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Dive into the research topics where Amin R. Mazloom is active.

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Featured researches published by Amin R. Mazloom.


Prenatal Diagnosis | 2013

Noninvasive prenatal detection of sex chromosomal aneuploidies by sequencing circulating cell-free DNA from maternal plasma

Amin R. Mazloom; Željko Džakula; Paul Oeth; Huiquan Wang; Taylor J. Jensen; John Tynan; Ron McCullough; Juan-Sebastian Saldivar; Mathias Ehrich; Dirk van den Boom; Allan T. Bombard; Margo Maeder; Graham McLennan; Wendy S. Meschino; Glenn E. Palomaki; Jacob A. Canick; Cosmin Deciu

Whole‐genome sequencing of circulating cell free (ccf) DNA from maternal plasma has enabled noninvasive prenatal testing for common autosomal aneuploidies. The purpose of this study was to extend the detection to include common sex chromosome aneuploidies (SCAs): [47,XXX], [45,X], [47,XXY], and [47,XYY] syndromes.


PLOS ONE | 2014

Non-Invasive Prenatal Chromosomal Aneuploidy Testing - Clinical Experience: 100,000 Clinical Samples

Ron McCullough; Eyad Almasri; Xiaojun Guan; Jennifer Geis; Susan C. Hicks; Amin R. Mazloom; Cosmin Deciu; Paul Oeth; Allan T. Bombard; Bill Paxton; Nilesh Dharajiya; Juan-Sebastian Saldivar

Objective As the first laboratory to offer massively parallel sequencing-based noninvasive prenatal testing (NIPT) for fetal aneuploidies, Sequenom Laboratories has been able to collect the largest clinical population experience data to date, including >100,000 clinical samples from all 50 U.S. states and 13 other countries. The objective of this study is to give a robust clinical picture of the current laboratory performance of the MaterniT21 PLUS LDT. Study Design The study includes plasma samples collected from patients with high-risk pregnancies in our CLIA–licensed, CAP-accredited laboratory between August 2012 to June 2013. Samples were assessed for trisomies 13, 18, 21 and for the presence of chromosome Y-specific DNA. Sample data and ad hoc outcome information provided by the clinician was compiled and reviewed to determine the characteristics of this patient population, as well as estimate the assay performance in a clinical setting. Results NIPT patients most commonly undergo testing at an average of 15 weeks, 3 days gestation; and average 35.1 years of age. The average turnaround time is 4.54 business days and an overall 1.3% not reportable rate. The positivity rate for Trisomy 21 was 1.51%, followed by 0.45% and 0.21% rate for Trisomies 18 and 13, respectively. NIPT positivity rates are similar to previous large clinical studies of aneuploidy in women of maternal age ≥35 undergoing amniocentesis. In this population 3519 patients had multifetal gestations (3.5%) with 2.61% yielding a positive NIPT result. Conclusion NIPT has been commercially offered for just over 2 years and the clinical use by patients and clinicians has increased significantly. The risks associated with invasive testing have been substantially reduced by providing another assessment of aneuploidy status in high-risk patients. The accuracy and NIPT assay positivity rate are as predicted by clinical validations and the test demonstrates improvement in the current standard of care.


PLOS ONE | 2013

High-throughput massively parallel sequencing for fetal aneuploidy detection from maternal plasma.

Taylor J. Jensen; Tricia Zwiefelhofer; Roger Tim; Željko Džakula; Sung K. Kim; Amin R. Mazloom; Zhanyang Zhu; John Tynan; Tim Lu; Graham McLennan; Glenn E. Palomaki; Jacob A. Canick; Paul Oeth; Cosmin Deciu; Dirk van den Boom; Mathias Ehrich

Background Circulating cell-free (ccf) fetal DNA comprises 3–20% of all the cell-free DNA present in maternal plasma. Numerous research and clinical studies have described the analysis of ccf DNA using next generation sequencing for the detection of fetal aneuploidies with high sensitivity and specificity. We sought to extend the utility of this approach by assessing semi-automated library preparation, higher sample multiplexing during sequencing, and improved bioinformatic tools to enable a higher throughput, more efficient assay while maintaining or improving clinical performance. Methods Whole blood (10mL) was collected from pregnant female donors and plasma separated using centrifugation. Ccf DNA was extracted using column-based methods. Libraries were prepared using an optimized semi-automated library preparation method and sequenced on an Illumina HiSeq2000 sequencer in a 12-plex format. Z-scores were calculated for affected chromosomes using a robust method after normalization and genomic segment filtering. Classification was based upon a standard normal transformed cutoff value of z = 3 for chromosome 21 and z = 3.95 for chromosomes 18 and 13. Results Two parallel assay development studies using a total of more than 1900 ccf DNA samples were performed to evaluate the technical feasibility of automating library preparation and increasing the sample multiplexing level. These processes were subsequently combined and a study of 1587 samples was completed to verify the stability of the process-optimized assay. Finally, an unblinded clinical evaluation of 1269 euploid and aneuploid samples utilizing this high-throughput assay coupled to improved bioinformatic procedures was performed. We were able to correctly detect all aneuploid cases with extremely low false positive rates of 0.09%, <0.01%, and 0.08% for trisomies 21, 18, and 13, respectively. Conclusions These data suggest that the developed laboratory methods in concert with improved bioinformatic approaches enable higher sample throughput while maintaining high classification accuracy.


Prenatal Diagnosis | 2015

Determination of fetal DNA fraction from the plasma of pregnant women using sequence read counts

Sung K. Kim; Gregory Hannum; Jennifer Geis; John Tynan; Grant Hogg; Chen Zhao; Taylor J. Jensen; Amin R. Mazloom; Paul Oeth; Mathias Ehrich; Dirk van den Boom; Cosmin Deciu

This study introduces a novel method, referred to as SeqFF, for estimating the fetal DNA fraction in the plasma of pregnant women and to infer the underlying mechanism that allows for such statistical modeling.


Genetics in Medicine | 2017

Genome-wide cfDNA screening: clinical laboratory experience with the first 10,000 cases

Mathias Ehrich; John Tynan; Amin R. Mazloom; Eyad Almasri; Ron McCullough; Theresa Boomer; Daniel S. Grosu; Jason Chibuk

PurposeInvasive diagnostic prenatal testing can provide the most comprehensive information about the genetic status of a fetus. Noninvasive prenatal screening methods, especially when using cell-free DNA (cfDNA), are often limited to reporting only on trisomies 21, 18, and 13 and sex chromosome aneuploidies. This can leave a significant number of chromosomal and subchromosomal copy-number variations undetected. In 2015, we launched a new genome-wide cfDNA screening test that has the potential to narrow this detection gap.MethodsHere, we review the results from the first 10,000 cases submitted to the Sequenom clinical laboratory for genome-wide cfDNA screening.ResultsThe high-risk indication for this cohort differed compared with standard cfDNA screening. More samples were submitted with ultrasound indications (25% compared with 13% for standard cfDNA screening) and fewer for advanced maternal age (51% for genome-wide screening versus 68% for standard cfDNA screening). A total of 554 positive calls were made, of which 164 were detectable only via genome-wide analysis.ConclusionThis reports indicates a difference in utilization compared with standard cfDNA screening, where positivity rates are higher and a large subset of positive calls could not have been made using standard cfDNA screening.


Prenatal Diagnosis | 2016

Application of risk score analysis to low‐coverage whole genome sequencing data for the noninvasive detection of trisomy 21, trisomy 18, and trisomy 13

John Tynan; Sung K. Kim; Amin R. Mazloom; Chen Zhao; Graham McLennan; Roger Tim; L. Liu; Gregory Hannum; Andrew D. Hull; Allan T. Bombard; Paul Oeth; T. Burcham; D. van den Boom; Mathias Ehrich

Clinical performance of a low coverage, low cost, massively parallel sequencing (MPS)‐based assay to stratify risk of trisomy 21, 18, and 13 pregnancies was determined.


Clinical Chemistry | 2016

Using Targeted Sequencing of Paralogous Sequences for Noninvasive Detection of Selected Fetal Aneuploidies.

Christopher K. Ellison; Youting Sun; Grant Hogg; Jesse Fox; Helen Tao; Erin McCarthy; Bright Sagoe; Mostafa A. Azab; Amin R. Mazloom; John Tynan; Timothy Burcham; Sung K. Kim; Dirk van den Boom; Mathias Ehrich; Taylor J. Jensen


Journal of Clinical Oncology | 2018

Low-coverage, genome-wide sequencing of cell-free DNA developed for noninvasive prenatal testing (NIPT) to enable genomic characterization that can be used to monitor immunotherapy response in cancer patients.

Taylor J. Jensen; Aaron Goodman; Shumei Kato; Christopher K. Ellison; Gregory A. Daniels; Lisa Tran; Erin McCarthy; Prachi Nakashe; Amin R. Mazloom; Graham McLennan; Daniel S. Grosu; Mathias Ehrich; Razelle Kurzrock


Cancer Research | 2018

Abstract 633: Application of a novel analytical metric that quantifies copy number alterations in low-coverage, genome-wide sequencing of cell-free DNA to monitor and differentiate response to immunotherapy in cancer patients

Taylor J. Jensen; Aaron Goodman; Christopher K. Ellison; Shumei Kato; Gregory A. Daniels; Lisa Tran; Prachi Nakashe; Erin McCarthy; Amin R. Mazloom; Graham McLennan; Daniel S. Grosu; Mathias Ehrich; Razelle Kurzrock


Journal of Clinical Oncology | 2017

Serial genome-wide sequencing of cell-free DNA (cfDNA) by assays used in non-invasive prenatal testing (NIPT) to identify copy number alterations (CNAs) associated with immunotherapy response.

Aaron Goodman; Taylor J. Jensen; Shumei Kato; Christopher K. Ellison; Lisa Tran; Amin R. Mazloom; Daniel S. Grosu; Mathias Ehrich; Razelle Kurzrock

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Aaron Goodman

University of California

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Lisa Tran

University of California

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