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

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

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. We conducted a multiancestry whole-genome sequencing analysis of blood pressure among 51 456...

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Veröffentlicht in:Hypertension (Dallas, Tex. 1979) Tex. 1979), 2022-08, Vol.79 (8), p.1656-1667
Hauptverfasser: 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, 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., 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, 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., Blangero, John, Redline, Susan, Mitchell, Braxton D., 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.
Format: Artikel
Sprache:eng
Schlagworte:
Blood Pressure - genetics
Genome-Wide Association Study
Genomics
Humans
Hypertension - genetics
Polymorphism, Single Nucleotide
Precision Medicine
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Zusammenfassung: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. 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. Two blood pressure signals achieved genome-wide significance in meta-analyses of stage-1 and stage-2 single variant findings (
ISSN:0194-911X
1524-4563
1524-4563
DOI:10.1161/HYPERTENSIONAHA.122.19324