Genome-wide analysis shows no genomic predictors of ovarian response to stimulation by exogenous FSH for IVF

Jeroen van Disseldorp; Lude Franke; Rene Eijkemans; Frank Broekmans; Nick Macklon; Cisca Wijmenga; Bart Fauser

doi:10.1016/j.rbmo.2010.12.006

Genome-wide analysis shows no genomic predictors of ovarian response to stimulation by exogenous FSH for IVF

Jeroen van Disseldorp^*, Lude Franke, Rene Eijkemans, Frank Broekmans, Nick Macklon, Cisca Wijmenga, Bart Fauser

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

21 Citations (Scopus)

Abstract

The current proof of principle study explores the possibility that a genetic single-nucleotide polymorphism (SNP) profile is associated with ovarian response to standardized stimulation for IVF using exogenous FSH. Such a pharmacogenomic approach could aid in rendering ovarian stimulation for IVF more tailored to the patient, potentially improving the delicate balance between efficacy, side effects and chances for complications. Genome-wide association (GWA) analysis using Illumina Human 610-Quad Bead-Chips was used in a homogeneous group of 102 healthy, Caucasian, regularly cycling, non-smoking women aged 38 years or less with a body mass index

Original language	English
Pages (from-to)	382-388
Number of pages	7
Journal	Reproductive Biomedicine Online
Volume	22
Issue number	4
DOIs	https://doi.org/10.1016/j.rbmo.2010.12.006
Publication status	Published - Apr-2011

Keywords

genes
genome-wide association study
IVF
ovarian response
ovarian stimulation
SINGLE NUCLEOTIDE POLYMORPHISM
HORMONE RECEPTOR POLYMORPHISMS
GENE
HYPERSTIMULATION
INFERTILITY
WOMEN
CYCLE
PHARMACOGENETICS
IDENTIFICATION
REPRODUCTION

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title = "Genome-wide analysis shows no genomic predictors of ovarian response to stimulation by exogenous FSH for IVF",

abstract = "The current proof of principle study explores the possibility that a genetic single-nucleotide polymorphism (SNP) profile is associated with ovarian response to standardized stimulation for IVF using exogenous FSH. Such a pharmacogenomic approach could aid in rendering ovarian stimulation for IVF more tailored to the patient, potentially improving the delicate balance between efficacy, side effects and chances for complications. Genome-wide association (GWA) analysis using Illumina Human 610-Quad Bead-Chips was used in a homogeneous group of 102 healthy, Caucasian, regularly cycling, non-smoking women aged 38 years or less with a body mass index",

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author = "{van Disseldorp}, Jeroen and Lude Franke and Rene Eijkemans and Frank Broekmans and Nick Macklon and Cisca Wijmenga and Bart Fauser",

year = "2011",

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doi = "10.1016/j.rbmo.2010.12.006",

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AU - van Disseldorp, Jeroen

AU - Franke, Lude

AU - Eijkemans, Rene

AU - Broekmans, Frank

AU - Macklon, Nick

AU - Wijmenga, Cisca

AU - Fauser, Bart

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AB - The current proof of principle study explores the possibility that a genetic single-nucleotide polymorphism (SNP) profile is associated with ovarian response to standardized stimulation for IVF using exogenous FSH. Such a pharmacogenomic approach could aid in rendering ovarian stimulation for IVF more tailored to the patient, potentially improving the delicate balance between efficacy, side effects and chances for complications. Genome-wide association (GWA) analysis using Illumina Human 610-Quad Bead-Chips was used in a homogeneous group of 102 healthy, Caucasian, regularly cycling, non-smoking women aged 38 years or less with a body mass index

KW - genes

KW - genome-wide association study

KW - IVF

KW - ovarian response

KW - ovarian stimulation

KW - SINGLE NUCLEOTIDE POLYMORPHISM

KW - HORMONE RECEPTOR POLYMORPHISMS

KW - GENE

KW - HYPERSTIMULATION

KW - INFERTILITY

KW - WOMEN

KW - CYCLE

KW - PHARMACOGENETICS

KW - IDENTIFICATION

KW - REPRODUCTION

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DO - 10.1016/j.rbmo.2010.12.006

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JO - Reproductive Biomedicine Online

JF - Reproductive Biomedicine Online

IS - 4

ER -

Genome-wide analysis shows no genomic predictors of ovarian response to stimulation by exogenous FSH for IVF

Abstract

Keywords

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