Pulse Brain · Growing Health Evidence Index
Tier 4 — Narrative / commentaryPeer-reviewed

Deconstructing the sources of genotype-phenotype associations in humans

Alexander I. Young, Stefania Benónísdóttir, Molly Przeworski, Augustine Kong

Science · 2019

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Summary

This review synthesises recent advances in understanding the complex sources of genotype-phenotype associations in humans, moving beyond simple genetic association models to distinguish direct effects, indirect effects mediated through other traits, and confounding from population structure. The authors argue that analysing data from close relatives offers particular promise for disentangling these mechanisms and improving the reliability of phenotypic predictions. The work provides a framework for interpreting genome-wide association findings and guides future methodological development in human genetics.

UK applicability

The methodological framework and conceptual advances are applicable to UK human genetic research and biobank studies, including UK Biobank. The findings are relevant to improving interpretation of genetic associations with traits related to nutrition, metabolism, and disease susceptibility in UK populations.

Key measures

Decomposition of direct and indirect genetic effects; assessment of population structure confounding; methodological frameworks for analysing genotype-phenotype relationships in close relatives

Outcomes reported

The study summarises progress in understanding and decomposing the multiple sources of genotype-phenotype associations in humans, including direct genetic effects, indirect genetic effects, and population structure confounding. It identifies methodological approaches and future data collection strategies for improved interpretation and phenotypic prediction.

Theme
Measurement & metrics
Subject
Measurement methods & nutrient profiling
Study type
Narrative Review
Study design
Narrative review
Source type
Peer-reviewed study
Status
Published
Geography
International
System type
Human clinical
DOI
10.1126/science.aax3710
Catalogue ID
SNmoj4445k-q0ii2m

Topic tags

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