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Featured researches published by H.J. Stern.


Molecular Cytogenetics | 2014

The accuracy of chromosomal microarray testing for identification of embryonic mosaicism in human blastocysts

Veronica Novik; Emily B Moulton; Michael E. Sisson; Shagun L Shrestha; Khoa Tran; H.J. Stern; B.D. Mariani; Wayne S. Stanley

BackgroundMost previous studies of chromosomal mosaicism in IVF embryos were performed by fluorescence in situ hybridization (FISH) methods. While there are reports implicating chromosome aneuploidy in implantation failure following transfer and pregnancy loss by spontaneous miscarriage, the significance of mosaicism for the developmental potential of growing embryos is unknown. However, the low prevalence of chromosomal mosaicism in chorionic villus sampling and amniotic fluid specimens suggests the presence of selection against mosaic embryos for implantation and early pregnancy. The absence of evidence for selective allocation of abnormal cells to the trophectoderm (TE) of mosaic blastocysts permits these cells to be a good proxy for embryonic mosaicism detection by chromosomal microarrays (CMA). The purpose of this study was to establish the limits of detection and the prevalence of chromosome mosaicism in day 5/6 human embryos using CMA with TE biopsies.ResultsFrom reconstitution experiments we established log2 ratio thresholds for mosaicism detection. These studies indicated that chromosomal mosaicism at levels as low as between 25-37% can be consistently identified. Follow-up studies by FISH on non-transferred abnormal embryos confirmed the diagnostic accuracy of CMA testing. The number of cells in a TE biopsy can influence mosaicism detection.ConclusionsChromosomal microarrays can detect mosaicism in TE biopsies when present at levels as low as between 25-37% and the prevalence of day 5/6 blastocysts which were mosaic and had no other abnormalities reached 15% among a cohort of 551 embryos examined. Validated protocols for establishing detection thresholds for mosaicism are important to reduce the likelihood of transferring abnormal embryos.


Reproductive Biology and Endocrinology | 2014

The effectiveness of flow cytometric sorting of human sperm (MicroSort®) for influencing a child’s sex

David Karabinus; Donald P. Marazzo; H.J. Stern; Daniel A Potter; C. Opanga; Marisa L Cole; L.A. Johnson; Joseph D. Schulman

BackgroundFlow cytometric sorting can be used to separate sperm based on sex chromosome content. Differential fluorescence emitted by stained X- vs. Y-chromosome-bearing sperm enables sorting and collection of samples enriched in either X- or Y-bearing sperm for use to influence the likelihood that the offspring will be a particular sex. Herein we report the effectiveness of flow cytometric sorting of human sperm and its use in human ART procedures.MethodsThis prospective, observational cohort study of the series of subjects treated with flow cytometrically sorted human sperm was conducted at investigational sites at two private reproductive centers. After meeting inclusion criteria, married couples (n = 4993) enrolled to reduce the likelihood of sex-linked or sex-limited disease in future children (n = 383) or to balance the sex ratio of their children (n = 4610). Fresh or frozen-thawed semen was processed and recovered sperm were stained with Hoechst 33342 and sorted by flow cytometry (n = 7718) to increase the percentage of X-bearing sperm (n = 5635) or Y-bearing sperm (n = 2083) in the sorted specimen. Sorted sperm were used for IUI (n = 4448) and IVF/ICSI (n = 2957). Measures of effectiveness were the percentage of X- and Y-bearing sperm in sorted samples, determined by fluorescence in situ hybridization, sex of babies born, IVF/ICSI fertilization- and cleavage rates, and IUI, IVF/ICSI, FET pregnancy rates and miscarriage rates.ResultsSorted specimens averaged 87.7 ± 5.0% X-bearing sperm after sorting for X and 74.3 ± 7.0% Y-bearing sperm after sorting for Y. Seventy-three percent of sorts were for girls. For babies born, 93.5% were females and 85.3% were males after sorting for X- and Y-bearing sperm, respectively. IUI, IVF/ICSI, and FET clinical pregnancy rates were 14.7%, 30.8%, and 32.1%, respectively; clinical miscarriage rates were 15.5%, 10.2%, and 12.7%.ConclusionsFlow cytometric sorting of human sperm shifted the X:Y sperm ratio. IUI, IVF/ICSI and FET outcomes were consistent with unimpaired sperm function. Results provide evidence supporting the effectiveness of flow cytometric sorting of human sperm for use as a preconception method of influencing a baby’s sex.Trial registrationNCT00865735 (ClinicalTrials.gov)


American Journal of Medical Genetics | 2001

Novel approach to the molecular diagnosis of Marfan syndrome: application to sporadic cases and in prenatal diagnosis.

Iva Toudjarska; Michael W. Kilpatrick; Peter Lembessis; Scott Carra; Gary Harton; Michael E. Sisson; Susan H. Black; H.J. Stern; Zully Gelman-Kohan; Mordechai Shohat; Petros Tsipouras


Fertility and Sterility | 2002

Microsorttm babies: 1994–2002 preliminary postnatal follow-up results

H.J. Stern; Sofia Wiley; Rekha Matken; David Karabinus; Keith L. Blauer


Archive | 2006

Methods for reducing the percentage of abnormal gametes

Gary Harton; David Karabinus; H.J. Stern


Fertility and Sterility | 2012

Clinical validation for mosaicism detected in trophectoderm biopsy samples analyzed by chromosomal microarrays

V. Novik; E.B. Morris; Khoa Tran; H.J. Stern; B.D. Mariani; Wayne S. Stanley


Fertility and Sterility | 2012

Successful application of simultaneous chromosomal microarray analysis (CMA) and genetic disease diagnosis from day 5 trophectoderm (TE) embryo biopsies with day 6 embryo transfer

Khoa Tran; B.D. Mariani; S.L. Shrestha; M.C. Sands; V. Novik; H.J. Stern


Obstetrics & Gynecology | 2003

MicroSort separation of X and Y chromosome-bearing sperm: ongoing clinical trial results

Rekha Matken; David Karabinus; Gary Harton; H.J. Stern; Sofia Wiley; Keith L. Blauer


Fertility and Sterility | 2016

ALS/FTD chromosome 9 open reading frame 72 expansion (C9orf72-Exp) preimplantation genetic diagnosis (PGD) and disease-specific human embryonic stem cell (ds-hESC) derivation: a family’s win/win and contribution to science

George Davey Smith; Laura M Keller; Andrew Dorfmann; Khoa Tran; H.J. Stern; B.D. Mariani


Fertility and Sterility | 2014

Comparison of array CGH and next generation sequencing for detection of a cryptic translocation identified by PGD

B.D. Mariani; H.J. Stern; V. Novik; Khoa Tran; Wayne S. Stanley

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Gary Harton

Genetics and IVF Institute

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David Karabinus

Genetics and IVF Institute

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B.D. Mariani

Genetics and IVF Institute

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Keith L. Blauer

Genetics and IVF Institute

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Rekha Matken

Genetics and IVF Institute

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C. Opanga

Genetics and IVF Institute

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M.J. Reeves

Genetics and IVF Institute

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Sofia Wiley

Genetics and IVF Institute

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V. Novik

Genetics and IVF Institute

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