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Showing 1–6 of 6 results
Advanced filters: Author: "Alkes L. Price" Clear advanced filters

  • This article compares the different approaches that have been developed for detecting confounding due to population stratification, family structure and cryptic relatedness, with an emphasis on the potential of mixed models for addressing these problems simultaneously.

    • Alkes L. Price
    • Noah A. Zaitlen
    • Nick Patterson
    Reviews
    Nature Reviews Genetics
    Volume: 11, P: 459-463

    • Alkes L. Price
    • Noah A. Zaitlen
    • Nick Patterson
    Correspondence
    Nature Reviews Genetics
    Volume: 14, P: 300

  • The increased genetic diversity in populations with recent ancestry from more than one continent may help in the identification of genetic variants underlying disease risk. This Progress article discusses recent developments in methods to study complex traits in these admixed populations, including combining SNP and admixture association signals.

    • Michael F. Seldin
    • Bogdan Pasaniuc
    • Alkes L. Price
    Reviews
    Nature Reviews Genetics
    Volume: 12, P: 523-528

  • The data from genome-wide association studies can be applied to genotype data to predict the phenotype of a complex trait. Here the authors discuss the potential pitfalls of such analyses and the inherent limitations of the method.

    • Naomi R. Wray
    • Jian Yang
    • Peter M. Visscher
    Reviews
    Nature Reviews Genetics
    Volume: 14, P: 507-515

  • Principal component analysis (PCA) has been a useful tool for analysis of genetic data, particularly in studies of human migration. A new study finds evidence that the observed geographic gradients, traditionally thought to represent major historical migrations, may in fact have other interpretations.

    • David Reich
    • Alkes L Price
    • Nick Patterson
    News & Views
    Nature Genetics
    Volume: 40, P: 491-492

  • Investigating the genetic basis of complex traits and diseases using individual-level genetic data from genome-wide association studies is often hampered by privacy concerns and logistical considerations. Here, the authors review recent statistical methods that leverage summary association data, which are widely available and can circumvent these issues.

    • Bogdan Pasaniuc
    • Alkes L. Price
    Reviews
    Nature Reviews Genetics
    Volume: 18, P: 117-127