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Chunk #14 — Results — Variance explained and gain using multiple BP measurements

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Genome-wide association analyses using electronic health records identify new loci influencing blood pressure variation.
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a large increase with more measurements included. However, when not fixing the sample size, and using all individuals with at least 1/2/3/4/5+ measurements, we found 12/10/11/10/7 genome-wide SBP, 14/14/14/13/11 DBP, and 20/21/23/21/23 PP significant loci, using a total of 80,792/78,372/75,446/71,834/67,547 individuals, reflecting the loss of statistical power with decreasing sample size. Consequently, it is difficult to determine the optimal minimum number of measurements for subject inclusion, due to the precision vs. sample size tradeoff.