Table 2.
Phenotype | condFDR | FDR | p-value |
---|---|---|---|
(<0.01) | (<0.01) | (Bonferroni) | |
BD | 8 | 2 | 0 |
BMI | 7 | 5 | 3 |
CD | 55 | 34 | 16 |
CPD | 1 | 0 | 0 |
HDL | 52 | 38 | 18 |
Height | 189 | 123 | 51 |
LDL | 62 | 37 | 19 |
MS | 51 | 42 | 25 |
PrCa | 16 | 12 | 6 |
SBP | 12 | 6 | 2 |
SCZ | 29 | 14 | 6 |
T2D | 1 | 1 | 1 |
TG | 84 | 43 | 20 |
UC | 54 | 36 | 18 |
WHR | 4 | 3 | 0 |
Comparative table showing number of identified genomic loci with conditional false discovery rate (condFDR < 0.01) compared with false discovery rate (FDR < 0.01) and standard p-value (Bonferroni correction p < 5×10−8). We show that the condFDR method improves the discovery of miRNA SNPs across the 15 phenotypes. The numbers reported here are after pruning SNPs for LD at a threshold of r2 ≤ 0.2. BD, Bipolar Disorder; BMI, Body Mass Index; CD, Crohn's disease; CPD, Cigarettes per Day; HDL, High density lipoprotein; LDL, Low density lipoprotein; MS, multiple sclerosis; PrCa, prostate cancer; SBP, systolic blood pressure; SCZ, Schizophrenia; T2D, Type 2 Diabetes; TG, triglycerides; UC, Ulcerative Colitis; WHR, Waist to Hip Ratio.