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1. Rare coding variant analysis for human diseases across biobanks and ancestries

Author: Jurgens, Sean J., Wang, Xin, Choi, Seung Hoan, Weng, Lu-Chen, Koyama, Satoshi, Pirruccello, James P., Nguyen, Trang, Smadbeck, Patrick, Jang, Dongkeun, Chaffin, Mark, Walsh, Roddy, Roselli, Carolina, Elliott, Amanda L., Wijdeveld, Leonoor F. J. M., Biddinger, Kiran J., Kany, Shinwan, Rämö, Joel T., Natarajan, Pradeep, Aragam, Krishna G., Flannick, Jason, Burtt, Noël P., Bezzina, Connie R., Lubitz, Steven A., Lunetta, Kathryn L., and Ellinor, Patrick T.
Published: 2024
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2. The Genetic Determinants of Aortic Distention.

Author: Pirruccello, James, Rämö, Joel, Choi, Seung, Chaffin, Mark, Kany, Shinwan, Nekoui, Mahan, Chou, Elizabeth, Jurgens, Sean, Friedman, Samuel, Juric, Dejan, Stone, James, Batra, Puneet, Ng, Kenney, Philippakis, Anthony, Lindsay, Mark, and Ellinor, Patrick
Subjects: aorta, cardiovascular disease, deep learning, distensibility, genetics, strain, Humans, Aorta, Thoracic, Aorta, Aortic Diseases, Magnetic Resonance Imaging, Stroke
Abstract: BACKGROUND: As the largest conduit vessel, the aorta is responsible for the conversion of phasic systolic inflow from ventricular ejection into more continuous peripheral blood delivery. Systolic distention and diastolic recoil conserve energy and are enabled by the specialized composition of the aortic extracellular matrix. Aortic distensibility decreases with age and vascular disease. OBJECTIVES: In this study, we sought to discover epidemiologic correlates and genetic determinants of aortic distensibility and strain. METHODS: We trained a deep learning model to quantify thoracic aortic area throughout the cardiac cycle from cardiac magnetic resonance images and calculated aortic distensibility and strain in 42,342 UK Biobank participants. RESULTS: Descending aortic distensibility was inversely associated with future incidence of cardiovascular diseases, such as stroke (HR: 0.59 per SD; P = 0.00031). The heritabilities of aortic distensibility and strain were 22% to 25% and 30% to 33%, respectively. Common variant analyses identified 12 and 26 loci for ascending and 11 and 21 loci for descending aortic distensibility and strain, respectively. Of the newly identified loci, 22 were not significantly associated with thoracic aortic diameter. Nearby genes were involved in elastogenesis and atherosclerosis. Aortic strain and distensibility polygenic scores had modest effect sizes for predicting cardiovascular outcomes (delaying or accelerating disease onset by 2%-18% per SD change in scores) and remained statistically significant predictors after accounting for aortic diameter polygenic scores. CONCLUSIONS: Genetic determinants of aortic function influence risk for stroke and coronary artery disease and may lead to novel targets for medical intervention.
Published: 2023

3. Adjusting for common variant polygenic scores improves yield in rare variant association analyses.

Author: Choi, Seung, Morrill, Valerie, Chaffin, Mark, Lubitz, Steven, Lunetta, Kathryn, Ellinor, Patrick, Jurgens, Sean, and Pirruccello, James
Subjects: Multifactorial Inheritance, Phenotype, Quantitative Trait Loci, Polymorphism, Single Nucleotide, Models, Genetic, Genome-Wide Association Study
Abstract: With the emergence of large-scale sequencing data, methods for improving power in rare variant association tests are needed. Here we show that adjusting for common variant polygenic scores improves yield in gene-based rare variant association tests across 65 quantitative traits in the UK Biobank (up to 20% increase at α = 2.6 × 10-6), without marked increases in false-positive rates or genomic inflation. Benefits were seen for various models, with the largest improvements seen for efficient sparse mixed-effects models. Our results illustrate how polygenic score adjustment can efficiently improve power in rare variant association discovery.
Published: 2023

4. Gene Sequencing Identifies Perturbation in Nitric Oxide Signaling as a Nonlipid Molecular Subtype of Coronary Artery Disease

Author: Khera, Amit V, Wang, Minxian, Chaffin, Mark, Emdin, Connor A, Samani, Nilesh J, Schunkert, Heribert, Watkins, Hugh, McPherson, Ruth, Erdmann, Jeanette, Elosua, Roberto, Boerwinkle, Eric, Ardissino, Diego, Butterworth, Adam S, Di Angelantonio, Emanuele, Naheed, Aliya, Danesh, John, Chowdhury, Rajiv, Krumholz, Harlan M, Sheu, Wayne H-H, Rich, Stephen S, Rotter, Jerome I, Chen, Yii-der Ida, Gabriel, Stacey, Lander, Eric S, Saleheen, Danish, and Kathiresan, Sekar
Subjects: Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Heart Disease - Coronary Heart Disease, Genetics, Prevention, Cardiovascular, Atherosclerosis, Heart Disease, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being, Humans, Coronary Artery Disease, Polymorphism, Genetic, Nitric Oxide, Cholesterol, Hypercholesterolemia, atherosclerosis, coronary artery disease, genetic association studies, nitric oxide synthase type III, precision medicine, Medical Biotechnology, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology, Cardiovascular medicine and haematology
Abstract: BackgroundA key goal of precision medicine is to disaggregate common, complex diseases into discrete molecular subtypes. Rare coding variants in the low-density lipoprotein receptor gene (LDLR) are identified in 1% to 2% of coronary artery disease (CAD) patients, defining a molecular subtype with risk driven by hypercholesterolemia.MethodsTo search for additional subtypes, we compared the frequency of rare, predicted loss-of-function and damaging missense variants aggregated within a given gene in 41 081 CAD cases versus 217 115 controls.ResultsRare variants in LDLR were most strongly associated with CAD, present in 1% of cases and associated with 4.4-fold increased CAD risk. A second subtype was characterized by variants in endothelial nitric oxide synthase gene (NOS3), a key enzyme regulating vascular tone, endothelial function, and platelet aggregation. A rare predicted loss-of-function or damaging missense variants in NOS3 was present in 0.6% of cases and associated with 2.42-fold increased risk of CAD (95% CI, 1.80-3.26; P=5.50×10-9). These variants were associated with higher systolic blood pressure (+3.25 mm Hg; [95% CI, 1.86-4.65]; P=5.00×10-6) and increased risk of hypertension (adjusted odds ratio 1.31; [95% CI, 1.14-1.51]; P=2.00×10-4) but not circulating cholesterol concentrations, suggesting that, beyond lipid pathways, nitric oxide synthesis is a key nonlipid driver of CAD risk.ConclusionsBeyond LDLR, we identified an additional nonlipid molecular subtype of CAD characterized by rare variants in the NOS3 gene.
Published: 2022

5. Unsupervised removal of systematic background noise from droplet-based single-cell experiments using CellBender

Author: Fleming, Stephen J., Chaffin, Mark D., Arduini, Alessandro, Akkad, Amer-Denis, Banks, Eric, Marioni, John C., Philippakis, Anthony A., Ellinor, Patrick T., and Babadi, Mehrtash
Published: 2023
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6. Distinct Plasma Extracellular Vesicle Transcriptomes in Acute Decompensated Heart Failure Subtypes: A Liquid Biopsy Approach

Author: Gokulnath, Priyanka, Spanos, Michail, Lehmann, H. Immo, Sheng, Quanhu, Rodosthenous, Rodosthenis, Chaffin, Mark, Varrias, Dimitrios, Chatterjee, Emeli, Hutchins, Elizabeth, Li, Guoping, Daaboul, George, Rana, Farhan, Wang, Ashley Mingyi, Van Keuren-Jensen, Kendall, Ellinor, Patrick T., Shah, Ravi, and Das, Saumya
Published: 2024
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7. A genetic association study of circulating coagulation factor VIII and von Willebrand factor levels

Author: Abe, Namiko, Abecasis, Gonçalo, Aguet, Francois, Albert, Christine, Almasy, Laura, Alonso, Alvaro, Ament, Seth, Anderson, Peter, Anugu, Pramod, Applebaum-Bowden, Deborah, Ardlie, Kristin, Arking, Dan, Arnett, Donna K, Ashley-Koch, Allison, Aslibekyan, Stella, Assimes, Tim, Auer, Paul, Avramopoulos, Dimitrios, Ayas, Najib, Balasubramanian, Adithya, Barnard, John, Barnes, Kathleen, Barr, R. Graham, Barron-Casella, Emily, Barwick, Lucas, Beaty, Terri, Beck, Gerald, Becker, Diane, Becker, Lewis, Beer, Rebecca, Beitelshees, Amber, Benjamin, Emelia, Benos, Takis, Bezerra, Marcos, Bielak, Larry, Bis, Joshua, Blackwell, Thomas, Blangero, John, Blue, Nathan, Boerwinkle, Eric, Bowden, Donald W., Bowler, Russell, Brody, Jennifer, Broeckel, Ulrich, Broome, Jai, Brown, Deborah, Bunting, Karen, Burchard, Esteban, Bustamante, Carlos, Buth, Erin, Cade, Brian, Cardwell, Jonathan, Carey, Vincent, Carrier, Julie, Carson, April P., Carty, Cara, Casaburi, Richard, Casas Romero, Juan P, Casella, James, Castaldi, Peter, Chaffin, Mark, Chang, Christy, Chang, Yi-Cheng, Chasman, Daniel, Chavan, Sameer, Chen, Bo-Juen, Chen, Wei-Min, Ida Chen, Yii-Der, Cho, Michael, Choi, Seung Hoan, Chuang, Lee-Ming, Chung, Mina, Chung, Ren-Hua, Clish, Clary, Comhair, Suzy, Conomos, Matthew, Cornell, Elaine, Correa, Adolfo, Crandall, Carolyn, Crapo, James, Cupples, L. Adrienne, Curran, Joanne, Curtis, Jeffrey, Custer, Brian, Damcott, Coleen, Darbar, Dawood, David, Sean, Davis, Colleen, Daya, Michelle, de Andrade, Mariza, de las Fuentes, Lisa, de Vries, Paul, DeBaun, Michael, Deka, Ranjan, DeMeo, Dawn, Devine, Scott, Dinh, Huyen, Doddapaneni, Harsha, Duan, Qing, Dugan-Perez, Shannon, Duggirala, Ravi, Durda, Jon Peter, Dutcher, Susan K., Eaton, Charles, Ekunwe, Lynette, El Boueiz, Adel, Ellinor, Patrick, Emery, Leslie, Erzurum, Serpil, Farber, Charles, Farek, Jesse, Fingerlin, Tasha, Flickinger, Matthew, Fornage, Myriam, Franceschini, Nora, Frazar, Chris, Fu, Mao, Fullerton, Stephanie M., Fulton, Lucinda, Gabriel, Stacey, Gan, Weiniu, Gao, Shanshan, Gao, Yan, Gass, Margery, Geiger, Heather, Gelb, Bruce, Geraci, Mark, Germer, Soren, Gerszten, Robert, Ghosh, Auyon, Gibbs, Richard, Gignoux, Chris, Gladwin, Mark, Glahn, David, Gogarten, Stephanie, Gong, Da-Wei, Goring, Harald, Graw, Sharon, Gray, Kathryn J., Grine, Daniel, Gross, Colin, Gu, C. Charles, Guan, Yue, Guo, Xiuqing, Gupta, Namrata, Haessler, Jeff, Hall, Michael, Han, Yi, Hanly, Patrick, Harris, Daniel, Hawley, Nicola L., He, Jiang, Heavner, Ben, Heckbert, Susan, Hernandez, Ryan, Herrington, David, Hersh, Craig, Hidalgo, Bertha, Hixson, James, Hobbs, Brian, Hokanson, John, Hong, Elliott, Hoth, Karin, Hsiung, Chao (Agnes), Hu, Jianhong, Hung, Yi-Jen, Huston, Haley, Hwu, Chii Min, Irvin, Marguerite Ryan, Jackson, Rebecca, Jain, Deepti, Jaquish, Cashell, Johnsen, Jill, Johnson, Andrew, Johnson, Craig, Johnston, Rich, Jones, Kimberly, Kang, Hyun Min, Kaplan, Robert, Kardia, Sharon, Kelly, Shannon, Kenny, Eimear, Kessler, Michael, Khan, Alyna, Khan, Ziad, Kim, Wonji, Kimoff, John, Kinney, Greg, Konkle, Barbara, Kooperberg, Charles, Kramer, Holly, Lange, Christoph, Lange, Ethan, Lange, Leslie, Laurie, Cathy, Laurie, Cecelia, LeBoff, Meryl, Lee, Jiwon, Lee, Sandra, Lee, Wen-Jane, LeFaive, Jonathon, Levine, David, Levy, Dan, Lewis, Joshua, Li, Xiaohui, Li, Yun, Lin, Henry, Lin, Honghuang, Lin, Xihong, Liu, Simin, Liu, Yongmei, Liu, Yu, Loos, Ruth J. F., Lubitz, Steven, Lunetta, Kathryn, Luo, James, Magalang, Ulysses, Mahaney, Michael, Make, Barry, Manichaikul, Ani, Manning, Alisa, Manson, JoAnn, Martin, Lisa, Marton, Melissa, Mathai, Susan, Mathias, Rasika, May, Susanne, McArdle, Patrick, McDonald, Merry-Lynn, McFarland, Sean, McGarvey, Stephen, McGoldrick, Daniel, McHugh, Caitlin, McNeil, Becky, Mei, Hao, Meigs, James, Menon, Vipin, Mestroni, Luisa, Metcalf, Ginger, Meyers, Deborah A, Mignot, Emmanuel, Mikulla, Julie, Min, Nancy, Minear, Mollie, Minster, Ryan L, Mitchell, Braxton D., Moll, Matt, Momin, Zeineen, Montasser, May E., Montgomery, Courtney, Muzny, Donna, Mychaleckyj, Josyf C, Nadkarni, Girish, Naik, Rakhi, Naseri, Take, Natarajan, Pradeep, Nekhai, Sergei, Nelson, Sarah C., Neltner, Bonnie, Nessner, Caitlin, Nickerson, Deborah, Nkechinyere, Osuji, North, Kari, O'Connell, Jeff, O'Connor, Tim, Ochs-Balcom, Heather, Okwuonu, Geoffrey, Pack, Allan, Paik, David T., Palmer, Nicholette, Pankow, James, Papanicolaou, George, Parker, Cora, Peloso, Gina, Peralta, Juan Manuel, Perez, Marco, Perry, James, Peters, Ulrike, Peyser, Patricia, Phillips, Lawrence S, Pleiness, Jacob, Pollin, Toni, Post, Wendy, Becker, Julia Powers, Boorgula, Meher Preethi, Preuss, Michael, Psaty, Bruce, Qasba, Pankaj, Qiao, Dandi, Qin, Zhaohui, Rafaels, Nicholas, Raffield, Laura, Rajendran, Mahitha, Ramachandran, Vasan S., Rao, D. C., Rasmussen-Torvik, Laura, Ratan, Aakrosh, Redline, Susan, Reed, Robert, Reeves, Catherine, Regan, Elizabeth, Reiner, Alex, Reupena, Muagututi‘a Sefuiva, Rice, Ken, Rich, Stephen, Robillard, Rebecca, Robine, Nicolas, Roden, Dan, Roselli, Carolina, Rotter, Jerome, Ruczinski, Ingo, Runnels, Alexi, Russell, Pamela, Ruuska, Sarah, Ryan, Kathleen, Sabino, Ester Cerdeira, Saleheen, Danish, Salimi, Shabnam, Salvi, Sejal, Salzberg, Steven, Sandow, Kevin, Sankaran, Vijay G., Santibanez, Jireh, Schwander, Karen, Schwartz, David, Sciurba, Frank, Seidman, Christine, Seidman, Jonathan, Sériès, Frédéric, Sheehan, Vivien, Sherman, Stephanie L., Shetty, Amol, Shetty, Aniket, Hui-Heng Sheu, Wayne, Shoemaker, M. Benjamin, Silver, Brian, Silverman, Edwin, Skomro, Robert, Smith, Albert Vernon, Smith, Jennifer, Smith, Josh, Smith, Nicholas, Smith, Tanja, Smoller, Sylvia, Snively, Beverly, Snyder, Michael, Sofer, Tamar, Sotoodehnia, Nona, Stilp, Adrienne M., Storm, Garrett, Streeten, Elizabeth, Su, Jessica Lasky, Sung, Yun Ju, Sylvia, Jody, Szpiro, Adam, Taliun, Daniel, Tang, Hua, Taub, Margaret, Taylor, Kent D., Taylor, Matthew, Taylor, Simeon, Telen, Marilyn, Thornton, Timothy A., Threlkeld, Machiko, Tinker, Lesley, Tirschwell, David, Tishkoff, Sarah, Tiwari, Hemant, Tong, Catherine, Tracy, Russell, Tsai, Michael, Vaidya, Dhananjay, Van Den Berg, David, VandeHaar, Peter, Vrieze, Scott, Walker, Tarik, Wallace, Robert, Walts, Avram, Wang, Fei Fei, Wang, Heming, Wang, Jiongming, Watson, Karol, Watt, Jennifer, Weeks, Daniel E., Weinstock, Joshua, Weir, Bruce, Weiss, Scott T, Weng, Lu-Chen, Wessel, Jennifer, Willer, Cristen, Williams, Kayleen, Williams, L. Keoki, Wilson, Carla, Wilson, James, Winterkorn, Lara, Wong, Quenna, Wu, Joseph, Xu, Huichun, Yanek, Lisa, Yang, Ivana, Yu, Ketian, Zekavat, Seyedeh Maryam, Zhang, Yingze, Zhao, Snow Xueyan, Zhao, Wei, Zhu, Xiaofeng, Ziv, Elad, Zody, Michael, Zoellner, Sebastian, Lindstrom, Sara, Wang, Lu, Smith, Erin N., Gordon, William, van Hylckama Vlieg, Astrid, Brody, Jennifer A., Pattee, Jack W., Haessler, Jeffrey, Brumpton, Ben M., Chasman, Daniel I., Suchon, Pierre, Chen, Ming-Huei, Turman, Constance, Germain, Marine, Wiggins, Kerri L., MacDonald, James, Braekkan, Sigrid K., Armasu, Sebastian M., Pankratz, Nathan, Jackson, Rabecca D., Nielsen, Jonas B., Giulianini, Franco, Puurunen, Marja K., Ibrahim, Manal, Heckbert, Susan R., Bammler, Theo K., Frazer, Kelly A., McCauley, Bryan M., Taylor, Kent, Pankow, James S., Reiner, Alexander P., Gabrielsen, Maiken E., Deleuze, Jean-François, O'Donnell, Chris J., Kim, Jihye, McKnight, Barbara, Kraft, Peter, Hansen, John-Bjarne, Rosendaal, Frits R., Heit, John A., Psaty, Bruce M., Tang, Weihong, Hveem, Kristian, Ridker, Paul M., Morange, Pierre-Emmanuel, Johnson, Andrew D., Kabrhel, Christopher, AlexandreTrégouët, David, Smith, Nicholas L., de Vries, Paul S., Reventun, Paula, Brown, Michael R., Heath, Adam S., Huffman, Jennifer E., Le, Ngoc-Quynh, Bebo, Allison, Temprano-Sagrera, Gerard, Raffield, Laura M., Ozel, Ayse Bilge, Thibord, Florian, Lewis, Joshua P., Rodriguez, Benjamin A. T., Polasek, Ozren, Yanek, Lisa R., Carrasquilla, German D., Marioni, Riccardo E., Kleber, Marcus E., Trégouët, David-Alexandre, Yao, Jie, Li-Gao, Ruifang, Joshi, Peter K., Trompet, Stella, Martinez-Perez, Angel, Ghanbari, Mohsen, Howard, Tom E., Reiner, Alex P., Arvanitis, Marios, Ryan, Kathleen A., Bartz, Traci M., Rudan, Igor, Faraday, Nauder, Linneberg, Allan, Davies, Gail, Delgado, Graciela E., Klaric, Lucija, Noordam, Raymond, van Rooij, Frank, Curran, Joanne E., Wheeler, Marsha M., Osburn, William O., O'Connell, Jeffrey R., Beswick, Andrew, Kolcic, Ivana, Souto, Juan Carlos, Becker, Lewis C., Hansen, Torben, Doyle, Margaret F., Harris, Sarah E., Moissl, Angela P., Rich, Stephen S., Campbell, Harry, Stott, David J., Soria, Jose Manuel, de Maat, Moniek P. M., Brody, Lawrence C., Auer, Paul L., Ben-Shlomo, Yoav, Hayward, Caroline, Mathias, Rasika A., Kilpeläinen, Tuomas O., Lange, Leslie A., Cox, Simon R., März, Winfried, Rotter, Jerome I., Mook-Kanamori, Dennis O., Wilson, James F., van der Harst, Pim, Jukema, J. Wouter, Ikram, M. Arfan, Desch, Karl C., Sabater-Lleal, Maria, Lowenstein, Charles J., and Morrison, Alanna C.
Published: 2024
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8. Whole Genome Sequence Analysis of the Plasma Proteome in Black Adults Provides Novel Insights Into Cardiovascular Disease

Author: Katz, Daniel H, Tahir, Usman A, Bick, Alexander G, Pampana, Akhil, Ngo, Debby, Benson, Mark D, Yu, Zhi, Robbins, Jeremy M, Chen, Zsu-Zsu, Cruz, Daniel E, Deng, Shuliang, Farrell, Laurie, Sinha, Sumita, Schmaier, Alec A, Shen, Dongxiao, Gao, Yan, Hall, Michael E, Correa, Adolfo, Tracy, Russell P, Durda, Peter, Taylor, Kent D, Liu, Yongmei, Johnson, W Craig, Guo, Xiuqing, Yao, Jie, Ida Chen, Yii-Der, Manichaikul, Ani W, Jain, Deepti, Bouchard, Claude, Sarzynski, Mark A, Rich, Stephen S, Rotter, Jerome I, Wang, Thomas J, Wilson, James G, Natarajan, Pradeep, Gerszten, Robert E, Abe, Namiko, Abecasis, Gonçalo, Aguet, Francois, Albert, Christine, Almasy, Laura, Alonso, Alvaro, Ament, Seth, Anderson, Peter, Anugu, Pramod, Applebaum-Bowden, Deborah, Ardlie, Kristin, Arking, Dan, Arnett, Donna K, Ashley-Koch, Allison, Aslibekyan, Stella, Assimes, Tim, Auer, Paul, Avramopoulos, Dimitrios, Ayas, Najib, Balasubramanian, Adithya, Barnard, John, Barnes, Kathleen, Barr, R Graham, Barron-Casella, Emily, Barwick, Lucas, Beaty, Terri, Beck, Gerald, Becker, Diane, Becker, Lewis, Beer, Rebecca, Beitelshees, Amber, Benjamin, Emelia, Benos, Takis, Bezerra, Marcos, Bielak, Larry, Bis, Joshua, Blackwell, Thomas, Blangero, John, Boerwinkle, Eric, Bowden, Donald W, Bowler, Russell, Brody, Jennifer, Broeckel, Ulrich, Broome, Jai, Brown, Deborah, Bunting, Karen, Burchard, Esteban, Bustamante, Carlos, Buth, Erin, Cade, Brian, Cardwell, Jonathan, Carey, Vincent, Carrier, Julie, Carson, April, Carty, Cara, Casaburi, Richard, Casas Romero, Juan P, Casella, James, Castaldi, Peter, Chaffin, Mark, Chang, Christy, Chang, Yi-Cheng, Chasman, Daniel, and Chavan, Sameer
Subjects: Epidemiology, Health Sciences, Aging, Heart Disease - Coronary Heart Disease, Human Genome, Genetics, Prevention, Cardiovascular, Heart Disease, Biotechnology, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being, Adult, Black People, Cardiovascular Diseases, Female, Genome-Wide Association Study, Humans, Male, Proteome, cardiovascular disease, genetics, proteomics, race and ethnicity, National Heart, Lung, and Blood Institute TOPMed (Trans-Omics for Precision Medicine) Consortium†, Cardiorespiratory Medicine and Haematology, Clinical Sciences, Public Health and Health Services, Cardiovascular System & Hematology, Cardiovascular medicine and haematology, Clinical sciences, Sports science and exercise
Abstract: BackgroundPlasma proteins are critical mediators of cardiovascular processes and are the targets of many drugs. Previous efforts to characterize the genetic architecture of the plasma proteome have been limited by a focus on individuals of European descent and leveraged genotyping arrays and imputation. Here we describe whole genome sequence analysis of the plasma proteome in individuals with greater African ancestry, increasing our power to identify novel genetic determinants.MethodsProteomic profiling of 1301 proteins was performed in 1852 Black adults from the Jackson Heart Study using aptamer-based proteomics (SomaScan). Whole genome sequencing association analysis was ascertained for all variants with minor allele count ≥5. Results were validated using an alternative, antibody-based, proteomic platform (Olink) as well as replicated in the Multi-Ethnic Study of Atherosclerosis and the HERITAGE Family Study (Health, Risk Factors, Exercise Training and Genetics).ResultsWe identify 569 genetic associations between 479 proteins and 438 unique genetic regions at a Bonferroni-adjusted significance level of 3.8×10-11. These associations include 114 novel locus-protein relationships and an additional 217 novel sentinel variant-protein relationships. Novel cardiovascular findings include new protein associations at the APOE gene locus including ZAP70 (sentinel single nucleotide polymorphism [SNP] rs7412-T, β=0.61±0.05, P=3.27×10-30) and MMP-3 (β=-0.60±0.05, P=1.67×10-32), as well as a completely novel pleiotropic locus at the HPX gene, associated with 9 proteins. Further, the associations suggest new mechanisms of genetically mediated cardiovascular disease linked to African ancestry; we identify a novel association between variants linked to APOL1-associated chronic kidney and heart disease and the protein CKAP2 (rs73885319-G, β=0.34±0.04, P=1.34×10-17) as well as an association between ATTR amyloidosis and RBP4 levels in community-dwelling individuals without heart failure.ConclusionsTaken together, these results provide evidence for the functional importance of variants in non-European populations, and suggest new biological mechanisms for ancestry-specific determinants of lipids, coagulation, and myocardial function.
Published: 2022

9. Neurocognitive trajectory and proteomic signature of inherited risk for Alzheimer’s disease

Author: Paranjpe, Manish D, Chaffin, Mark, Zahid, Sohail, Ritchie, Scott, Rotter, Jerome I, Rich, Stephen S, Gerszten, Robert, Guo, Xiuqing, Heckbert, Susan, Tracy, Russ, Danesh, John, Lander, Eric S, Inouye, Michael, Kathiresan, Sekar, Butterworth, Adam S, and Khera, Amit V
Subjects: Biological Sciences, Genetics, Dementia, Human Genome, Clinical Research, Brain Disorders, Neurosciences, Acquired Cognitive Impairment, Neurodegenerative, Prevention, Alzheimer's Disease, Aging, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Aetiology, Detection, screening and diagnosis, 2.1 Biological and endogenous factors, 4.1 Discovery and preclinical testing of markers and technologies, Adult, Aged, Alzheimer Disease, Biomarkers, Cross-Sectional Studies, Genome-Wide Association Study, Humans, Middle Aged, Proteomics, Developmental Biology
Abstract: For Alzheimer's disease-a leading cause of dementia and global morbidity-improved identification of presymptomatic high-risk individuals and identification of new circulating biomarkers are key public health needs. Here, we tested the hypothesis that a polygenic predictor of risk for Alzheimer's disease would identify a subset of the population with increased risk of clinically diagnosed dementia, subclinical neurocognitive dysfunction, and a differing circulating proteomic profile. Using summary association statistics from a recent genome-wide association study, we first developed a polygenic predictor of Alzheimer's disease comprised of 7.1 million common DNA variants. We noted a 7.3-fold (95% CI 4.8 to 11.0; p < 0.001) gradient in risk across deciles of the score among 288,289 middle-aged participants of the UK Biobank study. In cross-sectional analyses stratified by age, minimal differences in risk of Alzheimer's disease and performance on a digit recall test were present according to polygenic score decile at age 50 years, but significant gradients emerged by age 65. Similarly, among 30,541 participants of the Mass General Brigham Biobank, we again noted no significant differences in Alzheimer's disease diagnosis at younger ages across deciles of the score, but for those over 65 years we noted an odds ratio of 2.0 (95% CI 1.3 to 3.2; p = 0.002) in the top versus bottom decile of the polygenic score. To understand the proteomic signature of inherited risk, we performed aptamer-based profiling in 636 blood donors (mean age 43 years) with very high or low polygenic scores. In addition to the well-known apolipoprotein E biomarker, this analysis identified 27 additional proteins, several of which have known roles related to disease pathogenesis. Differences in protein concentrations were consistent even among the youngest subset of blood donors (mean age 33 years). Of these 28 proteins, 7 of the 8 proteins with concentrations available were similarly associated with the polygenic score in participants of the Multi-Ethnic Study of Atherosclerosis. These data highlight the potential for a DNA-based score to identify high-risk individuals during the prolonged presymptomatic phase of Alzheimer's disease and to enable biomarker discovery based on profiling of young individuals in the extremes of the score distribution.
Published: 2022

10. Transfer learning enables predictions in network biology

Author: Theodoris, Christina V., Xiao, Ling, Chopra, Anant, Chaffin, Mark D., Al Sayed, Zeina R., Hill, Matthew C., Mantineo, Helene, Brydon, Elizabeth M., Zeng, Zexian, Liu, X. Shirley, and Ellinor, Patrick T.
Published: 2023
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11. Adjusting for common variant polygenic scores improves yield in rare variant association analyses

Author: Jurgens, Sean J., Pirruccello, James P., Choi, Seung Hoan, Morrill, Valerie N., Chaffin, Mark, Lubitz, Steven A., Lunetta, Kathryn L., and Ellinor, Patrick T.
Published: 2023
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12. SnRNA sequencing defines signaling by RBC-derived extracellular vesicles in the murine heart

Author: Valkov, Nedyalka, Das, Avash, Tucker, Nathan R, Li, Guoping, Salvador, Ane M, Chaffin, Mark D, De Oliveira, Getulio Pereira, Kur, Ivan, Gokulnath, Priyanka, Ziegler, Olivia, Yeri, Ashish, Lu, Shulin, Khamesra, Aushee, Xiao, Chunyang, Rodosthenous, Rodosthenis, Srinivasan, Srimeenakshi, Toxavidis, Vasilis, Tigges, John, Laurent, Louise C, Momma, Stefan, Kitchen, Robert, Ellinor, Patrick, Ghiran, Ionita, and Das, Saumya
Subjects: Biochemistry and Cell Biology, Medical Physiology, Biomedical and Clinical Sciences, Biological Sciences, Heart Disease, Cardiovascular, 1.1 Normal biological development and functioning, 2.1 Biological and endogenous factors, Underpinning research, Aetiology, Animals, Cell Communication, Cell Proliferation, Cells, Cultured, Disease Models, Animal, Erythrocytes, Extracellular Vesicles, Female, Healthy Volunteers, Heart Failure, Humans, Male, Mice, Mice, Inbred C57BL, Mice, Transgenic, Myocardial Infarction, Myocardium, Myocytes, Cardiac, RNA, Nuclear, RNA-Seq, Signal Transduction, Single-Cell Analysis, Biological sciences, Biomedical and clinical sciences
Abstract: Extracellular vesicles (EVs) mediate intercellular signaling by transferring their cargo to recipient cells, but the functional consequences of signaling are not fully appreciated. RBC-derived EVs are abundant in circulation and have been implicated in regulating immune responses. Here, we use a transgenic mouse model for fluorescence-based mapping of RBC-EV recipient cells to assess the role of this intercellular signaling mechanism in heart disease. Using fluorescent-based mapping, we detected an increase in RBC-EV-targeted cardiomyocytes in a murine model of ischemic heart failure. Single cell nuclear RNA sequencing of the heart revealed a complex landscape of cardiac cells targeted by RBC-EVs, with enrichment of genes implicated in cell proliferation and stress signaling pathways compared with non-targeted cells. Correspondingly, cardiomyocytes targeted by RBC-EVs more frequently express cellular markers of DNA synthesis, suggesting the functional significance of EV-mediated signaling. In conclusion, our mouse model for mapping of EV-recipient cells reveals a complex cellular network of RBC-EV-mediated intercellular communication in ischemic heart failure and suggests a functional role for this mode of intercellular signaling.
Published: 2021

13. Rare Coding Variants Associated With Electrocardiographic Intervals Identify Monogenic Arrhythmia Susceptibility Genes: A Multi-Ancestry Analysis.

Author: Choi, Seung Hoan, Jurgens, Sean J, Haggerty, Christopher M, Hall, Amelia W, Halford, Jennifer L, Morrill, Valerie N, Weng, Lu-Chen, Lagerman, Braxton, Mirshahi, Tooraj, Pettinger, Mary, Guo, Xiuqing, Lin, Henry J, Alonso, Alvaro, Soliman, Elsayed Z, Kornej, Jelena, Lin, Honghuang, Moscati, Arden, Nadkarni, Girish N, Brody, Jennifer A, Wiggins, Kerri L, Cade, Brian E, Lee, Jiwon, Austin-Tse, Christina, Blackwell, Tom, Chaffin, Mark D, Lee, Christina J-Y, Rehm, Heidi L, Roselli, Carolina, Regeneron Genetics Center, Redline, Susan, Mitchell, Braxton D, Sotoodehnia, Nona, Psaty, Bruce M, Heckbert, Susan R, Loos, Ruth JF, Vasan, Ramachandran S, Benjamin, Emelia J, Correa, Adolfo, Boerwinkle, Eric, Arking, Dan E, Rotter, Jerome I, Rich, Stephen S, Whitsel, Eric A, Perez, Marco, Kooperberg, Charles, Fornwalt, Brandon K, Lunetta, Kathryn L, Ellinor, Patrick T, Lubitz, Steven A, and NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium
Subjects: Regeneron Genetics Center, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Humans, Long QT Syndrome, Death, Sudden, Cardiac, Genetic Predisposition to Disease, Electrocardiography, Heterozygote, Female, Male, Genetic Variation, Exome Sequencing, death, sudden, cardiac, epidemiology, genetics, genome, population, Clinical Research, Cardiovascular, Genetics, Heart Disease, Human Genome, Biotechnology, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being, death, sudden, cardiac
Abstract: BackgroundAlterations in electrocardiographic (ECG) intervals are well-known markers for arrhythmia and sudden cardiac death (SCD) risk. While the genetics of arrhythmia syndromes have been studied, relations between electrocardiographic intervals and rare genetic variation at a population level are poorly understood.MethodsUsing a discovery sample of 29 000 individuals with whole-genome sequencing from Trans-Omics in Precision Medicine and replication in nearly 100 000 with whole-exome sequencing from the UK Biobank and MyCode, we examined associations between low-frequency and rare coding variants with 5 routinely measured electrocardiographic traits (RR, P-wave, PR, and QRS intervals and corrected QT interval).ResultsWe found that rare variants associated with population-based electrocardiographic intervals identify established monogenic SCD genes (KCNQ1, KCNH2, and SCN5A), a controversial monogenic SCD gene (KCNE1), and novel genes (PAM and MFGE8) involved in cardiac conduction. Loss-of-function and pathogenic SCN5A variants, carried by 0.1% of individuals, were associated with a nearly 6-fold increased odds of the first-degree atrioventricular block (P=8.4×10-5). Similar variants in KCNQ1 and KCNH2 (0.2% of individuals) were associated with a 23-fold increased odds of marked corrected QT interval prolongation (P=4×10-25), a marker of SCD risk. Incomplete penetrance of such deleterious variation was common as over 70% of carriers had normal electrocardiographic intervals.ConclusionsOur findings indicate that large-scale high-depth sequence data and electrocardiographic analysis identifies monogenic arrhythmia susceptibility genes and rare variants with large effects. Known pathogenic variation in conventional arrhythmia and SCD genes exhibited incomplete penetrance and accounted for only a small fraction of marked electrocardiographic interval prolongation.
Published: 2021

14. Single-cell meta-analysis of SARS-CoV-2 entry genes across tissues and demographics.

Author: Muus, Christoph, Luecken, Malte, Eraslan, Gökcen, Sikkema, Lisa, Waghray, Avinash, Heimberg, Graham, Kobayashi, Yoshihiko, Vaishnav, Eeshit, Subramanian, Ayshwarya, Smillie, Christopher, Jagadeesh, Karthik, Duong, Elizabeth, Fiskin, Evgenij, Torlai Triglia, Elena, Ansari, Meshal, Cai, Peiwen, Lin, Brian, Buchanan, Justin, Chen, Sijia, Shu, Jian, Haber, Adam, Chung, Hattie, Montoro, Daniel, Adams, Taylor, Aliee, Hananeh, Allon, Samuel, Andrusivova, Zaneta, Angelidis, Ilias, Ashenberg, Orr, Bassler, Kevin, Bécavin, Christophe, Benhar, Inbal, Bergenstråhle, Joseph, Bergenstråhle, Ludvig, Bolt, Liam, Braun, Emelie, Bui, Linh, Callori, Steven, Chaffin, Mark, Chichelnitskiy, Evgeny, Chiou, Joshua, Conlon, Thomas, Cuoco, Michael, Cuomo, Anna, Deprez, Marie, Duclos, Grant, Fine, Denise, Fischer, David, Ghazanfar, Shila, Gillich, Astrid, Giotti, Bruno, Gould, Joshua, Guo, Minzhe, Gutierrez, Austin, Habermann, Arun, Harvey, Tyler, He, Peng, Hou, Xiaomeng, Hu, Lijuan, Hu, Yan, Jaiswal, Alok, Ji, Lu, Jiang, Peiyong, Kapellos, Theodoros, Kuo, Christin, Larsson, Ludvig, Leney-Greene, Michael, Lim, Kyungtae, Litviňuková, Monika, Ludwig, Leif, Lukassen, Soeren, Luo, Wendy, Maatz, Henrike, Madissoon, Elo, Mamanova, Lira, Manakongtreecheep, Kasidet, Leroy, Sylvie, Mayr, Christoph, Mbano, Ian, McAdams, Alexi, Nabhan, Ahmad, Nyquist, Sarah, Penland, Lolita, Poirion, Olivier, Poli, Sergio, Qi, CanCan, Queen, Rachel, Reichart, Daniel, Rosas, Ivan, Schupp, Jonas, Shea, Conor, Shi, Xingyi, Sinha, Rahul, Sit, Rene, Slowikowski, Kamil, Slyper, Michal, Smith, Neal, Sountoulidis, Alex, Strunz, Maximilian, and Sullivan, Travis
Subjects: Adult, Aged, Aged, 80 and over, Alveolar Epithelial Cells, Angiotensin-Converting Enzyme 2, COVID-19, Cathepsin L, Datasets as Topic, Demography, Female, Gene Expression Profiling, Host-Pathogen Interactions, Humans, Lung, Male, Middle Aged, Organ Specificity, Respiratory System, SARS-CoV-2, Sequence Analysis, RNA, Serine Endopeptidases, Single-Cell Analysis, Virus Internalization
Abstract: Angiotensin-converting enzyme 2 (ACE2) and accessory proteases (TMPRSS2 and CTSL) are needed for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cellular entry, and their expression may shed light on viral tropism and impact across the body. We assessed the cell-type-specific expression of ACE2, TMPRSS2 and CTSL across 107 single-cell RNA-sequencing studies from different tissues. ACE2, TMPRSS2 and CTSL are coexpressed in specific subsets of respiratory epithelial cells in the nasal passages, airways and alveoli, and in cells from other organs associated with coronavirus disease 2019 (COVID-19) transmission or pathology. We performed a meta-analysis of 31 lung single-cell RNA-sequencing studies with 1,320,896 cells from 377 nasal, airway and lung parenchyma samples from 228 individuals. This revealed cell-type-specific associations of age, sex and smoking with expression levels of ACE2, TMPRSS2 and CTSL. Expression of entry factors increased with age and in males, including in airway secretory cells and alveolar type 2 cells. Expression programs shared by ACE2+TMPRSS2+ cells in nasal, lung and gut tissues included genes that may mediate viral entry, key immune functions and epithelial-macrophage cross-talk, such as genes involved in the interleukin-6, interleukin-1, tumor necrosis factor and complement pathways. Cell-type-specific expression patterns may contribute to the pathogenesis of COVID-19, and our work highlights putative molecular pathways for therapeutic intervention.
Published: 2021

15. Epigenome-wide DNA methylation association study of circulating IgE levels identifies novel targets for asthma

Author: Abe, Namiko, Abecasis, Gonçalo, Aguet, Francois, Albert, Christine, Almasy, Laura, Alonso, Alvaro, Ament, Seth, Anderson, Peter, Anugu, Pramod, Applebaum-Bowden, Deborah, Ardlie, Kristin, Arking, Dan, Arnett, Donna K., Ashley-Koch, Allison, Aslibekyan, Stella, Assimes, Tim, Auer, Paul, Avramopoulos, Dimitrios, Ayas, Najib, Balasubramanian, Adithya, Barnard, John, Barnes, Kathleen, Barr, R. Graham, Barron-Casella, Emily, Barwick, Lucas, Beaty, Terri, Beck, Gerald, Becker, Diane, Becker, Lewis, Beer, Rebecca, Beitelshees, Amber, Benjamin, Emelia, Benos, Takis, Bezerra, Marcos, Bielak, Larry, Bis, Joshua, Blackwell, Thomas, Blangero, John, Blue, Nathan, Boerwinkle, Eric, Bowden, Donald W., Bowler, Russell, Brody, Jennifer, Broeckel, Ulrich, Broome, Jai, Brown, Deborah, Bunting, Karen, Burchard, Esteban, Bustamante, Carlos, Buth, Erin, Cade, Brian, Cardwell, Jonathan, Carey, Vincent, Carrier, Julie, Carson, April P., Carty, Cara, Casaburi, Richard, Casas Romero, Juan P., Casella, James, Castaldi, Peter, Chaffin, Mark, Chang, Christy, Chang, Yi-Cheng, Chasman, Daniel, Chavan, Sameer, Chen, Bo-Juen, Chen, Wei-Min, Ida Chen, Yii-Der, Cho, Michael, Choi, Seung Hoan, Chuang, Lee-Ming, Chung, Mina, Chung, Ren-Hua, Clish, Clary, Comhair, Suzy, Conomos, Matthew, Cornell, Elaine, Correa, Adolfo, Crandall, Carolyn, Crapo, James, Cupples, L. Adrienne, Curran, Joanne, Curtis, Jeffrey, Custer, Brian, Damcott, Coleen, Darbar, Dawood, David, Sean, Davis, Colleen, Daya, Michelle, de Andrade, Mariza, de las Fuentes, Lisa, de Vries, Paul, DeBaun, Michael, Deka, Ranjan, DeMeo, Dawn, Devine, Scott, Dinh, Huyen, Doddapaneni, Harsha, Duan, Qing, Dugan-Perez, Shannon, Duggirala, Ravi, Durda, Jon Peter, Dutcher, Susan K., Eaton, Charles, Ekunwe, Lynette, El Boueiz, Adel, Ellinor, Patrick, Emery, Leslie, Erzurum, Serpil, Farber, Charles, Farek, Jesse, Fingerlin, Tasha, Flickinger, Matthew, Fornage, Myriam, Franceschini, Nora, Frazar, Chris, Fu, Mao, Fullerton, Stephanie M., Fulton, Lucinda, Gabriel, Stacey, Gan, Weiniu, Gao, Shanshan, Gao, Yan, Gass, Margery, Geiger, Heather, Gelb, Bruce, Geraci, Mark, Germer, Soren, Gerszten, Robert, Ghosh, Auyon, Gibbs, Richard, Gignoux, Chris, Gladwin, Mark, Glahn, David, Gogarten, Stephanie, Gong, Da-Wei, Goring, Harald, Graw, Sharon, Gray, Kathryn J., Grine, Daniel, Gross, Colin, Gu, C. Charles, Guan, Yue, Guo, Xiuqing, Gupta, Namrata, Haessler, Jeff, Hall, Michael, Han, Yi, Hanly, Patrick, Harris, Daniel, Hawley, Nicola L., He, Jiang, Heavner, Ben, Heckbert, Susan, Hernandez, Ryan, Herrington, David, Hersh, Craig, Hidalgo, Bertha, Hixson, James, Hobbs, Brian, Hokanson, John, Hong, Elliott, Hoth, Karin, Hsiung, Chao (Agnes), Hu, Jianhong, Hung, Yi-Jen, Huston, Haley, Hwu, Chii Min, Irvin, Marguerite Ryan, Jackson, Rebecca, Jain, Deepti, Jaquish, Cashell, Johnsen, Jill, Johnson, Andrew, Johnson, Craig, Johnston, Rich, Jones, Kimberly, Kang, Hyun Min, Kaplan, Robert, Kardia, Sharon, Kelly, Shannon, Kenny, Eimear, Kessler, Michael, Khan, Alyna, Khan, Ziad, Kim, Wonji, Kimoff, John, Kinney, Greg, Konkle, Barbara, Kooperberg, Charles, Kramer, Holly, Lange, Christoph, Lange, Ethan, Lange, Leslie, Laurie, Cathy, Laurie, Cecelia, LeBoff, Meryl, Lee, Jiwon, Lee, Sandra, Lee, Wen-Jane, LeFaive, Jonathon, Levine, David, Levy, Daniel, Lewis, Joshua, Li, Xiaohui, Li, Yun, Lin, Henry, Lin, Honghuang, Lin, Xihong, Liu, Simin, Liu, Yongmei, Liu, Yu, Loos, Ruth J.F., Lubitz, Steven, Lunetta, Kathryn, Luo, James, Magalang, Ulysses, Mahaney, Michael, Make, Barry, Manichaikul, Ani, Manning, Alisa, Manson, JoAnn, Martin, Lisa, Marton, Melissa, Mathai, Susan, Mathias, Rasika, May, Susanne, McArdle, Patrick, McDonald, Merry-Lynn, McFarland, Sean, McGarvey, Stephen, McGoldrick, Daniel, McHugh, Caitlin, McNeil, Becky, Mei, Hao, Meigs, James, Menon, Vipin, Mestroni, Luisa, Metcalf, Ginger, Meyers, Deborah A., Mignot, Emmanuel, Mikulla, Julie, Min, Nancy, Minear, Mollie, Minster, Ryan L., Mitchell, Braxton D., Moll, Matt, Momin, Zeineen, Montasser, May E., Montgomery, Courtney, Muzny, Donna, Mychaleckyj, Josyf C., Nadkarni, Girish, Naik, Rakhi, Naseri, Take, Natarajan, Pradeep, Nekhai, Sergei, Nelson, Sarah C., Neltner, Bonnie, Nessner, Caitlin, Nickerson, Deborah, Nkechinyere, Osuji, North, Kari, O'Connell, Jeff, O'Connor, Tim, Ochs-Balcom, Heather, Okwuonu, Geoffrey, Pack, Allan, Paik, David T., Palmer, Nicholette, Pankow, James, Papanicolaou, George, Parker, Cora, Peloso, Gina, Peralta, Juan Manuel, Perez, Marco, Perry, James, Peters, Ulrike, Peyser, Patricia, Phillips, Lawrence S., Pleiness, Jacob, Pollin, Toni, Post, Wendy, Powers Becker, Julia, Preethi Boorgula, Meher, Preuss, Michael, Psaty, Bruce, Qasba, Pankaj, Qiao, Dandi, Qin, Zhaohui, Rafaels, Nicholas, Raffield, Laura, Rajendran, Mahitha, Ramachandran, Vasan S., Rao, D.C., Rasmussen-Torvik, Laura, Ratan, Aakrosh, Redline, Susan, Reed, Robert, Reeves, Catherine, Regan, Elizabeth, Reiner, Alex, Reupena, Muagututi‘a Sefuiva, Rice, Ken, Rich, Stephen, Robillard, Rebecca, Robine, Nicolas, Roden, Dan, Roselli, Carolina, Rotter, Jerome, Ruczinski, Ingo, Runnels, Alexi, Russell, Pamela, Ruuska, Sarah, Ryan, Kathleen, Sabino, Ester Cerdeira, Saleheen, Danish, Salimi, Shabnam, Salvi, Sejal, Salzberg, Steven, Sandow, Kevin, Sankaran, Vijay G., Santibanez, Jireh, Schwander, Karen, Schwartz, David, Sciurba, Frank, Seidman, Christine, Seidman, Jonathan, Sériès, Frédéric, Sheehan, Vivien, Sherman, Stephanie L., Shetty, Amol, Shetty, Aniket, Sheu, Wayne Hui-Heng, Shoemaker, M. Benjamin, Silver, Brian, Silverman, Edwin, Skomro, Robert, Smith, Albert Vernon, Smith, Jennifer, Smith, Josh, Smith, Nicholas, Smith, Tanja, Smoller, Sylvia, Snively, Beverly, Snyder, Michael, Sofer, Tamar, Sotoodehnia, Nona, Stilp, Adrienne M., Storm, Garrett, Streeten, Elizabeth, Su, Jessica Lasky, Sung, Yun Ju, Sylvia, Jody, Szpiro, Adam, Taliun, Daniel, Tang, Hua, Taub, Margaret, Taylor, Kent, Taylor, Matthew, Taylor, Simeon, Telen, Marilyn, Thornton, Timothy A., Threlkeld, Machiko, Tinker, Lesley, Tirschwell, David, Tishkoff, Sarah, Tiwari, Hemant, Tong, Catherine, Tracy, Russell, Tsai, Michael, Vaidya, Dhananjay, Van Den Berg, David, VandeHaar, Peter, Vrieze, Scott, Walker, Tarik, Wallace, Robert, Walts, Avram, Wang, Fei Fei, Wang, Heming, Wang, Jiongming, Watson, Karol, Watt, Jennifer, Weeks, Daniel E., Weinstock, Joshua, Weir, Bruce, Weiss, Scott T., Weng, Lu-Chen, Wessel, Jennifer, Willer, Cristen, Williams, Kayleen, Williams, L. Keoki, Williams, Scott, Wilson, Carla, Wilson, James, Winterkorn, Lara, Wong, Quenna, Wu, Baojun, Wu, Joseph, Xu, Huichun, Yanek, Lisa, Yang, Ivana, Yu, Ketian, Zekavat, Seyedeh Maryam, Zhang, Yingze, Zhao, Snow Xueyan, Zhao, Wei, Zhu, Xiaofeng, Ziv, Elad, Zody, Michael, Zoellner, Sebastian, Recto, Kathryn, Kachroo, Priyadarshini, Huan, Tianxiao, Lee, Gha Young, Bui, Helena, Lee, Dong Heon, Gereige, Jessica, Yao, Chen, Hwang, Shih-Jen, Joehanes, Roby, O’Connor, George T., and DeMeo, Dawn L.
Published: 2023
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16. Abstract 14515: Distinct Genetic Mechanisms for Bradyarrhythmias From Multi-Center Multi-Ancestry Meta-Analyses

Author: Weng, Lu-Chen C, Ramo, Joel, Jurgens, Sean J, Chaffin, Mark, Khurshid, Shaan, Haggerty, Christopher M, Cho, Kelly, Palotie, Aarno, Wilson, Peter, Ellinor, Patrick T, and Lubitz, Steven A
Published: 2023
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17. Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction.

Author: Ntalla, Ioanna, Weng, Lu-Chen, Cartwright, James H, Hall, Amelia Weber, Sveinbjornsson, Gardar, Tucker, Nathan R, Choi, Seung Hoan, Chaffin, Mark D, Roselli, Carolina, Barnes, Michael R, Mifsud, Borbala, Warren, Helen R, Hayward, Caroline, Marten, Jonathan, Cranley, James J, Concas, Maria Pina, Gasparini, Paolo, Boutin, Thibaud, Kolcic, Ivana, Polasek, Ozren, Rudan, Igor, Araujo, Nathalia M, Lima-Costa, Maria Fernanda, Ribeiro, Antonio Luiz P, Souza, Renan P, Tarazona-Santos, Eduardo, Giedraitis, Vilmantas, Ingelsson, Erik, Mahajan, Anubha, Morris, Andrew P, Del Greco M, Fabiola, Foco, Luisa, Gögele, Martin, Hicks, Andrew A, Cook, James P, Lind, Lars, Lindgren, Cecilia M, Sundström, Johan, Nelson, Christopher P, Riaz, Muhammad B, Samani, Nilesh J, Sinagra, Gianfranco, Ulivi, Sheila, Kähönen, Mika, Mishra, Pashupati P, Mononen, Nina, Nikus, Kjell, Caulfield, Mark J, Dominiczak, Anna, Padmanabhan, Sandosh, Montasser, May E, O'Connell, Jeff R, Ryan, Kathleen, Shuldiner, Alan R, Aeschbacher, Stefanie, Conen, David, Risch, Lorenz, Thériault, Sébastien, Hutri-Kähönen, Nina, Lehtimäki, Terho, Lyytikäinen, Leo-Pekka, Raitakari, Olli T, Barnes, Catriona LK, Campbell, Harry, Joshi, Peter K, Wilson, James F, Isaacs, Aaron, Kors, Jan A, van Duijn, Cornelia M, Huang, Paul L, Gudnason, Vilmundur, Harris, Tamara B, Launer, Lenore J, Smith, Albert V, Bottinger, Erwin P, Loos, Ruth JF, Nadkarni, Girish N, Preuss, Michael H, Correa, Adolfo, Mei, Hao, Wilson, James, Meitinger, Thomas, Müller-Nurasyid, Martina, Peters, Annette, Waldenberger, Melanie, Mangino, Massimo, Spector, Timothy D, Rienstra, Michiel, van de Vegte, Yordi J, van der Harst, Pim, Verweij, Niek, Kääb, Stefan, Schramm, Katharina, Sinner, Moritz F, Strauch, Konstantin, Cutler, Michael J, Fatkin, Diane, London, Barry, Olesen, Morten, and Roden, Dan M
Subjects: Humans, Cardiovascular Diseases, Genetic Predisposition to Disease, Electrocardiography, Gene Expression, Multifactorial Inheritance, Quantitative Trait Loci, Female, Male, Arrhythmias, Cardiac, Genetic Variation, Genome-Wide Association Study, Genetic Loci, Endophenotypes, Arrhythmias, Cardiac
Abstract: The electrocardiographic PR interval reflects atrioventricular conduction, and is associated with conduction abnormalities, pacemaker implantation, atrial fibrillation (AF), and cardiovascular mortality. Here we report a multi-ancestry (N = 293,051) genome-wide association meta-analysis for the PR interval, discovering 202 loci of which 141 have not previously been reported. Variants at identified loci increase the percentage of heritability explained, from 33.5% to 62.6%. We observe enrichment for cardiac muscle developmental/contractile and cytoskeletal genes, highlighting key regulation processes for atrioventricular conduction. Additionally, 8 loci not previously reported harbor genes underlying inherited arrhythmic syndromes and/or cardiomyopathies suggesting a role for these genes in cardiovascular pathology in the general population. We show that polygenic predisposition to PR interval duration is an endophenotype for cardiovascular disease, including distal conduction disease, AF, and atrioventricular pre-excitation. These findings advance our understanding of the polygenic basis of cardiac conduction, and the genetic relationship between PR interval duration and cardiovascular disease.
Published: 2020

18. Publisher Correction: Deep coverage whole genome sequences and plasma lipoprotein(a) in individuals of European and African ancestries.

Author: Zekavat, Seyedeh M, Ruotsalainen, Sanni, Handsaker, Robert E, Alver, Maris, Bloom, Jonathan, Poterba, Timothy, Seed, Cotton, Ernst, Jason, Chaffin, Mark, Engreitz, Jesse, Peloso, Gina M, Manichaikul, Ani, Yang, Chaojie, Ryan, Kathleen A, Fu, Mao, Johnson, W Craig, Tsai, Michael, Budoff, Matthew, Vasan, Ramachandran S, Cupples, L Adrienne, Rotter, Jerome I, Rich, Stephen S, Post, Wendy, Mitchell, Braxton D, Correa, Adolfo, Metspalu, Andres, Wilson, James G, Salomaa, Veikko, Kellis, Manolis, Daly, Mark J, Neale, Benjamin M, McCarroll, Steven, Surakka, Ida, Esko, Tonu, Ganna, Andrea, Ripatti, Samuli, Kathiresan, Sekar, Natarajan, Pradeep, and NHLBI TOPMed Lipids Working Group
Subjects: NHLBI TOPMed Lipids Working Group
Abstract: An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Published: 2020

19. Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure.

Author: Shah, Sonia, Henry, Albert, Roselli, Carolina, Lin, Honghuang, Sveinbjörnsson, Garðar, Fatemifar, Ghazaleh, Hedman, Åsa K, Wilk, Jemma B, Morley, Michael P, Chaffin, Mark D, Helgadottir, Anna, Verweij, Niek, Dehghan, Abbas, Almgren, Peter, Andersson, Charlotte, Aragam, Krishna G, Ärnlöv, Johan, Backman, Joshua D, Biggs, Mary L, Bloom, Heather L, Brandimarto, Jeffrey, Brown, Michael R, Buckbinder, Leonard, Carey, David J, Chasman, Daniel I, Chen, Xing, Chen, Xu, Chung, Jonathan, Chutkow, William, Cook, James P, Delgado, Graciela E, Denaxas, Spiros, Doney, Alexander S, Dörr, Marcus, Dudley, Samuel C, Dunn, Michael E, Engström, Gunnar, Esko, Tõnu, Felix, Stephan B, Finan, Chris, Ford, Ian, Ghanbari, Mohsen, Ghasemi, Sahar, Giedraitis, Vilmantas, Giulianini, Franco, Gottdiener, John S, Gross, Stefan, Guðbjartsson, Daníel F, Gutmann, Rebecca, Haggerty, Christopher M, van der Harst, Pim, Hyde, Craig L, Ingelsson, Erik, Jukema, J Wouter, Kavousi, Maryam, Khaw, Kay-Tee, Kleber, Marcus E, Køber, Lars, Koekemoer, Andrea, Langenberg, Claudia, Lind, Lars, Lindgren, Cecilia M, London, Barry, Lotta, Luca A, Lovering, Ruth C, Luan, Jian'an, Magnusson, Patrik, Mahajan, Anubha, Margulies, Kenneth B, März, Winfried, Melander, Olle, Mordi, Ify R, Morgan, Thomas, Morris, Andrew D, Morris, Andrew P, Morrison, Alanna C, Nagle, Michael W, Nelson, Christopher P, Niessner, Alexander, Niiranen, Teemu, O'Donoghue, Michelle L, Owens, Anjali T, Palmer, Colin NA, Parry, Helen M, Perola, Markus, Portilla-Fernandez, Eliana, Psaty, Bruce M, Regeneron Genetics Center, Rice, Kenneth M, Ridker, Paul M, Romaine, Simon PR, Rotter, Jerome I, Salo, Perttu, Salomaa, Veikko, van Setten, Jessica, Shalaby, Alaa A, Smelser, Diane T, Smith, Nicholas L, Stender, Steen, and Stott, David J
Subjects: Regeneron Genetics Center, Humans, Atrial Fibrillation, Cardiomyopathies, Microfilament Proteins, Adaptor Proteins, Signal Transducing, Carrier Proteins, Muscle Proteins, Risk Factors, Case-Control Studies, Ventricular Function, Left, Cyclin-Dependent Kinase Inhibitor p21, Apoptosis Regulatory Proteins, Coronary Artery Disease, Heart Failure, Genome-Wide Association Study, Mendelian Randomization Analysis, Adaptor Proteins, Signal Transducing, Ventricular Function, Left
Abstract: Heart failure (HF) is a leading cause of morbidity and mortality worldwide. A small proportion of HF cases are attributable to monogenic cardiomyopathies and existing genome-wide association studies (GWAS) have yielded only limited insights, leaving the observed heritability of HF largely unexplained. We report results from a GWAS meta-analysis of HF comprising 47,309 cases and 930,014 controls. Twelve independent variants at 11 genomic loci are associated with HF, all of which demonstrate one or more associations with coronary artery disease (CAD), atrial fibrillation, or reduced left ventricular function, suggesting shared genetic aetiology. Functional analysis of non-CAD-associated loci implicate genes involved in cardiac development (MYOZ1, SYNPO2L), protein homoeostasis (BAG3), and cellular senescence (CDKN1A). Mendelian randomisation analysis supports causal roles for several HF risk factors, and demonstrates CAD-independent effects for atrial fibrillation, body mass index, and hypertension. These findings extend our knowledge of the pathways underlying HF and may inform new therapeutic strategies.
Published: 2020

20. Analysis of cardiac magnetic resonance imaging in 36,000 individuals yields genetic insights into dilated cardiomyopathy

Author: Pirruccello, James P, Bick, Alexander, Wang, Minxian, Chaffin, Mark, Friedman, Samuel, Yao, Jie, Guo, Xiuqing, Venkatesh, Bharath Ambale, Taylor, Kent D, Post, Wendy S, Rich, Stephen, Lima, Joao AC, Rotter, Jerome I, Philippakis, Anthony, Lubitz, Steven A, Ellinor, Patrick T, Khera, Amit V, Kathiresan, Sekar, and Aragam, Krishna G
Subjects: Biological Sciences, Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Genetics, Clinical Research, Rare Diseases, Cardiovascular, Heart Disease, Biomedical Imaging, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Cardiomyopathy, Dilated, Genome-Wide Association Study, Heart, Humans, Magnetic Resonance Imaging, Myocardium, Polymorphism, Single Nucleotide
Abstract: Dilated cardiomyopathy (DCM) is an important cause of heart failure and the leading indication for heart transplantation. Many rare genetic variants have been associated with DCM, but common variant studies of the disease have yielded few associated loci. As structural changes in the heart are a defining feature of DCM, we report a genome-wide association study of cardiac magnetic resonance imaging (MRI)-derived left ventricular measurements in 36,041 UK Biobank participants, with replication in 2184 participants from the Multi-Ethnic Study of Atherosclerosis. We identify 45 previously unreported loci associated with cardiac structure and function, many near well-established genes for Mendelian cardiomyopathies. A polygenic score of MRI-derived left ventricular end systolic volume strongly associates with incident DCM in the general population. Even among carriers of TTN truncating mutations, this polygenic score influences the size and function of the human heart. These results further implicate common genetic polymorphisms in the pathogenesis of DCM.
Published: 2020

21. Whole Genome Sequencing Identifies CRISPLD2 as a Lung Function Gene in Children With Asthma

Author: Kachroo, Priyadarshini, Hecker, Julian, Chawes, Bo L, Ahluwalia, Tarunveer S, Cho, Michael H, Qiao, Dandi, Kelly, Rachel S, Chu, Su H, Virkud, Yamini V, Huang, Mengna, Barnes, Kathleen C, Burchard, Esteban G, Eng, Celeste, Hu, Donglei, Celedón, Juan C, Daya, Michelle, Levin, Albert M, Gui, Hongsheng, Williams, L Keoki, Forno, Erick, Mak, Angel CY, Avila, Lydiana, Soto-Quiros, Manuel E, Cloutier, Michelle M, Acosta-Pérez, Edna, Canino, Glorisa, Bønnelykke, Klaus, Bisgaard, Hans, Raby, Benjamin A, Lange, Christoph, Weiss, Scott T, Lasky-Su, Jessica A, National Heart, Lung, Abe, Namiko, Abecasis, Goncalo, Albert, Christine, Allred, Nicholette Palmer, Almasy, Laura, Alonso, Alvaro, Ament, Seth, Anderson, Peter, Anugu, Pramod, Applebaum-Bowden, Deborah, Arking, Dan, Arnett, Donna K, Ashley-Koch, Allison, Aslibekyan, Stella, Assimes, Tim, Auer, Paul, Avramopoulos, Dimitrios, Barnard, John, Barnes, Kathleen, Barr, R Graham, 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, Russell, Brody, Jennifer, Broeckel, Ulrich, Broome, Jai, Bunting, Karen, Burchard, Esteban, Cardwell, Jonathan, Carty, Cara, Casaburi, Richard, Casella, James, Chaffin, Mark, Chang, Christy, Chasman, Daniel, Chavan, Sameer, Chen, Bo-Juen, Chen, Wei-Min, Chen, Yii-Der Ida, 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, and Das, Sayantan
Subjects: Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Clinical Sciences, Clinical Research, Asthma, Genetics, Pediatric, Biotechnology, Human Genome, Lung, 2.1 Biological and endogenous factors, Respiratory, Adolescent, Adult, Cell Adhesion Molecules, Child, Child, Preschool, Costa Rica, Female, Forced Expiratory Volume, Humans, Interferon Regulatory Factors, Male, Middle Aged, Respiratory Physiological Phenomena, Vital Capacity, Whole Genome Sequencing, Young Adult, airway hyperresponsiveness, asthma, lung function, whole genome sequencing, National Heart, Lung, and Blood Institute Trans-Omics for Precision Medicine (TOPMed) Consortium, Respiratory System, Cardiovascular medicine and haematology, Clinical sciences
Abstract: BackgroundAsthma is a common respiratory disorder with a highly heterogeneous nature that remains poorly understood. The objective was to use whole genome sequencing (WGS) data to identify regions of common genetic variation contributing to lung function in individuals with a diagnosis of asthma.MethodsWGS data were generated for 1,053 individuals from trios and extended pedigrees participating in the family-based Genetic Epidemiology of Asthma in Costa Rica study. Asthma affection status was defined through a physician's diagnosis of asthma, and most participants with asthma also had airway hyperresponsiveness (AHR) to methacholine. Family-based association tests for single variants were performed to assess the associations with lung function phenotypes.ResultsA genome-wide significant association was identified between baseline FEV1/FVC ratio and a single-nucleotide polymorphism in the top hit cysteine-rich secretory protein LCCL domain-containing 2 (CRISPLD2) (rs12051168; P = 3.6 × 10-8 in the unadjusted model) that retained suggestive significance in the covariate-adjusted model (P = 5.6 × 10-6). Rs12051168 was also nominally associated with other related phenotypes: baseline FEV1 (P = 3.3 × 10-3), postbronchodilator (PB) FEV1 (7.3 × 10-3), and PB FEV1/FVC ratio (P = 2.7 × 10-3). The identified baseline FEV1/FVC ratio and rs12051168 association was meta-analyzed and replicated in three independent cohorts in which most participants with asthma also had confirmed AHR (combined weighted z-score P = .015) but not in cohorts without information about AHR.ConclusionsThese findings suggest that using specific asthma characteristics, such as AHR, can help identify more genetically homogeneous asthma subgroups with genotype-phenotype associations that may not be observed in all children with asthma. CRISPLD2 also may be important for baseline lung function in individuals with asthma who also may have AHR.
Published: 2019

22. Single-nucleus profiling of human dilated and hypertrophic cardiomyopathy

Author: Chaffin, Mark, Papangeli, Irinna, Simonson, Bridget, Akkad, Amer-Denis, Hill, Matthew C., Arduini, Alessandro, Fleming, Stephen J., Melanson, Michelle, Hayat, Sikander, Kost-Alimova, Maria, Atwa, Ondine, Ye, Jiangchuan, Bedi, Jr, Kenneth C., Nahrendorf, Matthias, Kaushik, Virendar K., Stegmann, Christian M., Margulies, Kenneth B., Tucker, Nathan R., and Ellinor, Patrick T.
Published: 2022
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23. Genetic analysis of right heart structure and function in 40,000 people

Author: Pirruccello, James P., Di Achille, Paolo, Nauffal, Victor, Nekoui, Mahan, Friedman, Samuel F., Klarqvist, Marcus D. R., Chaffin, Mark D., Weng, Lu-Chen, Cunningham, Jonathan W., Khurshid, Shaan, Roselli, Carolina, Lin, Honghuang, Koyama, Satoshi, Ito, Kaoru, Kamatani, Yoichiro, Komuro, Issei, Jurgens, Sean J., Benjamin, Emelia J., Batra, Puneet, Natarajan, Pradeep, Ng, Kenney, Hoffmann, Udo, Lubitz, Steven A., Ho, Jennifer E., Lindsay, Mark E., Philippakis, Anthony A., and Ellinor, Patrick T.
Published: 2022
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24. Whole Genome Sequencing to Characterize Monogenic and Polygenic Contributions in Patients Hospitalized with Early-Onset Myocardial Infarction

Author: Khera, Amit V, Chaffin, Mark, Zekavat, Seyedeh M, Collins, Ryan L, Roselli, Carolina, Natarajan, Pradeep, Lichtman, Judith H, D'Onofrio, Gail, Mattera, Jennifer, Dreyer, Rachel, Spertus, John A, Taylor, Kent D, Psaty, Bruce M, Rich, Stephen S, Post, Wendy, Gupta, Namrata, Gabriel, Stacey, Lander, Eric, Ida Chen, Yii-Der, Talkowski, Michael E, Rotter, Jerome I, Krumholz, Harlan M, and Kathiresan, Sekar
Subjects: Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Health Sciences, Clinical Sciences, Sports Science and Exercise, Genetics, Clinical Research, Atherosclerosis, Human Genome, Prevention, Digestive Diseases, Heart Disease, Heart Disease - Coronary Heart Disease, Cardiovascular, 2.1 Biological and endogenous factors, Aetiology, Aged, Cholesterol, LDL, Female, Genetic Predisposition to Disease, Genome, Human, Humans, Hyperlipoproteinemia Type II, Male, Middle Aged, Multifactorial Inheritance, Myocardial Infarction, Whole Genome Sequencing, genetics, humans, hypercholesterolemia, myocardial infarction, risk, Cardiorespiratory Medicine and Haematology, Public Health and Health Services, Cardiovascular System & Hematology, Cardiovascular medicine and haematology, Clinical sciences, Sports science and exercise
Abstract: BackgroundThe relative prevalence and clinical importance of monogenic mutations related to familial hypercholesterolemia and of high polygenic score (cumulative impact of many common variants) pathways for early-onset myocardial infarction remain uncertain. Whole-genome sequencing enables simultaneous ascertainment of both monogenic mutations and polygenic score for each individual.MethodsWe performed deep-coverage whole-genome sequencing of 2081 patients from 4 racial subgroups hospitalized in the United States with early-onset myocardial infarction (age ≤55 years) recruited with a 2:1 female-to-male enrollment design. We compared these genomes with those of 3761 population-based control subjects. We first identified individuals with a rare, monogenic mutation related to familial hypercholesterolemia. Second, we calculated a recently developed polygenic score of 6.6 million common DNA variants to quantify the cumulative susceptibility conferred by common variants. We defined high polygenic score as the top 5% of the control distribution because this cutoff has previously been shown to confer similar risk to that of familial hypercholesterolemia mutations.ResultsThe mean age of the 2081 patients presenting with early-onset myocardial infarction was 48 years, and 66% were female. A familial hypercholesterolemia mutation was present in 36 of these patients (1.7%) and was associated with a 3.8-fold (95% CI, 2.1-6.8; P3-fold increased odds of early-onset myocardial infarction. However, high polygenic score has a 10-fold higher prevalence among patients presents with early-onset myocardial infarction.Clinical trial registrationURL: https://www.clinicaltrials.gov . Unique identifier: NCT00597922.
Published: 2019

25. Analysis of rare genetic variation underlying cardiometabolic diseases and traits among 200,000 individuals in the UK Biobank

Author: Jurgens, Sean J., Choi, Seung Hoan, Morrill, Valerie N., Chaffin, Mark, Pirruccello, James P., Halford, Jennifer L., Weng, Lu-Chen, Nauffal, Victor, Roselli, Carolina, Hall, Amelia W., Oetjens, Matthew T., Lagerman, Braxton, vanMaanen, David P., Aragam, Krishna G., Lunetta, Kathryn L., Haggerty, Christopher M., Lubitz, Steven A., and Ellinor, Patrick T.
Published: 2022
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26. Deep learning enables genetic analysis of the human thoracic aorta

Author: Pirruccello, James P., Chaffin, Mark D., Chou, Elizabeth L., Fleming, Stephen J., Lin, Honghuang, Nekoui, Mahan, Khurshid, Shaan, Friedman, Samuel F., Bick, Alexander G., Arduini, Alessandro, Weng, Lu-Chen, Choi, Seung Hoan, Akkad, Amer-Denis, Batra, Puneet, Tucker, Nathan R., Hall, Amelia W., Roselli, Carolina, Benjamin, Emelia J., Vellarikkal, Shamsudheen K., Gupta, Rajat M., Stegmann, Christian M., Juric, Dejan, Stone, James R., Vasan, Ramachandran S., Ho, Jennifer E., Hoffmann, Udo, Lubitz, Steven A., Philippakis, Anthony A., Lindsay, Mark E., and Ellinor, Patrick T.
Published: 2022
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27. Integrative analysis of the plasma proteome and polygenic risk of cardiometabolic diseases

Author: Ritchie, Scott C., Lambert, Samuel A., Arnold, Matthew, Teo, Shu Mei, Lim, Sol, Scepanovic, Petar, Marten, Jonathan, Zahid, Sohail, Chaffin, Mark, Liu, Yingying, Abraham, Gad, Ouwehand, Willem H., Roberts, David J., Watkins, Nicholas A., Drew, Brian G., Calkin, Anna C., Di Angelantonio, Emanuele, Soranzo, Nicole, Burgess, Stephen, Chapman, Michael, Kathiresan, Sekar, Khera, Amit V., Danesh, John, Butterworth, Adam S., and Inouye, Michael
Published: 2021
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28. Multi-ethnic genome-wide association study for atrial fibrillation

Author: Roselli, Carolina, Chaffin, Mark D, Weng, Lu-Chen, Aeschbacher, Stefanie, Ahlberg, Gustav, Albert, Christine M, Almgren, Peter, Alonso, Alvaro, Anderson, Christopher D, Aragam, Krishna G, Arking, Dan E, Barnard, John, Bartz, Traci M, Benjamin, Emelia J, Bihlmeyer, Nathan A, Bis, Joshua C, Bloom, Heather L, Boerwinkle, Eric, Bottinger, Erwin B, Brody, Jennifer A, Calkins, Hugh, Campbell, Archie, Cappola, Thomas P, Carlquist, John, Chasman, Daniel I, Chen, Lin Y, Chen, Yii-Der Ida, Choi, Eue-Keun, Choi, Seung Hoan, Christophersen, Ingrid E, Chung, Mina K, Cole, John W, Conen, David, Cook, James, Crijns, Harry J, Cutler, Michael J, Damrauer, Scott M, Daniels, Brian R, Darbar, Dawood, Delgado, Graciela, Denny, Joshua C, Dichgans, Martin, Dörr, Marcus, Dudink, Elton A, Dudley, Samuel C, Esa, Nada, Esko, Tonu, Eskola, Markku, Fatkin, Diane, Felix, Stephan B, Ford, Ian, Franco, Oscar H, Geelhoed, Bastiaan, Grewal, Raji P, Gudnason, Vilmundur, Guo, Xiuqing, Gupta, Namrata, Gustafsson, Stefan, Gutmann, Rebecca, Hamsten, Anders, Harris, Tamara B, Hayward, Caroline, Heckbert, Susan R, Hernesniemi, Jussi, Hocking, Lynne J, Hofman, Albert, Horimoto, Andrea RVR, Huang, Jie, Huang, Paul L, Huffman, Jennifer, Ingelsson, Erik, Ipek, Esra Gucuk, Ito, Kaoru, Jimenez-Conde, Jordi, Johnson, Renee, Jukema, J Wouter, Kääb, Stefan, Kähönen, Mika, Kamatani, Yoichiro, Kane, John P, Kastrati, Adnan, Kathiresan, Sekar, Katschnig-Winter, Petra, Kavousi, Maryam, Kessler, Thorsten, Kietselaer, Bas L, Kirchhof, Paulus, Kleber, Marcus E, Knight, Stacey, Krieger, Jose E, Kubo, Michiaki, Launer, Lenore J, Laurikka, Jari, Lehtimäki, Terho, Leineweber, Kirsten, Lemaitre, Rozenn N, Li, Man, Lim, Hong Euy, Lin, Henry J, and Lin, Honghuang
Subjects: Biological Sciences, Genetics, Heart Disease, Cardiovascular, Human Genome, Biotechnology, 2.1 Biological and endogenous factors, Aetiology, Atrial Fibrillation, Case-Control Studies, Ethnicity, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Quantitative Trait Loci, Transcriptome, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract: Atrial fibrillation (AF) affects more than 33 million individuals worldwide1 and has a complex heritability2. We conducted the largest meta-analysis of genome-wide association studies (GWAS) for AF to date, consisting of more than half a million individuals, including 65,446 with AF. In total, we identified 97 loci significantly associated with AF, including 67 that were novel in a combined-ancestry analysis, and 3 that were novel in a European-specific analysis. We sought to identify AF-associated genes at the GWAS loci by performing RNA-sequencing and expression quantitative trait locus analyses in 101 left atrial samples, the most relevant tissue for AF. We also performed transcriptome-wide analyses that identified 57 AF-associated genes, 42 of which overlap with GWAS loci. The identified loci implicate genes enriched within cardiac developmental, electrophysiological, contractile and structural pathways. These results extend our understanding of the biological pathways underlying AF and may facilitate the development of therapeutics for AF.
Published: 2018

29. Deep-coverage whole genome sequences and blood lipids among 16,324 individuals.

Author: Natarajan, Pradeep, Peloso, Gina M, Zekavat, Seyedeh Maryam, Montasser, May, Ganna, Andrea, Chaffin, Mark, Khera, Amit V, Zhou, Wei, Bloom, Jonathan M, Engreitz, Jesse M, Ernst, Jason, O'Connell, Jeffrey R, Ruotsalainen, Sanni E, Alver, Maris, Manichaikul, Ani, Johnson, W Craig, Perry, James A, Poterba, Timothy, Seed, Cotton, Surakka, Ida L, Esko, Tonu, Ripatti, Samuli, Salomaa, Veikko, Correa, Adolfo, Vasan, Ramachandran S, Kellis, Manolis, Neale, Benjamin M, Lander, Eric S, Abecasis, Goncalo, Mitchell, Braxton, Rich, Stephen S, Wilson, James G, Cupples, L Adrienne, Rotter, Jerome I, Willer, Cristen J, Kathiresan, Sekar, and NHLBI TOPMed Lipids Working Group
Subjects: NHLBI TOPMed Lipids Working Group, Humans, Lipids, Base Sequence, Gene Frequency, Mutation, Genome, Human, Models, Genetic, Cholesterol, LDL, Genome-Wide Association Study, High-Throughput Nucleotide Sequencing, Human Genome, Genetics, Digestive Diseases, Cardiovascular, Atherosclerosis, Biotechnology, 2.1 Biological and endogenous factors
Abstract: Large-scale deep-coverage whole-genome sequencing (WGS) is now feasible and offers potential advantages for locus discovery. We perform WGS in 16,324 participants from four ancestries at mean depth >29X and analyze genotypes with four quantitative traits-plasma total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol, and triglycerides. Common variant association yields known loci except for few variants previously poorly imputed. Rare coding variant association yields known Mendelian dyslipidemia genes but rare non-coding variant association detects no signals. A high 2M-SNP LDL-C polygenic score (top 5th percentile) confers similar effect size to a monogenic mutation (~30 mg/dl higher for each); however, among those with severe hypercholesterolemia, 23% have a high polygenic score and only 2% carry a monogenic mutation. At these sample sizes and for these phenotypes, the incremental value of WGS for discovery is limited but WGS permits simultaneous assessment of monogenic and polygenic models to severe hypercholesterolemia.
Published: 2018

30. Publisher Correction: Deep coverage whole genome sequences and plasma lipoprotein(a) in individuals of European and African ancestries.

Author: Zekavat, Seyedeh M, Ruotsalainen, Sanni, Handsaker, Robert E, Alver, Maris, Bloom, Jonathan, Poterba, Timothy, Seed, Cotton, Ernst, Jason, Chaffin, Mark, Engreitz, Jesse, Peloso, Gina M, Manichaikul, Ani, Yang, Chaojie, Ryan, Kathleen A, Fu, Mao, Johnson, W Craig, Tsai, Michael, Budoff, Matthew, Vasan, Ramachandran S, Cupples, L Adrienne, Rotter, Jerome I, Rich, Stephen S, Post, Wendy, Mitchell, Braxton D, Correa, Adolfo, Metspalu, Andres, Wilson, James G, Salomaa, Veikko, Kellis, Manolis, Daly, Mark J, Neale, Benjamin M, McCarroll, Steven, Surakka, Ida, Esko, Tonu, Ganna, Andrea, Ripatti, Samuli, Kathiresan, Sekar, Natarajan, Pradeep, and NHLBI TOPMed Lipids Working Group
Subjects: NHLBI TOPMed Lipids Working Group
Abstract: The original version of this article contained an error in the name of the author Ramachandran S. Vasan, which was incorrectly given as Vasan S. Ramachandran. This has now been corrected in both the PDF and HTML versions of the article.
Published: 2018

31. Deep coverage whole genome sequences and plasma lipoprotein(a) in individuals of European and African ancestries.

Author: Zekavat, Seyedeh M, Ruotsalainen, Sanni, Handsaker, Robert E, Alver, Maris, Bloom, Jonathan, Poterba, Timothy, Seed, Cotton, Ernst, Jason, Chaffin, Mark, Engreitz, Jesse, Peloso, Gina M, Manichaikul, Ani, Yang, Chaojie, Ryan, Kathleen A, Fu, Mao, Johnson, W Craig, Tsai, Michael, Budoff, Matthew, Vasan, Ramachandran S, Cupples, L Adrienne, Rotter, Jerome I, Rich, Stephen S, Post, Wendy, Mitchell, Braxton D, Correa, Adolfo, Metspalu, Andres, Wilson, James G, Salomaa, Veikko, Kellis, Manolis, Daly, Mark J, Neale, Benjamin M, McCarroll, Steven, Surakka, Ida, Esko, Tonu, Ganna, Andrea, Ripatti, Samuli, Kathiresan, Sekar, Natarajan, Pradeep, and NHLBI TOPMed Lipids Working Group
Subjects: NHLBI TOPMed Lipids Working Group, Humans, Cardiovascular Diseases, Lipoprotein(a), Adaptor Proteins, Vesicular Transport, Risk Factors, Gene Expression, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Genome, Human, African Continental Ancestry Group, European Continental Ancestry Group, Cholesterol, LDL, Genome-Wide Association Study, DNA Copy Number Variations, Whole Genome Sequencing, Atherosclerosis, Genetics, Cardiovascular, Prevention, Human Genome, Heart Disease, 2.1 Biological and endogenous factors
Abstract: Lipoprotein(a), Lp(a), is a modified low-density lipoprotein particle that contains apolipoprotein(a), encoded by LPA, and is a highly heritable, causal risk factor for cardiovascular diseases that varies in concentrations across ancestries. Here, we use deep-coverage whole genome sequencing in 8392 individuals of European and African ancestry to discover and interpret both single-nucleotide variants and copy number (CN) variation associated with Lp(a). We observe that genetic determinants between Europeans and Africans have several unique determinants. The common variant rs12740374 associated with Lp(a) cholesterol is an eQTL for SORT1 and independent of LDL cholesterol. Observed associations of aggregates of rare non-coding variants are largely explained by LPA structural variation, namely the LPA kringle IV 2 (KIV2)-CN. Finally, we find that LPA risk genotypes confer greater relative risk for incident atherosclerotic cardiovascular diseases compared to directly measured Lp(a), and are significantly associated with measures of subclinical atherosclerosis in African Americans.
Published: 2018

32. Analysis of predicted loss-of-function variants in UK Biobank identifies variants protective for disease

Author: Emdin, Connor A, Khera, Amit V, Chaffin, Mark, Klarin, Derek, Natarajan, Pradeep, Aragam, Krishna, Haas, Mary, Bick, Alexander, Zekavat, Seyedeh M, Nomura, Akihiro, Ardissino, Diego, Wilson, James G, Schunkert, Heribert, McPherson, Ruth, Watkins, Hugh, Elosua, Roberto, Bown, Matthew J, Samani, Nilesh J, Baber, Usman, Erdmann, Jeanette, Gupta, Namrata, Danesh, John, Chasman, Daniel, Ridker, Paul, Denny, Joshua, Bastarache, Lisa, Lichtman, Judith H, D’Onofrio, Gail, Mattera, Jennifer, Spertus, John A, Sheu, Wayne H-H, Taylor, Kent D, Psaty, Bruce M, Rich, Stephen S, Post, Wendy, Rotter, Jerome I, Chen, Yii-Der Ida, Krumholz, Harlan, Saleheen, Danish, Gabriel, Stacey, and Kathiresan, Sekar
Subjects: Biological Sciences, Biomedical and Clinical Sciences, Genetics, Epidemiology, Health Sciences, Heart Disease - Coronary Heart Disease, Heart Disease, Biotechnology, Obesity, Cardiovascular, Human Genome, Atherosclerosis, Aetiology, 2.1 Biological and endogenous factors, Metabolic and endocrine, Good Health and Well Being, Databases, Genetic, Diabetes Mellitus, Type 2, Disease, Gene Frequency, Genetic Testing, Genetic Variation, Humans, Phenotype, Proteins, Respiratory Hypersensitivity, United Kingdom
Abstract: Less than 3% of protein-coding genetic variants are predicted to result in loss of protein function through the introduction of a stop codon, frameshift, or the disruption of an essential splice site; however, such predicted loss-of-function (pLOF) variants provide insight into effector transcript and direction of biological effect. In >400,000 UK Biobank participants, we conduct association analyses of 3759 pLOF variants with six metabolic traits, six cardiometabolic diseases, and twelve additional diseases. We identified 18 new low-frequency or rare (allele frequency
Published: 2018

33. Transcriptional profile of the rat cardiovascular system at single cell resolution

Author: Arduini, Alessandro, primary, Fleming, Stephen J., additional, Xiao, Ling, additional, Hall, Amelia W., additional, Akkad, Amer-Denis, additional, Chaffin, Mark, additional, Bendinelli, Kayla J., additional, Tucker, Nathan R., additional, Papangeli, Irinna, additional, Mantineo, Helene, additional, Babadi, Mehrtash, additional, Stegmann, Christian M., additional, García-Cardeña, Guillermo, additional, Lindsay, Mark E., additional, Klattenhoff, Carla, additional, and Ellinor, Patrick T., additional
Published: 2023
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34. Whole Genome Sequencing Identifies CRISPLD2 as a Lung Function Gene in Children With Asthma

Author: Abe, Namiko, Abecasis, Goncalo, Albert, Christine, Palmer Allred, Nicholette (Nichole), Almasy, Laura, Alonso, Alvaro, Ament, Seth, Anderson, Peter, Anugu, Pramod, Applebaum-Bowden, Deborah, Arking, Dan, Arnett, Donna K., Ashley-Koch, Allison, Aslibekyan, Stella, Assimes, Tim, Auer, Paul, Avramopoulos, Dimitrios, Barnard, John, Barnes, Kathleen, Barr, R. Graham, 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, Russell, Brody, Jennifer, Broeckel, Ulrich, Broome, Jai, Bunting, Karen, Burchard, Esteban, Cardwell, Jonathan, Carty, Cara, Casaburi, Richard, Casella, James, Chaffin, Mark, Chang, Christy, Chasman, Daniel, Chavan, Sameer, Chen, Bo-Juen, Chen, Wei-Min, Chen, Yii-Der Ida, Cho, Michael H., 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, Stephanie M., 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, Gu, C. Charles, 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, Holly, Kramer, Hong, Elliott, Hoth, Karin, (Agnes) Hsiung, Chao, Huston, Haley, Hwu, Chii Min, Irvin, Marguerite Ryan, Jackson, Rebecca, Jain, Deepti, Jaquish, Cashell, Jhun, Min A., Johnsen, Jill, Johnson, Andrew, Johnson, Craig, Johnston, Rich, Jones, Kimberly, Kachroo, Priyadarshini, 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, Krauter, Stephanie, Lange, Christoph, Lange, Ethan, Lange, Leslie, Laurie, Cathy, Laurie, Cecelia, LeBoff, Meryl, Lee, Seunggeun Shawn, Lee, Wen-Jane, LeFaive, Jonathon, Levine, David, Levy, Dan, Lewis, Joshua, Li, Yun, Lin, Honghuang, Lin, Keng Han, Liu, Simin, Liu, Yongmei, Loos, Ruth, Lubitz, Steven, 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 A., Mikulla, Julie, Min, Nancy, Minear, Mollie, Minster, Ryan L., Mitchell, Braxton, Montasser, May E., Musani, Solomon, Mwasongwe, Stanford, Mychaleckyj, Josyf C., Nadkarni, Girish, Naik, Rakhi, Natarajan, Pradeep, Nekhai, Sergei, Nickerson, Deborah, North, Kari, O'Connell, Jeff, O'Connor, Tim, Ochs-Balcom, Heather, Pankow, James, Papanicolaou, George, Parker, Margaret, Parsa, Afshin, Penchev, Sara, Peralta, Juan Manuel, Perez, Marco, Perry, James, Peters, Ulrike, Peyser, Patricia, Phillips, Lawrence S., 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, Seidman, Jonathan, Sheehan, Vivien, Shetty, Amol, Shetty, Aniket, Sheu, Wayne Hui-Heng, Shoemaker, M. Benjamin, 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, Su-Lasky, Jessica, 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, Wang, Fei Fei, Watson, Karol, Weeks, Daniel E., Weir, Bruce, Weiss, Scott, Weng, Lu-Chen, Willer, Cristen, Williams, Kayleen, Williams, L. Keoki, Wilson, Carla, Wilson, James, Wong, Quenna, Xu, Huichun, Yanek, Lisa, Yang, Ivana, Yang, Rongze, Zaghloul, Norann, Zekavat, Maryam, Zhang, Yingze, Zhao, Snow Xueyan, Zhao, Wei, Zheng, Xiuwen, Zhi, Degui, Zhou, Xiang, Zody, Michael, Zoellner, Sebastian, Hecker, Julian, Chawes, Bo L., Ahluwalia, Tarunveer S., Kelly, Rachel S., Chu, Su H., Virkud, Yamini V., Huang, Mengna, Barnes, Kathleen C., Burchard, Esteban G., Eng, Celeste, Hu, Donglei, Celedón, Juan C., Levin, Albert M., Gui, Hongsheng, Forno, Erick, Mak, Angel C.Y., Avila, Lydiana, Soto-Quiros, Manuel E., Cloutier, Michelle M., Acosta-Pérez, Edna, Canino, Glorisa, Bønnelykke, Klaus, Bisgaard, Hans, Raby, Benjamin A., Weiss, Scott T., and Lasky-Su, Jessica A.
Published: 2019
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35. From a “Perfect Storm” to “Smooth Sailing”

Author: Willging, Cathleen E, Green, Amy E, Gunderson, Lara, Chaffin, Mark, and Aarons, Gregory A
Subjects: Social Work, Criminology, Human Society, Clinical Research, Pediatric Research Initiative, Prevention, Health Services, Generic health relevance, Good Health and Well Being, Advisory Committees, Child, Child Abuse, Child Welfare, Cooperative Behavior, Evidence-Based Practice, Health Plan Implementation, Health Planning, Humans, Interinstitutional Relations, Policy Making, United States, child maltreatment, child welfare services/child protection, dissemination/implementation, evidence-based practice, home visiting, qualitative research, Psychology, Family Studies, Social work, Applied and developmental psychology
Abstract: Policymakers shape implementation and sustainment of evidence-based practices (EBPs), whether they are developing or responding to legislation and policies or negotiating public sector resource constraints. As part of a large mixed-method study, we conducted qualitative interviews with 24 policymakers involved in delivery of the same EBP in two U.S. states. We analyzed transcripts via open and focused coding techniques to identify the commonality, diversity, and complexity of implementation challenges; approaches to overcoming those challenges; and the importance of system-level contextual factors in ensuring successful implementation. Key findings centered on building support and leadership for EBPs; funding and contractual strategies; partnering with stakeholders; tackling challenges via proactive planning and problem solving; and the political, legal, and systemic pressures affecting EBP longevity. The policymaker perspectives offer guidance on nurturing system and organizational practice environments to achieve positive outcomes and for optimally addressing macro-level influences that bear upon the instantiation of EBPs in public sector child welfare systems.
Published: 2015

36. Mixed-method study of a conceptual model of evidence-based intervention sustainment across multiple public-sector service settings.

Author: Aarons, Gregory A, Green, Amy E, Willging, Cathleen E, Ehrhart, Mark G, Roesch, Scott C, Hecht, Debra B, and Chaffin, Mark J
Subjects: Humans, Retrospective Studies, Prospective Studies, Program Evaluation, Attitude of Health Personnel, Cooperative Behavior, Leadership, Interprofessional Relations, Behavior Therapy, Evidence-Based Medicine, Child Abuse, Private Sector, Public Sector, Organizational Policy, Health Policy, Child, Home Care Services, Organizational Culture, Delivery of Health Care, United States, Sustainment, Evidence-based intervention, Implementation, Organizational culture, Organizational climate, Policy, Public sector, Information and Computing Sciences, Medical and Health Sciences, Health Policy & Services
Abstract: BackgroundThis study examines sustainment of an EBI implemented in 11 United States service systems across two states, and delivered in 87 counties. The aims are to 1) determine the impact of state and county policies and contracting on EBI provision and sustainment; 2) investigate the role of public, private, and academic relationships and collaboration in long-term EBI sustainment; 3) assess organizational and provider factors that affect EBI reach/penetration, fidelity, and organizational sustainment climate; and 4) integrate findings through a collaborative process involving the investigative team, consultants, and system and community-based organization (CBO) stakeholders in order to further develop and refine a conceptual model of sustainment to guide future research and provide a resource for service systems to prepare for sustainment as the ultimate goal of the implementation process.MethodsA mixed-method prospective and retrospective design will be used. Semi-structured individual and group interviews will be used to collect information regarding influences on EBI sustainment including policies, attitudes, and practices; organizational factors and external policies affecting model implementation; involvement of or collaboration with other stakeholders; and outer- and inner-contextual supports that facilitate ongoing EBI sustainment. Document review (e.g., legislation, executive orders, regulations, monitoring data, annual reports, agendas and meeting minutes) will be used to examine the roles of state, county, and local policies in EBI sustainment. Quantitative measures will be collected via administrative data and web surveys to assess EBI reach/penetration, staff turnover, EBI model fidelity, organizational culture and climate, work attitudes, implementation leadership, sustainment climate, attitudes toward EBIs, program sustainment, and level of institutionalization. Hierarchical linear modeling will be used for quantitative analyses. Qualitative analyses will be tailored to each of the qualitative methods (e.g., document review, interviews). Qualitative and quantitative approaches will be integrated through an inclusive process that values stakeholder perspectives.DiscussionThe study of sustainment is critical to capitalizing on and benefiting from the time and fiscal investments in EBI implementation. Sustainment is also critical to realizing broad public health impact of EBI implementation. The present study takes a comprehensive mixed-method approach to understanding sustainment and refining a conceptual model of sustainment.
Published: 2014

37. Collaboration, Negotiation, and Coalescence for Interagency-Collaborative Teams to Scale-Up Evidence-Based Practice

Author: Aarons, Gregory A, Fettes, Danielle L, Hurlburt, Michael S, Palinkas, Lawrence A, Gunderson, Lara, Willging, Cathleen E, and Chaffin, Mark J
Subjects: Behavioral and Social Science, Clinical Research, Mental Health, Pediatric, Child, Child Abuse, Cooperative Behavior, Evidence-Based Practice, Focus Groups, Humans, Interinstitutional Relations, Negotiating, Qualitative Research, Psychology, Cognitive Sciences, Developmental & Child Psychology
Abstract: Implementation and scale-up of evidence-based practices (EBPs) is often portrayed as involving multiple stakeholders collaborating harmoniously in the service of a shared vision. In practice, however, collaboration is a more complex process that may involve shared and competing interests and agendas, and negotiation. The present study examined the scale-up of an EBP across an entire service system using the Interagency Collaborative Team approach. Participants were key stakeholders in a large-scale county-wide implementation of an EBP to reduce child neglect, SafeCare. Semistructured interviews and/or focus groups were conducted with 54 individuals representing diverse constituents in the service system, followed by an iterative approach to coding and analysis of transcripts. The study was conceptualized using the Exploration, Preparation, Implementation, and Sustainment framework. Although community stakeholders eventually coalesced around implementation of SafeCare, several challenges affected the implementation process. These challenges included differing organizational cultures, strategies, and approaches to collaboration; competing priorities across levels of leadership; power struggles; and role ambiguity. Each of the factors identified influenced how stakeholders approached the EBP implementation process. System-wide scale-up of EBPs involves multiple stakeholders operating in a nexus of differing agendas, priorities, leadership styles, and negotiation strategies. The term collaboration may oversimplify the multifaceted nature of the scale-up process. Implementation efforts should openly acknowledge and consider this nexus when individual stakeholders and organizations enter into EBP implementation through collaborative processes.
Published: 2014

38. Interagency Collaborative Team model for capacity building to scale-up evidence-based practice

Author: Hurlburt, Michael, Aarons, Gregory A, Fettes, Danielle, Willging, Cathleen, Gunderson, Lara, and Chaffin, Mark J
Subjects: Health Services, Pediatric, Clinical Research, Generic health relevance, Implementation, Sustainment, Teams, Process model, Evidence-based practice, Process Model, Applied Economics, Social Work
Abstract: BackgroundSystem-wide scale up of evidence-based practice (EBP) is a complex process. Yet, few strategic approaches exist to support EBP implementation and sustainment across a service system. Building on the Exploration, Preparation, Implementation, and Sustainment (EPIS) implementation framework, we developed and are testing the Interagency Collaborative Team (ICT) process model to implement an evidence-based child neglect intervention (i.e., SafeCare®) within a large children's service system. The ICT model emphasizes the role of local agency collaborations in creating structural supports for successful implementation.MethodsWe describe the ICT model and present preliminary qualitative results from use of the implementation model in one large scale EBP implementation. Qualitative interviews were conducted to assess challenges in building system, organization, and home visitor collaboration and capacity to implement the EBP. Data collection and analysis centered on EBP implementation issues, as well as the experiences of home visitors under the ICT model.ResultsSix notable issues relating to implementation process emerged from participant interviews, including: (a) initial commitment and collaboration among stakeholders, (b) leadership, (c) communication, (d) practice fit with local context, (e) ongoing negotiation and problem solving, and (f) early successes. These issues highlight strengths and areas for development in the ICT model.ConclusionsUse of the ICT model led to sustained and widespread use of SafeCare in one large county. Although some aspects of the implementation model may benefit from enhancement, qualitative findings suggest that the ICT process generates strong structural supports for implementation and creates conditions in which tensions between EBP structure and local contextual variations can be resolved in ways that support the expansion and maintenance of an EBP while preserving potential for public health benefit.
Published: 2014

39. Genomic and Metabolic Diversity of Marine Group I Thaumarchaeota in the Mesopelagic of Two Subtropical Gyres

Author: Swan, Brandon K, Chaffin, Mark D, Martinez-Garcia, Manuel, Morrison, Hilary G, Field, Erin K, Poulton, Nicole J, Masland, E Dashiell P, Harris, Christopher C, Sczyrba, Alexander, Chain, Patrick SG, Koren, Sergey, Woyke, Tanja, and Stepanauskas, Ramunas
Subjects: Microbiology, Oceanography, Biological Sciences, Earth Sciences, Biotechnology, Human Genome, Genetics, Life Below Water, Archaea, DNA, Archaeal, Phylogeny, General Science & Technology
Abstract: Marine Group I (MGI) Thaumarchaeota are one of the most abundant and cosmopolitan chemoautotrophs within the global dark ocean. To date, no representatives of this archaeal group retrieved from the dark ocean have been successfully cultured. We used single cell genomics to investigate the genomic and metabolic diversity of thaumarchaea within the mesopelagic of the subtropical North Pacific and South Atlantic Ocean. Phylogenetic and metagenomic recruitment analysis revealed that MGI single amplified genomes (SAGs) are genetically and biogeographically distinct from existing thaumarchaea cultures obtained from surface waters. Confirming prior studies, we found genes encoding proteins for aerobic ammonia oxidation and the hydrolysis of urea, which may be used for energy production, as well as genes involved in 3-hydroxypropionate/4-hydroxybutyrate and oxidative tricarboxylic acid pathways. A large proportion of protein sequences identified in MGI SAGs were absent in the marine cultures Cenarchaeum symbiosum and Nitrosopumilus maritimus, thus expanding the predicted protein space for this archaeal group. Identifiable genes located on genomic islands with low metagenome recruitment capacity were enriched in cellular defense functions, likely in response to viral infections or grazing. We show that MGI Thaumarchaeota in the dark ocean may have more flexibility in potential energy sources and adaptations to biotic interactions than the existing, surface-ocean cultures.
Published: 2014

40. Epigenome-wide DNA methylation association study of circulating IgE levels identifies novel targets for asthma

Author: Recto, Kathryn, primary, Kachroo, Priyadarshini, additional, Huan, Tianxiao, additional, Van Den Berg, David, additional, Lee, Gha Young, additional, Bui, Helena, additional, Lee, Dong Heon, additional, Gereige, Jessica, additional, Yao, Chen, additional, Hwang, Shih-Jen, additional, Joehanes, Roby, additional, Weiss, Scott T., additional, O’Connor, George T., additional, Levy, Daniel, additional, DeMeo, Dawn L., additional, Abe, Namiko, additional, Abecasis, Gonçalo, additional, Aguet, Francois, additional, Albert, Christine, additional, Almasy, Laura, additional, Alonso, Alvaro, additional, Ament, Seth, additional, Anderson, Peter, additional, Anugu, Pramod, additional, Applebaum-Bowden, Deborah, additional, Ardlie, Kristin, additional, Arking, Dan, additional, Arnett, Donna K., additional, Ashley-Koch, Allison, additional, Aslibekyan, Stella, additional, Assimes, Tim, additional, Auer, Paul, additional, Avramopoulos, Dimitrios, additional, Ayas, Najib, additional, Balasubramanian, Adithya, additional, Barnard, John, additional, Barnes, Kathleen, additional, Barr, R. Graham, additional, Barron-Casella, Emily, additional, Barwick, Lucas, additional, Beaty, Terri, additional, Beck, Gerald, additional, Becker, Diane, additional, Becker, Lewis, additional, Beer, Rebecca, additional, Beitelshees, Amber, additional, Benjamin, Emelia, additional, Benos, Takis, additional, Bezerra, Marcos, additional, Bielak, Larry, additional, Bis, Joshua, additional, Blackwell, Thomas, additional, Blangero, John, additional, Blue, Nathan, additional, Boerwinkle, Eric, additional, Bowden, Donald W., additional, Bowler, Russell, additional, Brody, Jennifer, additional, Broeckel, Ulrich, additional, Broome, Jai, additional, Brown, Deborah, additional, Bunting, Karen, additional, Burchard, Esteban, additional, Bustamante, Carlos, additional, Buth, Erin, additional, Cade, Brian, additional, Cardwell, Jonathan, additional, Carey, Vincent, additional, Carrier, Julie, additional, Carson, April P., additional, Carty, Cara, additional, Casaburi, Richard, additional, Casas Romero, Juan P., additional, Casella, James, additional, Castaldi, Peter, additional, Chaffin, Mark, additional, Chang, Christy, additional, Chang, Yi-Cheng, additional, Chasman, Daniel, additional, Chavan, Sameer, additional, Chen, Bo-Juen, additional, Chen, Wei-Min, additional, Ida Chen, Yii-Der, additional, Cho, Michael, additional, Choi, Seung Hoan, additional, Chuang, Lee-Ming, additional, Chung, Mina, additional, Chung, Ren-Hua, additional, Clish, Clary, additional, Comhair, Suzy, additional, Conomos, Matthew, additional, Cornell, Elaine, additional, Correa, Adolfo, additional, Crandall, Carolyn, additional, Crapo, James, additional, Cupples, L. Adrienne, additional, Curran, Joanne, additional, Curtis, Jeffrey, additional, Custer, Brian, additional, Damcott, Coleen, additional, Darbar, Dawood, additional, David, Sean, additional, Davis, Colleen, additional, Daya, Michelle, additional, de Andrade, Mariza, additional, de las Fuentes, Lisa, additional, de Vries, Paul, additional, DeBaun, Michael, additional, Deka, Ranjan, additional, DeMeo, Dawn, additional, Devine, Scott, additional, Dinh, Huyen, additional, Doddapaneni, Harsha, additional, Duan, Qing, additional, Dugan-Perez, Shannon, additional, Duggirala, Ravi, additional, Durda, Jon Peter, additional, Dutcher, Susan K., additional, Eaton, Charles, additional, Ekunwe, Lynette, additional, El Boueiz, Adel, additional, Ellinor, Patrick, additional, Emery, Leslie, additional, Erzurum, Serpil, additional, Farber, Charles, additional, Farek, Jesse, additional, Fingerlin, Tasha, additional, Flickinger, Matthew, additional, Fornage, Myriam, additional, Franceschini, Nora, additional, Frazar, Chris, additional, Fu, Mao, additional, Fullerton, Stephanie M., additional, Fulton, Lucinda, additional, Gabriel, Stacey, additional, Gan, Weiniu, additional, Gao, Shanshan, additional, Gao, Yan, additional, Gass, Margery, additional, Geiger, Heather, additional, Gelb, Bruce, additional, Geraci, Mark, additional, Germer, Soren, additional, Gerszten, Robert, additional, Ghosh, Auyon, additional, Gibbs, Richard, additional, Gignoux, Chris, additional, Gladwin, Mark, additional, Glahn, David, additional, Gogarten, Stephanie, additional, Gong, Da-Wei, additional, Goring, Harald, additional, Graw, Sharon, additional, Gray, Kathryn J., additional, Grine, Daniel, additional, Gross, Colin, additional, Gu, C. Charles, additional, Guan, Yue, additional, Guo, Xiuqing, additional, Gupta, Namrata, additional, Haessler, Jeff, additional, Hall, Michael, additional, Han, Yi, additional, Hanly, Patrick, additional, Harris, Daniel, additional, Hawley, Nicola L., additional, He, Jiang, additional, Heavner, Ben, additional, Heckbert, Susan, additional, Hernandez, Ryan, additional, Herrington, David, additional, Hersh, Craig, additional, Hidalgo, Bertha, additional, Hixson, James, additional, Hobbs, Brian, additional, Hokanson, John, additional, Hong, Elliott, additional, Hoth, Karin, additional, Hsiung, Chao (Agnes), additional, Hu, Jianhong, additional, Hung, Yi-Jen, additional, Huston, Haley, additional, Hwu, Chii Min, additional, Irvin, Marguerite Ryan, additional, Jackson, Rebecca, additional, Jain, Deepti, additional, Jaquish, Cashell, additional, Johnsen, Jill, additional, Johnson, Andrew, additional, Johnson, Craig, additional, Johnston, Rich, additional, Jones, Kimberly, additional, Kang, Hyun Min, additional, Kaplan, Robert, additional, Kardia, Sharon, additional, Kelly, Shannon, additional, Kenny, Eimear, additional, Kessler, Michael, additional, Khan, Alyna, additional, Khan, Ziad, additional, Kim, Wonji, additional, Kimoff, John, additional, Kinney, Greg, additional, Konkle, Barbara, additional, Kooperberg, Charles, additional, Kramer, Holly, additional, Lange, Christoph, additional, Lange, Ethan, additional, Lange, Leslie, additional, Laurie, Cathy, additional, Laurie, Cecelia, additional, LeBoff, Meryl, additional, Lee, Jiwon, additional, Lee, Sandra, additional, Lee, Wen-Jane, additional, LeFaive, Jonathon, additional, Levine, David, additional, Lewis, Joshua, additional, Li, Xiaohui, additional, Li, Yun, additional, Lin, Henry, additional, Lin, Honghuang, additional, Lin, Xihong, additional, Liu, Simin, additional, Liu, Yongmei, additional, Liu, Yu, additional, Loos, Ruth J.F., additional, Lubitz, Steven, additional, Lunetta, Kathryn, additional, Luo, James, additional, Magalang, Ulysses, additional, Mahaney, Michael, additional, Make, Barry, additional, Manichaikul, Ani, additional, Manning, Alisa, additional, Manson, JoAnn, additional, Martin, Lisa, additional, Marton, Melissa, additional, Mathai, Susan, additional, Mathias, Rasika, additional, May, Susanne, additional, McArdle, Patrick, additional, McDonald, Merry-Lynn, additional, McFarland, Sean, additional, McGarvey, Stephen, additional, McGoldrick, Daniel, additional, McHugh, Caitlin, additional, McNeil, Becky, additional, Mei, Hao, additional, Meigs, James, additional, Menon, Vipin, additional, Mestroni, Luisa, additional, Metcalf, Ginger, additional, Meyers, Deborah A., additional, Mignot, Emmanuel, additional, Mikulla, Julie, additional, Min, Nancy, additional, Minear, Mollie, additional, Minster, Ryan L., additional, Mitchell, Braxton D., additional, Moll, Matt, additional, Momin, Zeineen, additional, Montasser, May E., additional, Montgomery, Courtney, additional, Muzny, Donna, additional, Mychaleckyj, Josyf C., additional, Nadkarni, Girish, additional, Naik, Rakhi, additional, Naseri, Take, additional, Natarajan, Pradeep, additional, Nekhai, Sergei, additional, Nelson, Sarah C., additional, Neltner, Bonnie, additional, Nessner, Caitlin, additional, Nickerson, Deborah, additional, Nkechinyere, Osuji, additional, North, Kari, additional, O'Connell, Jeff, additional, O'Connor, Tim, additional, Ochs-Balcom, Heather, additional, Okwuonu, Geoffrey, additional, Pack, Allan, additional, Paik, David T., additional, Palmer, Nicholette, additional, Pankow, James, additional, Papanicolaou, George, additional, Parker, Cora, additional, Peloso, Gina, additional, Peralta, Juan Manuel, additional, Perez, Marco, additional, Perry, James, additional, Peters, Ulrike, additional, Peyser, Patricia, additional, Phillips, Lawrence S., additional, Pleiness, Jacob, additional, Pollin, Toni, additional, Post, Wendy, additional, Powers Becker, Julia, additional, Preethi Boorgula, Meher, additional, Preuss, Michael, additional, Psaty, Bruce, additional, Qasba, Pankaj, additional, Qiao, Dandi, additional, Qin, Zhaohui, additional, Rafaels, Nicholas, additional, Raffield, Laura, additional, Rajendran, Mahitha, additional, Ramachandran, Vasan S., additional, Rao, D.C., additional, Rasmussen-Torvik, Laura, additional, Ratan, Aakrosh, additional, Redline, Susan, additional, Reed, Robert, additional, Reeves, Catherine, additional, Regan, Elizabeth, additional, Reiner, Alex, additional, Reupena, Muagututi‘a Sefuiva, additional, Rice, Ken, additional, Rich, Stephen, additional, Robillard, Rebecca, additional, Robine, Nicolas, additional, Roden, Dan, additional, Roselli, Carolina, additional, Rotter, Jerome, additional, Ruczinski, Ingo, additional, Runnels, Alexi, additional, Russell, Pamela, additional, Ruuska, Sarah, additional, Ryan, Kathleen, additional, Sabino, Ester Cerdeira, additional, Saleheen, Danish, additional, Salimi, Shabnam, additional, Salvi, Sejal, additional, Salzberg, Steven, additional, Sandow, Kevin, additional, Sankaran, Vijay G., additional, Santibanez, Jireh, additional, Schwander, Karen, additional, Schwartz, David, additional, Sciurba, Frank, additional, Seidman, Christine, additional, Seidman, Jonathan, additional, Sériès, Frédéric, additional, Sheehan, Vivien, additional, Sherman, Stephanie L., additional, Shetty, Amol, additional, Shetty, Aniket, additional, Sheu, Wayne Hui-Heng, additional, Shoemaker, M. Benjamin, additional, Silver, Brian, additional, Silverman, Edwin, additional, Skomro, Robert, additional, Smith, Albert Vernon, additional, Smith, Jennifer, additional, Smith, Josh, additional, Smith, Nicholas, additional, Smith, Tanja, additional, Smoller, Sylvia, additional, Snively, Beverly, additional, Snyder, Michael, additional, Sofer, Tamar, additional, Sotoodehnia, Nona, additional, Stilp, Adrienne M., additional, Storm, Garrett, additional, Streeten, Elizabeth, additional, Su, Jessica Lasky, additional, Sung, Yun Ju, additional, Sylvia, Jody, additional, Szpiro, Adam, additional, Taliun, Daniel, additional, Tang, Hua, additional, Taub, Margaret, additional, Taylor, Kent, additional, Taylor, Matthew, additional, Taylor, Simeon, additional, Telen, Marilyn, additional, Thornton, Timothy A., additional, Threlkeld, Machiko, additional, Tinker, Lesley, additional, Tirschwell, David, additional, Tishkoff, Sarah, additional, Tiwari, Hemant, additional, Tong, Catherine, additional, Tracy, Russell, additional, Tsai, Michael, additional, Vaidya, Dhananjay, additional, VandeHaar, Peter, additional, Vrieze, Scott, additional, Walker, Tarik, additional, Wallace, Robert, additional, Walts, Avram, additional, Wang, Fei Fei, additional, Wang, Heming, additional, Wang, Jiongming, additional, Watson, Karol, additional, Watt, Jennifer, additional, Weeks, Daniel E., additional, Weinstock, Joshua, additional, Weir, Bruce, additional, Weng, Lu-Chen, additional, Wessel, Jennifer, additional, Willer, Cristen, additional, Williams, Kayleen, additional, Williams, L. Keoki, additional, Williams, Scott, additional, Wilson, Carla, additional, Wilson, James, additional, Winterkorn, Lara, additional, Wong, Quenna, additional, Wu, Baojun, additional, Wu, Joseph, additional, Xu, Huichun, additional, Yanek, Lisa, additional, Yang, Ivana, additional, Yu, Ketian, additional, Zekavat, Seyedeh Maryam, additional, Zhang, Yingze, additional, Zhao, Snow Xueyan, additional, Zhao, Wei, additional, Zhu, Xiaofeng, additional, Ziv, Elad, additional, Zody, Michael, additional, and Zoellner, Sebastian, additional
Published: 2023
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41. Parent-Child Interaction Therapy in Child Welfare

Author: Wilsie, Carisa, Campbell, Christopher, Chaffin, Mark, Funderburk, Beverly, Noll, Jennie, Editor-in-chief, and Teti, Douglas M., editor
Published: 2017
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42. Genome-wide association study of peripheral artery disease in the Million Veteran Program

Author: Klarin, Derek, Lynch, Julie, Aragam, Krishna, Chaffin, Mark, Assimes, Themistocles L., Huang, Jie, and Lee, Kyung Min
Subjects: Nucleotide sequencing -- Usage, Peripheral vascular diseases -- Risk factors -- Genetic aspects -- Care and treatment, DNA sequencing -- Usage, Medical records -- Technology application -- Usage, Technology application, Biological sciences, Health
Abstract: Peripheral artery disease (PAD) is a leading cause of cardiovascular morbidity and mortality; however, the extent to which genetic factors increase risk for PAD is largely unknown. Using electronic health record data, we performed a genome-wide association study in the Million Veteran Program testing ~32 million DNA sequence variants with PAD (31,307 cases and 211,753 controls) across veterans of European, African and Hispanic ancestry. The results were replicated in an independent sample of 5,117 PAD cases and 389,291 controls from the UK Biobank. We identified 19 PAD loci, 18 of which have not been previously reported. Eleven of the 19 loci were associated with disease in three vascular beds (coronary, cerebral, peripheral), including LDLR, LPL and LPA, suggesting that therapeutic modulation of low-density lipoprotein cholesterol, the lipoprotein lipase pathway or circulating lipoprotein(a) may be efficacious for multiple atherosclerotic disease phenotypes. Conversely, four of the variants appeared to be specific for PAD, including F5 p.R506Q, highlighting the pathogenic role of thrombosis in the peripheral vascular bed and providing genetic support for Factor Xa inhibition as a therapeutic strategy for PAD. Our results highlight mechanistic similarities and differences among coronary, cerebral and peripheral atherosclerosis and provide therapeutic insights. A genome-wide association study using electronic health record data in the Million Veteran Program uncovers new genetic loci associated specifically with peripheral artery disease, as compared to stroke or coronary artery disease., Author(s): Derek Klarin [sup.1] [sup.2] [sup.3] [sup.4] , Julie Lynch [sup.5] [sup.6] [sup.7] , Krishna Aragam [sup.2] [sup.3] , Mark Chaffin [sup.3] , Themistocles L. Assimes [sup.8] [sup.9] , Jie [...]
Published: 2019
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43. Implementation of an efficacious intervention for high risk women in Mexico: protocol for a multi-site randomized trial with a parallel study of organizational factors

Author: Patterson, Thomas L, Semple, Shirley J, Chavarin, Claudia V, Mendoza, Doroteo V, Santos, Lorena E, Chaffin, Mark, Palinkas, Lawrence A, Strathdee, Steffanie A, and Aarons, Gregory A
Abstract: AbstractBackgroundStudies of implementation of efficacious human immunodeficiency virus (HIV) prevention interventions are rare, especially in resource-poor settings, but important, because they have the potential to increase the impact of interventions by improving uptake and sustainability. Few studies have focused on provider and organizational factors that may influence uptake and fidelity to core intervention components. Using a hybrid design, we will study the implementation of an efficacious intervention to reduce sexually transmitted infections (STIs) among female sex workers (FSWs) in 12 cities across Mexico. Our protocol will test a 'trainthe- trainer' implementation model for transporting the Mujer Segura (Healthy Woman) intervention into community-based organizations (CBOs).MethodsWe have partnered with Mexican Foundation for Family Planning (Mexfam), a nongovernmental organization that has CBOs throughout Mexico. At each CBO, trained ethnographers will survey CBO staff on characteristics of their organization and on their attitudes toward their CBO and toward the implementation of evidence-based interventions (EBIs). Then, after CBO staff recruit a sample of 80 eligible FSWs and deliver a standardcare, didactic intervention to 40 women randomly selected from that pool, a Mexfam staff person will be trained in the Mujer Segura intervention and will then train other counselors to deliver Mujer Segura to the 40 remaining participating FSWs. FSW participants will receive a baseline behavioral assessment and be tested for HIV and STIs (syphilis, gonorrhea, and chlamydia); they will be reassessed at six months post-intervention to measure for possible intervention effects. At the same time, both qualitative and quantitative data will be collected on the implementation process, including measures of counselors' fidelity to the intervention model. After data collection at each CBO is complete, the relative efficacy of the Mujer Segura intervention will be analyzed, and across CBOs, correlations will be examined between individual and organizational provider characteristics and intervention efficacy.DiscussionThis cooperative, bi-national research study will provide critical insights into barriers and facilitating factors associated with implementing interventions in CBOs using the 'train the trainer' model. Our work builds on similar scale-up strategies that have been effective in the United States. This study has the potential to increase our knowledge of the generalizability of such strategies across health issues, national contexts, and organizational contexts. Trial registration NCT01465607
Published: 2012

44. Dynamic adaptation process to implement anevidence-based child maltreatment intervention

Author: Aarons, Gregory A, Green, Amy E, Palinkas, Lawrence A, Self-Brown, Shannon, Whitaker, Daniel J, Lutzker, John R, Silovsky, Jane F, Hecht, Debra B, and Chaffin, Mark J
Abstract: AbstractBackgroundAdaptations are often made to evidence-based practices (EBPs) by systems, organizations, and/or service providers in the implementation process. The degree to which core elements of an EBP can be maintained while allowing for local adaptation is unclear. In addition, adaptations may also be needed at the system, policy, or organizational levels to facilitate EBP implementation and sustainment. This paper describes a study of the feasibility and acceptability of an implementation approach, the Dynamic Adaptation Process (DAP), designed to allow for EBP adaptation and system and organizational adaptations in a planned and considered, rather than ad hoc, way. The DAP involves identifying core elements and adaptable characteristics of an EBP, then supporting implementation with specific training on allowable adaptations to the model, fidelity monitoring and support, and identifying the need for and solutions to system and organizational adaptations. In addition, this study addresses a secondary concern, that of improving EBP model fidelity assessment and feedback in real-world settings.MethodsThis project examines the feasibility, acceptability, and utility of the DAP; tests the degree to which fidelity can be maintained using the DAP compared to implementation as usual (IAU); and examines the feasibility of using automated phone or internet-enabled, computer-based technology to assess intervention fidelity and client satisfaction. The study design incorporates mixed methods in order to describe processes and factors associated with variations in both how the DAP itself is implemented and how the DAP impacts fidelity, drift, and adaptation. The DAP model is to be examined by assigning six regions in California (USA) to either the DAP (n = 3) or IAU (n = 3) to implement an EBP to prevent child neglect.DiscussionThe DAP represents a data-informed, collaborative, multiple stakeholder approach to maintain intervention fidelity during the implementation of EBPs in the field by providing support for intervention, system, and organizational adaptation and intervention fidelity to meet local needs. This study is designed to address the real-world implications of EBP implementation in public sector service systems and is relevant for national, state, and local service systems and organizations.
Published: 2012

45. Abstract 14629: Rare Variants for Electrocardiographic Traits Identify Arrhythmia Susceptibility Genes

Author: Jurgens, Sean J, Choi, Seung Hoan, Haggerty, Christopher M, Hall, Amelia W, Halford, Jennifer, Morrill, Valerie, Weng, Lu Chen, Lagerman, Braxton, Mirshahi, Tooraj, Pettinger, Mary, Guo, Xiuqing, Kornej, Jelena, Lin, Honghuang, Moscati, Arden, Nadkarni, Girish, Brody, Jennifer, Wiggins, Kerri, Cade, Brian E, Lee, Jiwon, Austin-Tse, Christina, Blackwell, Tom, Chaffin, Mark, Lee, Christina J, Rehm, Heidi, Redline, Susan, Mitchell, Braxton D, Sotoodehnia, Nona, Psaty, Bruce M, Heckbert, Susan R, Loos, Ruth J, Vasan, Ramachandran S, Benjamin, Emelia J, Correa, Adolfo, Boerwinkle, Eric, Arking, Dan E, Rotter, Jerome I, Rich, Stephen, Whitsel, Eric A, Perez, Marco V, Kooperberg, Charles, Fornwalt, Brandon, Lunetta, Kathryn, Ellinor, Patrick T, and Lubitz, Steven A
Published: 2020
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46. Genome-Wide Polygenic Score, Clinical Risk Factors, and Long-Term Trajectories of Coronary Artery Disease

Author: Hindy, George, Aragam, Krishna G., Ng, Kenney, Chaffin, Mark, Lotta, Luca A., Baras, Aris, Drake, Isabel, Orho-Melander, Marju, Melander, Olle, Kathiresan, Sekar, and Khera, Amit V.
Published: 2020
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47. Deep learning enables genetic analysis of the human thoracic aorta

Author: Pirruccello, James P., Chaffin, Mark D., Chou, Elizabeth L., Fleming, Stephen J., Lin, Honghuang, Nekoui, Mahan, Khurshid, Shaan, Friedman, Samuel F., Bick, Alexander G., Arduini, Alessandro, Weng, Lu-Chen, Choi, Seung Hoan, Akkad, Amer-Denis, Batra, Puneet, Tucker, Nathan R., Hall, Amelia W., Roselli, Carolina, Benjamin, Emelia J., Vellarikkal, Shamsudheen K., Gupta, Rajat M., Stegmann, Christian M., Juric, Dejan, Stone, James R., Vasan, Ramachandran S., Ho, Jennifer E., Hoffmann, Udo, Lubitz, Steven A., Philippakis, Anthony A., Lindsay, Mark E., and Ellinor, Patrick T.
Abstract: Enlargement or aneurysm of the aorta predisposes to dissection, an important cause of sudden death. We trained a deep learning model to evaluate the dimensions of the ascending and descending thoracic aorta in 4.6 million cardiac magnetic resonance images from the UK Biobank. We then conducted genome-wide association studies in 39,688 individuals, identifying 82 loci associated with ascending and 47 with descending thoracic aortic diameter, of which 14 loci overlapped. Transcriptome-wide analyses, rare-variant burden tests and human aortic single nucleus RNA sequencing prioritized genes including SVIL, which was strongly associated with descending aortic diameter. A polygenic score for ascending aortic diameter was associated with thoracic aortic aneurysm in 385,621 UK Biobank participants (hazard ratio = 1.43 per s.d., confidence interval 1.32–1.54, P= 3.3 × 10−20). Our results illustrate the potential for rapidly defining quantitative traits with deep learning, an approach that can be broadly applied to biomedical images.
Published: 2024
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48. The influence of concrete support on child welfare program engagement, progress, and recurrence

Author: Rostad, Whitney L., Rogers, Tia McGill, and Chaffin, Mark J.
Published: 2017
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49. Transcriptional and Cellular Diversity of the Human Heart

Author: Tucker, Nathan R., Chaffin, Mark, Fleming, Stephen J., Hall, Amelia W., Parsons, Victoria A., Bedi, Kenneth C., Jr, Akkad, Amer-Denis, Herndon, Caroline N., Arduini, Alessandro, Papangeli, Irinna, Roselli, Carolina, Aguet, François, Choi, Seung Hoan, Ardlie, Kristin G., Babadi, Mehrtash, Margulies, Kenneth B., Stegmann, Christian M., and Ellinor, Patrick T.
Published: 2020
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50. Identification of Functional Variant Enhancers Associated With Atrial Fibrillation

Author: van Ouwerkerk, Antoinette F., Bosada, Fernanda M., Liu, Jia, Zhang, Juan, van Duijvenboden, Karel, Chaffin, Mark, Tucker, Nathan R., Pijnappels, Daniel, Ellinor, Patrick T., Barnett, Phil, de Vries, Antoine A.F., and Christoffels, Vincent M.
Published: 2020
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