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Statistical concepts and tools are crucial in genetic studies as they enable researchers to analyze complex data, identify patterns, and make inferences about genetic variations and their associations with traits or diseases. They help in the design of experiments, ensuring that sample sizes are adequate to detect significant effects while controlling for confounding factors. Additionally, statistical methods are essential for interpreting results, such as estimating heritability and conducting genome-wide association studies (GWAS), ultimately guiding insights into genetic mechanisms and potential therapeutic targets.

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