| Effect of maternal and infant covariates on sibship correlation in birth weight. | |
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MedLine Citation:
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PMID: 3169527 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Birth weight on 12,644 singleton infants from 6,196 sibships born in Maryland between 1980 and 1984 were used to estimate the effects of nine maternal and infant covariates on the sibship correlation in birth weight. Assuming a homogeneous correlation across all families, the estimated intraclass correlation was 0.4664 (+/- 0.0099). This high sibship correlation makes it possible to predict, with reasonable accuracy, the birth weight of a child given information on previous sibs, as well as covariates on the mother and/or infant pertinent to a given pregnancy. The reduction in variance associated with incorporating information on the nine covariates used here was approximately equal to that obtained by conditioning on a single previous sib. Testing for heterogeneity in correlation among different groups of families showed that a crude measure of parity (first live birth vs. other), time between births, mother's marital status, and maternal age at the birth of the last child significantly influenced the sibship correlation in birth weight. |
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Authors:
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T H Beaty; P Yang; A Muñoz; M J Khoury |
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Publication Detail:
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Type: Journal Article; Research Support, U.S. Gov't, P.H.S. |
Journal Detail:
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Title: Genetic epidemiology Volume: 5 ISSN: 0741-0395 ISO Abbreviation: Genet. Epidemiol. Publication Date: 1988 |
Date Detail:
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Created Date: 1988-11-17 Completed Date: 1988-11-17 Revised Date: 2007-11-14 |
Medline Journal Info:
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Nlm Unique ID: 8411723 Medline TA: Genet Epidemiol Country: UNITED STATES |
Other Details:
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Languages: eng Pagination: 241-53 Citation Subset: IM |
Affiliation:
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Department of Epidemiology, Johns Hopkins University School of Hygiene, Baltimore, Maryland. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Adult Apgar Score Birth Weight* Continental Population Groups Female Genetics, Medical Gestational Age Humans Infant, Newborn Marriage Maternal Age Pregnancy Pregnancy Complications Prenatal Care Sex Factors |
| Grant Support | |
ID/Acronym/Agency:
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HL28872/HL/NHLBI NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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