Pulse Brain · Growing Health Evidence Index
Peer-reviewed

Minimal phenotyping yields genome-wide association signals of low specificity for major depression

Na Cai, Joana Revez, Mark J. Adams, Till F. M. Andlauer, Gerome Breen, Enda M. Byrne, Toni‐Kim Clarke, Andreas J. Forstner, Hans J. Grabe, Steven P. Hamilton, Douglas F. Levinson, Cathryn M. Lewis, Glyn Lewis, Nicholas G. Martin, Yuri Milaneschi, Ole Mors, Bertram Müller‐Myhsok, Brenda W.J.H. Penninx, Roy H. Perlis, Giorgio Pistis, James B. Potash, Martin Preisig, Jianxin Shi, Jordan W. Smoller, Fabien Streit, Henning Tiemeier, Rudolf Uher, Sandra Van der Auwera, Alexander Viktorin, Myrna M. Weissman, Kenneth S. Kendler, Jonathan Flint

Nature Genetics · 2020

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Summary

Minimal phenotyping refers to the reliance on the use of a small number of self-reported items for disease case identification, increasingly used in genome-wide association studies (GWAS). Here we report differences in genetic architecture between depression defined by minimal phenotyping and strictly defined major depressive disorder (MDD): the former has a lower genotype-derived heritability that cannot be explained by inclusion of milder cases and a higher proportion of the genome contributing to this shared genetic liability with other conditions than for strictly defined MDD. GWAS based on minimal phenotyping definitions preferentially identifies loci that are not specific to MDD, and, although it generates highly predictive polygenic risk scores, the predictive power can be explained

Source type
Peer-reviewed study
DOI
10.1038/s41588-020-0594-5
Catalogue ID
SNmohdw82e-0kdndc
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