Abstract
A variance decomposition analysis using maximum likelihood methods was employed to examine the genetic architecture of sexual dimorphism in anthropometric traits in a large pedigreed sample of Mexican American individuals from San Antonio, Texas. For this analysis the magnitude of sexual dimorphism was viewed as arising from a special case of genotype by environment interaction (G × E), that of genotype by sex (G × S). Evidence indicates a marked G × S interaction for 9 of the 12 traits examined and 1 of the 4 indices, findings which are interpreted as indicators of a strong genetic component to the degree of sexual dimorphism expressed in these traits. Such results have important implications for the use and interpretation of these traits in an epidemiological as well as an evolutionary context. © 1993 Wiley‐Liss, Inc.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 725-734 |
| Number of pages | 10 |
| Journal | American Journal of Human Biology |
| Volume | 5 |
| Issue number | 6 |
| DOIs | |
| State | Published - 1993 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Anatomy
- Ecology, Evolution, Behavior and Systematics
- Anthropology
- Genetics
Cite this
Quantitative genetics of sexual dimorphism in body fat measurements. / Comuzzie, Anthony G.; Blangero, John; Mahaney, Michael C.; Mitchell, Braxton D.; Stern, Michael P.; Maccluer, Jean W.
In: American Journal of Human Biology, Vol. 5, No. 6, 1993, p. 725-734.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Quantitative genetics of sexual dimorphism in body fat measurements
AU - Comuzzie, Anthony G.
AU - Blangero, John
AU - Mahaney, Michael C.
AU - Mitchell, Braxton D.
AU - Stern, Michael P.
AU - Maccluer, Jean W.
PY - 1993
Y1 - 1993
N2 - A variance decomposition analysis using maximum likelihood methods was employed to examine the genetic architecture of sexual dimorphism in anthropometric traits in a large pedigreed sample of Mexican American individuals from San Antonio, Texas. For this analysis the magnitude of sexual dimorphism was viewed as arising from a special case of genotype by environment interaction (G × E), that of genotype by sex (G × S). Evidence indicates a marked G × S interaction for 9 of the 12 traits examined and 1 of the 4 indices, findings which are interpreted as indicators of a strong genetic component to the degree of sexual dimorphism expressed in these traits. Such results have important implications for the use and interpretation of these traits in an epidemiological as well as an evolutionary context. © 1993 Wiley‐Liss, Inc.
AB - A variance decomposition analysis using maximum likelihood methods was employed to examine the genetic architecture of sexual dimorphism in anthropometric traits in a large pedigreed sample of Mexican American individuals from San Antonio, Texas. For this analysis the magnitude of sexual dimorphism was viewed as arising from a special case of genotype by environment interaction (G × E), that of genotype by sex (G × S). Evidence indicates a marked G × S interaction for 9 of the 12 traits examined and 1 of the 4 indices, findings which are interpreted as indicators of a strong genetic component to the degree of sexual dimorphism expressed in these traits. Such results have important implications for the use and interpretation of these traits in an epidemiological as well as an evolutionary context. © 1993 Wiley‐Liss, Inc.
UR - http://www.scopus.com/inward/record.url?scp=84995205483&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84995205483&partnerID=8YFLogxK
U2 - 10.1002/ajhb.1310050616
DO - 10.1002/ajhb.1310050616
M3 - Article
AN - SCOPUS:84995205483
VL - 5
SP - 725
EP - 734
JO - American Journal of Human Biology
JF - American Journal of Human Biology
SN - 1042-0533
IS - 6
ER -