73 results on '"Faas BH"'
Search Results
2. Involvement of Gly96 in the formation of the Rh26 epitope
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Faas, BH, primary, Ligthart, PC, additional, Lomas-Francis, C, additional, Overbeeke, MA, additional, Borne, AE, additional, and Schoot, CE, additional
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- 1997
- Full Text
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3. Lower antigen site density and weak D immunogenicity cannot be explained by structural genomic abnormalities or regulatory defects of the RHD gene
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Beckers, EA, primary, Faas, BH, additional, Ligthart, P, additional, Overbeeke, MA, additional, Borne, AE, additional, Schoot, CE, additional, and Rhenen, DJ, additional
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- 1997
- Full Text
- View/download PDF
4. Molecular background of VS and weak C expression in blacks
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Faas, BH, primary, Beckers, EA, additional, Wildoer, P, additional, Ligthart, PC, additional, Overbeeke, MA, additional, Zondervan, HA, additional, Borne, AE, additional, and Schoot, CE, additional
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- 1997
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- View/download PDF
5. Characterization of the hybrid RHD gene leading to the partial D category IIIc phenotype
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Beckers, EA, primary, Faas, BH, additional, Ligthart, P, additional, Simsek, S, additional, Overbeeke, MA, additional, Borne, AE, additional, Rhenen, DJ, additional, and Schoot, CE, additional
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- 1996
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- View/download PDF
6. Involvement of Ser103 of the Rh polypeptides in G epitope formation
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Faas, BH, primary, Beckers, EA, additional, Simsek, S, additional, Overbeeke, MA, additional, Pepper, R, additional, Rhenen, DJ, additional, Borne, AE, additional, and Schoot, CE, additional
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- 1996
- Full Text
- View/download PDF
7. Rapid Rh D genotyping by polymerase chain reaction-based amplification of DNA
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Simsek, S, primary, Faas, BH, additional, Bleeker, PM, additional, Overbeeke, MA, additional, Cuijpers, HT, additional, van der Schoot, CE, additional, and von dem Borne, AE, additional
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- 1995
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- View/download PDF
8. Rh E/e genotyping by allele-specific primer amplification
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Faas, BH, primary, Simsek, S, additional, Bleeker, PM, additional, Overbeeke, MA, additional, Cuijpers, HT, additional, von dem Borne, AE, additional, and van der Schoot, CE, additional
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- 1995
- Full Text
- View/download PDF
9. Defining the Effect of the 16p11.2 Duplication on Cognition, Behavior, and Medical Comorbidities
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D'Angelo, D., Lebon, S., Chen, Q., Martin-Brevet, S., Snyder, L. G., Hippolyte, L., Hanson, E., Maillard, A. M., Faucett, W. A., Mace, A., Pain, A., Bernier, R., Chawner, S. J. R. A., David, A., Andrieux, J., Aylward, E., Baujat, G., Caldeira, I., Conus, P., Ferrari, C., Forzano, F., Gerard, M., Goin-Kochel, R. P., Grant, E., Hunter, J. V., Isidor, B., Jacquette, A., Jonch, A. E., Keren, B., Lacombe, D., Le Caignec, C., Martin, C. L., Mannik, K., Metspalu, A., Mignot, C., Mukherjee, P., Owen, M. J., Passeggeri, M., Rooryck-Thambo, C., Rosenfeld, J. A., Spence, S. J., Steinman, K. J., Tjernagel, J., Van Haelst, M., Shen, Y., Draganski, B., Sherr, E. H., Ledbetter, D. H., van den Bree, M. B. M., Beckmann, J. S., Spiro, J. E., Reymond, A., Jacquemont, S., Chung, W. K., Knoers, N. V. A. M., Martinet, D., Belfiore, M., Cuvellier, J. -C., Devries, B., Delrue, M. -A., Doco-Fenzy, M., Lebel, R., Leheup, B., Lewis, S., Mencarelli, M. A., Minet, J. -C., Vincent-Delorme, C., Moerman, A., Mucciolo, M., Ounap, K., Rajcan-Separovic, E., Renieri, A., Sanlaville, D., Faas, B. H., Koolen, D. A., Vulto-Van Silfhout, A., de Leeuw, N., Rosanfeld, J. A., Filges, I., Achatz, E., Roetzer, K. M., Bonneau, D., Guichet, A., Lazaro, L., Plessis, G., Kroisel, P. M., Reis, A., Jonveaux, P., Chantot-Bastaraud, S., Rauch, A., Demeer, B., Nordgren, A., Labalme, A., Ferrarini, A., Ramelli, G. P., Guilmatre, A., Joly-Helas, G., Haize, S., Layet, V., Le Gallic, S., de Freminville, B., Touraine, R., Van Binsbergen, E., Mathieu-Dramard, M., Barth, M., Blaumeiser, B., Masurel, A., Cailler, P., Olivier-Faivre, L., Malacarne, M., Coutton, C., Dieterich, K., Satre, V., Wallgren-Pettersson, C., Tensgrom, C., Kaksonen, S., Duban-Bedu, B., Holder, M., Rossi, M., Gaillard, D., Bock, D., Bednarek, N., Guillin, O., Bizzarri, V., Flori, E., Silengo, M., Kooy, R. F., Aboura, A., Beri, M., Delobel, B., Drunat, S., Jaros, Z., Kolk, A., Reigo, A., Zufferey, F., Beckmann, N., Faravelli, F., Alupay, H., Aaronson, B., Ackerman, S., Ankenman, K., Anwar, A., Atwell, C., Bowe, A., Beaudet, A. L., Benedetti, M., Berg, J., Berman, J., Berry, L. N., Bibb, A. L., Blaskey, L., Brennan, J., Brewton, C. M., Buckner, R., Bukshpun, P., Burko, J., Cali, P., Cerban, B., Chang, Y., Cheong, M., Chow, V., Chu, Z., Chudnovskaya, D., Cornew, L., Dale, C., Dell, J., Dempsey, A. G., Deschamps, T., Earl, R., Edgar, J., Elgin, J., Endre, J., Evans, Y. L., Findlay, A., Fischbach, G. D., Fisk, C., Fregeau, B., Gaetz, B., Gaetz, L., Garza, S., Gerdts, J., Glenn, O., Gobuty, S. E., Golembski, R., Greenup, M., Heiken, K., Hines, K., Hinkley, L., Jackson, F. I., Jenkins, J., Jeremy, R. J., Johnson, K., Kanne, S. M., Kessler, S., Khan, S. Y., Ku, M., Kuschner, E., Laakman, A. L., Lam, P., Lasala, M. W., Lee, H., La, K., Levy, S., Lian, A., Llorens, A. V., Loftus, K., Luks, T. L., Marco, E. J., Martin, S., Martin, A. J., Marzano, G., Masson, C., Mcgovern, K. E., Keehn, R. M., Miller, D. T., Miller, F. K., Moss, T. J., Murray, R., Nagarajan, S. S., Nowell, K. P., Owen, J., Paal, A. M., Packer, A., Page, P. Z., Paul, B. M., Peters, A., Peterson, D., Poduri, A., Pojman, N. J., Porche, K., Proud, M. B., Qasmieh, S., Ramocki, M. B., Reilly, B., Roberts, T. P. L., Shaw, D., Sinha, T., Smith, B., Snow, A., Swarnakar, V., Thieu, T., Triantafallou, C., Vaughan, R., Wakahiro, M., Wallace, A., Ward, T., Wenegrat, J., Wolken, A., Blaumeiser, Bettina, Kooy, Frank, Other departments, Cardiff University Experiences of Children With Copy Number Variants (ECHO) Study, 16p11.2 European Consortium, Simons Variation in Individuals Project (VIP) Consortium, Knoers, VA., Martinet, D., Belfiore, M., Cuvellier, JC., de Vries, B., Delrue, MA., Doco-Fenzy, M., Lebel, R., Leheup, B., Lewis, S., Mencarelli, MA., Minet, JC., Vincent-Delorme, C., Moerman, A., Mucciolo, M., Ounap, K., Rajcan-Separovic, E., Renieri, A., Sanlaville, D., Faas, BH., Koolen, DA., Vulto-van Silfhout, A., de Leeuw, N., Rosenfeld, JA., Filges, I., Achatz, E., Roetzer, KM., Bonneau, D., Guichet, A., Lazaro, L., Plessis, G., Kroisel, PM., Reis, A., Jonveaux, P., Chantot-Bastaraud, S., Rauch, A., Demeer, B., Nordgren, A., Labalme, A., Ferrarini, A., Ramelli, GP., Guilmatre, A., Joly-Helas, G., Haize, S., Layet, V., Le Gallic, S., de Fréminville, B., Touraine, R., Van Binsbergen, E., Mathieu-Dramard, M., Barth, M., Blaumeiser, B., Masurel, A., Cailler, P., Olivier-Faivre, L., Malacarne, M., Coutton, C., Dieterich, K., Satre, V., Wallgren-Pettersson, C., Tensgrom, C., Kaksonen, S., Duban-Bedu, B., Holder, M., Rossi, M., Gaillard, D., Bock, D., Bednarek, N., Guillin, O., Bizzarri, V., Flori, E., Silengo, M., Kooy, RF., Aboura, A., Beri, M., Delobel, B., Drunat, S., Jaros, Z., Kolk, A., Reigo, A., Zufferey, F., Beckmann, N., Faravelli, F., Alupay, H., Aaronson, B., Ackerman, S., Ankenman, K., Anwar, A., Atwell, C., Bowe, A., Beaudet, AL., Benedetti, M., Berg, J., Berman, J., Berry, LN., Bibb, AL., Blaskey, L., Brennan, J., Brewton, CM., Buckner, R., Bukshpun, P., Burko, J., Cali, P., Cerban, B., Chang, Y., Cheong, M., Chow, V., Chu, Z., Chudnovskaya, D., Cornew, L., Dale, C., Dell, J., Dempsey, AG., Deschamps, T., Earl, R., Edgar, J., Elgin, J., Olson, JE., Evans, YL., Findlay, A., Fischbach, GD., Fisk, C., Fregeau, B., Gaetz, B., Gaetz, L., Garza, S., Gerdts, J., Glenn, O., Gobuty, SE., Golembski, R., Greenup, M., Heiken, K., Hines, K., Hinkley, L., Jackson, FI., Jenkins J.<Suffix>3rd</Suffix>, Jeremy, RJ., Johnson, K., Kanne, SM., Kessler, S., Khan, SY., Ku, M., Kuschner, E., Laakman, AL., Lam, P., Lasala, MW., Lee, H., LaGuerre, K., Levy, S., Lian Cavanagh, A., Llorens, AV., Loftus Campe, K., Luks, TL., Marco, EJ., Martin, S., Martin, AJ., Marzano, G., Masson, C., McGovern, KE., McNally Keehn, R., Miller, DT., Miller, FK., Moss, TJ., Murray, R., Nagarajan, SS., Nowell, KP., Owen, J., Paal, AM., Packer, A., Page, PZ., Paul, BM., Peters, A., Peterson, D., Poduri, A., Pojman, NJ., Porche, K., Proud, MB., Qasmieh, S., Ramocki, MB., Reilly, B., Roberts, TP., Shaw, D., Sinha, T., Smith-Packard, B., Snow Gallagher, A., Swarnakar, V., Thieu, T., Triantafallou, C., Vaughan, R., Wakahiro, M., Wallace, A., Ward, T., Wenegrat, J., Wolken, A., Human genetics, Amsterdam Neuroscience - Complex Trait Genetics, and Amsterdam Reproduction & Development (AR&D)
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Male ,0301 basic medicine ,Proband ,Pediatrics ,Autism Spectrum Disorder ,Developmental Disabilities ,Chromosome Disorders ,Comorbidity ,Nonverbal learning disorder ,Cohort Studies ,Cognition ,0302 clinical medicine ,Cerebellum ,Chromosome Duplication ,Gene duplication ,Copy-number variation ,Non-U.S. Gov't ,Child ,2. Zero hunger ,Intelligence quotient ,Research Support, Non-U.S. Gov't ,Middle Aged ,Psychiatry and Mental health ,Microcephaly ,Female ,Schizophrenic Psychology ,Chromosome Deletion ,Psychology ,Rare cancers Radboud Institute for Health Sciences [Radboudumc 9] ,Human ,Adult ,medicine.medical_specialty ,Adolescent ,DNA Copy Number Variations ,Research Support ,Nervous System Malformations ,Article ,Chromosomes ,Young Adult ,03 medical and health sciences ,Intellectual Disability ,Journal Article ,medicine ,Humans ,Autistic Disorder ,Preschool ,Psychiatry ,Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7] ,Epilepsy ,Pair 16 ,Other Research Radboud Institute for Health Sciences [Radboudumc 0] ,Case-control study ,Autism Spectrum Disorder/epidemiology ,Autism Spectrum Disorder/genetics ,Autistic Disorder/epidemiology ,Autistic Disorder/genetics ,Case-Control Studies ,Cerebellum/abnormalities ,Child, Preschool ,Chromosome Disorders/epidemiology ,Chromosome Disorders/genetics ,Chromosomes, Human, Pair 16/genetics ,Developmental Disabilities/epidemiology ,Developmental Disabilities/genetics ,Epilepsy/epidemiology ,Epilepsy/genetics ,Intellectual Disability/epidemiology ,Intellectual Disability/genetics ,Microcephaly/epidemiology ,Microcephaly/genetics ,Nervous System Malformations/epidemiology ,Nervous System Malformations/genetics ,Schizophrenia/epidemiology ,Schizophrenia/genetics ,medicine.disease ,030104 developmental biology ,Chromosomes, Human, Pair 16 ,Schizophrenia ,Autism ,Human medicine ,030217 neurology & neurosurgery - Abstract
Contains fulltext : 167711.pdf (Publisher’s version ) (Closed access) IMPORTANCE: The 16p11.2 BP4-BP5 duplication is the copy number variant most frequently associated with autism spectrum disorder (ASD), schizophrenia, and comorbidities such as decreased body mass index (BMI). OBJECTIVES: To characterize the effects of the 16p11.2 duplication on cognitive, behavioral, medical, and anthropometric traits and to understand the specificity of these effects by systematically comparing results in duplication carriers and reciprocal deletion carriers, who are also at risk for ASD. DESIGN, SETTING, AND PARTICIPANTS: This international cohort study of 1006 study participants compared 270 duplication carriers with their 102 intrafamilial control individuals, 390 reciprocal deletion carriers, and 244 deletion controls from European and North American cohorts. Data were collected from August 1, 2010, to May 31, 2015 and analyzed from January 1 to August 14, 2015. Linear mixed models were used to estimate the effect of the duplication and deletion on clinical traits by comparison with noncarrier relatives. MAIN OUTCOMES AND MEASURES: Findings on the Full-Scale IQ (FSIQ), Nonverbal IQ, and Verbal IQ; the presence of ASD or other DSM-IV diagnoses; BMI; head circumference; and medical data. RESULTS: Among the 1006 study participants, the duplication was associated with a mean FSIQ score that was lower by 26.3 points between proband carriers and noncarrier relatives and a lower mean FSIQ score (16.2-11.4 points) in nonproband carriers. The mean overall effect of the deletion was similar (-22.1 points; P < .001). However, broad variation in FSIQ was found, with a 19.4- and 2.0-fold increase in the proportion of FSIQ scores that were very low (100) compared with the deletion group (P < .001). Parental FSIQ predicted part of this variation (approximately 36.0% in hereditary probands). Although the frequency of ASD was similar in deletion and duplication proband carriers (16.0% and 20.0%, respectively), the FSIQ was significantly lower (by 26.3 points) in the duplication probands with ASD. There also were lower head circumference and BMI measurements among duplication carriers, which is consistent with the findings of previous studies. CONCLUSIONS AND RELEVANCE: The mean effect of the duplication on cognition is similar to that of the reciprocal deletion, but the variance in the duplication is significantly higher, with severe and mild subgroups not observed with the deletion. These results suggest that additional genetic and familial factors contribute to this variability. Additional studies will be necessary to characterize the predictors of cognitive deficits.
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- 2016
10. Mirror extreme BMI phenotypes associated with gene dosage at the chromosome 16p11.2 locus
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Stephen W. Scherer, Mònica Gratacòs, Kari Stefansson, Muriel Holder, Unnur Thorsteinsdottir, Lukas Forer, Katharina M. Roetzer, Josette Lucas, Claudia Schurmann, Satu Kaksonen, Armand Valsesia, Carina Wallgren-Pettersson, Barbara Leube, Alexandra I. F. Blakemore, Alexandre Moerman, Marco Belfiore, Anne Faudet, Dominique Gaillard, Roberto Ravazzolo, Dominique Bonneau, Marjo-Riitta Järvelin, Yongguo Yu, Louis Vallée, Bénédicte Demeer, Sophie Visvikis-Siest, Frédérique Béna, Brigitte H. W. Faas, Benoit Arveiler, Georg Homuth, Charles Coutton, Bénédicte de Fréminville, Giorgio Gimelli, Xavier Estivill, Richard I. Fisher, Stefania Gimelli, Wendy Roberts, Jacques S. Beckmann, Emilie Landais, Orah S. Platt, Robin G. Walters, Gudmar Thorleifsson, Alexandre Reymond, Anna-Liisa Hartikainen, Solenn Legallic, James F. Gusella, Peter Vollenweider, Gian Paolo Ramelli, Tõnu Esko, Boris Keren, Nine V A M Knoers, Fanny Morice-Picard, Dominique Campion, Odile Boute, Evica Rajcan-Separovic, Rolph Pfundt, Nathalie Bednarek, Martine Doco-Fenzy, Suzanne M E Lewis, Gérard Didelot, Mylène Beri, Engilbert Sigurdsson, Véronique Satre, Audrey Labalme, Carola Tengstrom, Florian Kronenberg, Florence Petit, Simon Zwolinksi, Philippe Froguel, Paul Elliott, Dorothée Cailley, Christian R. Marshall, Bruno Leheup, Klaus Dieterich, Janina S. Ried, Sylvie Jaillard, Armand Bottani, Stylianos E. Antonarakis, Elisabetta Lapi, Jean-Christophe Cuvellier, Robert M. Witwicki, Gérard Waeber, Christèle Dubourg, Marion Gérard, Lachlan J. M. Coin, Magalie Barth, Anita Kloss-Brandstätter, Vincent Mooser, Cristóbal Richart, Giuseppe Merla, Bénédicte Duban-Bedu, Yiping Shen, Ants Kurg, Audrey Guilmatre, Juliane Hoyer, Susana Jiménez-Murcia, Mafalda Mucciolo, Bai-Lin Wu, Alessandra Ferrarini, Séverine Drunat, Yves Alembik, Páll Magnússon, Han G. Brunner, Maria Antonietta Mencarelli, Dominique Descamps, R. Frank Kooy, Azzedine Aboura, Valérie Layet, Sven Bergmann, Thomas Meitinger, Peter M. Kroisel, Nathalie Van der Aa, Olivier Guillin, Michèle Mathieu-Dramard, Zoltán Kutalik, Elisabeth Flori, Laurent Pasquier, André Reis, Noam D. Beckmann, Bertrand Isidor, Delphine Héron, Philippe Jonveaux, Sergi Villatoro Gomez, Ann Nordgren, José Manuel Fernández-Real, Florence Fellmann, Fernando Fernández-Aranda, Laurence Faivre, Dimitri J. Stavropoulos, Katrin Männik, Christian Gieger, Evald Saemundsen, Agnès Guichet, Jean-Marie Cuisset, R. Touraine, Laura Bernardini, Marie-Ange Delrue, Alessandra Renieri, Omar Gustafsson, Flore Zufferey, David A. Koolen, Massimiliano Rossi, Jacqueline Chrast, Ghislaine Plessis, Faida Walha, Joris Andrieux, Ellen van Binsbergen, Albert David, Catherine Vincent-Delorme, Cédric Le Caignec, Jean Chiesa, Ndeye Coumba Ndiaye, Geraldine Joly Helas, Damien Sanlaville, Anita Rauch, Louise Harewood, Mark I. McCarthy, Bridget A. Fernandez, Sébastien Jacquemont, Hreinn Stefansson, Anneke T. Vulto-van Silfhout, Zdenek Jaros, Matthias Nauck, Hans J. Grabe, Sonia Bouquillon, Mieke M. van Haelst, Andres Metspalu, Loyse Hippolyte, Patrick Callier, Bert B.A. de Vries, Francisco J. Tinahones, Nicole de Leeuw, Julia S. El-Sayed Moustafa, Claudine Rieubland, Kay D. MacDermot, Vittoria Disciglio, Henry Völzke, Caroline Rooryck, Bettina Blaumeiser, Danielle Martinet, Marie-Claude Addor, Bruno Delobel, Jacquemont, S, Reymond, A, Zufferey, F, Harewood, L, Walters, Rg, Kutalik, Z, Martinet, D, Shen, Y, Valsesia, A, Beckmann, Nd, Thorleifsson, G, Belfiore, M, Bouquillon, S, Campion, D, de Leeuw, N, de Vries, Bb, Esko, T, Fernandez, Ba, Fernández-Aranda, F, Fernández-Real, Jm, Gratacòs, M, Guilmatre, A, Hoyer, J, Jarvelin, Mr, Kooy, Rf, Kurg, A, Le Caignec, C, Männik, K, Platt, O, Sanlaville, D, Van Haelst, Mm, Villatoro Gomez, S, Walha, F, Wu, Bl, Yu, Y, Aboura, A, Addor, Mc, Alembik, Y, Antonarakis, Se, Arveiler, B, Barth, M, Bednarek, N, Béna, F, Bergmann, S, Beri, M, Bernardini, L, Blaumeiser, B, Bonneau, D, Bottani, A, Boute, O, Brunner, Hg, Cailley, D, Callier, P, Chiesa, J, Chrast, J, Coin, L, Coutton, C, Cuisset, Jm, Cuvellier, Jc, David, A, de Freminville, B, Delobel, B, Delrue, Ma, Demeer, B, Descamps, D, Didelot, G, Dieterich, K, Disciglio, V, Doco-Fenzy, M, Drunat, S, Duban-Bedu, B, Dubourg, C, El-Sayed Moustafa, J, Elliott, P, Faas, Bh, Faivre, L, Faudet, A, Fellmann, F, Ferrarini, A, Fisher, R, Flori, E, Forer, L, Gaillard, D, Gerard, M, Gieger, C, Gimelli, S, Gimelli, G, Grabe, Hj, Guichet, A, Guillin, O, Hartikainen, Al, Heron, D, Hippolyte, L, Holder, M, Homuth, G, Isidor, B, Jaillard, S, Jaros, Z, Jiménez-Murcia, S, Helas, Gj, Jonveaux, P, Kaksonen, S, Keren, B, Kloss-Brandstätter, A, Knoers, Nv, Koolen, Da, Kroisel, Pm, Kronenberg, F, Labalme, A, Landais, E, Lapi, E, Layet, V, Legallic, S, Leheup, B, Leube, B, Lewis, S, Lucas, J, Macdermot, Kd, Magnusson, P, Marshall, C, Mathieu-Dramard, M, Mccarthy, Mi, Meitinger, T, Mencarelli, Ma, Merla, G, Moerman, A, Mooser, V, Morice-Picard, F, Mucciolo, M, Nauck, M, Ndiaye, Nc, Nordgren, A, Pasquier, L, Petit, F, Pfundt, R, Plessis, G, Rajcan-Separovic, E, Ramelli, Gp, Rauch, A, Ravazzolo, R, Reis, A, Renieri, A, Richart, C, Ried, J, Rieubland, C, Roberts, W, Roetzer, Km, Rooryck, C, Rossi, M, Saemundsen, E, Satre, V, Schurmann, C, Sigurdsson, E, Stavropoulos, Dj, Stefansson, H, Tengström, C, Thorsteinsdóttir, U, Tinahones, Fj, Touraine, R, Vallée, L, van Binsbergen, E, Van der Aa, N, Vincent-Delorme, C, Visvikis-Siest, S, Vollenweider, P, Völzke, H, Vulto-van Silfhout, At, Waeber, G, Wallgren-Pettersson, C, Witwicki, Rm, Zwolinksi, S, Andrieux, J, Estivill, X, Gusella, Jf, Gustafsson, O, Metspalu, A, Scherer, Sw, Stefansson, K, Blakemore, Ai, Beckmann, J, Froguel, P, Faculteit Medische Wetenschappen/UMCG, Service de génétique médicale, Centre Hospitalier Universitaire Vaudois [Lausanne] (CHUV), Center for Integrative Genomics - Institute of Bioinformatics, Génopode (CIG), Swiss Institute of Bioinformatics [Lausanne] (SIB), Université de Lausanne = University of Lausanne (UNIL)-Université de Lausanne = University of Lausanne (UNIL), Department of Genomics of Common Disease, Imperial College London, Department of Medical Genetics, Université de Lausanne = University of Lausanne (UNIL), Laboratory Medicine, Boston Children's Hospital, Center for Human Genetic Research, Massachusetts General Hospital [Boston], Ludwig Institute for Cancer Research, deCODE Genetics, deCODE genetics [Reykjavik], Laboratoire de Génétique Médicale, Hôpital Jeanne de Flandre [Lille]-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Génétique médicale et fonctionnelle du cancer et des maladies neuropsychiatriques, Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Estonian Genome and Medicine, University of Tartu, Department of human genetics, Radboud University Medical Center [Nijmegen]-Nijmegen Centre for Molecular Life Sciences-Institute for Genetic and Metabolic Disorders, Institute of Molecular and Cell Biology, Disciplines of Genetics and Medicine, Memorial University of Newfoundland = Université Memorial de Terre-Neuve [St. John's, Canada] (MUN), Department of Psychiatry (IDIBELL), CIBERobn Fisiopatología de la Obesidad y Nutrición-University Hospital of Bellvitge, Section of Diabetes, Endocrinology and Nutrition, University Hospital of Girona-Biomedical Research Institute 'Dr Josep Trueta'-CIBERobn Fisiopatología de la Obesidad y Nutrición, Center for Genomic Regulation (CRG-UPF), CIBER de Epidemiología y Salud Pública (CIBERESP), Institute of Human Genetics [Erlangen, Allemagne], Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Department of child and adolescent health, University of Oulu-Institute of Health Sciences and Biocenter Oulu-National Institute for Health and Welfare [Helsinki], Antwerp University Hospital [Edegem] (UZA), CHU Trousseau [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Service de cytogénétique constitutionnelle, Hospices Civils de Lyon (HCL)-CHU de Lyon-Centre Neuroscience et Recherche, University Medical Center [Utrecht], Institutes of Biomedical Science, Fudan University [Shanghai]-Children's Hospital, Shanghai Children's Medical Center, Département de génétique, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Robert Debré-Université Paris Diderot - Paris 7 (UPD7), Service de cytogénétique, CHU Strasbourg-Hôpital de Hautepierre [Strasbourg], Génétique médicale, Hôpitaux Universitaires de Genève (HUG), Maladies Rares - Génétique et Métabolisme (MRGM), Université Bordeaux Segalen - Bordeaux 2-Hôpital Pellegrin-Service de Génétique Médicale du CHU de Bordeaux, Université de Bordeaux (UB)-CHU Bordeaux [Bordeaux]-Groupe hospitalier Pellegrin, Service de génétique [Angers], Université d'Angers (UA)-Centre Hospitalier Universitaire d'Angers (CHU Angers), PRES Université Nantes Angers Le Mans (UNAM)-PRES Université Nantes Angers Le Mans (UNAM), Université de Reims Champagne-Ardenne (URCA), Department of Molecular Genetics, Weizmann Institute of Science [Rehovot, Israël], Service de Génétique [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Mendel Laboratory, Istituto di Ricovero e Cura a Carattere Scientifico, Ospedale Casa Sollievo della Sofferenza [San Giovanni Rotondo] (IRCCS), Service de Génétique clinique, Laboratoire de cytogénétique (CHU de Dijon), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Laboratoire de Cytogénétique, Centre Hospitalier Universitaire de Nîmes (CHU Nîmes), Département de génétique et procréation, Université Joseph Fourier - Grenoble 1 (UJF)-CHU Grenoble-faculté de médecine-pharmacie, AGeing and IMagery (AGIM), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de biochimie et génétique moléculaire, CHU Grenoble, Service de Neuropédiatrie, Hôpital Roger Salengro [Lille]-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Service de génétique, Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E), Centre de Génétique Chromosomique, Hôpital Saint Vincent de Paul-Groupement des Hôpitaux de l'Institut Catholique de Lille (GHICL), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), CHU Amiens-Picardie, Centre Hospitalier de Béthune (CH Béthune), GHT de l'Artois, Service de Génétique Clinique, Department of Biotechnology, Università degli Studi di Siena = University of Siena (UNISI)-Medical Genetics, Service de Génétique, Centre Hospitalier Universitaire de Reims (CHU Reims)-Hôpital Maison Blanche-IFR 53, Université de Reims Champagne-Ardenne (URCA)-Université de Reims Champagne-Ardenne (URCA), Institut de Génétique et Développement de Rennes (IGDR), Université de Rennes (UR)-Centre National de la Recherche Scientifique (CNRS), Department of Epidemiology and Public Health, Department of Human Genetics [Nijmegen], Radboud University Medical Center [Nijmegen], Department of Experimental Cardiology, Academic Medical Center - Academisch Medisch Centrum [Amsterdam] (AMC), University of Amsterdam [Amsterdam] (UvA)-University of Amsterdam [Amsterdam] (UvA)-Heart Failure Research Center (HFRC), CHU Pitié-Salpêtrière [AP-HP], Institute of human genetics, International Centre for Life, Division of genetic epidemiology, HMNC Brain Health-Molecular and Clinical Pharmacology-Innsbruck Medical University = Medizinische Universität Innsbruck (IMU), Institute of Experimental Medicine, Czech Academy of Sciences [Prague] (CAS), Department of Obstetrics and Gynecology, University of Oulu-Institute of Clinical Medicine, Laboratorio di citogenetica, G. Gaslini Institute, Department of Psychiatry and Psychotherapy, Universität Greifswald - University of Greifswald, Interfaculty Institute for Genetics and Functional Genomics, Abteilung für Kinder und Jugendheilkunde, Landesklinikum Waldviertel Zwettl, Service de génétique [Rouen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU), The Habilitation Unit of Folkhalsan, Medical University Graz, Medical Genetics Unit, Children's Hospital Anna Meyer, Unité de Cytogénétique et Génétique Médicale, Groupe Hospitalier du Havre-Hôpital Gustave Flaubert, Service de Médecine Infantile III et Génétique Clinique [CHRU Nancy], Institute of Human Genetics and Anthropology, Heinrich-Heine University Hospital Duesseldorf, Child and Family Research Institute-University of British Columbia (UBC), North West Thames Regional Genetics Service, Northwick Park & St Marks Hospital, Child and Adolescent Psychiatry, Landspitali University Hospital, Program in Genetics and Genomic Biology, Hospital for Sick Children-University of Toronto McLaughlin Centre, Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), University of Oxford, The Wellcome Trust Centre for Human Genetics [Oxford], Institute of Human Genetics, Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM)-Helmholtz Zentrum München = German Research Center for Environmental Health, Genetics, GlaxoSmithKline R&D, GlaxoSmithKline, Institute of Clinical Chemistry and Laboratory Medicine, Génétique cardiovasculaire (GC), Université Henri Poincaré - Nancy 1 (UHP), Molecular Medicine and Surgery department, Karolinska Institutet [Stockholm], Service de Génétique [CHU Caen], Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Tumorothèque de Caen Basse-Normandie (TCBN), Department of Pathology, Division of pediatrics, Ospedale San Giovanni, Institute of Medical Genetics, Universität Zürich [Zürich] = University of Zurich (UZH), Department of pediatrics and CEBR, Università degli studi di Genova = University of Genoa (UniGe)-G. Gaslini Institute, Department of Internal Medicine, Universitat Rovira i Virgili-University Hospital Juan XXIII-Instituto Salud Carlos III-Ciber Fisiopatologia Obesidad y Nutricion (CIBEROBN), Division of Human Genetics, Department of Paediatrics, Inselspital-University of Bern, Autism Research Unit, The Hospital for sick children [Toronto] (SickKids)-University of Toronto, State Diagnostic, Counseling Center, University of Iceland [Reykjavik], Department of Pediatric Laboratory Medicine, Hospital for Sick Children, Genetic Services, Rinnekoti Research Foundation, Department of Endocrinology and Nutrition, Instituto Salud Carlos III-Clinic Hospital of Virgen de la Victoria-Ciber Fisiopatologia y Nutricion (CIBEROBN), Centre de Maladies Rares, Anomalies du Développement Nord de France-CH Arras - CHRU Lille, Institute for Community Medicine, Department of Medical and Clinical Genetics [Helsinki], Haartman Institute [Helsinki], Faculty of Medecine [Helsinki], Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Faculty of Medecine [Helsinki], Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, The Centre for Applied Genomics, Toronto, The Hospital for sick children [Toronto] (SickKids)-University of Toronto-Department of Molecular Genetics-McLaughlin Centre, Institut de biologie de Lille - UMS 3702 (IBL), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), This work was supported by the Leenaards Foundation Prize (SJ, DM and AR), the Jérôme Lejeune Foundation (AR), the Telethon Action Suisse Foundation (AR), the Swiss National Science Foundation (AR, JSB, SB and SEA), a SNSF Sinergia grant (SJ, DM, SB, JSB and AR), the European Commission anEUploidy Integrated Project grant 037627 (AR, SB, XE, HGB and SEA), the Ludwig Institute for Cancer Research (AV), the Swiss Institute of Bioinformatics (SB, ZK), an Imperial College Dept of Medicine PhD studentship (JSe-SM), the Comprehensive Biomedical Research Centre, Imperial College Healthcare NHS Trust, and the National Institute for Health Research (PE), the Wellcome Trust and the Medical Research Council (AIFB and PF), the Instituto de Salud Carlos III (ISCIII)-FIS, the German Mental Retardation Network funded through a grant of the German Federal Ministry of Education and Research (NGFNplus 01GS08160) to A Reis and European Union-FEDER (PI081714, PS09/01778), SAF2008-02278 (XE, MG, FFA), the Belgian National Fund for Scientific Research - Flanders (NVA, RFK), the Dutch Organisation for Health Research and Development (ZONMW grant 917-86-319) and Hersenstichting Nederland (BBAdV), grant 81000346 from the Chinese National Natural Science Foundation (YGY), the Simons Foundation Autism Research Initiative, Autism Speaks and NIH grant GM061354 (JFG), and the OENB grant 13059 (AK-B). YS holds a Young Investigator Award from the Children's Tumor Foundation and Catalyst Award from Harvard Medical School, and BLW, a Fudan Scholar Research Award from Fudan University, a grant from Chinese National '973' project on Population and Health (2010CB529601) and a grant from Science and Technology Council of Shanghai (09JC1402400). ERS and SL, recipients of the Michael Smith Foundation for Health Research Scholar award, acknowledge the CIHR MOP 74502 operational grant. EGCUT received support from the EU Centre of Excellence in Genomics and FP7 grants #201413 and #245536, from Estonian Government SF0180142s08, SF0180026s09 and SF0180027s10 (AM, KM, AK). The Helmholtz Zentrum Munich and the State of Bavaria financed KORA, also supported by the German National Genome Research Network (NGFN-2 and NGFNPlus: 01GS0823), the German Federal Ministry of Education and Research (BMBF), and the Munich Center of Health Sciences (MC Health, LMUinnovativ). CIBEROBN and CIBERESP are initiatives of ISCIII (Spain). SWS holds the GlaxoSmithKline-Canadian Institutes of Health (CIHR) Chair in Genetics, Genomics at the University of Toronto and the Hospital for Sick Children and is supported by Genome Canada and the McLaughlin Centre. deCODE was funded in part by NIH grant MH071425 (KS), EU grant HEALTH-2007-2.2.1-10-223423 (Project PsychCNV) and EU grant IMI-JU-NewMeds., Centre de génomique intégrative, Université de Lausanne (UNIL), Swiss Institute of Bioinformatics (SIB), Swiss Institute of Bioinformatics, Memorial University of Newfoundland [St. John's], Friedrich Alexander University [Erlangen-Nürnberg], Service d'ORL et de Chirurgie Cervicofaciale, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Trousseau [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Robert Debré-Université Paris Diderot - Paris 7 (UPD7), Weizmann Institute of Science, IRCCS Casa Sollievo della Sofferenza Hospital, Centre Hospitalier Régional Universitaire de Nîmes (CHRU Nîmes), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-École pratique des hautes études (EPHE)-Centre National de la Recherche Scientifique (CNRS), Hôpital Roger Salengro-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), CHU Saint-Etienne-Hôpital nord, Hôpital Saint Vincent de Paul-GHICL, Centre hospitalier de Béthune, Università degli Studi di Siena (UNISI)-Medical Genetics, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-IFR140-Centre National de la Recherche Scientifique (CNRS), Department of Human Genetics, Radboud University Medical Centre, PO Box 9101, 6500 HB Nijmegen, Service de Génétique Cytogénétique et Embryologie [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-CHU Pitié-Salpêtrière [APHP], Innsbruck Medical University [Austria] (IMU)-HMNC Brain Health-Molecular and Clinical Pharmacology, Czech Academy of Sciences [Prague] (ASCR), University of Oxford [Oxford], Technische Universität München [München] (TUM)-Helmholtz-Zentrum München (HZM)-German Research Center for Environmental Health, University of Zürich [Zürich] (UZH), Universita degli studi di Genova -G. Gaslini Institute, University of Toronto-The Hospital for Sick Children, University of Helsinki-University of Helsinki-Faculty of Medecine [Helsinki], University of Helsinki-University of Helsinki, University of Toronto-The Hospital for Sick Children-Department of Molecular Genetics-McLaughlin Centre, Institut de biologie de Lille - IBL (IBLI), Université de Lille, Sciences et Technologies-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), Human genetics, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Reproduction & Development (AR&D), De Villemeur, Hervé, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Université Pierre Mendès France - Grenoble 2 (UPMF)-Université Joseph Fourier - Grenoble 1 (UJF)-École pratique des hautes études (EPHE), Service of Medical Genetics, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, Switzerland., Other departments, Reymond, Alexandre, Antonarakis, Stylianos, Sloan Bena, Frédérique, Bottani, Armand, Callier, Patrick, Gimelli, Stefania, Merla, Giuseppe, Vollenweider, Peter, Université de Lausanne (UNIL)-Université de Lausanne (UNIL), Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Joseph Fourier - Grenoble 1 (UJF)-Université Pierre Mendès France - Grenoble 2 (UPMF), Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM)-Helmholtz-Zentrum München (HZM)-German Research Center for Environmental Health, CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Université de Caen Normandie (UNICAEN), University of Toronto-The Hospital for sick children [Toronto] (SickKids)-Department of Molecular Genetics-McLaughlin Centre, Université de Lille-Institut Pasteur de Lille, and Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Centre National de la Recherche Scientifique (CNRS)
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Male ,Aging ,Transcription, Genetic ,Adolescent ,Adult ,Aged ,Body Height ,Body Mass Index ,Case-Control Studies ,Child ,Child, Preschool ,Chromosomes, Human, Pair 16 ,Cohort Studies ,Comparative Genomic Hybridization ,Developmental Disabilities ,Energy Metabolism ,Europe ,Female ,Gene Dosage ,Gene Duplication ,Gene Expression Profiling ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Head ,Heterozygote ,Humans ,Infant ,Infant, Newborn ,Mental Disorders ,Middle Aged ,Mutation ,North America ,Obesity ,Phenotype ,RNA, Messenger ,Sequence Deletion ,Thinness ,Young Adult ,Physiology ,RNA, Messenger/analysis/genetics ,Genome-wide association study ,HIDDEN-MARKOV MODEL ,0302 clinical medicine ,Sequence Deletion/genetics ,ddc:576.5 ,0303 health sciences ,education.field_of_study ,Body Height/genetics ,Genetic Predisposition to Disease/genetics ,[SDV.MHEP.EM]Life Sciences [q-bio]/Human health and pathology/Endocrinology and metabolism ,3. Good health ,population characteristics ,Chromosomes, Human, Pair 16/genetics ,Human ,Locus (genetics) ,Gene Duplication/genetics ,Article ,03 medical and health sciences ,Genetic ,education ,SNP GENOTYPING DATA ,Thinness/genetics ,[SDV.GEN]Life Sciences [q-bio]/Genetics ,Pair 16 ,Case-control study ,nutritional and metabolic diseases ,social sciences ,medicine.disease ,DEPENDENT PROBE AMPLIFICATION ,Human medicine ,Body mass index ,030217 neurology & neurosurgery ,Messenger ,Obesity/genetics ,FAILURE-TO-THRIVE ,[SDV.GEN] Life Sciences [q-bio]/Genetics ,Head/anatomy & histology ,METABOLIC SYNDROME ,[SDV.MHEP.EM] Life Sciences [q-bio]/Human health and pathology/Endocrinology and metabolism ,2. Zero hunger ,Genetics ,Multidisciplinary ,TIME QUANTITATIVE PCR ,Failure to thrive ,medicine.symptom ,Underweight ,Transcription ,geographic locations ,Mutation/genetics ,Population ,Biology ,Chromosomes ,150 000 MR Techniques in Brain Function ,medicine ,Preschool ,030304 developmental biology ,COPY NUMBER VARIATION ,Mental Disorders/genetics ,Energy Metabolism/genetics ,RELATIVE QUANTIFICATION ,Gene Dosage/genetics ,Newborn ,BODY-MASS INDEX ,CIRCULAR BINARY SEGMENTATION ,RNA ,Genetics and epigenetic pathways of disease Genomic disorders and inherited multi-system disorders [NCMLS 6] ,human activities ,Developmental Disabilities/genetics - Abstract
To access publisher full text version of this article. Please click on the hyperlink in Additional Links field. Both obesity and being underweight have been associated with increased mortality. Underweight, defined as a body mass index (BMI) ≤ 18.5 kg per m(2) in adults and ≤ -2 standard deviations from the mean in children, is the main sign of a series of heterogeneous clinical conditions including failure to thrive, feeding and eating disorder and/or anorexia nervosa. In contrast to obesity, few genetic variants underlying these clinical conditions have been reported. We previously showed that hemizygosity of a ∼600-kilobase (kb) region on the short arm of chromosome 16 causes a highly penetrant form of obesity that is often associated with hyperphagia and intellectual disabilities. Here we show that the corresponding reciprocal duplication is associated with being underweight. We identified 138 duplication carriers (including 132 novel cases and 108 unrelated carriers) from individuals clinically referred for developmental or intellectual disabilities (DD/ID) or psychiatric disorders, or recruited from population-based cohorts. These carriers show significantly reduced postnatal weight and BMI. Half of the boys younger than five years are underweight with a probable diagnosis of failure to thrive, whereas adult duplication carriers have an 8.3-fold increased risk of being clinically underweight. We observe a trend towards increased severity in males, as well as a depletion of male carriers among non-medically ascertained cases. These features are associated with an unusually high frequency of selective and restrictive eating behaviours and a significant reduction in head circumference. Each of the observed phenotypes is the converse of one reported in carriers of deletions at this locus. The phenotypes correlate with changes in transcript levels for genes mapping within the duplication but not in flanking regions. The reciprocal impact of these 16p11.2 copy-number variants indicates that severe obesity and being underweight could have mirror aetiologies, possibly through contrasting effects on energy balance. Leenaards Foundation Jerome Lejeune Foundation Telethon Action Suisse Foundation Swiss National Science Foundation European Commission 037627 QLG1-CT-2000-01643 Ludwig Institute for Cancer Research Swiss Institute of Bioinformatics Imperial College Department of Medicine Comprehensive Biomedical Research Centre Imperial College Healthcare NHS Trust National Institute for Health Research Wellcome Trust Medical Research Council Instituto de Salud Carlos III (ISCIII)-FIS German Mental Retardation Network German Federal Ministry of Education and Research NGFNplus 01GS08160 European Union PI081714 PS09/01778 201413 245536 info:eu-repo/grantAgreement/EC/FP7/223423 Belgian National Fund for Scientific Research, Flanders Dutch Organisation for Health Research and Development (ZON-MW) 917-86-319 Hersenstichting Nederland (B.B.A.d.V.) Chinese National Natural Science Foundation 81000346 Simons Foundation Autism Research Initiative Autism Speaks NIH GM061354 MH071425 Oesterreichische Nationalbank (OENB) 13059 Children's Tumor Foundation Harvard Medical School Fudan University Chinese National '973' project on Population and Health 2010CB529601 Science and Technology Council of Shanghai 09JC1402400 Michael Smith Foundation for Health CIHR MOP 74502 Estonian Government SF0180142s08 SF0180026s09 SF0180027s10 Helmholtz Zentrum Munich State of Bavaria German National Genome Research Network 01GS0823 German Federal Ministry of Education and Research (BMBF) Munich Center of Health Sciences (MC Health, LMUinnovativ) Genome Canada McLaughlin Centre Academy of Finland 104781 120315 129269 1114194 University Hospital Oulu Biocenter University of Oulu, Finland 75617 NHLBI 5R01HL087679-02 1RL1MH083268-01 NIH/NIMH 5R01MH63706:02 ENGAGE project Medical Research Council, UK G0500539 G0600705 Academy of Finland Biocentrum Helsinki SAF2008-02278 HEALTH-F4-2007-201413
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- 2011
11. Combined Count- and Size-Based Analysis of Maternal Plasma DNA for Noninvasive Prenatal Detection of Fetal Subchromosomal Aberrations Facilitates Elucidation of the Fetal and/or Maternal Origin of the Aberrations.
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Yu SC, Jiang P, Chan KC, Faas BH, Choy KW, Leung WC, Leung TY, Lo YM, and Chiu RW
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- DNA blood, DNA Copy Number Variations genetics, Female, Fetus, Humans, Male, Pregnancy, Chromosome Aberrations, DNA genetics, Prenatal Diagnosis
- Abstract
Background: Noninvasive prenatal detection of fetal subchromosomal copy number aberrations (CNAs) can be achieved through massively parallel sequencing of maternal plasma DNA. However, when a mother herself is a carrier of a CNA, one cannot discern if her fetus has inherited the CNA. In addition, false-positive results would become more prevalent when more subchromosomal regions are analyzed., Methods: We used a strategy that combined count- and size-based analyses of maternal plasma DNA for the detection of fetal subchromosomal CNAs in 7 target regions for 10 test cases., Results: For the 5 cases in which CNAs were present only in the fetus, the size-based approach confirmed the aberrations detected by the count-based approach. For the 5 cases in which the mother herself carried an aberration, we successfully deduced that 3 of the fetuses had inherited the aberrations and that the other 2 fetuses had not inherited the aberrations. No false positives were observed in this cohort., Conclusions: Combined count- and size-based analysis of maternal plasma DNA permits the noninvasive elucidation of whether a fetus has inherited a CNA from its mother who herself is a carrier of the CNA. This strategy has the potential to improve the diagnostic specificity of noninvasive prenatal testing., (© 2016 American Association for Clinical Chemistry.)
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- 2017
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12. Trial by Dutch laboratories for evaluation of non-invasive prenatal testing. Part I-clinical impact.
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Oepkes D, Page-Christiaens GC, Bax CJ, Bekker MN, Bilardo CM, Boon EM, Schuring-Blom GH, Coumans AB, Faas BH, Galjaard RH, Go AT, Henneman L, Macville MV, Pajkrt E, Suijkerbuijk RF, Huijsdens-van Amsterdam K, Van Opstal D, Verweij EJ, Weiss MM, and Sistermans EA
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- Adult, Chromosomes, Human, Pair 13, Chromosomes, Human, Pair 18, Down Syndrome diagnosis, False Negative Reactions, False Positive Reactions, Female, Follow-Up Studies, High-Throughput Nucleotide Sequencing, Humans, Netherlands, Nuchal Translucency Measurement, Pregnancy, Pregnancy Trimester, First, Time Factors, Trisomy diagnosis, Trisomy 13 Syndrome, Trisomy 18 Syndrome, Ultrasonography, Prenatal, Chromosome Disorders diagnosis, DNA blood, Sequence Analysis, DNA methods
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Objective: To evaluate the clinical impact of nationwide implementation of genome-wide non-invasive prenatal testing (NIPT) in pregnancies at increased risk for fetal trisomies 21, 18 and 13 (TRIDENT study)., Method: Women with elevated risk based on first trimester combined testing (FCT ≥ 1:200) or medical history, not advanced maternal age alone, were offered NIPT as contingent screening test, performed by Dutch University Medical laboratories. We analyzed uptake, test performance, redraw/failure rate, turn-around time and pregnancy outcome., Results: Between 1 April and 1 September 2014, 1413/23 232 (6%) women received a high-risk FCT result. Of these, 1211 (85.7%) chose NIPT. One hundred seventy-nine women had NIPT based on medical history. In total, 1386/1390 (99.7%) women received a result, 6 (0.4%) after redraw. Mean turn-around time was 14 days. Follow-up was available in 1376 (99.0%) pregnancies. NIPT correctly predicted 37/38 (97.4%) trisomies 21, 18 or 13 (29/30, 4/4 and 4/4 respectively); 5/1376 (0.4%) cases proved to be false positives: trisomies 21 (n = 2), 18 (n = 1) and 13 (n = 2). Estimated reduction in invasive testing was 62%., Conclusion: Introduction of NIPT in the Dutch National healthcare-funded Prenatal Screening Program resulted in high uptake and a vast reduction of invasive testing. Our study supports offering NIPT to pregnant women at increased risk for fetal trisomy. © 2016 The Authors. Prenatal Diagnosis published by John Wiley & Sons, Ltd. © 2016 The Authors. Prenatal Diagnosis published by John Wiley & Sons, Ltd., (© 2016 The Authors. Prenatal Diagnosis published by John Wiley & Sons, Ltd.)
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- 2016
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13. Trial by Dutch laboratories for evaluation of non-invasive prenatal testing. Part II-women's perspectives.
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van Schendel RV, Page-Christiaens GC, Beulen L, Bilardo CM, de Boer MA, Coumans AB, Faas BH, van Langen IM, Lichtenbelt KD, van Maarle MC, Macville MV, Oepkes D, Pajkrt E, and Henneman L
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- Adult, Chromosomes, Human, Pair 13, Chromosomes, Human, Pair 18, Down Syndrome diagnosis, Educational Status, False Positive Reactions, Female, Follow-Up Studies, Humans, Middle Aged, Netherlands, Pregnancy, Pregnancy Trimester, First, Surveys and Questionnaires, Time Factors, Trisomy diagnosis, Trisomy 13 Syndrome, Trisomy 18 Syndrome, Young Adult, Anxiety psychology, Attitude to Health, Chromosome Disorders diagnosis, Conflict, Psychological, DNA blood, Decision Making, Health Literacy, Sequence Analysis, DNA methods
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Objective: To evaluate preferences and decision-making among high-risk pregnant women offered a choice between Non-Invasive Prenatal Testing (NIPT), invasive testing or no further testing., Methods: Nationwide implementation study (TRIDENT) offering NIPT as contingent screening test for women at increased risk for fetal aneuploidy based on first-trimester combined testing (>1:200) or medical history. A questionnaire was completed after counseling assessing knowledge, attitudes and participation following the Multidimensional Measure of Informed Choice., Results: A total of 1091/1253 (87%) women completed the questionnaire. Of these, 1053 (96.5%) underwent NIPT, 37 (3.4%) invasive testing and 1 (0.1%) declined testing. 91.7% preferred NIPT because of test safety. Overall, 77.9% made an informed choice, 89.8% had sufficient knowledge and 90.5% had positive attitudes towards NIPT. Women with intermediate (odds ratio (OR) = 3.51[1.70-7.22], p < 0.001) or high educational level (OR = 4.36[2.22-8.54], p < 0.001) and women with adequate health literacy (OR = 2.60[1.36-4.95], p = 0.004) were more likely to make an informed choice. Informed choice was associated with less decisional conflict and less anxiety (p < 0.001). Intention to terminate the pregnancy for Down syndrome was higher among women undergoing invasive testing (86.5%) compared to those undergoing NIPT (58.4%) (p < 0.001)., Conclusions: The majority of women had sufficient knowledge and made an informed choice. Continuous attention for counseling is required, especially for low-educated and less health-literate women. © 2016 The Authors. Prenatal Diagnosis published by John Wiley & Sons, Ltd., (© 2016 The Authors. Prenatal Diagnosis published by John Wiley & Sons, Ltd.)
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- 2016
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14. The effect of a decision aid on informed decision-making in the era of non-invasive prenatal testing: a randomised controlled trial.
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Beulen L, van den Berg M, Faas BH, Feenstra I, Hageman M, van Vugt JM, and Bekker MN
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- Adult, Decision Making, Female, Humans, Internet, Pregnancy, Informed Consent, Patient Education as Topic, Prenatal Diagnosis psychology
- Abstract
Early in pregnancy women and their partners face the complex decision on whether or not to participate in prenatal testing for fetal chromosomal abnormalities. Several studies show that the majority of pregnant women currently do not make informed decisions regarding prenatal testing. As the range of prenatal tests is expanding due to the development of new techniques such as non-invasive prenatal testing (NIPT), autonomous reproductive decision-making is increasingly challenging. In this study, a randomised controlled trial was conducted to evaluate the effect of a web-based multimedia decision aid on decision-making regarding prenatal testing. The decision aid provided both written and audiovisual information on prenatal tests currently available, that is, prenatal screening by first-trimester combined testing, NIPT and invasive diagnostic testing through chorionic villus sampling or amniocentesis. Furthermore, it contained values clarification exercises encouraging pregnant women to reflect on the potential harms and benefits of having prenatal tests performed. The use of the decision aid improved informed decision-making regarding prenatal testing. Of pregnant women allocated to the intervention group (n=130) 82.3% made an informed choice compared with 66.4% of women in the control group (n=131), P=0.004. As the vast majority of pregnant women made decisions consistent with their attitudes towards having prenatal testing performed, this improvement in informed decision-making could be attributed mainly to an increase in decision-relevant knowledge. This study shows that the implementation of a web-based multimedia decision aid directly facilitates the ultimate goal of prenatal testing for fetal chromosomal abnormalities, which is enabling informed autonomous reproductive choice.
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- 2016
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15. Validation of two-channel sequencing-by-synthesis for noninvasive prenatal testing of fetal whole and partial chromosome aberrations.
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Neveling K, Tjwan Thung D, Beulen L, van Rens-Buijsman W, Gomes I, van den Heuvel S, Mieloo H, Derks-Prinsen I, Kater-Baats E, and Faas BH
- Subjects
- Amniotic Fluid chemistry, Amniotic Fluid metabolism, Chorionic Villi chemistry, Chorionic Villi metabolism, DNA analysis, DNA blood, Female, Fetus metabolism, Humans, Male, Pregnancy, Chromosome Aberrations, Chromosome Disorders diagnosis, Genetic Testing methods, High-Throughput Nucleotide Sequencing methods, Prenatal Diagnosis methods
- Abstract
Objective: To validate Illumina's two-channel NextSeq 500 sequencing system for noninvasive prenatal testing (NIPT) of fetal whole chromosome and partial aberrations., Methods: A total of 162 plasma samples, previously sequenced for NIPT on a SOLiD 5500xl platform, were sequenced on the NextSeq 500 using 75-bp single-end sequencing, followed by analysis using the WISECONDOR algorithm., Results: For whole chromosome aneuploidy detection, all samples were classified correctly (in total 3× T13, 3× T18, 8× T21 and 145× euploid). Three partial aberrations (36-Mb terminal loss of 5p, 14-Mb gain on 18p and 33-Mb terminal loss of 13q) were also correctly identified. Fetal fractions in 34 male samples sequenced on both the SOLiD 5500xl and NextSeq 500 platform showed no significant difference. To test robustness, two sample sets, containing both euploid and aneuploid samples, were sequenced on different NextSeq 500 machines, revealing identical results. With unchanged laboratory flow, the NIPT turnaround time could be reduced from 15-16 calendar days to 7-8 calendar days, after switching from the SOLiD 5500xl to the NextSeq 500 platform., Conclusions: The NextSeq 500 platform can be used for NIPT to detect both whole and partial chromosome aberrations. It has fast turnaround times and is suitable for mid-sized laboratories., (© 2016 John Wiley & Sons, Ltd.)
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- 2016
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16. Cell-Free RNA Is a Reliable Fetoplacental Marker in Noninvasive Fetal Sex Determination.
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Mersy E, Faas BH, Spierts S, Houben LM, Macville MV, Frints SG, Paulussen AD, and Veltman JA
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- Adult, Amelogenin genetics, Biomarkers blood, DNA genetics, Female, Fetus blood supply, Fetus metabolism, Gene Expression, Humans, Male, Multiplex Polymerase Chain Reaction standards, Placenta blood supply, Placenta metabolism, Pregnancy, Prenatal Diagnosis standards, RNA genetics, Reverse Transcriptase Polymerase Chain Reaction standards, Sensitivity and Specificity, Sex Determination Analysis standards, Amelogenin blood, DNA blood, Multiplex Polymerase Chain Reaction methods, Prenatal Diagnosis methods, RNA blood, Reverse Transcriptase Polymerase Chain Reaction methods, Sex Determination Analysis methods
- Abstract
Background: Noninvasive genetic tests that use cell-free fetal DNA (cffDNA) are used increasingly in prenatal care. A low amount of cffDNA can have detrimental effects on the reliability of these tests. A marker to confirm the presence of fetal nucleic acids is therefore required that is universally applicable and easy to incorporate., Methods: We developed a novel multiplex, single-tube, noninvasive fetal sex determination assay by combining amplification of AMELY cffDNA with one-step reverse transcription (RT)-PCR of trophoblast-derived cell-free RNA (cfRNA), which functions as a sex-independent fetoplacental marker. We tested plasma samples from 75 pregnant women in duplicate in a blinded fashion. The fetus was considered to be male in the case of a positive result for AMELY and cfRNA amplification in both RT-PCRs. The fetus was considered to be female in the case of negative AMELY and positive cfRNA result in both RT-PCRs. In other cases, the test was repeated. We compared the results with invasive prenatal testing and pregnancy outcomes., Results: The AMELY cffDNA amplification and cfRNA result was unambiguous and identical in duplicate in 71 of 75 plasma samples (95%). Four samples (5%) required an extra replicate because of an absent fetoplacental marker. Thereafter, fetal sex was correctly determined in all 75 plasma samples., Conclusions: Amplification of trophoblast-derived cfRNA is a reliable marker for the confirmation of the presence of fetoplacentally derived nucleic acids in noninvasive fetal sex determination., (© 2015 American Association for Clinical Chemistry.)
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- 2015
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17. Maternal Malignancies Detected With Noninvasive Prenatal Testing.
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Sistermans E, Straver R, and Faas BH
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- Female, Humans, Pregnancy, Aneuploidy, Chromosome Disorders diagnosis, DNA blood, Genetic Testing, Neoplasms genetics, Prenatal Diagnosis
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- 2015
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18. The 2014 Malcolm Ferguson-Smith Young Investigator Award.
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Bianchi DW, Chitty LS, Deprest J, Faas BH, Ghidini A, and Cousens RK
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- Humans, Awards and Prizes, Biomedical Research, Prenatal Diagnosis
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- 2015
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19. Women's and healthcare professionals' preferences for prenatal testing: a discrete choice experiment.
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Beulen L, Grutters JP, Faas BH, Feenstra I, Groenewoud H, van Vugt JM, and Bekker MN
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- Abortion, Spontaneous etiology, Adolescent, Adult, False Positive Reactions, Female, Gestational Age, Health Care Costs, Humans, Male, Middle Aged, Pregnancy, Prenatal Diagnosis adverse effects, Prenatal Diagnosis economics, Sensitivity and Specificity, Surveys and Questionnaires, Time Factors, Young Adult, Attitude of Health Personnel, Choice Behavior, Midwifery, Obstetrics, Patient Preference, Prenatal Diagnosis methods
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Objective: This study evaluates pregnant women's and healthcare professionals' preferences regarding specific prenatal screening and diagnostic test characteristics., Method: A discrete choice experiment was developed to assess preferences for prenatal tests that differed in seven attributes: minimal gestational age, time to test results, level of information, detection rate, false positive rate, miscarriage risk and costs., Results: The questionnaire was completed by 596 (70.2%) pregnant women and 297 (51.7%) healthcare professionals, of whom 507 (85.1%) and 283 (95.3%), respectively, were included in further analyses as their choice behavior indicated prenatal testing was an option to them. Comparison of results showed differences in relative importance attached to attributes, further reflected by differences in willingness to trade between attributes. Pregnant women are willing to accept a less accurate test to obtain more information on fetal chromosomal status or to exclude the risk of procedure-related miscarriage. Healthcare professionals consider level of information and miscarriage risk to be most important as well but put more emphasis on timing and accuracy., Conclusion: Pregnant women and healthcare professionals differ significantly in their preferences regarding prenatal test characteristics. Healthcare professionals should take these differences into consideration when counseling pregnant women on prenatal testing., (© 2015 John Wiley & Sons, Ltd.)
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- 2015
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20. Prenatal genetic care: debates and considerations of the past, present and future.
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Faas BH
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- Fetus, Forecasting, Genetic Counseling methods, Genetic Testing methods, Genomics methods, Humans, Prenatal Care methods, Protein Array Analysis methods, Protein Array Analysis trends, Genetic Counseling trends, Genetic Testing trends, Genomics trends, Prenatal Care trends
- Abstract
After karyotyping invasively obtained fetal material for decades, the field of prenatal genetic care has changed tremendously since the turn of the century. The introduction of novel technologies and strategies went along with concerns and debates, in which key issues were costs, the finding of variants of unknown or uncertain clinical relevance, commercialization and ethical and social issues. At present, there is an explosion of new genomic technologies, which need critical assessment prior to implementation, especially in the prenatal field. The key issues of the debates we had in the past will again play a major role in guiding us toward careful implementation of these new techniques in future.
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- 2015
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21. Implementation of whole genome massively parallel sequencing for noninvasive prenatal testing in laboratories.
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Thung DT, Beulen L, Hehir-Kwa J, and Faas BH
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- Chromosome Aberrations, Chromosome Mapping, DNA Mutational Analysis, Female, Genetic Testing, Humans, Molecular Diagnostic Techniques, Polymorphism, Single Nucleotide, Pregnancy, Reproducibility of Results, Sensitivity and Specificity, High-Throughput Nucleotide Sequencing standards, Prenatal Diagnosis standards
- Abstract
Noninvasive prenatal testing (NIPT) for fetal aneuploidies using cell-free fetal DNA in maternal plasma has revolutionized the field of prenatal care and methods using massively parallel sequencing are now being implemented almost worldwide. Substantial progress has been made from initially testing for (an)euploidies of chromosomes 13, 18 and 21, to testing for sex chromosome (an)euploidies, additional autosomal aneuploidies as well as partial deletions and duplications genome-wide. Although NIPT is associated with significantly reduced risks for the fetus in comparison to existing invasive prenatal diagnostic methods, it presents several implementation challenges. Here, we review key issues potentially influencing NIPT and illustrate them using both data from literature and in-house data.
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- 2015
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22. In case you missed it: the Prenatal Diagnosis editors bring you the most significant advances of 2014.
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Faas BH, Ghidini A, Van Mieghem T, Chitty LS, Deprest J, and Bianchi DW
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- Education, Medical, Continuing methods, Female, Fetal Diseases drug therapy, Fetoscopy education, Fetoscopy trends, Humans, Nuchal Translucency Measurement trends, Pregnancy, Pregnancy Complications drug therapy, Prenatal Diagnosis methods, Prenatal Diagnosis trends, Publishing trends
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- 2015
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23. Current controversies in prenatal diagnosis 1: NIPT for chromosome abnormalities should be offered to women with low a priori risk.
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Van Lith JM, Faas BH, and Bianchi DW
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- Chromosome Disorders blood, Chromosome Disorders etiology, Down Syndrome blood, Down Syndrome diagnosis, Female, Humans, Infant, Newborn, Pregnancy, Risk Factors, Chromosome Disorders diagnosis, Prenatal Diagnosis methods
- Abstract
In its successful annual cycle of controversies and debates, the International Society of Prenatal Diagnosis and Therapy once again addressed non-invasive prenatal testing (NIPT) by following up on the 2013 controversy, 'Should non-invasive DNA testing be the standard screening test for Down syndrome in all pregnant women'? with the proposition, 'NIPT for chromosomel abnormalities should be offered to women with low a priori risk'., (© 2014 John Wiley & Sons, Ltd.)
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- 2015
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24. The consequences of implementing non-invasive prenatal testing in Dutch national health care: a cost-effectiveness analysis.
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Beulen L, Grutters JP, Faas BH, Feenstra I, van Vugt JM, and Bekker MN
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- Abortion, Spontaneous etiology, Adult, Amniocentesis adverse effects, Amniocentesis economics, Aneuploidy, Chorionic Villi Sampling adverse effects, Chorionic Villi Sampling economics, Cost-Benefit Analysis, Decision Trees, Female, Humans, Netherlands, Pregnancy, Prenatal Diagnosis adverse effects, Prenatal Diagnosis methods, Risk Factors, Ultrasonography, Prenatal, DNA blood, Down Syndrome diagnosis, Genetic Testing economics, Health Policy economics, Prenatal Diagnosis economics
- Abstract
Objective: Non-invasive prenatal testing (NIPT) using cell-free fetal DNA in maternal plasma has been developed for the detection of fetal aneuploidy. Clinical trials have shown high sensitivity and specificity for trisomy 21 (T21) in both high-risk and average-risk populations. Although its great potential for prenatal medicine is evident, more information regarding the consequences of implementing NIPT in a national programme for prenatal screening is required., Study Design: A decision-analytic model was developed to compare costs and outcomes of current clinical practice in The Netherlands using conventional screening only, with two alternatives: implementing NIPT as an optional secondary screening test for those pregnancies complicated by a high risk for T21, and implementing NIPT as primary screening test, replacing conventional screening. Probability estimates were derived from a systematic review of international literature. Costs were determined from a health-care perspective. Data were analysed to obtain outcomes, total costs, relative costs and incremental cost-effectiveness ratios (ICERs) for the different strategies. Sensitivity analysis was used to assess the impact of assumptions on model results., Results: Implementing NIPT as an optional secondary, or as primary screening test will increase T21 detection rate by 36% (from 46.8% to 63.5%) and 54% (from 46.8% to 72.0%), simultaneously decreasing the average risk of procedure-related miscarriage by 44% (from 0.0168% to 0.0094% per pregnant woman) and 62% (from 0.0168% to 0.0064% per pregnant woman), respectively. None of the strategies clearly dominated: current clinical practice is the least costly, whereas implementing NIPT will cause total costs of the programme to increase by 21% (from €257.09 to €311.74 per pregnant woman), leading to an ICER of k€94 per detected case of T21, when utilised as an optional secondary screening test and by 157% (from €257.09 to €660.94 per pregnant woman), leading to an ICER of k€460 per detected case of T21, when utilised as primary screening test. However, implementing NIPT as triage test did result in the lowest expected relative costs per case of T21 diagnosed (k€141)., Conclusion: NIPT should be implemented in national health care as an optional secondary screening test for those pregnancies complicated by a high risk for T21., (Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.)
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- 2014
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25. The 2013 Malcolm Ferguson-Smith Young Investigator Award.
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Bianchi DW, Chitty LS, Deprest J, Faas BH, Ghidini A, and Cousens RK
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- Awards and Prizes, Obstetrics, Prenatal Diagnosis
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- 2014
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26. Comment on 'confined placental mosaicism: implications for fetal chromosomal analysis using microarray comparative genomic hybridization'.
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Kooper AJ and Faas BH
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- Female, Humans, Male, Pregnancy, Comparative Genomic Hybridization methods, Microarray Analysis methods, Mosaicism, Placenta chemistry, Prenatal Diagnosis methods
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- 2014
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27. Detecting fetal subchromosomal aberrations by MPS: an unexpected discrepancy between amniocyte DNA and ccffDNA.
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Buysse K, de Ligt J, Janssen IM, van Bon BW, Gomes I, Hehir-Kwa J, Eggink AJ, van Vugt JM, Vissers LE, Geurts van Kessel A, and Faas BH
- Subjects
- Adult, DNA blood, Female, Gene Deletion, Humans, Nuclear Proteins genetics, Pregnancy, Transcription Factors genetics, Amniocentesis methods, Chromosomes, Human, Pair 13 genetics, DNA analysis, Fetus chemistry, High-Throughput Nucleotide Sequencing methods, Holoprosencephaly genetics
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- 2014
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28. Best diagnostic approach for the genetic evaluation of fetuses after intrauterine death in first, second or third trimester: QF-PCR, karyotyping and/or genome wide SNP array analysis.
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Kooper AJ, Faas BH, Feenstra I, de Leeuw N, and Smeets DF
- Abstract
Background: The aim of this study was to evaluate the best diagnostic approach for the genetic analysis of samples from first, second and third trimester intrauterine fetal deaths (IUFDs). We examined a total of 417 IUFD samples from fetuses with and without congenital anomalies. On 414 samples, karyotyping (N = 46) and/or rapid aneuploidy testing by QF-PCR (N = 371) was performed). One hundred sixty eight samples with a normal test result were subsequently tested by genome wide Single Nucleotide Polymorphism (SNP) array analysis. Three samples were only analyzed by array., Results: In 50 (12.0%) samples an aneuploidy was detected by QF-PCR and/or karyotyping, representing 47.1% of first, 13.2% of second and 3.4% of third trimester pregnancies. Karyotyping and QF-PCR failed in 4 (8.7%) and 7 (1.9%) samples, respectively, concerning mostly contaminated amniotic fluid samples from third trimester pregnancies.Clinically relevant aberrations were identified in 4.2% (all fetuses with malformations) of the 168 samples tested by SNP array. Inherited copy number variants (CNVs) were detected in 5.4% and 8.9% showed CNVs of unknown clinical relevance as parental inheritance could not be studied yet. In a sample from a fetus suspect for Meckel-Grüber syndrome, the genotype information from the SNP array revealed various stretches of homozygosity, including one stretch encompassing the CEP290 gene. Subsequent CEP290 mutation analysis revealed a homozygous, pathogenic mutation in this gene., Conclusions: Based on our experience we recommend QF-PCR as the first-line test in IUFD samples of first and second trimester pregnancies to exclude aneuploidy before performing array analysis. The chance to detect aneuploidy in third trimester pregnancies is relatively low and therefore array analysis can be performed as a first-tier test. A tissue sample, instead of amniotic fluid, is preferred because of a higher success rate in testing.We emphasize the need for analysis of parental samples whenever a rare, unique CNV is detected to allow for better interpretation of such findings and to improve future pregnancy management. Furthermore, we illustrate the strength of SNP arrays for genotype analysis, even though we realize it is crucial to have detailed phenotypic information to make optimal use of the genotype data in finding candidate recessive genes that may be related to the fetal phenotype.
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- 2014
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29. In case you missed it: the Prenatal Diagnosis section editors bring you the most significant advances of 2013.
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Bianchi DW, Van Mieghem T, Shaffer LG, Faas BH, Chitty LS, Ghidini A, and Deprest J
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- Down Syndrome therapy, Exome genetics, Female, Humans, Intellectual Property, Patents as Topic legislation & jurisprudence, Pregnancy, Prenatal Diagnosis methods, RNA, Long Noncoding therapeutic use, Sequence Analysis, DNA, Periodicals as Topic, Prenatal Diagnosis trends
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- 2014
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30. Reliable noninvasive prenatal testing by massively parallel sequencing of circulating cell-free DNA from maternal plasma processed up to 24h after venipuncture.
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Buysse K, Beulen L, Gomes I, Gilissen C, Keesmaat C, Janssen IM, Derks-Willemen JJ, de Ligt J, Feenstra I, Bekker MN, van Vugt JM, Geurts van Kessel A, Vissers LE, and Faas BH
- Subjects
- Aneuploidy, Down Syndrome diagnosis, Down Syndrome genetics, Female, Gestational Age, High-Throughput Nucleotide Sequencing, Humans, Male, Phlebotomy, Pregnancy, Reproducibility of Results, Time Factors, DNA blood, Genetic Testing methods, Prenatal Diagnosis methods
- Abstract
Objectives: Circulating cell-free fetal DNA (ccffDNA) in maternal plasma is an attractive source for noninvasive prenatal testing (NIPT). The amount of total cell-free DNA significantly increases 24h after venipuncture, leading to a relative decrease of the ccffDNA fraction in the blood sample. In this study, we evaluated the downstream effects of extended processing times on the reliability of aneuploidy detection by massively parallel sequencing (MPS)., Design and Methods: Whole blood from pregnant women carrying normal and trisomy 21 (T21) fetuses was collected in regular EDTA anti-coagulated tubes and processed within 6h, 24 and 48h after venipuncture. Samples of all three different time points were further analyzed by MPS using Z-score calculation and the percentage of ccffDNA based on X-chromosome reads., Results: Both T21 samples were correctly identified as such at all time-points. However, after 48h, a higher deviation in Z-scores was noticed. Even though the percentage of ccffDNA in a plasma sample has been shown previously to significantly decrease 24h after venipuncture, the percentages based on MPS results did not show a significant decrease after 6, 24 or 48h., Conclusions: The quality and quantity of ccffDNA extracted from plasma samples processed up to 24h after venipuncture are sufficiently high for reliable downstream NIPT analysis by MPS. Furthermore, we show that it is important to determine the percentage of ccffDNA in the fraction of the sample that is actually used for NIPT, as downstream procedures might influence the fetal or maternal fraction., (© 2013.)
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- 2013
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31. Prenatal diagnostic testing of the Noonan syndrome genes in fetuses with abnormal ultrasound findings.
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Croonen EA, Nillesen WM, Stuurman KE, Oudesluijs G, van de Laar IM, Martens L, Ockeloen C, Mathijssen IB, Schepens M, Ruiterkamp-Versteeg M, Scheffer H, Faas BH, van der Burgt I, and Yntema HG
- Subjects
- Abortion, Eugenic, DNA Mutational Analysis, Female, Humans, Karyotype, Molecular Diagnostic Techniques, Noonan Syndrome diagnostic imaging, Nuchal Translucency Measurement, Pregnancy, Protein Tyrosine Phosphatase, Non-Receptor Type 11 genetics, Proto-Oncogene Proteins genetics, Proto-Oncogene Proteins c-raf genetics, Proto-Oncogene Proteins p21(ras), ras Proteins genetics, Noonan Syndrome genetics
- Abstract
In recent studies on prenatal testing for Noonan syndrome (NS) in fetuses with an increased nuchal translucency (NT) and a normal karyotype, mutations have been reported in 9-16% of cases. In this study, DNA of 75 fetuses with a normal karyotype and abnormal ultrasound findings was tested in a diagnostic setting for mutations in (a subset of) the four most commonly mutated NS genes. A de novo mutation in either PTPN11, KRAS or RAF1 was detected in 13 fetuses (17.3%). Ultrasound findings were increased NT, distended jugular lymphatic sacs (JLS), hydrothorax, renal anomalies, polyhydramnios, cystic hygroma, cardiac anomalies, hydrops fetalis and ascites. A second group, consisting of anonymized DNA of 60 other fetuses with sonographic abnormalities, was tested for mutations in 10 NS genes. In this group, five possible pathogenic mutations have been identified (in PTPN11 (n=2), RAF1, BRAF and MAP2K1 (each n=1)). We recommend prenatal testing of PTPN11, KRAS and RAF1 in pregnancies with an increased NT and at least one of the following additional features: polyhydramnios, hydrops fetalis, renal anomalies, distended JLS, hydrothorax, cardiac anomalies, cystic hygroma and ascites. If possible, mutation analysis of BRAF and MAP2K1 should be considered.
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- 2013
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32. Benefits and limitations of whole genome versus targeted approaches for noninvasive prenatal testing for fetal aneuploidies.
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Boon EM and Faas BH
- Subjects
- Cost-Benefit Analysis, Down Syndrome diagnosis, Down Syndrome genetics, Female, Fetus metabolism, Genome, Human, High-Throughput Nucleotide Sequencing economics, Humans, Pregnancy, Prenatal Diagnosis economics, Risk Assessment, Sequence Analysis, DNA economics, Aneuploidy, High-Throughput Nucleotide Sequencing methods, Prenatal Diagnosis methods, Sequence Analysis, DNA methods
- Abstract
The goal to noninvasively detect fetal aneuploidies using circulating cell-free fetal DNA in the maternal plasma seems to be achieved by the use of massively parallel sequencing (MPS). To date, different MPS approaches exist, all aiming to deliver reliable results in a cost effective manner. The most widely used approach is the whole genome MPS method, in which sequencing is performed on maternal plasma to determine the presence of a fetal trisomy. To reduce costs targeted approaches, only analyzing loci from the chromosome(s) of interest has been developed. This review summarizes the different MPS approaches, their benefits and limitations and discusses the implications for future noninvasive prenatal testing., (© 2013 John Wiley & Sons, Ltd.)
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- 2013
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33. Summary of the ISPD Preconference Day, June 3, 2012, Miami Beach.
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Faas BH, Odibo AO, Cirigliano V, Schielen P, Pergament D, Devers P, Oepkes D, and Benn P
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- Congresses as Topic, Diseases in Twins, Education, Continuing, Female, Fetal Diseases, Genetic Testing legislation & jurisprudence, Humans, Microarray Analysis, Pregnancy, Societies, Medical, Ultrasonography, Prenatal, Prenatal Diagnosis methods
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- 2013
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34. Severe Dejerine-Sottas disease with respiratory failure and dysmorphic features in association with a PMP22 point mutation and a 3q23 microdeletion.
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Voermans NC, Kleefstra T, Gabreëls-Festen AA, Faas BH, Kamsteeg EJ, Houlden H, Laurá M, Polke JM, Pandraud A, van Ruissen F, van Engelen BG, and Reilly MM
- Subjects
- Abnormalities, Multiple genetics, Female, Gene Deletion, Humans, Young Adult, Chromosomes, Human, Pair 3 genetics, Hereditary Sensory and Motor Neuropathy genetics, Hereditary Sensory and Motor Neuropathy pathology, Myelin Proteins genetics, Point Mutation, Respiratory Insufficiency genetics
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- 2012
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35. Non-invasive prenatal diagnosis of fetal aneuploidies using massively parallel sequencing-by-ligation and evidence that cell-free fetal DNA in the maternal plasma originates from cytotrophoblastic cells.
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Faas BH, de Ligt J, Janssen I, Eggink AJ, Wijnberger LD, van Vugt JM, Vissers L, and Geurts van Kessel A
- Subjects
- Female, Humans, Male, Pregnancy, Aneuploidy, DNA blood, Fetal Diseases diagnosis, Prenatal Diagnosis, Trophoblasts metabolism
- Abstract
Blood plasma of pregnant women contains circulating cell-free fetal DNA (ccffDNA), originating from the placenta. The use of this DNA for non-invasive detection of fetal aneuploidies using massively parallel sequencing (MPS)-by-synthesis has been proven previously. Sequence performance may, however, depend on the MPS platform and therefore we have explored the possibility for multiplex MPS-by-ligation, using the Applied Biosystems SOLiD(™) 4 system. DNA isolated from plasma samples from 52 pregnant women, carrying normal or aneuploid fetuses, was sequenced in multiplex runs of 4, 8 or 16 samples simultaneously. The sequence reads were mapped to the human reference genome and quantified according to their genomic location. In case of a fetal aneuploidy, the number of reads of the aberrant chromosome is expected to be higher or lower than in normal reference samples. To statistically determine this, Z-scores per chromosome were calculated as described previously, with thresholds for aneuploidies set at > +3.0 and < -3.0 for chromosomal over- or underrepresentation, respectively. All samples from fetal aneuploidies yielded Z-scores outside the thresholds for the aberrant chromosomes, with no false negative or positive results. Full-blown fetal aneuploidies can thus be reliably detected in maternal plasma using a multiplex MPS-by-ligation approach. Furthermore, the results obtained with a sample from a pregnancy with 45,X in the cytotrophoblastic cell layer and 46,XX in the mesenchymal core cells show that ccffDNA originates from the cytotrophoblastic cell layer. Discrepancies between the genetic constitution of this cell layer and the fetus itself are well known, and therefore, care should be taken when translating results to the fetus itself.
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- 2012
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36. Non-targeted whole genome 250K SNP array analysis as replacement for karyotyping in fetuses with structural ultrasound anomalies: evaluation of a one-year experience.
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Faas BH, Feenstra I, Eggink AJ, Kooper AJ, Pfundt R, van Vugt JM, and de Leeuw N
- Subjects
- Adult, Congenital Abnormalities diagnostic imaging, Female, Genome-Wide Association Study, Humans, Karyotyping statistics & numerical data, Molecular Diagnostic Techniques methods, Molecular Diagnostic Techniques statistics & numerical data, Oligonucleotide Array Sequence Analysis methods, Oligonucleotide Array Sequence Analysis statistics & numerical data, Polymerase Chain Reaction statistics & numerical data, Pregnancy, Chromosome Disorders genetics, Congenital Abnormalities genetics, Karyotyping methods, Polymerase Chain Reaction methods, Polymorphism, Single Nucleotide, Ultrasonography, Prenatal methods
- Abstract
Objective: We evaluated both clinical and laboratory aspects of our new strategy offering quantitative fluorescence (QF)-PCR followed by non-targeted whole genome 250K single-nucleotide polymorphism array analysis instead of routine karyotyping for prenatal diagnosis of fetuses with structural anomalies., Methods: Upon the detection of structural fetal anomalies, parents were offered a choice between QF-PCR and 250K single-nucleotide polymorphism array analysis (QF/array) or QF-PCR and routine karyotyping (QF/karyo)., Results: Two hundred twenty fetal samples were included. In 153/220 cases (70%), QF/array analysis was requested. In 35/153 (23%), an abnormal QF-PCR result was found. The remaining samples were analyzed by array, which revealed clinically relevant aberrations, including two known microdeletions, in 5/118 cases. Inherited copy number variants were detected in 11/118 fetuses, copy number variants with uncertain clinical relevance in 3/118 and homozygous stretches in 2/118. In 67/220 (30%) fetuses, QF/karyo was requested: 23/67 (34%) were abnormal with QF-PCR, and in 3/67, an abnormal karyotype was found., Conclusion: Even though QF/array does not reveal a high percentage of submicroscopic aberrations in fetuses with unselected structural anomalies, it is preferred over QF/karyo, as it provides a whole genome scan at high resolution, without additional tests needed and with a low chance on findings not related to the ultrasound anomalies., (© 2012 John Wiley & Sons, Ltd.)
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- 2012
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37. Is routine karyotyping required in prenatal samples with a molecular or metabolic referral?
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Kooper AJ, Pieters JJ, Faas BH, Hoefsloot LH, van der Burgt I, Zondervan HA, and Smits AP
- Abstract
As a routine, karyotyping of invasive prenatal samples is performed as an adjunct to referrals for DNA mutation detection and metabolic testing. We performed a retrospective study on 500 samples to assess the diagnostic value of this procedure. These samples included 454 (90.8%) chorionic villus (CV) and 46 (9.2%) amniocenteses specimens. For CV samples karyotyping was based on analyses of both short-term culture (STC) and long-term culture (LTC) cells. Overall, 19 (3.8%) abnormal karyotypes were denoted: four with a common aneuploidy (trisomy 21, 18 and 13), two with a sex chromosomal aneuploidy (Klinefelter syndrome), one with a sex chromosome mosaicism and twelve with various autosome mosaicisms. In four cases a second invasive test was performed because of an abnormal finding in the STC. Taken together, we conclude that STC and LTC karyotyping has resulted in a diagnostic yield of 19 (3.8%) abnormal cases, including 12 cases (2.4%) with an uncertain significance. From a diagnostic point of view, it is desirable to limit uncertain test results as secondary test findings. Therefore, we recommend a more targeted assay, such as e.g. QF-PCR, as a replacement of the STC and to provide parents the autonomy to choose between karyotyping and QF-PCR.
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- 2012
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38. Mirror extreme BMI phenotypes associated with gene dosage at the chromosome 16p11.2 locus.
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Jacquemont S, Reymond A, Zufferey F, Harewood L, Walters RG, Kutalik Z, Martinet D, Shen Y, Valsesia A, Beckmann ND, Thorleifsson G, Belfiore M, Bouquillon S, Campion D, de Leeuw N, de Vries BB, Esko T, Fernandez BA, Fernández-Aranda F, Fernández-Real JM, Gratacòs M, Guilmatre A, Hoyer J, Jarvelin MR, Kooy RF, Kurg A, Le Caignec C, Männik K, Platt OS, Sanlaville D, Van Haelst MM, Villatoro Gomez S, Walha F, Wu BL, Yu Y, Aboura A, Addor MC, Alembik Y, Antonarakis SE, Arveiler B, Barth M, Bednarek N, Béna F, Bergmann S, Beri M, Bernardini L, Blaumeiser B, Bonneau D, Bottani A, Boute O, Brunner HG, Cailley D, Callier P, Chiesa J, Chrast J, Coin L, Coutton C, Cuisset JM, Cuvellier JC, David A, de Freminville B, Delobel B, Delrue MA, Demeer B, Descamps D, Didelot G, Dieterich K, Disciglio V, Doco-Fenzy M, Drunat S, Duban-Bedu B, Dubourg C, El-Sayed Moustafa JS, Elliott P, Faas BH, Faivre L, Faudet A, Fellmann F, Ferrarini A, Fisher R, Flori E, Forer L, Gaillard D, Gerard M, Gieger C, Gimelli S, Gimelli G, Grabe HJ, Guichet A, Guillin O, Hartikainen AL, Heron D, Hippolyte L, Holder M, Homuth G, Isidor B, Jaillard S, Jaros Z, Jiménez-Murcia S, Helas GJ, Jonveaux P, Kaksonen S, Keren B, Kloss-Brandstätter A, Knoers NV, Koolen DA, Kroisel PM, Kronenberg F, Labalme A, Landais E, Lapi E, Layet V, Legallic S, Leheup B, Leube B, Lewis S, Lucas J, MacDermot KD, Magnusson P, Marshall C, Mathieu-Dramard M, McCarthy MI, Meitinger T, Mencarelli MA, Merla G, Moerman A, Mooser V, Morice-Picard F, Mucciolo M, Nauck M, Ndiaye NC, Nordgren A, Pasquier L, Petit F, Pfundt R, Plessis G, Rajcan-Separovic E, Ramelli GP, Rauch A, Ravazzolo R, Reis A, Renieri A, Richart C, Ried JS, Rieubland C, Roberts W, Roetzer KM, Rooryck C, Rossi M, Saemundsen E, Satre V, Schurmann C, Sigurdsson E, Stavropoulos DJ, Stefansson H, Tengström C, Thorsteinsdóttir U, Tinahones FJ, Touraine R, Vallée L, van Binsbergen E, Van der Aa N, Vincent-Delorme C, Visvikis-Siest S, Vollenweider P, Völzke H, Vulto-van Silfhout AT, Waeber G, Wallgren-Pettersson C, Witwicki RM, Zwolinksi S, Andrieux J, Estivill X, Gusella JF, Gustafsson O, Metspalu A, Scherer SW, Stefansson K, Blakemore AI, Beckmann JS, and Froguel P
- Subjects
- Adolescent, Adult, Aged, Aging, Body Height genetics, Case-Control Studies, Child, Child, Preschool, Cohort Studies, Comparative Genomic Hybridization, Developmental Disabilities genetics, Energy Metabolism genetics, Europe, Female, Gene Duplication genetics, Gene Expression Profiling, Genetic Predisposition to Disease genetics, Genome-Wide Association Study, Head anatomy & histology, Heterozygote, Humans, Infant, Infant, Newborn, Male, Mental Disorders genetics, Middle Aged, Mutation genetics, North America, RNA, Messenger analysis, RNA, Messenger genetics, Sequence Deletion genetics, Transcription, Genetic, Young Adult, Body Mass Index, Chromosomes, Human, Pair 16 genetics, Gene Dosage genetics, Obesity genetics, Phenotype, Thinness genetics
- Abstract
Both obesity and being underweight have been associated with increased mortality. Underweight, defined as a body mass index (BMI) ≤ 18.5 kg per m(2) in adults and ≤ -2 standard deviations from the mean in children, is the main sign of a series of heterogeneous clinical conditions including failure to thrive, feeding and eating disorder and/or anorexia nervosa. In contrast to obesity, few genetic variants underlying these clinical conditions have been reported. We previously showed that hemizygosity of a ∼600-kilobase (kb) region on the short arm of chromosome 16 causes a highly penetrant form of obesity that is often associated with hyperphagia and intellectual disabilities. Here we show that the corresponding reciprocal duplication is associated with being underweight. We identified 138 duplication carriers (including 132 novel cases and 108 unrelated carriers) from individuals clinically referred for developmental or intellectual disabilities (DD/ID) or psychiatric disorders, or recruited from population-based cohorts. These carriers show significantly reduced postnatal weight and BMI. Half of the boys younger than five years are underweight with a probable diagnosis of failure to thrive, whereas adult duplication carriers have an 8.3-fold increased risk of being clinically underweight. We observe a trend towards increased severity in males, as well as a depletion of male carriers among non-medically ascertained cases. These features are associated with an unusually high frequency of selective and restrictive eating behaviours and a significant reduction in head circumference. Each of the observed phenotypes is the converse of one reported in carriers of deletions at this locus. The phenotypes correlate with changes in transcript levels for genes mapping within the duplication but not in flanking regions. The reciprocal impact of these 16p11.2 copy-number variants indicates that severe obesity and being underweight could have mirror aetiologies, possibly through contrasting effects on energy balance.
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- 2011
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39. Rapid methods for targeted prenatal diagnosis of common chromosome aneuploidies.
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Faas BH, Cirigliano V, and Bui TH
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- Female, Humans, In Situ Hybridization, Fluorescence methods, Polymerase Chain Reaction methods, Pregnancy, Aneuploidy, Prenatal Diagnosis methods
- Abstract
Improvements in non-invasive screening methods for trisomy 21 (Down syndrome) and other aneuploidies during the first and second trimester of pregnancy have radically changed the indications for prenatal diagnosis over the last decade. Consequently, there was a need for rapid tests for the detection of common chromosome aneuploidies resulting in the development of molecular methods for the rapid, targeted detection of (an)euploidies of the chromosomes 13, 18, 21 and the sex chromosomes. The analysis of large series of prenatal samples has shown that such tests can detect the great majority of chromosome abnormalities in prenatal diagnosis. This resulted in lively discussions on whether conventional karyotyping should remain the standard method for the majority of prenatal cases or can be replaced by rapid tests only. This review gives an overview of different aspects of the three most common tests for rapid, targeted prenatal detection of (an)euploidies, i.e. interphase fluorescence in-situ hybridisation (iFISH), quantitative fluorescent polymerase chain reaction (QF-PCR) and multiplex ligation-dependent probe amplification (MLPA)., (Copyright © 2011 Elsevier Ltd. All rights reserved.)
- Published
- 2011
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40. 2010 Report from the ISPD Special Interest Groups.
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Odibo AO, Faas BH, Oepkes D, Leung TY, and Shulman L
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- Clinical Laboratory Techniques trends, Expert Testimony, Female, Humans, International Cooperation, Mothers, Pregnancy, Prenatal Diagnosis methods, Public Opinion, Societies, Medical organization & administration, Ultrasonography, Prenatal methods, Ultrasonography, Prenatal trends, Congresses as Topic, Prenatal Diagnosis trends
- Published
- 2011
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41. SNP array analysis in constitutional and cancer genome diagnostics--copy number variants, genotyping and quality control.
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de Leeuw N, Hehir-Kwa JY, Simons A, Geurts van Kessel A, Smeets DF, Faas BH, and Pfundt R
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- Comparative Genomic Hybridization standards, Congenital Abnormalities diagnosis, Congenital Abnormalities genetics, Data Interpretation, Statistical, Female, Genotype, Homozygote, Humans, Intellectual Disability diagnosis, Intellectual Disability genetics, Male, Oligonucleotide Array Sequence Analysis standards, Precursor Cell Lymphoblastic Leukemia-Lymphoma diagnosis, Pregnancy, Prenatal Diagnosis methods, Reference Values, Comparative Genomic Hybridization methods, DNA Copy Number Variations, Oligonucleotide Array Sequence Analysis methods, Polymorphism, Single Nucleotide, Precursor Cell Lymphoblastic Leukemia-Lymphoma genetics
- Abstract
Array-based comparative genomic hybridization analysis of genomic DNA was first applied in postnatal diagnosis for patients with intellectual disability (ID) and/or congenital anomalies (CA). Genome-wide single-nucleotide polymorphism (SNP) array analysis was subsequently implemented as the first line diagnostic test for ID/CA patients in our laboratory in 2009, because its diagnostic yield is significantly higher than that of routine cytogenetic analysis. In addition to the detection of copy number variations, the genotype information obtained with SNP array analysis enables the detection of stretches of homozygosity and thereby the possible identification of recessive disease genes, mosaic aneuploidy, or uniparental disomy. Patient-parent (trio) information analysis is used to screen for the presence of any form of uniparental disomy in the patient and can determine the parental origin of a de novo copy number variation. Moreover, the outcome of a genotype analysis is used as a final quality control by ruling out potential sample mismatches due to non-paternity or sample mix-up. SNP array analysis is now also used in our laboratory for patients with disorders for which locus heterogeneity is known (homozygosity pre-screening), in prenatal diagnosis in case of structural ultrasound anomalies, and for patients with leukemia. In this report, we summarize our array findings and experiences in the various diagnostic applications and demonstrate the power of a SNP-based array platform for molecular karyotyping, because it not only significantly improves the diagnostic yield in both constitutional and cancer genome diagnostics, but it also enhances the quality of the diagnostic laboratory workflow., (Copyright © 2011 S. Karger AG, Basel.)
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- 2011
- Full Text
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42. Identification of clinically significant, submicroscopic chromosome alterations and UPD in fetuses with ultrasound anomalies using genome-wide 250k SNP array analysis.
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Faas BH, van der Burgt I, Kooper AJ, Pfundt R, Hehir-Kwa JY, Smits AP, and de Leeuw N
- Subjects
- Base Pairing genetics, Chromosomes, Human genetics, DNA Copy Number Variations genetics, Female, Homozygote, Humans, Infant, Newborn, Pregnancy, Uniparental Disomy diagnosis, Chromosome Aberrations, Fetus pathology, Genome, Human genetics, Oligonucleotide Array Sequence Analysis, Polymorphism, Single Nucleotide genetics, Ultrasonography, Prenatal, Uniparental Disomy genetics
- Abstract
Background: The implementation of microarray analysis in prenatal diagnostics is a topic of discussion, as rare copy number variants with unknown/uncertain clinical consequences are likely to be found. The application of targeted microarrays limits such findings, but the potential disadvantage is that relevant, so far unknown, aberrations might be overlooked. Therefore, we explore the possibilities for the prenatal application of the genome-wide 250k single nucleotide polymorphism array platform., Methods: Affymetrix 250k NspI single nucleotide polymorphism array analysis (Affymetrix, Inc., Santa Clara, California, USA) was performed on DNA from 38 prenatally karyotyped fetuses with ultrasound anomalies. Analyses were performed after termination of pregnancy, intrauterine fetal death or birth on DNA isolated from fetal or neonatal material., Results: Aberrations were detected in 17 of 38 fetuses, 6 of whom with a previously identified chromosomal abnormality and 11 with previously normal or balanced karyotypes. Of the latter, the detected aberration occurred de novo and was considered of clinical relevance in five cases (16%), inherited from a healthy parent in four cases (12%), and de novo yet with unclear clinical relevance in two cases (6%). The clinically relevant abnormalities either were novel copy number variants (n=3) or concerned a uniparental disomy (n=2)., Conclusion: In at least 16% of fetuses with ultrasound anomalies and a normal or balanced karyotype, causal (submicroscopic) aberrations were detected, illustrating the importance of the (careful) implementation of microarray analysis in prenatal diagnosis. The fact that the identified, clinically relevant, aberrations would have gone undetected with most targeted approaches underscores the added value of a genome-wide approach.
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- 2010
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43. Multiplex ligation-dependent probe amplification (MLPA) as a stand-alone test for rapid aneuploidy detection in amniotic fluid cells.
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Kooper AJ, Faas BH, Kater-Baats E, Feuth T, Janssen JC, van der Burgt I, Lotgering FK, van Kessel AG, and Smits AP
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- Chromosome Aberrations statistics & numerical data, Female, Humans, Karyotyping, Male, Maternal Age, Polyploidy, Pregnancy, Risk Factors, Amniotic Fluid cytology, Aneuploidy, Chromosome Aberrations embryology, Gene Amplification
- Abstract
Objective: This study aimed to determine the diagnostic application of multiplex ligation-dependent probe amplification (MLPA) as a stand-alone test for targeted detection of common chromosomal aneuploidies (i.e. 13, 18, 21, X and Y) in amniotic fluid cells in routine prenatal clinical practice., Methods: In this evaluation study, the MLPA test using kit P095 was performed on 1000 consecutive amniotic fluid samples and the results obtained were compared with traditional karyotyping (TK), the gold standard., Results: The absolute specificity and sensitivity of the MLPA test were 100%. The test yielded a rapid reporting time: 94% within three working days and 5% within seven working days. The test failure rate was 0.8%. The percentage of abnormalities undetectable using this specific test was 2.4%: abnormal foetal ultrasound (N=9), increased risk first trimester screening (N=2), advanced maternal age (N=3) or other reason for referral (N=10). These abnormalities can be categorised in clinically significant (N=8), clinically uncertain (N=4) and clinically nonsignificant (N=12)., Conclusions: MLPA P095 is suitable as a stand-alone test for the rapid and efficient detection of the most common chromosomal aneuploidies in routine prenatal clinical practice. A flow chart for integrating the MLPA test into the cytogenetic laboratory workflow is presented.
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- 2008
- Full Text
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44. Detection of cryptic subtelomeric imbalances in fetuses with ultrasound abnormalities.
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Faas BH, Nillesen W, Vermeer S, Weghuis DO, de Leeuw N, Smits AP, and van Ravenswaaij-Arts CM
- Subjects
- Chromosomes, Human, X, Female, Humans, In Situ Hybridization, Fluorescence, Infant, Newborn, Karyotyping, Chromosome Aberrations, Telomere, Ultrasonography, Prenatal
- Abstract
It is known from postnatal diagnosis that imbalances of the subtelomeric regions contribute significantly to idiopathic mental retardation. Consequently, subtelomere screening has been incorporated into the recommendations for the evaluation of individuals with unexplained mental retardation and a normal karyotype. Previous studies suggested that for fetuses with ultrasound abnormalities and a normal karyotype, additional screening for submicroscopic imbalances can be relevant for diagnosis and prognosis. In the present paper, we report the detection of such (subtelomeric) imbalances in three fetuses. Prenatally, the three fetuses presented with ultrasound abnormalities highly suspected of a chromosomal aberration. In two of the fetuses, routine karyotyping showed no aberrations but with MLPA or FISH a small subtelomeric imbalance, that could explain the anomalies, was detected. In the third fetus, a chromosomal abnormality was detected with routine cytogenetic analysis (del(X)(p22.1)), but this abnormality could not explain the ultrasound observations and only with subtelomere screening by MLPA a causative chromosomal aberration was detected. As the three fetuses were already prenatally suspected of a chromosomal aberration, this underlines the potential relevance of subtelomere screening in such fetuses, leading to better clinical diagnosis, prognosis and care. Furthermore, when using MLPA, the analysis can be extended to other regions of known clinical importance.
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- 2008
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45. Clinical and cytogenetic characterization of 13 Dutch patients with deletion 9p syndrome: Delineation of the critical region for a consensus phenotype.
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Swinkels ME, Simons A, Smeets DF, Vissers LE, Veltman JA, Pfundt R, de Vries BB, Faas BH, Schrander-Stumpel CT, McCann E, Sweeney E, May P, Draaisma JM, Knoers NV, van Kessel AG, and van Ravenswaaij-Arts CM
- Subjects
- Adult, Child, Child, Preschool, Cytokines genetics, DNA Mutational Analysis, Female, Humans, In Situ Hybridization, Fluorescence, Infant, Newborn, Male, Netherlands, Phenotype, Syndrome, Chromosome Deletion, Chromosomes, Human, Pair 9 genetics, Craniofacial Abnormalities genetics, Intellectual Disability genetics, Muscle Hypotonia genetics
- Abstract
The deletion 9p syndrome is caused by a constitutional monosomy of part of the short arm of chromosome 9. It is clinically characterized by dysmorphic facial features (trigonocephaly, midface hypoplasia, and long philtrum), hypotonia and mental retardation. Deletion 9p is known to be heterogeneous and exhibits variable deletion sizes. The critical region for a consensus phenotype has been reported to be located within a approximately 4-6 Mb interval on 9p22. In the present study, deletion breakpoints were determined in 13 Dutch patients by applying fluorescence in situ hybridization (FISH) and in some specific cases by array-based comparative genomic hybridization (array CGH). No clear genotype-phenotype correlation could be established for various developmental features. However, we were able to narrow down the critical region for deletion 9p syndrome to approximately 300 kb. A functional candidate gene for trigonocephaly, the CER1 gene, appeared to be located just outside this region. Sequence analysis of this gene in nine additional patients with isolated trigonocephaly did not reveal any pathogenic mutations.
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- 2008
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46. CNTNAP2 gene dosage variation is associated with schizophrenia and epilepsy.
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Friedman JI, Vrijenhoek T, Markx S, Janssen IM, van der Vliet WA, Faas BH, Knoers NV, Cahn W, Kahn RS, Edelmann L, Davis KL, Silverman JM, Brunner HG, van Kessel AG, Wijmenga C, Ophoff RA, and Veltman JA
- Subjects
- Adult, Chromosomes, Human, Pair 7, Female, Humans, In Situ Hybridization, Fluorescence methods, Male, Middle Aged, Sequence Analysis, Epilepsy genetics, Gene Dosage genetics, Genetic Predisposition to Disease, Membrane Proteins genetics, Nerve Tissue Proteins genetics, Polymorphism, Single Nucleotide, Schizophrenia genetics
- Abstract
A homozygous mutation of the CNTNAP2 gene has been associated with a syndrome of focal epilepsy, mental retardation, language regression and other neuropsychiatric problems in children of the Old Order Amish community. Here we report genomic rearrangements resulting in haploinsufficiency of the CNTNAP2 gene in association with epilepsy and schizophrenia. Genomic deletions of varying sizes affecting the CNTNAP2 gene were identified in three non-related Caucasian patients. In contrast, we did not observe any dosage variation for this gene in 512 healthy controls. Moreover, this genomic region has not been identified as showing large-scale copy number variation. Our data thus confirm an association of CNTNAP2 to epilepsy outside the Old Order Amish population and suggest that dosage alteration of this gene may lead to a complex phenotype of schizophrenia, epilepsy and cognitive impairment.
- Published
- 2008
- Full Text
- View/download PDF
47. Further refinement of the candidate region for monosomy 9p syndrome.
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Faas BH, de Leeuw N, Mieloo H, Bruinenberg J, and de Vries BB
- Subjects
- Chromosome Banding, Female, Humans, Infant, Newborn, Nucleic Acid Hybridization, Chromosomes, Human, Pair 9, Monosomy
- Published
- 2007
- Full Text
- View/download PDF
48. Fetal anomaly scan potentially will replace routine AFAFP assays for the detection of neural tube defects.
- Author
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Kooper AJ, de Bruijn D, van Ravenwaaij-Arts CM, Faas BH, Creemers JW, Thomas CM, and Smits AP
- Subjects
- Amniocentesis methods, Congenital Abnormalities diagnosis, Female, Humans, Neural Tube Defects diagnostic imaging, Pregnancy, Amniotic Fluid chemistry, Neural Tube Defects diagnosis, Prenatal Diagnosis methods, Ultrasonography, Prenatal, alpha-Fetoproteins analysis
- Abstract
Objectives: Introduction of the second-trimester fetal anomaly scan and the decision to offer this scan to every woman in the 18th-22nd week of pregnancy necessitates a re-evaluation of the diagnostic value of the measurement of alpha-fetoprotein (AFP) concentrations in the amniotic fluid (AF) for the detection of neural tube defects (NTDs)., Methods: In this study of 6501 women who underwent amniocentesis, amniotic fluid AFP (AFAFP) concentrations were measured. The women were divided into three categories: group I, without any increased risk of fetal NTD (N = 6188); group II, with an increased risk of fetal NTD (N = 258); and group III, with a clinically diagnosed fetal NTD with known AFAFP concentrations (N = 55)., Results: In 27 women of group I (0.4%), the MoM (multiple of the median) level was > 2.5 times the median AFP concentration for the corresponding gestational age, and in two fetuses this was related to NTD. In two pregnancies of group II (0.8%), an increased AFAFP was related to NTD. In group III, 44 of the 55 (80%) samples had an increased AFAFP., Conclusion: In the near future, it is likely that imaging will replace AFAFP assays for the detection of fetal NTDs because high quality ultrasound imaging will detect NTDs accurately., (Copyright 2007 John Wiley & Sons, Ltd.)
- Published
- 2007
- Full Text
- View/download PDF
49. Multiple congenital abnormalities in a newborn with two supernumerary marker chromosomes derived from chromosome 14.
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Faas BH, Van Der Deure J, Wunderink MI, Merkx G, and Brunner HG
- Subjects
- Anticonvulsants therapeutic use, Epilepsy diagnosis, Epilepsy drug therapy, Epilepsy genetics, Fatal Outcome, Female, Genetic Markers, Humans, In Situ Hybridization, Fluorescence, Infant, Abnormalities, Multiple genetics, Chromosomes, Human, Pair 14 genetics, Gene Duplication
- Abstract
Pure partial duplication or triplication of the proximal part of chromosome 14 has been reported in only 4 patients. Other individuals with a duplication or triplication of this region have additional chromosome imbalances. We present a new case with a supernumerary marker chromosome in all blood cells and in 35% of the cells an additional smaller marker chromosome. Both markers appeared to be derived from chromosome 14 (del(14)(q21.2) in all cells and del(14)(q11.2) in 35% of the cells). This results in a partial duplication of the proximal region of chromosome 14, combined with a mosaic partial triplication of a smaller segment of the same region. In this paper, we compare the clinical features of this case to those of cases from the literature. Although most of the patients from literature were unbalanced translocation carriers, their clinical features were comparable, except from renal abnormalities.
- Published
- 2006
50. A new case of dup(1)(q21.2q12) in an individual with mild mental retardation.
- Author
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Faas BH, Mieloo H, Van Es-Van Gaal JW, and Van Ravenswaaij C
- Subjects
- Adult, Humans, Male, Chromosomes, Human, Pair 1, Gene Duplication, Intellectual Disability genetics
- Abstract
Proximal duplications of the long arm of chromosome 1 are rare and the few patients that have been described in literature have multiple congenital abnormalities and/or mental retardation. The present paper describes the clinical and cytogenetic findings of an adult patient with only mild mental retardation and some minor malformations. The patient carries an inverted duplication of 1q12q21.2.
- Published
- 2003
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