Genetic Analyses

Cross-source consensus on Genetic Analyses from 1 sources and 5 claims.

1 sources · 5 claims

How it works

Correlated maternal and offspring genotypes can cause fetal genetic effects to bias MR estimates of maternal exposure effects. — Cohort profile: the Mendelian randomisation in pregnancy (MR-PREG) collaboration – improving evidence for prevention and treatment of adverse pregnancy and perinatal outcomes
MR-PREG conducted genome-wide association studies in core cohorts to generate APPO genetic association data for two-sample MR. — Cohort profile: the Mendelian randomisation in pregnancy (MR-PREG) collaboration – improving evidence for prevention and treatment of adverse pregnancy and perinatal outcomes
Variants with low imputation accuracy or minor allele frequency below 0.01 were excluded from the analyses. — Cohort profile: the Mendelian randomisation in pregnancy (MR-PREG) collaboration – improving evidence for prevention and treatment of adverse pregnancy and perinatal outcomes
Maternal and offspring genetic effects were meta-analysed separately. — Cohort profile: the Mendelian randomisation in pregnancy (MR-PREG) collaboration – improving evidence for prevention and treatment of adverse pregnancy and perinatal outcomes
MR-PREG used DONUTS to estimate mutually adjusted maternal and fetal genetic effects at each SNP. — Cohort profile: the Mendelian randomisation in pregnancy (MR-PREG) collaboration – improving evidence for prevention and treatment of adverse pregnancy and perinatal outcomes