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Genetics and caging type affect birth weight in captive pigtailed macaques (Macaca nemestrina)
James C Ha1, Renee Robinette Ha, Laura Almasy
1Regional Primate Research Center and Psychology Department, University of Washington, Seattle, Washington 98195-7330, USA. jcha@u.washington.edu
American Journal of Primatology
|April 12, 2002
Summary
Birth weight in pigtailed macaques is substantially heritable, with both additive and cytoplasmic genetic factors contributing significantly. Environmental factors like birth location also influence this trait.
Area of Science:
- Primate Genetics
- Quantitative Genetics
- Animal Breeding
Background:
- Birth weight is a critical indicator of neonatal health and development.
- Understanding the genetic and environmental influences on birth weight is crucial for both animal and human health.
- Previous studies in humans are often confounded by complex environmental and social factors.
Purpose of the Study:
- To estimate the heritability of birth weight in captive pigtailed macaques.
- To quantify the contributions of additive genetic, cytoplasmic genetic, and environmental effects on birth weight.
- To utilize a nonhuman primate model to overcome confounding variables present in human studies.
Main Methods:
- Quantitative genetic analyses using statistical variance decomposition.
- Utilized 30 years of breeding and pedigree records from 3,562 pigtailed macaques.
- Model incorporated additive genetic, cytoplasmic genetic, birth environment, shared maternal environment, and unmeasured environmental effects.
Main Results:
- Overall heritability of birth weight was estimated at 0.51 (h(2)).
- Significant additive genetic heritability (h(2) = 0.23) and cytoplasmic heritability (h(2) = 0.09) were identified.
- Birth location and cage type explained an additional 6% of birth weight variance.
Conclusions:
- Birth weight in pigtailed macaques exhibits a strong heritable component.
- Both genetic (additive and cytoplasmic) and specific environmental factors influence birth weight.
- This primate model provides valuable insights into the genetic architecture of birth weight, applicable to understanding human traits.