@article {1273, title = {Association of genetic variation with systolic and diastolic blood pressure among African Americans: the Candidate Gene Association Resource study.}, journal = {Hum Mol Genet}, volume = {20}, year = {2011}, month = {2011 Jun 01}, pages = {2273-84}, abstract = {

The prevalence of hypertension in African Americans (AAs) is higher than in other US groups; yet, few have performed genome-wide association studies (GWASs) in AA. Among people of European descent, GWASs have identified genetic variants at 13 loci that are associated with blood pressure. It is unknown if these variants confer susceptibility in people of African ancestry. Here, we examined genome-wide and candidate gene associations with systolic blood pressure (SBP) and diastolic blood pressure (DBP) using the Candidate Gene Association Resource (CARe) consortium consisting of 8591 AAs. Genotypes included genome-wide single-nucleotide polymorphism (SNP) data utilizing the Affymetrix 6.0 array with imputation to 2.5 million HapMap SNPs and candidate gene SNP data utilizing a 50K cardiovascular gene-centric array (ITMAT-Broad-CARe [IBC] array). For Affymetrix data, the strongest signal for DBP was rs10474346 (P= 3.6 {\texttimes} 10(-8)) located near GPR98 and ARRDC3. For SBP, the strongest signal was rs2258119 in C21orf91 (P= 4.7 {\texttimes} 10(-8)). The top IBC association for SBP was rs2012318 (P= 6.4 {\texttimes} 10(-6)) near SLC25A42 and for DBP was rs2523586 (P= 1.3 {\texttimes} 10(-6)) near HLA-B. None of the top variants replicated in additional AA (n = 11 882) or European-American (n = 69 899) cohorts. We replicated previously reported European-American blood pressure SNPs in our AA samples (SH2B3, P= 0.009; TBX3-TBX5, P= 0.03; and CSK-ULK3, P= 0.0004). These genetic loci represent the best evidence of genetic influences on SBP and DBP in AAs to date. More broadly, this work supports that notion that blood pressure among AAs is a trait with genetic underpinnings but also with significant complexity.

}, keywords = {Adult, African Americans, Aged, Blood Pressure, Cohort Studies, Diastole, European Continental Ancestry Group, Female, Genetic Loci, Genome-Wide Association Study, Genotype, Humans, Hypertension, Male, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Systole}, issn = {1460-2083}, doi = {10.1093/hmg/ddr092}, author = {Fox, Ervin R and Young, J Hunter and Li, Yali and Dreisbach, Albert W and Keating, Brendan J and Musani, Solomon K and Liu, Kiang and Morrison, Alanna C and Ganesh, Santhi and Kutlar, Abdullah and Ramachandran, Vasan S and Polak, Josef F and Fabsitz, Richard R and Dries, Daniel L and Farlow, Deborah N and Redline, Susan and Adeyemo, Adebowale and Hirschorn, Joel N and Sun, Yan V and Wyatt, Sharon B and Penman, Alan D and Palmas, Walter and Rotter, Jerome I and Townsend, Raymond R and Doumatey, Ayo P and Tayo, Bamidele O and Mosley, Thomas H and Lyon, Helen N and Kang, Sun J and Rotimi, Charles N and Cooper, Richard S and Franceschini, Nora and Curb, J David and Martin, Lisa W and Eaton, Charles B and Kardia, Sharon L R and Taylor, Herman A and Caulfield, Mark J and Ehret, Georg B and Johnson, Toby and Chakravarti, Aravinda and Zhu, Xiaofeng and Levy, Daniel} } @article {1256, title = {Cystatin C identifies chronic kidney disease patients at higher risk for complications.}, journal = {J Am Soc Nephrol}, volume = {22}, year = {2011}, month = {2011 Jan}, pages = {147-55}, abstract = {

Although cystatin C is a stronger predictor of clinical outcomes associated with CKD than creatinine, the clinical role for cystatin C is unclear. We included 11,909 participants from the Multi-Ethnic Study of Atherosclerosis (MESA) and the Cardiovascular Health Study (CHS) and assessed risks for death, cardiovascular events, heart failure, and ESRD among persons categorized into mutually exclusive groups on the basis of the biomarkers that supported a diagnosis of CKD (eGFR <60 ml/min per 1.73 m(2)): creatinine only, cystatin C only, both, or neither. We used CKD-EPI equations to estimate GFR from these biomarkers. In MESA, 9\% had CKD by the creatinine-based equation only, 2\% had CKD by the cystatin C-based equation only, and 4\% had CKD by both equations; in CHS, these percentages were 12, 4, and 13\%, respectively. Compared with those without CKD, the adjusted hazard ratios (HR) for mortality in MESA were: 0.80 (95\% CI 0.50 to 1.26) for CKD by creatinine only; 3.23 (95\% CI 1.84 to 5.67) for CKD by cystatin C only; and 1.93 (95\% CI 1.27 to 2.92) for CKD by both; in CHS, the adjusted HR were 1.09 (95\% CI 0.98 to 1.21), 1.78 (95\% CI 1.53 to 2.08), and 1.74 (95\% CI 1.58 to 1.93), respectively. The pattern was similar for cardiovascular disease (CVD), heart failure, and kidney failure outcomes. In conclusion, among adults diagnosed with CKD using the creatinine-based CKD-EPI equation, the adverse prognosis is limited to the subset who also have CKD according to the cystatin C-based equation. Cystatin C may have a role in identifying persons with CKD who have the highest risk for complications.

}, keywords = {Aged, Aged, 80 and over, Biomarkers, Cardiovascular Diseases, Chronic Disease, Creatinine, Cystatin C, Disease Progression, Female, Glomerular Filtration Rate, Heart Failure, Humans, Kidney Diseases, Kidney Failure, Chronic, Male, Middle Aged, Predictive Value of Tests, Retrospective Studies, Risk Factors}, issn = {1533-3450}, doi = {10.1681/ASN.2010050483}, author = {Peralta, Carmen A and Katz, Ronit and Sarnak, Mark J and Ix, Joachim and Fried, Linda F and de Boer, Ian and Palmas, Walter and Siscovick, David and Levey, Andrew S and Shlipak, Michael G} } @article {1359, title = {Association between chromosome 9p21 variants and the ankle-brachial index identified by a meta-analysis of 21 genome-wide association studies.}, journal = {Circ Cardiovasc Genet}, volume = {5}, year = {2012}, month = {2012 Feb 01}, pages = {100-12}, abstract = {

BACKGROUND: Genetic determinants of peripheral arterial disease (PAD) remain largely unknown. To identify genetic variants associated with the ankle-brachial index (ABI), a noninvasive measure of PAD, we conducted a meta-analysis of genome-wide association study data from 21 population-based cohorts.

METHODS AND RESULTS: Continuous ABI and PAD (ABI <=0.9) phenotypes adjusted for age and sex were examined. Each study conducted genotyping and imputed data to the ≈2.5 million single nucleotide polymorphisms (SNPs) in HapMap. Linear and logistic regression models were used to test each SNP for association with ABI and PAD using additive genetic models. Study-specific data were combined using fixed effects inverse variance weighted meta-analyses. There were a total of 41 692 participants of European ancestry (≈60\% women, mean ABI 1.02 to 1.19), including 3409 participants with PAD and with genome-wide association study data available. In the discovery meta-analysis, rs10757269 on chromosome 9 near CDKN2B had the strongest association with ABI (β=-0.006, P=2.46{\texttimes}10(-8)). We sought replication of the 6 strongest SNP associations in 5 population-based studies and 3 clinical samples (n=16 717). The association for rs10757269 strengthened in the combined discovery and replication analysis (P=2.65{\texttimes}10(-9)). No other SNP associations for ABI or PAD achieved genome-wide significance. However, 2 previously reported candidate genes for PAD and 1 SNP associated with coronary artery disease were associated with ABI: DAB21P (rs13290547, P=3.6{\texttimes}10(-5)), CYBA (rs3794624, P=6.3{\texttimes}10(-5)), and rs1122608 (LDLR, P=0.0026).

CONCLUSIONS: Genome-wide association studies in more than 40 000 individuals identified 1 genome wide significant association on chromosome 9p21 with ABI. Two candidate genes for PAD and 1 SNP for coronary artery disease are associated with ABI.

}, keywords = {Adult, Age Factors, Aged, Aged, 80 and over, Alleles, Ankle Brachial Index, Chromosomes, Human, Pair 9, Cohort Studies, Cyclin-Dependent Kinase Inhibitor p15, Female, Genome-Wide Association Study, Genotype, HapMap Project, Humans, Logistic Models, Male, Middle Aged, Peripheral Vascular Diseases, Phenotype, Polymorphism, Single Nucleotide, Risk Factors, Sex Factors}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.111.961292}, author = {Murabito, Joanne M and White, Charles C and Kavousi, Maryam and Sun, Yan V and Feitosa, Mary F and Nambi, Vijay and Lamina, Claudia and Schillert, Arne and Coassin, Stefan and Bis, Joshua C and Broer, Linda and Crawford, Dana C and Franceschini, Nora and Frikke-Schmidt, Ruth and Haun, Margot and Holewijn, Suzanne and Huffman, Jennifer E and Hwang, Shih-Jen and Kiechl, Stefan and Kollerits, Barbara and Montasser, May E and Nolte, Ilja M and Rudock, Megan E and Senft, Andrea and Teumer, Alexander and van der Harst, Pim and Vitart, Veronique and Waite, Lindsay L and Wood, Andrew R and Wassel, Christina L and Absher, Devin M and Allison, Matthew A and Amin, Najaf and Arnold, Alice and Asselbergs, Folkert W and Aulchenko, Yurii and Bandinelli, Stefania and Barbalic, Maja and Boban, Mladen and Brown-Gentry, Kristin and Couper, David J and Criqui, Michael H and Dehghan, Abbas and den Heijer, Martin and Dieplinger, Benjamin and Ding, Jingzhong and D{\"o}rr, Marcus and Espinola-Klein, Christine and Felix, Stephan B and Ferrucci, Luigi and Folsom, Aaron R and Fraedrich, Gustav and Gibson, Quince and Goodloe, Robert and Gunjaca, Grgo and Haltmayer, Meinhard and Heiss, Gerardo and Hofman, Albert and Kieback, Arne and Kiemeney, Lambertus A and Kolcic, Ivana and Kullo, Iftikhar J and Kritchevsky, Stephen B and Lackner, Karl J and Li, Xiaohui and Lieb, Wolfgang and Lohman, Kurt and Meisinger, Christa and Melzer, David and Mohler, Emile R and Mudnic, Ivana and Mueller, Thomas and Navis, Gerjan and Oberhollenzer, Friedrich and Olin, Jeffrey W and O{\textquoteright}Connell, Jeff and O{\textquoteright}Donnell, Christopher J and Palmas, Walter and Penninx, Brenda W and Petersmann, Astrid and Polasek, Ozren and Psaty, Bruce M and Rantner, Barbara and Rice, Ken and Rivadeneira, Fernando and Rotter, Jerome I and Seldenrijk, Adrie and Stadler, Marietta and Summerer, Monika and Tanaka, Toshiko and Tybjaerg-Hansen, Anne and Uitterlinden, Andr{\'e} G and van Gilst, Wiek H and Vermeulen, Sita H and Wild, Sarah H and Wild, Philipp S and Willeit, Johann and Zeller, Tanja and Zemunik, Tatijana and Zgaga, Lina and Assimes, Themistocles L and Blankenberg, Stefan and Boerwinkle, Eric and Campbell, Harry and Cooke, John P and de Graaf, Jacqueline and Herrington, David and Kardia, Sharon L R and Mitchell, Braxton D and Murray, Anna and M{\"u}nzel, Thomas and Newman, Anne B and Oostra, Ben A and Rudan, Igor and Shuldiner, Alan R and Snieder, Harold and van Duijn, Cornelia M and V{\"o}lker, Uwe and Wright, Alan F and Wichmann, H-Erich and Wilson, James F and Witteman, Jacqueline C M and Liu, Yongmei and Hayward, Caroline and Borecki, Ingrid B and Ziegler, Andreas and North, Kari E and Cupples, L Adrienne and Kronenberg, Florian} } @article {6287, title = {Genome-wide association of body fat distribution in African ancestry populations suggests new loci.}, journal = {PLoS Genet}, volume = {9}, year = {2013}, month = {2013}, pages = {e1003681}, abstract = {

Central obesity, measured by waist circumference (WC) or waist-hip ratio (WHR), is a marker of body fat distribution. Although obesity disproportionately affects minority populations, few studies have conducted genome-wide association study (GWAS) of fat distribution among those of predominantly African ancestry (AA). We performed GWAS of WC and WHR, adjusted and unadjusted for BMI, in up to 33,591 and 27,350 AA individuals, respectively. We identified loci associated with fat distribution in AA individuals using meta-analyses of GWA results for WC and WHR (stage 1). Overall, 25 SNPs with single genomic control (GC)-corrected p-values<5.0 {\texttimes} 10(-6) were followed-up (stage 2) in AA with WC and with WHR. Additionally, we interrogated genomic regions of previously identified European ancestry (EA) WHR loci among AA. In joint analysis of association results including both Stage 1 and 2 cohorts, 2 SNPs demonstrated association, rs2075064 at LHX2, p = 2.24{\texttimes}10(-8) for WC-adjusted-for-BMI, and rs6931262 at RREB1, p = 2.48{\texttimes}10(-8) for WHR-adjusted-for-BMI. However, neither signal was genome-wide significant after double GC-correction (LHX2: p = 6.5 {\texttimes} 10(-8); RREB1: p = 5.7 {\texttimes} 10(-8)). Six of fourteen previously reported loci for waist in EA populations were significant (p<0.05 divided by the number of independent SNPs within the region) in AA studied here (TBX15-WARS2, GRB14, ADAMTS9, LY86, RSPO3, ITPR2-SSPN). Further, we observed associations with metabolic traits: rs13389219 at GRB14 associated with HDL-cholesterol, triglycerides, and fasting insulin, and rs13060013 at ADAMTS9 with HDL-cholesterol and fasting insulin. Finally, we observed nominal evidence for sexual dimorphism, with stronger results in AA women at the GRB14 locus (p for interaction = 0.02). In conclusion, we identified two suggestive loci associated with fat distribution in AA populations in addition to confirming 6 loci previously identified in populations of EA. These findings reinforce the concept that there are fat distribution loci that are independent of generalized adiposity.

}, keywords = {Adiposity, African Continental Ancestry Group, Body Fat Distribution, European Continental Ancestry Group, Female, Genetic Loci, Genome-Wide Association Study, Humans, Male, Obesity, Polymorphism, Single Nucleotide, Waist-Hip Ratio}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1003681}, author = {Liu, Ching-Ti and Monda, Keri L and Taylor, Kira C and Lange, Leslie and Demerath, Ellen W and Palmas, Walter and Wojczynski, Mary K and Ellis, Jaclyn C and Vitolins, Mara Z and Liu, Simin and Papanicolaou, George J and Irvin, Marguerite R and Xue, Luting and Griffin, Paula J and Nalls, Michael A and Adeyemo, Adebowale and Liu, Jiankang and Li, Guo and Ruiz-Narvaez, Edward A and Chen, Wei-Min and Chen, Fang and Henderson, Brian E and Millikan, Robert C and Ambrosone, Christine B and Strom, Sara S and Guo, Xiuqing and Andrews, Jeanette S and Sun, Yan V and Mosley, Thomas H and Yanek, Lisa R and Shriner, Daniel and Haritunians, Talin and Rotter, Jerome I and Speliotes, Elizabeth K and Smith, Megan and Rosenberg, Lynn and Mychaleckyj, Josyf and Nayak, Uma and Spruill, Ida and Garvey, W Timothy and Pettaway, Curtis and Nyante, Sarah and Bandera, Elisa V and Britton, Angela F and Zonderman, Alan B and Rasmussen-Torvik, Laura J and Chen, Yii-Der Ida and Ding, Jingzhong and Lohman, Kurt and Kritchevsky, Stephen B and Zhao, Wei and Peyser, Patricia A and Kardia, Sharon L R and Kabagambe, Edmond and Broeckel, Ulrich and Chen, Guanjie and Zhou, Jie and Wassertheil-Smoller, Sylvia and Neuhouser, Marian L and Rampersaud, Evadnie and Psaty, Bruce and Kooperberg, Charles and Manson, JoAnn E and Kuller, Lewis H and Ochs-Balcom, Heather M and Johnson, Karen C and Sucheston, Lara and Ordovas, Jose M and Palmer, Julie R and Haiman, Christopher A and McKnight, Barbara and Howard, Barbara V and Becker, Diane M and Bielak, Lawrence F and Liu, Yongmei and Allison, Matthew A and Grant, Struan F A and Burke, Gregory L and Patel, Sanjay R and Schreiner, Pamela J and Borecki, Ingrid B and Evans, Michele K and Taylor, Herman and Sale, Mich{\`e}le M and Howard, Virginia and Carlson, Christopher S and Rotimi, Charles N and Cushman, Mary and Harris, Tamara B and Reiner, Alexander P and Cupples, L Adrienne and North, Kari E and Fox, Caroline S} } @article {7571, title = {Genome-Wide Association Study Meta-Analysis of Long-Term Average Blood Pressure in East Asians.}, journal = {Circ Cardiovasc Genet}, volume = {10}, year = {2017}, month = {2017 Apr}, pages = {e001527}, abstract = {

BACKGROUND: Genome-wide single marker and gene-based meta-analyses of long-term average (LTA) blood pressure (BP) phenotypes may reveal novel findings for BP.

METHODS AND RESULTS: We conducted genome-wide analysis among 18 422 East Asian participants (stage 1) followed by replication study of <=46 629 participants of European ancestry (stage 2). Significant single-nucleotide polymorphisms and genes were determined by a P<5.0{\texttimes}10-8 and 2.5{\texttimes}10-6, respectively, in joint analyses of stage-1 and stage-2 data. We identified 1 novel ARL3 variant, rs4919669 at 10q24.32, influencing LTA systolic BP (stage-1 P=5.03{\texttimes}10-8, stage-2 P=8.64{\texttimes}10-3, joint P=2.63{\texttimes}10-8) and mean arterial pressure (stage-1 P=3.59{\texttimes}10-9, stage-2 P=2.35{\texttimes}10-2, joint P=2.64{\texttimes}10-8). Three previously reported BP loci (WBP1L, NT5C2, and ATP2B1) were also identified for all BP phenotypes. Gene-based analysis provided the first robust evidence for association of KCNJ11 with LTA systolic BP (stage-1 P=8.55{\texttimes}10-6, stage-2 P=1.62{\texttimes}10-5, joint P=3.28{\texttimes}10-9) and mean arterial pressure (stage-1 P=9.19{\texttimes}10-7, stage-2 P=9.69{\texttimes}10-5, joint P=2.15{\texttimes}10-9) phenotypes. Fourteen genes (TMEM180, ACTR1A, SUFU, ARL3, SFXN2, WBP1L, CYP17A1, C10orf32, C10orf32-ASMT, AS3MT, CNNM2, and NT5C2 at 10q24.32; ATP2B1 at 12q21.33; and NCR3LG1 at 11p15.1) implicated by previous genome-wide association study meta-analyses were also identified. Among the loci identified by the previous genome-wide association study meta-analysis of LTA BP, we transethnically replicated associations of the KCNK3 marker rs1275988 at 2p23.3 with LTA systolic BP and mean arterial pressure phenotypes (P=1.27{\texttimes}10-4 and 3.30{\texttimes}10-4, respectively).

CONCLUSIONS: We identified 1 novel variant and 1 novel gene and present the first direct evidence of relevance of the KCNK3 locus for LTA BP among East Asians.

}, keywords = {Asian Continental Ancestry Group, Blood Pressure, Far East, Female, Genetic Loci, Genome-Wide Association Study, Humans, Male, Phenotype, Polymorphism, Single Nucleotide}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.116.001527}, author = {Li, Changwei and Kim, Yun Kyoung and Dorajoo, Rajkumar and Li, Huaixing and Lee, I-Te and Cheng, Ching-Yu and He, Meian and Sheu, Wayne H-H and Guo, Xiuqing and Ganesh, Santhi K and He, Jiang and Lee, Juyoung and Liu, Jianjun and Hu, Yao and Rao, Dabeeru C and Tsai, Fuu-Jen and Koh, Jia Yu and Hu, Hua and Liang, Kae-Woei and Palmas, Walter and Hixson, James E and Han, Sohee and Teo, Yik-Ying and Wang, Yiqin and Chen, Jing and Lu, Chieh Hsiang and Zheng, Yingfeng and Gui, Lixuan and Lee, Wen-Jane and Yao, Jie and Gu, Dongfeng and Han, Bok-Ghee and Sim, Xueling and Sun, Liang and Zhao, Jinying and Chen, Chien-Hsiun and Kumari, Neelam and He, Yunfeng and Taylor, Kent D and Raffel, Leslie J and Moon, Sanghoon and Rotter, Jerome I and Ida Chen, Yii-Der and Wu, Tangchun and Wong, Tien Yin and Wu, Jer-Yuarn and Lin, Xu and Tai, E-Shyong and Kim, Bong-Jo and Kelly, Tanika N} } @article {7572, title = {Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations.}, journal = {PLoS Genet}, volume = {13}, year = {2017}, month = {2017 May}, pages = {e1006728}, abstract = {

Hypertension is a leading cause of global disease, mortality, and disability. While individuals of African descent suffer a disproportionate burden of hypertension and its complications, they have been underrepresented in genetic studies. To identify novel susceptibility loci for blood pressure and hypertension in people of African ancestry, we performed both single and multiple-trait genome-wide association analyses. We analyzed 21 genome-wide association studies comprised of 31,968 individuals of African ancestry, and validated our results with additional 54,395 individuals from multi-ethnic studies. These analyses identified nine loci with eleven independent variants which reached genome-wide significance (P < 1.25{\texttimes}10-8) for either systolic and diastolic blood pressure, hypertension, or for combined traits. Single-trait analyses identified two loci (TARID/TCF21 and LLPH/TMBIM4) and multiple-trait analyses identified one novel locus (FRMD3) for blood pressure. At these three loci, as well as at GRP20/CDH17, associated variants had alleles common only in African-ancestry populations. Functional annotation showed enrichment for genes expressed in immune and kidney cells, as well as in heart and vascular cells/tissues. Experiments driven by these findings and using angiotensin-II induced hypertension in mice showed altered kidney mRNA expression of six genes, suggesting their potential role in hypertension. Our study provides new evidence for genes related to hypertension susceptibility, and the need to study African-ancestry populations in order to identify biologic factors contributing to hypertension.

}, keywords = {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}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1006728}, author = {Liang, Jingjing and Le, Thu H and Edwards, Digna R Velez and Tayo, Bamidele O and Gaulton, Kyle J and Smith, Jennifer A and Lu, Yingchang and Jensen, Richard A and Chen, Guanjie and Yanek, Lisa R and Schwander, Karen and Tajuddin, Salman M and Sofer, Tamar and Kim, Wonji and Kayima, James and McKenzie, Colin A and Fox, Ervin and Nalls, Michael A and Young, J Hunter and Sun, Yan V and Lane, Jacqueline M and Cechova, Sylvia and Zhou, Jie and Tang, Hua and Fornage, Myriam and Musani, Solomon K and Wang, Heming and Lee, Juyoung and Adeyemo, Adebowale and Dreisbach, Albert W and Forrester, Terrence and Chu, Pei-Lun and Cappola, Anne and Evans, Michele K and Morrison, Alanna C and Martin, Lisa W and Wiggins, Kerri L and Hui, Qin and Zhao, Wei and Jackson, Rebecca D and Ware, Erin B and Faul, Jessica D and Reiner, Alex P and Bray, Michael and Denny, Joshua C and Mosley, Thomas H and Palmas, Walter and Guo, Xiuqing and Papanicolaou, George J and Penman, Alan D and Polak, Joseph F and Rice, Kenneth and Taylor, Ken D and Boerwinkle, Eric and Bottinger, Erwin P and Liu, Kiang and Risch, Neil and Hunt, Steven C and Kooperberg, Charles and Zonderman, Alan B and Laurie, Cathy C and Becker, Diane M and Cai, Jianwen and Loos, Ruth J F and Psaty, Bruce M and Weir, David R and Kardia, Sharon L R and Arnett, Donna K and Won, Sungho and Edwards, Todd L and Redline, Susan and Cooper, Richard S and Rao, D C and Rotter, Jerome I and Rotimi, Charles and Levy, Daniel and Chakravarti, Aravinda and Zhu, Xiaofeng and Franceschini, Nora} } @article {9372, title = {Genome-Wide Association Study of Apparent Treatment-Resistant Hypertension in the CHARGE Consortium: The CHARGE Pharmacogenetics Working Group.}, journal = {Am J Hypertens}, volume = {32}, year = {2019}, month = {2019 Nov 15}, pages = {1146-1153}, abstract = {

BACKGROUND: Only a handful of genetic discovery efforts in apparent treatment-resistant hypertension (aTRH) have been described.

METHODS: We conducted a case-control genome-wide association study of aTRH among persons treated for hypertension, using data from 10 cohorts of European ancestry (EA) and 5 cohorts of African ancestry (AA). Cases were treated with 3 different antihypertensive medication classes and had blood pressure (BP) above goal (systolic BP >= 140 mm Hg and/or diastolic BP >= 90 mm Hg) or 4 or more medication classes regardless of BP control (nEA = 931, nAA = 228). Both a normotensive control group and a treatment-responsive control group were considered in separate analyses. Normotensive controls were untreated (nEA = 14,210, nAA = 2,480) and had systolic BP/diastolic BP < 140/90 mm Hg. Treatment-responsive controls (nEA = 5,266, nAA = 1,817) had BP at goal (<140/90 mm Hg), while treated with one antihypertensive medication class. Individual cohorts used logistic regression with adjustment for age, sex, study site, and principal components for ancestry to examine the association of single-nucleotide polymorphisms with case-control status. Inverse variance-weighted fixed-effects meta-analyses were carried out using METAL.

RESULTS: The known hypertension locus, CASZ1, was a top finding among EAs (P = 1.1 {\texttimes} 10-8) and in the race-combined analysis (P = 1.5 {\texttimes} 10-9) using the normotensive control group (rs12046278, odds ratio = 0.71 (95\% confidence interval: 0.6-0.8)). Single-nucleotide polymorphisms in this locus were robustly replicated in the Million Veterans Program (MVP) study in consideration of a treatment-responsive control group. There were no statistically significant findings for the discovery analyses including treatment-responsive controls.

CONCLUSION: This genomic discovery effort for aTRH identified CASZ1 as an aTRH risk locus.

}, keywords = {Aged, Antihypertensive Agents, Black or African American, Blood Pressure, Case-Control Studies, DNA (Cytosine-5-)-Methyltransferases, DNA Methyltransferase 3A, DNA-Binding Proteins, Drug Resistance, Dystrophin-Associated Proteins, Europe, Female, Genetic Loci, Genome-Wide Association Study, Humans, Hypertension, Male, Middle Aged, Myosin Heavy Chains, Myosin Type V, Neuropeptides, Pharmacogenetics, Pharmacogenomic Variants, Polymorphism, Single Nucleotide, Risk Assessment, Risk Factors, Transcription Factors, United States, White People}, issn = {1941-7225}, doi = {10.1093/ajh/hpz150}, author = {Irvin, Marguerite R and Sitlani, Colleen M and Floyd, James S and Psaty, Bruce M and Bis, Joshua C and Wiggins, Kerri L and Whitsel, Eric A and St{\"u}rmer, Til and Stewart, James and Raffield, Laura and Sun, Fangui and Liu, Ching-Ti and Xu, Hanfei and Cupples, Adrienne L and Tanner, Rikki M and Rossing, Peter and Smith, Albert and Zilh{\~a}o, Nuno R and Launer, Lenore J and Noordam, Raymond and Rotter, Jerome I and Yao, Jie and Li, Xiaohui and Guo, Xiuqing and Limdi, Nita and Sundaresan, Aishwarya and Lange, Leslie and Correa, Adolfo and Stott, David J and Ford, Ian and Jukema, J Wouter and Gudnason, Vilmundur and Mook-Kanamori, Dennis O and Trompet, Stella and Palmas, Walter and Warren, Helen R and Hellwege, Jacklyn N and Giri, Ayush and O{\textquoteright}donnell, Christopher and Hung, Adriana M and Edwards, Todd L and Ahluwalia, Tarunveer S and Arnett, Donna K and Avery, Christy L} } @article {9379, title = {Evaluating the use of blood pressure polygenic risk scores across race/ethnic background groups.}, journal = {Nat Commun}, volume = {14}, year = {2023}, month = {2023 Jun 02}, pages = {3202}, abstract = {

We assess performance and limitations of polygenic risk scores (PRSs) for multiple blood pressure (BP) phenotypes in diverse population groups. We compare "clumping-and-thresholding" (PRSice2) and LD-based (LDPred2) methods to construct PRSs from each of multiple GWAS, as well as multi-PRS approaches that sum PRSs with and without weights, including PRS-CSx. We use datasets from the MGB Biobank, TOPMed study, UK biobank, and from All of Us to train, assess, and validate PRSs in groups defined by self-reported race/ethnic background (Asian, Black, Hispanic/Latino, and White). For both SBP and DBP, the PRS-CSx based PRS, constructed as a weighted sum of PRSs developed from multiple independent GWAS, perform best across all race/ethnic backgrounds. Stratified analysis in All of Us shows that PRSs are better predictive of BP in females compared to males, individuals without obesity, and middle-aged (40-60 years) compared to older and younger individuals.

}, keywords = {Blood Pressure, Ethnicity, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Multifactorial Inheritance, Population Health, Risk Factors}, issn = {2041-1723}, doi = {10.1038/s41467-023-38990-9}, author = {Kurniansyah, Nuzulul and Goodman, Matthew O and Khan, Alyna T and Wang, Jiongming and Feofanova, Elena and Bis, Joshua C and Wiggins, Kerri L and Huffman, Jennifer E and Kelly, Tanika and Elfassy, Tali and Guo, Xiuqing and Palmas, Walter and Lin, Henry J and Hwang, Shih-Jen and Gao, Yan and Young, Kendra and Kinney, Gregory L and Smith, Jennifer A and Yu, Bing and Liu, Simin and Wassertheil-Smoller, Sylvia and Manson, JoAnn E and Zhu, Xiaofeng and Chen, Yii-Der Ida and Lee, I-Te and Gu, C Charles and Lloyd-Jones, Donald M and Z{\"o}llner, Sebastian and Fornage, Myriam and Kooperberg, Charles and Correa, Adolfo and Psaty, Bruce M and Arnett, Donna K and Isasi, Carmen R and Rich, Stephen S and Kaplan, Robert C and Redline, Susan and Mitchell, Braxton D and Franceschini, Nora and Levy, Daniel and Rotter, Jerome I and Morrison, Alanna C and Sofer, Tamar} }