Chapter 2.1.3 Linkage strategies for mapping genes for complex traits in man

Laura Almasy, John Blangero

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Linkage strategies for analyzing complex traits in man differ from the more classical Mendelian linkage methods in that no knowledge of the inheritance pattern of the trait or the characteristics of the responsible gene are required. The so-called non-parametric statistical methods developed to study complex traits derive their genetic information from IBD allele sharing among relatives. The choice of which method to use depends on the nature and prevalence of the phenotype. If the trait of interest can be measured quantitatively that will provide more power to detect linkage than dichotomous versions of the same trait. For quantitative traits or common discrete traits, variance component methods in large pedigrees will provide the most power. For discrete traits with a prevalence of less than 10%, affected relative pair methods are most efficient. Ascertain- ment will maximize power for a single focal trait, but should be conducted in a systematic manner with identifiable probands. For studies of multiple related traits that are common or quantitative, random sampling is most efficient. While candidate genes of known functional relevance should be tested, a complete genome screen with evenly-spaced, highly polymorphic markers presents the greatest chance of success. Positional candidate regions identified through such a screen may then be followed up with family-based disequilibrium analyses for finer QTL mapping.

Original languageEnglish (US)
Pages (from-to)100-112
Number of pages13
JournalTechniques in the Behavioral and Neural Sciences
Volume13
Issue numberC
DOIs
StatePublished - 1999
Externally publishedYes

Fingerprint

Chromosome Mapping
Genes
Inheritance Patterns
Pedigree
Alleles
Genome
Phenotype
Power (Psychology)

ASJC Scopus subject areas

  • Behavioral Neuroscience

Cite this

Chapter 2.1.3 Linkage strategies for mapping genes for complex traits in man. / Almasy, Laura; Blangero, John.

In: Techniques in the Behavioral and Neural Sciences, Vol. 13, No. C, 1999, p. 100-112.

Research output: Contribution to journalArticle

@article{ec577ab9e7744073bb1d67b71c1d4225,
title = "Chapter 2.1.3 Linkage strategies for mapping genes for complex traits in man",
abstract = "Linkage strategies for analyzing complex traits in man differ from the more classical Mendelian linkage methods in that no knowledge of the inheritance pattern of the trait or the characteristics of the responsible gene are required. The so-called non-parametric statistical methods developed to study complex traits derive their genetic information from IBD allele sharing among relatives. The choice of which method to use depends on the nature and prevalence of the phenotype. If the trait of interest can be measured quantitatively that will provide more power to detect linkage than dichotomous versions of the same trait. For quantitative traits or common discrete traits, variance component methods in large pedigrees will provide the most power. For discrete traits with a prevalence of less than 10{\%}, affected relative pair methods are most efficient. Ascertain- ment will maximize power for a single focal trait, but should be conducted in a systematic manner with identifiable probands. For studies of multiple related traits that are common or quantitative, random sampling is most efficient. While candidate genes of known functional relevance should be tested, a complete genome screen with evenly-spaced, highly polymorphic markers presents the greatest chance of success. Positional candidate regions identified through such a screen may then be followed up with family-based disequilibrium analyses for finer QTL mapping.",
author = "Laura Almasy and John Blangero",
year = "1999",
doi = "10.1016/S0921-0709(99)80011-X",
language = "English (US)",
volume = "13",
pages = "100--112",
journal = "Handbook of Behavioral Neuroscience",
issn = "1569-7339",
publisher = "Elsevier",
number = "C",

}

TY - JOUR

T1 - Chapter 2.1.3 Linkage strategies for mapping genes for complex traits in man

AU - Almasy, Laura

AU - Blangero, John

PY - 1999

Y1 - 1999

N2 - Linkage strategies for analyzing complex traits in man differ from the more classical Mendelian linkage methods in that no knowledge of the inheritance pattern of the trait or the characteristics of the responsible gene are required. The so-called non-parametric statistical methods developed to study complex traits derive their genetic information from IBD allele sharing among relatives. The choice of which method to use depends on the nature and prevalence of the phenotype. If the trait of interest can be measured quantitatively that will provide more power to detect linkage than dichotomous versions of the same trait. For quantitative traits or common discrete traits, variance component methods in large pedigrees will provide the most power. For discrete traits with a prevalence of less than 10%, affected relative pair methods are most efficient. Ascertain- ment will maximize power for a single focal trait, but should be conducted in a systematic manner with identifiable probands. For studies of multiple related traits that are common or quantitative, random sampling is most efficient. While candidate genes of known functional relevance should be tested, a complete genome screen with evenly-spaced, highly polymorphic markers presents the greatest chance of success. Positional candidate regions identified through such a screen may then be followed up with family-based disequilibrium analyses for finer QTL mapping.

AB - Linkage strategies for analyzing complex traits in man differ from the more classical Mendelian linkage methods in that no knowledge of the inheritance pattern of the trait or the characteristics of the responsible gene are required. The so-called non-parametric statistical methods developed to study complex traits derive their genetic information from IBD allele sharing among relatives. The choice of which method to use depends on the nature and prevalence of the phenotype. If the trait of interest can be measured quantitatively that will provide more power to detect linkage than dichotomous versions of the same trait. For quantitative traits or common discrete traits, variance component methods in large pedigrees will provide the most power. For discrete traits with a prevalence of less than 10%, affected relative pair methods are most efficient. Ascertain- ment will maximize power for a single focal trait, but should be conducted in a systematic manner with identifiable probands. For studies of multiple related traits that are common or quantitative, random sampling is most efficient. While candidate genes of known functional relevance should be tested, a complete genome screen with evenly-spaced, highly polymorphic markers presents the greatest chance of success. Positional candidate regions identified through such a screen may then be followed up with family-based disequilibrium analyses for finer QTL mapping.

UR - http://www.scopus.com/inward/record.url?scp=77956699700&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77956699700&partnerID=8YFLogxK

U2 - 10.1016/S0921-0709(99)80011-X

DO - 10.1016/S0921-0709(99)80011-X

M3 - Article

AN - SCOPUS:77956699700

VL - 13

SP - 100

EP - 112

JO - Handbook of Behavioral Neuroscience

JF - Handbook of Behavioral Neuroscience

SN - 1569-7339

IS - C

ER -