Literature DB >> 22736329

High twinning rate in Cândido Godói: a new role for p53 in human fertility.

A Tagliani-Ribeiro1, D D Paskulin, M Oliveira, M Zagonel-Oliveira, D Longo, V Ramallo, P Ashton-Prolla, M L Saraiva-Pereira, N J R Fagundes, L Schuler-Faccini, U Matte.   

Abstract

BACKGROUND: Cândido Godói (CG) is a small town in South Brazil, which has the highest prevalence of twin births in Brazil. Recently, a number of studies have shown that p53 plays an important role in reproduction through blastocyst implantation and intra utero embryo survival. Thus, gene polymorphisms in the p53 pathway were investigated in this population.
METHODS: Single nucleotide polymorphisms from five genes in the p53 pathway were investigated, as well as background characteristics of 42 mothers of twins (cases) and 101 mothers of singletons (controls), all residents from CG.
RESULTS: Mothers of twins have higher number of pregnancies and higher frequencies of P72 allele at TP53 and T allele at MDM4 genes compared with controls. Logistic regression shows that both TP53 and number of pregnancies maintained their association with twinning (P =0.004 and P =0.002, respectively), with TP53 having a higher odds ratio than number of pregnancies (2.73 versus 1.70, respectively). No interactive effect between TP53 and MDM4 (P =0.966) is observed. As expected, mothers of twins have three times more cases of cancer in their first-degree relatives than control mothers (P =0.011).
CONCLUSIONS: Our results suggest that the P72 allele of TP53 is a strong risk factor for twinning in CG, while the number of pregnancies and the T allele at MDM4 may represent weaker risk factors. These two alleles are associated with infertility, but the anti-apoptotic effect of low levels of p53 in general, and of the P72 allele in particular, may play a role after implantation, enhancing the chance for a double pregnancy to succeed to term.

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Year:  2012        PMID: 22736329     DOI: 10.1093/humrep/des217

Source DB:  PubMed          Journal:  Hum Reprod        ISSN: 0268-1161            Impact factor:   6.918


  6 in total

1.  Mothers with higher twinning propensity had lower fertility in pre-industrial Europe.

Authors:  Ian J Rickard; Colin Vullioud; François Rousset; Erik Postma; Samuli Helle; Virpi Lummaa; Ritva Kylli; Jenni E Pettay; Eivin Røskaft; Gine R Skjærvø; Charlotte Störmer; Eckart Voland; Dominique Waldvogel; Alexandre Courtiol
Journal:  Nat Commun       Date:  2022-05-24       Impact factor: 17.694

2.  The TP53 fertility network.

Authors:  Diego d'Avila Paskulin; Vanessa Rodrigues Paixão-Côrtes; Pierre Hainaut; Maria Cátira Bortolini; Patricia Ashton-Prolla
Journal:  Genet Mol Biol       Date:  2012-12-18       Impact factor: 1.771

3.  RELAGH - The challenge of having a scientific network in Latin America: An account from the presidents.

Authors:  Augusto Rojas-Martínez; Alejandro Giraldo-Ríos; Gerardo Jiménez-Arce; Aída Falcón de Vargas; Roberto Giugliani
Journal:  Genet Mol Biol       Date:  2014-03       Impact factor: 1.771

4.  Twin Peaks: A spatial and temporal study of twinning rates in Brazil.

Authors:  Augusto César Cardoso-Dos-Santos; Juliano Boquett; Marcelo Zagonel de Oliveira; Sidia Maria Callegari-Jacques; Márcia Helena Barbian; Maria Teresa Vieira Sanseverino; Ursula Matte; Lavínia Schuler-Faccini
Journal:  PLoS One       Date:  2018-07-20       Impact factor: 3.240

5.  Lack of association between genetic polymorphisms in IGF1 and IGFBP3 with twin births in a Brazilian population (Cândido Godói, Rio Grande do Sul).

Authors:  Mariana de Oliveira-Klein; Augusto César Cardoso-Dos-Santos; Alice Tagliani-Ribeiro; Nelson Rosa Fagundes; Ursula Matte; Lavinia Schuler-Faccini
Journal:  Genet Mol Biol       Date:  2018-11-29       Impact factor: 1.771

6.  Population medical genetics: translating science to the community.

Authors:  Roberto Giugliani; Fernanda Bender; Rowena Couto; Aline Bochernitsan; Ana Carolina Brusius-Facchin; Maira Burin; Tatiana Amorim; Angelina Xavier Acosta; Antônio Purificação; Sandra Leistner-Segal; Maria Luiza Saraiva-Pereira; Laura Bannach Jardim; Ursula Matte; Mariluce Riegel; Augusto César Cardoso-Dos-Santos; Graziella Rodrigues; Marcelo Zagonel de Oliveira; Alice Tagliani-Ribeiro; Selia Heck; Vanusa Dresch; Lavínia Schuler-Faccini; Francyne Kubaski
Journal:  Genet Mol Biol       Date:  2019-04-11       Impact factor: 1.771

  6 in total

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