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. 2022 Nov 9;109(12):2185–2195. doi: 10.1016/j.ajhg.2022.10.011

Table 3.

Genes identified in TWASs in novel loci in association with breast cancer risk

Locia Gene Gene type Z score p R2b
Overall

1p11.2 NBPF8 Pseudogene 7.05 1.76 × 10−12 0.23
1p11.2 PFN1P2 Pseudogene 9.22 2.87 × 10−20 0.22
3p21.31 RNF123 Protein coding 4.63 3.62 × 10−6 0.26
5p15.31 NSUN2 Protein coding −4.89 1.01 × 10−6 0.37
10q26.13 EEF1AKMT2 Protein coding −4.70 2.63 × 10−6 0.34
15q15.1 SRP14-DT LincRNA −4.80 1.55 × 10−6 0.29
15q15.3 STRCP1 Pseudogene −4.66 3.18 × 10−6 0.12
17p12 MAP2K4 Protein coding 4.99 6.06 × 10−7 0.02
19q13.12 ZNF793-AS1 Antisense RNA −4.94 7.64 × 10−7 0.10
20q11.22 CPNE1 Protein coding −4.68 2.88 × 10−6 0.38
20q13.33c RGS19 Protein coding 4.64 3.47 × 10−6 0.07

ER-positive

6p22.1 H4C12 Protein coding 5.01 5.54 × 10−7 0.07
11q13.2 RHOD Protein coding 4.78 1.73 × 10−6 0.19
5q13.2c GUSBP14 Pseudogene 5.08 3.73 × 10−7 0.08
a

Unless otherwise specified, results are based on TWAS analyses using cross-ancestry GWAS data.

b

Prediction performance derived using GTEx data.

c

Genes identified from association analysis using European-ancestry GWAS data.