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31 results on '"Jaquish, Cashell E"'

1. Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program

Author

Taliun, Daniel, Harris, Daniel N., Kessler, Michael D., Carlson, Jedidiah, Szpiech, Zachary A., Torres, Raul, Taliun, Sarah A. Gagliano, Corvelo, André, Gogarten, Stephanie M., Kang, Hyun Min, Pitsillides, Achilleas N., LeFaive, Jonathon, Lee, Seung-been, Tian, Xiaowen, Browning, Brian L., Das, Sayantan, Emde, Anne-Katrin, Clarke, Wayne E., Loesch, Douglas P., Shetty, Amol C., Blackwell, Thomas W., Smith, Albert V., Wong, Quenna, Liu, Xiaoming, Conomos, Matthew P., Bobo, Dean M., Aguet, François, Albert, Christine, Alonso, Alvaro, Ardlie, Kristin G., Arking, Dan E., Aslibekyan, Stella, Auer, Paul L., Barnard, John, Barr, R. Graham, Barwick, Lucas, Becker, Lewis C., Beer, Rebecca L., Benjamin, Emelia J., Bielak, Lawrence F., Blangero, John, Boehnke, Michael, Bowden, Donald W., Brody, Jennifer A., Burchard, Esteban G., Cade, Brian E., Casella, James F., Chalazan, Brandon, Chasman, Daniel I., Chen, Yii-Der Ida, Cho, Michael H., Choi, Seung Hoan, Chung, Mina K., Clish, Clary B., Correa, Adolfo, Curran, Joanne E., Custer, Brian, Darbar, Dawood, Daya, Michelle, de Andrade, Mariza, DeMeo, Dawn L., Dutcher, Susan K., Ellinor, Patrick T., Emery, Leslie S., Eng, Celeste, Fatkin, Diane, Fingerlin, Tasha, Forer, Lukas, Fornage, Myriam, Franceschini, Nora, Fuchsberger, Christian, Fullerton, Stephanie M., Germer, Soren, Gladwin, Mark T., Gottlieb, Daniel J., Guo, Xiuqing, Hall, Michael E., He, Jiang, Heard-Costa, Nancy L., Heckbert, Susan R., Irvin, Marguerite R., Johnsen, Jill M., Johnson, Andrew D., Kaplan, Robert, Kardia, Sharon L. R., Kelly, Tanika, Kelly, Shannon, Kenny, Eimear E., Kiel, Douglas P., Klemmer, Robert, Konkle, Barbara A., Kooperberg, Charles, Köttgen, Anna, Lange, Leslie A., Lasky-Su, Jessica, Levy, Daniel, Lin, Xihong, Lin, Keng-Han, Liu, Chunyu, Loos, Ruth J. F., Garman, Lori, Gerszten, Robert, Lubitz, Steven A., Lunetta, Kathryn L., Mak, Angel C. Y., Manichaikul, Ani, Manning, Alisa K., Mathias, Rasika A., McManus, David D., McGarvey, Stephen T., Meigs, James B., Meyers, Deborah A., Mikulla, Julie L., Minear, Mollie A., Mitchell, Braxton D., Mohanty, Sanghamitra, Montasser, May E., Montgomery, Courtney, Morrison, Alanna C., Murabito, Joanne M., Natale, Andrea, Natarajan, Pradeep, Nelson, Sarah C., North, Kari E., O’Connell, Jeffrey R., Palmer, Nicholette D., Pankratz, Nathan, Peloso, Gina M., Peyser, Patricia A., Pleiness, Jacob, Post, Wendy S., Psaty, Bruce M., Rao, D. C., Redline, Susan, Reiner, Alexander P., Roden, Dan, Rotter, Jerome I., Ruczinski, Ingo, Sarnowski, Chloé, Schoenherr, Sebastian, Schwartz, David A., Seo, Jeong-Sun, Seshadri, Sudha, Sheehan, Vivien A., Sheu, Wayne H., Shoemaker, M. Benjamin, Smith, Nicholas L., Smith, Jennifer A., Sotoodehnia, Nona, Stilp, Adrienne M., Tang, Weihong, Taylor, Kent D., Telen, Marilyn, Thornton, Timothy A., Tracy, Russell P., Van Den Berg, David J., Vasan, Ramachandran S., Viaud-Martinez, Karine A., Vrieze, Scott, Weeks, Daniel E., Weir, Bruce S., Weiss, Scott T., Weng, Lu-Chen, Willer, Cristen J., Zhang, Yingze, Zhao, Xutong, Arnett, Donna K., Ashley-Koch, Allison E., Barnes, Kathleen C., Boerwinkle, Eric, Gabriel, Stacey, Gibbs, Richard, Rice, Kenneth M., Rich, Stephen S., Silverman, Edwin K., Qasba, Pankaj, Gan, Weiniu, Papanicolaou, George J., Nickerson, Deborah A., Browning, Sharon R., Zody, Michael C., Zöllner, Sebastian, Wilson, James G., Cupples, L. Adrienne, Laurie, Cathy C., Jaquish, Cashell E., Hernandez, Ryan D., O’Connor, Timothy D., and Abecasis, Gonçalo R.

Abstract

The Trans-Omics for Precision Medicine (TOPMed) programme seeks to elucidate the genetic architecture and biology of heart, lung, blood and sleep disorders, with the ultimate goal of improving diagnosis, treatment and prevention of these diseases. The initial phases of the programme focused on whole-genome sequencing of individuals with rich phenotypic data and diverse backgrounds. Here we describe the TOPMed goals and design as well as the available resources and early insights obtained from the sequence data. The resources include a variant browser, a genotype imputation server, and genomic and phenotypic data that are available through dbGaP (Database of Genotypes and Phenotypes)1. In the first 53,831 TOPMed samples, we detected more than 400 million single-nucleotide and insertion or deletion variants after alignment with the reference genome. Additional previously undescribed variants were detected through assembly of unmapped reads and customized analysis in highly variable loci. Among the more than 400 million detected variants, 97% have frequencies of less than 1% and 46% are singletons that are present in only one individual (53% among unrelated individuals). These rare variants provide insights into mutational processes and recent human evolutionary history. The extensive catalogue of genetic variation in TOPMed studies provides unique opportunities for exploring the contributions of rare and noncoding sequence variants to phenotypic variation. Furthermore, combining TOPMed haplotypes with modern imputation methods improves the power and reach of genome-wide association studies to include variants down to a frequency of approximately 0.01%.

Published
2021
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2. Genome-Wide Gene-Potassium Interaction Analyses on Blood Pressure: The GenSalt Study (Genetic Epidemiology Network of Salt Sensitivity).

Author

Changwei Li, Jiang He, Jing Chen, Jinying Zhao, Dongfeng Gu, Hixson, James E., Rao, Dabeeru C., Jaquish, Cashell E., Rice, Treva K., Yun Ju Sung, and Kelly, Tanika N.

Abstract

Background--Gene-environmental interaction analysis can identify novel genetic factors for blood pressure (BP). We performed genome-wide analyses to identify genomic loci that interact with potassium to influence BP using single-marker (1 and 2 df joint tests) and gene-based tests among Chinese participants of the GenSalt study (Genetic Epidemiology Network of Salt Sensitivity). Methods and Results--Among 1876 GenSalt participants, the average of 3 urine samples was used to estimate potassium excretion. Nine BP measurements were taken using a random-zero sphygmomanometer. A total of 2.2 million single nucleotide polymorphisms were imputed using Affymetrix 6.0 genotype data and the Chinese Han of Beijing and Japanese of Tokyo HapMap reference panel. Promising findings (P<1.00×10-4) from GenSalt were evaluated for replication among 775 Chinese participants of the MESA (Multi-ethnic Study of Atherosclerosis). Single nucleotide polymorphism and genebased results were meta-analyzed across the GenSalt and MESA studies to determine genome-wide significance. The 1 df tests identified interactions for ARL15 rs16882447 on systolic BP (P=2.83×10-9) and RANBP3L rs958929 on pulse pressure (P=1.58×10-8). The 2 df tests confirmed the ARL15 rs16882447 signal for systolic BP (P=1.15×10-9). Genome-wide genebased analysis identified CC2D2A (P=2.59×10-7) at 4p15.32 and BNC2 (P=4.49×10-10) at 9p22.2 for systolic BP, GGNBP1 (P=1.18×10-8), and LINC00336 (P=1.36×10-8) at 6p21 for diastolic BP, DAB1 (P=1.05×10-13) at 1p32.2, and MIR4466 (P=5.34×10-8) at 6q25.3 for pulse pressure. The BNC2 (P=3.57×10-8) gene was also significant for mean arterial pressure. Conclusions--We identified 2 novel BP loci and 6 genes through the examination of single nucleotide polymorphism- and gene-based interactions with potassium. [ABSTRACT FROM AUTHOR]

Published
2017
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3. An APOOPseudogene on Chromosome 5q Is Associated With Low-Density Lipoprotein Cholesterol Levels

Author

Montasser, May E., O’Hare, Elizabeth A., Wang, Xiaochun, Howard, Alicia D., McFarland, Rebecca, Perry, James A., Ryan, Kathleen A., Rice, Kenneth, Jaquish, Cashell E., Shuldiner, Alan R., Miller, Michael, Mitchell, Braxton D., Zaghloul, Norann A., Chang, Yen-Pei C., Abe, Namiko, Abecasis, Goncalo, Albert, Christine, Allred, Nicholette P., Almasy, Laura, Alonso, Alvaro, Ament, Seth, Anderson, Peter, Anugu, Pramod, Applebaum-Bowden, Debora, Arking, Dan, Arnett, Donna K, Ashley-Koch, Allison, Aslibekyan, Stella, Assimes, Tim, Auer, Paul, Avramopoulos, Dimitrios, Barnard, John, Barnes, Kathleen, Graham Barr, R., Barron-Casella, Emily, Beaty, Terri, Becker, Diane, Becker, Lewis, Beer, Rebecca, Begum, Ferdouse, Beitelshees, Amber, Benjamin, Emelia, Bezerra, Marcos, Bielak, Larry, Bis, Joshua, Blackwell, Thomas, Blangero, John, Boerwinkle, Eric, Borecki, Ingrid, Bowler, Russel, Brody, Jennifer, Broeckel, Ulrich, Broome, Jai, Bunting, Karen, Burchard, Esteban, Cardwell, Jonathan, Carlson, Sara, Carty, Cara, Casaburi, Richard, Casella, James, Chaffin, Mark, Chang, Christy, Chasman, Daniel, Chavan, Sameer, Chen, Bo-Juen, Chen, Wei-Min, Ida Chen, Yii-Der, Cho, Michael, Choi, Seung Hoan, Chuang, Lee-Ming, Chung, Mina, Cornell, Elaine, Correa, Adolfo, Crandall, Carolyn, Crapo, James, Cupples, L Adrienne, Curran, Joanne, Curtis, Jeffrey, Custer, Brian, Damcott, Coleen, Darbar, Dawood, Das, Sayantan, David, Sean, Davis, Colleen, Daya, Michelle, de Andrade, Mariza, DeBaun, Michael, Deka, Ranjan, DeMeo, Dawn, Devine, Scott, Do, Ron, Duan, Qing, Duggirala, Ravi, Durda, Peter, Dutcher, Susan, Eaton, Charles, Ekunwe, Lynette, Ellinor, Patrick, Emery, Leslie, Farber, Charles, Farnam, Leanna, Fingerlin, Tasha, Flickinger, Matthew, Fornage, Myriam, Franceschini, Nora, Fu, Mao, Fullerton, Malia, Fulton, Lucinda, Gabriel, Stacey, Gan, Weiniu, Gao, Yan, Gass, Margery, Gelb, Bruce, Geng, Xiaoqi (Priscilla), Germer, Soren, Gignoux, Chris, Gladwin, Mark, Glahn, David, Gogarten, Stephanie, Gong, Da-Wei, Goring, Harald, Charles Gu, C., Guan, Yue, Guo, Xiuqing, Haessler, Jeff, Hall, Michael, Harris, Daniel, Hawley, Nicola, He, Jiang, Heavner, Ben, Heckbert, Susan, Hernandez, Ryan, Herrington, David, Hersh, Craig, Hidalgo, Bertha, Hixson, James, Hokanson, John, Hong, Elliott, Hoth, Karin, Hsiung, Chao (Agnes), Huston, Haley, Hwu, Chii Min, Irvin, Marguerite, Jackson, Rebecca, Jain, Deepti, Jaquish, Cashell, Jhun, Min A, Johnsen, Jill, Johnson, Andrew, Johnson, Craig, Johnston, Rich, Jones, Kimberly, Kang, Hyun Min, Kaplan, Robert, Kardia, Sharon, Kathiresan, Sekar, Kaufman, Laura, Kelly, Shannon, Kenny, Eimear, Kessler, Michael, Khan, Alyna, Kinney, Greg, Konkle, Barbara, Kooperberg, Charles, Kramer, Holly, Krauter, Stephanie, Lange, Christoph, Lange, Ethan, Lange, Leslie, Laurie, Cathy, Laurie, Cecelia, LeBoff, Meryl, Lee, Seunggeun, Lee, Wen-Jane, LeFaive, Jonathon, Levine, David, Levy, Dan, Lewis, Joshua, Li, Yun, Lin, Honghuang, Lin, Keng Han, Liu, Simin, Liu, Yongmei, Loos, Ruth, Lunetta, Kathryn, Luo, James, Mahaney, Michael, Make, Barry, Manichaikul, Ani, Manson, JoAnn, Margolin, Lauren, Martin, Lisa, Mathai, Susan, Mathias, Rasika, McArdle, Patrick, McDonald, Merry-Lynn, McFarland, Sean, McGarvey, Stephen, Mei, Hao, Meyers, Deborah, Mikulla, Julie, Min, Nancy, Minear, Mollie, Minster, Ryan L, Mitchell, Braxton, Musani, Solomon, Mwasongwe, Stanford, Mychaleckyj, Josyf C, Nadkarni, Girish, Naik, Rakhi Johns, Natarajan, Pradeep, Nekhai, Sergei, Nickerson, Deborah, North, Kari, O’Connell, Jeff, O’Connor, Tim, Heather, Ochs-Balcom, Pankow, James, Papanicolaou, George, Parker, Margaret, Parsa, Afshin, Pattison, Jessica Tangarone, Penchev, Sara, Peralta, Juan Manuel, Perez, Marco, Perry, James, Peters, Ulrike, Peyser, Patricia, Phillips, Larry, Phillips, Sam, Pollin, Toni, Post, Wendy, Becker, Julia Powers, Boorgula, Meher Preethi, Preuss, Michael, Prokopenko, Dmitry, Psaty, Bruce, Qasba, Pankaj, Qiao, Dandi, Qin, Zhaohui, Rafaels, Nicholas, Raffield, Laura, Ramachandran, Vasan, Rao, D.C., Rasmussen-Torvik, Laura, Ratan, Aakrosh, Redline, Susan, Reed, Robert, Regan, Elizabeth, Reiner, Alex, Rice, Ken, Rich, Stephen, Roden, Dan, Roselli, Carolina, Rotter, Jerome, Ruczinski, Ingo, Russell, Pamela, Ruuska, Sarah, Ryan, Kathleen, Sakornsakolpat, Phuwanat, Salimi, Shabnam, Salzberg, Steven, Sandow, Kevin, Sankaran, Vijay, Scheller, Christopher, Schmidt, Ellen, Schwander, Karen, Schwartz, David, Sciurba, Frank, Seidman, Christine, Sheehan, Vivien, Shetty, Amol, Shetty, Aniket, Hui-Heng Sheu, Wayne, Benjamin Shoemaker, M., Silver, Brian, Silverman, Edwin, Smith, Jennifer, Smith, Josh, Smith, Nicholas, Smith, Tanja, Smoller, Sylvia, Snively, Beverly, Sofer, Tamar, Sotoodehnia, Nona, Stilp, Adrienne, Streeten, Elizabeth, Sung, Yun Ju, Sylvia, Jody, Szpiro, Adam, Sztalryd, Carole, Taliun, Daniel, Tang, Hua, Taub, Margaret, Taylor, Kent, Taylor, Simeon, Telen, Marilyn, Thornton, Timothy A., Tinker, Lesley, Tirschwell, David, Tiwari, Hemant, Tracy, Russell, Tsai, Michael, Vaidya, Dhananjay, VandeHaar, Peter, Vrieze, Scott, Walker, Tarik, Wallace, Robert, Walts, Avram, Wan, Emily, Fei Wang, Fei, Watson, Karol, Weeks, Daniel E., Weir, Bruce, Weiss, Scott, Weng, Lu-Chen, Willer, Cristen, Williams, Kayleen, Keoki Williams, L., Wilson, Carla, Wilson, James, Wong, Quenna, Xu, Huichun, Yanek, Lisa, Yang, Ivana, Yang, Rongze, Zaghloul, Norann, Zhang, Yingze, Zhao, Snow Xueyan, Zhao, Wei, Zheng, Xiuwen, Zhi, Degui, Zhou, Xiang, Zody, Michael, and Zoellner, Sebastian

Abstract

Supplemental Digital Content is available in the text.

Published
2018
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4. Genome-Wide Gene-Sodium Interaction Analyses on Blood Pressure: The Genetic Epidemiology Network of Salt-Sensitivity Study.

Author

Changwei Li, Jiang He, Jing Chen, Jinying Zhao, Dongfeng Gu, Hixson, James E., Rao, Dabeeru C., Jaquish, Cashell E., Gu, Charles C., Jichun Chen, Jianfeng Huang, Shufeng Chen, Kelly, Tanika N., Li, Changwei, He, Jiang, Chen, Jing, Zhao, Jinying, Gu, Dongfeng, Chen, Jichun, and Huang, Jianfeng

Abstract

We performed genome-wide analyses to identify genomic loci that interact with sodium to influence blood pressure (BP) using single-marker-based (1 and 2 df joint tests) and gene-based tests among 1876 Chinese participants of the Genetic Epidemiology Network of Salt-Sensitivity (GenSalt) study. Among GenSalt participants, the average of 3 urine samples was used to estimate sodium excretion. Nine BP measurements were taken using a random zero sphygmomanometer. A total of 2.05 million single-nucleotide polymorphisms were imputed using Affymetrix 6.0 genotype data and the Chinese Han of Beijing and Japanese of Tokyo HapMap reference panel. Promising findings (P<1.00×10(-4)) from GenSalt were evaluated for replication among 775 Chinese participants of the Multi-Ethnic Study of Atherosclerosis (MESA). Single-nucleotide polymorphism and gene-based results were meta-analyzed across the GenSalt and MESA studies to determine genome-wide significance. The 1 df tests identified interactions for UST rs13211840 on diastolic BP (P=3.13×10(-9)). The 2 df tests additionally identified associations for CLGN rs2567241 (P=3.90×10(-12)) and LOC105369882 rs11104632 (P=4.51×10(-8)) with systolic BP. The CLGN variant rs2567241 was also associated with diastolic BP (P=3.11×10(-22)) and mean arterial pressure (P=2.86×10(-15)). Genome-wide gene-based analysis identified MKNK1 (P=6.70×10(-7)), C2orf80 (P<1.00×10(-12)), EPHA6 (P=2.88×10(-7)), SCOC-AS1 (P=4.35×10(-14)), SCOC (P=6.46×10(-11)), CLGN (P=3.68×10(-13)), MGAT4D (P=4.73×10(-11)), ARHGAP42 (P≤1.00×10(-12)), CASP4 (P=1.31×10(-8)), and LINC01478 (P=6.75×10(-10)) that were associated with at least 1 BP phenotype. In summary, we identified 8 novel and 1 previously reported BP loci through the examination of single-nucleotide polymorphism and gene-based interactions with sodium. [ABSTRACT FROM AUTHOR]

Published
2016
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5. Analysis commons, a team approach to discovery in a big-data environment for genetic epidemiology

Author

Brody, Jennifer A, Morrison, Alanna C, Bis, Joshua C, O'Connell, Jeffrey R, Brown, Michael R, Huffman, Jennifer E, Ames, Darren C, Carroll, Andrew, Conomos, Matthew P, Gabriel, Stacey, Gibbs, Richard A, Gogarten, Stephanie M, Gupta, Namrata, Jaquish, Cashell E, Johnson, Andrew D, Lewis, Joshua P, Liu, Xiaoming, Manning, Alisa K, Papanicolaou, George J, Pitsillides, Achilleas N, Rice, Kenneth M, Salerno, William, Sitlani, Colleen M, Smith, Nicholas L, Heckbert, Susan R, Laurie, Cathy C, Mitchell, Braxton D, Vasan, Ramachandran S, Rich, Stephen S, Rotter, Jerome I, Wilson, James G, Boerwinkle, Eric, Psaty, Bruce M, and Cupples, L Adrienne

Published
2017
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7. Genome-Wide Linkage and Regional Association Study of Blood Pressure Response to the Cold Pressor Test in Han Chinese.

Author

Yang, Xueli, Gu, Dongfeng, He, Jiang, Hixson, James E., Rao, Dabeeru C., Lu, Fanghong, Mu, Jianjun, Jaquish, Cashell E., Chen, Jing, Huang, Jianfeng, Shimmin, Lawrence C., Rice, Treva K., Chen, Jichun, Wu, Xigui, Liu, Depei, and Kelly, Tanika N.

Abstract

Blood pressure (BP) response to cold pressor test (CPT) is associated with increased risk of cardiovascular disease. We performed a genome-wide linkage scan and regional association analysis to identify genetic determinants of BP response to CPT.A total of 1961 Chinese participants completed the CPT. Multipoint quantitative trait linkage analysis was performed, followed by single-marker and gene-based analyses of variants in promising linkage regions (logarithm of odds ≥2). A suggestive linkage signal was identified for systolic BP response to CPT at 20p13 to 20p12.3, with a maximum multipoint logarithm of odds score of 2.37. On the basis of regional association analysis with 1351 single nucleotide polymorphisms in the linkage region, we found that marker rs2326373 at 20p13 was significantly associated with mean arterial pressure responses to CPT (P=8.8×10-6) after false discovery rate adjustment for multiple comparisons. A similar trend was also observed for systolic BP response (P=0.03) and diastolic BP response (P=4.6×10-5). Results of gene-based analyses showed that variants in genes MCM8 and SLC23A2 were associated with systolic BP response to CPT (P=4.0×10-5 and 2.7×10-4, respectively), and variants in genes MCM8 and STK35 were associated with mean arterial pressure response to CPT (P=1.5×10-5 and 5.0×10-5, respectively).Within a suggestive linkage region on chromosome 20, we identified a novel variant associated with BP responses to CPT. We also found gene-based associations of MCM8, SLC23A2, and STK35 in this region. Additional work is warranted to confirm these findings.URL: http://www.clinicaltrials.gov; Unique identifier: NCT00721721. [ABSTRACT FROM AUTHOR]

Published
2014
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9. Genome-Wide Association Study Identifies 8 Novel Loci Associated With Blood Pressure Responses to Interventions in Han Chinese.

Author

He, Jiang, Kelly, Tanika N., Zhao, Qi, Li, Hongfan, Huang, Jianfeng, Wang, Laiyuan, Jaquish, Cashell E., Sung, Yun Ju, Shimmin, Lawrence C., Lu, Fanghong, Mu, Jianjun, Hu, Dongsheng, Ji, Xu, Shen, Chong, Guo, Dongshuang, Ma, Jixiang, Wang, Renping, Shen, Jinjin, Li, Shengxu, and Chen, Jing

Abstract

Blood pressure (BP) responses to dietary sodium and potassium intervention and cold pressor test vary considerably among individuals. We aimed to identify novel genetic variants influencing individuals’ BP responses to dietary intervention and cold pressor test.We conducted a genome-wide association study of BP responses in 1881 Han Chinese and de novo genotyped top findings in 698 Han Chinese. Diet-feeding study included a 7-day low-sodium (51.3 mmol/d), a 7-day high-sodium (307.8 mmol/d), and a 7-day high-sodium plus potassium supplementation (60 mmol/d). Nine BP measurements were obtained during baseline observation and each intervention period. The meta-analyses identified 8 novel loci for BP phenotypes, which physically mapped in or near PRMT6 (P=7.29×10-9), CDCA7 (P=3.57×10-8), PIBF1 (P=1.78×10-9), ARL4C (P=1.86×10-8), IRAK1BP1 (P=1.44×10-10), SALL1 (P=7.01×10-13), TRPM8 (P=2.68×10-8), and FBXL13 (P=3.74×10-9). There was a strong dose-response relationship between the number of risk alleles of these independent single-nucleotide polymorphisms and the risk of developing hypertension during the 7.5-year follow-up in the study participants. Compared with those in the lowest quartile of risk alleles, odds ratios (95% confidence intervals) for those in the second, third, and fourth quartiles were 1.39 (0.97, 1.99), 1.72 (1.19, 2.47), and 1.84 (1.29, 2.62), respectively (P=0.0003 for trend).Our study identified 8 novel loci for BP responses to dietary sodium and potassium intervention and cold pressor test. The effect size of these novel loci on BP phenotypes is much larger than those reported by the previously published studies. Furthermore, these variants predict the risk of developing hypertension among individuals with normal BP at baseline. [ABSTRACT FROM AUTHOR]

Published
2013
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10. Genome-Wide Linkage and Positional Association Analyses Identify Associations of Novel AFF3and NTMGenes with Triglycerides: The GenSalt Study

Author

Li, Changwei, Bazzano, Lydia A.L., Rao, Dabeeru C., Hixson, James E., He, Jiang, Gu, Dongfeng, Gu, Charles C., Shimmin, Lawrence C., Jaquish, Cashell E., Schwander, Karen, Liu, De-Pei, Huang, Jianfeng, Lu, Fanghong, Cao, Jie, Chong, Shen, Lu, Xiangfeng, and Kelly, Tanika N.

Abstract

We conducted a genome-wide linkage scan and positional association study to identify genes and variants influencing blood lipid levels among participants of the Genetic Epidemiology Network of Salt-Sensitivity (GenSalt) study. The GenSalt study was conducted among 1906 participants from 633 Han Chinese families. Lipids were measured from overnight fasting blood samples using standard methods. Multipoint quantitative trait genome-wide linkage scans were performed on the high-density lipoprotein, low-density lipoprotein, and log-transformed triglyceride phenotypes. Using dense panels of single nucleotide polymorphisms (SNPs), single-marker and gene-based association analyses were conducted to follow-up on promising linkage signals. Additive associations between each SNP and lipid phenotypes were tested using mixed linear regression models. Gene-based analyses were performed by combining P-values from single-marker analyses within each gene using the truncated product method (TPM). Significant associations were assessed for replication among 777 Asian participants of the Multi-ethnic Study of Atherosclerosis (MESA). Bonferroni correction was used to adjust for multiple testing. In the GenSalt study, suggestive linkage signals were identified at 2p11.2‒2q12.1 [maximum multipoint LOD score (MML) = 2.18 at 2q11.2] and 11q24.3‒11q25 (MML = 2.29 at 11q25) for the log-transformed triglyceride phenotype. Follow-up analyses of these two regions revealed gene-based associations of charged multivesicular body protein 3 (CHMP3), ring finger protein 103 (RNF103), AF4/FMR2 family, member 3 (AFF3), and neurotrimin (NTM) with triglycerides (P = 4 × 10−4, 1.00 × 10−5, 2.00 × 10−5, and 1.00 × 10−7, respectively). Both the AFF3and NTMtriglyceride associations were replicated among MESA study participants (P = 1.00 × 10−7and 8.00 × 10−5, respectively). Furthermore, NTMexplained the linkage signal on chromosome 11. In conclusion, we identified novel genes associated with lipid phenotypes in linkage regions on chromosomes 2 and 11.

Published
2015
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11. Common Variants in Epithelial Sodium Channel Genes Contribute to Salt Sensitivity of Blood Pressure.

Author

Qi Zhao, Dongfeng Gu, Hixson, James E., De-Pei Liu, Rao, Dabeeru C., Jaquish, Cashell E., Kelly, Tanika N., Fanghong Lu, Jixiang Ma, Jianjun Mu, Shimmin, Lawrence C., Jichun Chen, Hao Mei, Hamm, L. Lee, and Jiang He

Subjects
SENSITIVITY analysis, EPITHELIAL cells, SODIUM channels, BLOOD pressure, INGESTION
Abstract

The article presents a study which examines the relationship between common variants in the salt sensitivity and epithelial sodium channel (ENaC) genes of blood pressure (BP). The study conducted a community-based BP screening among 18-60 years old residing in villages to identify their family and potential probands. Results indicate that common variants of ENaC subunits may add to the variation of BP response to dietary sodium ingestion.

Published
2011
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12. Genome-Wide Linkage and Positional Candidate Gene Study of Blood Pressure Response to Dietary Potassium Intervention.

Author

Kelly, Tanika N., Hixson, James E., Rao, Dabeeru C., Hao Mei, Rice, Treva K., Jaquish, Cashell E., Shimmin, Lawrence C., Schwander, Karen, Chung-Shuian Chen, Depei Liu, Jichun Chen, Bormans, Concetta, Shukla, Pramila, Farhana, Naveed, Stuart, Colin, Whelton, Paul K., Jiang He, and Dongfeng Gu

Subjects
GENETIC epidemiology, POTASSIUM in the body, BLOOD pressure, HYPERTENSION, INFECTIOUS disease transmission
Abstract

The article presents information on the Genetic Epidemiology Network of Salt Sensitivity (GenSalt) study. The study shows that increase in potassium intake reduces blood pressure (BP) among hypertensive and normotensive people. According to the author genetic variant AGTR1 gene identified with BP responses to potassium intake.

Published
2010
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13. Heritability of Blood Pressure Responses to Dietary Sodium and Potassium Intake in a Chinese Population.

Author

Dongfeng Gu, Rice, Treva, Shiping Wang, Wenjie Yang, Chi Gu, Chung-Shiuan Chen, Hixson, James E., Jaquish, Cashell E., Zhi-Jian Yao, De-Pei Liu, Rao, Dabeeru C., and Jiang He

Abstract

The article discusses a research which examined the heritability of blood pressure responses to dietary sodium and potassium among study participants in rural North China. A dietary intervention of 7-day low-sodium feeding, 7-day high-sodium feeding, and a 7-day high-sodium feeding plus potassium supplementation was carried out. Blood pressure measurements yielded significantly high heritabilities under the dietary intervention as compared to those under a usual diet.

Published
2007
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14. The NextGen Genetic Association Studies Consortium: A Foray into In Vitro Population Genetics

Author

Warren, Curtis R., Jaquish, Cashell E., and Cowan, Chad A.

Abstract

The National Heart, Lung, and Blood Institute’s Next Generation Genetic Association Studies Consortium has used induced pluripotent stem cell technology to study the effects of common genetic variants in vitro. This issue of Cell Stem Celland affiliated journals include several manuscripts describing the results of the consortium’s efforts.

Published
2017
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15. Genome-Wide Linkage and Regional Association Study of Blood Pressure Response to the Cold Pressor Test in Han Chinese

Author

Yang, Xueli, Gu, Dongfeng, He, Jiang, Hixson, James E., Rao, Dabeeru C., Lu, Fanghong, Mu, Jianjun, Jaquish, Cashell E., Chen, Jing, Huang, Jianfeng, Shimmin, Lawrence C., Rice, Treva K., Chen, Jichun, Wu, Xigui, Liu, Depei, and Kelly, Tanika N.

Abstract

Blood pressure (BP) response to cold pressor test (CPT) is associated with increased risk of cardiovascular disease. We performed a genome-wide linkage scan and regional association analysis to identify genetic determinants of BP response to CPT.

Published
2014
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17. Genome-Wide Association Study Identifies 8 Novel Loci Associated With Blood Pressure Responses to Interventions in Han Chinese

Author

He, Jiang, Kelly, Tanika N., Zhao, Qi, Li, Hongfan, Huang, Jianfeng, Wang, Laiyuan, Jaquish, Cashell E., Sung, Yun Ju, Shimmin, Lawrence C., Lu, Fanghong, Mu, Jianjun, Hu, Dongsheng, Ji, Xu, Shen, Chong, Guo, Dongshuang, Ma, Jixiang, Wang, Renping, Shen, Jinjin, Li, Shengxu, Chen, Jing, Mei, Hao, Chen, Chung-Shiuan, Chen, Shufeng, Chen, Jichun, Li, Jianxin, Cao, Jie, Lu, Xiangfeng, Wu, Xigui, Rice, Treva K., Gu, C. Charles, Schwander, Karen, Hamm, L. Lee, Liu, Depei, Rao, Dabeeru C., Hixson, James E., and Gu, Dongfeng

Abstract

Blood pressure (BP) responses to dietary sodium and potassium intervention and cold pressor test vary considerably among individuals. We aimed to identify novel genetic variants influencing individuals’ BP responses to dietary intervention and cold pressor test.

Published
2013
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18. Genetic variants in the renin–angiotensin–aldosterone system and blood pressure responses to potassium intake

Author

He, Jiang, Gu, Dongfeng, Kelly, Tanika N., Hixson, James E., Rao, Dabeeru C., Jaquish, Cashell E., Chen, Jing, Zhao, Qi, Gu, Chi, Huang, Jianfeng, Shimmin, Lawrence C., Chen, Ji-Chun, Mu, Jianjun, Ji, Xu, Liu, De-Pei, and Whelton, Paul K.

Abstract

Observational epidemiologic studies and clinical trials have documented that dietary potassium intake lowers blood pressure (BP). We examined the association between genetic variants in the renin–angiotensin–aldosterone system and BP responses to potassium intervention.

Published
2011
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19. Common Variants in Epithelial Sodium Channel Genes Contribute to Salt Sensitivity of Blood Pressure

Author

Zhao, Qi, Gu, Dongfeng, Hixson, James E., Liu, De-Pei, Rao, Dabeeru C., Jaquish, Cashell E., Kelly, Tanika N., Lu, Fanghong, Ma, Jixiang, Mu, Jianjun, Shimmin, Lawrence C., Chen, Jichun, Mei, Hao, Hamm, L. Lee, and He, Jiang

Abstract

Rare mutations of the epithelial sodium channel (ENaC) lead to mendelian forms of salt-sensitive hypertension or salt-wasting hypotension. We aimed to examine the association between common variants in the ENaC genes and salt sensitivity of blood pressure (BP).

Published
2011
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20. Cerivastatin, genetic variants, and the risk of rhabdomyolysis

Author

Marciante, Kristin D., Durda, Jon P., Heckbert, Susan R., Lumley, Thomas, Rice, Ken, McKnight, Barbara, Totah, Rheem A., Tamraz, Bani, Kroetz, Deanna L., Fukushima, Hisayo, Kaspera, Rüdiger, Bis, Joshua C., Glazer, Nicole L., Li, Guo, Austin, Thomas R., Taylor, Kent D., Rotter, Jerome I., Jaquish, Cashell E., Kwok, Pui-Yan, Tracy, Russell P., and Psaty, Bruce M.

Abstract

The withdrawal of cerivastatin involved an uncommon but serious adverse reaction, rhabdomyolysis. The bimodal response, rhabdomyolysis in a small proportion of users, points to genetic factors as a potential cause. We conducted a case–control study to evaluate genetic markers for cerivastatin-associated rhabdomyolysis.

Published
2011
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21. Genetic variants in the renin–angiotensin system and blood pressure reactions to the cold pressor test

Author

Wang, Laiyuan, Hou, Liping, Li, Hongfan, Chen, Jing, Kelly, Tanika N, Jaquish, Cashell E, Rao, Dabeeru C, Hixson, James E, Hu, Dongsheng, Chen, Chung-Shiuan, Gu, Charles, Chen, Shufeng, Lu, Xiangfeng, Whelton, Paul K, He, Jiang, Lu, Fanghong, Huang, Jianfeng, Liu, De-Pei, and Gu, Dongfeng

Abstract

The purpose of this study was to examine the association between genetic variants in the renin–angiotensin system and blood pressure (BP) responses to the cold pressor test (CPT).

Published
2010
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22. Genome-Wide Linkage and Positional Candidate Gene Study of Blood Pressure Response to Dietary Potassium Intervention

Author

Kelly, Tanika N., Hixson, James E., Rao, Dabeeru C., Mei, Hao, Rice, Treva K., Jaquish, Cashell E., Shimmin, Lawrence C., Schwander, Karen, Chen, Chung-Shuian, Liu, Depei, Chen, Jichun, Bormans, Concetta, Shukla, Pramila, Farhana, Naveed, Stuart, Colin, Whelton, Paul K., He, Jiang, and Gu, Dongfeng

Abstract

Genetic determinants of blood pressure (BP) response to potassium, or potassium sensitivity, are largely unknown. We conducted a genome-wide linkage scan and positional candidate gene analysis to identify genetic determinants of potassium sensitivity.

Published
2010
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23. Genetic variants in the renin–angiotensin–aldosterone system and salt sensitivity of blood pressure

Author

Gu, Dongfeng, Kelly, Tanika N, Hixson, James E, Chen, Jing, Liu, Depei, Chen, Ji-chun, Rao, Dabeeru C, Mu, Jianjun, Ma, Jixiang, Jaquish, Cashell E, Rice, Treva K, Gu, Charles, Hamm, Lee, Whelton, Paul K, and He, Jiang

Abstract

To examine the association between renin–angiotensin–aldosterone system (RAAS) genes and salt sensitivity of blood pressure (BP).

Published
2010
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24. Genetic variants in the apelin system and blood pressure responses to dietary sodium interventions a family-based association study

Author

Zhao, Qi, Hixson, James E, Rao, Dabeeru C, Gu, Dongfeng, Jaquish, Cashell E, Rice, Treva, Shimmin, Lawrence C, Chen, Jichun, Cao, Jie, Kelly, Tanika N, Hamm, Lotuce Lee, and He, Jiang

Abstract

We examined the association between genetic variants in the apelin system and blood pressure (BP) responses to low-sodium and high-sodium interventions in the GenSalt Study.

Published
2010
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25. Blood pressure response to potassium supplementation is associated with genetic variation in endothelin 1 and interactions with E selectin in rural Chinese

Author

Montasser, May E, Shimmin, Lawrence C, Gu, Donfeng, Chen, Jing, Gu, Charles, Kelly, Tanika N, Jaquish, Cashell E, Rice, Treva, Rao, DC, Cao, Jie, Chen, Jichun, Liu, De-Pei, Whelton, Paul, He, Jiang, and Hixson, James E

Abstract

Although beneficial effects of potassium intake on blood pressure (BP) are well established, little is known about genetic factors that underlie interindividual variability in BP response to dietary potassium. In a previous study, we reported the first evidence for significant heritabilities for BP response in a dietary intervention study in rural Chinese. In this report, we extend our genetic studies to examine associations with polymorphisms in genes in vascular endothelial pathways.

Published
2010
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26. Metabolic syndrome and salt sensitivity of blood pressure in non-diabetic people in China: a dietary intervention study

Author

Chen, Jing, Gu, Dongfeng, Huang, Jianfeng, Rao, Dabeeru C, Jaquish, Cashell E, Hixson, James E, Chen, Chung-Shiuan, Chen, Jichun, Lu, Fanghong, Hu, Dongsheng, Rice, Treva, Kelly, Tanika N, Hamm, L Lee, Whelton, Paul K, and He, Jiang

Abstract

Since insulin resistance is thought to be the underlying mechanism for metabolic syndrome, affected individuals might be sensitive to a dietary sodium intervention. We aimed to examine the association between metabolic syndrome and salt sensitivity of blood pressure.

Published
2009
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28. A Quantitative Trait Locus on Chromosome 22 for Serum Leptin Levels Adjusted for Serum Testosterone

Author

Martin, Lisa J., Mahaney, Michael C., Almasy, Laura, Hixson, James E., Cole, Shelley A., MacCluer, Jean W., Jaquish, Cashell E., Blangero, John, and Comuzzie, Anthony G.

Abstract

Objective:Studies have reported the existence of marked sexual dimorphism in serum leptin levels in humans with women having approximately two to three times the levels of men. We have shown that this sexual dimorphism has a strong genetic component arising from a genotype by sex interaction, but adjusting leptin levels for testosterone eliminates this interaction. Because interactions such as genotype × sex can confound the detection of quantitative trait loci (QTLs), we wanted to determine if there are QTLs associated with the expression of leptin adjusted for testosterone. Research Methods and Procedures:We performed a genome‐wide scan using multipoint linkage analysis and implemented a general pedigree‐based variance‐component approach to identify genes with measurable effects on variation in leptin levels independent of testosterone in 318 Mexican Americans from the San Antonio Family Heart Study. Results:We detected significant evidence of linkage (log of the odds ratio = 3.44) for a QTL on chromosome 22. Discussion:Given these results, we hypothesize that a QTL on chromosome 22 may influence the level of leptin adjusted for testosterone.

Published
2002
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29. Genetic Variability of Adult Body Mass Index: A Longitudinal Assessment in Framingham Families

Author

Coady, Sean A., Jaquish, Cashell E., Fabsitz, Richard R., Larson, Martin G., Cupples, L. Adrienne, and Myers, Richard H.

Abstract

Objective:To explore the contribution of genetics to the mean, SD, maximum value, maximum less the mean, and change over time in body mass index (BMI) and the residual of body weight after adjustment for height. BMI is frequently used as a general indicator of obesity because of its ease and reliability in ascertainment. Cross‐sectional twin and family studies have shown a moderate‐to‐substantial genetic component for BMI. However, the contribution of genetics to the long‐term average, variability, or change over time in BMI is less clear. Research Methods and Procedures:Longitudinal data from the Framingham heart study were used to create pedigrees of age‐matched individuals. Heritability estimates were derived using variance‐decomposition methods on a total of 1051 individuals from 380 extended pedigrees followed for a period of 20 years. All subjects were followed from approximately age 35 to 55 years. Results:Moderate heritability estimates were found for the mean BMI (h2= 0.37), maximum BMI (h2= 0.40), and the mean residual of body weight (h2= 0.36). Low heritability estimates (h2≅ 0.20) were found for the maximum less the mean in BMI and the SDs of BMI and residual of body weight. No additive genetic contribution was found for the average change over time in BMI or the residual of body weight. Discussion:These findings suggest that there is a significant genetic component for the magnitude of BMI throughout an individual's middle‐adult years; however, little evidence was found for a genetic contribution to the variability or rate of change in an individual's BMI.

Published
2002
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30. Leptin's Sexual Dimorphism Results from Genotype by Sex Interactions Mediated by Testosterone

Author

Martin, Lisa J., Mahaney, Michael C., Almasy, Laura, MacCluer, Jean W., Blangero, John, Jaquish, Cashell E., and Comuzzie, Anthony G.

Abstract

Objective:Recent studies have reported the existence of marked sexual dimorphism in serum leptin levels in humans, with women having approximately three times the levels of men. As we have shown for other measures of adiposity, such sexual dimorphism can arise from a special case of genotype by environment interaction, that of genotype by sex interaction. Research Methods and Procedures:Using maximum likelihood‐based variance decomposition techniques, we examined the genetic and environmental architecture of sexual dimorphism in serum leptin levels in 1147 Mexican Americans from the San Antonio Family Heart Study. Results:Both the genetic and environmental variances for this trait differed significantly between the sexes (p< 0.001 and p< 0.01, respectively), with women displaying larger values for both components. We found significant evidence that different genes influence variation in serum leptin levels between the two sexes (p= 0.05). Furthermore, this pattern of sexual dimorphism in serum leptin levels persisted even after accounting for the effects of either the percentage of body fat or total body fat. However, this pattern of sexual dimorphism was eliminated after accounting for the effects of testosterone. Discussion:These findings suggest that the sexual dimorphism seen in leptin levels is not simply explained as differences in total adiposity between the sexes. We conclude that the genes, which influence variation in serum leptin levels, are differentially expressed depending on sex, and that the sexes also show differences in response of the expression of this obesity‐related trait to unmeasured residual effects.

Published
2002
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