Dilution of candidates: the case of iron-related genes in restless legs syndrome

作者：Oexle Konrad^*; Schormair Barbara; Ried Janina S; Czamara Darina; Heim Katharina; Frauscher Birgit; Hoegl Birgit; Trenkwalder Claudia; Fiedler G Martin; Thiery Joachim; Lichtner Peter; Prokisch Holger; Specht Michael; Mueller Myhsok Bertram; Doering Angela; Gieger Christian; Peters Annette; Wichmann H Erich; Meitinger Thomas; Winkelmann Juliane

来源：European Journal of Human Genetics, 2013, 21(4): 410-414.

DOI：10.1038/ejhg.2012.193

• restless legs syndrome
• iron parameters
• MEIS1 haplotype
• power calculation
• linear regression
• logistic regression

Restless legs syndrome (RLS) is a common multifactorial disease. Some genetic risk factors have been identified. RLS susceptibility also has been related to iron. We therefore asked whether known iron-related genes are candidates for association with RLS and, vice versa, whether known RLS-associated loci influence iron parameters in serum. RLS/control samples (n=954/1814 in the discovery step, 735/736 in replication 1, and 736/735 in replication 2) were tested for association with SNPs located within 4 Mb intervals surrounding each gene from a list of 111 iron-related genes using a discovery threshold of P=5 x 10(-4). Two population cohorts (KORA F3 and F4 with together n=3447) were tested for association of six known RLS loci with iron, ferritin, transferrin, transferrin-saturation, and soluble transferrin receptor. Results were negative. None of the candidate SNPs at the iron-related gene loci was confirmed significantly. An intronic SNP, rs2576036, of KATNAL2 at 18q21.1 was significant in the first (P=0.00085) but not in the second replication step (joint nominal P-value=0.044). Especially, rs1800652 (C282Y) in the HFE gene did not associate with RLS. Moreover, SNPs at the known RLS loci did not significantly affect serum iron parameters in the KORA cohorts. In conclusion, the correlation between RLS and iron parameters in serum may be weaker than assumed. Moreover, in a general power analysis, we show that genetic effects are diluted if they are transmitted via an intermediate trait to an end-phenotype. Sample size formulas are provided for small effect sizes. European Journal of Human Genetics (2013) 21, 410-414; doi:10.1038/ejhg.2012.193; published online 29 August 2012

• 出版日期2013-4
• 单位河北医科大学