Genome-wide association studies (GWAS) have identified thousands of variants associated with complex traits, but their biological interpretation often remains unclear. Most of these variants overlap with expression QTLs, indicating their potential involvement in regulation of gene expression. Here, we propose a transcriptome-wide summary statistics-based Mendelian Randomization approach (TWMR) that uses multiple SNPs as instruments and multiple gene expression traits as exposures, simultaneously. Applied to 43 human phenotypes, it uncovers 3,913 putatively causal gene–trait associations, 36% of which have no genome-wide significant SNP nearby in previous GWAS. Using independent association summary statistics, we find that the majority of these loci were missed by GWAS due to power issues. Noteworthy among these links is educational attainment-associated BSCL2, known to carry mutations leading to a Mendelian form of encephalopathy. We also find pleiotropic causal effects suggestive of mechanistic connections. TWMR better accounts for pleiotropy and has the potential to identify biological mechanisms underlying complex traits.

Comparing transcript levels between healthy and diseased individuals allows the identification of differentially expressed genes, which may be causes, consequences or mere correlates of the disease under scrutiny. We propose a method to decompose the observational correlation between gene expression and phenotypes driven by confounders, forward- and reverse causal effects. The bi-directional causal effects between gene expression and complex traits are obtained by Mendelian Randomization integrating summary-level data from GWAS and whole-blood eQTLs. Applying this approach to complex traits reveals that forward effects have negligible contribution. For example, BMI- and triglycerides-gene expression correlation coefficients robustly correlate with trait-to-expression causal effects (r_BMI= 0.11, P_BMI= 2.0 × 10⁻⁵¹ and r_TG= 0.13, P_TG= 1.1 × 10⁻⁶⁸), but not detectably with expression-to-trait effects. Our results demonstrate that studies comparing the transcriptome of diseased and healthy subjects are more prone to reveal disease-induced gene expression changes rather than disease causing ones.

Purpose: To determine the impact of BRCA1 and BRCA2 mutations on ovarian reserve and fertility preservation outcome. The main purpose and research question of the study is to determine the impact of BRCA1 and BRCA2 mutations on ovarian reserve and fertility preservation outcomes. Methods: Prospective study: 67 breast cancer patients between 18 and 40 years old, undergoing a fertility preservation by means of oocyte storage were considered. Inclusions criteria for the study were age between 18 and 40 years old, BMI between 18 and 28, breast cancer neoplasm stage I and II according to American Joint Committee on Cancer classification (2017) and no metastasis. Exclusion criteria: age over 40 years old, BMI < 18 and > 28, breast cancer neoplasm stage III and IV and do not performed the BRCA test. A total of 21 patients had not performed the test and were excluded. Patients were divided into four groups: Group A was composed by 11 breast cancer patients with BRCA 1 mutations, Group B was composed by 11 breast cancer patients with BRCA 2 mutations, Group C was composed by 24 women with breast cancer without BRCA mutations, and Group D (control) was composed by 181 normal women. Results: Group A showed significant lower AMH levels compared to Group C and D (1.2 ± 1.1 vs 4.5 ± 4.1 p < 0.05 and 1.2 ± 1.1 vs 3.8 ± 2.5 p < 0.05). BRCA1 mutated patients showed a significant lower rate of mature oocytes (MII) compared to Group C (3.1 ± 2.3 vs 7.2 ± 4.4 p < 0,05) and Group D (3.1 ± 2.3 vs 7.3 ± 3.4; p < 0,05). Breast cancer patients needed a higher dose of gonadotropins compared to controls (Group A 2206 ± 1392 Group B2047.5 ± 829.9 Group C 2106 ± 1336 Group D 1597 ± 709 p < 0,05). No significant differences were found among the groups considering basal FSH levels, duration of stimulation, number of developed follicles, and number of total retrieved oocytes. Regarding BRCA2 mutation, no effect on fertility was shown in this study. Conclusions: The study showed that BRCA1 patients had a higher risk of premature ovarian insufficiency (POI) confirmed by a diminished ovarian reserve and a lower number of mature oocytes suitable for cryopreservation.