Exploring the predicted yield of prenatal testing by evaluating a postnatal population with structural abnormalities using a novel mathematical model.
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| Title: | Exploring the predicted yield of prenatal testing by evaluating a postnatal population with structural abnormalities using a novel mathematical model. |
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| Authors: | Nunley PB; Department of Obstetrics and Gynecology, University of South Carolina School of Medicine, Columbia, South Carolina, USA.; The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, Texas, USA., Hashmi SS; Department of Pediatrics, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Texas, USA., Johnson A; Department of Pediatrics, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Texas, USA.; Department of Obstetrics, Gynecology and Reproductive Sciences, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Texas, USA., Ashfaq M; The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, Texas, USA.; Department of Pediatrics, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Texas, USA., Farach LS; The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, Texas, USA.; Department of Pediatrics, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Texas, USA., Singletary CN; The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, Texas, USA.; Department of Pediatrics, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Texas, USA.; Department of Obstetrics, Gynecology and Reproductive Sciences, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Texas, USA., Stevens BK; The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, Texas, USA.; Department of Obstetrics, Gynecology and Reproductive Sciences, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Texas, USA. |
| Source: | Prenatal diagnosis [Prenat Diagn] 2021 Feb; Vol. 41 (3), pp. 354-361. Date of Electronic Publication: 2020 Nov 04. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Wiley Country of Publication: England NLM ID: 8106540 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-0223 (Electronic) Linking ISSN: 01973851 NLM ISO Abbreviation: Prenat Diagn Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1097-0223 |
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| DOI: | 10.1002/pd.5858 |
