Author: "Sinsheimer, Janet S." - Searchworks@Jio Institute Digital Library Search Results

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1,052 results on '"Sinsheimer, Janet S."'

1. Cross-tissue omics analysis discovers ten adipose genes encoding secreted proteins in obesity-related non-alcoholic fatty liver disease.

Author: Darci-Maher, Nicholas, Alvarez, Marcus, Arasu, Uma Thanigai, Selvarajan, Ilakya, Lee, Seung Hyuk T, Pan, David Z, Miao, Zong, Das, Sankha Subhra, Kaminska, Dorota, Örd, Tiit, Benhammou, Jihane N, Wabitsch, Martin, Pisegna, Joseph R, Männistö, Ville, Pietiläinen, Kirsi H, Laakso, Markku, Sinsheimer, Janet S, Kaikkonen, Minna U, Pihlajamäki, Jussi, and Pajukanta, Päivi
Subjects: Liver, Humans, Obesity, Genome-Wide Association Study, Non-alcoholic Fatty Liver Disease, Biomarkers, Adipogenesis, Dual-tissue transcriptomics screening, Liver histology, Non-alcoholic fatty liver disease, Serum biomarkers, cis regulatory variants, Chronic Liver Disease and Cirrhosis, Digestive Diseases, Liver Disease, Prevention, Nutrition, Biotechnology, Genetics, Aetiology, 2.1 Biological and endogenous factors, Metabolic and endocrine, Clinical Sciences, Public Health and Health Services
Abstract: BackgroundNon-alcoholic fatty liver disease (NAFLD) is a fast-growing, underdiagnosed, epidemic. We hypothesise that obesity-related inflammation compromises adipose tissue functions, preventing efficient fat storage, and thus driving ectopic fat accumulation into the liver.MethodsTo identify adipose-based mechanisms and potential serum biomarker candidates (SBCs) for NAFLD, we utilise dual-tissue RNA-sequencing (RNA-seq) data in adipose tissue and liver, paired with histology-based NAFLD diagnosis, from the same individuals in a cohort of obese individuals. We first scan for genes that are differentially expressed (DE) for NAFLD in obese individuals' subcutaneous adipose tissue but not in their liver; encode proteins secreted to serum; and show preferential adipose expression. Then the identified genes are filtered to key adipose-origin NAFLD genes by best subset analysis, knockdown experiments during human preadipocyte differentiation, recombinant protein treatment experiments in human liver HepG2 cells, and genetic analysis.FindingsWe discover a set of genes, including 10 SBCs, that may modulate NAFLD pathogenesis by impacting adipose tissue function. Based on best subset analysis, we further follow-up on two SBCs CCDC80 and SOD3 by knockdown in human preadipocytes and subsequent differentiation experiments, which show that they modulate crucial adipogenesis genes, LPL, SREBPF1, and LEP. We also show that treatment of the liver HepG2 cells with the CCDC80 and SOD3 recombinant proteins impacts genes related to steatosis and lipid processing, including PPARA, NFE2L2, and RNF128. Finally, utilizing the adipose NAFLD DE gene cis-regulatory variants associated with serum triglycerides (TGs) in extensive genome-wide association studies (GWASs), we demonstrate a unidirectional effect of serum TGs on NAFLD with Mendelian Randomization (MR) analysis. We also demonstrate that a single SNP regulating one of the SBC genes, rs2845885, produces a significant MR result by itself. This supports the conclusion that genetically regulated adipose expression of the NAFLD DE genes may contribute to NAFLD through changes in serum TG levels.InterpretationOur results from the dual-tissue transcriptomics screening improve the understanding of obesity-related NAFLD by providing a targeted set of 10 adipose tissue-active genes as new serum biomarker candidates for the currently grossly underdiagnosed fatty liver disease.FundingThe work was supported by NIH grants R01HG010505 and R01DK132775. The Genotype-Tissue Expression (GTEx) Project was supported by the Common Fund of the Office of the Director of the National Institutes of Health, and by NCI, NHGRI, NHLBI, NIDA, NIMH, and NINDS. The KOBS study (J. P.) was supported by the Finnish Diabetes Research Foundation, Kuopio University Hospital Project grant (EVO/VTR grants 2005-2019), and the Academy of Finland grant (Contract no. 138006). This study was funded by the European Research Council under the European Union's Horizon 2020 research and innovation program (Grant No. 802825 to M. U. K.). K. H. P. was funded by the Academy of Finland (grant numbers 272376, 266286, 314383, and 335443), the Finnish Medical Foundation, Gyllenberg Foundation, Novo Nordisk Foundation (grant numbers NNF10OC1013354, NNF17OC0027232, and NNF20OC0060547), Finnish Diabetes Research Foundation, Finnish Foundation for Cardiovascular Research, University of Helsinki, and Helsinki University Hospital and Government Research Funds. I. S. was funded by the Instrumentarium Science Foundation. Personal grants to U. T. A. were received from the Matti and Vappu Maukonen Foundation, Ella och Georg Ehrnrooths Stiftelse and the Finnish Foundation for Cardiovascular Research.
Published: 2023

2. Multivariate genome-wide association analysis by iterative hard thresholding

Author: Chu, Benjamin B, Ko, Seyoon, Zhou, Jin J, Jensen, Aubrey, Zhou, Hua, Sinsheimer, Janet S, and Lange, Kenneth
Subjects: Mathematical Sciences, Biological Sciences, Statistics, Genetics, Human Genome, Genome-Wide Association Study, Software, Algorithms, Computer Simulation, Phenotype, Polymorphism, Single Nucleotide, Information and Computing Sciences, Bioinformatics, Biological sciences, Information and computing sciences, Mathematical sciences
Abstract: MotivationIn a genome-wide association study, analyzing multiple correlated traits simultaneously is potentially superior to analyzing the traits one by one. Standard methods for multivariate genome-wide association study operate marker-by-marker and are computationally intensive.ResultsWe present a sparsity constrained regression algorithm for multivariate genome-wide association study based on iterative hard thresholding and implement it in a convenient Julia package MendelIHT.jl. In simulation studies with up to 100 quantitative traits, iterative hard thresholding exhibits similar true positive rates, smaller false positive rates, and faster execution times than GEMMA's linear mixed models and mv-PLINK's canonical correlation analysis. On UK Biobank data with 470 228 variants, MendelIHT completed a three-trait joint analysis (n=185 656) in 20 h and an 18-trait joint analysis (n=104 264) in 53 h with an 80 GB memory footprint. In short, MendelIHT enables geneticists to fit a single regression model that simultaneously considers the effect of all SNPs and dozens of traits.Availability and implementationSoftware, documentation, and scripts to reproduce our results are available from https://github.com/OpenMendel/MendelIHT.jl.
Published: 2023

3. WiSER: Robust and Scalable Estimation and Inference of Within-Subject Variances from Intensive Longitudinal Data

Author: German, Christopher A, Sinsheimer, Janet S, Zhou, Jin, and Zhou, Hua
Subjects: Mathematical Sciences, Statistics, Prevention, Generic health relevance, Humans, Female, Models, Statistical, Computer Simulation, Probability, Algorithms, Longitudinal Studies, blood pressure variability, electronic health record, glycemic variation, intraindividual variability, mHealth, method of moments, Other Mathematical Sciences, Statistics & Probability
Abstract: The availability of vast amounts of longitudinal data from electronic health records (EHRs) and personal wearable devices opens the door to numerous new research questions. In many studies, individual variability of a longitudinal outcome is as important as the mean. Blood pressure fluctuations, glycemic variations, and mood swings are prime examples where it is critical to identify factors that affect the within-individual variability. We propose a scalable method, within-subject variance estimator by robust regression (WiSER), for the estimation and inference of the effects of both time-varying and time-invariant predictors on within-subject variance. It is robust against the misspecification of the conditional distribution of responses or the distribution of random effects. It shows similar performance as the correctly specified likelihood methods but is 103 ∼ 105 times faster. The estimation algorithm scales linearly in the total number of observations, making it applicable to massive longitudinal data sets. The effectiveness of WiSER is evaluated in extensive simulation studies. Its broad applicability is illustrated using the accelerometry data from the Women's Health Study and a clinical trial for longitudinal diabetes care.
Published: 2022

4. Immune system disruptions implicated in whole blood epigenome-wide association study of depression among Parkinson's disease patients

Author: Paul, Kimberly C, Kusters, Cynthia, Furlong, Melissa, Zhang, Keren, Yu, Yu, Folle, Aline Duarte, Del Rosario, Irish, Keener, Adrienne, Bronstein, Jeff, Sinsheimer, Janet S, Horvath, Steve, and Ritz, Beate
Subjects: Biomedical and Clinical Sciences, Clinical Sciences, Immunology, Genetics, Human Genome, Neurosciences, Biotechnology, Behavioral and Social Science, Brain Disorders, Aging, Neurodegenerative, Mental Health, Parkinson's Disease, Depression, Aetiology, 2.1 Biological and endogenous factors, Inflammatory and immune system, Neurological, DNA methylation, Inflammation, Methylation QTLs, Neutrophil-to-lymphocyte ratio, Parkinson's disease, Clinical sciences
Abstract: Although Parkinson's Disease (PD) is typically described in terms of motor symptoms, depression is a common feature. We explored whether depression influences blood-based genome-wide DNA methylation (DNAm) in 692 subjects from a population-based PD case-control study, using both a history of clinically diagnosed depression and current depressive symptoms measured by the geriatric depression scale (GDS). While PD patients in general had more immune activation and more accelerated epigenetic immune system aging than controls, the patients experiencing current depressive symptoms (GDS≥5) showed even higher levels of both markers than patients without current depressive symptoms (GDS
Published: 2022

5. Human liver single nucleus and single cell RNA sequencing identify a hepatocellular carcinoma-associated cell-type affecting survival

Author: Alvarez, Marcus, Benhammou, Jihane N, Darci-Maher, Nicholas, French, Samuel W, Han, Steven B, Sinsheimer, Janet S, Agopian, Vatche G, Pisegna, Joseph R, and Pajukanta, Päivi
Subjects: Biological Sciences, Bioinformatics and Computational Biology, Digestive Diseases, Cancer, Clinical Research, Liver Cancer, Rare Diseases, Genetics, Human Genome, Liver Disease, Biotechnology, 2.1 Biological and endogenous factors, Aetiology, Good Health and Well Being, Biomarkers, Tumor, Carcinoma, Hepatocellular, Gene Expression Regulation, Neoplastic, Humans, Liver Neoplasms, Prognosis, Sequence Analysis, RNA, Clinical Sciences
Abstract: BackgroundHepatocellular carcinoma (HCC) is a common primary liver cancer with poor overall survival. We hypothesized that there are HCC-associated cell-types that impact patient survival.MethodsWe combined liver single nucleus (snRNA-seq), single cell (scRNA-seq), and bulk RNA-sequencing (RNA-seq) data to search for cell-type differences in HCC. To first identify cell-types in HCC, adjacent non-tumor tissue, and normal liver, we integrated single-cell level data from a healthy liver cohort (n = 9 non-HCC samples) collected in the Strasbourg University Hospital; an HCC cohort (n = 1 non-HCC, n = 14 HCC-tumor, and n = 14 adjacent non-tumor samples) collected in the Singapore General Hospital and National University; and another HCC cohort (n = 3 HCC-tumor and n = 3 adjacent non-tumor samples) collected in the Dumont-UCLA Liver Cancer Center. We then leveraged these single cell level data to decompose the cell-types in liver bulk RNA-seq data from HCC patients' tumor (n = 361) and adjacent non-tumor tissue (n = 49) from the Cancer Genome Atlas (TCGA) multi-center cohort. For replication, we decomposed 221 HCC and 209 adjacent non-tumor liver microarray samples from the Liver Cancer Institute (LCI) cohort collected by the Liver Cancer Institute and Zhongshan Hospital of Fudan University.ResultsWe discovered a tumor-associated proliferative cell-type, Prol (80.4% tumor cells), enriched for cell cycle and mitosis genes. In the liver bulk tissue from the TCGA cohort, the proportion of the Prol cell-type is significantly increased in HCC and associates with a worse overall survival. Independently from our decomposition analysis, we reciprocally show that Prol nuclei/cells significantly over-express both tumor-elevated and survival-decreasing genes obtained from the bulk tissue. Our replication analysis in the LCI cohort confirmed that an increased estimated proportion of the Prol cell-type in HCC is a significant marker for a shorter overall survival. Finally, we show that somatic mutations in the tumor suppressor genes TP53 and RB1 are linked to an increase of the Prol cell-type in HCC.ConclusionsBy integrating liver single cell, single nucleus, and bulk expression data from multiple cohorts we identified a proliferating cell-type (Prol) enriched in HCC tumors, associated with a decreased overall survival, and linked to TP53 and RB1 somatic mutations.
Published: 2022

6. Cohort Expansion and Genotype-Phenotype Analysis of RAB11A-Associated Neurodevelopmental Disorder

Author: Acosta, Maria T., Adam, Margaret, Adams, David R., Alvarez, Raquel L., Alvey, Justin, Amendola, Laura, Andrews, Ashley, Ashley, Euan A., Bacino, Carlos A., Bademci, Guney, Balasubramanyam, Ashok, Baldridge, Dustin, Bale, Jim, Bamshad, Michael, Barbouth, Deborah, Bayrak-Toydemir, Pinar, Beck, Anita, Beggs, Alan H., Behrens, Edward, Bejerano, Gill, Bellen, Hugo J., Bennett, Jimmy, Berg-Rood, Beverly, Bernstein, Jonathan A., Berry, Gerard T., Bican, Anna, Bivona, Stephanie, Blue, Elizabeth, Bohnsack, John, Bonner, Devon, Botto, Lorenzo, Boyd, Brenna, Briere, Lauren C., Brokamp, Elly, Brown, Gabrielle, Burke, Elizabeth A., Burrage, Lindsay C., Butte, Manish J., Byers, Peter, Byrd, William E., Carey, John, Carrasquillo, Olveen, Cassini, Thomas, Peter Chang, Ta Chen, Chanprasert, Sirisak, Chao, Hsiao-Tuan, Clark, Gary D., Coakley, Terra R., Cobban, Laurel A., Cogan, Joy D., Coggins, Matthew, Cole, F. Sessions, Colley, Heather A., Cooper, Cynthia M., Cope, Heidi, Corona, Rosario, Craigen, William J., Crouse, Andrew B., Cunningham, Michael, D'Souza, Precilla, Dai, Hongzheng, Dasari, Surendra, Davis, Joie, Dayal, Jyoti G., Dell'Angelica, Esteban C., Dipple, Katrina, Doherty, Daniel, Dorrani, Naghmeh, Doss, Argenia L., Douine, Emilie D., Duncan, Laura, Earl, Dawn, Eckstein, David J., Emrick, Lisa T., Eng, Christine M., Falk, Marni, Fieg, Elizabeth L., Fisher, Paul G., Fogel, Brent L., Forghani, Irman, Gahl, William A., Glass, Ian, Gochuico, Bernadette, Goddard, Page C., Godfrey, Rena A., Golden-Grant, Katie, Grajewski, Alana, Hadley, Don, Hahn, Sihoun, Halley, Meghan C., Hamid, Rizwan, Hassey, Kelly, Hayes, Nichole, High, Frances, Hing, Anne, Hisama, Fuki M., Holm, Ingrid A., Hom, Jason, Horike-Pyne, Martha, Huang, Alden, Hutchison, Sarah, Introne, Wendy, Isasi, Rosario, Izumi, Kosuke, Jamal, Fariha, Jarvik, Gail P., Jarvik, Jeffrey, Jayadev, Suman, Jean-Marie, Orpa, Jobanputra, Vaidehi, Karaviti, Lefkothea, Kennedy, Jennifer, Ketkar, Shamika, Kiley, Dana, Kilich, Gonench, Kobren, Shilpa N., Kohane, Isaac S., Kohler, Jennefer N., Korrick, Susan, Kozuira, Mary, Krakow, Deborah, Krasnewich, Donna M., Kravets, Elijah, Lalani, Seema R., Lam, Byron, Lam, Christina, Lanpher, Brendan C., Lanza, Ian R., LeBlanc, Kimberly, Lee, Brendan H., Levitt, Roy, Lewis, Richard A., Liu, Pengfei, Liu, Xue Zhong, Longo, Nicola, Loo, Sandra K., Loscalzo, Joseph, Maas, Richard L., Macnamara, Ellen F., MacRae, Calum A., Maduro, Valerie V., Maghiro, AudreyStephannie, Mahoney, Rachel, Malicdan, May Christine V., Mamounas, Laura A., Manolio, Teri A., Mao, Rong, Maravilla, Kenneth, Marom, Ronit, Marth, Gabor, Martin, Beth A., Martin, Martin G., Martínez-Agosto, Julian A., Marwaha, Shruti, McCauley, Jacob, McConkie-Rosell, Allyn, McCray, Alexa T., McGee, Elisabeth, Mefford, Heather, Merritt, J. Lawrence, Might, Matthew, Mirzaa, Ghayda, Morava, Eva, Moretti, Paolo, Mulvihill, John, Nakano-Okuno, Mariko, Nelson, Stanley F., Newman, John H., Nicholas, Sarah K., Nickerson, Deborah, Nieves-Rodriguez, Shirley, Novacic, Donna, Oglesbee, Devin, Orengo, James P., Pace, Laura, Pak, Stephen, Pallais, J. Carl, Palmer, Christina G.S., Papp, Jeanette C., Parker, Neil H., Phillips, John A., III, Posey, Jennifer E., Potocki, Lorraine, Pusey Swerdzewski, Barbara N., Quinlan, Aaron, Rao, Deepak A., Raper, Anna, Raskind, Wendy, Renteria, Genecee, Reuter, Chloe M., Rives, Lynette, Robertson, Amy K., Rodan, Lance H., Rosenfeld, Jill A., Rosenwasser, Natalie, Rossignol, Francis, Ruzhnikov, Maura, Sacco, Ralph, Sampson, Jacinda B., Saporta, Mario, Schaechter, Judy, Schedl, Timothy, Schoch, Kelly, Scott, Daryl A., Scott, C. Ron, Shashi, Vandana, Shin, Jimann, Silverman, Edwin K., Sinsheimer, Janet S., Sisco, Kathy, Smith, Edward C., Smith, Kevin S., Solem, Emily, Solnica-Krezel, Lilianna, Solomon, Ben, Spillmann, Rebecca C., Stoler, Joan M., Sullivan, Kathleen, Sullivan, Jennifer A., Sun, Angela, Sutton, Shirley, Sweetser, David A., Sybert, Virginia, Tabor, Holly K., Tan, Queenie K.-G., Tan, Amelia L.M., Tekin, Mustafa, Telischi, Fred, Thorson, Willa, Tifft, Cynthia J., Toro, Camilo, Tran, Alyssa A., Ungar, Rachel A., Urv, Tiina K., Vanderver, Adeline, Velinder, Matt, Viskochil, Dave, Vogel, Tiphanie P., Wahl, Colleen E., Walker, Melissa, Wallace, Stephanie, Walley, Nicole M., Wambach, Jennifer, Wan, Jijun, Wang, Lee-kai, Wangler, Michael F., Ward, Patricia A., Wegner, Daniel, Hubshman, Monika Weisz, Wener, Mark, Wenger, Tara, Westerfield, Monte, Wheeler, Matthew T., Whitlock, Jordan, Wolfe, Lynne A., Worley, Kim, Xiao, Changrui, Yamamoto, Shinya, Yang, John, Zhang, Zhe, Zuchner, Stephan, Borroto, Maria Carla, Patel, Heena, Srivastava, Siddharth, Swanson, Lindsay C., Keren, Boris, Whalen, Sandra, Mignot, Cyril, Wang, Xiaodong, Chen, Qian, McLean, Scott, Littlejohn, Rebecca O., Emrick, Lisa, Attali, Ruben, Lesca, Gaetan, Acquaviva-Bourdain, Cecile, Sarret, Catherine, Seaver, Laurie H., Platzer, Konrad, Bartolomaeus, Tobias, Wünsch, Cornelia, Fischer, Susann, Rodriguez Barreto, Ana Maria, Granadillo, Jorge L., Schreiner, Elisabeth, Brunet, Theresa, Schatz, Ulrich A., Thiffault, Isabelle, Mullegama, Sureni V., Michaud, Jacques L., Hamdan, Fadi F., Rossignol, Elsa, and Campeau, Philippe M.
Published: 2024
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7. Loss-of-function in RBBP5 results in a syndromic neurodevelopmental disorder associated with microcephaly

Author: Acosta, Maria T., Adams, David R., Raquel, Alvarez, L., Alvey, Justin, Allworth, Aimee, Andrews, Ashley, Ashley, Euan A., Bacino, Carlos A., Bademci, Guney, Balasubramanyam, Ashok, Baldridge, Dustin, Bale, Jim, Bamshad, Michael, Barbouth, Deborah, Bayrak-Toydemir, Pinar, Beck, Anita, Beggs, Alan H., Behrens, Edward, Bejerano, Gill, Bellen, Hugo J., Bennett, Jimmy, Bernstein, Jonathan A., Berry, Gerard T., Bican, Anna, Bivona, Stephanie, Blue, Elizabeth, Bohnsack, John, Bonner, Devon, Botto, Lorenzo, Briere, Lauren C., Brown, Gabrielle, Burke, Elizabeth A., Burrage, Lindsay C., Butte, Manish J., Byers, Peter, Byrd, William E., Carey, John, Carrasquillo, Olveen, Carvhalo Neto, George D., Cassini, Thomas, Peter Chang, Ta Chen, Chanprasert, Sirisak, Chao, Hsiao-Tuan, Chinn, Ivan, Clark, Gary D., Coakley, Terra R., Cobban, Laurel A., Cogan, Joy D., Coggins, Matthew, Cole, F. Sessions, Colley, Heather A., Cope, Heidi, Corona, Rosario, Craigen, William J., Crouse, Andrew B., Cunningham, Michael, D’Souza, Precilla, Dai, Hongzheng, Dasari, Surendra, Davis, Joie, Dayal, Jyoti G., Dell'Angelica, Esteban C., Dipple, Katrina, Doherty, Daniel, Dorrani, Naghmeh, Doss, Argenia L., Douine, Emilie D., Earl, Dawn, Eckstein, David J., Emrick, Lisa T., Eng, Christine M., Falk, Marni, Fieg, Elizabeth L., Fisher, Paul G., Fogel, Brent L., Forghani, Irman, Gahl, William A., Glass, Ian, Gochuico, Bernadette, Goddard, Page C., Godfrey, Rena A., Grajewski, Alana, Hadley, Don, Halley, Meghan C., Hamid, Rizwan, Hassey, Kelly, Hayes, Nichole, High, Frances, Hing, Anne, Hisama, Fuki M., Holm, Ingrid A., Hom, Jason, Horike-Pyne, Martha, Huang, Alden, Hutchison, Sarah, Introne, Wendy, Isasi, Rosario, Izumi, Kosuke, Jarvik, Gail P., Jarvik, Jeffrey, Jayadev, Suman, Jean-Marie, Orpa, Jobanputra, Vaidehi, Kaitryn, Emerald, Ketkar, Shamika, Kiley, Dana, Kilich, Gonench, Kobren, Shilpa N., Kohane, Isaac S., Kohler, Jennefer N., Korrick, Susan, Krakow, Deborah, Krasnewich, Donna M., Kravets, Elijah, Lalani, Seema R., Lam, Byron, Lam, Christina, Lanpher, Brendan C., Lanza, Ian R., LeBlanc, Kimberly, Lee, Brendan H., Levitt, Roy, Lewis, Richard A., Liu, Pengfei, Liu, Xue Zhong, Longo, Nicola, Loo, Sandra K., Loscalzo, Joseph, Maas, Richard L., Macnamara, Ellen F., MacRae, Calum A., Maduro, Valerie V., Maghiro, Audrey Stephannie, Mahoney, Rachel, Malicdan, May Christine V., Mamounas, Laura A., Manolio, Teri A., Mao, Rong, Marom, Ronit, Marth, Gabor, Martin, Beth A., Martin, Martin G., Martínez-Agosto, Julian A., Marwaha, Shruti, McCauley, Jacob, McConkie-Rosell, Allyn, McCray, Alexa T., McGee, Elisabeth, Might, Matthew, Miller, Danny, Mirzaa, Ghayda, Moore, Ryan M., Morava, Eva, Moretti, Paolo, Mulvihill, John J., Nakano-Okuno, Mariko, Nelson, Stanley F., Nieves-Rodriguez, Shirley, Novacic, Donna, Oglesbee, Devin, Orengo, James P., Pace, Laura, Pak, Stephen, Pallais, J. Carl, Palmer, Christina G.S., Papp, Jeanette C., Parker, Neil H., Phillips, John A., III, Posey, Jennifer E., Potocki, Lorraine, Pusey Swerdzewski, Barbara N., Quinlan, Aaron, Rao, Deepak A., Raper, Anna, Raskind, Wendy, Renteria, Genecee, Reuter, Chloe M., Rives, Lynette, Robertson, Amy K., Rodan, Lance H., Rosenfeld, Jill A., Rosenthal, Elizabeth, Rossignol, Francis, Ruzhnikov, Maura, Sacco, Ralph, Sampson, Jacinda B., Saporta, Mario, Schaechter, Judy, Schedl, Timothy, Schoch, Kelly, Scott, Daryl A., Seto, Elaine, Shashi, Vandana, Shelkowitz, Emily, Sheppeard, Sam, Shin, Jimann, Silverman, Edwin K., Sinsheimer, Janet S., Sisco, Kathy, Smith, Edward C., Smith, Kevin S., Solnica-Krezel, Lilianna, Solomon, Ben, Spillmann, Rebecca C., Stergachis, Andrew, Stoler, Joan M., Sullivan, Kathleen, Sullivan, Jennifer A., Sutton, Shirley, Sweetser, David A., Sybert, Virginia, Tabor, Holly K., Tan, Queenie K.-G., Tan, Amelia L.M., Tarakad, Arjun, Tekin, Mustafa, Telischi, Fred, Thorson, Willa, Tifft, Cynthia J., Toro, Camilo, Tran, Alyssa A., Ungar, Rachel A., Urv, Tiina K., Vanderver, Adeline, Velinder, Matt, Viskochil, Dave, Vogel, Tiphanie P., Wahl, Colleen E., Walker, Melissa, Walley, Nicole M., Wambach, Jennifer, Wan, Jijun, Wang, Lee-kai, Wangler, Michael F., Ward, Patricia A., Wegner, Daniel, Hubshman, Monika Weisz, Wener, Mark, Wenger, Tara, Westerfield, Monte, Wheeler, Matthew T., Whitlock, Jordan, Wolfe, Lynne A., Worley, Kim, Xiao, Changrui, Yamamoto, Shinya, Yang, John, Zhang, Zhe, Zuchner, Stephan, Huang, Yue, Jay, Kristy L., Yen-Wen Huang, Alden, Jangam, Sharayu V., Chorin, Odelia, Rothschild, Annick, Barel, Ortal, Mariani, Milena, Iascone, Maria, Xue, Han, Huang, Jing, Mignot, Cyril, Keren, Boris, Saillour, Virginie, Mah-Som, Annelise Y., Sacharow, Stephanie, Rajabi, Farrah, Costin, Carrie, Kanca, Oguz, and Martinez-Agosto, Julian A.
Published: 2024
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8. The Undiagnosed Diseases Network: Characteristics of solvable applicants and diagnostic suggestions for nonaccepted ones

Author: Acosta, Maria T., Adams, David R., Afzali, Ben, Al-Beshri, Ali, Allworth, Aimee, Alvarez, Raquel L., Alvey, Justin, Andrews, Ashley, Ashley, Euan A., Bacino, Carlos A., Bademci, Guney, Balasubramanyam, Ashok, Baldridge, Dustin, Bale, Jim, Bamshad, Michael, Barbouth, Deborah, Bayrak-Toydemir, Pinar, Beck, Anita, Beggs, Alan H., Behrens, Edward, Bejerano, Gill, Bellen, Hugo J., Bennett, Jimmy, Bernstein, Jonathan A., Berry, Gerard T., Bican, Anna, Bivona, Stephanie, Blue, Elizabeth, Bohnsack, John, Bonner, Devon, Borja, Nicholas, Botto, Lorenzo, Briere, Lauren C., Burke, Elizabeth A., Burrage, Lindsay C., Butte, Manish J., Byers, Peter, Byrd, William E., Callaway, Kaitlin, Carey, John, Carvalho, George, Cassini, Thomas, Chanprasert, Sirisak, Chao, Hsiao-Tuan, Chinn, Ivan, Clark, Gary D., Coakley, Terra R., Cobban, Laurel A., Cogan, Joy D., Coggins, Matthew, Cole, F. Sessions, Corner, Brian, Corona, Rosario I., Craigen, William J., Crouse, Andrew B., Cuddapah, Vishnu, Cunningham, Michael, D’Souza, Precilla, Dai, Hongzheng, Dasari, Surendra, Davis, Joie, Delgado, Margaret, Dell’Angelica, Esteban C., Dipple, Katrina, Doherty, Daniel, Dorrani, Naghmeh, Douglas, Jessica, Douine, Emilie D., Earl, Dawn, Emrick, Lisa T., Eng, Christine M., Ezell, Kimberly, Fieg, Elizabeth L., Fisher, Paul G., Fogel, Brent L., Fu, Jiayu, Gahl, William A., Ganetzky, Rebecca, Glanton, Emily, Glass, Ian, Goddard, Page C., Gonzalez, Joanna M., Gropman, Andrea, Halley, Meghan C., Hamid, Rizwan, Hanchard, Neal, Hassey, Kelly, Hayes, Nichole, High, Frances, Hing, Anne, Hisama, Fuki M., Holm, Ingrid A., Hom, Jason, Horike-Pyne, Martha, Huang, Alden, Huang, Yan, Hurst, Anna, Introne, Wendy, Jarvik, Gail P., Jarvik, Jeffrey, Jayadev, Suman, Marie, Orpa Jean, Jobanputra, Vaidehi, Kaitryn, Emerald, Kanca, Oguz, Karasozen, Yigit, Ketkar, Shamika, Kiley, Dana, Kilich, Gonench, Kobren, Shilpa N., Kohane, Isaac S., Kohler, Jennefer N., Korf, Bruce, Korrick, Susan, Krakow, Deborah, Kravets, Elijah, Lalani, Seema R., Lam, Christina, Lanpher, Brendan C., Lanza, Ian R., Latchman, Kumarie, LeBlanc, Kimberly, Lee, Brendan H., Lewis, Richard A., Liu, Pengfei, Longo, Nicola, Loscalzo, Joseph, Maas, Richard L., Macnamara, Ellen F., MacRae, Calum A., Maduro, Valerie V., Maghiro, Audrey Stephannie, Mahoney, Rachel, Malicdan, May Christine V., Mao, Rong, Marom, Ronit, Marth, Gabor, Martin, Beth A., Martin, Martin G., Martínez-Agosto, Julian A., Marwaha, Shruti, McConkie-Rosell, Allyn, McCray, Alexa T., Might, Matthew, Mikati, Mohamad, Miller, Danny, Mirzaa, Ghayda, Morava, Eva, Moretti, Paolo, Morimoto, Marie, Mulvihill, John J., Nakano-Okuno, Mariko, Nelson, Stanley F., Neumann, Serena, Novacic, Donna, Oglesbee, Devin, Orengo, James P., Pace, Laura, Pak, Stephen, Pallais, J. Carl, Parker, Neil H., Peart, LéShon, Petcharet, Leoyklang, Phillips, John A., III, Posey, Jennifer E., Potocki, Lorraine, Pusey Swerdzewski, Barbara N., Quinlan, Aaron, Rajagopalan, Ramakrishnan, Rao, Deepak A., Raper, Anna, Raskind, Wendy, Rebelo, Adriana, Reuter, Chloe M., Rives, Lynette, Robertson, Amy K., Rodan, Lance H., Rodriguez, Martin, Rosenfeld, Jill A., Rosenthal, Elizabeth, Rossignol, Francis, Ruzhnikov, Maura, Sabaii, Marla, Sampson, Jacinda B., Schedl, Timothy, Schoch, Kelly, Scott, Daryl A., Seto, Elaine, Shashi, Vandana, Shelkowitz, Emily, Sheppeard, Sam, Shin, Jimann, Silverman, Edwin K., Sisco, Kathy, Skelton, Tammi, Skraban, Cara, Smith, Carson A., Smith, Kevin S., Solnica-Krezel, Lilianna, Solomon, Ben, Spillmann, Rebecca C., Stergachis, Andrew, Stoler, Joan M., Sullivan, Kathleen, Sutton, Shirley, Sweetser, David A., Sybert, Virginia, Tabor, Holly K., Tan, Queenie K.-G., Tan, Amelia L.M., Tarakad, Arjun, Taylor, Herman, Tekin, Mustafa, Thorson, Willa, Tifft, Cynthia J., Toro, Camilo, Tran, Alyssa A., Ungar, Rachel A., Vanderver, Adeline, Velinder, Matt, Viskochil, Dave, Vogel, Tiphanie P., Wahl, Colleen E., Walker, Melissa, Walley, Nicole M., Wambach, Jennifer, Wangler, Michael F., Ward, Patricia A., Wegner, Daniel, Hubshman, Monika Weisz, Wener, Mark, Wenger, Tara, Westerfield, Monte, Wheeler, Matthew T., Whitlock, Jordan, Wolfe, Lynne A., Wood, Heidi, Worley, Kim, Yamamoto, Shinya, Zhang, Zhe, Zuchner, Stephan, Findley, Laura, Ni, Weihong, Sinsheimer, Janet S., Cole, F. Session, Esteves, Cecilia, Newman, John H., and Mokry, Jill R.
Published: 2024
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9. Dominant missense variants in SREBF2 are associated with complex dermatological, neurological, and skeletal abnormalities

Author: Bacino, Carlos A., Balasubramanyam, Ashok, Burrage, Lindsay C., Chao, Hsiao-Tuan, Chinn, Ivan, Clark, Gary D., Craigen, William J., Dai, Hongzheng, Emrick, Lisa T., Ketkar, Shamika, Lalani, Seema R., Lee, Brendan H., Lewis, Richard A., Marom, Ronit, Orengo, James P., Posey, Jennifer E., Potocki, Lorraine, Rosenfeld, Jill A., Seto, Elaine, Scott, Daryl A., Tarakad, Arjun, Tran, Alyssa A., Vogel, Tiphanie P., Hubshman, Monika Weisz, Worley, Kim, Bellen, Hugo J., Wangler, Michael F., Yamamoto, Shinya, Kanca, Oguz, Eng, Christine M., Liu, Pengfei, Ward, Patricia A., Behrens, Edward, Falk, Marni, Hassey, Kelly, Izumi, Kosuke, Kilich, Gonench, Sullivan, Kathleen, Vanderver, Adeline, Zhang, Zhe, Raper, Anna, Jobanputra, Vaidehi, Mikati, Mohamad, McConkie-Rosell, Allyn, Schoch, Kelly, Shashi, Vandana, Spillmann, Rebecca C., Tan, Queenie K.-G., Walley, Nicole M., Beggs, Alan H., Berry, Gerard T., Briere, Lauren C., Cobban, Laurel A., Coggins, Matthew, Fieg, Elizabeth L., High, Frances, Holm, Ingrid A., Korrick, Susan, Loscalzo, Joseph, Maas, Richard L., MacRae, Calum A., Pallais, J. Carl, Rao, Deepak A., Rodan, Lance H., Silverman, Edwin K., Stoler, Joan M., Sweetser, David A., Walker, Melissa, Douglas, Jessica, Glanton, Emily, Kobren, Shilpa N., Kohane, Isaac S., LeBlanc, Kimberly, Maghiro, Audrey Stephannie C., Mahoney, Rachel, McCray, Alexa T., Tan, Amelia L.M., Dasari, Surendra, Lanpher, Brendan C., Lanza, Ian R., Morava, Eva, Oglesbee, Devin, Bademci, Guney, Barbouth, Deborah, Bivona, Stephanie, Borja, Nicholas, Gonzalez, Joanna M., Latchman, Kumarie, Peart, LéShon, Rebelo, Adriana, Smith, Carson A., Tekin, Mustafa, Thorson, Willa, Zuchner, Stephan, Taylor, Herman, Colley, Heather A., Dayal, Jyoti G., Doss, Argenia L., Eckstein, David J., Hutchison, Sarah, Krasnewich, Donna M., Mamounas, Laura A., Manolio, Teri A., Urv, Tiina K., Acosta, Maria T., D'Souza, Precilla, Gropman, Andrea, Macnamara, Ellen F., Maduro, Valerie V., Mulvihill, John J., Novacic, Donna, Pusey Swerdzewski, Barbara N., Toro, Camilo, Wahl, Colleen E., Adams, David R., Afzali, Ben, Burke, Elizabeth A., Davis, Joie, Delgado, Margaret, Fu, Jiayu, Gahl, William A., Hanchard, Neil, Huang, Yan, Introne, Wendy, Jean-Marie, Orpa, Malicdan, May Christine V., Morimoto, Marie, Petcharet, Leoyklang, Rossignol, Francis, Sabaii, Marla, Solomon, Ben, Tifft, Cynthia J., Wolfe, Lynne A., Wood, Heidi, Allworth, Aimee, Bamshad, Michael, Beck, Anita, Bennett, Jimmy, Blue, Elizabeth, Byers, Peter, Chanprasert, Sirisak, Cunningham, Michael, Dipple, Katrina, Doherty, Daniel, Earl, Dawn, Glass, Ian, Hing, Anne, Hisama, Fuki M., Horike-Pyne, Martha, Jarvik, Gail P., Jarvik, Jeffrey, Jayadev, Suman, Kaitryn, Emerald, Lam, Christina, Miller, Danny, Mirzaa, Ghayda, Raskind, Wendy, Rosenthal, Elizabeth, Shelkowitz, Emily, Sheppeard, Sam, Stergachis, Andrew, Sybert, Virginia, Wener, Mark, Wenger, Tara, Alvarez, Raquel L., Bejerano, Gill, Bernstein, Jonathan A., Bonner, Devon, Coakley, Terra R., Fisher, Paul G., Goddard, Page C., Halley, Meghan C., Hom, Jason, Kohler, Jennefer N., Kravets, Elijah, Martin, Beth A., Marwaha, Shruti, Reuter, Chloe M., Ruzhnikov, Maura, Sampson, Jacinda B., Smith, Kevin S., Sutton, Shirley, Tabor, Holly K., Ungar, Rachel A., Wheeler, Matthew T., Ashley, Euan A., Byrd, William E., Crouse, Andrew B., Might, Matthew, Nakano-Okuno, Mariko, Whitlock, Jordan, Butte, Manish J., Corona, Rosario, Dell'Angelica, Esteban C., Dorrani, Naghmeh, Douine, Emilie D., Fogel, Brent L., Huang, Alden, Krakow, Deborah, Loo, Sandra K., Martin, Martin G., Martínez-Agosto, Julian A., McGee, Elisabeth, Nelson, Stanley F., Nieves-Rodriguez, Shirley, Papp, Jeanette C., Parker, Neil H., Renteria, Genecee, Sinsheimer, Janet S., Wan, Jijun, Alvey, Justin, Andrews, Ashley, Bale, Jim, Bohnsack, John, Botto, Lorenzo, Carey, John, Longo, Nicola, Moretti, Paolo, Pace, Laura, Quinlan, Aaron, Velinder, Matt, Viskochil, Dave, Marth, Gabor, Bayrak-Toydemir, Pinar, Mao, Rong, Westerfield, Monte, Bican, Anna, Cassini, Thomas, Corner, Brian, Hamid, Rizwan, Neumann, Serena, Phillips, John A., III, Rives, Lynette, Robertson, Amy K., Ezell, Kimberly, Cogan, Joy D., Hayes, Nichole, Kiley, Dana, Sisco, Kathy, Wambach, Jennifer, Wegner, Daniel, Baldridge, Dustin, Cole, F. Sessions, Pak, Stephen, Schedl, Timothy, Shin, Jimann, Solnica-Krezel, Lilianna, Moulton, Matthew J., Atala, Kristhen, Zheng, Yiming, Dutta, Debdeep, Grange, Dorothy K., Lin, Wen-Wen, Wegner, Daniel J., Wambach, Jennifer A., Duker, Angela L., Bober, Michael B., Kratz, Lisa, Wise, Carol A., Oxendine, Ila, Khanshour, Anas, and Rios, Jonathan
Published: 2024
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10. Loss of function of FAM177A1, a Golgi complex localized protein, causes a novel neurodevelopmental disorder

Author: Acosta, Maria T., Adam, Margaret, Adams, David R., Alvarez, Raquel L., Alvey, Justin, Amendola, Laura, Andrews, Ashley, Ashley, Euan A., Bacino, Carlos A., Bademci, Guney, Balasubramanyam, Ashok, Baldridge, Dustin, Bale, Jim, Bamshad, Michael, Barbouth, Deborah, Bayrak-Toydemir, Pinar, Beck, Anita, Beggs, Alan H., Behrens, Edward, Bejerano, Gill, Bellen, Hugo J., Bennett, Jimmy, Berg-Rood, Beverly, Bernstein, Jonathan A., Berry, Gerard T., Bican, Anna, Bivona, Stephanie, Blue, Elizabeth, Bohnsack, John, Bonner, Devon, Botto, Lorenzo, Boyd, Brenna, Briere, Lauren C., Burke, Elizabeth A., Burrage, Lindsay C., Butte, Manish J., Byers, Peter, Byrd, William E., Carey, John, Carrasquillo, Olveen, Cassini, Thomas, Chang, Ta Chen Peter, Chanprasert, Sirisak, Chao, Hsiao-Tuan, Chinn, Ivan, Clark, Gary D., Coakley, Terra R., Cobban, Laurel A., Cogan, Joy D., Coggins, Matthew, Sessions Cole, F., Colley, Heather A., Cope, Heidi, Corner, Brian, Corona, Rosario, Craigen, William J., Crouse, Andrew B., Cunningham, Michael, D’Souza, Precilla, Dai, Hongzheng, Dasari, Surendra, Davis, Joie, Dayal, Jyoti G., Dell’Angelica, Esteban C., Dickson, Patricia, Dipple, Katrina, Doherty, Daniel, Dorrani, Naghmeh, Doss, Argenia L., Douine, Emilie D., Earl, Dawn, Eckstein, David J., Emrick, Lisa T., Eng, Christine M., Ezell, Kimberly, Falk, Marni, Fieg, Elizabeth L., Fisher, Paul G., Fogel, Brent L., Forghani, Irman, Gahl, William A., Glass, Ian, Gochuico, Bernadette, Goddard, Page C., Godfrey, Rena A., Golden-Grant, Katie, Grajewski, Alana, Hadley, Don, Hahn, Sihoun, Halley, Meghan C., Hamid, Rizwan, Hassey, Kelly, Hayes, Nichole, High, Frances, Hing, Anne, Hisama, Fuki M., Holm, Ingrid A., Hom, Jason, Horike-Pyne, Martha, Huang, Alden, Hutchison, Sarah, Introne, Wendy, Isasi, Rosario, Izumi, Kosuke, Jamal, Fariha, Jarvik, Gail P., Jarvik, Jeffrey, Jayadev, Suman, Jean-Marie, Orpa, Jobanputra, Vaidehi, Karaviti, Lefkothea, Ketkar, Shamika, Kiley, Dana, Kilich, Gonench, Kobren, Shilpa N., Kohane, Isaac S., Kohler, Jennefer N., Korrick, Susan, Kozuira, Mary, Krakow, Deborah, Krasnewich, Donna M., Kravets, Elijah, Lalani, Seema R., Lam, Byron, Lam, Christina, Lanpher, Brendan C., Lanza, Ian R., LeBlanc, Kimberly, Lee, Brendan H., Levitt, Roy, Lewis, Richard A., Liu, Pengfei, Liu, Xue Zhong, Longo, Nicola, Loo, Sandra K., Loscalzo, Joseph, Maas, Richard L., Macnamara, Ellen F., MacRae, Calum A., Maduro, Valerie V., Maghiro, AudreyStephannie, Mahoney, Rachel, Malicdan, May Christine V., Mamounas, Laura A., Manolio, Teri A., Mao, Rong, Maravilla, Kenneth, Marom, Ronit, Marth, Gabor, Martin, Beth A., Martin, Martin G., Martínez-Agosto, Julian A., Marwaha, Shruti, McCauley, Jacob, McConkie-Rosell, Allyn, McCray, Alexa T., McGee, Elisabeth, Mefford, Heather, Lawrence Merritt, J., Might, Matthew, Mirzaa, Ghayda, Morava, Eva, Moretti, Paolo, Mulvihill, John, Nakano-Okuno, Mariko, Nelson, Stanley F., Neumann, Serena, Newman, John H., Nicholas, Sarah K., Nickerson, Deborah, Nieves-Rodriguez, Shirley, Novacic, Donna, Oglesbee, Devin, Orengo, James P., Pace, Laura, Pak, Stephen, Carl Pallais, J., Palmer, Christina G.S., Papp, Jeanette C., Parker, Neil H., Phillips, John A., III, Posey, Jennifer E., Potocki, Lorraine, Pusey Swerdzewski, Barbara N., Quinlan, Aaron, Rao, Deepak A., Raper, Anna, Raskind, Wendy, Renteria, Genecee, Reuter, Chloe M., Rives, Lynette, Robertson, Amy K., Rodan, Lance H., Rosenfeld, Jill A., Rosenwasser, Natalie, Rossignol, Francis, Ruzhnikov, Maura, Sacco, Ralph, Sampson, Jacinda B., Saporta, Mario, Schaechter, Judy, Schedl, Timothy, Schoch, Kelly, Scott, Daryl A., Ron Scott, C., Seto, Elaine, Shashi, Vandana, Shin, Jimann, Silverman, Edwin K., Sinsheimer, Janet S., Sisco, Kathy, Smith, Edward C., Smith, Kevin S., Solnica-Krezel, Lilianna, Solomon, Ben, Spillmann, Rebecca C., Stoler, Joan M., Sullivan, Kathleen, Sullivan, Jennifer A., Sun, Angela, Sutton, Shirley, Sweetser, David A., Sybert, Virginia, Tabor, Holly K., Tan, Queenie K.-G., Tan, Amelia L.M., Tarakad, Arjun, Tekin, Mustafa, Telischi, Fred, Thorson, Willa, Tifft, Cynthia J., Toro, Camilo, Tran, Alyssa A., Ungar, Rachel A., Urv, Tiina K., Vanderver, Adeline, Velinder, Matt, Viskochil, Dave, Vogel, Tiphanie P., Wahl, Colleen E., Walker, Melissa, Wallace, Stephanie, Walley, Nicole M., Wambach, Jennifer, Wan, Jijun, Wangler, Michael F., Ward, Patricia A., Wegner, Daniel, Hubshman, Monika Weisz, Wener, Mark, Wenger, Tara, Westerfield, Monte, Wheeler, Matthew T., Whitlock, Jordan, Wolfe, Lynne A., Worley, Kim, Xiao, Changrui, Yamamoto, Shinya, Yang, John, Zhang, Zhe, Zuchner, Stephan, Legro, Nicole R., Bowman, Angela, Ugur, Berrak, Jackstadt, Madelyn M., Shriver, Leah P., Patti, Gary J., Zhang, Bo, Feng, Wenjia, McAdow, Anthony R., Goddard, Pagé, Jensen, Tanner, Fresard, Laure, Alvarez, Raquel, McCormack, Colleen, Holt, James M., Worthey, Elizabeth A., Montgomery, Stephen B., Postlethwait, John, De Camilli, Pietro, and Solnica-Krezel, Lila
Published: 2024
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11. Computational tools for assessing gene therapy under branching process models of mutation

Author: Stutz, Timothy C, Sinsheimer, Janet S., Sehl, Mary, and Xu, Jason
Subjects: Quantitative Biology - Populations and Evolution, Mathematics - Numerical Analysis, Statistics - Computation
Abstract: Multitype branching processes are ideal for studying the population dynamics of stem cell populations undergoing mutation accumulation over the years following transplant. In such stochastic models, several quantities are of clinical interest as insertional mutagenesis carries the potential threat of leukemogenesis following gene therapy with autologous stem cell transplantation. In this paper, we develop a three-type branching process model describing accumulations of mutations in a population of stem cells distinguished by their ability for long-term self-renewal. Our outcome of interest is the appearance of a double-mutant cell, which carries a high potential for leukemic transformation. In our model, a single-hit mutation carries a slight proliferative advantage over a wild-type stem cells. We compute marginalized transition probabilities that allow us to capture important quantitative aspects of our model, including the probability of observing a double-hit mutant and relevant moments of a single-hit mutation population over time. We thoroughly explore the model behavior numerically, varying birth rates across the initial sizes and populations of wild type stem cells and single-hit mutants, and compare the probability of observing a double-hit mutant under these conditions. We find that increasing the number of single-mutants over wild-type particles initially present has a large effect on the occurrence of a double-mutant, and that it is relatively safe for single-mutants to be quite proliferative, provided the lentiviral gene addition avoids creating single mutants in the original insertion process. Our approach is broadly applicable to an important set of questions in cancer modeling and other population processes involving multiple stages, compartments, or types., Comment: 19 pages, 5 figures
Published: 2021

12. Exome and genome sequencing in a heterogeneous population of patients with rare disease: Identifying predictors of a diagnosis

Author: Acosta, Maria T., Adams, David R., Alvarez, Raquel L., Alvey, Justin, Allworth, Aimee, Andrews, Ashley, Ashley, Euan A., Bacino, Carlos A., Bademci, Guney, Balasubramanyam, Ashok, Baldridge, Dustin, Bale, Jim, Bamshad, Michael, Barbouth, Deborah, Bayrak-Toydemir, Pinar, Beck, Anita, Beggs, Alan H., Behrens, Edward, Bejerano, Gill, Bellen, Hugo J., Bennett, Jimmy, Bernstein, Jonathan A., Berry, Gerard T., Bican, Anna, Bivona, Stephanie, Blue, Elizabeth, Bohnsack, John, Bonner, Devon, Botto, Lorenzo, Briere, Lauren C., Brown, Gabrielle, Burke, Elizabeth A., Burrage, Lindsay C., Butte, Manish J., Byers, Peter, Byrd, William E., Carey, John, Carrasquillo, Olveen, Cassini, Thomas, Peter Chang, Ta Chen, Chanprasert, Sirisak, Chao, Hsiao-Tuan, Chinn, Ivan, Clark, Gary D., Coakley, Terra R., Cobban, Laurel A., Cogan, Joy D., Coggins, Matthew, Cole, F. Sessions, Colley, Heather A., Cope, Heidi, Corona, Rosario, Craigen, William J., Crouse, Andrew B., Cunningham, Michael, D’Souza, Precilla, Dai, Hongzheng, Dasari, Surendra, Davis, Joie, Dayal, Jyoti G., Dell'Angelica, Esteban C., Dipple, Katrina, Doherty, Daniel, Dorrani, Naghmeh, Doss, Argenia L., Douine, Emilie D., Earl, Dawn, Eckstein, David J., Emrick, Lisa T., Eng, Christine M., Falk, Marni, Fieg, Elizabeth L., Fisher, Paul G., Fogel, Brent L., Forghani, Irman, Gahl, William A., Glass, Ian, Gochuico, Bernadette, Goddard, Page C., Godfrey, Rena A., Grajewski, Alana, Hadley, Don, Halley, Meghan C., Hamid, Rizwan, Hassey, Kelly, Hayes, Nichole, High, Frances, Hing, Anne, Hisama, Fuki M., Holm, Ingrid A., Hom, Jason, Horike-Pyne, Martha, Huang, Alden, Hutchison, Sarah, Introne, Wendy, Isasi, Rosario, Izumi, Kosuke, Jarvik, Gail P., Jarvik, Jeffrey, Jayadev, Suman, Jean-Marie, Orpa, Jobanputra, Vaidehi, Kaitryn, Emerald, Ketkar, Shamika, Kiley, Dana, Kilich, Gonench, Kobren, Shilpa N., Kohane, Isaac S., Kohler, Jennefer N., Korrick, Susan, Krakow, Deborah, Krasnewich, Donna M., Kravets, Elijah, Lalani, Seema R., Lam, Byron, Lam, Christina, Lanpher, Brendan C., Lanza, Ian R., LeBlanc, Kimberly, Lee, Brendan H., Levitt, Roy, Lewis, Richard A., Liu, Pengfei, Liu, Xue Zhong, Longo, Nicola, Loo, Sandra K., Loscalzo, Joseph, Maas, Richard L., Macnamara, Ellen F., MacRae, Calum A., Maduro, Valerie V., Maghiro, AudreyStephannie, Mahoney, Rachel, Malicdan, May Christine V., Mamounas, Laura A., Manolio, Teri A., Mao, Rong, Marom, Ronit, Marth, Gabor, Martin, Beth A., Martin, Martin G., Martínez-Agosto, Julian A., Marwaha, Shruti, McCauley, Jacob, McConkie-Rosell, Allyn, McCray, Alexa T., McGee, Elisabeth, Might, Matthew, Miller, Danny, Mirzaa, Ghayda, Morava, Eva, Moretti, Paolo, Mulvihill, John J., Nakano-Okuno, Mariko, Nelson, Stanley F., Nieves-Rodriguez, Shirley, Novacic, Donna, Oglesbee, Devin, Orengo, James P., Pace, Laura, Pak, Stephen, Pallais, J. Carl, Palmer, Christina G.S., Papp, Jeanette C., Parker, Neil H., Phillips, John A., III, Posey, Jennifer E., Potocki, Lorraine, Pusey Swerdzewski, Barbara N., Quinlan, Aaron, Rao, Deepak A., Raper, Anna, Raskind, Wendy, Renteria, Genecee, Reuter, Chloe M., Rives, Lynette, Robertson, Amy K., Rodan, Lance H., Rosenfeld, Jill A., Rosenthal, Elizabeth, Rossignol, Francis, Ruzhnikov, Maura, Sacco, Ralph, Sampson, Jacinda B., Saporta, Mario, Schaechter, Judy, Schedl, Timothy, Schoch, Kelly, Scott, Daryl A., Seto, Elaine, Shashi, Vandana, Shelkowitz, Emily, Sheppeard, Sam, Shin, Jimann, Silverman, Edwin K., Sinsheimer, Janet S., Sisco, Kathy, Smith, Edward C., Smith, Kevin S., Solnica-Krezel, Lilianna, Solomon, Ben, Spillmann, Rebecca C., Stergachis, Andrew, Stoler, Joan M., Sullivan, Kathleen, Sullivan, Jennifer A., Sutton, Shirley, Sweetser, David A., Sybert, Virginia, Tabor, Holly K., Tan, Queenie K.-G., Tan, Amelia L.M., Tarakad, Arjun, Tekin, Mustafa, Telischi, Fred, Thorson, Willa, Tifft, Cynthia J., Toro, Camilo, Tran, Alyssa A., Ungar, Rachel A., Urv, Tiina K., Vanderver, Adeline, Velinder, Matt, Viskochil, Dave, Vogel, Tiphanie P., Wahl, Colleen E., Walker, Melissa, Walley, Nicole M., Wambach, Jennifer, Wan, Jijun, Wang, Lee-kai, Wangler, Michael F., Ward, Patricia A., Wegner, Daniel, Hubshman, Monika Weisz, Wener, Mark, Wenger, Tara, Westerfield, Monte, Wheeler, Matthew T., Whitlock, Jordan, Wolfe, Lynne A., Worley, Kim, Xiao, Changrui, Yamamoto, Shinya, Yang, John, Zhang, Zhe, Zuchner, Stephan, Pucel, Jenna, Reuter, Chloe, and Gochyyev, Perman
Published: 2024
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13. Increased body mass index is linked to systemic inflammation through altered chromatin co-accessibility in human preadipocytes

Author: Garske, Kristina M., Kar, Asha, Comenho, Caroline, Balliu, Brunilda, Pan, David Z., Bhagat, Yash V., Rosenberg, Gregory, Koka, Amogha, Das, Sankha Subhra, Miao, Zong, Sinsheimer, Janet S., Kaprio, Jaakko, Pietiläinen, Kirsi H., and Pajukanta, Päivi
Published: 2023
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14. GWAS of longitudinal trajectories at biobank scale

Author: Ko, Seyoon, German, Christopher A, Jensen, Aubrey, Shen, Judong, Wang, Anran, Mehrotra, Devan V, Sun, Yan V, Sinsheimer, Janet S, Zhou, Hua, and Zhou, Jin J
Subjects: Epidemiology, Biological Sciences, Health Sciences, Genetics, Prevention, Human Genome, Diabetes, Generic health relevance, Good Health and Well Being, Biological Specimen Banks, Biomarkers, Cross-Sectional Studies, Electronic Health Records, Genome-Wide Association Study, Humans, Longitudinal Studies, biobank, biomarkers, disease progression, electronic medical records, longitudinal, trend, variations, within-subject variability, Medical and Health Sciences, Genetics & Heredity, Biological sciences, Biomedical and clinical sciences, Health sciences
Abstract: Biobanks linked to massive, longitudinal electronic health record (EHR) data make numerous new genetic research questions feasible. One among these is the study of biomarker trajectories. For example, high blood pressure measurements over visits strongly predict stroke onset, and consistently high fasting glucose and Hb1Ac levels define diabetes. Recent research reveals that not only the mean level of biomarker trajectories but also their fluctuations, or within-subject (WS) variability, are risk factors for many diseases. Glycemic variation, for instance, is recently considered an important clinical metric in diabetes management. It is crucial to identify the genetic factors that shift the mean or alter the WS variability of a biomarker trajectory. Compared to traditional cross-sectional studies, trajectory analysis utilizes more data points and captures a complete picture of the impact of time-varying factors, including medication history and lifestyle. Currently, there are no efficient tools for genome-wide association studies (GWASs) of biomarker trajectories at the biobank scale, even for just mean effects. We propose TrajGWAS, a linear mixed effect model-based method for testing genetic effects that shift the mean or alter the WS variability of a biomarker trajectory. It is scalable to biobank data with 100,000 to 1,000,000 individuals and many longitudinal measurements and robust to distributional assumptions. Simulation studies corroborate that TrajGWAS controls the type I error rate and is powerful. Analysis of eleven biomarkers measured longitudinally and extracted from UK Biobank primary care data for more than 150,000 participants with 1,800,000 observations reveals loci that significantly alter the mean or WS variability.
Published: 2022

15. De novo variants in DENND5B cause a neurodevelopmental disorder

Author: Acosta, Maria T., Adams, David R., Alvarez, Raquel L., Alvey, Justin, Allworth, Aimee, Andrews, Ashley, Ashley, Euan A., Afzali, Ben, Bacino, Carlos A., Bademci, Guney, Balasubramanyam, Ashok, Baldridge, Dustin, Bale, Jim, Bamshad, Michael, Barbouth, Deborah, Bayrak-Toydemir, Pinar, Beck, Anita, Beggs, Alan H., Behrens, Edward, Bejerano, Gill, Bellen, Hugo J., Bennett, Jimmy, Bernstein, Jonathan A., Berry, Gerard T., Bican, Anna, Bivona, Stephanie, Blue, Elizabeth, Bohnsack, John, Bonner, Devon, Botto, Lorenzo, Briere, Lauren C., Brown, Gabrielle, Burke, Elizabeth A., Burrage, Lindsay C., Butte, Manish J., Byers, Peter, Byrd, William E., Carey, John, Carrasquillo, Olveen, Cassini, Thomas, Chang, Ta Chen Peter, Chanprasert, Sirisak, Chao, HsiaoTuan, Chinn, Ivan, Clark, Gary D., Coakley, Terra R., Cobban, Laurel A., Cogan, Joy D., Coggins, Matthew, Cole, F. Sessions, Colley, Heather A., Cope, Heidi, Corona, Rosario, Craigen, William J., Crouse, Andrew B., Cunningham, Michael, D’Souza, Precilla, Dai, Hongzheng, Dasari, Surendra, Davis, Joie, Dayal, Jyoti G., Delgado, Margaret, Dell'Angelica, Esteban C., Dipple, Katrina, Doherty, Daniel, Dorrani, Naghmeh, Doss, Argenia L., Douine, Emilie D., Earl, Dawn, Eckstein, David J., Emrick, Lisa T., Eng, Christine M., Falk, Marni, Fieg, Elizabeth L., Fisher, Paul G., Fogel, Brent L., Forghani, Irman, Fu, Jiayu, Gahl, William A., Glass, Ian, Goddard, Page C., Godfrey, Rena A., Grajewski, Alana, Gropman, Andrea, Halley, Meghan C., Hamid, Rizwan, Hanchard, Neal, Hassey, Kelly, Hayes, Nichole, High, Frances, Hing, Anne, Hisama, Fuki M., Holm, Ingrid A., Hom, Jason, Horike-Pyne, Martha, Huang, Alden, Huang, Yan, Hutchison, Sarah, Introne, Wendy, Isasi, Rosario, Izumi, Kosuke, Jarvik, Gail P., Jarvik, Jeffrey, Jayadev, Suman, Jean-Marie, Orpa, Jobanputra, Vaidehi, Kaitryn, Emerald, Ketkar, Shamika, Kiley, Dana, Kilich, Gonench, Kobren, Shilpa N., Kohane, Isaac S., Kohler, Jennefer N., Korrick, Susan, Krakow, Deborah, Krasnewich, Donna M., Kravets, Elijah, Lalani, Seema R., Lam, Byron, Lam, Christina, Lanpher, Brendan C., Lanza, Ian R., LeBlanc, Kimberly, Lee, Brendan H., Levitt, Roy, Lewis, Richard A., Liu, Pengfei, Liu, Xue Zhong, Longo, Nicola, Loo, Sandra K., Loscalzo, Joseph, Maas, Richard L., Macnamara, Ellen F., MacRae, Calum A., Maduro, Valerie V., Maghiro, AudreyStephannie, Mahoney, Rachel, Malicdan, May Christine V., Mamounas, Laura A., Manolio, Teri A., Mao, Rong, Marom, Ronit, Marth, Gabor, Martin, Beth A., Martin, Martin G., Martínez-Agosto, Julian A., Marwaha, Shruti, McCauley, Jacob, McConkie-Rosell, Allyn, McCray, Alexa T., McGee, Elisabeth, Might, Matthew, Miller, Danny, Mirzaa, Ghayda, Morava, Eva, Moretti, Paolo, Morimoto, Marie, Mulvihill, John J., Nakano-Okuno, Mariko, Nelson, Stanley F., Nieves-Rodriguez, Shirley, Novacic, Donna, Oglesbee, Devin, Orengo, James P., Pace, Laura, Pak, Stephen, Pallais, J. Carl, Papp, Jeanette C., Parker, Neil H., Petcharet, Leoyklang, Phillips, John A., III, Posey, Jennifer E., Potocki, Lorraine, Swerdzewski, Barbara N. Pusey, Quinlan, Aaron, Rao, Deepak A., Raper, Anna, Raskind, Wendy, Renteria, Genecee, Reuter, Chloe M., Rives, Lynette, Robertson, Amy K., Rodan, Lance H., Rosenfeld, Jill A., Rosenthal, Elizabeth, Rossignol, Francis, Ruzhnikov, Maura, Sabaii, Marla, Sacco, Ralph, Sampson, Jacinda B., Saporta, Mario, Schaechter, Judy, Schedl, Timothy, Schoch, Kelly, Scott, Daryl A., Seto, Elaine, Sharma, Prashant, Shashi, Vandana, Shelkowitz, Emily, Sheppeard, Sam, Shin, Jimann, Silverman, Edwin K., Sinsheimer, Janet S., Sisco, Kathy, Smith, Edward C., Smith, Kevin S., Solnica-Krezel, Lilianna, Solomon, Ben, Spillmann, Rebecca C., Stergachis, Andrew, Stoler, Joan M., Sullivan, Kathleen, Sullivan, Jennifer A., Sutton, Shirley, Sweetser, David A., Sybert, Virginia, Tabor, Holly K., Tan, Queenie K.-G., Tan, Amelia L.M., Tarakad, Arjun, Taylor, Herman, Tekin, Mustafa, Telischi, Fred, Thorson, Willa, Tifft, Cynthia J., Toro, Camilo, Tran, Alyssa A., Ungar, Rachel A., Urv, Tiina K., Vanderver, Adeline, Velinder, Matt, Viskochil, Dave, Vogel, Tiphanie P., Wahl, Colleen E., Walker, Melissa, Walley, Nicole M., Wambach, Jennifer, Wan, Jijun, Wang, Lee-kai, Wangler, Michael F., Ward, Patricia A., Wegner, Daniel, Weisz Hubshman, Monika, Wener, Mark, Wenger, Tara, Westerfield, Monte, Wheeler, Matthew T., Whitlock, Jordan, Wolfe, Lynne A., Worley, Kim, Yamamoto, Shinya, Zhang, Zhe, Zuchner, Stephan, Scala, Marcello, Tomati, Valeria, Ferla, Matteo, Lena, Mariateresa, Cohen, Julie S., Fatemi, Ali, Brokamp, Elly, Koziura, Mary E., Nicouleau, Michael, Rio, Marlene, Siquier, Karine, Boddaert, Nathalie, Musante, Ilaria, Tamburro, Serena, Baldassari, Simona, Iacomino, Michele, Scudieri, Paolo, Bellus, Gary, Reed, Sara, Al Saif, Hind, Russo, Rossana Sanchez, Walsh, Matthew B., Cantagrel, Vincent, Crunk, Amy, Gustincich, Stefano, Ruggiero, Sarah M., Fitzgerald, Mark P., Helbig, Ingo, Striano, Pasquale, Severino, Mariasavina, Salpietro, Vincenzo, Pedemonte, Nicoletta, and Zara, Federico
Published: 2024
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16. A fast data-driven method for genotype imputation, phasing and local ancestry inference: MendelImpute.jl

Author: Chu, Benjamin B, Sobel, Eric M, Wasiolek, Rory, Ko, Seyoon, Sinsheimer, Janet S, Zhou, Hua, and Lange, Kenneth
Subjects: Biological Sciences, Bioinformatics and Computational Biology, Genetics, Mathematical Sciences, Statistics, Genotype, Software, Haplotypes, Polymorphism, Single Nucleotide, Data Compression, Information and Computing Sciences, Bioinformatics, Biological sciences, Information and computing sciences, Mathematical sciences
Abstract: MotivationCurrent methods for genotype imputation and phasing exploit the volume of data in haplotype reference panels and rely on hidden Markov models (HMMs). Existing programs all have essentially the same imputation accuracy, are computationally intensive and generally require prephasing the typed markers.ResultsWe introduce a novel data-mining method for genotype imputation and phasing that substitutes highly efficient linear algebra routines for HMM calculations. This strategy, embodied in our Julia program MendelImpute.jl, avoids explicit assumptions about recombination and population structure while delivering similar prediction accuracy, better memory usage and an order of magnitude or better run-times compared to the fastest competing method. MendelImpute operates on both dosage data and unphased genotype data and simultaneously imputes missing genotypes and phase at both the typed and untyped SNPs (single nucleotide polymorphisms). Finally, MendelImpute naturally extends to global and local ancestry estimation and lends itself to new strategies for data compression and hence faster data transport and sharing.Availability and implementationSoftware, documentation and scripts to reproduce our results are available from https://github.com/OpenMendel/MendelImpute.jl.Supplementary informationSupplementary data are available at Bioinformatics online.
Published: 2021

17. Serum lipids are associated with nonalcoholic fatty liver disease: a pilot case-control study in Mexico

Author: Flores, Yvonne N, Amoon, Aryana T, Su, Baolong, Velazquez-Cruz, Rafael, Ramírez-Palacios, Paula, Salmerón, Jorge, Rivera-Paredez, Berenice, Sinsheimer, Janet S, Lusis, Aldons J, Huertas-Vazquez, Adriana, Saab, Sammy, Glenn, Beth A, May, Folasade P, Williams, Kevin J, Bastani, Roshan, and Bensinger, Steven J
Subjects: Medical Biochemistry and Metabolomics, Biomedical and Clinical Sciences, Nutrition, Chronic Liver Disease and Cirrhosis, Women's Health, Clinical Research, Liver Disease, Digestive Diseases, Biomedical Imaging, Obesity, 2.1 Biological and endogenous factors, Oral and gastrointestinal, Adult, Aged, Biomarkers, Case-Control Studies, Cholesterol, Cohort Studies, Female, Humans, Lipidomics, Lysophosphatidylcholines, Male, Mexico, Middle Aged, Non-alcoholic Fatty Liver Disease, ROC Curve, Sphingomyelins, Triglycerides, Triacylglycerol desaturation, Nonalcoholic fatty liver disease, NAFLD, Latinos, Mexican, Cross-sectional study, Other Information and Computing Sciences, Nutrition and Dietetics, Nutrition & Dietetics, Medical biochemistry and metabolomics, Nutrition and dietetics
Abstract: BackgroundNonalcoholic fatty liver disease (NAFLD) is a leading cause of chronic liver disease and cirrhosis. NAFLD is mediated by changes in lipid metabolism and known risk factors include obesity, metabolic syndrome, and diabetes. The aim of this study was to better understand differences in the lipid composition of individuals with NAFLD compared to controls, by performing direct infusion lipidomics on serum biospecimens from a cohort study of adults in Mexico.MethodsA nested case-control study was conducted with a sample of 98 NAFLD cases and 100 healthy controls who are participating in an on-going, longitudinal study in Mexico. NAFLD cases were clinically confirmed using elevated liver enzyme tests and liver ultrasound or liver ultrasound elastography, after excluding alcohol abuse, and 100 controls were identified as having at least two consecutive normal alanine aminotransferase (ALT) and aspartate aminotransferase (AST) (
Published: 2021

18. Modern simulation utilities for genetic analysis

Author: Ji, Sarah S, German, Christopher A, Lange, Kenneth, Sinsheimer, Janet S, Zhou, Hua, Zhou, Jin, and Sobel, Eric M
Subjects: Biological Sciences, Genetics, Networking and Information Technology R&D (NITRD), Generic health relevance, Aged, Cloud Computing, Computer Simulation, Genetic Testing, Humans, Pedigree, Phenotype, Trait simulation, Realistic genetic models, Power, Statistical genetics, Mathematical Sciences, Information and Computing Sciences, Bioinformatics, Biological sciences, Information and computing sciences, Mathematical sciences
Abstract: BackgroundStatistical geneticists employ simulation to estimate the power of proposed studies, test new analysis tools, and evaluate properties of causal models. Although there are existing trait simulators, there is ample room for modernization. For example, most phenotype simulators are limited to Gaussian traits or traits transformable to normality, while ignoring qualitative traits and realistic, non-normal trait distributions. Also, modern computer languages, such as Julia, that accommodate parallelization and cloud-based computing are now mainstream but rarely used in older applications. To meet the challenges of contemporary big studies, it is important for geneticists to adopt new computational tools.ResultsWe present TraitSimulation, an open-source Julia package that makes it trivial to quickly simulate phenotypes under a variety of genetic architectures. This package is integrated into our OpenMendel suite for easy downstream analyses. Julia was purpose-built for scientific programming and provides tremendous speed and memory efficiency, easy access to multi-CPU and GPU hardware, and to distributed and cloud-based parallelization. TraitSimulation is designed to encourage flexible trait simulation, including via the standard devices of applied statistics, generalized linear models (GLMs) and generalized linear mixed models (GLMMs). TraitSimulation also accommodates many study designs: unrelateds, sibships, pedigrees, or a mixture of all three. (Of course, for data with pedigrees or cryptic relationships, the simulation process must include the genetic dependencies among the individuals.) We consider an assortment of trait models and study designs to illustrate integrated simulation and analysis pipelines. Step-by-step instructions for these analyses are available in our electronic Jupyter notebooks on Github. These interactive notebooks are ideal for reproducible research.ConclusionThe TraitSimulation package has three main advantages. (1) It leverages the computational efficiency and ease of use of Julia to provide extremely fast, straightforward simulation of even the most complex genetic models, including GLMs and GLMMs. (2) It can be operated entirely within, but is not limited to, the integrated analysis pipeline of OpenMendel. And finally (3), by allowing a wider range of more realistic phenotype models, TraitSimulation brings power calculations and diagnostic tools closer to what investigators might see in real-world analyses.
Published: 2021

19. Increased Menopausal Age Reduces the Risk of Parkinson's Disease: A Mendelian Randomization Approach

Author: Kusters, Cynthia DJ, Paul, Kimberly C, Folle, Aline Duarte, Keener, Adrienne M, Bronstein, Jeff M, Bertram, Lars, Hansen, Johnni, Horvath, Steve, Sinsheimer, Janet S, Lill, Christina M, and Ritz, Beate R
Subjects: Biomedical and Clinical Sciences, Neurosciences, Clinical Sciences, Clinical Research, Estrogen, Aging, Neurodegenerative, Genetics, Contraception/Reproduction, Parkinson's Disease, Prevention, Human Genome, Brain Disorders, Aetiology, 2.1 Biological and endogenous factors, 2.3 Psychological, social and economic factors, Neurological, Female, Genome-Wide Association Study, Humans, Male, Mendelian Randomization Analysis, Menopause, Parkinson Disease, Polymorphism, Single Nucleotide, Risk Factors, Parkinson's disease, females, menopause, menarche, Mendelian randomization, Human Movement and Sports Sciences, Neurology & Neurosurgery, Clinical sciences
Abstract: BackgroundStudies of Parkinson's disease (PD) and the association with age at menarche or menopause have reported inconsistent findings. Mendelian randomization (MR) may address measurement errors because of difficulties accurately reporting the age these life events occur.ObjectiveWe used MR to assess the association between age at menopause and age at menarche with PD risk.MethodsWe performed inverse variant-weighted (IVW) MR analysis using external genome-wide association study (GWAS) summary data from the United Kingdom biobank, and the effect estimates between genetic variants and PD among two population-based studies (Parkinson's disease in Denmark (PASIDA) study, Denmark, and Parkinson's Environment and Gene study [PEG], United States) that enrolled 1737 female and 2430 male subjects of European ancestry. We, then, replicated our findings for age at menopause using summary statistics from the PD consortium (19 773 women), followed by a meta-analysis combining all summary statistics.ResultsFor each year increase in age at menopause, the risk for PD decreased (odds ration [OR], 0.84; 95% confidence interval [CI], 0.73-0.98; P = 0.03) among women in our study, whereas there was no association among men (OR, 0.98; 95% CI, 0.85-1.11; P = 0.71). A replication using summary statistics from the PD consortium estimated an OR of 0.94 (95% CI, 0.90-0.99; P = 0.01), and we calculated a meta-analytic OR of 0.93 (95% CI, 0.89-0.98; P = 0.003). There was no indication for an association between age at menarche and PD (OR, 0.75; 95% CI, 0.44-1.29; P = 0.29).ConclusionsA later age at menopause was associated with a decreased risk of PD in women, supporting the hypothesis that sex hormones or other factors related to late menopause may be neuroprotective in PD. © 2021 International Parkinson and Movement Disorder Society.
Published: 2021

20. Biallelic CRELD1 variants cause a multisystem syndrome, including neurodevelopmental phenotypes, cardiac dysrhythmias, and frequent infections

Author: Borras, Silvia, Clark, Caroline, Dean, John, Miedzybrodzka, Zosia, Ross, Alison, Tennant, Stephen, Dabir, Tabib, Donnelly, Deirdre, Humphreys, Mervyn, Magee, Alex, McConnell, Vivienne, McKee, Shane, McNerlan, Susan, Morrison, Patrick J., Rea, Gillian, Stewart, Fiona, Cole, Trevor, Cooper, Nicola, Cooper-Charles, Lisa, Cox, Helen, Islam, Lily, Jarvis, Joanna, Keelagher, Rebecca, Lim, Derek, McMullan, Dominic, Morton, Jenny, Naik, Swati, O’Driscoll, Mary, Ong, Kai-Ren, Osio, Deborah, Ragge, Nicola, Turton, Sarah, Vogt, Julie, Williams, Denise, Bodek, Simon, Donaldson, Alan, Hills, Alison, Low, Karen, Newbury-Ecob, Ruth, Norman, Andrew M., Roberts, Eileen, Scurr, Ingrid, Smithson, Sarah, Tooley, Madeleine, Abbs, Steve, Armstrong, Ruth, Dunn, Carolyn, Holden, Simon, Park, Soo-Mi, Paterson, Joan, Raymond, Lucy, Reid, Evan, Sandford, Richard, Simonic, Ingrid, Tischkowitz, Marc, Woods, Geoff, Bradley, Lisa, Comerford, Joanne, Green, Andrew, Lynch, Sally, McQuaid, Shirley, Mullaney, Brendan, Berg, Jonathan, Goudie, David, Mavrak, Eleni, McLean, Joanne, McWilliam, Catherine, Reavey, Eleanor, Azam, Tara, Cleary, Elaine, Jackson, Andrew, Lam, Wayne, Lampe, Anne, Moore, David, Porteous, Mary, Baple, Emma, Baptista, Júlia, Brewer, Carole, Castle, Bruce, Kivuva, Emma, Owens, Martina, Rankin, Julia, Shaw-Smith, Charles, Turner, Claire, Turnpenny, Peter, Tysoe, Carolyn, Bradley, Therese, Davidson, Rosemarie, Gardiner, Carol, Joss, Shelagh, Kinning, Esther, Longman, Cheryl, McGowan, Ruth, Murday, Victoria, Pilz, Daniela, Tobias, Edward, Whiteford, Margo, Williams, Nicola, Barnicoat, Angela, Clement, Emma, Faravelli, Francesca, Hurst, Jane, Jenkins, Lucy, Jones, Wendy, Ajith Kumar, V.K., Lees, Melissa, Loughlin, Sam, Male, Alison, Morrogh, Deborah, Rosser, Elisabeth, Scott, Richard, Wilson, Louise, Beleza, Ana, Deshpande, Charu, Flinter, Frances, Holder, Muriel, Irving, Melita, Izatt, Louise, Josifova, Dragana, Mohammed, Shehla, Molenda, Aneta, Robert, Leema, Roworth, Wendy, Ruddy, Deborah, Ryten, Mina, Yau, Shu, Bennett, Christopher, Blyth, Moira, Campbell, Jennifer, Coates, Andrea, Dobbie, Angus, Hewitt, Sarah, Hobson, Emma, Jackson, Eilidh, Jewell, Rosalyn, Kraus, Alison, Prescott, Katrina, Sheridan, Eamonn, Thomson, Jenny, Bradshaw, Kirsty, Dixit, Abhijit, Eason, Jacqueline, Haines, Rebecca, Harrison, Rachel, Mutch, Stacey, Sarkar, Ajoy, Searle, Claire, Shannon, Nora, Sharif, Abid, Suri, Mohnish, Vasudevan, Pradeep, Canham, Natalie, Ellis, Ian, Greenhalgh, Lynn, Howard, Emma, Stinton, Victoria, Swale, Andrew, Weber, Astrid, Banka, Siddharth, Breen, Catherine, Briggs, Tracy, Burkitt-Wright, Emma, Chandler, Kate, Clayton-Smith, Jill, Donnai, Dian, Douzgou, Sofia, Gaunt, Lorraine, Jones, Elizabeth, Kerr, Bronwyn, Langley, Claire, Metcalfe, Kay, Smith, Audrey, Wright, Ronnie, Bourn, David, Burn, John, Fisher, Richard, Hellens, Steve, Henderson, Alex, Montgomery, Tara, Splitt, Miranda, Straub, Volker, Wright, Michael, Zwolinski, Simon, Allen, Zoe, Bernhard, Birgitta, Brady, Angela, Brooks, Claire, Busby, Louise, Clowes, Virginia, Ghali, Neeti, Holder, Susan, Ibitoye, Rita, Wakeling, Emma, Blair, Edward, Carmichael, Jenny, Cilliers, Deirdre, Clasper, Susan, Gibbons, Richard, Kini, Usha, Lester, Tracy, Nemeth, Andrea, Poulton, Joanna, Price, Sue, Shears, Debbie, Stewart, Helen, Wilkie, Andrew, Albaba, Shadi, Baker, Duncan, Balasubramanian, Meena, Johnson, Diana, Parker, Michael, Quarrell, Oliver, Stewart, Alison, Willoughby, Josh, Crosby, Charlene, Elmslie, Frances, Homfray, Tessa, Jin, Huilin, Lahiri, Nayana, Mansour, Sahar, Marks, Karen, McEntagart, Meriel, Saggar, Anand, Tatton-Brown, Kate, Butler, Rachel, Clarke, Angus, Corrin, Sian, Fry, Andrew, Kamath, Arveen, McCann, Emma, Mugalaasi, Hood, Pottinger, Caroline, Procter, Annie, Sampson, Julian, Sansbury, Francis, Varghese, Vinod, Baralle, Diana, Callaway, Alison, Cassidy, Emma J., Daniels, Stacey, Douglas, Andrew, Foulds, Nicola, Hunt, David, Kharbanda, Mira, Lachlan, Katherine, Mercer, Catherine, Side, Lucy, Temple, I. Karen, Wellesley, Diana, Ambrose, J.C., Arumugam, P., Baple, E.L., Bleda, M., Boardman-Pretty, F., Boissiere, J.M., Boustred, C.R., Caulfield, M.J., Chan, G.C., Craig, C.E.H., Daugherty, L.C., de Burca, A., Devereau, A., Elgar, G., Foulger, R.E., Fowler, T., FurióTarí, P., Hackett, J.M., Halai, D., Hamblin, A., Henderson, S., Holman, J.E., Hubbard, T.J.P., Ibáñez, K., Jackson, R., Jones, L.J., Kasperaviciute, D., Kayikci, M., Lahnstein, L., Lawson, K., Leigh, S.E.A., Leong, I.U.S., Lopez, F.J., MaleadyCrowe, F., Mason, J., McDonagh, E.M., Moutsianas, L., Mueller, M., Murugaesu, N., Need, A.C., Odhams, C.A., Patch, C., Perez-Gil, D., Polychronopoulos, D., Pullinger, J., Rahim, T., Rendon, A., Riesgo-Ferreiro, P., Rogers, T., Ryten, M., Savage, K., Sawant, K., Scott, R.H., Siddiq, A., Sieghart, A., Smedley, D., Smith, K.R., Sosinsky, A., Spooner, W., Stevens, H.E., Stuckey, A., Sultana, R., Thomas, E.R.A., Thompson, S.R., Tucci, A., Walsh, E., Watters, S.A., Welland, M.J., Williams, E., Witkowska, K., Acosta, Maria T., Adam, Margaret, Adams, David R., Agrawal, Pankaj B., Alejandro, Mercedes E., Alvey, Justin, Amendola, Laura, Andrews, Ashley, Ashley, Euan A., Azamian, Mahshid S., Bacino, Carlos A., Bademci, Guney, Baker, Eva, Balasubramanyam, Ashok, Baldridge, Dustin, Bale, Jim, Bamshad, Michael, Barbouth, Deborah, Bayrak-Toydemir, Pinar, Beck, Anita, Beggs, Alan H., Behrens, Edward, Bejerano, Gill, Bennet, Jimmy, Berg-Rood, Beverly, Bernstein, Jonathan A., Berry, Gerard T., Bican, Anna, Bivona, Stephanie, Blue, Elizabeth, Bohnsack, John, Bonnenmann, Carsten, Bonner, Devon, Botto, Lorenzo, Boyd, Brenna, Briere, Lauren C., Brokamp, Elly, Brown, Gabrielle, Burke, Elizabeth A., Burrage, Lindsay C., Butte, Manish J., Byers, Peter, Byrd, William E., Carey, John, Carrasquillo, Olveen, Peter Chang, Ta Chen, Chanprasert, Sirisak, Chao, Hsiao-Tuan, Clark, Gary D., Coakley, Terra R., Cobban, Laurel A., Cogan, Joy D., Coggins, Matthew, Cole, F. Sessions, Colley, Heather A., Cooper, Cynthia M., Craigen, William J., Crouse, Andrew B., Cunningham, Michael, D'Souza, Precilla, Dai, Hongzheng, Dasari, Surendra, Davids, Mariska, Dayal, Jyoti G., Deardorff, Matthew, Dell'Angelica, Esteban C., Dhar, Shweta U., Dipple, Katrina, Doherty, Daniel, Dorrani, Naghmeh, Douine, Emilie D., Draper, David D., Duncan, Laura, Earl, Dawn, Eckstein, David J., Emrick, Lisa T., Eng, Christine M., Esteves, Cecilia, Estwick, Tyra, Falk, Marni, Fernandez, Liliana, Ferreira, Carlos, Fieg, Elizabeth L., Findley, Laurie C., Fisher, Paul G., Fogel, Brent L., Forghani, Irman, Fresard, Laure, Gahl, William A., Glass, Ian, Godfrey, Rena A., Golden-Grant, Katie, Goldman, Alica M., Goldstein, David B., Grajewski, Alana, Groden, Catherine A., Gropman, Andrea L., Gutierrez, Irma, Hahn, Sihoun, Hamid, Rizwan, Hanchard, Neil A., Hassey, Kelly, Hayes, Nichole, High, Frances, Hing, Anne, Hisama, Fuki M., Holm, Ingrid A., Hom, Jason, Horike-Pyne, Martha, Huang, Alden, Huang, Yong, Isasi, Rosario, Jamal, Fariha, Jarvik, Gail P., Jarvik, Jeffrey, Jayadev, Suman, Johnston, Jean M., Karaviti, Lefkothea, Kelley, Emily G., Kennedy, Jennifer, Kiley, Dana, Kohane, Isaac S., Kohler, Jennefer N., Krakow, Deborah, Krasnewich, Donna M., Kravets, Elijah, Korrick, Susan, Koziura, Mary, Krier, Joel B., Lalani, Seema R., Lam, Byron, Lam, Christina, Lanpher, Brendan C., Lanza, Ian R., Lau, C. Christopher, LeBlanc, Kimberly, Lee, Brendan H., Lee, Hane, Levitt, Roy, Lewis, Richard A., Lincoln, Sharyn A., Liu, Pengfei, Liu, Xue Zhong, Longo, Nicola, Loo, Sandra K., Loscalzo, Joseph, Maas, Richard L., Macnamara, Ellen F., MacRae, Calum A., Maduro, Valerie V., Majcherska, Marta M., Mak, Bryan, Malicdan, May Christine V., Mamounas, Laura A., Manolio, Teri A., Mao, Rong, Maravilla, Kenneth, Markello, Thomas C., Marom, Ronit, Marth, Gabor, Martin, Beth A., Martin, Martin G., Martínez-Agosto, Julian A., Marwaha, Shruti, McCauley, Jacob, McCormack, Colleen E., McCray, Alexa T., McGee, Elisabeth, Mefford, Heather, Merritt, J. Lawrence, Might, Matthew, Mirzaa, Ghayda, Morava, Eva, Moretti, Paolo M., Morimoto, Marie, Mulvihill, John J., Murdock, David R., Nakano-Okuno, Mariko, Nath, Avi, Nelson, Stan F., Newman, John H., Nicholas, Sarah K., Nickerson, Deborah, Nieves-Rodriguez, Shirley, Novacic, Donna, Oglesbee, Devin, Orengo, James P., Pace, Laura, Pak, Stephen, Pallais, J. Carl, Papp, Jeanette C., Parker, Neil H., Phillips, John A., Posey, Jennifer E., Potocki, Lorraine, Pusey, Barbara N., Quinlan, Aaron, Raskind, Wendy, Raja, Archana N., Rao, Deepak A., Renteria, Genecee, Reuter, Chloe M., Rives, Lynette, Robertson, Amy K., Rodan, Lance H., Rosenfeld, Jill A., Rosenwasser, Natalie, Ruzhnikov, Maura, Sacco, Ralph, Sampson, Jacinda B., Samson, Susan L., Saporta, Mario, Scott, C. Ron, Schaechter, Judy, Schedl, Timothy, Scott, Daryl A., Sharma, Prashant, Shin, Jimann, Signer, Rebecca, Sillari, Catherine H., Silverman, Edwin K., Sinsheimer, Janet S., Sisco, Kathy, Smith, Edward C., Smith, Kevin S., Solem, Emily, Solnica-Krezel, Lilianna, Stoler, Joan M., Stong, Nicholas, Sullivan, Jennifer A., Sun, Angela, Sutton, Shirley, Sweetser, David A., Sybert, Virginia, Tabor, Holly K., Tamburro, Cecelia P., Tekin, Mustafa, Telischi, Fred, Thorson, Willa, Tifft, Cynthia J., Toro, Camilo, Tran, Alyssa A., Tucker, Brianna M., Urv, Tiina K., Vanderver, Adeline, Velinder, Matt, Viskochil, Dave, Vogel, Tiphanie P., Wahl, Colleen E., Wallace, Stephanie, Walley, Nicole M., Walsh, Chris A., Walker, Melissa, Wambach, Jennifer, Wan, Jijun, Wang, Lee-Kai, Wangler, Michael F., Ward, Patricia A., Wegner, Daniel, Wener, Mark, Wenger, Tara, Perry, Katherine Wesseling, Westerfield, Monte, Wheeler, Matthew T., Whitlock, Jordan, Wolfe, Lynne A., Woods, Jeremy D., Yamamoto, Shinya, Yang, John, Yu, Guoyun, Zastrow, Diane B., Zhao, Chunli, Zuchner, Stephan, Jeffries, Lauren, Mis, Emily K., McWalter, Kirsty, Donkervoort, Sandra, Brodsky, Nina N., Carpier, Jean-Marie, Ji, Weizhen, Ionita, Cristian, Roy, Bhaskar, Morrow, Jon S., Darbinyan, Armine, Iyer, Krishna, Aul, Ritu B., Chao, Katherine R., Cobbold, Laura, Cohen, Stacey, Custodio, Helena M., Drummond-Borg, Margaret, Finanger, Erika, Hainline, Bryan E., Helbig, Ingo, Hewson, Stacy, Hu, Ying, Jackson, Adam, Konstantino, Monica, Leach, Meganne E., McCormick, David, Nelson, Stanley, Nguyen, Joanne, Nugent, Kimberly, Ortega, Lucy, Goodkin, Howard P., Roeder, Elizabeth, Roy, Sani, Sapp, Katie, Saade, Dimah, Sisodiya, Sanjay M., Stals, Karen, Towner, Shelley, Wilson, William, Khokha, Mustafa K., Bönnemann, Carsten G., Lucas, Carrie L., and Lakhani, Saquib A.
Published: 2024
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21. A syndromic neurodevelopmental disorder caused by rare variants in PPFIA3

Author: Acosta, Maria T., Adam, Margaret, Adams, David R., Alvarez, Raquel L., Alvey, Justin, Amendola, Laura, Andrews, Ashley, Ashley, Euan A., Bacino, Carlos A., Bademci, Guney, Balasubramanyam, Ashok, Baldridge, Dustin, Bale, Jim, Bamshad, Michael, Barbouth, Deborah, Bayrak-Toydemir, Pinar, Beck, Anita, Beggs, Alan H., Behrens, Edward, Bejerano, Gill, Bellen, Hugo J., Bennett, Jimmy, Berg-Rood, Beverly, Bernstein, Jonathan A., Berry, Gerard T., Bican, Anna, Bivona, Stephanie, Blue, Elizabeth, Bohnsack, John, Bonner, Devon, Botto, Lorenzo, Boyd, Brenna, Briere, Lauren C., Brown, Gabrielle, Burke, Elizabeth A., Burrage, Lindsay C., Butte, Manish J., Byers, Peter, Byrd, William E., Carey, John, Carrasquillo, Olveen, Cassini, Thomas, Chang, Ta Chen Peter, Chanprasert, Sirisak, Chao, Hsiao-Tuan, Chinn, Ivan, Clark, Gary D., Coakley, Terra R., Cobban, Laurel A., Cogan, Joy D., Coggins, Matthew, Cole, F. Sessions, Colley, Heather A., Cope, Heidi, Corona, Rosario, Craigen, William J., Crouse, Andrew B., Cunningham, Michael, D’Souza, Precilla, Dai, Hongzheng, Dasari, Surendra, Davis, Joie, Dayal, Jyoti G., Dell'Angelica, Esteban C., Dipple, Katrina, Doherty, Daniel, Dorrani, Naghmeh, Doss, Argenia L., Douine, Emilie D., Earl, Dawn, Eckstein, David J., Emrick, Lisa T., Eng, Christine M., Falk, Marni, Fieg, Elizabeth L., Fisher, Paul G., Fogel, Brent L., Forghani, Irman, Gahl, William A., Glass, Ian, Gochuico, Bernadette, Goddard, Page C., Godfrey, Rena A., Golden-Grant, Katie, Grajewski, Alana, Hadley, Don, Hahn, Sihoun, Halley, Meghan C., Hamid, Rizwan, Hassey, Kelly, Hayes, Nichole, High, Frances, Hing, Anne, Hisama, Fuki M., Holm, Ingrid A., Hom, Jason, Horike-Pyne, Martha, Huang, Alden, Hutchison, Sarah, Introne, Wendy, Isasi, Rosario, Izumi, Kosuke, Jamal, Fariha, Jarvik, Gail P., Jarvik, Jeffrey, Jayadev, Suman, Jean-Marie, Orpa, Jobanputra, Vaidehi, Karaviti, Lefkothea, Ketkar, Shamika, Kiley, Dana, Kilich, Gonench, Kobren, Shilpa N., Kohane, Isaac S., Kohler, Jennefer N., Korrick, Susan, Kozuira, Mary, Krakow, Deborah, Krasnewich, Donna M., Kravets, Elijah, Lalani, Seema R., Lam, Byron, Lam, Christina, Lanpher, Brendan C., Lanza, Ian R., LeBlanc, Kimberly, Lee, Brendan H., Levitt, Roy, Lewis, Richard A., Liu, Pengfei, Liu, Xue Zhong, Longo, Nicola, Loo, Sandra K., Loscalzo, Joseph, Maas, Richard L., Macnamara, Ellen F., MacRae, Calum A., Maduro, Valerie V., Maghiro, Audrey Stephannie, Mahoney, Rachel, Malicdan, May Christine V., Mamounas, Laura A., Manolio, Teri A., Mao, Rong, Maravilla, Kenneth, Marom, Ronit, Marth, Gabor, Martin, Beth A., Martin, Martin G., Martínez-Agosto, Julian A., Marwaha, Shruti, McCauley, Jacob, McConkie-Rosell, Allyn, McCray, Alexa T., McGee, Elisabeth, Mefford, Heather, Merritt, J. Lawrence, Might, Matthew, Mirzaa, Ghayda, Morava, Eva, Moretti, Paolo, Mulvihill, John, Nakano-Okuno, Mariko, Nelson, Stanley F., Newman, John H., Nicholas, Sarah K., Nickerson, Deborah, Nieves-Rodriguez, Shirley, Novacic, Donna, Oglesbee, Devin, Orengo, James P., Pace, Laura, Pak, Stephen, Pallais, J. Carl, Palmer, Christina G.S., Papp, Jeanette C., Parker, Neil H., Phillips III, John A., Posey, Jennifer E., Potocki, Lorraine, Pusey Swerdzewski, Barbara N., Quinlan, Aaron, Rao, Deepak A., Raper, Anna, Raskind, Wendy, Renteria, Genecee, Reuter, Chloe M., Rives, Lynette, Robertson, Amy K., Rodan, Lance H., Rosenfeld, Jill A., Rosenwasser, Natalie, Rossignol, Francis, Ruzhnikov, Maura, Sacco, Ralph, Sampson, Jacinda B., Saporta, Mario, Schaechter, Judy, Schedl, Timothy, Schoch, Kelly, Scott, Daryl A., Scott, C. Ron, Seto, Elaine, Shashi, Vandana, Shin, Jimann, Silverman, Edwin K., Sinsheimer, Janet S., Sisco, Kathy, Smith, Edward C., Smith, Kevin S., Solnica-Krezel, Lilianna, Solomon, Ben, Spillmann, Rebecca C., Stoler, Joan M., Sullivan, Kathleen, Sullivan, Jennifer A., Sun, Angela, Sutton, Shirley, Sweetser, David A., Sybert, Virginia, Tabor, Holly K., Tan, Queenie K.-G., Tan, Amelia L.M., Tarakad, Arjun, Tekin, Mustafa, Telischi, Fred, Thorson, Willa, Tifft, Cynthia J., Toro, Camilo, Tran, Alyssa A., Ungar, Rachel A., Urv, Tiina K., Vanderver, Adeline, Velinder, Matt, Viskochil, Dave, Vogel, Tiphanie P., Wahl, Colleen E., Walker, Melissa, Wallace, Stephanie, Walley, Nicole M., Wambach, Jennifer, Wan, Jijun, Wang, Lee-kai, Wangler, Michael F., Ward, Patricia A., Wegner, Daniel, Weisz Hubshman, Monika, Wener, Mark, Wenger, Tara, Westerfield, Monte, Wheeler, Matthew T., Whitlock, Jordan, Wolfe, Lynne A., Worley, Kim, Xiao, Changrui, Yamamoto, Shinya, Yang, John, Zhang, Zhe, Zuchner, Stephan, Paul, Maimuna S., Michener, Sydney L., Pan, Hongling, Chan, Hiuling, Pfliger, Jessica M., Lerma, Vanesa C., Tran, Alyssa, Longley, Megan A., Weisz-Hubshman, Monika, Bekheirnia, Mir Reza, Bekheirnia, Nasim, Massingham, Lauren, Zech, Michael, Wagner, Matias, Engels, Hartmut, Cremer, Kirsten, Mangold, Elisabeth, Peters, Sophia, Trautmann, Jessica, Perne, Claudia, Mester, Jessica L., Guillen Sacoto, Maria J., Person, Richard, McDonnell, Pamela P., Cohen, Stacey R., Lusk, Laina, Cohen, Ana S.A., Le Pichon, Jean-Baptiste, Pastinen, Tomi, Zhou, Dihong, Engleman, Kendra, Racine, Caroline, Faivre, Laurence, Moutton, Sébastien, Denommé-Pichon, Anne-Sophie, Koh, Hyun Yong, Poduri, Annapurna, Bolton, Jeffrey, Knopp, Cordula, Julia Suh, Dong Sun, Maier, Andrea, Toosi, Mehran Beiraghi, Karimiani, Ehsan Ghayoor, Maroofian, Reza, Schaefer, Gerald Bradley, Ramakumaran, Vijayalakshmi, Vasudevan, Pradeep, Banos-Pinero, Benito, Pagnamenta, Alistair T., Prasad, Chitra, Osmond, Matthew, Schuhmann, Sarah, Vasileiou, Georgia, Russ-Hall, Sophie, Scheffer, Ingrid E., and Carvill, Gemma L.
Published: 2024
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22. Identification of TBX15 as an adipose master trans regulator of abdominal obesity genes.

Author: Pan, David Z, Miao, Zong, Comenho, Caroline, Rajkumar, Sandhya, Koka, Amogha, Lee, Seung Hyuk T, Alvarez, Marcus, Kaminska, Dorota, Ko, Arthur, Sinsheimer, Janet S, Mohlke, Karen L, Mancuso, Nicholas, Muñoz-Hernandez, Linda Liliana, Herrera-Hernandez, Miguel, Tusié-Luna, Maria Teresa, Aguilar-Salinas, Carlos, Pietiläinen, Kirsi H, Pihlajamäki, Jussi, Laakso, Markku, Garske, Kristina M, and Pajukanta, Päivi
Subjects: Master transcription factor, Polygenic risk score, Trans regulation of genes, Transcriptional regulation of abdominal obesity, Type 2 diabetes, Waist-hip ratio adjusted for body mass index, Genetics, Clinical Sciences
Abstract: BackgroundObesity predisposes individuals to multiple cardiometabolic disorders, including type 2 diabetes (T2D). As body mass index (BMI) cannot reliably differentiate fat from lean mass, the metabolically detrimental abdominal obesity has been estimated using waist-hip ratio (WHR). Waist-hip ratio adjusted for body mass index (WHRadjBMI) in turn is a well-established sex-specific marker for abdominal fat and adiposity, and a predictor of adverse metabolic outcomes, such as T2D. However, the underlying genes and regulatory mechanisms orchestrating the sex differences in obesity and body fat distribution in humans are not well understood.MethodsWe searched for genetic master regulators of WHRadjBMI by employing integrative genomics approaches on human subcutaneous adipose RNA sequencing (RNA-seq) data (n ~ 1400) and WHRadjBMI GWAS data (n ~ 700,000) from the WHRadjBMI GWAS cohorts and the UK Biobank (UKB), using co-expression network, transcriptome-wide association study (TWAS), and polygenic risk score (PRS) approaches. Finally, we functionally verified our genomic results using gene knockdown experiments in a human primary cell type that is critical for adipose tissue function.ResultsHere, we identified an adipose gene co-expression network that contains 35 obesity GWAS genes and explains a significant amount of polygenic risk for abdominal obesity and T2D in the UKB (n = 392,551) in a sex-dependent way. We showed that this network is preserved in the adipose tissue data from the Finnish Kuopio Obesity Study and Mexican Obesity Study. The network is controlled by a novel adipose master transcription factor (TF), TBX15, a WHRadjBMI GWAS gene that regulates the network in trans. Knockdown of TBX15 in human primary preadipocytes resulted in changes in expression of 130 network genes, including the key adipose TFs, PPARG and KLF15, which were significantly impacted (FDR < 0.05), thus functionally verifying the trans regulatory effect of TBX15 on the WHRadjBMI co-expression network.ConclusionsOur study discovers a novel key function for the TBX15 TF in trans regulating an adipose co-expression network of 347 adipose, mitochondrial, and metabolically important genes, including PPARG, KLF15, PPARA, ADIPOQ, and 35 obesity GWAS genes. Thus, based on our converging genomic, transcriptional, and functional evidence, we interpret the role of TBX15 to be a main transcriptional regulator in the adipose tissue and discover its importance in human abdominal obesity.
Published: 2021

23. Family genetic result communication in rare and undiagnosed disease communities: Understanding the practice.

Author: Studwell, Courtney M, Kelley, Emily G, Undiagnosed Diseases Network, Sinsheimer, Janet S, Palmer, Christina GS, and LeBlanc, Kimberly
Subjects: Undiagnosed Diseases Network, Humans, Communication, Family, Parents, Genetic Counseling, Adult, Genetic Testing, Undiagnosed Diseases, communication, family, family communication, genetic counseling, genetic results, undiagnosed disease, Clinical Research, Genetics, Clinical Sciences, Genetics & Heredity
Abstract: Genetic results have implications not only for the individual, but also for their family members. Research on family communication of genetic results has primarily focused on families affected by adult-onset, dominant conditions as well as more common genetic conditions such as familial hypercholesterolemia, cardiomyopathies, and genetic hearing loss. This study therefore aimed to characterize genetic result communication in families with rare and undiagnosed conditions and identify factors that influence communication. One hundred and forty-two individuals who received a diagnosis from the Undiagnosed Diseases Network (UDN), a study focused on providing diagnoses to individuals with undiagnosed conditions, were eligible to complete a survey assessing genetic results communication. Survey items assessed if communication was discussed with healthcare providers, with whom participants communicated genetic testing, why they chose to communicate with these family members, and what information they communicated. All respondents (5 adult UDN participants, 38 parents/guardians of UDN participants, and 2 identifying as both) shared genetic results with at least one family member. Individuals who identified as both were considered exclusively adult participants for the purpose of these analyses. Adult participants and parents/guardians of participants reported high levels of understanding (96%), utility (96%), and comfort communicating genetic results (89%). Additionally, parents/guardians were more likely to disclose genetic results due to a general desire to share (60% of parents/guardians vs. 14% adult participants), while adult participants reported that they shared results to communicate risk to family members (86% of adult participants vs. 24% of parents/guardians). Many respondents did not recall discussing with a healthcare provider how (64%) or what (42%) to communicate about results. The results of this study provide insight into the practice of result communication by individuals with rare and previously undiagnosed conditions, which can ideally inform development of more effective counseling strategies and guidelines to aid family communication.
Published: 2021

24. Genomics Research with Undiagnosed Children: Ethical Challenges at the Boundaries of Research and Clinical Care

Author: Acosta, Maria T., Adam, Margaret, Adams, David R., Alvarez, Raquel L., Alvey, Justin, Amendola, Laura, Andrews, Ashley, Bacino, Carlos A., Bademci, Guney, Balasubramanyam, Ashok, Baldridge, Dustin, Bale, Jim, Bamshad, Michael, Barbouth, Deborah, Bayrak-Toydemir, Pinar, Beck, Anita, Beggs, Alan H., Behrens, Edward, Bejerano, Gill, Bellen, Hugo J., Bennett, Jimmy, Berg-Rood, Beverly, Bernstein, Jonathan A., Berry, Gerard T., Bican, Anna, Bivona, Stephanie, Blue, Elizabeth, Bohnsack, John, Bonner, Devon, Botto, Lorenzo, Boyd, Brenna, Briere, Lauren C., Brown, Gabrielle, Burke, Elizabeth A., Burrage, Lindsay C., Butte, Manish J., Byers, Peter, Byrd, William E., Carey, John, Carrasquillo, Olveen, Cassini, Thomas, Peter Chang, Ta Chen, Chanprasert, Sirisak, Chao, Hsiao-Tuan, Chinn, Ivan, Clark, Gary D., Coakley, Terra R., Cobban, Laurel A., Cogan, Joy D., Coggins, Matthew, Sessions Cole, F., Colley, Heather A., Cope, Heidi, Corona, Rosario, Craigen, William J., Crouse, Andrew B., Cunningham, Michael, D'Souza, Precilla, Dai, Hongzheng, Dasari, Surendra, Davis, Joie, Dayal, Jyoti G., Dell'Angelica, Esteban C., Dickson, Patricia, Dipple, Katrina, Doherty, Daniel, Dorrani, Naghmeh, Doss, Argenia L., Douine, Emilie D., Earl, Dawn, Eckstein, David J., Emrick, Lisa T., Eng, Christine M., Falk, Marni, Fieg, Elizabeth L., Fisher, Paul G., Fogel, Brent L., Forghani, Irman, Gahl, William A., Glass, Ian, Gochuico, Bernadette, Goddard, Page C., Godfrey, Rena A., Golden-Grant, Katie, Grajewski, Alana, Hadley, Don, Hahn, Sihoun, Hamid, Rizwan, Hassey, Kelly, Hayes, Nichole, High, Frances, Hing, Anne, Hisama, Fuki M., Holm, Ingrid A., Hom, Jason, Horike-Pyne, Martha, Huang, Alden, Hutchison, Sarah, Introne, Wendy, Isasi, Rosario, Izumi, Kosuke, Jarvik, Gail P., Jarvik, Jeffrey, Jayadev, Suman, Jean-Marie, Orpa, Jobanputra, Vaidehi, Ketkar, Shamika, Kiley, Dana, Kilich, Gonench, Kobren, Shilpa N., Kohane, Isaac S., Kohler, Jennefer N., Korrick, Susan, Kozuira, Mary, Krakow, Deborah, Krasnewich, Donna M., Kravets, Elijah, Lalani, Seema R., Lam, Byron, Lam, Christina, Lanpher, Brendan C., Lanza, Ian R., LeBlanc, Kimberly, Lee, Brendan H., Levitt, Roy, Lewis, Richard A., Liu, Pengfei, Liu, Xue Zhong, Longo, Nicola, Loo, Sandra K., Loscalzo, Joseph, Maas, Richard L., Macnamara, Ellen F., MacRae, Calum A., Maduro, Valerie V., Mahoney, Rachel, Malicdan, May Christine V., Mamounas, Laura A., Manolio, Teri A., Mao, Rong, Maravilla, Kenneth, Marom, Ronit, Marth, Gabor, Martin, Beth A., Martin, Martin G., Martínez-Agosto, Julian A., Marwaha, Shruti, McCauley, Jacob, McConkie-Rosell, Allyn, McCray, Alexa T., McGee, Elisabeth, Mefford, Heather, Merritt, J. Lawrence, Might, Matthew, Mirzaa, Ghayda, Morava, Eva, Moretti, Paolo, Mulvihill, John J., Nakano-Okuno, Mariko, Nelson, Stanley F., Newman, John H., Nickerson, Deborah, Nieves-Rodriguez, Shirley, Novacic, Donna, Oglesbee, Devin, Orengo, James P., Pace, Laura, Pak, Stephen, Carl Pallais, J., Palmer, Christina G.S., Papp, Jeanette C., Parker, Neil H., Phillips, John A., III, Posey, Jennifer E., Potocki, Lorraine, Pusey Swerdzewski, Barbara N., Quinlan, Aaron, Rao, Deepak A., Raper, Anna, Raskind, Wendy, Renteria, Genecee, Reuter, Chloe M., Rives, Lynette, Robertson, Amy K., Rodan, Lance H., Rosenfeld, Jill A., Rosenwasser, Natalie, Rossignol, Francis, Ruzhnikov, Maura, Sacco, Ralph, Sampson, Jacinda B., Saporta, Mario, Schaechter, Judy, Schedl, Timothy, Schoch, Kelly, Scott, Daryl A., Scott, C. Ron, Seto, Elaine, Shashi, Vandana, Shin, Jimann, Silverman, Edwin K., Sinsheimer, Janet S., Sisco, Kathy, Smith, Edward C., Smith, Kevin S., Solnica-Krezel, Lilianna, Solomon, Ben, Spillmann, Rebecca C., Stoler, Joan M., Sullivan, Kathleen, Sullivan, Jennifer A., Sun, Angela, Sutton, Shirley, Sweetser, David A., Sybert, Virginia, Tan, Queenie K.-G., Tan, Amelia L.M., Tarakad, Arjun, Tekin, Mustafa, Telischi, Fred, Thorson, Willa, Tifft, Cynthia J., Toro, Camilo, Tran, Alyssa A., Ungar, Rachel A., Urv, Tiina K., Vanderver, Adeline, Velinder, Matt, Viskochil, Dave, Vogel, Tiphanie P., Wahl, Colleen E., Walker, Melissa, Wallace, Stephanie, Walley, Nicole M., Wambach, Jennifer, Wan, Jijun, Wang, Lee-kai, Wangler, Michael F., Ward, Patricia A., Wegner, Daniel, Hubshman, Monika Weisz, Wener, Mark, Wenger, Tara, Westerfield, Monte, Wheeler, Matthew T., Whitlock, Jordan, Wolfe, Lynne A., Worley, Kim, Xiao, Changrui, Yamamoto, Shinya, Yang, John, Zhang, Zhe, Zuchner, Stephan, Halley, Meghan C., Young, Jennifer L., Tang, Charis, Mintz, Kevin T., Lucas-Griffin, Sawyer, Maghiro, AudreyStephannie, Ashley, Euan A., and Tabor, Holly K.
Published: 2023
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25. Biallelic variants in ribonuclease inhibitor (RNH1), an inflammasome modulator, are associated with a distinctive subtype of acute, necrotizing encephalopathy

Author: Acosta, Maria T., Adam, Margaret, Adams, David R., Alvarez, Raquel L., Alvey, Justin, Amendola, Laura, Andrews, Ashley, Ashley, Euan A., Bacino, Carlos A., Bademci, Guney, Balasubramanyam, Ashok, Baldridge, Dustin, Bale, Jim, Bamshad, Michael, Barbouth, Deborah, Bayrak-Toydemir, Pinar, Beck, Anita, Beggs, Alan H., Behrens, Edward, Bejerano, Gill, Bellen, Hugo J., Bennett, Jimmy, Berg-Rood, Beverly, Bernstein, Jonathan A., Berry, Gerard T., Bican, Anna, Bivona, Stephanie, Blue, Elizabeth, Bohnsack, John, Bonner, Devon, Botto, Lorenzo, Boyd, Brenna, Briere, Lauren C., Brown, Gabrielle, Burke, Elizabeth A., Burrage, Lindsay C., Butte, Manish J., Byers, Peter, Byrd, William E., Carey, John, Carrasquillo, Olveen, Cassini, Thomas, Peter Chang, Ta Chen, Chanprasert, Sirisak, Chao, Hsiao-Tuan, Chinn, Ivan, Clark, Gary D., Coakley, Terra R., Cobban, Laurel A., Cogan, Joy D., Coggins, Matthew, Cole, F. Sessions, Colley, Heather A., Cope, Heidi, Corona, Rosario, Craigen, William J., Crouse, Andrew B., Cunningham, Michael, D’Souza, Precilla, Dai, Hongzheng, Dasari, Surendra, Davis, Joie, Dayal, Jyoti G., Dell'Angelica, Esteban C., Dickson, Patricia, Dipple, Katrina, Doherty, Daniel, Dorrani, Naghmeh, Doss, Argenia L., Douine, Emilie D., Earl, Dawn, Eckstein, David J., Emrick, Lisa T., Eng, Christine M., Falk, Marni, Fieg, Elizabeth L., Fisher, Paul G., Fogel, Brent L., Forghani, Irman, Gahl, William A., Glass, Ian, Gochuico, Bernadette, Goddard, Page C., Godfrey, Rena A., Golden-Grant, Katie, Grajewski, Alana, Hadley, Don, Hahn, Sihoun, Halley, Meghan C., Hamid, Rizwan, Hassey, Kelly, Hayes, Nichole, High, Frances, Hing, Anne, Hisama, Fuki M., Holm, Ingrid A., Hom, Jason, Horike-Pyne, Martha, Huang, Alden, Hutchison, Sarah, Introne, Wendy, Isasi, Rosario, Izumi, Kosuke, Jamal, Fariha, Jarvik, Gail P., Jarvik, Jeffrey, Jayadev, Suman, Jean-Marie, Orpa, Jobanputra, Vaidehi, Karaviti, Lefkothea, Ketkar, Shamika, Kiley, Dana, Kilich, Gonench, Kobren, Shilpa N., Kohane, Isaac S., Kohler, Jennefer N., Korrick, Susan, Kozuira, Mary, Krakow, Deborah, Krasnewich, Donna M., Kravets, Elijah, Lalani, Seema R., Lam, Byron, Lam, Christina, Lanpher, Brendan C., Lanza, Ian R., LeBlanc, Kimberly, Lee, Brendan H., Levitt, Roy, Lewis, Richard A., Liu, Pengfei, Liu, Xue Zhong, Longo, Nicola, Loo, Sandra K., Loscalzo, Joseph, Maas, Richard L., Macnamara, Ellen F., MacRae, Calum A., Maduro, Valerie V., Maghiro, Audrey Stephannie, Mahoney, Rachel, Malicdan, May Christine V., Mamounas, Laura A., Manolio, Teri A., Mao, Rong, Maravilla, Kenneth, Marom, Ronit, Marth, Gabor, Martin, Beth A., Martin, Martin G., Martínez-Agosto, Julian A., Marwaha, Shruti, McCauley, Jacob, McConkie-Rosell, Allyn, McCray, Alexa T., McGee, Elisabeth, Mefford, Heather, Merritt, J. Lawrence, Might, Matthew, Mirzaa, Ghayda, Morava, Eva, Moretti, Paolo, Mulvihill, John, Nakano-Okuno, Mariko, Nelson, Stanley F., Newman, John H., Nicholas, Sarah K., Nickerson, Deborah, Nieves-Rodriguez, Shirley, Novacic, Donna, Oglesbee, Devin, Orengo, James P., Pace, Laura, Pak, Stephen, Pallais, J. Carl, Palmer, Christina G.S., Papp, Jeanette C., Parker, Neil H., Phillips, John A., III, Posey, Jennifer E., Potocki, Lorraine, Pusey Swerdzewski, Barbara N., Quinlan, Aaron, Rao, Deepak A., Raper, Anna, Raskind, Wendy, Renteria, Genecee, Reuter, Chloe M., Rives, Lynette, Robertson, Amy K., Rodan, Lance H., Rosenfeld, Jill A., Rosenwasser, Natalie, Rossignol, Francis, Ruzhnikov, Maura, Sacco, Ralph, Sampson, Jacinda B., Saporta, Mario, Schaechter, Judy, Schedl, Timothy, Schoch, Kelly, Scott, Daryl A., Scott, C. Ron, Seto, Elaine, Shashi, Vandana, Shin, Jimann, Silverman, Edwin K., Sinsheimer, Janet S., Sisco, Kathy, Smith, Edward C., Smith, Kevin S., Solnica-Krezel, Lilianna, Solomon, Ben, Spillmann, Rebecca C., Stoler, Joan M., Sullivan, Kathleen, Sullivan, Jennifer A., Sun, Angela, Sutton, Shirley, Sweetser, David A., Sybert, Virginia, Tabor, Holly K., Tan, Queenie K.-G., Tan, Amelia L.M., Tarakad, Arjun, Tekin, Mustafa, Telischi, Fred, Thorson, Willa, Tifft, Cynthia J., Toro, Camilo, Tran, Alyssa A., Ungar, Rachel A., Urv, Tiina K., Vanderver, Adeline, Velinder, Matt, Viskochil, Dave, Vogel, Tiphanie P., Wahl, Colleen E., Walker, Melissa, Wallace, Stephanie, Walley, Nicole M., Wambach, Jennifer, Wan, Jijun, Wang, Lee-kai, Wangler, Michael F., Ward, Patricia A., Wegner, Daniel, Hubshman, Monika Weisz, Wener, Mark, Wenger, Tara, Westerfield, Monte, Wheeler, Matthew T., Whitlock, Jordan, Wolfe, Lynne A., Worley, Kim, Xiao, Changrui, Yamamoto, Shinya, Yang, John, Zhang, Zhe, Zuchner, Stephan, Ganetzky, Rebecca, Kranz, Peter G., Sondheimer, Neal, Markert, M. Louise, Sadeghpour, Azita, Roehrs, Philip, Arbogast, Thomas, Muraresku, Colleen, Tyndall, Amanda V., Esser, Michael J., Woodward, Kristine E., Ping-Yee Au, Billie, Parboosingh, Jillian S., Lamont, Ryan E., Bernier, Francois P., Wright, Nicola A.M., Benseler, Susa M., Parsons, Simon J., El-Dairi, Mays, Valdez, Purnima, Tennison, Michael, Innes, A. Micheil, and Davis, Erica E.
Published: 2023
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26. Histone H3.3 beyond cancer: Germline mutations in Histone 3 Family 3A and 3B cause a previously unidentified neurodegenerative disorder in 46 patients.

Author: Bryant, Laura, Li, Dong, Cox, Samuel G, Marchione, Dylan, Joiner, Evan F, Wilson, Khadija, Janssen, Kevin, Lee, Pearl, March, Michael E, Nair, Divya, Sherr, Elliott, Fregeau, Brieana, Wierenga, Klaas J, Wadley, Alexandrea, Mancini, Grazia MS, Powell-Hamilton, Nina, van de Kamp, Jiddeke, Grebe, Theresa, Dean, John, Ross, Alison, Crawford, Heather P, Powis, Zoe, Cho, Megan T, Willing, Marcia C, Manwaring, Linda, Schot, Rachel, Nava, Caroline, Afenjar, Alexandra, Lessel, Davor, Wagner, Matias, Klopstock, Thomas, Winkelmann, Juliane, Catarino, Claudia B, Retterer, Kyle, Schuette, Jane L, Innis, Jeffrey W, Pizzino, Amy, Lüttgen, Sabine, Denecke, Jonas, Strom, Tim M, Monaghan, Kristin G, DDD Study, Yuan, Zuo-Fei, Dubbs, Holly, Bend, Renee, Lee, Jennifer A, Lyons, Michael J, Hoefele, Julia, Günthner, Roman, Reutter, Heiko, Keren, Boris, Radtke, Kelly, Sherbini, Omar, Mrokse, Cameron, Helbig, Katherine L, Odent, Sylvie, Cogne, Benjamin, Mercier, Sandra, Bezieau, Stephane, Besnard, Thomas, Kury, Sebastien, Redon, Richard, Reinson, Karit, Wojcik, Monica H, Õunap, Katrin, Ilves, Pilvi, Innes, A Micheil, Kernohan, Kristin D, Care4Rare Canada Consortium, Costain, Gregory, Meyn, M Stephen, Chitayat, David, Zackai, Elaine, Lehman, Anna, Kitson, Hilary, CAUSES Study, Martin, Martin G, Martinez-Agosto, Julian A, Undiagnosed Diseases Network, Nelson, Stan F, Palmer, Christina GS, Papp, Jeanette C, Parker, Neil H, Sinsheimer, Janet S, Vilain, Eric, Wan, Jijun, Yoon, Amanda J, Zheng, Allison, Brimble, Elise, Ferrero, Giovanni Battista, Radio, Francesca Clementina, Carli, Diana, Barresi, Sabina, Brusco, Alfredo, Tartaglia, Marco, Thomas, Jennifer Muncy, Umana, Luis, Weiss, Marjan M, Gotway, Garrett, and Stuurman, KE
Subjects: DDD Study, Care4Rare Canada Consortium, CAUSES Study, Undiagnosed Diseases Network, Cancer, Rare Diseases, Human Genome, Pediatric Research Initiative, Genetics, Biotechnology, 2.1 Biological and endogenous factors
Abstract: Although somatic mutations in Histone 3.3 (H3.3) are well-studied drivers of oncogenesis, the role of germline mutations remains unreported. We analyze 46 patients bearing de novo germline mutations in histone 3 family 3A (H3F3A) or H3F3B with progressive neurologic dysfunction and congenital anomalies without malignancies. Molecular modeling of all 37 variants demonstrated clear disruptions in interactions with DNA, other histones, and histone chaperone proteins. Patient histone posttranslational modifications (PTMs) analysis revealed notably aberrant local PTM patterns distinct from the somatic lysine mutations that cause global PTM dysregulation. RNA sequencing on patient cells demonstrated up-regulated gene expression related to mitosis and cell division, and cellular assays confirmed an increased proliferative capacity. A zebrafish model showed craniofacial anomalies and a defect in Foxd3-derived glia. These data suggest that the mechanism of germline mutations are distinct from cancer-associated somatic histone mutations but may converge on control of cell proliferation.
Published: 2020

27. De novo missense variants in phosphatidylinositol kinase PIP5KIγ underlie a neurodevelopmental syndrome associated with altered phosphoinositide signaling

Author: Acosta, Maria T., Adam, Margaret, Adams, David R., Alvarez, Raquel L., Alvey, Justin, Amendola, Laura, Andrews, Ashley, Ashley, Euan A., Bacino, Carlos A., Bademci, Guney, Balasubramanyam, Ashok, Baldridge, Dustin, Bale, Jim, Bamshad, Michael, Barbouth, Deborah, Bayrak-Toydemir, Pinar, Beck, Anita, Beggs, Alan H., Behrens, Edward, Bejerano, Gill, Bellen, Hugo J., Bennett, Jimmy, Berg-Rood, Beverly, Bernstein, Jonathan A., Berry, Gerard T., Bican, Anna, Bivona, Stephanie, Blue, Elizabeth, Bohnsack, John, Bonner, Devon, Botto, Lorenzo, Boyd, Brenna, Briere, Lauren C., Brown, Gabrielle, Burke, Elizabeth A., Burrage, Lindsay C., Butte, Manish J., Byers, Peter, Byrd, William E., Carey, John, Carrasquillo, Olveen, Cassini, Thomas, Chang, Ta Chen Peter, Chanprasert, Sirisak, Chao, Hsiao-Tuan, Clark, Gary D., Coakley, Terra R., Cobban, Laurel A., Cogan, Joy D., Coggins, Matthew, Cole, F. Sessions, Colley, Heather A., Cooper, Cynthia M., Cope, Heidi, Corona, Rosario, Craigen, William J., Crouse, Andrew B., Cunningham, Michael, D’Souza, Precilla, Dai, Hongzheng, Dasari, Surendra, Davis, Joie, Dayal, Jyoti G., Dell'Angelica, Esteban C., Dipple, Katrina, Doherty, Daniel, Dorrani, Naghmeh, Doss, Argenia L., Douine, Emilie D., Earl, Dawn, Eckstein, David J., Emrick, Lisa T., Eng, Christine M., Falk, Marni, Fieg, Elizabeth L., Fisher, Paul G., Fogel, Brent L., Forghani, Irman, Gahl, William A., Glass, Ian, Gochuico, Bernadette, Goddard, Page C., Godfrey, Rena A., Golden-Grant, Katie, Grajewski, Alana, Hadley, Don, Hahn, Sihoun, Halley, Meghan C., Hamid, Rizwan, Hassey, Kelly, Hayes, Nichole, High, Frances, Hing, Anne, Hisama, Fuki M., Holm, Ingrid A., Hom, Jason, Horike-Pyne, Martha, Huang, Alden, Hutchison, Sarah, Introne, Wendy, Isasi, Rosario, Izumi, Kosuke, Jamal, Fariha, Jarvik, Gail P., Jarvik, Jeffrey, Jayadev, Suman, Jean-Marie, Orpa, Jobanputra, Vaidehi, Karaviti, Lefkothea, Ketkar, Shamika, Kiley, Dana, Kilich, Gonench, Kobren, Shilpa N., Kohane, Isaac S., Kohler, Jennefer N., Korrick, Susan, Kozuira, Mary, Krakow, Deborah, Krasnewich, Donna M., Kravets, Elijah, Lalani, Seema R., Lam, Byron, Lam, Christina, Lanpher, Brendan C., Lanza, Ian R., LeBlanc, Kimberly, Lee, Brendan H., Levitt, Roy, Lewis, Richard A., Liu, Pengfei, Liu, Xue Zhong, Longo, Nicola, Loo, Sandra K., Loscalzo, Joseph, Maas, Richard L., Macnamara, Ellen F., MacRae, Calum A., Maduro, Valerie V., Maghiro, AudreyStephannie, Mahoney, Rachel, Malicdan, May Christine V., Mamounas, Laura A., Manolio, Teri A., Mao, Rong, Maravilla, Kenneth, Marom, Ronit, Marth, Gabor, Martin, Beth A., Martin, Martin G., Martínez-Agosto, Julian A., Marwaha, Shruti, McCauley, Jacob, McConkie-Rosell, Allyn, McCray, Alexa T., McGee, Elisabeth, Mefford, Heather, Merritt, J. Lawrence, Might, Matthew, Mirzaa, Ghayda, Morava, Eva, Moretti, Paolo, Mulvihill, John, Nakano-Okuno, Mariko, Nelson, Stanley F., Newman, John H., Nicholas, Sarah K., Nickerson, Deborah, Nieves-Rodriguez, Shirley, Novacic, Donna, Oglesbee, Devin, Orengo, James P., Pace, Laura, Pak, Stephen, Pallais, J. Carl, Palmer, Christina G.S., Papp, Jeanette C., Parker, Neil H., Phillips III, John A., Posey, Jennifer E., Potocki, Lorraine, Pusey Swerdzewski, Barbara N., Quinlan, Aaron, Rao, Deepak A., Raper, Anna, Raskind, Wendy, Renteria, Genecee, Reuter, Chloe M., Rives, Lynette, Robertson, Amy K., Rodan, Lance H., Rosenfeld, Jill A., Rosenwasser, Natalie, Rossignol, Francis, Ruzhnikov, Maura, Sacco, Ralph, Sampson, Jacinda B., Saporta, Mario, Schaechter, Judy, Schedl, Timothy, Schoch, Kelly, Scott, Daryl A., Scott, C. Ron, Shashi, Vandana, Shin, Jimann, Silverman, Edwin K., Sinsheimer, Janet S., Sisco, Kathy, Smith, Edward C., Smith, Kevin S., Solnica-Krezel, Lilianna, Solomon, Ben, Spillmann, Rebecca C., Stoler, Joan M., Sullivan, Kathleen, Sullivan, Jennifer A., Sun, Angela, Sutton, Shirley, Sweetser, David A., Sybert, Virginia, Tabor, Holly K., Tan, Queenie K.-G., Tan, Amelia L.M., Tekin, Mustafa, Telischi, Fred, Thorson, Willa, Tifft, Cynthia J., Toro, Camilo, Tran, Alyssa A., Ungar, Rachel A., Urv, Tiina K., Vanderver, Adeline, Velinder, Matt, Viskochil, Dave, Vogel, Tiphanie P., Wahl, Colleen E., Walker, Melissa, Wallace, Stephanie, Walley, Nicole M., Wambach, Jennifer, Wan, Jijun, Wang, Lee-kai, Wangler, Michael F., Ward, Patricia A., Wegner, Daniel, Weisz Hubshman, Monika, Wener, Mark, Wenger, Tara, Westerfield, Monte, Wheeler, Matthew T., Whitlock, Jordan, Wolfe, Lynne A., Worley, Kim, Xiao, Changrui, Yamamoto, Shinya, Yang, John, Zhang, Zhe, Zuchner, Stephan, Nigro, Vincenzo, Torella, Annalaura, Morleo, Manuela, Spampanato, Carmine, Pinelli, Michele, Banfi, Sandro, Varavallo, Alessandra, Selicorni, Angelo, Mariani, Milena, Massimello, Marta, Daolio, Cecilia, Capra, Valeria, Accogli, Andrea, Scala, Marcello, Leuzzi, Vincenzo, Nardecchia, Francesca, Galosi, Serena, Mastrangelo, Mario, Milani, Donatella, Vitiello, Giuseppina, Piluso, Giulio, Romano, Corrado, Failla, Pinella, Greco, Donatella, Pantaleoni, Chiara, Ciaccio, Claudia, D’Arrigo, Stefano, Brunetti Pierri, Nicola, Parenti, Giancarlo, Coppola, Antonietta, Mattina, Teresa, Zollino, Marcella, Amenta, Simona, Tummolo, Albina, Santoro, Claudia, Grandone, Anna, De Brasi, Daniele, Varone, Antonio, Garavelli, Livia, Marini, Carla, Bigoni, Stefania, Piscopo, Carmelo, Trabacca, Antonio, De Rinaldis, Marta, Peron, Angela, Venditti, Rossella, Theodorou, Evangelos, Rosello, Marion, Tirozzi, Alfonsina, Tammaro, Roberta, Al-Badri, Nour, High, Frances A., Shi, Jiahai, Putti, Elena, Ferrante, Luigi, Cetrangolo, Viviana, Walker, Melissa A., Tenconi, Romano, Iascone, Maria, Mei, Davide, Guerrini, Renzo, van der Smagt, Jasper, Kroes, Hester Y., van Gassen, Koen L.I., Bilal, Muhammad, Umair, Muhammad, Pingault, Veronica, Attie-Bitach, Tania, Amiel, Jeannine, Ejaz, Resham, Rodan, Lance, Agrawal, Pankaj B., Del Bene, Filippo, and Franco, Brunella
Published: 2023
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28. OPENMENDEL: A Cooperative Programming Project for Statistical Genetics

Author: Zhou, Hua, Sinsheimer, Janet S., German, Christopher A., Ji, Sarah S., Bates, Douglas M., Chu, Benjamin B., Keys, Kevin L., Kim, Juhyun, Ko, Seyoon, Mosher, Gordon D., Papp, Jeanette C., Sobel, Eric M., Zhai, Jing, Zhou, Jin J., and Lange, Kenneth
Subjects: Statistics - Applications, Quantitative Biology - Genomics
Abstract: Statistical methods for genomewide association studies (GWAS) continue to improve. However, the increasing volume and variety of genetic and genomic data make computational speed and ease of data manipulation mandatory in future software. In our view, a collaborative effort of statistical geneticists is required to develop open source software targeted to genetic epidemiology. Our attempt to meet this need is called the OPENMENDELproject (https://openmendel.github.io). It aims to (1) enable interactive and reproducible analyses with informative intermediate results, (2) scale to big data analytics, (3) embrace parallel and distributed computing, (4) adapt to rapid hardware evolution, (5) allow cloud computing, (6) allow integration of varied genetic data types, and (7) foster easy communication between clinicians, geneticists, statisticians, and computer scientists. This article reviews and makes recommendations to the genetic epidemiology community in the context of the OPENMENDEL project., Comment: 16 pages, 2 figures, 2 tables
Published: 2019
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29. De novo variants in MRTFB have gain-of-function activity in Drosophila and are associated with a novel neurodevelopmental phenotype with dysmorphic features

Author: Acosta, Maria T., Adam, Margaret, Adams, David R., Alvarez, Raquel L., Alvey, Justin, Amendola, Laura, Andrews, Ashley, Ashley, Euan A., Bacino, Carlos A., Bademci, Guney, Balasubramanyam, Ashok, Baldridge, Dustin, Bale, Jim, Bamshad, Michael, Barbouth, Deborah, Bayrak-Toydemir, Pinar, Beck, Anita, Beggs, Alan H., Behrens, Edward, Bejerano, Gill, Bellen, Hugo J., Bennett, Jimmy, Berg-Rood, Beverly, Bernstein, Jonathan A., Berry, Gerard T., Bican, Anna, Bivona, Stephanie, Blue, Elizabeth, Bohnsack, John, Bonner, Devon, Botto, Lorenzo, Boyd, Brenna, Briere, Lauren C., Brokamp, Elly, Brown, Gabrielle, Burke, Elizabeth A., Burrage, Lindsay C., Butte, Manish J., Byers, Peter, Byrd, William E., Carey, John, Carrasquillo, Olveen, Cassini, Thomas, Peter Chang, Ta Chen, Chanprasert, Sirisak, Chao, Hsiao-Tuan, Clark, Gary D., Coakley, Terra R., Cobban, Laurel A., Cogan, Joy D., Coggins, Matthew, Cole, F. Sessions, Colley, Heather A., Cooper, Cynthia M., Cope, Heidi, Corona, Rosario, Craigen, William J., Crouse, Andrew B., Cunningham, Michael, D’Souza, Precilla, Dai, Hongzheng, Dasari, Surendra, Davis, Joie, Dayal, Jyoti G., Dell'Angelica, Esteban C., Dipple, Katrina, Doherty, Daniel, Dorrani, Naghmeh, Doss, Argenia L., Douine, Emilie D., Duncan, Laura, Earl, Dawn, Eckstein, David J., Emrick, Lisa T., Eng, Christine M., Falk, Marni, Fieg, Elizabeth L., Fisher, Paul G., Fogel, Brent L., Forghani, Irman, Gahl, William A., Glass, Ian, Gochuico, Bernadette, Goddard, Page C., Godfrey, Rena A., Golden-Grant, Katie, Grajewski, Alana, Hadley, Don, Hahn, Sihoun, Halley, Meghan C., Hamid, Rizwan, Hassey, Kelly, Hayes, Nichole, High, Frances, Hing, Anne, Hisama, Fuki M., Holm, Ingrid A., Hom, Jason, Horike-Pyne, Martha, Huang, Alden, Hutchison, Sarah, Introne, Wendy, Isasi, Rosario, Izumi, Kosuke, Jamal, Fariha, Jarvik, Gail P., Jarvik, Jeffrey, Jayadev, Suman, Jean-Marie, Orpa, Jobanputra, Vaidehi, Karaviti, Lefkothea, Kennedy, Jennifer, Ketkar, Shamika, Kiley, Dana, Kilich, Gonench, Kobren, Shilpa N., Kohane, Isaac S., Kohler, Jennefer N., Korrick, Susan, Kozuira, Mary, Krakow, Deborah, Krasnewich, Donna M., Kravets, Elijah, Lalani, Seema R., Lam, Byron, Lam, Christina, Lanpher, Brendan C., Lanza, Ian R., LeBlanc, Kimberly, Lee, Brendan H., Levitt, Roy, Lewis, Richard A., Liu, Pengfei, Liu, Xue Zhong, Longo, Nicola, Loo, Sandra K., Loscalzo, Joseph, Maas, Richard L., Macnamara, Ellen F., MacRae, Calum A., Maduro, Valerie V., Maghiro, AudreyStephannie, Mahoney, Rachel, Malicdan, May Christine V., Mamounas, Laura A., Manolio, Teri A., Mao, Rong, Maravilla, Kenneth, Marom, Ronit, Marth, Gabor, Martin, Beth A., Martin, Martin G., Martínez-Agosto, Julian A., Marwaha, Shruti, McCauley, Jacob, McConkie-Rosell, Allyn, McCray, Alexa T., McGee, Elisabeth, Mefford, Heather, Merritt, J. Lawrence, Might, Matthew, Mirzaa, Ghayda, Morava, Eva, Moretti, Paolo, Mulvihill, John, Nakano-Okuno, Mariko, Nelson, Stanley F., Newman, John H., Nicholas, Sarah K., Nickerson, Deborah, Nieves-Rodriguez, Shirley, Novacic, Donna, Oglesbee, Devin, Orengo, James P., Pace, Laura, Pak, Stephen, Pallais, J. Carl, Palmer, Christina G.S., Papp, Jeanette C., Parker, Neil H., Phillips, John A., III, Posey, Jennifer E., Potocki, Lorraine, Pusey Swerdzewski, Barbara N., Quinlan, Aaron, Rao, Deepak A., Raper, Anna, Raskind, Wendy, Renteria, Genecee, Reuter, Chloe M., Rives, Lynette, Robertson, Amy K., Rodan, Lance H., Rosenfeld, Jill A., Rosenwasser, Natalie, Rossignol, Francis, Ruzhnikov, Maura, Sacco, Ralph, Sampson, Jacinda B., Saporta, Mario, Schaechter, Judy, Schedl, Timothy, Schoch, Kelly, Scott, Daryl A., Scott, C. Ron, Shashi, Vandana, Shin, Jimann, Silverman, Edwin K., Sinsheimer, Janet S., Sisco, Kathy, Smith, Edward C., Smith, Kevin S., Solem, Emily, Solnica-Krezel, Lilianna, Solomon, Ben, Spillmann, Rebecca C., Stoler, Joan M., Sullivan, Kathleen, Sullivan, Jennifer A., Sun, Angela, Sutton, Shirley, Sweetser, David A., Sybert, Virginia, Tabor, Holly K., Tan, Queenie K.-G., Tan, Amelia L.M., Tekin, Mustafa, Telischi, Fred, Thorson, Willa, Tifft, Cynthia J., Toro, Camilo, Tran, Alyssa A., Ungar, Rachel A., Urv, Tiina K., Vanderver, Adeline, Velinder, Matt, Viskochil, Dave, Vogel, Tiphanie P., Wahl, Colleen E., Walker, Melissa, Wallace, Stephanie, Walley, Nicole M., Wambach, Jennifer, Wan, Jijun, Wang, Lee-kai, Wangler, Michael F., Ward, Patricia A., Wegner, Daniel, Hubshman, Monika Weisz, Wener, Mark, Wenger, Tara, Westerfield, Monte, Wheeler, Matthew T., Whitlock, Jordan, Wolfe, Lynne A., Worley, Kim, Xiao, Changrui, Yamamoto, Shinya, Yang, John, Zhang, Zhe, Zuchner, Stephan, Andrews, Jonathan C., Mok, Jung-Wan, Kanca, Oguz, Jangam, Sharayu, Tifft, Cynthia, and Russell, Bianca E.
Published: 2023
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30. Genetic risk scores and hallucinations in patients with Parkinson disease

Author: Kusters, Cynthia DJ, Paul, Kimberly C, Duarte Folle, Aline, Keener, Adrienne M, Bronstein, Jeff M, Dobricic, Valerija, Tysnes, Ole-Bjørn, Bertram, Lars, Alves, Guido, Sinsheimer, Janet S, Lill, Christina M, Maple-Grødem, Jodi, and Ritz, Beate R
Subjects: Biological Sciences, Genetics, Parkinson's Disease, Dementia, Mental Health, Acquired Cognitive Impairment, Neurosciences, Neurodegenerative, Clinical Research, Serious Mental Illness, Brain Disorders, Aging, Schizophrenia, Aetiology, 2.1 Biological and endogenous factors, Neurological, Clinical sciences
Abstract: ObjectiveWe examine the hypothesized overlap of genetic architecture for Alzheimer disease (AD), schizophrenia (SZ), and Parkinson disease (PD) through the use of polygenic risk scores (PRSs) with the occurrence of hallucinations in PD.MethodsWe used 2 population-based studies (ParkWest, Norway, and Parkinson's Environment and Gene, USA) providing us with 399 patients with PD with European ancestry and a PD diagnosis after age 55 years to assess the associations between 4 PRSs and hallucinations after 5 years of mean disease duration. Based on the existing genome-wide association study of other large consortia, 4 PRSs were created: one each using AD, SZ, and PD cohorts and another PRS for height, which served as a negative control.ResultsA higher prevalence of hallucinations was observed with each SD increase of the AD-PRS (odds ratio [OR]: 1.37, 95% confidence interval [CI]: 1.03-1.83). This effect was mainly driven by APOE (OR: 1.92, 95% CI: 1.14-3.22). In addition, a suggestive decrease and increase, respectively, in hallucination prevalence were observed with the SZ-PRS and the PD-PRS (OR: 0.77, 95% CI: 0.59-1.01; and OR: 1.29, 95% CI: 0.95-1.76, respectively). No association was observed with the height PRS.ConclusionsThese results suggest that mechanisms for hallucinations in PD may in part be driven by the same genetic architecture that leads to cognitive decline in AD, especially by APOE.
Published: 2020

31. A candidate gene study of intermediate histopathological phenotypes in HIV-associated neurocognitive disorders

Author: Levine, Andrew J, Soontornniyomkij, Virawudh, Masliah, Eliezer, Sinsheimer, Janet S, Ji, Sarah S, Horvath, Steve, Singer, Elyse J, Kallianpur, Asha, and Moore, David J
Subjects: Medical Microbiology, Biomedical and Clinical Sciences, Neurosciences, Clinical Sciences, Brain Disorders, Genetics, Sexually Transmitted Infections, HIV/AIDS, Neurodegenerative, Basic Behavioral and Social Science, Acquired Cognitive Impairment, Biotechnology, Clinical Research, Mental Health, Behavioral and Social Science, Infectious Diseases, 2.1 Biological and endogenous factors, Infection, Adult, Cognitive Dysfunction, Cytokines, Dendrites, Female, Frontal Lobe, Gene Expression, Genotype, HIV Infections, Humans, Longitudinal Studies, Male, Microtubule-Associated Proteins, Middle Aged, Neuropsychological Tests, Phenotype, Polymorphism, Genetic, Presynaptic Terminals, Synapses, Synaptophysin, HIV-associated neurocognitive disorder, Genetic, Histopathology, Neuropathology, NeuroAIDS, Synaptodendritic, Virology, Clinical sciences, Medical microbiology
Abstract: HIV-associated neurocognitive disorders (HAND) describe a spectrum of neuropsychological impairment caused by HIV-1 infection. While the sequence of cellular and physiological events that lead to HAND remains obscure, it likely involves chronic neuroinflammation. Host genetic markers that increase the risk for HAND have been reported, but replication of such studies is lacking, possibly due to inconsistent application of a behavioral phenotype across studies. In the current study, we used histopathologic phenotypes in order to validate putative risk alleles for HAND. The National NeuroAIDS Tissue Consortium, a longitudinal study of the neurologic manifestations of HIV. Data and specimens were obtained from 175 HIV-infected adults. After determining several potential covariates of neurocognitive functioning, we quantified levels of six histopathological markers in the frontal lobe in association with neurocognitive functioning: SYP, MAP 2, HLA-DR, Iba1, GFAP, and β-amyloid. We then determined alleles of 15 candidate genes for their associations with neurocognitive functioning and histopathological markers. Finally, we identified the most plausible causal pathway based on our data using a multi-stage linear regression-based mediation analysis approach. None of the genetic markers were associated with neurocognitive functioning. Of the histopathological markers, only MAP 2 and SYP were associated with neurocognitive functioning; however, MAP 2 and SYP did not vary as a function of genotype. Mediation analysis suggests a causal pathway in which presynaptic degeneration (SYP) leads to somatodendritic degeneration (MAP 2) and ultimately neurocognitive impairment. This study did not support the role of host genotype in the histopathology underlying HAND. The findings lend further support for synaptodendritic degeneration as the proximal underlying neuropathological substrate of HAND.
Published: 2020

32. Iterative hard thresholding in genome-wide association studies: Generalized linear models, prior weights, and double sparsity

Author: Chu, Benjamin B, Keys, Kevin L, German, Christopher A, Zhou, Hua, Zhou, Jin J, Sobel, Eric M, Sinsheimer, Janet S, and Lange, Kenneth
Subjects: Biological Sciences, Genetics, Epidemiology, Health Sciences, Statistics, Mathematical Sciences, Human Genome, 2.5 Research design and methodologies (aetiology), Aetiology, Algorithms, Computational Biology, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Linear Models, Phenotype, Polymorphism, Single Nucleotide, Reproducibility of Results, GWAS, multiple regression, high dimensional inference, iterative hard thresholding, biobank
Abstract: BackgroundConsecutive testing of single nucleotide polymorphisms (SNPs) is usually employed to identify genetic variants associated with complex traits. Ideally one should model all covariates in unison, but most existing analysis methods for genome-wide association studies (GWAS) perform only univariate regression.ResultsWe extend and efficiently implement iterative hard thresholding (IHT) for multiple regression, treating all SNPs simultaneously. Our extensions accommodate generalized linear models, prior information on genetic variants, and grouping of variants. In our simulations, IHT recovers up to 30% more true predictors than SNP-by-SNP association testing and exhibits a 2-3 orders of magnitude decrease in false-positive rates compared with lasso regression. We also test IHT on the UK Biobank hypertension phenotypes and the Northern Finland Birth Cohort of 1966 cardiovascular phenotypes. We find that IHT scales to the large datasets of contemporary human genetics and recovers the plausible genetic variants identified by previous studies.ConclusionsOur real data analysis and simulation studies suggest that IHT can (i) recover highly correlated predictors, (ii) avoid over-fitting, (iii) deliver better true-positive and false-positive rates than either marginal testing or lasso regression, (iv) recover unbiased regression coefficients, (v) exploit prior information and group-sparsity, and (vi) be used with biobank-sized datasets. Although these advances are studied for genome-wide association studies inference, our extensions are pertinent to other regression problems with large numbers of predictors.
Published: 2020

33. Heritability of interpack aggression in a wild pedigreed population of North American grey wolves

Author: vonHoldt, Bridgett M, DeCandia, Alexandra L, Heppenheimer, Elizabeth, Janowitz‐Koch, Ilana, Shi, Ruoyao, Zhou, Hua, German, Christopher A, Brzeski, Kristin E, Cassidy, Kira A, Stahler, Daniel R, and Sinsheimer, Janet S
Subjects: Biological Sciences, Ecology, Genetics, Mental Health, Prevention, Aggression, Animals, Behavior, Animal, Pedigree, Polymorphism, Single Nucleotide, Reproduction, United States, Wolves, Wyoming, aggression, behaviour, canid, heritability, RAD-seq, Evolutionary Biology, Biological sciences
Abstract: Aggression is a quantitative trait deeply entwined with individual fitness. Mapping the genomic architecture underlying such traits is complicated by complex inheritance patterns, social structure, pedigree information and gene pleiotropy. Here, we leveraged the pedigree of a reintroduced population of grey wolves (Canis lupus) in Yellowstone National Park, Wyoming, USA, to examine the heritability of and the genetic variation associated with aggression. Since their reintroduction, many ecological and behavioural aspects have been documented, providing unmatched records of aggressive behaviour across multiple generations of a wild population of wolves. Using a linear mixed model, a robust genetic relationship matrix, 12,288 single nucleotide polymorphisms (SNPs) and 111 wolves, we estimated the SNP-based heritability of aggression to be 37% and an additional 14% of the phenotypic variation explained by shared environmental exposures. We identified 598 SNP genotypes from 425 grey wolves to resolve a consensus pedigree that was included in a heritability analysis of 141 individuals with SNP genotype, metadata and aggression data. The pedigree-based heritability estimate for aggression is 14%, and an additional 16% of the phenotypic variation was explained by shared environmental exposures. We find strong effects of breeding status and relative pack size on aggression. Through an integrative approach, these results provide a framework for understanding the genetic architecture of a complex trait that influences individual fitness, with linkages to reproduction, in a social carnivore. Along with a few other studies, we show here the incredible utility of a pedigreed natural population for dissecting a complex, fitness-related behavioural trait.
Published: 2020

34. Ordered multinomial regression for genetic association analysis of ordinal phenotypes at Biobank scale

Author: German, Christopher A, Sinsheimer, Janet S, Klimentidis, Yann C, Zhou, Hua, and Zhou, Jin J
Subjects: Epidemiology, Biological Sciences, Health Sciences, Genetics, Human Genome, Generic health relevance, Good Health and Well Being, Algorithms, Biological Specimen Banks, Case-Control Studies, Computer Simulation, Genome-Wide Association Study, Humans, Hypertension, Models, Genetic, Phenotype, Polymorphism, Single Nucleotide, Pulmonary Disease, Chronic Obstructive, Regression Analysis, Respiratory Function Tests, electronic health record, genome-wide association study, ordered multinomial regression, Public Health and Health Services
Abstract: Logistic regression is the primary analysis tool for binary traits in genome-wide association studies (GWAS). Multinomial regression extends logistic regression to multiple categories. However, many phenotypes more naturally take ordered, discrete values. Examples include (a) subtypes defined from multiple sources of clinical information and (b) derived phenotypes generated by specific phenotyping algorithms for electronic health records (EHR). GWAS of ordinal traits have been problematic. Dichotomizing can lead to a range of arbitrary cutoff values, generating inconsistent, hard to interpret results. Using multinomial regression ignores trait value hierarchy and potentially loses power. Treating ordinal data as quantitative can lead to misleading inference. To address these issues, we analyze ordinal traits with an ordered, multinomial model. This approach increases power and leads to more interpretable results. We derive efficient algorithms for computing test statistics, making ordinal trait GWAS computationally practical for Biobank scale data. Our method is available as a Julia package OrdinalGWAS.jl. Application to a COPDGene study confirms previously found signals based on binary case-control status, but with more significance. Additionally, we demonstrate the capability of our package to run on UK Biobank data by analyzing hypertension as an ordinal trait.
Published: 2020

35. Diagnostic utility of transcriptome sequencing for rare Mendelian diseases

Author: Lee, Hane, Huang, Alden Y, Wang, Lee-kai, Yoon, Amanda J, Renteria, Genecee, Eskin, Ascia, Signer, Rebecca H, Dorrani, Naghmeh, Nieves-Rodriguez, Shirley, Wan, Jijun, Douine, Emilie D, Woods, Jeremy D, Dell’Angelica, Esteban C, Fogel, Brent L, Martin, Martin G, Butte, Manish J, Parker, Neil H, Wang, Richard T, Shieh, Perry B, Wong, Derek A, Gallant, Natalie, Singh, Kathryn E, Tavyev Asher, Y Jane, Sinsheimer, Janet S, Krakow, Deborah, Loo, Sandra K, Allard, Patrick, Papp, Jeanette C, Palmer, Christina GS, Martinez-Agosto, Julian A, and Nelson, Stanley F
Subjects: Biological Sciences, Bioinformatics and Computational Biology, Genetics, Human Genome, Prevention, Clinical Research, Detection, screening and diagnosis, Aetiology, 2.1 Biological and endogenous factors, 4.1 Discovery and preclinical testing of markers and technologies, Good Health and Well Being, Exome, Genetic Diseases, Inborn, Genetic Testing, Humans, Mutation, Pathology, Molecular, RNA-Seq, Rare Diseases, Sequence Analysis, DNA, Transcriptome, Exome Sequencing, Whole Genome Sequencing, transcriptome sequencing, genome sequencing, exome sequencing, undiagnosed rare Mendelian diseases, molecular diagnosis, Undiagnosed Diseases Network, Clinical Sciences, Genetics & Heredity
Abstract: PurposeWe investigated the value of transcriptome sequencing (RNAseq) in ascertaining the consequence of DNA variants on RNA transcripts to improve the diagnostic rate from exome or genome sequencing for undiagnosed Mendelian diseases spanning a wide spectrum of clinical indications.MethodsFrom 234 subjects referred to the Undiagnosed Diseases Network, University of California-Los Angeles clinical site between July 2014 and August 2018, 113 were enrolled for high likelihood of having rare undiagnosed, suspected genetic conditions despite thorough prior clinical evaluation. Exome or genome sequencing and RNAseq were performed, and RNAseq data was integrated with genome sequencing data for DNA variant interpretation genome-wide.ResultsThe molecular diagnostic rate by exome or genome sequencing was 31%. Integration of RNAseq with genome sequencing resulted in an additional seven cases with clear diagnosis of a known genetic disease. Thus, the overall molecular diagnostic rate was 38%, and 18% of all genetic diagnoses returned required RNAseq to determine variant causality.ConclusionIn this rare disease cohort with a wide spectrum of undiagnosed, suspected genetic conditions, RNAseq analysis increased the molecular diagnostic rate above that possible with genome sequencing analysis alone even without availability of the most appropriate tissue type to assess.
Published: 2020

36. Understanding the Heterogeneity of Obesity and the Relationship to the Brain-Gut Axis

Author: Hung, Tony KW, Dong, Tien S, Chen, Zixi, Elashoff, David, Sinsheimer, Janet S, Jacobs, Jonathan P, Lagishetty, Venu, Vora, Priten, Stains, Jean, Mayer, Emeran A, and Gupta, Arpana
Subjects: Biomedical and Clinical Sciences, Nutrition and Dietetics, Clinical Research, Nutrition, Obesity, Neurosciences, Oral and gastrointestinal, Life Below Water, Adolescent, Adult, Amino Acids, Body Mass Index, Brain, Cross-Sectional Studies, Diet, Feces, Female, Gastrointestinal Microbiome, Gastrointestinal Tract, Hispanic or Latino, Humans, Male, Metabolic Diseases, Middle Aged, Overweight, RNA, Ribosomal, 16S, Sequence Analysis, RNA, Socioeconomic Factors, Young Adult, obesity, microbiome, brain-gut axis, amino acids, metabolites, heterogeneity, precision medicine, Hispanic, health disparity, diet, Food Sciences, Clinical sciences, Nutrition and dietetics, Public health
Abstract: Obesity is best understood as a multifactorial metabolic imbalances disorder. In a cross-sectional study, we aimed to explore sociodemographic and dietary determinants of obesity in relation to brain-gut homeostasis among overweight and obese individuals. Multivariate logistic regression models were used to examine obesity and its association with sociodemographic and dietary factors. Biological variables examined included the gut microbiome, fecal amino acid metabolites and brain structural volumes. Among 130 participants, there were higher odds of obesity if individuals were Hispanic (adjusted odds ratio (aOR) 1.56, p = 0.014). Compared to non-Hispanics, Hispanics differed in gut microbial composition (p = 0.046) with lower microbial species richness (Chao1) (p = 0.032) and evenness (Shannon) (p = 0.0029). Fourteen of the twenty fecal amino acids including branch-chain- and aromatic- amino acids were increased among Hispanics (q < 0.05). Brain structural volumes in reward regions were decreased in Hispanics (pallidum, q = 0.036; brainstem, q = 0.011). Correlation patterns suggest complex brain-gut interactions differ by Hispanic ethnicity. In conclusion, Hispanics expressed a unique brain-gut microbial signature, which was associated with obesity despite sociodemographic and dietary differences. Addressing ethnic disparities guided by biologic phenotypes may unlock novel understanding of obesity heterogeneity and treatment strategies.
Published: 2020

37. OpenMendel: a cooperative programming project for statistical genetics

Author: Zhou, Hua, Sinsheimer, Janet S, Bates, Douglas M, Chu, Benjamin B, German, Christopher A, Ji, Sarah S, Keys, Kevin L, Kim, Juhyun, Ko, Seyoon, Mosher, Gordon D, Papp, Jeanette C, Sobel, Eric M, Zhai, Jing, Zhou, Jin J, and Lange, Kenneth
Subjects: Biological Sciences, Genetics, Human Genome, Networking and Information Technology R&D (NITRD), Algorithms, Computational Biology, Genome, Human, Genome-Wide Association Study, Humans, Models, Statistical, Polymorphism, Single Nucleotide, Programming Languages, Software, Statistical genomics, GWAS, Computational statistics, Open source, Collaborative programming, stat.AP, q-bio.GN, Complementary and Alternative Medicine, Paediatrics and Reproductive Medicine, Genetics & Heredity, Reproductive medicine
Abstract: Statistical methods for genome-wide association studies (GWAS) continue to improve. However, the increasing volume and variety of genetic and genomic data make computational speed and ease of data manipulation mandatory in future software. In our view, a collaborative effort of statistical geneticists is required to develop open source software targeted to genetic epidemiology. Our attempt to meet this need is called the OPENMENDEL project (https://openmendel.github.io). It aims to (1) enable interactive and reproducible analyses with informative intermediate results, (2) scale to big data analytics, (3) embrace parallel and distributed computing, (4) adapt to rapid hardware evolution, (5) allow cloud computing, (6) allow integration of varied genetic data types, and (7) foster easy communication between clinicians, geneticists, statisticians, and computer scientists. This article reviews and makes recommendations to the genetic epidemiology community in the context of the OPENMENDEL project.
Published: 2020

38. Associations of regional amyloid-β plaque and phospho-tau pathology with biological factors and neuropsychological functioning among HIV-infected adults

Author: Soontornniyomkij, Virawudh, Moore, David J, Gouaux, Ben, Soontornniyomkij, Benchawanna, Sinsheimer, Janet S, and Levine, Andrew J
Subjects: Medical Microbiology, Biomedical and Clinical Sciences, Brain Disorders, Aging, HIV/AIDS, Acquired Cognitive Impairment, Alzheimer's Disease, Dementia, Neurosciences, Infectious Diseases, Neurodegenerative, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), 2.1 Biological and endogenous factors, Aetiology, Neurological, Good Health and Well Being, Adult, Aged, Amyloid beta-Peptides, Brain, Cognition, Female, HIV Infections, HIV-1, Humans, Male, Middle Aged, Neurofibrillary Tangles, Neuropsychological Tests, Plaque, Amyloid, tau Proteins, Amyloidosis, Astrogliosis, Gliosis, Microgliosis, Neurodegeneration, Tauopathy, Clinical Sciences, Virology, Clinical sciences, Medical microbiology
Abstract: With increasing age, the general population is increasingly vulnerable to the development of cerebral amyloid-β (Aβ) plaque and neuronal phospho-tau (p-tau) pathology. In HIV disease, prior studies of these neuropathologic changes were relatively limited. Here, we characterized Aβ plaques and p-tau lesions by immunohistochemistry in relevant brain regions (prefrontal neocortex, putamen, basal-temporal neocortex, and hippocampus) of HIV-infected adults. We used multivariable logistic regression to predict regional Aβ plaque or p-tau pathology based on demographic factors, apolipoprotein E (APOE) genotypes, HIV disease-related factors, and regional gliosis. We used multiple linear regression to predict T-scores in neuropsychological domains based on regional Aβ plaque or p-tau pathology. We found that APOE ε4 alleles, older age, and higher plasma HIV-1 RNA predicted prefrontal Aβ plaques (odds ratio (OR) 5.306, 1.045, and 0.699, respectively, n = 168). Older age predicted putamen Aβ plaques (OR 1.064, n = 171). APOE ε4 alleles, hepatitis C virus seropositivity, and higher plasma HIV-1 RNA predicted hippocampus Aβ plaques (OR 6.779, 6.138, and 0.589, respectively, n = 56). The p-tau lesions were sparse in the vast majority of affected cases. Lifetime substance use disorder and higher plasma HIV-1 RNA predicted putamen p-tau lesions (OR 0.278 and 0.638, respectively, n = 67). Older age and gliosis predicted hippocampus p-tau lesions (OR 1.128 and 0.592, respectively, n = 59). Prefrontal Aβ plaques predicted lower speed of information processing (n = 159) and putamen Aβ plaques predicted lower levels of attention and working memory (n = 88). Regional p-tau lesions were not significantly predictive of any neuropsychological domains. In conclusion, Aβ plaque or p-tau pathology in different brain regions was predicted by different sets of biological factors. Aβ plaques in prefrontal neocortex and putamen predicted poorer functioning in cognitive domains relevant to these brain regions. The absence of significant impact of regional p-tau lesions on neuropsychological functioning might be explained by the subthreshold burden of p-tau lesions.
Published: 2019

39. Bi-allelic variants in INTS11 are associated with a complex neurological disorder

Author: Acosta, Maria T., Adam, Margaret, Adams, David R., Alvey, Justin, Amendola, Laura, Andrews, Ashley, Ashley, Euan A., Azamian, Mahshid S., Bacino, Carlos A., Bademci, Guney, Balasubramanyam, Ashok, Baldridge, Dustin, Bale, Jim, Bamshad, Michael, Barbouth, Deborah, Bayrak-Toydemir, Pinar, Beck, Anita, Beggs, Alan H., Behrens, Edward, Bejerano, Gill, Bellen, Hugo J., Bennet, Jimmy, Berg-Rood, Beverly, Bernstein, Jonathan A., Berry, Gerard T., Bican, Anna, Bivona, Stephanie, Blue, Elizabeth, Bohnsack, John, Bonner, Devon, Botto, Lorenzo, Boyd, Brenna, Briere, Lauren C., Brokamp, Elly, Brown, Gabrielle, Burke, Elizabeth A., Burrage, Lindsay C., Butte, Manish J., Byers, Peter, Byrd, William E., Carey, John, Carrasquillo, Olveen, Cassini, Thomas, Peter Chang, Ta Chen, Chanprasert, Sirisak, Chao, Hsiao-Tuan, Clark, Gary D., Coakley, Terra R., Cobban, Laurel A., Cogan, Joy D., Coggins, Matthew, Cole, F. Sessions, Colley, Heather A., Cooper, Cynthia M., Cope, Heidi, Craigen, William J., Crouse, Andrew B., Cunningham, Michael, D'Souza, Precilla, Dai, Hongzheng, Dasari, Surendra, Davis, Joie, Dayal, Jyoti G., Deardorff, Matthew, Dell'Angelica, Esteban C., Dipple, Katrina, Doherty, Daniel, Dorrani, Naghmeh, Doss, Argenia L., Douine, Emilie D., Duncan, Laura, Earl, Dawn, Eckstein, David J., Emrick, Lisa T., Eng, Christine M., Esteves, Cecilia, Falk, Marni, Fernandez, Liliana, Fieg, Elizabeth L., Fisher, Paul G., Fogel, Brent L., Forghani, Irman, Gahl, William A., Glass, Ian, Gochuico, Bernadette, Godfrey, Rena A., Golden-Grant, Katie, Goldrich, Madison P., Grajewski, Alana, Gutierrez, Irma, Hadley, Don, Hahn, Sihoun, Hamid, Rizwan, Hassey, Kelly, Hayes, Nichole, High, Frances, Hing, Anne, Hisama, Fuki M., Holm, Ingrid A., Hom, Jason, Horike-Pyne, Martha, Huang, Alden, Huang, Yong, Introne, Wendy, Isasi, Rosario, Izumi, Kosuke, Jamal, Fariha, Jarvik, Gail P., Jarvik, Jeffrey, Jayadev, Suman, Jean-Marie, Orpa, Jobanputra, Vaidehi, Karaviti, Lefkothea, Kennedy, Jennifer, Ketkar, Shamika, Kiley, Dana, Kilich, Gonench, Kobren, Shilpa N., Kohane, Isaac S., Kohler, Jennefer N., Krakow, Deborah, Krasnewich, Donna M., Kravets, Elijah, Korrick, Susan, Koziura, Mary, Lalani, Seema R., Lam, Byron, Lam, Christina, LaMoure, Grace L., Lanpher, Brendan C., Lanza, Ian R., LeBlanc, Kimberly, Lee, Brendan H., Levitt, Roy, Lewis, Richard A., Liu, Pengfei, Liu, Xue Zhong, Longo, Nicola, Loo, Sandra K., Loscalzo, Joseph, Maas, Richard L., Macnamara, Ellen F., MacRae, Calum A., Maduro, Valerie V., Mahoney, Rachel, Mak, Bryan C., Malicdan, May Christine V., Mamounas, Laura A., Manolio, Teri A., Mao, Rong, Maravilla, Kenneth, Marom, Ronit, Marth, Gabor, Martin, Beth A., Martin, Martin G., Martínez-Agosto, Julian A., Marwaha, Shruti, McCauley, Jacob, McConkie-Rosell, Allyn, McCray, Alexa T., McGee, Elisabeth, Mefford, Heather, Merritt, J. Lawrence, Might, Matthew, Mirzaa, Ghayda, Morava, Eva, Moretti, Paolo M., Nakano-Okuno, Mariko, Nelson, Stan F., Newman, John H., Nicholas, Sarah K., Nickerson, Deborah, Nieves-Rodriguez, Shirley, Novacic, Donna, Oglesbee, Devin, Orengo, James P., Pace, Laura, Pak, Stephen, Pallais, J. Carl, Palmer, Christina GS., Papp, Jeanette C., Parker, Neil H., Phillips, John A., III, Posey, Jennifer E., Potocki, Lorraine, Pusey, Barbara N., Quinlan, Aaron, Raskind, Wendy, Raja, Archana N., Rao, Deepak A., Raper, Anna, Renteria, Genecee, Reuter, Chloe M., Rives, Lynette, Robertson, Amy K., Rodan, Lance H., Rosenfeld, Jill A., Rosenwasser, Natalie, Rossignol, Francis, Ruzhnikov, Maura, Sacco, Ralph, Sampson, Jacinda B., Saporta, Mario, Schaechter, Judy, Schedl, Timothy, Schoch, Kelly, Scott, C. Ron, Scott, Daryl A., Shashi, Vandana, Shin, Jimann, Silverman, Edwin K., Sinsheimer, Janet S., Sisco, Kathy, Smith, Edward C., Smith, Kevin S., Solem, Emily, Krezel, Lilianna Solnica, Solomon, Ben, Spillmann, Rebecca C., Stoler, Joan M., Sullivan, Jennifer A., Sullivan, Kathleen, Sun, Angela, Sutton, Shirley, Sweetser, David A., Sybert, Virginia, Tabor, Holly K., Tan, Amelia L.M., Tan, Queenie K.- G., Tekin, Mustafa, Telischi, Fred, Thorson, Willa, Tifft, Cynthia J., Toro, Camilo, Tran, Alyssa A., Tucker, Brianna M., Urv, Tiina K., Vanderver, Adeline, Velinder, Matt, Viskochil, Dave, Vogel, Tiphanie P., Wahl, Colleen E., Walker, Melissa, Wallace, Stephanie, Walley, Nicole M., Wambach, Jennifer, Wan, Jijun, Wang, Lee-kai, Wangler, Michael F., Ward, Patricia A., Wegner, Daniel, Weisz-Hubshman, Monika, Wener, Mark, Wenger, Tara, Perry, Katherine Wesseling, Westerfield, Monte, Wheeler, Matthew T., Whitlock, Jordan, Wolfe, Lynne A., Worley, Kim, Xiao, Changrui, Yamamoto, Shinya, Yang, John, Zastrow, Diane B., Zhang, Zhe, Zhao, Chunli, Zuchner, Stephan, Tepe, Burak, Macke, Erica L., Niceta, Marcello, Weisz Hubshman, Monika, Kanca, Oguz, Schultz-Rogers, Laura, Zarate, Yuri A., Schaefer, G. Bradley, Granadillo De Luque, Jorge Luis, Wegner, Daniel J., Cogne, Benjamin, Gilbert-Dussardier, Brigitte, Le Guillou, Xavier, Wagner, Eric J., Pais, Lynn S., Neil, Jennifer E., Mochida, Ganeshwaran H., Walsh, Christopher A., Magal, Nurit, Drasinover, Valerie, Shohat, Mordechai, Schwab, Tanya, Schmitz, Chris, Clark, Karl, Fine, Anthony, Lanpher, Brendan, Gavrilova, Ralitza, Blanc, Pierre, Burglen, Lydie, Afenjar, Alexandra, Steel, Dora, Kurian, Manju A., Prabhakar, Prab, Gößwein, Sophie, Di Donato, Nataliya, Bertini, Enrico S., Tartaglia, Marco, and Klee, Eric W.
Published: 2023
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40. A concurrent dual analysis of genomic data augments diagnoses: Experiences of 2 clinical sites in the Undiagnosed Diseases Network

Author: Acosta, Maria T., Adam, Margaret, Adams, David R., Alvey, Justin, Amendola, Laura, Andrews, Ashley, Ashley, Euan A., Azamian, Mahshid S., Bacino, Carlos A., Bademci, Guney, Balasubramanyam, Ashok, Baldridge, Dustin, Bale, Jim, Bamshad, Michael, Barbouth, Deborah, Bayrak-Toydemir, Pinar, Beck, Anita, Beggs, Alan H., Behrens, Edward, Bejerano, Gill, Bellen, Hugo J., Bennet, Jimmy, Berg-Rood, Beverly, Bernstein, Jonathan A., Berry, Gerard T., Bican, Anna, Bivona, Stephanie, Blue, Elizabeth, Bohnsack, John, Bonner, Devon, Botto, Lorenzo, Boyd, Brenna, Briere, Lauren C., Brokamp, Elly, Brown, Gabrielle, Burke, Elizabeth A., Burrage, Lindsay C., Butte, Manish J., Byers, Peter, Byrd, William E., Carey, John, Carrasquillo, Olveen, Cassini, Thomas, Peter Chang, Ta Chen, Chanprasert, Sirisak, Chao, Hsiao-Tuan, Clark, Gary D., Coakley, Terra R., Cobban, Laurel A., Cogan, Joy D., Coggins, Matthew, Cole, F. Sessions, Colley, Heather A., Cooper, Cynthia M., Craigen, William J., Crouse, Andrew B., Cunningham, Michael, D’Souza, Precilla, Dai, Hongzheng, Dasari, Surendra, Davis, Joie, Dayal, Jyoti G., Deardorff, Matthew, Dell’Angelica, Esteban C., Dipple, Katrina, Doherty, Daniel, Dorrani, Naghmeh, Doss, Argenia L., Douine, Emilie D., Duncan, Laura, Earl, Dawn, Eckstein, David J., Emrick, Lisa T., Eng, Christine M., Esteves, Cecilia, Falk, Marni, Fernandez, Liliana, Fieg, Elizabeth L., Fisher, Paul G., Fogel, Brent L., Forghani, Irman, Gahl, William A., Glass, Ian, Gochuico, Bernadette, Godfrey, Rena A., Golden-Grant, Katie, Goldrich, Madison P., Grajewski, Alana, Gutierrez, Irma, Hadley, Don, Hahn, Sihoun, Hamid, Rizwan, Hassey, Kelly, Hayes, Nichole, High, Frances, Hing, Anne, Hisama, Fuki M., Holm, Ingrid A., Hom, Jason, Horike-Pyne, Martha, Huang, Alden, Huang, Yong, Introne, Wendy, Isasi, Rosario, Izumi, Kosuke, Jamal, Fariha, Jarvik, Gail P., Jarvik, Jeffrey, Jayadev, Suman, Jean-Marie, Orpa, Jobanputra, Vaidehi, Karaviti, Lefkothea, Kennedy, Jennifer, Ketkar, Shamika, Kiley, Dana, Kilich, Gonench, Kobren, Shilpa N., Kohane, Isaac S., Kohler, Jennefer N., Krakow, Deborah, Krasnewich, Donna M., Kravets, Elijah, Korrick, Susan, Koziura, Mary, Lalani, Seema R., Lam, Byron, Lam, Christina, LaMoure, Grace L., Lanpher, Brendan C., Lanza, Ian R., LeBlanc, Kimberly, Lee, Brendan H., Levitt, Roy, Lewis, Richard A., Liu, Pengfei, Liu, Xue Zhong, Longo, Nicola, Loo, Sandra K., Loscalzo, Joseph, Maas, Richard L., Macnamara, Ellen F., MacRae, Calum A., Maduro, Valerie V., Mahoney, Rachel, Mak, Bryan C., Malicdan, May Christine V., Mamounas, Laura A., Manolio, Teri A., Mao, Rong, Maravilla, Kenneth, Marom, Ronit, Marth, Gabor, Martin, Beth A., Martin, Martin G., Martínez-Agosto, Julian A., Marwaha, Shruti, McCauley, Jacob, McConkie-Rosell, Allyn, McCray, Alexa T., McGee, Elisabeth, Mefford, Heather, Merritt, J. Lawrence, Might, Matthew, Mirzaa, Ghayda, Morava, Eva, Moretti, Paolo M., Nakano-Okuno, Mariko, Nelson, Stan F., Newman, John H., Nicholas, Sarah K., Nickerson, Deborah, Nieves-Rodriguez, Shirley, Novacic, Donna, Oglesbee, Devin, Orengo, James P., Pace, Laura, Pak, Stephen, Pallais, J. Carl, Palmer, Christina G.S., Papp, Jeanette C., Parker, Neil H., Phillips, John A., III, Posey, Jennifer E., Potocki, Lorraine, Pusey, Barbara N., Quinlan, Aaron, Raskind, Wendy, Raja, Archana N., Rao, Deepak A., Raper, Anna, Renteria, Genecee, Reuter, Chloe M., Rives, Lynette, Robertson, Amy K., Rodan, Lance H., Rosenfeld, Jill A., Rosenwasser, Natalie, Rossignol, Francis, Ruzhnikov, Maura, Sacco, Ralph, Sampson, Jacinda B., Saporta, Mario, Schaechter, Judy, Schedl, Timothy, Schoch, Kelly, Scott, C. Ron, Scott, Daryl A., Shashi, Vandana, Shin, Jimann, Silverman, Edwin K., Sinsheimer, Janet S., Sisco, Kathy, Smith, Edward C., Smith, Kevin S., Solem, Emily, Solnica-Krezel, Lilianna, Solomon, Ben, Spillmann, Rebecca C., Stoler, Joan M., Sullivan, Jennifer A., Sullivan, Kathleen, Sun, Angela, Sutton, Shirley, Sweetser, David A., Sybert, Virginia, Tabor, Holly K., Tan, Amelia L.M., Tan, Queenie K.-G., Tekin, Mustafa, Telischi, Fred, Thorson, Willa, Tifft, Cynthia J., Toro, Camilo, Tran, Alyssa A., Tucker, Brianna M., Urv, Tiina K., Vanderver, Adeline, Velinder, Matt, Viskochil, Dave, Vogel, Tiphanie P., Wahl, Colleen E., Walker, Melissa, Wallace, Stephanie, Walley, Nicole M., Wambach, Jennifer, Wan, Jijun, Wang, Lee-kai, Wangler, Michael F., Ward, Patricia A., Wegner, Daniel, Weisz-Hubshman, Monika, Wener, Mark, Wenger, Tara, Perry, Katherine Wesseling, Westerfield, Monte, Wheeler, Matthew T., Whitlock, Jordan, Wolfe, Lynne A., Worley, Kim, Xiao, Changrui, Yamamoto, Shinya, Yang, John, Zastrow, Diane B., Zhang, Zhe, Zhao, Chunli, Zuchner, Stephan, Reuter, Chloe, Kohler, Jennefer, Zastrow, Diane, Alkelai, Anna, Baugh, Evan, and Cope, Heidi
Published: 2023
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41. Exome and genome sequencing in a heterogeneous population of patients with rare disease: Identifying predictors of a diagnosis

Author: Pucel, Jenna, primary, Briere, Lauren C., additional, Reuter, Chloe, additional, Gochyyev, Perman, additional, Acosta, Maria T., additional, Adams, David R., additional, Alvarez, Raquel L., additional, Alvey, Justin, additional, Allworth, Aimee, additional, Andrews, Ashley, additional, Ashley, Euan A., additional, Bacino, Carlos A., additional, Bademci, Guney, additional, Balasubramanyam, Ashok, additional, Baldridge, Dustin, additional, Bale, Jim, additional, Bamshad, Michael, additional, Barbouth, Deborah, additional, Bayrak-Toydemir, Pinar, additional, Beck, Anita, additional, Beggs, Alan H., additional, Behrens, Edward, additional, Bejerano, Gill, additional, Bellen, Hugo J., additional, Bennett, Jimmy, additional, Bernstein, Jonathan A., additional, Berry, Gerard T., additional, Bican, Anna, additional, Bivona, Stephanie, additional, Blue, Elizabeth, additional, Bohnsack, John, additional, Bonner, Devon, additional, Botto, Lorenzo, additional, Brown, Gabrielle, additional, Burke, Elizabeth A., additional, Burrage, Lindsay C., additional, Butte, Manish J., additional, Byers, Peter, additional, Byrd, William E., additional, Carey, John, additional, Carrasquillo, Olveen, additional, Cassini, Thomas, additional, Peter Chang, Ta Chen, additional, Chanprasert, Sirisak, additional, Chao, Hsiao-Tuan, additional, Chinn, Ivan, additional, Clark, Gary D., additional, Coakley, Terra R., additional, Cobban, Laurel A., additional, Cogan, Joy D., additional, Coggins, Matthew, additional, Cole, F. Sessions, additional, Colley, Heather A., additional, Cope, Heidi, additional, Corona, Rosario, additional, Craigen, William J., additional, Crouse, Andrew B., additional, Cunningham, Michael, additional, D’Souza, Precilla, additional, Dai, Hongzheng, additional, Dasari, Surendra, additional, Davis, Joie, additional, Dayal, Jyoti G., additional, Dell'Angelica, Esteban C., additional, Dipple, Katrina, additional, Doherty, Daniel, additional, Dorrani, Naghmeh, additional, Doss, Argenia L., additional, Douine, Emilie D., additional, Earl, Dawn, additional, Eckstein, David J., additional, Emrick, Lisa T., additional, Eng, Christine M., additional, Falk, Marni, additional, Fieg, Elizabeth L., additional, Fisher, Paul G., additional, Fogel, Brent L., additional, Forghani, Irman, additional, Gahl, William A., additional, Glass, Ian, additional, Gochuico, Bernadette, additional, Goddard, Page C., additional, Godfrey, Rena A., additional, Grajewski, Alana, additional, Hadley, Don, additional, Halley, Meghan C., additional, Hamid, Rizwan, additional, Hassey, Kelly, additional, Hayes, Nichole, additional, High, Frances, additional, Hing, Anne, additional, Hisama, Fuki M., additional, Holm, Ingrid A., additional, Hom, Jason, additional, Horike-Pyne, Martha, additional, Huang, Alden, additional, Hutchison, Sarah, additional, Introne, Wendy, additional, Isasi, Rosario, additional, Izumi, Kosuke, additional, Jarvik, Gail P., additional, Jarvik, Jeffrey, additional, Jayadev, Suman, additional, Jean-Marie, Orpa, additional, Jobanputra, Vaidehi, additional, Kaitryn, Emerald, additional, Ketkar, Shamika, additional, Kiley, Dana, additional, Kilich, Gonench, additional, Kobren, Shilpa N., additional, Kohane, Isaac S., additional, Kohler, Jennefer N., additional, Korrick, Susan, additional, Krakow, Deborah, additional, Krasnewich, Donna M., additional, Kravets, Elijah, additional, Lalani, Seema R., additional, Lam, Byron, additional, Lam, Christina, additional, Lanpher, Brendan C., additional, Lanza, Ian R., additional, LeBlanc, Kimberly, additional, Lee, Brendan H., additional, Levitt, Roy, additional, Lewis, Richard A., additional, Liu, Pengfei, additional, Liu, Xue Zhong, additional, Longo, Nicola, additional, Loo, Sandra K., additional, Loscalzo, Joseph, additional, Maas, Richard L., additional, Macnamara, Ellen F., additional, MacRae, Calum A., additional, Maduro, Valerie V., additional, Maghiro, AudreyStephannie, additional, Mahoney, Rachel, additional, Malicdan, May Christine V., additional, Mamounas, Laura A., additional, Manolio, Teri A., additional, Mao, Rong, additional, Marom, Ronit, additional, Marth, Gabor, additional, Martin, Beth A., additional, Martin, Martin G., additional, Martínez-Agosto, Julian A., additional, Marwaha, Shruti, additional, McCauley, Jacob, additional, McConkie-Rosell, Allyn, additional, McCray, Alexa T., additional, McGee, Elisabeth, additional, Might, Matthew, additional, Miller, Danny, additional, Mirzaa, Ghayda, additional, Morava, Eva, additional, Moretti, Paolo, additional, Mulvihill, John J., additional, Nakano-Okuno, Mariko, additional, Nelson, Stanley F., additional, Nieves-Rodriguez, Shirley, additional, Novacic, Donna, additional, Oglesbee, Devin, additional, Orengo, James P., additional, Pace, Laura, additional, Pak, Stephen, additional, Pallais, J. Carl, additional, Palmer, Christina G.S., additional, Papp, Jeanette C., additional, Parker, Neil H., additional, Phillips, John A., additional, Posey, Jennifer E., additional, Potocki, Lorraine, additional, Pusey Swerdzewski, Barbara N., additional, Quinlan, Aaron, additional, Rao, Deepak A., additional, Raper, Anna, additional, Raskind, Wendy, additional, Renteria, Genecee, additional, Reuter, Chloe M., additional, Rives, Lynette, additional, Robertson, Amy K., additional, Rodan, Lance H., additional, Rosenfeld, Jill A., additional, Rosenthal, Elizabeth, additional, Rossignol, Francis, additional, Ruzhnikov, Maura, additional, Sacco, Ralph, additional, Sampson, Jacinda B., additional, Saporta, Mario, additional, Schaechter, Judy, additional, Schedl, Timothy, additional, Schoch, Kelly, additional, Scott, Daryl A., additional, Seto, Elaine, additional, Shashi, Vandana, additional, Shelkowitz, Emily, additional, Sheppeard, Sam, additional, Shin, Jimann, additional, Silverman, Edwin K., additional, Sinsheimer, Janet S., additional, Sisco, Kathy, additional, Smith, Edward C., additional, Smith, Kevin S., additional, Solnica-Krezel, Lilianna, additional, Solomon, Ben, additional, Spillmann, Rebecca C., additional, Stergachis, Andrew, additional, Stoler, Joan M., additional, Sullivan, Kathleen, additional, Sullivan, Jennifer A., additional, Sutton, Shirley, additional, Sweetser, David A., additional, Sybert, Virginia, additional, Tabor, Holly K., additional, Tan, Queenie K.-G., additional, Tan, Amelia L.M., additional, Tarakad, Arjun, additional, Tekin, Mustafa, additional, Telischi, Fred, additional, Thorson, Willa, additional, Tifft, Cynthia J., additional, Toro, Camilo, additional, Tran, Alyssa A., additional, Ungar, Rachel A., additional, Urv, Tiina K., additional, Vanderver, Adeline, additional, Velinder, Matt, additional, Viskochil, Dave, additional, Vogel, Tiphanie P., additional, Wahl, Colleen E., additional, Walker, Melissa, additional, Walley, Nicole M., additional, Wambach, Jennifer, additional, Wan, Jijun, additional, Wang, Lee-kai, additional, Wangler, Michael F., additional, Ward, Patricia A., additional, Wegner, Daniel, additional, Hubshman, Monika Weisz, additional, Wener, Mark, additional, Wenger, Tara, additional, Westerfield, Monte, additional, Wheeler, Matthew T., additional, Whitlock, Jordan, additional, Wolfe, Lynne A., additional, Worley, Kim, additional, Xiao, Changrui, additional, Yamamoto, Shinya, additional, Yang, John, additional, Zhang, Zhe, additional, and Zuchner, Stephan, additional
Published: 2024
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42. BioSimulator.jl: Stochastic simulation in Julia

Author: Landeros, Alfonso, Stutz, Timothy, Keys, Kevin L., Alekseyenko, Alexander, Sinsheimer, Janet S., Lange, Kenneth, and Sehl, Mary
Subjects: Quantitative Biology - Quantitative Methods, Mathematics - Dynamical Systems
Abstract: Biological systems with intertwined feedback loops pose a challenge to mathematical modeling efforts. Moreover, rare events, such as mutation and extinction, complicate system dynamics. Stochastic simulation algorithms are useful in generating time-evolution trajectories for these systems because they can adequately capture the influence of random fluctuations and quantify rare events. We present a simple and flexible package, BioSimulator.jl, for implementing the Gillespie algorithm, $\tau$-leaping, and related stochastic simulation algorithms. The objective of this work is to provide scientists across domains with fast, user-friendly simulation tools. We used the high-performance programming language Julia because of its emphasis on scientific computing. Our software package implements a suite of stochastic simulation algorithms based on Markov chain theory. We provide the ability to (a) diagram Petri Nets describing interactions, (b) plot average trajectories and attached standard deviations of each participating species over time, and (c) generate frequency distributions of each species at a specified time. BioSimulator.jl's interface allows users to build models programmatically within Julia. A model is then passed to the simulate routine to generate simulation data. The built-in tools allow one to visualize results and compute summary statistics. Our examples highlight the broad applicability of our software to systems of varying complexity from ecology, systems biology, chemistry, and genetics. The user-friendly nature of BioSimulator.jl encourages the use of stochastic simulation, minimizes tedious programming efforts, and reduces errors during model specification., Comment: 27 pages, 5 figures, 3 tables
Published: 2018
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43. The Roles of Physical Activity and Inflammation in Mortality, Cognition, and Depressive Symptoms Among Older Mexican Americans

Author: Shih, I-Fan, Haan, Mary N, Paul, Kimberly C, Yu, Yu, Sinsheimer, Janet S, and Ritz, Beate
Subjects: Behavioral and Social Science, Acquired Cognitive Impairment, Aging, Brain Disorders, Clinical Research, Depression, Dementia, Mental Health, Neurological, Good Health and Well Being, Aged, Biomarkers, C-Reactive Protein, California, Cognition, Cohort Studies, Exercise, Female, Humans, Inflammation, Interleukin-6, Male, Mexican Americans, Middle Aged, Mortality, Tumor Necrosis Factor-alpha, dementia, depression, inflammation, mediation, mortality, physical activity, Mathematical Sciences, Medical and Health Sciences, Epidemiology
Abstract: A higher level of physical activity (PA) is associated with decreased risk of mortality, dementia, and depression, yet the mechanisms involved are not well understood, and little evidence exists for Mexican Americans. With data from the Sacramento Area Latino Study on Aging (1998-2007), we used Cox proportional hazards regression to separately evaluate associations of baseline PA level with mortality, dementia/cognitive impairment without dementia (CIND), and depressive symptoms, and we estimated the mediating effects of inflammatory markers in additive hazard models. A low level of PA (
Published: 2019

44. Reverse gene-environment interaction approach to identify variants influencing body-mass index in humans.

Author: Garske, Kristina M, Pan, David Z, Miao, Zong, Bhagat, Yash V, Comenho, Caroline, Robles, Christopher R, Benhammou, Jihane N, Alvarez, Marcus, Ko, Arthur, Ye, Chun Jimmie, Pisegna, Joseph R, Mohlke, Karen L, Sinsheimer, Janet S, Laakso, Markku, and Pajukanta, Päivi
Subjects: Cells, Cultured, Humans, Obesity, Dietary Fats, Body Mass Index, Models, Genetic, Gene-Environment Interaction, Human Genome, Nutrition, Clinical Research, Genetics, 1.1 Normal biological development and functioning, Metabolic and endocrine
Abstract: Identifying gene-environment interactions (GxEs) contributing to human cardiometabolic disorders is challenging. Here we apply a reverse GxE candidate search by deriving candidate variants from promoter-enhancer interactions that respond to dietary fatty acid challenge through altered chromatin accessibility in human primary adipocytes. We then test all variants residing in the lipid-responsive open chromatin sites within adipocyte promoter-enhancer contacts for interaction effects between the genotype and dietary saturated fat intake on body mass index (BMI) in the UK Biobank. We discover 14 novel GxE variants in 12 lipid-responsive promoters, including well-known lipid genes (LIPE, CARM1, and PLIN2) and novel genes, such as LDB3, for which we provide further functional and integrative genomics evidence. We further identify 24 GxE variants in enhancers, totaling 38 new GxE variants for BMI in the UK Biobank, demonstrating that molecular genomics data produced in physiologically relevant contexts can discover new functional GxE mechanisms in humans.
Published: 2019

45. Genetic variants in nicotinic receptors and smoking cessation in Parkinson's disease

Author: Chuang, Yu-Hsuan, Paul, Kimberly C, Sinsheimer, Janet S, Bronstein, Jeff M, Bordelon, Yvette M, and Ritz, Beate
Subjects: Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Aging, Tobacco, Substance Misuse, Tobacco Smoke and Health, Neurodegenerative, Prevention, Genetics, Neurosciences, Brain Disorders, Parkinson's Disease, Clinical Research, 2.1 Biological and endogenous factors, Neurological, Good Health and Well Being, Adult, Aged, Aged, 80 and over, Alleles, Female, Genetic Association Studies, Humans, Male, Middle Aged, Nerve Tissue Proteins, Parkinson Disease, Polymorphism, Single Nucleotide, Receptors, Nicotinic, Smoking, Smoking Cessation, Parkinson's disease, Nicotinic receptor, CHRNA3, Smoking cessation, Clinical Sciences, Cognitive Sciences, Neurology & Neurosurgery, Clinical sciences, Biological psychology
Abstract: BackgroundNegative associations between smoking and Parkinson's disease (PD) are well documented. While common biases may not explain this association, some studies have suggested reverse causality and ease of quitting might be an early sign of PD, possibly related to a reduced nicotinic response. We investigated nicotinic receptor (nAChR) genetics to add to our understanding of possible biologic mechanisms underlying the smoking-PD relationship.MethodsWe relied on 612 patients and 691 controls enrolled in the PEG (Parkinson's Environment and Gene) study for whom we obtained information on smoking and quitting ease through interviews. Genotyping in the nAChR genes, i.e. CHRNA5-A3-B4 and CHRNB3-A6 gene regions that have been linked to smoking or quitting behaviors, were based on blood and saliva DNA samples. We assessed associations with logistic regression assuming logit-additive allelic effects and used product terms for genetic allele status and smoking or quitting assessing interactions.ResultsAs expected, we observed negative associations between smoking and PD that were strongest for current followed by former smokers. In former smokers, high quitting difficulty was negatively associated with PD risk (extremely hard vs. easy: OR = 0.62 [0.39-0.99], p = 0.05), meaning those who developed PD were able to quit smoking with less difficulty than controls. The CHRNA3 rs578776-A allele predicted quitting difficulty in smoking controls (OR = 0.53 [0.32-0.91], p = 0.02), but not in smoking PD patients (OR = 1.09 [0.61-1.95], p = 0.77).ConclusionOur study further corroborates previous findings that ease of quitting may be an early sign of PD onset related to a loss of nicotinic response in prodromal stages.
Published: 2019

46. Iterative Hard Thresholding in GWAS: Generalized Linear Models, Prior Weights, and Double Sparsity

Author: Chu, Benjamin B, Keys, Kevin L, German, Christopher A, Zhou, Hua, Zhou, Jin J, Sobel, Eric, Sinsheimer, Janet S, and Lange, Kenneth
Subjects: Human Genome, Genetics, 2.5 Research design and methodologies (aetiology), Aetiology
Abstract: 1 Background Consecutive testing of single nucleotide polymorphisms (SNPs) is usually employed to identify genetic variants associated with complex traits. Ideally one should model all covariates in unison, but most existing analysis methods for genome-wide association studies (GWAS) perform only univariate regression. Results We extend and efficiently implement iterative hard thresholding (IHT) for multiple regression, treating all SNPs simultaneously. Our extensions accommodate generalized linear models (GLMs), prior information on genetic variants, and grouping of variants. In our simulations, IHT recovers up to 30% more true predictors than SNP-by-SNP association testing, and exhibits a 2 to 3 orders of magnitude decrease in false positive rates compared to lasso regression. We also test IHT on the UK Biobank hypertension phenotypes and the Northern Finland Birth Cohort of 1966 cardiovascular phenotypes. We find that IHT scales to the large datasets of contemporary human genetics and recovers the plausible genetic variants identified by previous studies. Conclusions Our real data analysis and simulation studies suggest that IHT can (a) recover highly correlated predictors, (b) avoid over-fitting, (c) deliver better true positive and false positive rates than either marginal testing or lasso regression, (d) recover unbiased regression coefficients, (e) exploit prior information and group-sparsity and (f) be used with biobank sized data sets. Although these advances are studied for GWAS inference, our extensions are pertinent to other regression problems with large numbers of predictors.
Published: 2019

47. Identification of 90 NAFLD GWAS loci and establishment of NAFLD PRS and causal role of NAFLD in coronary artery disease

Author: Miao, Zong, Garske, Kristina M., Pan, David Z., Koka, Amogha, Kaminska, Dorota, Männistö, Ville, Sinsheimer, Janet S., Pihlajamäki, Jussi, and Pajukanta, Päivi
Published: 2022
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48. Systems Genetics Approach to Biomarker Discovery: GPNMB and Heart Failure in Mice and Humans.

Author: Lin, Liang-Yu, Chun Chang, Sunny, O'Hearn, Jim, Hui, Simon T, Seldin, Marcus, Gupta, Pritha, Bondar, Galyna, Deng, Mario, Jauhiainen, Raimo, Kuusisto, Johanna, Laakso, Markku, Sinsheimer, Janet S, Deb, Arjun, Rau, Christoph, Ren, Shuxun, Wang, Yibin, Lusis, Aldons J, Wang, Jessica J, and Huertas-Vazquez, Adriana
Subjects: Animals, Mice, Inbred C57BL, Humans, Disease Models, Animal, Eye Proteins, Membrane Glycoproteins, Galectin 3, Tissue Inhibitor of Metalloproteinase-1, Computational Biology, Aged, Middle Aged, Female, Male, Heart Failure, Transcriptome, Biomarkers, Biomarkers, GPNMB, Heart failure, Systems genetics, Transcriptome, GPNMB, Systems genetics, Biotechnology, Human Genome, Cardiovascular, Clinical Research, Genetics, Heart Disease, 2.1 Biological and endogenous factors
Abstract: We describe a simple bioinformatics method for biomarker discovery that is based on the analysis of global transcript levels in a population of inbred mouse strains showing variation for disease-related traits. This method has advantages such as controlled environment and accessibility to heart and plasma tissue in the preclinical selection stage. We illustrate the approach by identifying candidate heart failure (HF) biomarkers by overlaying mouse transcriptome and clinical traits from 91 Hybrid Mouse Diversity Panel (HMDP) inbred strains and human HF transcriptome from the Myocardial Applied Genomics Network (MAGNet) consortium. We found that some of the top differentially expressed genes correlated with known human HF biomarkers, such as galectin-3 and tissue inhibitor of metalloproteinase 1. Using ELISA assays, we investigated one novel candidate, Glycoprotein NMB, in a mouse model of chronic β-adrenergic stimulation by isoproterenol (ISO) induced HF. We observed significantly lower GPNMB plasma levels in the ISO model compared to the control group (p-value = 0.007). In addition, we assessed GPNMB plasma levels among 389 HF cases and controls from the METabolic Syndrome In Men (METSIM) study. Lower levels of GPNMB were also observed in patients with HF from the METSIM study compared to non-HF controls (p-value < 0.0001). In summary, we have identified several candidate biomarkers for HF using the cardiac transcriptome data in a population of mice that may be directly relevant and applicable to human populations.
Published: 2018

49. Filtering nucleotide sites by phylogenetic signal to noise ratio increases confidence in the Neoaves phylogeny generated from ultraconserved elements

Author: Gilbert, Princess S, Wu, Jing, Simon, Margaret W, Sinsheimer, Janet S, and Alfaro, Michael E
Subjects: Biological Sciences, Evolutionary Biology, Genetics, Human Genome, Animals, Birds, Nucleotides, Phylogeny, Regulatory Sequences, Nucleic Acid, Signal-To-Noise Ratio, Ultraconserved elements, Neoaves, Phylogenetic signal, Non-coding DNA, Zoology, Evolutionary biology
Abstract: Despite genome scale analyses, high-level relationships among Neoaves birds remain contentious. The placements of the Neoaves superorders are notoriously difficult to resolve because they involve deep splits followed by short internodes. Using our approach, we investigate whether filtering UCE loci on their phylogenetic signal to noise ratio helps to resolve key nodes in the Neoaves tree of life. We find that our analysis of data sets filtered for high signal to noise ratio results in topologies that are inconsistent with unfiltered results but that are congruent with whole-genome analyses. These relationships include the Columbea + Passerea sister relationship and the Phaethontimorphae + Aequornithia sister relationship. We also find increased statistical support for more recent nodes (i.e. the Pelecanidae + Ardeidae sister relationship, the Eucavitaves clade, and the Otidiformes + Musophagiformes sister relationship). We also find instances where support is reduced for well-established clades, possibly due to the removal of sites with moderate signal-to-noise ratio. Our results suggest that filtering on the basis of signal to noise ratio is a useful tool for resolving problematic splits in phylogenomic data sets.
Published: 2018

50. Understanding Adult Participant and Parent Empowerment Prior to Evaluation in the Undiagnosed Diseases Network.

Author: Palmer, Christina GS, McConkie-Rosell, Allyn, Holm, Ingrid A, LeBlanc, Kimberly, Sinsheimer, Janet S, Briere, Lauren C, Dorrani, Naghmeh, Herzog, Matthew R, Lincoln, Sharyn, Schoch, Kelly, Spillmann, Rebecca C, Brokamp, Elly, and Undiagnosed Diseases Network
Subjects: Undiagnosed Diseases Network, Humans, Diagnosis, Uncertainty, Pilot Projects, Reproducibility of Results, Adaptation, Psychological, Parents, Decision Making, Genetic Counseling, Adult, Child, Infant, Disease Management, Female, Male, Surveys and Questionnaires, Patient Reported Outcome Measures, Power, Psychological, Empowerment, Genetic counseling, Support groups, Undiagnosed condition, Undiagnosed disease, Clinical Research, Clinical Sciences, Genetics & Heredity
Abstract: The burden of living with an undiagnosed condition is high and includes physical and emotional suffering, frustrations, and uncertainty. For patients and families experiencing these stressors, higher levels of empowerment may be associated with better outcomes. Thus, it is important to understand the experiences of patients with undiagnosed conditions and their families affected by undiagnosed conditions in order to identify strategies for fostering empowerment. In this study, we used the Genetic Counseling Outcome Scale (GCOS-24) to assess levels of empowerment and support group participation in 35 adult participants and 67 parents of child participants in the Undiagnosed Diseases Network (UDN) prior to their UDN in-person evaluation. Our results revealed significantly lower empowerment scores on the GCOS-24 in adult participants compared to parents of child participants [t(100) = - 3.01, p = 0.003, average difference = - 11.12, 95% CI (- 3.78, - 18.46)] and no significant association between support group participation and empowerment scores. The majority of participants (84.3%, 86/102) are not currently participating in any support groups, and participation rates were not significantly different for adult participants and parents of child participants (11.4 vs. 19.7%, respectively, FE p = 0.40). Open-ended responses provided additional insight into support group participation, the challenges of living with undiagnosed conditions, and positive coping strategies. Future research will evaluate the extent to which empowerment scores change as participation in the UDN unfolds.
Published: 2018

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