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1. Racial/Ethnic Disparities in Measures of Self-reported Psychosocial States and Traits during Pregnancy

Author

Grobman, William A, Parker, Corette, Wadhwa, Pathik D, Willinger, Marian, Simhan, Hyagriv, Silver, Bob, Wapner, Ron J, Parry, Samuel, Mercer, Brian, Haas, David, Peaceman, Alan M, Hunter, Shannon, Wing, Deborah, Caritis, Steve, Esplin, Sean, Hoffman, Matt, Ludmir, Jack, Iams, Jay, Long, Emily, Saade, George, and Reddy, Uma M

Subjects
Midwifery, Health Sciences, Basic Behavioral and Social Science, Mental Health, Behavioral and Social Science, Clinical Research, Good Health and Well Being, Adult, Female, Health Status Disparities, Healthcare Disparities, Humans, Logistic Models, Pregnancy, Pregnancy Complications, Prospective Studies, Psychiatric Status Rating Scales, Racial Groups, Self Report, Socioeconomic Factors, Stress, Psychological, United States, Young Adult, psychosocial, stress, disparities, pregnancy, Eunice Kennedy Shriver National Institute of Child Health Human Development nuMoM2b Network, Bethesda, MD, Clinical Sciences, Paediatrics and Reproductive Medicine, Obstetrics & Reproductive Medicine, Paediatrics, Reproductive medicine
Abstract

Background The aim of this study was to determine whether racial/ethnic differences in psychosocial measures, independent of economic status, exist among a large population of pregnant nulliparas. Methods Between October 2010 and September 2013, nulliparous women at eight U.S. medical centers were followed longitudinally during pregnancy and completed validated instruments to quantify several psychosocial domains: Cohen Perceived Stress Scale, trait subscale of the Spielberger Anxiety Inventory, Connor-Davidson Resilience Scale, Multidimensional Scale of Perceived Social Support, Krieger Racism Scale, Edinburgh Postnatal Depression Scale, and the Pregnancy Experience Scale. Scores were stratified and compared by self-reported race, ethnicity, and income. Results Complete data were available for 8,128 of the 10,038 women enrolled in the study. For all measures, race and ethnicity were significantly associated (p  0.05) except on the Krieger racism survey and the Edinburgh depression survey, which were exacerbated among NHB women with higher income (interaction, p

Published
2016

2. The Human Phenotype Ontology in 2024: phenotypes around the world

Author

Gargano, Michael A, primary, Matentzoglu, Nicolas, additional, Coleman, Ben, additional, Addo-Lartey, Eunice B, additional, Anagnostopoulos, Anna V, additional, Anderton, Joel, additional, Avillach, Paul, additional, Bagley, Anita M, additional, Bakštein, Eduard, additional, Balhoff, James P, additional, Baynam, Gareth, additional, Bello, Susan M, additional, Berk, Michael, additional, Bertram, Holli, additional, Bishop, Somer, additional, Blau, Hannah, additional, Bodenstein, David F, additional, Botas, Pablo, additional, Boztug, Kaan, additional, Čady, Jolana, additional, Callahan, Tiffany J, additional, Cameron, Rhiannon, additional, Carbon, Seth J, additional, Castellanos, Francisco, additional, Caufield, J Harry, additional, Chan, Lauren E, additional, Chute, Christopher G, additional, Cruz-Rojo, Jaime, additional, Dahan-Oliel, Noémi, additional, Davids, Jon R, additional, de Dieuleveult, Maud, additional, de Souza, Vinicius, additional, de Vries, Bert B A, additional, de Vries, Esther, additional, DePaulo, J Raymond, additional, Derfalvi, Beata, additional, Dhombres, Ferdinand, additional, Diaz-Byrd, Claudia, additional, Dingemans, Alexander J M, additional, Donadille, Bruno, additional, Duyzend, Michael, additional, Elfeky, Reem, additional, Essaid, Shahim, additional, Fabrizzi, Carolina, additional, Fico, Giovanna, additional, Firth, Helen V, additional, Freudenberg-Hua, Yun, additional, Fullerton, Janice M, additional, Gabriel, Davera L, additional, Gilmour, Kimberly, additional, Giordano, Jessica, additional, Goes, Fernando S, additional, Moses, Rachel Gore, additional, Green, Ian, additional, Griese, Matthias, additional, Groza, Tudor, additional, Gu, Weihong, additional, Guthrie, Julia, additional, Gyori, Benjamin, additional, Hamosh, Ada, additional, Hanauer, Marc, additional, Hanušová, Kateřina, additional, He, Yongqun (Oliver), additional, Hegde, Harshad, additional, Helbig, Ingo, additional, Holasová, Kateřina, additional, Hoyt, Charles Tapley, additional, Huang, Shangzhi, additional, Hurwitz, Eric, additional, Jacobsen, Julius O B, additional, Jiang, Xiaofeng, additional, Joseph, Lisa, additional, Keramatian, Kamyar, additional, King, Bryan, additional, Knoflach, Katrin, additional, Koolen, David A, additional, Kraus, Megan L, additional, Kroll, Carlo, additional, Kusters, Maaike, additional, Ladewig, Markus S, additional, Lagorce, David, additional, Lai, Meng-Chuan, additional, Lapunzina, Pablo, additional, Laraway, Bryan, additional, Lewis-Smith, David, additional, Li, Xiarong, additional, Lucano, Caterina, additional, Majd, Marzieh, additional, Marazita, Mary L, additional, Martinez-Glez, Victor, additional, McHenry, Toby H, additional, McInnis, Melvin G, additional, McMurry, Julie A, additional, Mihulová, Michaela, additional, Millett, Caitlin E, additional, Mitchell, Philip B, additional, Moslerová, Veronika, additional, Narutomi, Kenji, additional, Nematollahi, Shahrzad, additional, Nevado, Julian, additional, Nierenberg, Andrew A, additional, Čajbiková, Nikola Novák, additional, Nurnberger, John I, additional, Ogishima, Soichi, additional, Olson, Daniel, additional, Ortiz, Abigail, additional, Pachajoa, Harry, additional, Perez de Nanclares, Guiomar, additional, Peters, Amy, additional, Putman, Tim, additional, Rapp, Christina K, additional, Rath, Ana, additional, Reese, Justin, additional, Rekerle, Lauren, additional, Roberts, Angharad M, additional, Roy, Suzy, additional, Sanders, Stephan J, additional, Schuetz, Catharina, additional, Schulte, Eva C, additional, Schulze, Thomas G, additional, Schwarz, Martin, additional, Scott, Katie, additional, Seelow, Dominik, additional, Seitz, Berthold, additional, Shen, Yiping, additional, Similuk, Morgan N, additional, Simon, Eric S, additional, Singh, Balwinder, additional, Smedley, Damian, additional, Smith, Cynthia L, additional, Smolinsky, Jake T, additional, Sperry, Sarah, additional, Stafford, Elizabeth, additional, Stefancsik, Ray, additional, Steinhaus, Robin, additional, Strawbridge, Rebecca, additional, Sundaramurthi, Jagadish Chandrabose, additional, Talapova, Polina, additional, Tenorio Castano, Jair A, additional, Tesner, Pavel, additional, Thomas, Rhys H, additional, Thurm, Audrey, additional, Turnovec, Marek, additional, van Gijn, Marielle E, additional, Vasilevsky, Nicole A, additional, Vlčková, Markéta, additional, Walden, Anita, additional, Wang, Kai, additional, Wapner, Ron, additional, Ware, James S, additional, Wiafe, Addo A, additional, Wiafe, Samuel A, additional, Wiggins, Lisa D, additional, Williams, Andrew E, additional, Wu, Chen, additional, Wyrwoll, Margot J, additional, Xiong, Hui, additional, Yalin, Nefize, additional, Yamamoto, Yasunori, additional, Yatham, Lakshmi N, additional, Yocum, Anastasia K, additional, Young, Allan H, additional, Yüksel, Zafer, additional, Zandi, Peter P, additional, Zankl, Andreas, additional, Zarante, Ignacio, additional, Zvolský, Miroslav, additional, Toro, Sabrina, additional, Carmody, Leigh C, additional, Harris, Nomi L, additional, Munoz-Torres, Monica C, additional, Danis, Daniel, additional, Mungall, Christopher J, additional, Köhler, Sebastian, additional, Haendel, Melissa A, additional, and Robinson, Peter N, additional

Published
2023
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3. Abstract 073: A Mediterranean Diet Pattern Is Associated With Lower Risk Of Adverse Pregnancy Outcomes In US Women: Results From The NuMoM2b Cohort

Author

Makarem, Nour, primary, Chau, Kristi, additional, Miller, Eliza C, additional, Gyamfi-Bannerman, Cynthia, additional, Tous, Isabella, additional, Booker, Whitney A, additional, Catov, Janet M, additional, Haas, David, additional, GROBMAN, William, additional, Levine, Lisa, additional, McNeil, Rebecca, additional, Merz, Noel N, additional, Reddy, Uma, additional, Wapner, Ron, additional, Wong, Melissa, additional, and Bello, Natalie A, additional

Published
2022
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4. Pregnancy Weight and Anthropometric Trajectories: The NICHD Fetal Growth Studies

Author

Widen, Elizabeth, primary, Burns, Natalie, additional, Grewal, Jagteshwar, additional, Nichols, Amy, additional, Rickman, Rachel, additional, Foster, Saralyn, additional, Nhan-Chang, Chia-Ling, additional, Zhang, Cuilin, additional, Wapner, Ron, additional, Wing, Deborah, additional, Owen, John, additional, Skupski, Daniel, additional, Ranzini, Angela, additional, Newman, Roger, additional, Grobman, William, additional, and Daniels, Michael, additional

Published
2021
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5. Study protocol: childhood outcomes of fetal genomic variants: the PrenatAL Microarray (PALM) cohort study.

Author

Hui, Lisa, Pynaker, Cecilia, Kennedy, Joanne, Lewis, Sharon, Amor, David J., Walker, Susan P., Halliday, Jane, On behalf of the PALM cohort study group, Norris, Fiona, Gugasyan, Lucy, Regan, Matt, Vasudevan, Anand, Fawcett, Susan, McGillivray, George, Graetz, Melissa, Said, Joanne, Begg, Lisa, Wapner, Ron, and Levy, Brynn

Subjects
HEALTH behavior, RESEARCH protocols, DNA copy number variations, GENETIC variation, COHORT analysis, POSTNATAL care
Abstract

Background: The implementation of genomic testing in pregnancy means that couples have access to more information about their child's genetic make-up before birth than ever before. One of the resulting challenges is the management of genetic variations with unclear clinical significance. This population-based study will help to close this critical knowledge gap through a multidisciplinary cohort study of children with and without genomic copy number variants (CNVs) diagnosed before birth. By comparing children with prenatally-ascertained CNVs to children without a CNV, we aim to (1) examine their developmental, social-emotional and health status; (2) measure the impact of prenatal diagnosis of a CNV on maternal perceptions of child health, behavior and development; and (3) determine the proportion of prenatally-ascertained CNVs of unknown or uncertain significance that are reclassified as benign or pathogenic after 2 or more years. Methods: This study will establish and follow up a cohort of mother-child pairs who have had a prenatal diagnosis with a chromosomal microarray from 2013-2019 in the Australian state of Victoria. Children aged 12 months to 7 years will be assessed using validated, age-appropriate measures. The primary outcome measures will be the Wechsler Preschool and Primary Scale of Intelligence IV (WPSSI-IV) IQ score (2.5 to 7 year old's), the Ages and Stages Questionnaire (12-30 months old), and the Brief Infant- Toddler Social and Emotional Assessment (BITSEA) score. Clinical assessment by a pediatrician will also be performed. Secondary outcomes will be scores obtained from the: Vineland Adaptive Behavior Scale, Maternal Postnatal Attachment Questionnaire, the Vulnerable Child Scale, Profile of Mood States, Parent Sense of Competence Scale. A descriptive analysis of the reclassification rates of CNVs after ≥2 years will be performed. Discussion: This study protocol describes the first Australian cohort study following children after prenatal diagnostic testing with chromosomal microarray. It will provide long-term outcomes of fetal genomic variants to guide evidence-based pre-and postnatal care. This, in turn, will inform future efforts to mitigate the negative consequences of conveying genomic uncertainty during pregnancy. Trial registration: ACTRN12620000446965p; Registered on April 6, 2020. [ABSTRACT FROM AUTHOR]

Published
2021
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6. The Human Phenotype Ontology in 2024: phenotypes around the world.

Author

Gargano MA, Matentzoglu N, Coleman B, Addo-Lartey EB, Anagnostopoulos AV, Anderton J, Avillach P, Bagley AM, Bakštein E, Balhoff JP, Baynam G, Bello SM, Berk M, Bertram H, Bishop S, Blau H, Bodenstein DF, Botas P, Boztug K, Čady J, Callahan TJ, Cameron R, Carbon SJ, Castellanos F, Caufield JH, Chan LE, Chute CG, Cruz-Rojo J, Dahan-Oliel N, Davids JR, de Dieuleveult M, de Souza V, de Vries BBA, de Vries E, DePaulo JR, Derfalvi B, Dhombres F, Diaz-Byrd C, Dingemans AJM, Donadille B, Duyzend M, Elfeky R, Essaid S, Fabrizzi C, Fico G, Firth HV, Freudenberg-Hua Y, Fullerton JM, Gabriel DL, Gilmour K, Giordano J, Goes FS, Moses RG, Green I, Griese M, Groza T, Gu W, Guthrie J, Gyori B, Hamosh A, Hanauer M, Hanušová K, He YO, Hegde H, Helbig I, Holasová K, Hoyt CT, Huang S, Hurwitz E, Jacobsen JOB, Jiang X, Joseph L, Keramatian K, King B, Knoflach K, Koolen DA, Kraus ML, Kroll C, Kusters M, Ladewig MS, Lagorce D, Lai MC, Lapunzina P, Laraway B, Lewis-Smith D, Li X, Lucano C, Majd M, Marazita ML, Martinez-Glez V, McHenry TH, McInnis MG, McMurry JA, Mihulová M, Millett CE, Mitchell PB, Moslerová V, Narutomi K, Nematollahi S, Nevado J, Nierenberg AA, Čajbiková NN, Nurnberger JI Jr, Ogishima S, Olson D, Ortiz A, Pachajoa H, Perez de Nanclares G, Peters A, Putman T, Rapp CK, Rath A, Reese J, Rekerle L, Roberts AM, Roy S, Sanders SJ, Schuetz C, Schulte EC, Schulze TG, Schwarz M, Scott K, Seelow D, Seitz B, Shen Y, Similuk MN, Simon ES, Singh B, Smedley D, Smith CL, Smolinsky JT, Sperry S, Stafford E, Stefancsik R, Steinhaus R, Strawbridge R, Sundaramurthi JC, Talapova P, Tenorio Castano JA, Tesner P, Thomas RH, Thurm A, Turnovec M, van Gijn ME, Vasilevsky NA, Vlčková M, Walden A, Wang K, Wapner R, Ware JS, Wiafe AA, Wiafe SA, Wiggins LD, Williams AE, Wu C, Wyrwoll MJ, Xiong H, Yalin N, Yamamoto Y, Yatham LN, Yocum AK, Young AH, Yüksel Z, Zandi PP, Zankl A, Zarante I, Zvolský M, Toro S, Carmody LC, Harris NL, Munoz-Torres MC, Danis D, Mungall CJ, Köhler S, Haendel MA, and Robinson PN

Subjects
Humans, Phenotype, Genomics, Algorithms, Rare Diseases, Biological Ontologies
Abstract

The Human Phenotype Ontology (HPO) is a widely used resource that comprehensively organizes and defines the phenotypic features of human disease, enabling computational inference and supporting genomic and phenotypic analyses through semantic similarity and machine learning algorithms. The HPO has widespread applications in clinical diagnostics and translational research, including genomic diagnostics, gene-disease discovery, and cohort analytics. In recent years, groups around the world have developed translations of the HPO from English to other languages, and the HPO browser has been internationalized, allowing users to view HPO term labels and in many cases synonyms and definitions in ten languages in addition to English. Since our last report, a total of 2239 new HPO terms and 49235 new HPO annotations were developed, many in collaboration with external groups in the fields of psychiatry, arthrogryposis, immunology and cardiology. The Medical Action Ontology (MAxO) is a new effort to model treatments and other measures taken for clinical management. Finally, the HPO consortium is contributing to efforts to integrate the HPO and the GA4GH Phenopacket Schema into electronic health records (EHRs) with the goal of more standardized and computable integration of rare disease data in EHRs., (© The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research.)

Published
2024
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