» Articles » PMID: 27473600

Endophenotype Best Practices

Overview
Publisher Elsevier
Specialty Psychiatry
Date 2016 Jul 31
PMID 27473600
Citations 31
Authors
Affiliations
Soon will be listed here.
Abstract

This review examines the current state of electrophysiological endophenotype research and recommends best practices that are based on knowledge gleaned from the last decade of molecular genetic research with complex traits. Endophenotype research is being oversold for its potential to help discover psychopathology relevant genes using the types of small samples feasible for electrophysiological research. This is largely because the genetic architecture of endophenotypes appears to be very much like that of behavioral traits and disorders: they are complex, influenced by many variants (e.g., tens of thousands) within many genes, each contributing a very small effect. Out of over 40 electrophysiological endophenotypes covered by our review, only resting heart, a measure that has received scant advocacy as an endophenotype, emerges as an electrophysiological variable with verified associations with molecular genetic variants. To move the field forward, investigations designed to discover novel variants associated with endophenotypes will need extremely large samples best obtained by forming consortia and sharing data obtained from genome wide arrays. In addition, endophenotype research can benefit from successful molecular genetic studies of psychopathology by examining the degree to which these verified psychopathology-relevant variants are also associated with an endophenotype, and by using knowledge about the functional significance of these variants to generate new endophenotypes. Even without molecular genetic associations, endophenotypes still have value in studying the development of disorders in unaffected individuals at high genetic risk, constructing animal models, and gaining insight into neural mechanisms that are relevant to clinical disorder.

Citing Articles

Faster bi-stable visual switching in psychosis.

Killebrew K, Moser H, Grant A, Marjanska M, Sponheim S, Schallmo M Transl Psychiatry. 2024; 14(1):201.

PMID: 38714650 PMC: 11076514. DOI: 10.1038/s41398-024-02913-z.


Endophenotype trait domains for advancing gene discovery in autism spectrum disorder.

Mosconi M, Stevens C, Unruh K, Shafer R, Elison J J Neurodev Disord. 2023; 15(1):41.

PMID: 37993779 PMC: 10664534. DOI: 10.1186/s11689-023-09511-y.


Examining associations between genetic and neural risk for externalizing behaviors in adolescence and early adulthood.

Brislin S, Salvatore J, Meyers J, Kamarajan C, Plawecki M, Edenberg H Psychol Med. 2023; 54(2):267-277.

PMID: 37203444 PMC: 11010461. DOI: 10.1017/S0033291723001174.


Inferring the Genetic Influences on Psychological Traits Using MRI Connectivity Predictive Models: Demonstration with Cognition.

Hatoum A, Reineberg A, Kragel P, Wager T, Friedman N Complex Psychiatry. 2023; 8(3-4):63-79.

PMID: 37032719 PMC: 10080187. DOI: 10.1159/000527224.


The psychosis human connectome project: Design and rationale for studies of visual neurophysiology.

Schallmo M, Weldon K, Kamath R, Moser H, Montoya S, Killebrew K Neuroimage. 2023; 272:120060.

PMID: 36997137 PMC: 10153004. DOI: 10.1016/j.neuroimage.2023.120060.


References
1.
Iacono W . Identifying psychophysiological risk for psychopathology: examples from substance abuse and schizophrenia research. Psychophysiology. 1998; 35(6):621-37. View

2.
Salvatore J, Gottesman I, Dick D . Endophenotypes for Alcohol Use Disorder: An Update on the Field. Curr Addict Rep. 2015; 2(1):76-90. PMC: 4520241. DOI: 10.1007/s40429-015-0046-y. View

3.
Scott R, Lagou V, Welch R, Wheeler E, Montasser M, Luan J . Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways. Nat Genet. 2012; 44(9):991-1005. PMC: 3433394. DOI: 10.1038/ng.2385. View

4.
Swerdlow N, Gur R, Braff D . Consortium on the Genetics of Schizophrenia (COGS) assessment of endophenotypes for schizophrenia: an introduction to this Special Issue of Schizophrenia Research. Schizophr Res. 2014; 163(1-3):9-16. PMC: 4382419. DOI: 10.1016/j.schres.2014.09.047. View

5.
Latvala A, Kuja-Halkola R, Almqvist C, Larsson H, Lichtenstein P . A Longitudinal Study of Resting Heart Rate and Violent Criminality in More Than 700 000 Men. JAMA Psychiatry. 2015; 72(10):971-8. DOI: 10.1001/jamapsychiatry.2015.1165. View