rs10032549 - SHROOM3

Magnitude 2.2 · 1 study on file

Reported associations

• Using Multiple Measures for Quantitative Trait Association Analyses: Application to Estimated Glomerular Filtration Rate (eGFR) - Unknown journal (n.d.) · Unknown authors · PubMed 23535967

  ABSTRACT: Studies of multiple measures of a quantitative trait can have greater precision and thus statistical power compared to single measure studies, but this has rarely been studied in the relation to quantitative trait measurement error models in genetic association studies. Using estimated glomerular filtration rate (eGFR), a quantitative measure of kidney function, as an example we constructed measurement error models of a quantitative trait with systematic and random error components. We then examined the effects on precision of the parameter estimate between genetic loci and eGFR resulting from varying the correlation and contribution of the error components. We also compared the empirical results from 3 genome-wide association studies (GWAS) of kidney function in 9049 European Am

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