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Affymetrix SNP array data for preeclampsia samples

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NIAID Data Ecosystem2026-03-13 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE192614
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Preeclampsia is a heterogeneous and complex disease caused by multiple factors, including heredity and environment. However, the underlying mechanism remains elusive due to diverse races, geography, and other factors. Previous findings have revealed that there is a tendency for preeclampsia to run in families. To define genetic factors associated with preeclampsia, we performed a genome-wide analysis of preeclampsia samples from 10 preeclampsia cases and 10 healthy age- and gravidity-matched normotensive pregnant women. We identified 27 aberrant copy number variations related to preeclampsia, including 22 deletions and 5 duplications. These differential copy number variant regions involved 27 differential genes, including SPATA6L, PPP2R3B, PREX2, IL1RAPL1, OR52N1, OR52N5, CHSY1, DPP6, KRTAP9-7, LPA, NTRK1, BTNL3, TBC1D3F, TBC1D3, LOC440434 , EYA2, APOBEC3A_B, APOBEC3A, APOBEC3B, FHIT, EXT1, PRR14, FBRS, LMF1, MALT1, BCAS1, and MIR4756. These findings suggest that these differential genes may be associated with the pathogenesis of preeclampsia and require further investigation. Affymetrix SNP arrays were performed according to the manufacturer's directions on DNA extracted from peripheral blood samples. Copy number analysis of Affymetrix CytoScan HD Cytogenetics array was performed for 10 preeclampsia cases and 10 healthy age- and gravidity-matched normotensive pregnant women. The high-frequency copy number variation regions of ordinary individuals in the Database of Genomic Variants (http://dgv.tcag.ca/dgv/app/home) were used as references for copy number analysis.
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2022-01-03
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