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35 results on '"Pollin, Toni"'

1. Rare variant analyses in 51,256 type 2 diabetes cases and 370,487 controls reveal the pathogenicity spectrum of monogenic diabetes genes

Author

Huerta-Chagoya, Alicia, Schroeder, Philip, Mandla, Ravi, Li, Jiang, Morris, Lowri, Vora, Maheak, Alkanaq, Ahmed, Nagy, Dorka, Szczerbinski, Lukasz, Madsen, Jesper G. S., Bonàs-Guarch, Silvia, Mollandin, Fanny, Cole, Joanne B., Porneala, Bianca, Westerman, Kenneth, Li, Josephine H., Pollin, Toni I., Florez, Jose C., Gloyn, Anna L., Carey, David J., Cebola, Inês, Mirshahi, Uyenlinh L., Manning, Alisa K., Leong, Aaron, Udler, Miriam, and Mercader, Josep M.

Abstract

Type 2 diabetes (T2D) genome-wide association studies (GWASs) often overlook rare variants as a result of previous imputation panels’ limitations and scarce whole-genome sequencing (WGS) data. We used TOPMed imputation and WGS to conduct the largest T2D GWAS meta-analysis involving 51,256 cases of T2D and 370,487 controls, targeting variants with a minor allele frequency as low as 5 × 10−5. We identified 12 new variants, including a rare African/African American-enriched enhancer variant near the LEPgene (rs147287548), associated with fourfold increased T2D risk. We also identified a rare missense variant in HNF4A(p.Arg114Trp), associated with eightfold increased T2D risk, previously reported in maturity-onset diabetes of the young with reduced penetrance, but observed here in a T2D GWAS. We further leveraged these data to analyze 1,634 ClinVar variants in 22 genes related to monogenic diabetes, identifying two additional rare variants in HNF1Aand GCKassociated with fivefold and eightfold increased T2D risk, respectively, the effects of which were modified by the individual’s polygenic risk score. For 21% of the variants with conflicting interpretations or uncertain significance in ClinVar, we provided support of being benign based on their lack of association with T2D. Our work provides a framework for using rare variant GWASs to identify large-effect variants and assess variant pathogenicity in monogenic diabetes genes.

Published
2024
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2. Genome-wide significant risk loci for mood disorders in the Old Order Amish founder population

Author

Humphries, Elizabeth M., Ahn, Kwangmi, Kember, Rachel L., Lopes, Fabiana L., Mocci, Evelina, Peralta, Juan M., Blangero, John, Glahn, David C., Goes, Fernando S., Zandi, Peter P., Kochunov, Peter, Van Hout, Cristopher, Shuldiner, Alan R., Pollin, Toni I., Mitchell, Braxton D., Bucan, Maja, Hong, L. Elliot, McMahon, Francis J., and Ament, Seth A.

Abstract

Genome-wide association studies (GWAS) of mood disorders in large case-control cohorts have identified numerous risk loci, yet pathophysiological mechanisms remain elusive, primarily due to the very small effects of common variants. We sought to discover risk variants with larger effects by conducting a genome-wide association study of mood disorders in a founder population, the Old Order Amish (OOA, n= 1,672). Our analysis revealed four genome-wide significant risk loci, all of which were associated with >2-fold relative risk. Quantitative behavioral and neurocognitive assessments (n= 314) revealed effects of risk variants on sub-clinical depressive symptoms and information processing speed. Network analysis suggested that OOA-specific risk loci harbor novel risk-associated genes that interact with known neuropsychiatry-associated genes via gene interaction networks. Annotation of the variants at these risk loci revealed population-enriched, non-synonymous variants in two genes encoding neurodevelopmental transcription factors, CUX1and CNOT1. Our findings provide insight into the genetic architecture of mood disorders and a substrate for mechanistic and clinical studies.

Published
2023
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3. Second international consensus report on gaps and opportunities for the clinical translation of precision diabetes medicine

Author

Tobias, Deirdre K., Merino, Jordi, Ahmad, Abrar, Aiken, Catherine, Benham, Jamie L., Bodhini, Dhanasekaran, Clark, Amy L., Colclough, Kevin, Corcoy, Rosa, Cromer, Sara J., Duan, Daisy, Felton, Jamie L., Francis, Ellen C., Gillard, Pieter, Gingras, Véronique, Gaillard, Romy, Haider, Eram, Hughes, Alice, Ikle, Jennifer M., Jacobsen, Laura M., Kahkoska, Anna R., Kettunen, Jarno L. T., Kreienkamp, Raymond J., Lim, Lee-Ling, Männistö, Jonna M. E., Massey, Robert, Mclennan, Niamh-Maire, Miller, Rachel G., Morieri, Mario Luca, Most, Jasper, Naylor, Rochelle N., Ozkan, Bige, Patel, Kashyap Amratlal, Pilla, Scott J., Prystupa, Katsiaryna, Raghavan, Sridharan, Rooney, Mary R., Schön, Martin, Semnani-Azad, Zhila, Sevilla-Gonzalez, Magdalena, Svalastoga, Pernille, Takele, Wubet Worku, Tam, Claudia Ha-ting, Thuesen, Anne Cathrine B., Tosur, Mustafa, Wallace, Amelia S., Wang, Caroline C., Wong, Jessie J., Yamamoto, Jennifer M., Young, Katherine, Amouyal, Chloé, Andersen, Mette K., Bonham, Maxine P., Chen, Mingling, Cheng, Feifei, Chikowore, Tinashe, Chivers, Sian C., Clemmensen, Christoffer, Dabelea, Dana, Dawed, Adem Y., Deutsch, Aaron J., Dickens, Laura T., DiMeglio, Linda A., Dudenhöffer-Pfeifer, Monika, Evans-Molina, Carmella, Fernández-Balsells, María Mercè, Fitipaldi, Hugo, Fitzpatrick, Stephanie L., Gitelman, Stephen E., Goodarzi, Mark O., Grieger, Jessica A., Guasch-Ferré, Marta, Habibi, Nahal, Hansen, Torben, Huang, Chuiguo, Harris-Kawano, Arianna, Ismail, Heba M., Hoag, Benjamin, Johnson, Randi K., Jones, Angus G., Koivula, Robert W., Leong, Aaron, Leung, Gloria K. W., Libman, Ingrid M., Liu, Kai, Long, S. Alice, Lowe, William L., Morton, Robert W., Motala, Ayesha A., Onengut-Gumuscu, Suna, Pankow, James S., Pathirana, Maleesa, Pazmino, Sofia, Perez, Dianna, Petrie, John R., Powe, Camille E., Quinteros, Alejandra, Jain, Rashmi, Ray, Debashree, Ried-Larsen, Mathias, Saeed, Zeb, Santhakumar, Vanessa, Kanbour, Sarah, Sarkar, Sudipa, Monaco, Gabriela S. F., Scholtens, Denise M., Selvin, Elizabeth, Sheu, Wayne Huey-Herng, Speake, Cate, Stanislawski, Maggie A., Steenackers, Nele, Steck, Andrea K., Stefan, Norbert, Støy, Julie, Taylor, Rachael, Tye, Sok Cin, Ukke, Gebresilasea Gendisha, Urazbayeva, Marzhan, Van der Schueren, Bart, Vatier, Camille, Wentworth, John M., Hannah, Wesley, White, Sara L., Yu, Gechang, Zhang, Yingchai, Zhou, Shao J., Beltrand, Jacques, Polak, Michel, Aukrust, Ingvild, de Franco, Elisa, Flanagan, Sarah E., Maloney, Kristin A., McGovern, Andrew, Molnes, Janne, Nakabuye, Mariam, Njølstad, Pål Rasmus, Pomares-Millan, Hugo, Provenzano, Michele, Saint-Martin, Cécile, Zhang, Cuilin, Zhu, Yeyi, Auh, Sungyoung, de Souza, Russell, Fawcett, Andrea J., Gruber, Chandra, Mekonnen, Eskedar Getie, Mixter, Emily, Sherifali, Diana, Eckel, Robert H., Nolan, John J., Philipson, Louis H., Brown, Rebecca J., Billings, Liana K., Boyle, Kristen, Costacou, Tina, Dennis, John M., Florez, Jose C., Gloyn, Anna L., Gomez, Maria F., Gottlieb, Peter A., Greeley, Siri Atma W., Griffin, Kurt, Hattersley, Andrew T., Hirsch, Irl B., Hivert, Marie-France, Hood, Korey K., Josefson, Jami L., Kwak, Soo Heon, Laffel, Lori M., Lim, Siew S., Loos, Ruth J. F., Ma, Ronald C. W., Mathieu, Chantal, Mathioudakis, Nestoras, Meigs, James B., Misra, Shivani, Mohan, Viswanathan, Murphy, Rinki, Oram, Richard, Owen, Katharine R., Ozanne, Susan E., Pearson, Ewan R., Perng, Wei, Pollin, Toni I., Pop-Busui, Rodica, Pratley, Richard E., Redman, Leanne M., Redondo, Maria J., Reynolds, Rebecca M., Semple, Robert K., Sherr, Jennifer L., Sims, Emily K., Sweeting, Arianne, Tuomi, Tiinamaija, Udler, Miriam S., Vesco, Kimberly K., Vilsbøll, Tina, Wagner, Robert, Rich, Stephen S., and Franks, Paul W.

Abstract

Precision medicine is part of the logical evolution of contemporary evidence-based medicine that seeks to reduce errors and optimize outcomes when making medical decisions and health recommendations. Diabetes affects hundreds of millions of people worldwide, many of whom will develop life-threatening complications and die prematurely. Precision medicine can potentially address this enormous problem by accounting for heterogeneity in the etiology, clinical presentation and pathogenesis of common forms of diabetes and risks of complications. This second international consensus report on precision diabetes medicine summarizes the findings from a systematic evidence review across the key pillars of precision medicine (prevention, diagnosis, treatment, prognosis) in four recognized forms of diabetes (monogenic, gestational, type 1, type 2). These reviews address key questions about the translation of precision medicine research into practice. Although not complete, owing to the vast literature on this topic, they revealed opportunities for the immediate or near-term clinical implementation of precision diabetes medicine; furthermore, we expose important gaps in knowledge, focusing on the need to obtain new clinically relevant evidence. Gaps include the need for common standards for clinical readiness, including consideration of cost-effectiveness, health equity, predictive accuracy, liability and accessibility. Key milestones are outlined for the broad clinical implementation of precision diabetes medicine.

Published
2023
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4. Association of parity with body mass index and cardiometabolic risk in high-parous women

Author

He, Shisi, McArdle, Patrick F., Ryan, Kathleen A., Daue, Melanie, Xu, Huichun, Barry, Kathryn Hughes, Magder, Laurence S., Shuldiner, Alan R., Pollin, Toni I., and Mitchell, Braxton D.

Abstract

In this cross-sectional study of high parous Amish women, parity was found to be associated with body mass index in both pre- and post-menopausal women, but more so in younger/pre-menopausal women. Parity was not associated with other indices of cardiometabolic risk.

Published
2023
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5. Familial defective apolipoprotein B-100 and increased low-density lipoprotein cholesterol and coronary artery calcification in the old order amish

Author

Shen, Haiqing, Damcott, Coleen M., Rampersaud, Evadnie, Pollin, Toni I., Horenstein, Richard B., McArdle, Patrick F., Peyser, Patricia A., Bielak, Lawrence F., Post, Wendy S., Chang, Yen-Pei C., Ryan, Kathleen A., Miller, Michael, Rumberger, John A., Sheedy, Patrick F., II, Shelton, John, O'Connell, Jeffrey R., Shuldiner, Alan R., and Mitchell, Braxton D.

Subjects
Cholesterol, LDL -- Genetic aspects, Cholesterol, LDL -- Physiological aspects, Cholesterol, LDL -- Research, Cardiovascular diseases -- Risk factors, Cardiovascular diseases -- Genetic aspects, Cardiovascular diseases -- Research, Apolipoproteins -- Genetic aspects, Apolipoproteins -- Physiological aspects, Apolipoproteins -- Research, Gene mutations -- Research, Health
Published
2010

6. Physical activity and the association of common FTO gene variants with body mass index and obesity

Author

Rampersaud, Evadnie, Mitchell, Braxton D., Pollin, Toni I., Fu, Mao, Shen, Haiqing, O'Connell, Jeffery R., Ducharme, Julie L., Hines, Scott, Sack, Paul, Naglieri, Rosalie, Shuldiner, Alan R., and Snitker, Soren

Subjects
Exercise -- Health aspects, Obesity -- Risk factors, Obesity -- Genetic aspects, Obesity -- Research, Body mass index -- Genetic aspects, Body mass index -- Research, Genetic susceptibility -- Research, Health
Published
2008

7. Publisher Correction: Rare variant analyses in 51,256 type 2 diabetes cases and 370,487 controls reveal the pathogenicity spectrum of monogenic diabetes genes

Author

Huerta-Chagoya, Alicia, Schroeder, Philip, Mandla, Ravi, Li, Jiang, Morris, Lowri, Vora, Maheak, Alkanaq, Ahmed, Nagy, Dorka, Szczerbinski, Lukasz, Madsen, Jesper G. S., Bonàs-Guarch, Silvia, Mollandin, Fanny, Cole, Joanne B., Porneala, Bianca, Westerman, Kenneth, Li, Josephine H., Pollin, Toni I., Florez, Jose C., Gloyn, Anna L., Carey, David J., Cebola, Inês, Mirshahi, Uyenlinh L., Manning, Alisa K., Leong, Aaron, Udler, Miriam, and Mercader, Josep M.

Published
2024
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8. Eating behavior in the old order Amish: heritability analysis and a genome-wide linkage analysis

Author

Steinle, Nanette I, Hsueh, Wen-Chi, Snitker, Soren, Pollin, Toni I, Sakul, Hakan, St Jean, Pamela L, Bell, Callum J, Mitchell, Braxton D, and Shuldiner, Alan R

Subjects
Amish -- Food and nutrition, Food habits -- Analysis, Diabetes -- Genetic aspects, Familial diseases -- Research, Food/cooking/nutrition, Health
Abstract

Background: Eating behavior and thus dietary intake affect the development of obesity-related diseases such as diabetes, hypertension, and hyperlipidemia. Objective: We investigated the genetic underpinnings of eating behavior. Design: We administered a standardized eating behavior inventory to 624 adults from 28 families participating in the Amish Family Diabetes Study. Three quantifiable components of eating behavior were measured: restraint, disinhibition, and hunger. Associations between eating behavior scores and physical characteristics were evaluated. Heritability analysis and a genome-wide multipoint linkage analysis were performed. Results: Eating behavior scores were associated with obesity and obesity-related phenotypes. Heritability estimates were 0.28 [+ or -] 0.09 for restraint, 0.40 [+ or -] 0.10 for disinhibition, and 0.23 [+ or -] 0.09 for hunger (P < 0.001). The linkage analysis showed 4 regions of suggestive linkage. We observed suggestive evidence for linkage of restraint scores to 2 chromosomal regions, near markers D3S1304 [LOD (log of odds) = 2.5, P = 0.0003] and D6S276 (LOD = 2.3, P = 0.0006). We previously reported that D3S1304 is linked to a locus influencing percentage body fat in this same population (LOD = 1.6), suggesting that this behavioral phenotype may be secondary to obesity. The maximum LOD scores for disinhibition were 1.6 (P = 0.003) near marker D7S657 and 1.4 (P = 0.005) near marker D16S752. The maximum LOD score for hunger was 1.4 (P = 0.005) near marker D3S1278. Conclusion: Significant familial effects on eating behavior and suggestive genetic linkage were found in Amish adults. Am J Clin Nutr 2002;75:1098-1106. KEY WORDS Restraint, obesity, behavioral genetics, Amish, heritability, linkage analysis

Published
2002

9. Whole Genome Sequencing Identifies CRISPLD2as 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 C.Y., 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., 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, and Zoellner, Sebastian

Abstract

Asthma 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.

Published
2019
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10. A stepwise approach to implementing pharmacogenetic testing in the primary care setting

Author

Weitzel, Kristin Wiisanen, Duong, Benjamin Q, Arwood, Meghan J, Owusu-Obeng, Aniwaa, Abul-Husn, Noura S, Bernhardt, Barbara A, Decker, Brian, Denny, Joshua C, Dietrich, Eric, Gums, John, Madden, Ebony B, Pollin, Toni I, Wu, Rebekah Ryanne, Haga, Susanne B, and Horowitz, Carol R

Abstract

Pharmacogenetic testing can help identify primary care patients at increased risk for medication toxicity, poor response or treatment failure and inform drug therapy. While testing availability is increasing, providers are unprepared to routinely use pharmacogenetic testing for clinical decision-making. Practice-based resources are needed to overcome implementation barriers for pharmacogenetic testing in primary care.The NHGRI’s IGNITE I Network (Implementing GeNomics In pracTicE; www.ignite-genomics.org) explored practice models, challenges and implementation barriers for clinical pharmacogenomics. Based on these experiences, we present a stepwise approach pharmacogenetic testing in primary care: patient identification; pharmacogenetic test ordering; interpretation and application of test results, and patient education. We present clinical factors to consider, test-ordering processes and resources, and provide guidance to apply test results and counsel patients. Practice-based resources such as this stepwise approach to clinical decision-making are important resources to equip primary care providers to use pharmacogenetic testing.

Published
2019
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11. Qualitative study of system-level factors related to genomic implementation

Author

Zebrowski, Alexis M., Ellis, Darcy E., Barg, Frances K., Sperber, Nina R., Bernhardt, Barbara A., Denny, Joshua C., Dexter, Paul R., Ginsburg, Geoffrey S., Horowitz, Carol R., Johnson, Julie A., Levy, Mia A., Orlando, Lori A., Pollin, Toni I., Skaar, Todd C., and Kimmel, Stephen E.

Abstract

Research on genomic medicine integration has focused on applications at the individual level, with less attention paid to implementation within clinical settings. Therefore, we conducted a qualitative study using the Consolidated Framework for Implementation Research (CFIR) to identify system-level factors that played a role in implementation of genomic medicine within Implementing GeNomics In PracTicE (IGNITE) Network projects.

Published
2019
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12. In VitroFunctional Analysis Can Aid Precision Diagnostics of Hepatocyte Nuclear Factor 1B Maturity-Onset Diabetes of the Young

Author

Pavithram, Aishwarya, Zhang, Haichen, Maloney, Kristin A., Ringdal, Monika, Kaci, Alba, Sagen, Jørn V., Kleinberger, Jeffrey, Jeng, Linda J.B., Njølstad, Pål R., Pollin, Toni I., Molnes, Janne, and Johansson, Bente B.

Abstract

Precision medicine relies on accurate and consistent classification of sequence variants. A correct diagnosis of hepatocyte nuclear factor (HNF) 1B maturity-onset diabetes of the young, caused by pathogenic variants in the HNF1Bgene, is important for optimal disease management and prognosis, and it has implications for genetic counseling and follow-up of at-risk family members. In the present study, the hypothesis is that the functional characterization could provide valuable information to assist the interpretation of pathogenicity of HNF1Bvariants. Using different in vitrofunctional assays, seven variants were identified among 313 individuals suspected to have monogenic diabetes with or without kidney disease. The data from the functional assays were subsequently conjugated with obtained clinical, biochemical, and in silicodata. Two variants (p.A167P, p.H336Pfs∗22) showed severe loss of function due to impaired transactivation, reduced DNA binding (p.A167P), and mRNA instability (p.A167P). Although both these variant carriers were diagnosed with diabetes, the p.H336Pfs∗22 carrier also had congenital absence of a kidney, which is a characteristic HNF1B maturity-onset diabetes of the young trait. Functional analysis of the p.A167P variant revealed damaging effects on HNF-1B protein function, which may warrant imaging of the kidneys and/or pancreas. In addition, the current study has generated important data, including evidence supporting the benign functional impact of five variants (p.D82N, p.T88A, p.N394D, p.V458G, and p.T544A), and piloting new approaches that will prove critical for the growth of HNF1B-diabetes diagnosis.

Published
2024
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13. A genetic-association study of circulating coagulation factor VIII and von Willebrand factor levels

Author

de Vries, Paul S., Reventun, Paula, Brown, Michael R., Heath, Adam S., Huffman, Jennifer E., Le, Ngoc-Quynh, Bebo, Allison, Brody, Jennifer A., Temprano-Sagrera, Gerard, Raffield, Laura M., Ozel, Ayse Bilge, Thibord, Florian, Jain, Deepti, Lewis, Joshua P., Rodriguez, Benjmain A. T., Pankratz, Nathan, Taylor, Kent D., Polasek, Ozren, Chen, Ming-Huei, 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, Ekunwe, Lynette, Davies, Gail, Delgado, Graciela E., Suchon, Pierre, Guo, Xiuqing, Rosendaal, Frits R., Klaric, Lucija, Noordam, Raymond, van Rooij, Frank, Curran, Joanne E., Wheeler, Marsha M., Osburn, William O., O'Connell, Jeffrey R., Boerwinkle, Eric, Beswick, Andrew, Psaty, Bruce M., Kolcic, Ivana, Souto, Juan Carlos, Becker, Lewis C., Hansen, Torben, Doyle, Margaret F., Harris, Sarah E., Moissl, Angela P., Deleuze, Jean-François, Rich, Stephen S., van Hylckama Vlieg, Astrid, Campbell, Harry, Stott, David J., Soria, Jose Manuel, de Maat, Moniek P. M., Almasy, Laura, Brody, Lawrence C., Auer, Paul L., 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, de Andrade, Mariza, 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, Kooperberg, Charles, Hveem, Kristian, Ridker, Paul M., Morange, Pierre-Emmanuel, Johnson, Andrew D., Kabrhel, Christopher, AlexandreTrégouët, David, Smith, Nicholas L., Mitchell, Braxton D., Ben-Shlomo, Yoav, Fornage, Myriam, Hayward, Caroline, Mathias, Rasika A., Kilpeläinen, Tuomas O., Lange, Leslie A., Cox, Simon R., März, Winfried, Morange, Pierre-Emmanuel, Rotter, Jerome I., Mook-Kanamori, Dennis O., Wilson, James F., van der Harst, Pim, Jukema, J. Wouter, Ikram, M. Arfan, Blangero, John, Kooperberg, Charles, Desch, Karl C., Johnson, Andrew D., Sabater-Lleal, Maria, Lowenstein, Charles J., Smith, Nicholas L., and Morrison, Alanna C.

Abstract

•We identified 7 new genetic regions for factor VIII levels, 1 for von Willebrand factor levels, and 3 in a combined analysis.•Silencing B3GNT2and CD36reduced factor VIII release in vitro.Silencing B3GNT2, CD36, and PDIA3reduced von Willebrand factor release.

Published
2024
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15. An APOOPseudogene on Chromosome 5q Is Associated With Low-Density Lipoprotein Cholesterol Levels

Author

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

Abstract

Supplemental Digital Content is available in the text.

Published
2018
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16. Developing a common framework for evaluating the implementation of genomic medicine interventions in clinical care: the IGNITE Network’s Common Measures Working Group

Author

Orlando, Lori A, Sperber, Nina R, Voils, Corrine, Nichols, Marshall, Myers, Rachel A, Wu, R Ryanne, Rakhra-Burris, Tejinder, Levy, Kenneth D, Levy, Mia, Pollin, Toni I, Guan, Yue, Horowitz, Carol R, Ramos, Michelle, Kimmel, Stephen E, McDonough, Caitrin W, Madden, Ebony B, and Damschroder, Laura J

Abstract

PurposeImplementation research provides a structure for evaluating the clinical integration of genomic medicine interventions. This paper describes the Implementing Genomics in Practice (IGNITE) Network’s efforts to promote (i) a broader understanding of genomic medicine implementation research and (ii) the sharing of knowledge generated in the network.MethodsTo facilitate this goal, the IGNITE Network Common Measures Working Group (CMG) members adopted the Consolidated Framework for Implementation Research (CFIR) to guide its approach to identifying constructs and measures relevant to evaluating genomic medicine as a whole, standardizing data collection across projects, and combining data in a centralized resource for cross-network analyses.ResultsCMG identified 10 high-priority CFIR constructs as important for genomic medicine. Of those, eight did not have standardized measurement instruments. Therefore, we developed four survey tools to address this gap. In addition, we identified seven high-priority constructs related to patients, families, and communities that did not map to CFIR constructs. Both sets of constructs were combined to create a draft genomic medicine implementation model.ConclusionWe developed processes to identify constructs deemed valuable for genomic medicine implementation and codified them in a model. These resources are freely available to facilitate knowledge generation and sharing across the field.

Published
2018
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17. Monogenic diabetes in overweight and obese youth diagnosed with type 2 diabetes: the TODAY clinical trial

Author

Kleinberger, Jeffrey W, Copeland, Kenneth C, Gandica, Rachelle G, Haymond, Morey W, Levitsky, Lynne L, Linder, Barbara, Shuldiner, Alan R, Tollefsen, Sherida, White, Neil H, and Pollin, Toni I

Abstract

PurposeMonogenic diabetes accounts for 1–2% of diabetes cases. It is often undiagnosed, which may lead to inappropriate treatment. This study was performed to estimate the prevalence of monogenic diabetes in a cohort of overweight/obese adolescents diagnosed with type 2 diabetes (T2D).MethodsSequencing using a custom monogenic diabetes gene panel was performed on a racially/ethnically diverse cohort of 488 overweight/obese adolescents with T2D in the Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY) clinical trial. Associations between having a monogenic diabetes variant and clinical characteristics and time to treatment failure were analyzed.ResultsMore than 4% (22/488) had genetic variants causing monogenic diabetes (seven GCK, seven HNF4A, five HNF1A, two INS, and one KLF11). Patients with monogenic diabetes had a statistically, but not clinically, significant lower body mass index (BMI) z-score, lower fasting insulin, and higher fasting glucose. Most (6/7) patients with HNF4A variants rapidly failed TODAY treatment across study arms (hazard ratio = 5.03, P = 0.0002), while none with GCK variants failed treatment.ConclusionThe finding of 4.5% of patients with monogenic diabetes in an overweight/obese cohort of children and adolescents with T2D suggests that monogenic diabetes diagnosis should be considered in children and adolescents without diabetes-associated autoantibodies and maintained C-peptide, regardless of BMI, as it may direct appropriate clinical management.

Published
2018
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18. Positive association between Toxoplasma gondiiIgG serointensity and current dysphoria/hopelessness scores in the Old Order Amish: a preliminary study

Author

Wadhawan, Abhishek, Dagdag, Aline, Duffy, Allyson, Daue, Melanie L., Ryan, Kathy A., Brenner, Lisa A., Stiller, John W., Pollin, Toni I., Groer, Maureen W., Huang, Xuemei, Lowry, Christopher A., Mitchell, Braxton D., and Postolache, Teodor T.

Abstract

Toxoplasma gondii (T. gondii) IgG seropositivity and serointensity have been previously associated with suicidal self-directed violence (SSDV). Although associations with unipolar depression have also been investigated, the results have been inconsistent, possibly as a consequence of high heterogeneity. We have now studied this association in a more homogeneous population, [that is (i.e.) Old Order Amish (OOA)] with previously reported high T. gondiiseroprevalence. In 306 OOA with a mean age of 46.1±16.7 years, including 191 (62.4%) women in the Amish Wellness Study, we obtained both T. gondiiIgG titers (by enzyme-linked immunosorbent assay [ELISA]), and depression screening questionnaires (Patient Health Questionnaire [PHQ-9] [n=280] and PHQ-2 [n=26]). Associations between T. gondiiIgG and dysphoria/hopelessness and anhedonia scores on depression screening questionnaires were analyzed using multivariable linear methods with adjustment for age and sex. Serointensity was associated with both current dysphoria/hopelessness (p=0.045) and current combined anhedonia and dysphoria/hopelessness (p=0.043), while associations with simple anhedonia and past/lifelong (rather than current) phenotypes were not significant. These results indicate the need for larger longitudinal studies to corroborate the association between dysphoria/hopelessness and T. gondiiIgG-titers. Current hopelessness is a known risk factor for SSDV which responds particularly well to cognitive behavioral therapy, and may be a focused treatment target for T. gondii-positive individuals at high-risk for SSDV.

Published
2017
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19. Variation in Maturity-Onset Diabetes of the Young Genes Influence Response to Interventions for Diabetes Prevention.

Author

Billings, Liana K, Jablonski, Kathleen A, Warner, A Sofia, Cheng, Yu-Chien, McAteer, Jarred B, Tipton, Laura, Shuldiner, Alan R, Ehrmann, David A, Manning, Alisa K, Dabelea, Dana, Franks, Paul W, Kahn, Steven E, Pollin, Toni I, Knowler, William C, Altshuler, David, and Florez, Jose C

Abstract

Variation in genes that cause maturity-onset diabetes of the young (MODY) has been associated with diabetes incidence and glycemic traits.

Published
2017
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20. The genetic architecture of type 2 diabetes

Author

Fuchsberger, Christian, Flannick, Jason, Teslovich, Tanya M., Mahajan, Anubha, Agarwala, Vineeta, Gaulton, Kyle J., Ma, Clement, Fontanillas, Pierre, Moutsianas, Loukas, McCarthy, Davis J., Rivas, Manuel A., Perry, John R. B., Sim, Xueling, Blackwell, Thomas W., Robertson, Neil R., Rayner, N. William, Cingolani, Pablo, Locke, Adam E., Tajes, Juan Fernandez, Highland, Heather M., Dupuis, Josee, Chines, Peter S., Lindgren, Cecilia M., Hartl, Christopher, Jackson, Anne U., Chen, Han, Huyghe, Jeroen R., van de Bunt, Martijn, Pearson, Richard D., Kumar, Ashish, Müller-Nurasyid, Martina, Grarup, Niels, Stringham, Heather M., Gamazon, Eric R., Lee, Jaehoon, Chen, Yuhui, Scott, Robert A., Below, Jennifer E., Chen, Peng, Huang, Jinyan, Go, Min Jin, Stitzel, Michael L., Pasko, Dorota, Parker, Stephen C. J., Varga, Tibor V., Green, Todd, Beer, Nicola L., Day-Williams, Aaron G., Ferreira, Teresa, Fingerlin, Tasha, Horikoshi, Momoko, Hu, Cheng, Huh, Iksoo, Ikram, Mohammad Kamran, Kim, Bong-Jo, Kim, Yongkang, Kim, Young Jin, Kwon, Min-Seok, Lee, Juyoung, Lee, Selyeong, Lin, Keng-Han, Maxwell, Taylor J., Nagai, Yoshihiko, Wang, Xu, Welch, Ryan P., Yoon, Joon, Zhang, Weihua, Barzilai, Nir, Voight, Benjamin F., Han, Bok-Ghee, Jenkinson, Christopher P., Kuulasmaa, Teemu, Kuusisto, Johanna, Manning, Alisa, Ng, Maggie C. Y., Palmer, Nicholette D., Balkau, Beverley, Stančáková, Alena, Abboud, Hanna E., Boeing, Heiner, Giedraitis, Vilmantas, Prabhakaran, Dorairaj, Gottesman, Omri, Scott, James, Carey, Jason, Kwan, Phoenix, Grant, George, Smith, Joshua D., Neale, Benjamin M., Purcell, Shaun, Butterworth, Adam S., Howson, Joanna M. M., Lee, Heung Man, Lu, Yingchang, Kwak, Soo-Heon, Zhao, Wei, Danesh, John, Lam, Vincent K. L., Park, Kyong Soo, Saleheen, Danish, So, Wing Yee, Tam, Claudia H. T., Afzal, Uzma, Aguilar, David, Arya, Rector, Aung, Tin, Chan, Edmund, Navarro, Carmen, Cheng, Ching-Yu, Palli, Domenico, Correa, Adolfo, Curran, Joanne E., Rybin, Denis, Farook, Vidya S., Fowler, Sharon P., Freedman, Barry I., Griswold, Michael, Hale, Daniel Esten, Hicks, Pamela J., Khor, Chiea-Chuen, Kumar, Satish, Lehne, Benjamin, Thuillier, Dorothée, Lim, Wei Yen, Liu, Jianjun, van der Schouw, Yvonne T., Loh, Marie, Musani, Solomon K., Puppala, Sobha, Scott, William R., Yengo, Loïc, Tan, Sian-Tsung, Taylor Jr., Herman A., Thameem, Farook, Wilson, Gregory, Wong, Tien Yin, Njølstad, Pål Rasmus, Levy, Jonathan C., Mangino, Massimo, Bonnycastle, Lori L., Schwarzmayr, Thomas, Fadista, João, Surdulescu, Gabriela L., Herder, Christian, Groves, Christopher J., Wieland, Thomas, Bork-Jensen, Jette, Brandslund, Ivan, Christensen, Cramer, Koistinen, Heikki A., Doney, Alex S. F., Kinnunen, Leena, Esko, Tõnu, Farmer, Andrew J., Hakaste, Liisa, Hodgkiss, Dylan, Kravic, Jasmina, Lyssenko, Valeriya, Hollensted, Mette, Jørgensen, Marit E., Jørgensen, Torben, Ladenvall, Claes, Justesen, Johanne Marie, Käräjämäki, Annemari, Kriebel, Jennifer, Rathmann, Wolfgang, Lannfelt, Lars, Lauritzen, Torsten, Narisu, Narisu, Linneberg, Allan, Melander, Olle, Milani, Lili, Neville, Matt, Orho-Melander, Marju, Qi, Lu, Qi, Qibin, Roden, Michael, Rolandsson, Olov, Swift, Amy, Rosengren, Anders H., Stirrups, Kathleen, Wood, Andrew R., Mihailov, Evelin, Blancher, Christine, Carneiro, Mauricio O., Maguire, Jared, Poplin, Ryan, Shakir, Khalid, Fennell, Timothy, DePristo, Mark, Hrabé de Angelis, Martin, Deloukas, Panos, Gjesing, Anette P., Jun, Goo, Nilsson, Peter, Murphy, Jacquelyn, Onofrio, Robert, Thorand, Barbara, Hansen, Torben, Meisinger, Christa, Hu, Frank B., Isomaa, Bo, Karpe, Fredrik, Liang, Liming, Peters, Annette, Huth, Cornelia, O’Rahilly, Stephen P., Palmer, Colin N. A., Pedersen, Oluf, Rauramaa, Rainer, Tuomilehto, Jaakko, Salomaa, Veikko, Watanabe, Richard M., Syvänen, Ann-Christine, Bergman, Richard N., Bharadwaj, Dwaipayan, Bottinger, Erwin P., Cho, Yoon Shin, Chandak, Giriraj R., Chan, Juliana C. N., Chia, Kee Seng, Daly, Mark J., Ebrahim, Shah B., Langenberg, Claudia, Elliott, Paul, Jablonski, Kathleen A., Lehman, Donna M., Jia, Weiping, Ma, Ronald C. W., Pollin, Toni I., Sandhu, Manjinder, Tandon, Nikhil, Froguel, Philippe, Barroso, Inês, Teo, Yik Ying, Zeggini, Eleftheria, Loos, Ruth J. F., Small, Kerrin S., Ried, Janina S., DeFronzo, Ralph A., Grallert, Harald, Glaser, Benjamin, Metspalu, Andres, Wareham, Nicholas J., Walker, Mark, Banks, Eric, Gieger, Christian, Ingelsson, Erik, Im, Hae Kyung, Illig, Thomas, Franks, Paul W., Buck, Gemma, Trakalo, Joseph, Buck, David, Prokopenko, Inga, Mägi, Reedik, Lind, Lars, Farjoun, Yossi, Owen, Katharine R., Gloyn, Anna L., Strauch, Konstantin, Tuomi, Tiinamaija, Kooner, Jaspal Singh, Lee, Jong-Young, Park, Taesung, Donnelly, Peter, Morris, Andrew D., Hattersley, Andrew T., Bowden, Donald W., Collins, Francis S., Atzmon, Gil, Chambers, John C., Spector, Timothy D., Laakso, Markku, Strom, Tim M., Bell, Graeme I., Blangero, John, Duggirala, Ravindranath, Tai, E. Shyong, McVean, Gilean, Hanis, Craig L., Wilson, James G., Seielstad, Mark, Frayling, Timothy M., Meigs, James B., Cox, Nancy J., Sladek, Rob, Lander, Eric S., Gabriel, Stacey, Burtt, Noël P., Mohlke, Karen L., Meitinger, Thomas, Groop, Leif, Abecasis, Goncalo, Florez, Jose C., Scott, Laura J., Morris, Andrew P., Kang, Hyun Min, Boehnke, Michael, Altshuler, David, and McCarthy, Mark I.

Abstract

The genetic architecture of common traits, including the number, frequency, and effect sizes of inherited variants that contribute to individual risk, has been long debated. Genome-wide association studies have identified scores of common variants associated with type 2 diabetes, but in aggregate, these explain only a fraction of the heritability of this disease. Here, to test the hypothesis that lower-frequency variants explain much of the remainder, the GoT2D and T2D-GENES consortia performed whole-genome sequencing in 2,657 European individuals with and without diabetes, and exome sequencing in 12,940 individuals from five ancestry groups. To increase statistical power, we expanded the sample size via genotyping and imputation in a further 111,548 subjects. Variants associated with type 2 diabetes after sequencing were overwhelmingly common and most fell within regions previously identified by genome-wide association studies. Comprehensive enumeration of sequence variation is necessary to identify functional alleles that provide important clues to disease pathophysiology, but large-scale sequencing does not support the idea that lower-frequency variants have a major role in predisposition to type 2 diabetes.

Published
2016
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21. Recommendations for Risk Allele Evidence Curation, Classification, and Reporting from the ClinGen Low Penetrance/Risk Allele Working Group

Author

Schmidt, Ryan J., Steeves, Marcie, Bayrak-Toydemir, Pinar, Benson, Katherine A., Coe, Bradley P., Conlin, Laura K., Ganapathi, Mythily, Garcia, John, Gollob, Michael H., Jobanputra, Vaidehi, Luo, Minjie, Ma, Deqiong, Maston, Glenn, McGoldrick, Kelly, Palculict, T. Blake, Pesaran, Tina, Pollin, Toni I., Qian, Emily, Rehm, Heidi L., Riggs, Erin R., Schilit, Samantha L.P., Sergouniotis, Panagiotis I., Tvrdik, Tatiana, Watkins, Nicholas, Zec, Lauren, Zhang, Wenying, and Lebo, Matthew S.

Abstract

Genetic variants at the low end of the penetrance spectrum have historically been challenging to interpret since their high population frequencies exceed the disease prevalence of the associated condition, leading to a lack of clear segregation between the variant and disease. There is currently substantial variation in the classification of these variants, and no formal classification framework has been widely adopted. The Clinical Genome Resource Low Penetrance/Risk Allele Working Group was formed to address these challenges and promote harmonization within the clinical community.

Published
2023
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22. Statistical evidence for high‐penetrance MODY‐causing genes in a large population‐based cohort

Author

Billings, Liana K., Shi, Zhuqing, Resurreccion, W. Kyle, Wang, Chi‐Hsiung, Wei, Jun, Pollin, Toni I., Udler, Miriam S., and Xu, Jianfeng

Abstract

Numerous genes have been proposed as causal for maturity‐onset diabetes of the young (MODY). Scoring systems to annotate mutation pathogenicity have been widely used; however, statistical evidence for being a highly penetrant MODY gene has not been well‐established. Participants were from the UK Biobank with whole‐exome sequencing data, including 14,622 with and 185,509 without diagnosis of diabetes. Pathogenic/likely pathogenic (P/LP) mutations in 14 reported and 3 possible MODY genes were annotated using American College of Medical Genetics criteria. Evidence for being a high‐penetrant MODY gene used two statistical criteria: frequency of aggregate P/LP mutations in each gene are (1) significantly more common in participants with a diagnosis of diabetes than without using the SKAT‐O (p< .05) and (2) lower than the maximum credible frequency in the general population. Among the 17 genes, 6 (GCK, HNF1A, HNF4A, NEUROD1, KCNJ11and HNF1B) met both criteria, 7 (ABCC8, KLF11, RFX6, PCBD1, WFS1, INS and PDX1) met only one criterion, and the remaining 4 (CEL, BLK, APPL1and PAX4) failed both criteria, and were classified as ‘consistent’, ‘inconclusive’ and ‘inconsistent’ for being highly penetrant diabetes genes, respectively. Diabetes participants with mutations in the ‘consistent’ genes had clinical presentations that were most consistent with MODY. In contrast, the ‘inconclusive’ and ‘inconsistent’ genes did not differ clinically from non‐carriers in diabetes‐related characteristics. Data from a large population‐based study provided novel statistical evidence to identify 6 MODY genes as consistent with being highly penetrant. These results have potential implications for interpreting genetic testing results and clinical diagnosis of MODY. Study design and results for assessing statistical evidence of candidate MODY‐causing genes being high‐penetrance in the UK Biobank, a large population‐based cohort.

Published
2022
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23. Rare Variant APOC3R19X Is Associated With Cardio-Protective Profiles in a Diverse Population-Based Survey as Part of the Epidemiologic Architecture for Genes Linked to Environment Study

Author

Crawford, Dana C., Dumitrescu, Logan, Goodloe, Robert, Brown-Gentry, Kristin, Boston, Jonathan, McClellan, Bob, Sutcliffe, Cara, Wiseman, Rachel, Baker, Paxton, Pericak-Vance, Margaret A., Scott, William K., Allen, Melissa, Mayo, Ping, Schnetz-Boutaud, Nathalie, Dilks, Holli H., Haines, Jonathan L., and Pollin, Toni I.

Abstract

Supplemental Digital Content is available in the text.

Published
2014
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24. Implementation of pharmacogenetics: The University of Maryland personalized anti‐platelet pharmacogenetics program

Author

Shuldiner, Alan R., Palmer, Kathleen, Pakyz, Ruth E., Alestock, Tameka D., Maloney, Kristin A., O'Neill, Courtney, Bhatty, Shaun, Schub, Jamie, Overby, Casey Lynnette, Horenstein, Richard B., Pollin, Toni I., Kelemen, Mark D., Beitelshees, Amber L., Robinson, Shawn W., Blitzer, Miriam G., McArdle, Patrick F., Brown, Lawrence, Jeng, Linda Jo Bone, Zhao, Richard Y., Ambulos, Nicholas, and Vesely, Mark R.

Published
2014
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25. Single Nucleotide Polymorphism in Toll-like Receptor 6 Is Associated With a Decreased Risk for UreaplasmaRespiratory Tract Colonization and Bronchopulmonary Dysplasia in Preterm Infants

Author

Winters, Alexandra H., LeVan, Tricia D., Vogel, Stefanie N., Chesko, Kirsty L., Pollin, Toni I., and Viscardi, Rose M.

Abstract

Ureaplasmaspp. respiratory tract colonization is a risk factor for bronchopulmonary dysplasia (BPD) in preterm infants, but differences in host susceptibility have not been elucidated. We hypothesized that variants in genes regulating the innate immune response are associated with altered risk for Ureaplasmaspp. respiratory colonization and BPD in preterm infants.

Published
2013
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26. Genetic Variation in PEAR1Is Associated With Platelet Aggregation and Cardiovascular Outcomes

Author

Lewis, Joshua P., Ryan, Kathleen, O’Connell, Jeffrey R., Horenstein, Richard B., Damcott, Coleen M., Gibson, Quince, Pollin, Toni I., Mitchell, Braxton D., Beitelshees, Amber L., Pakzy, Ruth, Tanner, Keith, Parsa, Afshin, Tantry, Udaya S., Bliden, Kevin P., Post, Wendy S., Faraday, Nauder, Herzog, William, Gong, Yan, Pepine, Carl J., Johnson, Julie A., Gurbel, Paul A., and Shuldiner, Alan R.

Abstract

Aspirin or dual antiplatelet therapy with aspirin and clopidogrel is a standard therapy for patients who are at increased risk for cardiovascular events. However, the genetic determinants of variable response to aspirin (alone and in combination with clopidogrel) are not known.

Published
2013
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27. Investigating Parent of Origin Effects in Studies of Type 2 Diabetes and Obesity

Author

Rampersaud, Evadnie, Mitchell, Braxton, Naj, Adam, and Pollin, Toni

Abstract

The role of parent-of-origin effects (POE) in the etiology of complex diseases such as type 2 diabetes (T2DM) and obesity is currently of intense interest, but still largely unclear. POE are transmittable genetic effects whereby the expression of the phenotype in the offspring depends upon whether the transmission originated from the mother or father. In mammals, POE can be caused by genetic imprinting, intrauterine effects, or maternally inherited mitochondrial genes. In this paper, we describe the different mechanisms underlying POE, characterize known examples of POE in rare forms of diabetes, and review the evidence from linkage and association studies for POE in T2DM and obesity. Finally, we summarize some of the new and established statistical and experimental approaches commonly used to detect POE. Through this paper, we hope emphasizes the potentially significant importance of POE in the etiology of T2DM and obesity.

Published
2008

28. Quantitative Trait Loci for BMD Identified by Autosome‐Wide Linkage Scan to Chromosomes 7q and 21q in Men from the Amish Family Osteoporosis Study

Author

Streeten, Elizabeth A, McBride, Daniel J, Pollin, Toni I, Ryan, Kathy, Shapiro, Jay, Ott, Sandy, Mitchell, Braxton D, Shuldiner, Alan R, and O'Connell, Jeffery R

Abstract

Using autosome‐wide linkage analysis in 964 Amish, strong evidence was found for the presence of genes affecting hip and spine BMD in men on chromosomes 7q31 and 21q22 (LOD = 4.15 and 3.36, respectively).Introduction:BMD is highly heritable, with genetic factors accounting for 60–88% of variation. The goal of this study was to localize genes contributing to BMD variation.Materials and Methods:The Amish Family Osteoporosis Study was designed to identify genes affecting bone health. The Amish are a genetically closed population with a homogeneous lifestyle. BMD was measured at the spine, hip, and radius using DXA in 964 participants (mean age, 50.2 ± 16.3 [SD] years; range, 18–99 years) from large multigenerational families. Genotyping of 731 highly polymorphic microsatellite markers (average spacing of 5.4 cM) and autosome‐wide multipoint linkage analysis were performed.Results:In the overall study population, no strong evidence for linkage was detected to any chromosomal region (peak LOD: 2.11 for radius BMD on chromosome 3q26). In a subgroup analysis of men (n= 371), strong evidence was detected for a quantitative trait locus (QTL) influencing BMD variation on chromosome 7q31 at the total hip (LOD = 4.15) and femoral neck (LOD = 3.09) and for a second QTL influencing spine BMD at 21q22 (LOD = 3.36). Suggestive evidence of linkage was found in men for a QTL at 12q24 affecting total hip BMD (LOD = 2.60) and at 18p11 for femoral neck (LOD = 2.07), and in women (n= 593) at 1p36 for femoral neck BMD (LOD = 2.02) and at 1q21 for spine BMD (LOD = 2.11). In age subgroup analyses, suggestive evidence for linkage was found for those <50 years of age (n= 521) on chromosomes 11q22 and 14q23 (LODs = 2.11 and 2.16, respectively) and for those >50 years of age (n= 443) on 3p25.2 (LOD = 2.32).Conclusions:These results strongly suggest the presence of genes affecting hip and spine BMD in men on chromosomes 7q31 and 21q22. Modest evidence was found for genes affecting BMD in women on chromosomes 1p36 and 1q21 and in men at 12q24, replicating results from other populations.

Published
2006
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29. Reduced Incidence of Hip Fracture in the Old Order Amish

Author

Streeten, Elizabeth A, Mcbride, Daniel J, Lodge, Amy L, Pollin, Toni I, Stinchcomb, David G, Agarwala, Richa, Schäffer, Alejandro A, Shapiro, Jay R, Shuldiner, Alan R, and Mitchell, Braxton D

Abstract

The incidence of hip fracture was estimated in a community of Old Order Amish and compared with available data from non‐Amish whites. Hip fracture rates were 40% lower in the Amish, and the Amish also experienced higher BMD.

Published
2004
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30. Heritability of life span in the Old Order Amish<FNR HREF="fn1"></FNR><FN ID="fn1">This article was prepared by a group consisting of both United States Government employees and non-United States Government employees, and as such is subject to 117 U.S.C. Sec. 105.</FN>

Author

Mitchell, Braxton D., Hsueh, Wen-Chi, King, Terri M., Pollin, Toni I., Sorkin, John, Agarwala, Richa, and Schäffer, Alejandro A.

Abstract

Although a familial contribution to human longevity is recognized, the nature of this contribution is largely unknown. We have examined the familial contribution to life span in the Old Order Amish (OOA) population of Lancaster County, Pennsylvania. Analyses were conducted on 1,655 individuals, representing all those born prior to 1890 and appearing in the most widely available genealogy, surviving until at least age 30 years, and with known date of death. Mean age at death (±SD) in this population was 70.7 ± 15.6 years, and this did not change appreciably over time. Parental and offspring ages at death were significantly correlated, as were ages of death among siblings. Offspring longevity was correlated with longevity of both parents, and in more or less additive fashion. For example, mean offspring age at death was 69.4 ± 15.3 years in individuals for whom both parents died before the age of 75 years (n = 280) and increased to 73.5 ± 16.0 years in individuals for whom neither parent died before the age of 75 years (n = 311). These differences were highly significant (P = 0.006). We estimated heritability of life span to be 25% ± 5%, suggesting that the additive effects of genes account for one quarter of the total variability in life span in the OOA. We conclude that longevity is moderately heritable in the OOA, that the genetic effects are additive, and that genetic influences on longevity are likely to be expressed across a broad range of ages. Published 2001 Wiley-Liss, Inc.

Published
2001
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31. Risk of abnormal pregnancy outcome in carriers of balanced reciprocal translocations involving the Miller-Dieker syndrome (MDS) critical region in chromosome 17p13.3

Author

Pollin, Toni I., Dobyns, William B., Crowe, Carol A., Ledbetter, David H., and Bailey-Wilson, Joan E.

Abstract

We studied the pedigrees of 14 families segregating a reciprocal translocation with one breakpoint in chromosome 17p13 and the other in the distal region of another autosome. All 14 were ascertained on the basis of an affected index case: 13 had Miller-Dieker syndrome (MDS) and one had dup(17p). In these 14 families, 38 balanced translocation carriers had 127 pregnancies, corrected for ascertainment bias by the exclusion of all index cases and carriers in the line of descent to the index cases. An abnormal phentotype, unbalanced chromosome constitution, or both, were found in 33 of 127 (26%) pregnancies: 15 of 127 (12%) had MDS and an unbalanced karyotype with del (17p); 9 of 127 (7%) had a less severe phenotype with dup(17p); and 9 were unstudied, although MDS with der(17) was usually suspected based on early death and multiple congenital anomalies. When unexplained pregnancy losses, including miscarriages and stillbirths, were excluded from the total, 33 of 99 (33%) pregnancies were phenotypically or genotypically abnormal. The overall risk of abnormal pregnancy outcome of 26% is in the upper range of the reported risk for unbalanced offspring of carrier parents assessed through liveborn aneuploid offspring [Gardner and Sutherland (1996), Oxford Univ. Press]. The risk increases to 33% when unexplained pregnancy losses are excluded from the total. These results are consistent with Daniel's model of risk based on the size of the unbalanced fragments [Daniel (1985) Clin Genet 28:216–224, Daniel et al. (1989) Am J Med Genet 31:14–53]. Pregnancy losses included 26 miscarriages (20%) and two stillbirths (2%) among the 127 pregnancies, similar to the respective population frequencies of 10–20% and 1%. Am. J. Med. Genet. 85:369–375, 1999. © 1999 Wiley-Liss, Inc.

Published
1999
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32. Correction: Developing a common framework for evaluating the implementation of genomic medicine interventions in clinical care: the IGNITE Network’s Common Measures Working Group

Author

Orlando, Lori A., Sperber, Nina R., Voils, Corrine, Nichols, Marshall, Myers, Rachel A., Wu, R. Ryanne, Rakhra-Burris, Tejinder, Levy, Kenneth D., Levy, Mia, Pollin, Toni I., Guan, Yue, Horowitz, Carol R., Ramos, Michelle, Kimmel, Stephen E., McDonough, Caitrin W., Madden, Ebony B., and Damschroder, Laura J.

Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Published
2020
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35. Genomics: Variations in blood lipids.

Author

Shuldiner AR and Pollin TI

Subjects
Adaptor Proteins, Vesicular Transport genetics, Adaptor Proteins, Vesicular Transport metabolism, Animals, Chromosomes, Human, Pair 1 genetics, Coronary Artery Disease blood, Coronary Artery Disease genetics, Humans, Liver metabolism, Meta-Analysis as Topic, Mice, Myocardial Infarction blood, Myocardial Infarction genetics, N-Acetylgalactosaminyltransferases genetics, N-Acetylgalactosaminyltransferases metabolism, Protein Phosphatase 1 genetics, Protein Phosphatase 1 metabolism, Racial Groups genetics, Sample Size, Polypeptide N-acetylgalactosaminyltransferase, Cholesterol blood, Genome-Wide Association Study, Lipid Metabolism genetics, Polymorphism, Single Nucleotide genetics
Published
2010
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