Search

Your search keyword '"Nodzenski, Michael"' showing total 226 results
Start Over Author "Nodzenski, Michael"
226 results on '"Nodzenski, Michael"'

1. Subcision with and without suction for acne scars: a split-faced, rater-blinded randomized control trial

Author

Shi, Victoria J., Ma, Melissa S., Koza, Eric, Haq, Misha, Ahmed, Areeba, Yi, Michael D., Dirr, McKenzie A., Anvery, Noor, Christensen, Rachel E., Pagdhal, Kapila, Geisler, Amelia, Nodzenski, Michael, Roongpisuthipong, Wanjarus, Brieva, Joaquin C., Cahn, Brian A., Yoo, Simon S., Lucas, Jennifer, Poon, Emily, West, Dennis P., Fife, Douglas, and Alam, Murad

Published
2024
Full Text
View/download PDF

4. Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors

Author

Warrington, Nicole M, Beaumont, Robin N, Horikoshi, Momoko, Day, Felix R, Helgeland, Øyvind, Laurin, Charles, Bacelis, Jonas, Peng, Shouneng, Hao, Ke, Feenstra, Bjarke, Wood, Andrew R, Mahajan, Anubha, Tyrrell, Jessica, Robertson, Neil R, Rayner, N William, Qiao, Zhen, Moen, Gunn-Helen, Vaudel, Marc, Marsit, Carmen J, Chen, Jia, Nodzenski, Michael, Schnurr, Theresia M, Zafarmand, Mohammad H, Bradfield, Jonathan P, Grarup, Niels, Kooijman, Marjolein N, Li-Gao, Ruifang, Geller, Frank, Ahluwalia, Tarunveer S, Paternoster, Lavinia, Rueedi, Rico, Huikari, Ville, Hottenga, Jouke-Jan, Lyytikäinen, Leo-Pekka, Cavadino, Alana, Metrustry, Sarah, Cousminer, Diana L, Wu, Ying, Thiering, Elisabeth, Wang, Carol A, Have, Christian T, Vilor-Tejedor, Natalia, Joshi, Peter K, Painter, Jodie N, Ntalla, Ioanna, Myhre, Ronny, Pitkänen, Niina, van Leeuwen, Elisabeth M, Joro, Raimo, Lagou, Vasiliki, Richmond, Rebecca C, Espinosa, Ana, Barton, Sheila J, Inskip, Hazel M, Holloway, John W, Santa-Marina, Loreto, Estivill, Xavier, Ang, Wei, Marsh, Julie A, Reichetzeder, Christoph, Marullo, Letizia, Hocher, Berthold, Lunetta, Kathryn L, Murabito, Joanne M, Relton, Caroline L, Kogevinas, Manolis, Chatzi, Leda, Allard, Catherine, Bouchard, Luigi, Hivert, Marie-France, Zhang, Ge, Muglia, Louis J, Heikkinen, Jani, Morgen, Camilla S, van Kampen, Antoine HC, van Schaik, Barbera DC, Mentch, Frank D, Langenberg, Claudia, Luan, Jian’an, Scott, Robert A, Zhao, Jing Hua, Hemani, Gibran, Ring, Susan M, Bennett, Amanda J, Gaulton, Kyle J, Fernandez-Tajes, Juan, van Zuydam, Natalie R, Medina-Gomez, Carolina, de Haan, Hugoline G, Rosendaal, Frits R, Kutalik, Zoltán, Marques-Vidal, Pedro, Das, Shikta, Willemsen, Gonneke, Mbarek, Hamdi, Müller-Nurasyid, Martina, Standl, Marie, Appel, Emil VR, Fonvig, Cilius E, and Trier, Caecilie

Subjects
Biological Sciences, Genetics, Cardiovascular, Perinatal Period - Conditions Originating in Perinatal Period, Nutrition, Prevention, Preterm, Low Birth Weight and Health of the Newborn, Pediatric, Obesity, Conditions Affecting the Embryonic and Fetal Periods, Infant Mortality, 2.1 Biological and endogenous factors, Aetiology, Reproductive health and childbirth, Good Health and Well Being, Adult, Birth Weight, Blood Pressure, Body Height, Diabetes Mellitus, Type 2, Female, Fetal Development, Genetic Predisposition to Disease, Genome-Wide Association Study, Heart Diseases, Humans, Infant, Newborn, Male, Maternal Inheritance, Maternal-Fetal Exchange, Metabolic Diseases, Models, Genetic, Polymorphism, Single Nucleotide, Pregnancy, Risk Factors, EGG Consortium, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Birth weight variation is influenced by fetal and maternal genetic and non-genetic factors, and has been reproducibly associated with future cardio-metabolic health outcomes. In expanded genome-wide association analyses of own birth weight (n = 321,223) and offspring birth weight (n = 230,069 mothers), we identified 190 independent association signals (129 of which are novel). We used structural equation modeling to decompose the contributions of direct fetal and indirect maternal genetic effects, then applied Mendelian randomization to illuminate causal pathways. For example, both indirect maternal and direct fetal genetic effects drive the observational relationship between lower birth weight and higher later blood pressure: maternal blood pressure-raising alleles reduce offspring birth weight, but only direct fetal effects of these alleles, once inherited, increase later offspring blood pressure. Using maternal birth weight-lowering genotypes to proxy for an adverse intrauterine environment provided no evidence that it causally raises offspring blood pressure, indicating that the inverse birth weight-blood pressure association is attributable to genetic effects, and not to intrauterine programming.

Published
2019

5. Genome-wide associations for birth weight and correlations with adult disease

Author

Horikoshi, Momoko, Beaumont, Robin N, Day, Felix R, Warrington, Nicole M, Kooijman, Marjolein N, Fernandez-Tajes, Juan, Feenstra, Bjarke, van Zuydam, Natalie R, Gaulton, Kyle J, Grarup, Niels, Bradfield, Jonathan P, Strachan, David P, Li-Gao, Ruifang, Ahluwalia, Tarunveer S, Kreiner, Eskil, Rueedi, Rico, Lyytikäinen, Leo-Pekka, Cousminer, Diana L, Wu, Ying, Thiering, Elisabeth, Wang, Carol A, Have, Christian T, Hottenga, Jouke-Jan, Vilor-Tejedor, Natalia, Joshi, Peter K, Boh, Eileen Tai Hui, Ntalla, Ioanna, Pitkänen, Niina, Mahajan, Anubha, van Leeuwen, Elisabeth M, Joro, Raimo, Lagou, Vasiliki, Nodzenski, Michael, Diver, Louise A, Zondervan, Krina T, Bustamante, Mariona, Marques-Vidal, Pedro, Mercader, Josep M, Bennett, Amanda J, Rahmioglu, Nilufer, Nyholt, Dale R, Ma, Ronald CW, Tam, Claudia HT, Tam, Wing Hung, Ganesh, Santhi K, van Rooij, Frank JA, Jones, Samuel E, Loh, Po-Ru, Ruth, Katherine S, Tuke, Marcus A, Tyrrell, Jessica, Wood, Andrew R, Yaghootkar, Hanieh, Scholtens, Denise M, Paternoster, Lavinia, Prokopenko, Inga, Kovacs, Peter, Atalay, Mustafa, Willems, Sara M, Panoutsopoulou, Kalliope, Wang, Xu, Carstensen, Lisbeth, Geller, Frank, Schraut, Katharina E, Murcia, Mario, van Beijsterveldt, Catharina EM, Willemsen, Gonneke, Appel, Emil VR, Fonvig, Cilius E, Trier, Caecilie, Tiesler, Carla MT, Standl, Marie, Kutalik, Zoltán, Bonàs-Guarch, Sílvia, Hougaard, David M, Sánchez, Friman, Torrents, David, Waage, Johannes, Hollegaard, Mads V, de Haan, Hugoline G, Rosendaal, Frits R, Medina-Gomez, Carolina, Ring, Susan M, Hemani, Gibran, McMahon, George, Robertson, Neil R, Groves, Christopher J, Langenberg, Claudia, Luan, Jian’an, Scott, Robert A, Zhao, Jing Hua, Mentch, Frank D, MacKenzie, Scott M, Reynolds, Rebecca M, Lowe, William L, Tönjes, Anke, Stumvoll, Michael, Lindi, Virpi, Lakka, Timo A, and van Duijn, Cornelia M

Subjects
Nutrition, Perinatal Period - Conditions Originating in Perinatal Period, Human Genome, Genetics, Clinical Research, Preterm, Low Birth Weight and Health of the Newborn, Obesity, Prevention, Pediatric, Infant Mortality, 2.1 Biological and endogenous factors, Aetiology, Adult, Aging, Anthropometry, Birth Weight, Blood Pressure, Chromatin Assembly and Disassembly, Cohort Studies, Coronary Artery Disease, Datasets as Topic, Diabetes Mellitus, Type 2, Female, Fetus, Genetic Loci, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Genomic Imprinting, Genotype, Glucose, Glycogen, Humans, Insulin, Male, Phenotype, Signal Transduction, CHARGE Consortium Hematology Working Group, Early Growth Genetics (EGG) Consortium, General Science & Technology
Abstract

Birth weight (BW) has been shown to be influenced by both fetal and maternal factors and in observational studies is reproducibly associated with future risk of adult metabolic diseases including type 2 diabetes (T2D) and cardiovascular disease. These life-course associations have often been attributed to the impact of an adverse early life environment. Here, we performed a multi-ancestry genome-wide association study (GWAS) meta-analysis of BW in 153,781 individuals, identifying 60 loci where fetal genotype was associated with BW (P

Published
2016

6. A Multistep Approach to Improving Biopsy Site Identification in Dermatology: Physician, Staff, and Patient Roles Based on a Delphi Consensus

Author

Alam, Murad, Lee, Andy, Ibrahimi, Omar A, Kim, Natalie, Bordeaux, Jeremy, Chen, Karen, Dinehart, Scott, Goldberg, David J, Hanke, C William, Hruza, George J, Nehal, Kishwer S, Olbricht, Suzanne M, Orringer, Jeffrey, Rohrer, Thomas E, Scheinfeld, Noah S, Schmults, Chrysalyne D, Strasswimmer, John M, Taylor, James S, Yoo, Simon, Nodzenski, Michael, Poon, Emily, and Cartee, Todd

Subjects
Biomedical and Clinical Sciences, Health Services and Systems, Nursing, Clinical Sciences, Health Sciences, Prevention, Cancer, Clinical Research, 7.3 Management and decision making, Management of diseases and conditions, Generic health relevance, Biopsy, Needle, Consensus, Cross-Sectional Studies, Delphi Technique, Dermatologic Surgical Procedures, Dermatology, Feasibility Studies, Female, Humans, Male, Medical Staff, Hospital, Patient Participation, Physician's Role, Practice Patterns, Physicians', Sensitivity and Specificity, Skin Neoplasms, Treatment Outcome, Cutaneous Surgery Consensus Group, Dermatology & Venereal Diseases, Clinical sciences
Abstract

ImportanceExcisional skin cancer surgery is a common procedure, with no formal consensus for mitigating the risk of wrong-site cutaneous surgery.ObjectiveTo systematically consider the usefulness and feasibility of proposed methods for correct biopsy site identification in dermatology.Evidence reviewSurvey study with a formal consensus process. Item development was via a literature review and expert interviews, followed by 2 stages of a Delphi process to develop consensus recommendations.FindingsIn total, 2323 articles were reviewed in the literature search, with data extraction from 14. Twenty-five experts underwent 30-minute structured interviews, which were transcribed and coded. The resulting survey was composed of 42 proposed interventions by multiple stakeholders (biopsying physicians, operating physicians, nurses, ancillary staff, patients, caregivers, and family members) at 3 time points (day of biopsy, delay and consultation period, and day of definitive surgery). Two rounds of a Delphi process with 59 experts (25 academic and 34 private practice) scored the survey. Strong consensus was obtained on 14 behaviors, and moderate consensus was obtained on 21 other behaviors. In addition, a 2-state simultaneous algorithm was developed to model surgeon behavior on the day of definitive surgery based on surgeon and patient perceptions.Conclusions and relevanceWhen definitive surgery is performed after the initial biopsy and by a different surgeon, procedures can be implemented at several time points to increase the likelihood of correct site identification. The specific circumstances of a case suggest which methods may be most appropriate and feasible, and some may be implemented. The risk of wrong-site cutaneous surgery can be reduced but not eliminated.

Published
2014

7. Maternal glucose levels during pregnancy and childhood adiposity in the Hyperglycemia and Adverse Pregnancy Outcome Follow-up Study

Author

Lowe, Jr, William L., Lowe, Lynn P., Kuang, Alan, Catalano, Patrick M., Nodzenski, Michael, Talbot, Octavious, Tam, Wing-Hung, Sacks, David A., McCance, David, Linder, Barbara, Lebenthal, Yael, Lawrence, Jean M., Lashley, Michele, Josefson, Jami L., Hamilton, Jill, Deerochanawong, Chaicharn, Clayton, Peter, Brickman, Wendy J., Dyer, Alan R., Scholtens, Denise M., Metzger, Boyd E., and on behalf of the HAPO Follow-up Study Cooperative Research Group

Published
2019
Full Text
View/download PDF

9. METHODS FOR DETECTING HIGHER-ORDER GENETIC INTERACTIONS IN NUCLEAR-FAMILY-BASED STUDIES

Author

Nodzenski, Michael

Abstract

Many diseases are believed to be complex in etiology, with risk influenced by multiple genetic variants, potentially jointly with environmental exposures. Genetic association studies have primarily focused on identifying disease-associated single nucleotide polymorphisms (SNPs) one-by-one, without considering possible synergistic effects on risk, in part due to methodological limitations. Sophisticated search algorithms are required to sift through the combinations of potentially interacting SNPs, but few have been developed for nuclear-family-based studies. This dissertation seeks to develop improved algorithms to mine for genetic interactions in nuclear-family-based data. In Chapter 2, we propose a genetic algorithm, called GADGETS (Genetic Algorithm for Detecting Genetic Epistasis using Triads or Siblings), to detect higher-order SNP-by-SNP interactions. We also develop permutation-based inferential procedures and a graphical approach for visualizing results. Through simulation, we demonstrate that GADGETS can often recover multiple interacting SNP-sets embedded among 10,000 candidates and that it outperforms existing methods. We further demonstrate its real-world use on publicly available data from a genetic association study of the birth defect orofacial clefting. In Chapter 3, we extend GADGETS to develop E-GADGETS, which can search for higher-order SNP-by-exposure interactions. We show through simulation that E-GADGETS can often recover multiple SNP-sets whose joint relationship to risk varies with exposure, regardless of whether the exposure is continuous or categorical, and even if we require searching 50,000 candidate SNPs. We further demonstrate E-GADGETS outperforms existing competitors. When applied to a case-parents dataset of children with cleft-palate-only birth defects from dbGaP, E-GADGETS detected evidence for risk-associated genetic interactions with prenatal maternal exposure to environmental tobacco smoke. In Chapter 4, we further extend GADGETS to flexibly search for higher-order maternal-fetal or maternally-mediated genetic interactions. In simulations based on 10,000 candidate SNPs, we show that GADGETS usually recovers SNP-sets that exhibit either type of effect, or, given two risk-related SNP-sets, can recover both. We also show through simulations that GADGETS outperforms competing methods. With real orofacial cleft data, GADGETS nominated potentially risk-related maternal-fetal interactions when applied separately in Asian and in European ancestry groups.

Published
2023
Full Text
View/download PDF

11. Genetic Evidence for Causal Relationships Between Maternal Obesity-Related Traits and Birth Weight

Author

Tyrrell, Jessica, Richmond, Rebecca C., Palmer, Tom M., Feenstra, Bjarke, Rangarajan, Janani, Metrustry, Sarah, Cavadino, Alana, Paternoster, Lavinia, Armstrong, Loren L., De Silva, N. Maneka G., Wood, Andrew R., Horikoshi, Momoko, Geller, Frank, Myhre, Ronny, Bradfield, Jonathan P., Kreiner-Møller, Eskil, Huikari, Ville, Painter, Jodie N., Hottenga, Jouke-Jan, Allard, Catherine, Berry, Diane J., Bouchard, Luigi, Das, Shikta, Evans, David M., Hakonarson, Hakon, Hayes, M. Geoffrey, Heikkinen, Jani, Hofman, Albert, Knight, Bridget, Lind, Penelope A., McCarthy, Mark I., McMahon, George, Medland, Sarah E., Melbye, Mads, Morris, Andrew P., Nodzenski, Michael, Reichetzeder, Christoph, Ring, Susan M., Sebert, Sylvain, Sengpiel, Verena, Sørensen, Thorkild I. A., Willemsen, Gonneke, de Geus, Eco J. C., Martin, Nicholas G., Spector, Tim D., Power, Christine, Järvelin, Marjo-Riitta, Bisgaard, Hans, Grant, Struan F. A., Nohr, Ellen A., Jaddoe, Vincent W., Jacobsson, Bo, Murray, Jeffrey C., Hocher, Berthold, Hattersley, Andrew T., Scholtens, Denise M., Davey Smith, George, Hivert, Marie-France, Felix, Janine F., Hyppönen, Elina, Lowe, William L., Jr, Frayling, Timothy M., Lawlor, Debbie A., and Freathy, Rachel M.

Published
2016
Full Text
View/download PDF

17. Multicenter Prospective Cohort Study of the Incidence of Adverse Events Associated With Cosmetic Dermatologic Procedures: Lasers, Energy Devices, and Injectable Neurotoxins and Fillers

Author

Alam, Murad, Kakar, Rohit, Nodzenski, Michael, Ibrahim, Omer, Disphanurat, Wareeporn, Bolotin, Diana, Borovicka, Judy H., Pace, Natalie, Alster, Tina S., Arndt, Kenneth A., Beer, Kenneth R., Berlin, Joshua M., Bernstein, Leonard J., Brightman, Lori A., Butterwick, Kimberly, Cox, Sue Ellen, Chotzen, Vera, Fabi, Sabrina G., Fitzpatrick, Richard E., Geronemus, Roy G., Goldman, Mitchel P., Groff, William F., Kaminer, Michael S., Kilmer, Suzanne, Rohrer, Thomas E., Tanzi, Elizabeth L., Silva, Susan K., Yoo, Simon S., Weinkle, Susan H., Strasswimmer, John, Poon, Emily, and Dover, Jeffrey S.

Published
2015
Full Text
View/download PDF

21. Multifunctional Skin-Like Electronics for Quantitative, Clinical Monitoring of Cutaneous Wound Healing

Author

Hattori, Yoshiaki, Falgout, Leo, Lee, Woosik, Jung, Sung-Young, Poon, Emily, Lee, Jung Woo, Na, Ilyoun, Geisler, Amelia, Sadhwani, Divya, Zhang, Yihui, Su, Yewang, Wang, Xiaoqi, Liu, Zhuangjian, Xia, Jing, Cheng, Huanyu, Webb, Chad R., Bonifas, Andrew P., Won, Philip, Jeong, Jae-Woong, Jang, Kyung-In, Song, Young Min, Nardone, Beatrice, Nodzenski, Michael, Fan, Jonathan A., Huang, Yonggang, West, Dennis P., Paller, Amy S., Alam, Murad, Yeo, Woon-Hong, and Rogers, John A.

Published
2014
Full Text
View/download PDF

25. Genome-wide association study of offspring birth weight in 86,577 women identifies five novel loci and highlights maternal genetic effects that are independent of fetal genetics

Author

Beaumont, Robin N, Warrington, Nicole M, Cavadino, Alana, Tyrrell, Jessica, Nodzenski, Michael, Horikoshi, Momoko, Geller, Frank, Myhre, Ronny, Richmond, Rebecca C, Paternoster, Lavinia, Bradfield, Jonathan P, Kreiner-Møller, Eskil, Huikari, Ville, Metrustry, Sarah, Lunetta, Kathryn L, Painter, Jodie N, Hottenga, Jouke-Jan, Allard, Catherine, Barton, Sheila J, Espinosa, Ana, Marsh, Julie A, Potter, Catherine, Zhang, Ge, Ang, Wei, Berry, Diane J, Bouchard, Luigi, Das, Shikta, Hakonarson, Hakon, Heikkinen, Jani, Helgeland, Øyvind, Hocher, Berthold, Hofman, Albert, Inskip, Hazel M, Jones, Samuel E, Kogevinas, Manolis, Lind, Penelope A, Marullo, Letizia, Medland, Sarah E, Murray, Anna, Murray, Jeffrey C, Njølstad, Pål R, Nohr, Ellen A, Reichetzeder, Christoph, Ring, Susan M, Ruth, Katherine S, Santa-Marina, Loreto, Scholtens, Denise M, Willemsen, Gonneke, Bartels, Meike, Boomsma, Dorret I, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, and APH - Methodology

Subjects
Netherlands Twin Register (NTR), Genotype, Protein-Serine-Threonine Kinases/genetics, Actins/genetics, Birth Weight/genetics, Receptor, Melatonin, MT2/genetics, Gestational Age, Polymorphism, Single Nucleotide/genetics, Transcription Factor 7-Like 2 Protein/genetics, HMGA2 Protein/genetics, Kv1.3 Potassium Channel/genetics, Trans-Activators/genetics, Cytochrome P-450 CYP3A/genetics, Genetic Variation/genetics, SDG 3 - Good Health and Well-being, Proteins/genetics, Genome-Wide Association Study/methods, Journal Article, Humans, Female, Alleles, DNA-Binding Proteins/genetics
Abstract

Genome-wide association studies of birth weight have focused on fetal genetics, whereas relatively little is known about the role of maternal genetic variation. We aimed to identify maternal genetic variants associated with birth weight that could highlight potentially relevant maternal determinants of fetal growth. We meta-analysed data on up to 8.7 million SNPs in up to 86 577 women of European descent from the Early Growth Genetics (EGG) Consortium and the UK Biobank. We used structural equation modelling (SEM) and analyses of mother-child pairs to quantify the separate maternal and fetal genetic effects. Maternal SNPs at 10 loci (MTNR1B, HMGA2, SH2B3, KCNAB1, L3MBTL3, GCK, EBF1, TCF7L2, ACTL9, CYP3A7) were associated with offspring birth weight at P

Published
2018
Full Text
View/download PDF

27. Adverse Events Associated With Mohs Micrographic Surgery: Multicenter Prospective Cohort Study of 20 821 Cases at 23 Centers

Author

Alam, Murad, Ibrahim, Omer, Nodzenski, Michael, Strasswimmer, John M., Brian Jiang, Shang I., Cohen, Joel L., Albano, Brian J., Batra, Priya, Behshad, Ramona, Benedetto, Anthony V., Chan, Stanley C., Chilukuri, Suneel, Crocker, Courtney, Crystal, Hillary W., Dhir, Anir, Faulconer, Victoria A., Goldberg, Leonard H., Goodman, Chandra, Greenbaum, Steven S., Hale, Elizabeth K., Hanke, William C., Hruza, George J., Jacobson, Laurie, Jones, Jason, Kimyai-Asadi, Arash, Kouba, David, Lahti, James, Macias, Kristi, Miller, Stanley J., Monk, Edward, Nguyen, Tri H., Oganesyan, Gagik, Pennie, Michelle, Pontius, Katherine, Posten, William, Reichel, Jennifer L., Rohrer, Thomas E., Rooney, James A., Tran, Hien T., Poon, Emily, Bolotin, Diana, Dubina, Meghan, Pace, Natalie, Kim, Natalie, Disphanurat, Wareeporn, Kathawalla, Ummul, Kakar, Rohit, West, Dennis P., Veledar, Emir, and Yoo, Simon

Published
2013
Full Text
View/download PDF

31. GADGETS: a genetic algorithm for detecting epistasis using nuclear families.

Author

Nodzenski, Michael, Shi, Min, Krahn, Juno M, Wise, Alison S, Li, Yuanyuan, Li, Leping, Umbach, David M, and Weinberg, Clarice R

Subjects
*NUCLEAR families, *GENETIC algorithms, *IMPLEMENTS, utensils, etc., *JOINT diseases
Abstract

Motivation Epistasis may play an etiologic role in complex diseases, but research has been hindered because identification of interactions among sets of single nucleotide polymorphisms (SNPs) requires exploration of immense search spaces. Current approaches using nuclear families accommodate at most several hundred candidate SNPs. Results GADGETS detects epistatic SNP-sets by applying a genetic algorithm to case-parent or case-sibling data. To allow for multiple epistatic sets, island subpopulations of SNP-sets evolve separately under selection for evident joint relevance to disease risk. The software evaluates the identified SNP-sets via permutation testing and provides graphical visualization. GADGETS correctly identified epistatic SNP-sets in realistically simulated case-parent triads with 10 000 candidate SNPs, far more SNPs than competitors can handle, and it outperformed competitors in simulations with many fewer SNPs. Applying GADGETS to family-based oral-clefting data from dbGaP identified SNP-sets with possible epistatic effects on risk. Availability and implementation GADGETS is part of the epistasisGA package at https://github.com/mnodzenski/epistasisGA. Supplementary information Supplementary data are available at Bioinformatics online. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

32. Genome-wide association study of offspring birth weight in 86 577 women identifies five novel loci and highlights maternal genetic effects that are independent of fetal genetics

Author

Beaumont, Robin N., Warrington, Nicole M., Cavadino, Alana, Tyrrell, Jessica, Nodzenski, Michael, Horikoshi, Momoko, Geller, Frank, Myhre, Ronny, Richmond, Rebecca C., Paternoster, Lavinia, Bradfield, Jonathan P., Kreiner-Møller, Eskil, Huikari, Ville, Metrustry, Sarah, Lunetta, Kathryn L., Painter, Jodie N., Hottenga, Jouke-Jan, Allard, Catherine, Barton, Sheila J., Espinosa, Ana, Marsh, Julie A., Potter, Catherine, Zhang, Ge, Ang, Wei, Berry, Diane J., Bouchard, Luigi, Das, Shikta, Hakonarson, Hakon, Heikkinen, Jani, Helgeland, Øyvind, Hocher, Berthold, Hofman, Albert, Inskip, Hazel M., Jones, Samuel E., Kogevinas, Manolis, Lind, Penelope A., Marullo, Letizia, Medland, Sarah E., Murray, Anna, Murray, Jeffrey C., Njølstad, Pa ̊l R., Nohr, Ellen A., Reichetzeder, Christoph, Ring, Susan M., Ruth, Katherine S., Santa-Marina, Loreto, Scholtens, Denise M., Sebert, Sylvain, Sengpiel, Verena, Tuke, Marcus A., Vaudel, Marc, Weedon, Michael N., Willemsen, Gonneke, Wood, Andrew R., Yaghootkar, Hanieh, Muglia, Louis J., Bartels, Meike, Relton, Caroline L., Pennell, Craig E., Chatzi, Leda, Estivill, Xavier, Holloway, John W., Boomsma, Dorret I., Montgomery, Grant W., Murabito, Joanne M., Spector, Tim D., Power, Christine, Ja ̈rvelin, Marjo-Ritta, Bisgaard, Hans, Grant, Struan F.A., Sørensen, Thorkild I.A., Jaddoe, Vincent W., Jacobsson, Bo, Melbye, Mads, McCarthy, Mark I., Hattersley, Andrew T., Hayes, M. Geoffrey, Frayling, Timothy M., Hivert, Marie-France, Felix, Janine F., Hyppo ̈nen, Elina, Lowe, William L. , Jr, Evans, David M., Lawlor, Debbie A., Feenstra, Bjarke, Freathy, Rachel M., Erasmus MC other, Epidemiology, and Pediatrics

Subjects
Biochemistry & Molecular Biology, SUSCEPTIBILITY LOCI, Genotype, BLOOD-PRESSURE, Gestational Age, VARIANTS, Polymorphism, Single Nucleotide, DISEASE, Germinal Center Kinases, GLUCOKINASE GENE, ddc:590, Early Growth Genetics (EGG) Consortium, ddc:570, Birth Weight, Cytochrome P-450 CYP3A, Humans, METAANALYSIS, Alleles, 11 Medical and Health Sciences, Institut für Biochemie und Biologie, Adaptor Proteins, Signal Transducing, Genetics & Heredity, RISK, Science & Technology, Kv1.3 Potassium Channel, Receptor, Melatonin, MT2, HMGA2 Protein, Intracellular Signaling Peptides and Proteins, Genetic Variation, Proteins, GESTATIONAL DIABETES-MELLITUS, 06 Biological Sciences, Protein-Serine-Threonine Kinases, Actins, DNA-Binding Proteins, PREGNANCY, Trans-Activators, Female, Mathematisch-Naturwissenschaftliche Fakultät, Life Sciences & Biomedicine, Transcription Factor 7-Like 2 Protein, FASTING GLUCOSE, Genome-Wide Association Study
Abstract

Genome-wide association studies of birth weight have focused on fetal genetics, whereas relatively little is known about the role of maternal genetic variation. We aimed to identify maternal genetic variants associated with birth weight that could highlight potentially relevant maternal determinants of fetal growth. We meta-analysed data on up to 8.7 million SNPs in up to 86 577 women of European descent from the Early Growth Genetics (EGG) Consortium and the UK Biobank. We used structural equation modelling (SEM) and analyses of mother–child pairs to quantify the separate maternal and fetal genetic effects. Maternal SNPs at 10 loci (MTNR1B, HMGA2, SH2B3, KCNAB1, L3MBTL3, GCK, EBF1, TCF7L2, ACTL9, CYP3A7) were associated with offspring birth weight at P < 5 Â 10 À8 . In SEM analyses, at least 7 of the 10 associations were consistent with effects of the maternal genotype acting via the intrauterine environment, rather than via effects of shared alleles with the fetus. Variants, or correlated proxies, at many of the loci had been previously associated with adult traits, including fasting glucose (MTNR1B, GCK and TCF7L2) and sex hormone levels (CYP3A7), and one (EBF1) with gestational duration. The identified associations indicate that genetic effects on maternal glucose, cytochrome P450 activity and gestational duration, and potentially on maternal blood pressure and immune function, are relevant for fetal growth. Further characterization of these associations in mechanistic and causal analyses will enhance understanding of the potentially modifiable maternal determinants of fetal growth, with the goal of reducing the morbidity and mortality associated with low and high birth weights., Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe, 628

Published
2019
Full Text
View/download PDF

33. Assessing Skin Biopsy Rates for Histologic Findings Indicative of Nonpathological Cutaneous Disease

Author

Solomon, James A., primary, Oswalt, Michael, additional, Nodzenski, Michael, additional, Glener, Julie, additional, Schaeffer, Matthew R., additional, Cartee, Todd V., additional, Maher, Ian A., additional, Sobanko, Joseph F., additional, Waldman, Abigail, additional, Yoo, Simon S., additional, Lewis, Suzanna, additional, Barr, Morgan, additional, Marous, Molly, additional, Sledge, Brigitte, additional, Duke, Jodi Kay, additional, Armstrong, April W., additional, Poon, Emily, additional, Veledar, Emir, additional, Dellavalle, Robert P., additional, and Alam, Murad, additional

Published
2019
Full Text
View/download PDF

34. Genome-wide association study of offspring birth weight in 86 577 women identifies five novel loci and highlights maternal genetic effects that are independent of fetal genetics

Author

Beaumont, Robin N., Warrington, Nicole M., Cavadino, Alana, Tyrrell, Jessica, Nodzenski, Michael, Horikoshi, Momoko, Geller, Frank, Myhre, Ronny, Richmond, Rebecca C., Paternoster, Lavinia, Bradfield, Jonathan P., Kreiner-Moller, Eskil, Huikari, Ville, Metrustry, Sarah, Lunetta, Kathryn L., Painter, Jodie N., Hottenga, Jouke-Jan, Allard, Catherine, Barton, Sheila J., Espinosa, Ana, Marsh, Julie A., Potter, Catherine, Zhang, Ge, Ang, Wei, Berry, Diane J., Bouchard, Luigi, Das, Shikta, Hakonarson, Hakon, Heikkinen, Jani, Helgeland, Oyvind, Hocher, Berthold, Hofman, Albert, Inskip, Hazel M., Jones, Samuel E., Kogevinas, Manolis, Lind, Penelope A., Marullo, Letizia, Medland, Sarah E., Murray, Anna, Murray, Jeffrey C., Njolstad, Pal R., Nohr, Ellen A., Reichetzeder, Christoph, Ring, Susan M., Ruth, Katherine S., Santa-Marina, Loreto, Scholtens, Denise M., Sebert, Sylvain, Sengpiel, Verena, Tuke, Marcus A., Vaudel, Marc, Weedon, Michael N., Willemsen, Gonneke, Wood, Andrew R., Yaghootkar, Hanieh, Muglia, Louis J., Bartels, Meike, Relton, Caroline L., Pennell, Craig E., Chatzi, Leda, Estivill, Xavier, Holloway, John W., Boomsma, Dorret I., Montgomery, Grant W., Murabito, Joanne M., Spector, Tim D., Power, Christine, Jarvelin, Marjo-Ritta, Bisgaard, Hans, Grant, Struan F. A., Sørensen, Thorkild I. A., Jaddoe, Vincent W., Jacobsson, Bo, Melbye, Mads, McCarthy, Mark I., Hattersley, Andrew T., Hayes, M. Geoffrey, Frayling, Timothy M., Hivert, Marie-France, Felix, Janine F., Hypponen, Elina, Lowe, William L., Jr., Evans, David M., Lawlor, Debbie A., Feenstra, Bjarke, Freathy, Rachel M., Beaumont, Robin N., Warrington, Nicole M., Cavadino, Alana, Tyrrell, Jessica, Nodzenski, Michael, Horikoshi, Momoko, Geller, Frank, Myhre, Ronny, Richmond, Rebecca C., Paternoster, Lavinia, Bradfield, Jonathan P., Kreiner-Moller, Eskil, Huikari, Ville, Metrustry, Sarah, Lunetta, Kathryn L., Painter, Jodie N., Hottenga, Jouke-Jan, Allard, Catherine, Barton, Sheila J., Espinosa, Ana, Marsh, Julie A., Potter, Catherine, Zhang, Ge, Ang, Wei, Berry, Diane J., Bouchard, Luigi, Das, Shikta, Hakonarson, Hakon, Heikkinen, Jani, Helgeland, Oyvind, Hocher, Berthold, Hofman, Albert, Inskip, Hazel M., Jones, Samuel E., Kogevinas, Manolis, Lind, Penelope A., Marullo, Letizia, Medland, Sarah E., Murray, Anna, Murray, Jeffrey C., Njolstad, Pal R., Nohr, Ellen A., Reichetzeder, Christoph, Ring, Susan M., Ruth, Katherine S., Santa-Marina, Loreto, Scholtens, Denise M., Sebert, Sylvain, Sengpiel, Verena, Tuke, Marcus A., Vaudel, Marc, Weedon, Michael N., Willemsen, Gonneke, Wood, Andrew R., Yaghootkar, Hanieh, Muglia, Louis J., Bartels, Meike, Relton, Caroline L., Pennell, Craig E., Chatzi, Leda, Estivill, Xavier, Holloway, John W., Boomsma, Dorret I., Montgomery, Grant W., Murabito, Joanne M., Spector, Tim D., Power, Christine, Jarvelin, Marjo-Ritta, Bisgaard, Hans, Grant, Struan F. A., Sørensen, Thorkild I. A., Jaddoe, Vincent W., Jacobsson, Bo, Melbye, Mads, McCarthy, Mark I., Hattersley, Andrew T., Hayes, M. Geoffrey, Frayling, Timothy M., Hivert, Marie-France, Felix, Janine F., Hypponen, Elina, Lowe, William L., Jr., Evans, David M., Lawlor, Debbie A., Feenstra, Bjarke, and Freathy, Rachel M.

Abstract

Genome-wide association studies of birth weight have focused on fetal genetics, whereas relatively little is known about the role of maternal genetic variation. We aimed to identify maternal genetic variants associated with birth weight that could highlight potentially relevant maternal determinants of fetal growth. We meta-analysed data on up to 8.7 million SNPs in up to 86 577 women of European descent from the Early Growth Genetics (EGG) Consortium and the UK Biobank. We used structural equation modelling (SEM) and analyses of mother-child pairs to quantify the separate maternal and fetal genetic effects. Maternal SNPs at 10 loci (MTNR1B, HMGA2, SH2B3, KCNAB1, L3MBTL3, GCK, EBF1, TCF7L2, ACTL9, CYP3A7) were associated with offspring birth weight at P<5×10 -8. In SEM analyses, at least 7 of the 10 associations were consistent with effects of the maternal genotype acting via the intrauterine environment, rather than via effects of shared alleles with the fetus. Variants, or correlated proxies, at many of the loci had been previously associated with adult traits, including fasting glucose (MTNR1B, GCK and TCF7L2) and sex hormone levels (CYP3A7), and one (EBF1) with gestational duration. The identified associations indicate that genetic effects on maternal glucose, cytochrome P450 activity and gestational duration, and potentially on maternal blood pressure and immune function, are relevant for fetal growth. Further characterization of these associations in mechanistic and causal analyses will enhance understanding of the potentially modifiable maternal determinants of fetal growth, with the goal of reducing the morbidity and mortality associated with low and high birth weights.

Published
2018

36. Genetic Determinants of Glycemic Traits and the Risk of Gestational Diabetes Mellitus

Author

Powe, Camille E., primary, Nodzenski, Michael, additional, Talbot, Octavious, additional, Allard, Catherine, additional, Briggs, Catherine, additional, Leya, Marysa V., additional, Perron, Patrice, additional, Bouchard, Luigi, additional, Florez, Jose C., additional, Scholtens, Denise M., additional, Lowe, William L., additional, and Hivert, Marie-France, additional

Published
2018
Full Text
View/download PDF

39. Maternal BMI and Glycemia Impact the Fetal Metabolome

Author

Lowe, William L., primary, Bain, James R., additional, Nodzenski, Michael, additional, Reisetter, Anna C., additional, Muehlbauer, Michael J., additional, Stevens, Robert D., additional, Ilkayeva, Olga R., additional, Lowe, Lynn P., additional, Metzger, Boyd E., additional, Newgard, Christopher B., additional, and Scholtens, Denise M., additional

Published
2017
Full Text
View/download PDF

40. Targeted Metabolomics Demonstrates Distinct and Overlapping Maternal Metabolites Associated With BMI, Glucose, and Insulin Sensitivity During Pregnancy Across Four Ancestry Groups

Author

Jacob, Saya, primary, Nodzenski, Michael, additional, Reisetter, Anna C., additional, Bain, James R., additional, Muehlbauer, Michael J., additional, Stevens, Robert D., additional, Ilkayeva, Olga R., additional, Lowe, Lynn P., additional, Metzger, Boyd E., additional, Newgard, Christopher B., additional, Scholtens, Denise M., additional, and Lowe, William L., additional

Published
2017
Full Text
View/download PDF

42. Genetic determinants of adiponectin regulation revealed by pregnancy

Author

Hivert, Marie‐France, primary, Scholtens, Denise M., additional, Allard, Catherine, additional, Nodzenski, Michael, additional, Bouchard, Luigi, additional, Brisson, Diane, additional, Lowe, Lynn P., additional, McDowell, Ian, additional, Reddy, Tim, additional, Dastani, Zari, additional, Richards, J. Brent, additional, Hayes, M. Geoffrey, additional, and Lowe, William L., additional

Published
2017
Full Text
View/download PDF

44. Hyperglycemia and Adverse Pregnancy Outcome Follow-up Study (HAPO FUS): Maternal Gestational Diabetes Mellitus and Childhood Glucose Metabolism.

Author

Lowe Jr., William L., Scholtens, Denise M., Kuang, Alan, Linder, Barbara, Lawrence, Jean M., Lebenthal, Yael, McCance, David, Hamilton, Jill, Nodzenski, Michael, Talbot, Octavious, Brickman, Wendy J., Clayton, Peter, Ma, Ronald C., Wing Hung Tam, Dyer, Alan R., Catalano, Patrick M., Lowe, Lynn P., Metzger, Boyd E., Lowe, William L Jr, and Tam, Wing Hung

Subjects
DIABETES in children, GLUCOSE metabolism, TYPE 2 diabetes, HYPERGLYCEMIA, GESTATIONAL diabetes
Abstract

Objective: Whether hyperglycemia in utero less than overt diabetes is associated with altered childhood glucose metabolism is unknown. We examined associations of gestational diabetes mellitus (GDM) not confounded by treatment with childhood glycemia in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) cohort.Research Design and Methods: HAPO Follow-up Study (FUS) included 4,160 children ages 10-14 years who completed all or part of an oral glucose tolerance test (OGTT) and whose mothers had a 75-g OGTT at ∼28 weeks of gestation with blinded glucose values. The primary predictor was GDM by World Health Organization criteria. Child outcomes were impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and type 2 diabetes. Additional measures included insulin sensitivity and secretion and oral disposition index.Results: For mothers with GDM, 10.6% of children had IGT compared with 5.0% of children of mothers without GDM; IFG frequencies were 9.2% and 7.4%, respectively. Type 2 diabetes cases were too few for analysis. Odds ratios (95% CI) adjusted for family history of diabetes, maternal BMI, and child BMI z score were 1.09 (0.78-1.52) for IFG and 1.96 (1.41-2.73) for IGT. GDM was positively associated with child's 30-min, 1-h, and 2-h but not fasting glucose and inversely associated with insulin sensitivity and oral disposition index (adjusted mean difference -76.3 [95% CI -130.3 to -22.4] and -0.12 [-0.17 to -0.064]), respectively, but not insulinogenic index.Conclusions: Offspring exposed to untreated GDM in utero are insulin resistant with limited β-cell compensation compared with offspring of mothers without GDM. GDM is significantly and independently associated with childhood IGT. [ABSTRACT FROM AUTHOR]

Published
2019
Full Text
View/download PDF

45. Fat mass estimation in neonates: anthropometric models compared with air displacement plethysmography.

Author

Josefson, Jami L., Nodzenski, Michael, Talbot, Octavious, Scholtens, Denise M., and Catalano, Patrick

Subjects
ADIPOSE tissues, ANTHROPOMETRY, BIRTH weight, CEPHALOMETRY, STATISTICAL correlation, NEWBORN screening, PLETHYSMOGRAPHY, RESEARCH evaluation, SKINFOLD thickness, MEASUREMENT errors
Abstract

Newborn adiposity, a nutritional measure of the maternal–fetal intra-uterine environment, is representative of future metabolic health. An anthropometric model using weight, length and flank skinfold to estimate neonatal fat mass has been used in numerous epidemiological studies. Air displacement plethysmography (ADP), a non-invasive technology to measure body composition, is impractical for large epidemiological studies. The study objective was to determine the consistency of the original anthropometric fat mass estimation equation with ADP. Full-term neonates were studied at 12–72 h of life with weight, length, head circumference, flank skinfold thickness and ADP measurements. Statistical analyses evaluated three models to predict neonatal fat mass. Lin's concordance correlation coefficient, mean prediction error and root mean squared error between the predicted and observed ADP fat mass values were used to evaluate the models, where ADP was considered the gold standard. A multi-ethnic cohort of 468 neonates were studied. Models (M) for predicting fat mass were developed using 349 neonates from site 1, then independently evaluated in 119 neonates from site 2. M0 was the original anthropometric model, M1 used the same variables as M0 but with updated parameters and M2 additionally included head circumference. In the independent validation cohort, Lin's concordance correlation estimates demonstrated reasonable accuracy (model 0: 0·843, 1: 0·732, 2: 0·747). Mean prediction error and root mean squared error in the independent validation was much smaller for M0 compared with M1 and M2. The original anthropometric model to estimate neonatal fat mass is reasonable for predicting ADP, thus we advocate its continued use in epidemiological studies. [ABSTRACT FROM AUTHOR]

Published
2019
Full Text
View/download PDF

47. Genetic Evidence for Causal Relationships Between Maternal Obesity-Related Traits and Birth Weight

Author

Tyrrell, Jessica, primary, Richmond, Rebecca C., additional, Palmer, Tom M., additional, Feenstra, Bjarke, additional, Rangarajan, Janani, additional, Metrustry, Sarah, additional, Cavadino, Alana, additional, Paternoster, Lavinia, additional, Armstrong, Loren L., additional, De Silva, N. Maneka G., additional, Wood, Andrew R., additional, Horikoshi, Momoko, additional, Geller, Frank, additional, Myhre, Ronny, additional, Bradfield, Jonathan P., additional, Kreiner-Møller, Eskil, additional, Huikari, Ville, additional, Painter, Jodie N., additional, Hottenga, Jouke-Jan, additional, Allard, Catherine, additional, Berry, Diane J., additional, Bouchard, Luigi, additional, Das, Shikta, additional, Evans, David M., additional, Hakonarson, Hakon, additional, Hayes, M. Geoffrey, additional, Heikkinen, Jani, additional, Hofman, Albert, additional, Knight, Bridget, additional, Lind, Penelope A., additional, McCarthy, Mark I., additional, McMahon, George, additional, Medland, Sarah E., additional, Melbye, Mads, additional, Morris, Andrew P., additional, Nodzenski, Michael, additional, Reichetzeder, Christoph, additional, Ring, Susan M., additional, Sebert, Sylvain, additional, Sengpiel, Verena, additional, Sørensen, Thorkild I. A., additional, Willemsen, Gonneke, additional, de Geus, Eco J. C., additional, Martin, Nicholas G., additional, Spector, Tim D., additional, Power, Christine, additional, Järvelin, Marjo-Riitta, additional, Bisgaard, Hans, additional, Grant, Struan F. A., additional, Nohr, Ellen A., additional, Jaddoe, Vincent W., additional, Jacobsson, Bo, additional, Murray, Jeffrey C., additional, Hocher, Berthold, additional, Hattersley, Andrew T., additional, Scholtens, Denise M., additional, Davey Smith, George, additional, Hivert, Marie-France, additional, Felix, Janine F., additional, Hyppönen, Elina, additional, Lowe, William L., additional, Frayling, Timothy M., additional, Lawlor, Debbie A., additional, and Freathy, Rachel M., additional

Published
2016
Full Text
View/download PDF

48. Metabolic Networks and Metabolites Underlie Associations Between Maternal Glucose During Pregnancy and Newborn Size at Birth

Author

Scholtens, Denise M., primary, Bain, James R., additional, Reisetter, Anna C., additional, Muehlbauer, Michael J., additional, Nodzenski, Michael, additional, Stevens, Robert D., additional, Ilkayeva, Olga, additional, Lowe, Lynn P., additional, Metzger, Boyd E., additional, Newgard, Christopher B., additional, and Lowe, William L., additional

Published
2016
Full Text
View/download PDF

50. Association of Gestational Diabetes With Maternal Disorders of Glucose Metabolism and Childhood Adiposity.

Author

Lowe, William L., Scholtens, Denise M., Lowe, Lynn P., Kuang, Alan, Nodzenski, Michael, Talbot, Octavious, Catalano, Patrick M., Linder, Barbara, Brickman, Wendy J., Clayton, Peter, Deerochanawong, Chaicharn, Hamilton, Jill, Josefson, Jami L., Lashley, Michele, Lawrence, Jean M., Lebenthal, Yael, Ma, Ronald, Maresh, Michael, McCance, David, and Tam, Wing Hung

Subjects
GESTATIONAL diabetes, GLUCOSE metabolism disorders, CHILDHOOD obesity, PREDIABETIC state, TYPE 2 diabetes, BLOOD sugar analysis, ADIPOSE tissues, COMPARATIVE studies, LONGITUDINAL method, RESEARCH methodology, MEDICAL cooperation, RESEARCH, RESEARCH funding, EVALUATION research, BODY mass index, WAIST circumference
Abstract

Importance: The sequelae of gestational diabetes (GD) by contemporary criteria that diagnose approximately twice as many women as previously used criteria are unclear.Objective: To examine associations of GD with maternal glucose metabolism and childhood adiposity 10 to 14 years' postpartum.Design, Setting, and Participants: The Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study established associations of glucose levels during pregnancy with perinatal outcomes and the follow-up study evaluated the long-term outcomes (4697 mothers and 4832 children; study visits occurred between February 13, 2013, and December 13, 2016).Exposures: Gestational diabetes was defined post hoc using criteria from the International Association of Diabetes and Pregnancy Study Groups consisting of 1 or more of the following 75-g oral glucose tolerance test results (fasting plasma glucose ≥92 mg/dL; 1-hour plasma glucose level ≥180 mg/dL; 2-hour plasma glucose level ≥153 mg/dL).Main Outcomes and Measures: Primary maternal outcome: a disorder of glucose metabolism (composite of type 2 diabetes or prediabetes). Primary outcome for children: being overweight or obese; secondary outcomes: obesity, body fat percentage, waist circumference, and sum of skinfolds (>85th percentile for latter 3 outcomes).Results: The analytic cohort included 4697 mothers (mean [SD] age, 41.7 [5.7] years) and 4832 children (mean [SD] age, 11.4 [1.2] years; 51.0% male). The median duration of follow-up was 11.4 years. The criteria for GD were met by 14.3% (672/4697) of mothers overall and by 14.1% (683/4832) of mothers of participating children. Among mothers with GD, 52.2% (346/663) developed a disorder of glucose metabolism vs 20.1% (791/3946) of mothers without GD (odds ratio [OR], 3.44 [95% CI, 2.85 to 4.14]; risk difference [RD], 25.7% [95% CI, 21.7% to 29.7%]). Among children of mothers with GD, 39.5% (269/681) were overweight or obese and 19.1% (130/681) were obese vs 28.6% (1172/4094) and 9.9% (405/4094), respectively, for children of mothers without GD. Adjusted for maternal body mass index during pregnancy, the OR was 1.21 (95% CI, 1.00 to 1.46) for children who were overweight or obese and the RD was 3.7% (95% CI, -0.16% to 7.5%); the OR was 1.58 (95% CI, 1.24 to 2.01) for children who were obese and the RD was 5.0% (95% CI, 2.0% to 8.0%); the OR was 1.35 (95% CI, 1.08 to 1.68) for body fat percentage and the RD was 4.2% (95% CI, 0.9% to 7.4%); the OR was 1.34 (95% CI, 1.08 to 1.67) for waist circumference and the RD was 4.1% (95% CI, 0.8% to 7.3%); and the OR was 1.57 (95% CI, 1.27 to 1.95) for sum of skinfolds and the RD was 6.5% (95% CI, 3.1% to 9.9%).Conclusions and Relevance: Among women with GD identified by contemporary criteria compared with those without it, GD was significantly associated with a higher maternal risk for a disorder of glucose metabolism during long-term follow-up after pregnancy. Among children of mothers with GD vs those without it, the difference in childhood overweight or obesity defined by body mass index cutoffs was not statistically significant; however, additional measures of childhood adiposity may be relevant in interpreting the study findings. [ABSTRACT FROM AUTHOR]

Published
2018
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results