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 language | English (US) |
|---|---|
| Pages (from-to) | 100-112 |
| Number of pages | 13 |
| Journal | Techniques in the Behavioral and Neural Sciences |
| Volume | 13 |
| Issue number | C |
| DOIs | |
| State | Published - 1999 |
| Externally published | Yes |
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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 journal › Article
}
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.
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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 -