Table3_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…Background<p>Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with various contributing factors. …”

Table9_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…Background<p>Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with various contributing factors. …”

Image1_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.tif by Yifang He (18126257)

“…Background<p>Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with various contributing factors. …”

Table7_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…Background<p>Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with various contributing factors. …”

Table6_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…Background<p>Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with various contributing factors. …”

Table11_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…Background<p>Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with various contributing factors. …”

Table8_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…Background<p>Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with various contributing factors. …”

Table5_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…Background<p>Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with various contributing factors. …”

Table10_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…Background<p>Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with various contributing factors. …”

Table1_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…Background<p>Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with various contributing factors. …”

Data sources and descriptions. by Zeduo Zou (21672789)

“…As the results show, during the study period: (1) Temporal Trends: annual PM2.5 concentrations exhibited significant declines, with BTH decreasing from 1004.71 μg/m³ (2006) to 528 μg/m³ (2020), YRD from 1434.81 μg/m³ (2008) to 621 μg/m³, and PRD from 405.02 μg/m³ (2007) to 292 μg/m³. …”

Table4_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…Background<p>Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with various contributing factors. …”

Image2_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.tif by Yifang He (18126257)

“…Background<p>Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with various contributing factors. …”

Table 1_Unveiling the global impact of hypertensive heart disease among individuals aged ≥ 65 years: metabolic risk factors and future projections for 2050.xlsx by Ning An (618997)

“…Metabolic risks, particularly high systolic blood pressure, were significant contributors to HHD-related mortality and DALYs, with a pronounced impact in high-SDI regions. …”

Table 4_Unveiling the global impact of hypertensive heart disease among individuals aged ≥ 65 years: metabolic risk factors and future projections for 2050.xlsx by Ning An (618997)

“…Metabolic risks, particularly high systolic blood pressure, were significant contributors to HHD-related mortality and DALYs, with a pronounced impact in high-SDI regions. …”

Image 1_Unveiling the global impact of hypertensive heart disease among individuals aged ≥ 65 years: metabolic risk factors and future projections for 2050.tif by Ning An (618997)

“…Metabolic risks, particularly high systolic blood pressure, were significant contributors to HHD-related mortality and DALYs, with a pronounced impact in high-SDI regions. …”

Table 3_Unveiling the global impact of hypertensive heart disease among individuals aged ≥ 65 years: metabolic risk factors and future projections for 2050.xlsx by Ning An (618997)

“…Metabolic risks, particularly high systolic blood pressure, were significant contributors to HHD-related mortality and DALYs, with a pronounced impact in high-SDI regions. …”

Table 2_Unveiling the global impact of hypertensive heart disease among individuals aged ≥ 65 years: metabolic risk factors and future projections for 2050.xlsx by Ning An (618997)

“…Metabolic risks, particularly high systolic blood pressure, were significant contributors to HHD-related mortality and DALYs, with a pronounced impact in high-SDI regions. …”

Excel raw data. by Michael Getie (12400923)

“…P-values below 0.05 were seen as a sign of a statistically significant difference.…”

SLMO is required for the proper function of PISD. by Siwen Zhao (543384)

“…<p>(A) Schematic of the genome-wide RNAi screen for factors that prevent the rescue effects of PISD on the ERG defects of <i>pect</i>^<i>RNAi</i>. …”