Literature DB >> 19470478

Single-nucleotide polymorphisms in the p53 pathway regulate fertility in humans.

Hey-Joo Kang1, Zhaohui Feng, Yvonne Sun, Gurinder Atwal, Maureen E Murphy, Timothy R Rebbeck, Zev Rosenwaks, Arnold J Levine, Wenwei Hu.   

Abstract

The tumor suppressor protein p53 plays an important role in maternal reproduction in mice through transcriptional regulation of leukemia inhibitory factor (LIF), a cytokine crucial for blastocyst implantation. To determine whether these observations could be extended to humans, a list of single-nucleotide polymorphisms (SNPs) in the p53 pathway that can modify the function of p53 was assembled and used to study their impact on human fertility. The p53 allele encoding proline at codon 72 (P72) was found to be significantly enriched over the allele encoding arginine (R72) among in vitro fertilization (IVF) patients. The P72 allele serves as a risk factor for implantation failure. LIF levels are significantly lower in cells with the P72 allele than in cells with the R72 allele, which may contribute to the decreased implantation and fertility associated with the P72 allele. Selected alleles in SNPs in LIF, Mdm2, Mdm4, and Hausp genes, each of which regulates p53 levels in cells, are also enriched in IVF patients. Interestingly, the role of these SNPs on fertility was much reduced or absent in patients older than 35 years of age, indicating that other functions may play a more important role in infertility in older women. The association of SNPs in the p53 pathway with human fertility suggests that p53 regulates the efficiency of human reproduction. These results also provide a plausible explanation for the evolutionary positive selection of some alleles in the p53 pathway and demonstrate the alleles in the p53 pathway as a good example of antagonistic pleiotropy.

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Year:  2009        PMID: 19470478      PMCID: PMC2700980          DOI: 10.1073/pnas.0904280106

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  22 in total

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Journal:  Fam Plann Perspect       Date:  1996 Jan-Feb

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Journal:  Endocrinology       Date:  2000-12       Impact factor: 4.736

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Journal:  Exp Gerontol       Date:  2005 Jan-Feb       Impact factor: 4.032

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Journal:  J Pathol       Date:  1999-01       Impact factor: 7.996

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7.  Relationship between maternal age and aneuploidy in in vitro fertilization pregnancy loss.

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Journal:  Fertil Steril       Date:  2008-10-17       Impact factor: 7.329

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Journal:  Nat Genet       Date:  2003-02-03       Impact factor: 38.330

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  76 in total

Review 1.  Single-nucleotide polymorphisms in the p53 signaling pathway.

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Journal:  Cold Spring Harb Perspect Biol       Date:  2009-12-09       Impact factor: 10.005

Review 2.  The role of p53 gene family in reproduction.

Authors:  Wenwei Hu
Journal:  Cold Spring Harb Perspect Biol       Date:  2009-10-28       Impact factor: 10.005

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Authors:  Vladimir A Belyi; Prashanth Ak; Elke Markert; Haijian Wang; Wenwei Hu; Anna Puzio-Kuter; Arnold J Levine
Journal:  Cold Spring Harb Perspect Biol       Date:  2009-12-16       Impact factor: 10.005

Review 4.  p53 at a glance.

Authors:  Colleen A Brady; Laura D Attardi
Journal:  J Cell Sci       Date:  2010-08-01       Impact factor: 5.285

5.  The p53 Codon 72 Polymorphism Modifies the Cellular Response to Inflammatory Challenge in the Liver.

Authors:  Julia I-Ju Leu; Maureen E Murphy; Donna L George
Journal:  J Liver       Date:  2013

Review 6.  The p53 orchestra: Mdm2 and Mdmx set the tone.

Authors:  Mark Wade; Yunyuan V Wang; Geoffrey M Wahl
Journal:  Trends Cell Biol       Date:  2010-02-19       Impact factor: 20.808

7.  Negative effect of P72 polymorphism on p53 gene in IVF outcome in patients with repeated implantation failure and pregnancy loss.

Authors:  Belén Lledo; Azahara Turienzo; Jose A Ortiz; Ruth Morales; Jorge Ten; Joaquin Llácer; Rafael Bernabeu
Journal:  J Assist Reprod Genet       Date:  2013-12-11       Impact factor: 3.412

8.  Guilty as CHARGED: p53's expanding role in disease.

Authors:  Jeanine L Van Nostrand; Laura D Attardi
Journal:  Cell Cycle       Date:  2014       Impact factor: 4.534

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Authors:  Jeeyeon Cha; Xiaofei Sun; Sudhansu K Dey
Journal:  Nat Med       Date:  2012-12       Impact factor: 53.440

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Authors:  Arnold J Levine; Moshe Oren
Journal:  Nat Rev Cancer       Date:  2009-10       Impact factor: 60.716

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