SwePub
Sök i LIBRIS databas

  Extended search

WFRF:(Shungin Dmitry)
 

Search: WFRF:(Shungin Dmitry) > A fully adjusted tw...

  • Sofer, Tamar (author)

A fully adjusted two-stage procedure for rank-normalization in genetic association studies

  • Article/chapterEnglish2019

Publisher, publication year, extent ...

  • 2019-01-17
  • John Wiley & Sons,2019
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:umu-157743
  • https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-157743URI
  • https://doi.org/10.1002/gepi.22188DOI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • When testing genotype–phenotype associations using linear regression, departure of the trait distribution from normality can impact both Type I error rate control and statistical power, with worse consequences for rarer variants. Because genotypes are expected to have small effects (if any) investigators now routinely use a two‐stage method, in which they first regress the trait on covariates, obtain residuals, rank‐normalize them, and then use the rank‐normalized residuals in association analysis with the genotypes. Potential confounding signals are assumed to be removed at the first stage, so in practice, no further adjustment is done in the second stage. Here, we show that this widely used approach can lead to tests with undesirable statistical properties, due to both combination of a mis‐specified mean–variance relationship and remaining covariate associations between the rank‐normalized residuals and genotypes. We demonstrate these properties theoretically, and also in applications to genome‐wide and whole‐genome sequencing association studies. We further propose and evaluate an alternative fully adjusted two‐stage approach that adjusts for covariates both when residuals are obtained and in the subsequent association test. This method can reduce excess Type I errors and improve statistical power.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Zheng, Xiuwen (author)
  • Gogarten, Stephanie M. (author)
  • Laurie, Cecelia A. (author)
  • Grinde, Kelsey (author)
  • Shaffer, John R. (author)
  • Shungin, DmitryUmeå universitet,Institutionen för odontologi,Broad Institute of Harvard and MIT, Cambridge, Massachusetts(Swepub:umu)dmsh0003 (author)
  • O'Connell, Jeffrey R. (author)
  • Durazo-Arvizo, Ramon A. (author)
  • Raffield, Laura (author)
  • Lange, Leslie (author)
  • Musani, Solomon (author)
  • Vasan, Ramachandran S. (author)
  • Cupples, L. Adrienne (author)
  • Reiner, Alexander P. (author)
  • Laurie, Cathy C. (author)
  • Rice, Kenneth M. (author)
  • Umeå universitetInstitutionen för odontologi (creator_code:org_t)

Related titles

  • In:Genetic Epidemiology: John Wiley & Sons43:3, s. 263-2750741-03951098-2272

Internet link

Find in a library

To the university's database

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view