Pitfalls of predicting complex traits from SNPs

@article{Wray2013PitfallsOP,
  title={Pitfalls of predicting complex traits from SNPs},
  author={Naomi R Wray and Jian Yang and Ben J. Hayes and Alkes L. Price and M. E. Goddard and Peter M. Visscher},
  journal={Nature Reviews Genetics},
  year={2013},
  volume={14},
  pages={507-515}
}
The success of genome-wide association studies (GWASs) has led to increasing interest in making predictions of complex trait phenotypes, including disease, from genotype data. Rigorous assessment of the value of predictors is crucial before implementation. Here we discuss some of the limitations and pitfalls of prediction analysis and show how naive implementations can lead to severe bias and misinterpretation of results. 

Figures and Topics from this paper.

Explore Further: Topics Discussed in This Paper

Citations

Publications citing this paper.
SHOWING 1-10 OF 249 CITATIONS, ESTIMATED 75% COVERAGE

Developmental genetics of psychopathology

VIEW 5 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

A tutorial on conducting genome‐wide association studies: Quality control and statistical analysis

  • International journal of methods in psychiatric research
  • 2018
VIEW 5 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Architecture of human complex trait variation

VIEW 5 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Assessment of first and second degree relatives of individuals with bipolar disorder shows increased genetic risk scores in both affected relatives and young At‐Risk Individuals

  • American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics
  • 2015
VIEW 2 EXCERPTS
CITES RESULTS
HIGHLY INFLUENCED

FILTER CITATIONS BY YEAR

2012
2019

CITATION STATISTICS

  • 15 Highly Influenced Citations

  • Averaged 37 Citations per year from 2017 through 2019

References

Publications referenced by this paper.
SHOWING 1-10 OF 80 REFERENCES

A review of a multifactorial probability-based model for classification of BRCA1 and BRCA2 variants of uncertain significance (VUS)

NM Lindor
  • Hum Mutat
  • 2012

Bayesian inference analyses of the polygenic architecture of rheumatoid arthritis.

Eli A Stahl, Daniel Wegmann, +16 authors Robert M Plenge
  • Nature genetics
  • 2012