Genetics in psychosomatic medicine

Research designs and statistical approaches

Jeanne M. McCaffery, Harold Snieder, Yanbin Dong, Eco De Geus

Research output: Contribution to journalReview article

21 Citations (Scopus)

Abstract

It has become increasingly clear that genetic factors influence many of the behaviors and disease endpoints of interest to psychosomatic medicine researchers. There has been increasing interest in incorporating genetic variation markers into psychosomatic research. In this Statistical Corner article, we build on the valuable experiences gained during two workshops for "starters in the field" at the American Psychosomatic Society and the Society for Psychophysiological Research to review two common genetically informative research designs for human studies: twin and genetic association studies. We outline statistical techniques for each and, for genetic association studies, address special topics, including the treatment of race and ethnicity, gene × gene and gene × environment interaction, haplotype analysis, and power and sample size. Finally, we discuss the issue of nonreplication and interpretation of results derived from genetic association studies. We hope this overview of twin and genetic association designs will support and stimulate thoughtful applications of genetic approaches within psychosomatic medicine.

Original languageEnglish (US)
Pages (from-to)206-216
Number of pages11
JournalPsychosomatic Medicine
Volume69
Issue number2
DOIs
StatePublished - Feb 1 2007

Fingerprint

Psychosomatic Medicine
Genetic Association Studies
Research Design
Gene-Environment Interaction
Twin Studies
Genetic Markers
Research
Sample Size
Haplotypes
Genes
Research Personnel
Education
Therapeutics

Keywords

  • Genetics
  • Statistics
  • Twin studies

ASJC Scopus subject areas

  • Applied Psychology
  • Psychiatry and Mental health

Cite this

Genetics in psychosomatic medicine : Research designs and statistical approaches. / McCaffery, Jeanne M.; Snieder, Harold; Dong, Yanbin; De Geus, Eco.

In: Psychosomatic Medicine, Vol. 69, No. 2, 01.02.2007, p. 206-216.

Research output: Contribution to journalReview article

McCaffery, Jeanne M. ; Snieder, Harold ; Dong, Yanbin ; De Geus, Eco. / Genetics in psychosomatic medicine : Research designs and statistical approaches. In: Psychosomatic Medicine. 2007 ; Vol. 69, No. 2. pp. 206-216.
@article{d4187ad37d134010b456eb91c409013d,
title = "Genetics in psychosomatic medicine: Research designs and statistical approaches",
abstract = "It has become increasingly clear that genetic factors influence many of the behaviors and disease endpoints of interest to psychosomatic medicine researchers. There has been increasing interest in incorporating genetic variation markers into psychosomatic research. In this Statistical Corner article, we build on the valuable experiences gained during two workshops for {"}starters in the field{"} at the American Psychosomatic Society and the Society for Psychophysiological Research to review two common genetically informative research designs for human studies: twin and genetic association studies. We outline statistical techniques for each and, for genetic association studies, address special topics, including the treatment of race and ethnicity, gene × gene and gene × environment interaction, haplotype analysis, and power and sample size. Finally, we discuss the issue of nonreplication and interpretation of results derived from genetic association studies. We hope this overview of twin and genetic association designs will support and stimulate thoughtful applications of genetic approaches within psychosomatic medicine.",
keywords = "Genetics, Statistics, Twin studies",
author = "McCaffery, {Jeanne M.} and Harold Snieder and Yanbin Dong and {De Geus}, Eco",
year = "2007",
month = "2",
day = "1",
doi = "10.1097/PSY.0b013e31802f5dd4",
language = "English (US)",
volume = "69",
pages = "206--216",
journal = "Psychosomatic Medicine",
issn = "0033-3174",
publisher = "Lippincott Williams and Wilkins",
number = "2",

}

TY - JOUR

T1 - Genetics in psychosomatic medicine

T2 - Research designs and statistical approaches

AU - McCaffery, Jeanne M.

AU - Snieder, Harold

AU - Dong, Yanbin

AU - De Geus, Eco

PY - 2007/2/1

Y1 - 2007/2/1

N2 - It has become increasingly clear that genetic factors influence many of the behaviors and disease endpoints of interest to psychosomatic medicine researchers. There has been increasing interest in incorporating genetic variation markers into psychosomatic research. In this Statistical Corner article, we build on the valuable experiences gained during two workshops for "starters in the field" at the American Psychosomatic Society and the Society for Psychophysiological Research to review two common genetically informative research designs for human studies: twin and genetic association studies. We outline statistical techniques for each and, for genetic association studies, address special topics, including the treatment of race and ethnicity, gene × gene and gene × environment interaction, haplotype analysis, and power and sample size. Finally, we discuss the issue of nonreplication and interpretation of results derived from genetic association studies. We hope this overview of twin and genetic association designs will support and stimulate thoughtful applications of genetic approaches within psychosomatic medicine.

AB - It has become increasingly clear that genetic factors influence many of the behaviors and disease endpoints of interest to psychosomatic medicine researchers. There has been increasing interest in incorporating genetic variation markers into psychosomatic research. In this Statistical Corner article, we build on the valuable experiences gained during two workshops for "starters in the field" at the American Psychosomatic Society and the Society for Psychophysiological Research to review two common genetically informative research designs for human studies: twin and genetic association studies. We outline statistical techniques for each and, for genetic association studies, address special topics, including the treatment of race and ethnicity, gene × gene and gene × environment interaction, haplotype analysis, and power and sample size. Finally, we discuss the issue of nonreplication and interpretation of results derived from genetic association studies. We hope this overview of twin and genetic association designs will support and stimulate thoughtful applications of genetic approaches within psychosomatic medicine.

KW - Genetics

KW - Statistics

KW - Twin studies

UR - http://www.scopus.com/inward/record.url?scp=33847737370&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33847737370&partnerID=8YFLogxK

U2 - 10.1097/PSY.0b013e31802f5dd4

DO - 10.1097/PSY.0b013e31802f5dd4

M3 - Review article

VL - 69

SP - 206

EP - 216

JO - Psychosomatic Medicine

JF - Psychosomatic Medicine

SN - 0033-3174

IS - 2

ER -