAL INSTITUTES OF HEALTH   (United States)

ⁿ UNIVERSITY OF WASHINGTON   (United States)

^o Seoul National University   (South Korea)

^p MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES   (Uganda)

^q UNIVERSITY OF THE WEST INDIES   (Jamaica)

^r UNIVERSITY OF MISSISSIPPI MEDICAL CENTER   (United States)

^s EMORY UNIVERSITY   (United States)

^t MASSACHUSETTS GENERAL HOSPITAL   (United States)

^u BROAD INSTITUTE OF MIT AND HARVARD   (United States)

^v STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^w UNIVERSITY OF TEXAS MEDICAL SCHOOL   (United States)

^x Korea National Institute of Health   (South Korea)

^y FU JEN CATHOLIC UNIVERSITY   (Taiwan)

^z UNIVERSITY OF PENNSYLVANIA   (United States)

^aa UNIVERSITY OF TEXAS   (United States)

^ab GEORGE WASHINGTON UNIVERSITY SCHOOL OF MEDICINE AND HEALTH SCIENCES   (United States)

^ac OHIO STATE UNIVERSITY   (United States)

^ad USA   (United States)

^ae Och Spine at New York Presbyterian Hospitals   (United States)

^af CEDARS SINAI MEDICAL CENTER   (United States)

^ag NATIONAL HEART LUNG AND BLOOD INSTITUTE   (United States)

^ah TUFTS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^ai HARBOR UCLA MEDICAL CENTER   (United States)

^aj NORTHWESTERN UNIVERSITY   (United States)

^ak UNIVERSITY OF CALIFORNIA   (United States)

^al UNIVERSITY OF UTAH   (United States)

^am University of North Carolina at Chapel Hill   (United States)

^an KAISER PERMANENTE   (United States)

^ao UNIVERSITY OF KENTUCKY COLLEGE OF PUBLIC HEALTH   (United States)

^ap HARVARD MEDICAL SCHOOL   (United States)

^aq FRAMINGHAM HEART STUDY   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

MESSENGER RNA; BASIC HELIX LOOP HELIX TRANSCRIPTION FACTOR; CADHERIN; CDH17 PROTEIN, HUMAN; MEMBRANE PROTEIN; TCF21 PROTEIN, HUMAN; TMBIM4 PROTEIN, HUMAN;

AFRICAN; ALLELE; ANCESTRY GROUP; ANIMAL EXPERIMENT; ANIMAL MODEL; ARTICLE; BIOINFORMATICS; COHORT ANALYSIS; CONTROLLED STUDY; DIASTOLIC BLOOD PRESSURE; EXPRESSION QUANTITATIVE TRAIT LOCI; GENE; GENE EXPRESSION; GENE LOCUS; GENETIC ASSOCIATION; GENETIC SUSCEPTIBILITY; GENOME-WIDE ASSOCIATION STUDY; HEART; HOXA10 1 GENE; HOXA11 GENE; HOXA5 GENE; HUMAN; HYPERTENSION; IGFBP3 GENE; IMMUNOCOMPETENT CELL; KIDNEY CELL; MALE; MOUSE; NONHUMAN; PLEKHG1 GENE; QUANTITATIVE TRAIT LOCUS; SINGLE NUCLEOTIDE POLYMORPHISM; SYSTOLIC BLOOD PRESSURE; TMBIM4 GENE; VASCULAR TISSUE; AFRICAN AMERICAN; ANIMAL; BLOOD PRESSURE; CASE CONTROL STUDY; ETHNOLOGY; FEMALE; GENETICS; MULTIFACTORIAL INHERITANCE;

AFRICAN AMERICANS; ANIMALS; BASIC HELIX-LOOP-HELIX TRANSCRIPTION FACTORS; BLOOD PRESSURE; CADHERINS; CASE-CONTROL STUDIES; FEMALE; GENETIC LOCI; GENOME-WIDE ASSOCIATION STUDY; HUMANS; HYPERTENSION; MALE; MEMBRANE PROTEINS; MICE; MULTIFACTORIAL INHERITANCE; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 85020170111     PISSN: 15537390     EISSN: 15537404     Source Type: Journal    
DOI: 10.1371/JOURNAL.PGEN.1007345     Document Type: Erratum

References (84)

1. Levy D, DeStefano AL, Larson MG, O'Donnell CJ, Lifton RP, Gavras H, et al. Evidence for a gene influencing blood pressure on chromosome 17. Genome scan linkage results for longitudinal blood pressure phenotypes in subjects from the framingham heart study. Hypertension. 2000;36(4):477–83. 11040222
2. Hopkins PN, Hunt SC, Genetics of hypertension. Genet Med. 2003;5(6):413–29. doi: 10.109701.GIM.0000096375.88710.A6 14614392
3. Samani NJ, Genome scans for hypertension and blood pressure regulation. Am J Hypertens. 2003;16(2):167–71. 12559688
4. Cooper RS, Guo X, Rotimi CN, Luke A, Ward R, Adeyemo A, et al. Heritability of angiotensin-converting enzyme and angiotensinogen: A comparison of US blacks and Nigerians. Hypertension. 2000;35(5):1141–7. 10818078
5. Ehret GB, Ferreira T, Chasman DI, Jackson AU, Schmidt EM, Johnson T, et al. The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals. Nature genetics. 2016.
6. Ehret GB, Munroe PB, Rice KM, Bochud M, Johnson AD, Chasman DI, et al. Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk. Nature. 2011;478(7367):103–9. doi: 10.1038/nature10405 21909115
7. Surendran P, Drenos F, Young R, Warren H, Cook JP, Manning AK, et al. Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension. Nature genetics. 2016.
8. Cho YS, Go MJ, Kim YJ, Heo JY, Oh JH, Ban HJ, et al. A large-scale genome-wide association study of Asian populations uncovers genetic factors influencing eight quantitative traits. Nature genetics. 2009;41(5):527–34. doi: 10.1038/ng.357 19396169
9. Kato N, Loh M, Takeuchi F, Verweij N, Wang X, Zhang W, et al. Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation. Nature genetics. 2015;47(11):1282–93. doi: 10.1038/ng.3405 26390057
10. Kato N, Takeuchi F, Tabara Y, Kelly TN, Go MJ, Sim X, et al. Meta-analysis of genome-wide association studies identifies common variants associated with blood pressure variation in east Asians. Nature genetics. 2011;43(6):531–8. doi: 10.1038/ng.834 21572416
11. Surendran P, Drenos F, Young R, Warren H, Cook JP, Manning AK, et al. Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension. Nature genetics. 2016;48(10):1151–61. doi: 10.1038/ng.3654 27618447
12. Liu C, Kraja AT, Smith JA, Brody JA, Franceschini N, Bis JC, et al. Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci. Nature genetics. 2016;48(10):1162–70. doi: 10.1038/ng.3660 27618448
13. Warren HR, Evangelou E, Cabrera CP, Gao H, Ren M, Mifsud B, et al. Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk. Nature genetics. 2017.
14. Wang YJ, Tayo BO, Bandyopadhyay A, Wang H, Feng T, Franceschini N, et al. The association of the vanin-1 N131S variant with blood pressure is mediated by endoplasmic reticulum-associated degradation and loss of function. PLoS genetics. 2014;10(9):e1004641. doi: 10.1371/journal.pgen.1004641 25233454
15. Zhu X, Young JH, Fox E, Keating BJ, Franceschini N, Kang S, et al. Combined admixture mapping and association analysis identifies a novel blood pressure genetic locus on 5p13: contributions from the CARe consortium. Hum Mol Genet. 2011;20(11):2285–95. doi: 10.1093/hmg/ddr113 21422096
16. Zhu X, Cooper RS, Admixture mapping provides evidence of association of the VNN1 gene with hypertension. PloS one. 2007;2(11):e1244. doi: 10.1371/journal.pone.0001244 18043751
17. Zhu X, Luke A, Cooper RS, Quertermous T, Hanis C, Mosley T, et al. Admixture mapping for hypertension loci with genome-scan markers. Nature genetics. 2005;37(2):177–81. doi: 10.1038/ng1510 15665825
18. Franceschini N, Fox E, Zhang Z, Edwards TL, Nalls MA, Sung YJ, et al. Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populations. American journal of human genetics. 2013;93(3):545–54. doi: 10.1016/j.ajhg.2013.07.010 23972371
19. Adeyemo A, Gerry N, Chen G, Herbert A, Doumatey A, Huang H, et al. A genome-wide association study of hypertension and blood pressure in African Americans. PLoS genetics. 2009;5(7):e1000564. doi: 10.1371/journal.pgen.1000564 19609347
20. Calhoun DA, Jones D, Textor S, Goff DC, Murphy TP, Toto RD, et al. Resistant hypertension: diagnosis, evaluation, and treatment. A scientific statement from the American Heart Association Professional Education Committee of the Council for High Blood Pressure Research. Hypertension. 2008;51(6):1403–19. doi: 10.1161/HYPERTENSIONAHA.108.189141 18391085
21. Roger VL, Go AS, Lloyd-Jones DM, Benjamin EJ, Berry JD, Borden WB, et al. Executive summary: heart disease and stroke statistics—2012 update: a report from the American Heart Association. Circulation. 2012;125(1):188–97. doi: 10.1161/CIR.0b013e3182456d46 22215894
22. Hertz RP, Unger AN, Cornell JA, Saunders E, Racial disparities in hypertension prevalence, awareness, and management. Archives of internal medicine. 2005;165(18):2098–104. doi: 10.1001/archinte.165.18.2098 16216999
23. Stevens J, Truesdale KP, Katz EG, Cai J, Impact of body mass index on incident hypertension and diabetes in Chinese Asians, American Whites, and American Blacks: the People's Republic of China Study and the Atherosclerosis Risk in Communities Study. American journal of epidemiology. 2008;167(11):1365–74. doi: 10.1093/aje/kwn060 18375949
24. Mufunda J, Chatora R, Ndambakuwa Y, Nyarango P, Kosia A, Chifamba J, et al. Emerging non-communicable disease epidemic in Africa: preventive measures from the WHO Regional Office for Africa. Ethnicity & disease. 2006;16(2):521–6.
25. Addo J, Smeeth L, Leon DA, Hypertension in sub-saharan Africa: a systematic review. Hypertension. 2007;50(6):1012–8. doi: 10.1161/HYPERTENSIONAHA.107.093336 17954720
26. Lewington S, Clarke R, Qizilbash N, Peto R, Collins R, Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies. Lancet. 2002;360(9349):1903–13. 12493255
27. Hsu CY, McCulloch CE, Darbinian J, Go AS, Iribarren C, Elevated blood pressure and risk of end-stage renal disease in subjects without baseline kidney disease. Archives of internal medicine. 2005;165(8):923–8. doi: 10.1001/archinte.165.8.923 15851645
28. Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H, et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380(9859):2224–60. doi: 10.1016/S0140-6736(12)61766-8 23245609
29. Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL, Jr.et al. The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. Jama. 2003;289(19):2560–72. doi: 10.1001/jama.289.19.2560 12748199
30. Berry JD, Dyer A, Cai X, Garside DB, Ning H, Thomas A, et al. Lifetime risks of cardiovascular disease. The New England journal of medicine. 2012;366(4):321–9. doi: 10.1056/NEJMoa1012848 22276822
31. Howard G, Lackland DT, Kleindorfer DO, Kissela BM, Moy CS, Judd SE, et al. Racial differences in the impact of elevated systolic blood pressure on stroke risk. JAMA Intern Med. 2013;173(1):46–51. doi: 10.1001/2013.jamainternmed.857 23229778
32. Safford MM, Brown TM, Muntner PM, Durant RW, Glasser S, Halanych JH, et al. Association of race and sex with risk of incident acute coronary heart disease events. Jama. 2012;308(17):1768–74. doi: 10.1001/jama.2012.14306 23117777
33. Sharma A, Colvin-Adams M, Yancy CW, Heart failure in African Americans: disparities can be overcome. Cleve Clin J Med. 2014;81(5):301–11. doi: 10.3949/ccjm.81a.13045 24789589
34. Zakai NA, McClure LA, Judd SE, Safford MM, Folsom AR, Lutsey PL, et al. Racial and regional differences in venous thromboembolism in the United States in 3 cohorts. Circulation. 2014;129(14):1502–9. doi: 10.1161/CIRCULATIONAHA.113.006472 24508826
35. Genovese G, Friedman DJ, Ross MD, Lecordier L, Uzureau P, Freedman BI, et al. Association of trypanolytic ApoL1 variants with kidney disease in African Americans. Science. 2010;329(5993):841–5. doi: 10.1126/science.1193032 20647424
36. Tekola-Ayele F, Doumatey AP, Shriner D, Bentley AR, Chen G, Zhou J, et al. Genome-wide association study identifies African-ancestry specific variants for metabolic syndrome. Mol Genet Metab. 2015;116(4):305–13. doi: 10.1016/j.ymgme.2015.10.008 26507551
37. Cooper RS, Tayo B, Zhu X, Genome-wide association studies: implications for multiethnic samples. Hum Mol Genet. 2008;17(R2):R151–5. doi: 10.1093/hmg/ddn263 18852204
38. Bulik-Sullivan BK, Loh PR, Finucane HK, Ripke S, Yang J, Schizophrenia Working Group of the Psychiatric Genomics Cet al. LD Score regression distinguishes confounding from polygenicity in genome-wide association studies. Nature genetics. 2015;47(3):291–5. doi: 10.1038/ng.3211 25642630
39. Zhu X, Feng T, Tayo BO, Liang J, Young JH, Franceschini N, et al. Meta-analysis of correlated traits via summary statistics from GWASs with an application in hypertension. American journal of human genetics. 2015;96(1):21–36. doi: 10.1016/j.ajhg.2014.11.011 25500260
40. Voight BF, Kudaravalli S, Wen X, Pritchard JK, A map of recent positive selection in the human genome. PLoS Biol. 2006;4(3):e72. doi: 10.1371/journal.pbio.0040072 16494531
41. Segre AV, Consortium D, investigators M, Groop L, Mootha VK, Daly MJ, et al. Common inherited variation in mitochondrial genes is not enriched for associations with type 2 diabetes or related glycemic traits. PLoS genetics. 2010;6(8).
42. Finucane HK, Bulik-Sullivan B, Gusev A, Trynka G, Reshef Y, Loh PR, et al. Partitioning heritability by functional annotation using genome-wide association summary statistics. Nature genetics. 2015;47(11):1228–35. doi: 10.1038/ng.3404 26414678
43. Pickrell JK, Joint analysis of functional genomic data and genome-wide association studies of 18 human traits. American journal of human genetics. 2014;94(4):559–73. doi: 10.1016/j.ajhg.2014.03.004 24702953
44. Franceschini N, Le TH, Genetics of hypertension: discoveries from the bench to human populations. Am J Physiol Renal Physiol. 2014;306(1):F1–F11. doi: 10.1152/ajprenal.00334.2013 24133117
45. Price DA, Fisher ND, The renin-angiotensin system in blacks: active, passive, or what?Curr Hypertens Rep. 2003;5(3):225–30. 12724055
46. Guzik TJ, Hoch NE, Brown KA, McCann LA, Rahman A, Dikalov S, et al. Role of the T cell in the genesis of angiotensin II induced hypertension and vascular dysfunction. The Journal of experimental medicine. 2007;204(10):2449–60. doi: 10.1084/jem.20070657 17875676
47. Madhur MS, Lob HE, McCann LA, Iwakura Y, Blinder Y, Guzik TJ, et al. Interleukin 17 promotes angiotensin II-induced hypertension and vascular dysfunction. Hypertension. 2010;55(2):500–7. doi: 10.1161/HYPERTENSIONAHA.109.145094 20038749
48. Quaggin SE, Schwartz L, Cui S, Igarashi P, Deimling J, Post M, et al. The basic-helix-loop-helix protein pod1 is critically important for kidney and lung organogenesis. Development. 1999;126(24):5771–83. 10572052
49. Fujimaki T, Oguri M, Horibe H, Kato K, Matsuoka R, Abe S, et al. Association of a transcription factor 21 gene polymorphism with hypertension. Biomedical reports. 2015;3(1):118–22. doi: 10.3892/br.2014.371 25469260
50. Buffon MP, Sortica DA, Gerchman F, Crispim D, Canani LH, FRMD3 gene: its role in diabetic kidney disease. A narrative review. Diabetology & metabolic syndrome. 2015;7:118.
51. Lisak DA, Schacht T, Enders V, Habicht J, Kiviluoto S, Schneider J, et al. The transmembrane Bax inhibitor motif (TMBIM) containing protein family: Tissue expression, intracellular localization and effects on the ER CA(2)(+)-filling state. Biochimica et biophysica acta. 2015;1853(9):2104–14. doi: 10.1016/j.bbamcr.2015.03.002 25764978
52. Saraiva N, Prole DL, Carrara G, Johnson BF, Taylor CW, Parsons M, et al. hGAAP promotes cell adhesion and migration via the stimulation of store-operated Ca2+ entry and calpain 2. The Journal of cell biology. 2013;202(4):699–713. doi: 10.1083/jcb.201301016 23940116
53. Guo DF, Sun YL, Hamet P, Inagami T, The angiotensin II type 1 receptor and receptor-associated proteins. Cell Res. 2001;11(3):165–80. doi: 10.1038/sj.cr.7290083 11642401
54. de Mattia F, Gubser C, van Dommelen MM, Visch HJ, Distelmaier F, Postigo A, et al. Human Golgi antiapoptotic protein modulates intracellular calcium fluxes. Mol Biol Cell. 2009;20(16):3638–45. doi: 10.1091/mbc.E09-05-0385 19553469
55. Cheng PW, Chen YY, Cheng WH, Lu PJ, Chen HH, Chen BR, et al. Wnt Signaling Regulates Blood Pressure by Downregulating a GSK-3beta-Mediated Pathway to Enhance Insulin Signaling in the Central Nervous System. Diabetes. 2015;64(10):3413–24. doi: 10.2337/db14-1439 25883115
56. Lederman S, Yellin MJ, Krichevsky A, Belko J, Lee JJ, Chess L, Identification of a novel surface protein on activated CD4+ T cells that induces contact-dependent B cell differentiation (help). The Journal of experimental medicine. 1992;175(4):1091–101. 1348081
57. Lozovoy MA, Simao AN, Morimoto HK, Iryioda TM, Panis C, Reiche EM, et al. Hypertension is associated with serologically active disease in patients with systemic lupus erythematosus: role of increased Th1/Th2 ratio and oxidative stress. Scandinavian journal of rheumatology. 2014;43(1):59–62. doi: 10.3109/03009742.2013.834963 24134304
58. Tracy RP, Doyle MF, Olson NC, Huber SA, Jenny NS, Sallam R, et al. T-helper type 1 bias in healthy people is associated with cytomegalovirus serology and atherosclerosis: the Multi-Ethnic Study of Atherosclerosis. Journal of the American Heart Association. 2013;2(3):e000117. doi: 10.1161/JAHA.113.000117 23688675
59. Mattson DL, Infiltrating immune cells in the kidney in salt-sensitive hypertension and renal injury. American journal of physiology Renal physiology. 2014;307(5):F499–508. doi: 10.1152/ajprenal.00258.2014 25007871
60. Dell'Omo G, Penno G, Pucci L, Lucchesi D, Del Prato S, Pedrinelli R, Lack of association between TGF-beta-1 genotypes and microalbuminuria in essential hypertensive men. Nephrology, dialysis, transplantation: official publication of the European Dialysis and Transplant Association—European Renal Association. 2009;24(6):1864–9.
61. Blasi ER, Rocha R, Rudolph AE, Blomme EA, Polly ML, McMahon EG, Aldosterone/salt induces renal inflammation and fibrosis in hypertensive rats. Kidney international. 2003;63(5):1791–800. doi: 10.1046/j.1523-1755.2003.00929.x 12675855
62. Elmarakby AA, Quigley JE, Imig JD, Pollock JS, Pollock DM, TNF-alpha inhibition reduces renal injury in DOCA-salt hypertensive rats. American journal of physiology Regulatory, integrative and comparative physiology. 2008;294(1):R76–83. doi: 10.1152/ajpregu.00466.2007 17989143
63. Nonaka-Sarukawa M, Okada T, Ito T, Yamamoto K, Yoshioka T, Nomoto T, et al. Adeno-associated virus vector-mediated systemic interleukin-10 expression ameliorates hypertensive organ damage in Dahl salt-sensitive rats. The journal of gene medicine. 2008;10(4):368–74. doi: 10.1002/jgm.1166 18205252
64. Trott DW, Harrison DG, The immune system in hypertension. Adv Physiol Educ. 2014;38(1):20–4. doi: 10.1152/advan.00063.2013 24585465
65. Andreassen OA, McEvoy LK, Thompson WK, Wang Y, Reppe S, Schork AJ, et al. Identifying common genetic variants in blood pressure due to polygenic pleiotropy with associated phenotypes. Hypertension. 2014;63(4):819–26. doi: 10.1161/HYPERTENSIONAHA.113.02077 24396023
66. Torkamani A, Topol EJ, Schork NJ, Pathway analysis of seven common diseases assessed by genome-wide association. Genomics. 2008;92(5):265–72. doi: 10.1016/j.ygeno.2008.07.011 18722519
67. Rudemiller NP, Lund H, Priestley JR, Endres BT, Prokop JW, Jacob HJ, et al. Mutation of SH2B3 (LNK), a genome-wide association study candidate for hypertension, attenuates Dahl salt-sensitive hypertension via inflammatory modulation. Hypertension. 2015;65(5):1111–7. doi: 10.1161/HYPERTENSIONAHA.114.04736 25776069
68. Levy D, Ehret GB, Rice K, Verwoert GC, Launer LJ, Dehghan A, et al. Genome-wide association study of blood pressure and hypertension. Nature genetics. 2009;41(6):677–87. doi: 10.1038/ng.384 19430479
69. Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL, Jr.et al. The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. JAMA: the journal of the American Medical Association. 2003;289(19):2560–72. doi: 10.1001/jama.289.19.2560 12748199
70. Collins AJ, Foley RN, Herzog C, Chavers B, Gilbertson D, Ishani A, et al. US Renal Data System 2012 Annual Data Report. Am J Kidney Dis. 2013;61(1 Suppl 1):A7, e1-476.
71. Howie B, Fuchsberger C, Stephens M, Marchini J, Abecasis GR, Fast and accurate genotype imputation in genome-wide association studies through pre-phasing. Nature genetics. 2012;44(8):955–9. doi: 10.1038/ng.2354 22820512
72. Howie BN, Donnelly P, Marchini J, A flexible and accurate genotype imputation method for the next generation of genome-wide association studies. PLoS genetics. 2009;5(6):e1000529. doi: 10.1371/journal.pgen.1000529 19543373
73. Genomes Project C, Abecasis GR, Auton A, Brooks LD, DePristo MA, Durbin RM, et al. An integrated map of genetic variation from 1,092 human genomes. Nature. 2012;491(7422):56–65. doi: 10.1038/nature11632 23128226
74. Price AL, Patterson NJ, Plenge RM, Weinblatt ME, Shadick NA, Reich D, Principal components analysis corrects for stratification in genome-wide association studies. Nature genetics. 2006;38(8):904–9. doi: 10.1038/ng1847 16862161
75. Zhu X, Zhang S, Zhao H, Cooper RS, Association mapping, using a mixture model for complex traits. Genet Epidemiol. 2002;23(2):181–96. doi: 10.1002/gepi.210 12214310
76. Winkler TW, Day FR, Croteau-Chonka DC, Wood AR, Locke AE, Magi R, et al. Quality control and conduct of genome-wide association meta-analyses. Nature protocols. 2014;9(5):1192–212. doi: 10.1038/nprot.2014.071 24762786
77. Willer CJ, Li Y, Abecasis GR, METAL: fast and efficient meta-analysis of genomewide association scans. Bioinformatics. 2010;26(17):2190–1. doi: 10.1093/bioinformatics/btq340 20616382
78. Li J, Ji L, Adjusting multiple testing in multilocus analyses using the eigenvalues of a correlation matrix. Heredity. 2005;95(3):221–7. doi: 10.1038/sj.hdy.6800717 16077740
79. Yang J, Ferreira T, Morris AP, Medland SE, Genetic Investigation of ATC, Replication DIG, et al. Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits. Nature genetics. 2012;44(4):369–75, S1-3. doi: 10.1038/ng.2213 22426310
80. Yang J, Lee SH, Goddard ME, Visscher PM, GCTA: a tool for genome-wide complex trait analysis. American journal of human genetics. 2011;88(1):76–82. doi: 10.1016/j.ajhg.2010.11.011 21167468
81. Thomas PD, Campbell MJ, Kejariwal A, Mi H, Karlak B, Daverman R, et al. PANTHER: a library of protein families and subfamilies indexed by function. Genome research. 2003;13(9):2129–41. doi: 10.1101/gr.772403 12952881
82. Bulik-Sullivan B, Finucane HK, Anttila V, Gusev A, Day FR, Loh PR, et al. An atlas of genetic correlations across human diseases and traits. Nature genetics. 2015;47(11):1236–41. doi: 10.1038/ng.3406 26414676
83. Wakefield J, A Bayesian measure of the probability of false discovery in genetic epidemiology studies. American journal of human genetics. 2007;81(2):208–27. doi: 10.1086/519024 17668372
84. Chu PL, Gigliotti JC, Cechova S, Bodonyi-Kovacs G, Chan F, Ralph DL, et al. Renal Collectrin Protects against Salt-Sensitive Hypertension and Is Downregulated by Angiotensin II. J Am Soc Nephrol. 2017.