Fine-mapping of prostate cancer susceptibility loci in a large meta-analysis identifies candidate causal variants

Overview of attention for article published in Nature Communications, June 2018

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Eric Topol: We need more "Book of Why" for defining causal genomic variants Nice related contribution: https://t.co/Vub65G72Pi @NatureComms https://t.co/AoW0cBbXO3 #medicine https://t.co/jZ2wyRWH41

Researchers find more genetic variants that can improve prostate cancer prediction. https://t.co/f6ufQWIaka

RT @USCBiostat: New study fine-mapping prostate cancer susceptibility loci using JAM - a statistical method developed by USC biostatistici…

RT @USCBiostat: New study fine-mapping prostate cancer susceptibility loci using JAM - a statistical method developed by USC biostatistici…

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