Unveiling APOL1 Haplotypes: A Novel Classification Through Probe-Independent Quantitative Real-Time PCR.

Murat DoganChristine WatkinsHolly IngramNicholas MooreGrace M RuckerElizabeth G GowerJames D EasonAnshul BhallaManish TalwarNosratollah NezakatgooCorey EymardRyan HelmickJason VanattaAmandeep Bajwa Canan Kuscu Cem Kuscu

Published in: bioRxiv : the preprint server for biology (2023)

Our cost-effective and rapid qPCR technique facilitates APOL1 genotyping within hours. Prospective and retrospective studies will enable comparisons with long-term allograft rejection, potentially predicting early/late-stage transplant outcomes based on haplotype evaluation in this diverse group of kidney transplant recipients.

Keyphrases

real time pcr
machine learning
deep learning
cross sectional
high throughput
genome wide
quantum dots
high resolution
living cells
case control
kidney transplantation
loop mediated isothermal amplification
genetic diversity
metabolic syndrome
gene expression
mass spectrometry
sensitive detection