Literature DB >> 16093287

Evaluation of offspring and maternal genetic effects on disease risk using a family-based approach: the "pent" design.

Laura E Mitchell1, Clarice R Weinberg.   

Abstract

Diseases that develop during gestation may be influenced by the genotype of the mother and the inherited genotype of the embryo/fetus. However, given the correlation between maternal and offspring genotypes, differentiating between inherited and maternal genetic effects is not straightforward. The two-step transmission disequilibrium test was the first, family-based test proposed for the purpose of differentiating between maternal and offspring genetic effects. However, this approach, which requires data from "pents" comprising an affected child, mother, father, and maternal grandparents, provides biased tests for maternal genetic effects when the offspring genotype is associated with disease. An alternative approach based on transmissions from grandparents provides unbiased tests for maternal and offspring genetic effects but requires genotype information for paternal grandparents in addition to pents. The authors have developed two additional, pent-based approaches for the evaluation of maternal and offspring genetic effects. One approach requires the assumption of genetic mating type symmetry (pent-1), whereas the other does not (pent-2). Simulation studies demonstrate that both of these approaches provide valid estimation and testing for offspring and maternal genotypic effects. In addition, the power of the pent-1 approach is comparable with that of the approach based on data using all four grandparents.

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Year:  2005        PMID: 16093287     DOI: 10.1093/aje/kwi249

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  16 in total

1.  Maternal and fetal variation in genes of cholesterol metabolism is associated with preterm delivery.

Authors:  K M Steffen; M E Cooper; M Shi; D Caprau; H N Simhan; J M Dagle; M L Marazita; J C Murray
Journal:  J Perinatol       Date:  2007-09-13       Impact factor: 2.521

2.  Fetal and maternal genes' influence on gestational age in a quantitative genetic analysis of 244,000 Swedish births.

Authors:  Timothy P York; Lindon J Eaves; Paul Lichtenstein; Michael C Neale; Anna Svensson; Shawn Latendresse; Niklas Långström; Jerome F Strauss
Journal:  Am J Epidemiol       Date:  2013-04-07       Impact factor: 4.897

3.  Genome-wide association study of maternal and inherited effects on left-sided cardiac malformations.

Authors:  Laura E Mitchell; A J Agopian; Angela Bhalla; Joseph T Glessner; Cecilia E Kim; Michael D Swartz; Hakon Hakonarson; Elizabeth Goldmuntz
Journal:  Hum Mol Genet       Date:  2014-08-18       Impact factor: 6.150

4.  Associations between maternal genotypes and metabolites implicated in congenital heart defects.

Authors:  Shimul Chowdhury; Charlotte A Hobbs; Stewart L MacLeod; Mario A Cleves; Stepan Melnyk; S Jill James; Ping Hu; Stephen W Erickson
Journal:  Mol Genet Metab       Date:  2012-09-27       Impact factor: 4.797

5.  Genome-Wide Association Studies and Meta-Analyses for Congenital Heart Defects.

Authors:  A J Agopian; Elizabeth Goldmuntz; Hakon Hakonarson; Anshuman Sewda; Deanne Taylor; Laura E Mitchell
Journal:  Circ Cardiovasc Genet       Date:  2017-06

6.  Variants of folate metabolism genes and risk of left-sided cardiac defects.

Authors:  Laura E Mitchell; Jin Long; Jennifer Garbarini; Prasuna Paluru; Elizabeth Goldmuntz
Journal:  Birth Defects Res A Clin Mol Teratol       Date:  2010-01

7.  Detection of fetomaternal genotype associations in early-onset disorders: evaluation of different methods and their application to childhood leukemia.

Authors:  Jasmine Healy; Mathieu Bourgey; Chantal Richer; Daniel Sinnett; Marie-Helene Roy-Gagnon
Journal:  J Biomed Biotechnol       Date:  2010-06-09

8.  Gene-gene interactions in the folate metabolic pathway and the risk of conotruncal heart defects.

Authors:  Philip J Lupo; Elizabeth Goldmuntz; Laura E Mitchell
Journal:  J Biomed Biotechnol       Date:  2010-01-12

9.  A likelihood model that accounts for censoring due to fetal loss can accurately test the effects of maternal and fetal genotype on the probability of miscarriage.

Authors:  Colin I O'Donnell; Charles J Glueck; Tasha E Fingerlin; Deborah H Glueck
Journal:  Hum Hered       Date:  2008-10-17       Impact factor: 0.444

10.  A case-parent triad assessment of folate metabolic genes and the risk of childhood acute lymphoblastic leukemia.

Authors:  Philip J Lupo; Darryl Nousome; Kala Y Kamdar; M Fatih Okcu; Michael E Scheurer
Journal:  Cancer Causes Control       Date:  2012-09-01       Impact factor: 2.506

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