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   Algorithm-Based Fetal Gender Determination Using X and Y Mini-Short Tandem Repeats at Early Gestational Ages  
   
نویسنده Aghanoori Mohamad-Reza ,Mohammadzadeh Shahr Ghazaleh ,Khorrami Mehdi ,Sayadi Mehrab ,Yazdani Yasaman ,Yazdani Saman ,Akhond Mohamad Reza ,Goodarzi Hamedreza
منبع jentashapir journal of cellular and molecular biology - 2016 - دوره : 7 - شماره : 1 - صفحه:1 -9
چکیده    Background: detection of fetal dna in maternal blood has been examined by many research groups for a few years; thereby, scientists have a shorter way to take to approach prenatal diagnosis of abnormal pregnancies. the y chromosome sequences have recently become the most common applicable indices for fetal sex determination. objectives: we conducted an algorithmic x and y mini-short tandem repeats (strs) genotyping method that could solve the problem of false negative (no detection of y sequences) results of previous methods. patients and methods: blood samples were obtained from 106 pregnant women and their spouses. conventional pcr amplified 19 mini-short tandem repeats (strs) and three non-str markers, which were subsequently genotyped by the means of polyacrylamide gel electrophoresis (page).results: sensitivity and specificity of the mini-str genotyping method for fetal dna detection were calculated (95.9% and 98%, respectively) with a confidence interval of 95%. in addition, sensitivity and informativeness were computed for each of the single mini-str markers in our conventional pcr method. we also introduced the minimum number of mini-strs needed to reach maximum validity for fetal gender determination in clinical settings. conclusions: algorithm-based mini-str genotyping method significantly increases the reliability (sensitivity and specificity) of gender determination using free fetal dna and could be applied in prenatal clinical testing.
کلیدواژه Free Fetal DNA ,Sex Determination ,X-Y Algorithm ,Mini-STR
آدرس shiraz university of medical sciences, Department of Medical Genetics, ایران, shahid chamran university of ahvaz, Department of Genetics, ایران, shiraz university of medical sciences, Department of Medical Genetics, ایران, shiraz university of medical sciences, Department of Biostatistics, ایران, shiraz university of medical sciences, Department of Medical Genetics, ایران, Lund University, 4Lund Stem Cell Center, Sweden, shahid chamran university of ahvaz, Department of Statistics, ایران, shiraz university of medical sciences, Department of Medical Genetics, ایران
پست الکترونیکی godarzih@sums.ac.ir
 
     
   
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