Genome-wide scans of genetic variants for psychophysiological endophenotypes: A methodological overview

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

This article provides an introductory overview of the investigative strategy employed to evaluate the genetic basis of 17 endophenotypes examined as part of a 20-year data collection effort from the Minnesota Center for Twin and Family Research. Included are characterization of the study samples, descriptive statistics for key properties of the psychophysiological measures, and rationale behind the steps taken in the molecular genetic study design. The statistical approach included (a) biometric analysis of twin and family data, (b) heritability analysis using 527,829 single nucleotide polymorphisms (SNPs), (c) genome-wide association analysis of these SNPs and 17,601 autosomal genes, (d) follow-up analyses of candidate SNPs and genes hypothesized to have an association with each endophenotype, (e) rare variant analysis of nonsynonymous SNPs in the exome, and (f) whole genome sequencing association analysis using 27 million genetic variants. These methods were used in the accompanying empirical articles comprising this special issue, Genome-Wide Scans of Genetic Variants for Psychophysiological Endophenotypes.

Original languageEnglish (US)
Pages (from-to)1207-1224
Number of pages18
JournalPsychophysiology
Volume51
Issue number12
DOIs
StatePublished - Dec 1 2014

Keywords

  • Biometric modeling
  • Endophenotype
  • Exome chip
  • Genome-wide association study
  • Genome-wide complex trait analysis
  • Whole genome sequencing

Fingerprint Dive into the research topics of 'Genome-wide scans of genetic variants for psychophysiological endophenotypes: A methodological overview'. Together they form a unique fingerprint.

Cite this