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Mapping causal biology with Mendelian randomization in the big data era
Original: Mapping causal biology: Mendelian randomization in the era of big data
A new science release examines Mendelian randomization, a statistical method that uses genetic variants to infer whether biological factors genuinely cause disease rather than merely correlate with it. As genome-scale datasets grow, researchers say the technique is becoming central to identifying causal biology and prioritising drug targets, while debates continue about its assumptions and reliability.
Why now: Growing availability of large genetic datasets is driving renewed interest in how causal claims in biology and medicine can be established.
Mendelian randomizationgeneticsEurekAlert
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Evidence
- Mapping causal biology: Mendelian randomization in the era of big data · EurekAlert! Science News Releases
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