Correcting away the hidden heritability.
作者： Scott M. Williams , Jonathan L. Haines
DOI: 10.1111/J.1469-1809.2011.00640.X
关键词:
摘要: Summary In the age of high-density genome-wide association (GWAS) data, correcting for multiple comparisons is a substantial issue genetic epidemiological studies. However, current manuscript review process generally requires both stringent correction and independent replication. The result this stringency that studies are published suffer from inflated Type 2 error rates (false negatives), thereby removing many likely real signals follow-up. Elimination these alleles, if they truly associated, further study will slow research progress in complex disease. We argue method overly conservative, especially an when follow-up experiments possible reasonably inexpensive.
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