Deconstructing the sources of genotype-phenotype associations in humans

Author:

Young Alexander I.12ORCID,Benonisdottir Stefania1ORCID,Przeworski Molly34ORCID,Kong Augustine1ORCID

Affiliation:

1. Big Data Institute, Li Ka Shing Centre for Health Information Discovery, University of Oxford, Oxford, UK.

2. Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK.

3. Department of Biological Sciences, Columbia University, New York, NY, USA.

4. Department of Systems Biology, Columbia University, New York, NY, USA.

Abstract

Efforts to link variation in the human genome to phenotypes have progressed at a tremendous pace in recent decades. Most human traits have been shown to be affected by a large number of genetic variants across the genome. To interpret these associations and to use them reliably—in particular for phenotypic prediction—a better understanding of the many sources of genotype-phenotype associations is necessary. We summarize the progress that has been made in this direction in humans, notably in decomposing direct and indirect genetic effects as well as population structure confounding. We discuss the natural next steps in data collection and methodology development, with a focus on what can be gained by analyzing genotype and phenotype data from close relatives.

Funder

National Institutes of Health

Li Ka Shing Foundation

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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