Mendelian randomization is an approach to causal inference that uses genetic variants as instrumental variables to estimate causal effects of a risk factor on disease or health outcomes. Methods ...

Researchers at Columbia University Mailman School of Public Health have developed a novel computational pipeline designed to identify protein biomarkers associated with complex diseases, including ...

A groundbreaking new book – the first of its kind in Chinese – is now available to empower researchers with the powerful tool of Mendelian randomization. Translated from the esteemed text "Mendelian ...

Traditional epidemiological studies have identified numerous potential risk factors, but observational studies have struggled to establish causal links due to confounding factors and reverse causation ...

Using MR-SPI and AlphaFold3, scientists unravel the molecular underpinnings of Alzheimer’s disease, identifying key protein changes that could reshape future treatments. Study: Deciphering proteins in ...

Higher BMI and IBD causally increase hidradenitis suppurativa risk, large study finds, providing actionable insights for ...

In a recent study published in Scientific Reports, researchers performed a two-sample Mendelian randomization (MR) analysis to explore causal associations between Parkinson's disease (PD) and ...