Cross-ancestry proteome-wide Mendelian randomization prioritizes 12 plasma protein candidates for breast cancer risk
Wu, X.; Godbole, D.; Williams, J.; Sharma, J.; Choi, J.; Liu, Z.; Kraft, P.; Zhang, H.
Show abstract
The plasma proteome provides a molecular bridge between genetic variation and disease risk, yet its contribution to breast cancer susceptibility across ancestries remains unclear. We conducted a proteome-wide Mendelian randomization (MR) study of 2,923 plasma proteins using cis-protein quantitative trait loci from 34,557 European participants in the UK Biobank Pharma Proteomics Project, integrated with genome-wide association studies of 156,901 breast cancer cases and 204,634 controls of European, East Asian, and African ancestries. Cross-ancestry meta-analysis identified 12 candidate proteins associated with breast cancer risk (P < 2.5x10-5), including six previously reported and six newly implicated in MR studies. DNPH1 showed cross-ancestry heterogeneity, with a risk-increasing association in European populations and a nominally inverse association in East Asian populations. CASP8, RALB, and USP28 displayed subtype-differentiated associations. Orthogonal validation provided variable support: six demonstrated strong evidence of statistical colocalization; four replicated in an independent European proteomic dataset (deCODE, n = 35,559); two replicated in an independent East Asian proteomic dataset (JCTF, n = 1,384); and four were supported by polygenic-score analyses in the ancestrally diverse All of Us cohort (9,250 cases, 214,857 controls). These findings prioritize a high-confidence subset of plasma proteins, including LRRC25, PARK7, and LRRC37A2, for future mechanistic and translational investigation.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Pan-cancer analysis demonstrates that integrating polygenic risk scores with modifiable risk factors improves risk prediction 95%
- Systematic discovery of gene-environment interactions underlying the human plasma proteome in UK Biobank 95%
- Risk factors for eight common cancers revealed from a phenome-wide Mendelian randomisation analysis of 378,142 cases and 485,715 controls 95%
Similar papers in this journal
- A polygenic score-based approach to identify gene-drug interactions stratifying breast cancer risk 95%
- A joint transcriptome-wide association study across multiple tissues identifies new candidate susceptibility genes for breast cancer 94%
- Segregation analysis of 17,425 population-based breast cancer families: evidence for genetic susceptibility and risk prediction 93%
Similar papers in this journal
- Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses 96%
- Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases 94%
- Fine-mapping of 150 breast cancer risk regions identifies 178 high confidence target genes 93%
Similar papers in this journal
- A proteome-wide genetic investigation identifies several SARS-CoV-2-exploited host targets of clinical relevance 94%
- Assessing the causal role of epigenetic clocks in the development of multiple cancers: a Mendelian randomization study 93%
- Novel risk loci for COVID-19 hospitalization among admixed American populations 93%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.