Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

Endometriosis is a common, chronic gynaecological disease affecting up to 10% of women in their reproductive years. Its aetiology still remains unclear, but evidence indicates genetic factors play a role. We previously identified a region of significant linkage on chromosome 7 in 52 families comprising at least three affected women, stretching ∼6.4 Mb. We screened coding regions and parts of the regulatory regions of three candidate genes with a known role in endometrial development and function-INHBA, SFRP4 and HOXA10-located under or very near the linkage peak, for potential causal mutations using Sanger sequencing. Sequencing was conducted in 47 cases from the 15 families contributing most to the linkage signal (Z(mean) ≥ 1). Minor allele frequencies (MAFs) of observed variants were compared with MAFs from two publicly available reference populations of European ancestry: 60 individuals in HapMap and 150 individuals in the 1000 Genomes Project. A total of 11 variants were found, 5 (45%) of which were common (MAF > 0.05) among the 15 case families and the reference populations (P-values for MAF difference: 0.88-1.00). The remaining six were rare and unlikely to be individually or cumulatively responsible for the linkage signal. The results indicate that the coding regions of these three genes do not harbour mutations responsible for linkage to endometriosis in these families.

Original publication




Journal article


Mol Hum Reprod

Publication Date





605 - 611


Chromosomes, Human, Pair 7, Endometriosis, Female, Gene Frequency, Genetic Linkage, Genetic Predisposition to Disease, Genetic Testing, Genome, Human, Genome-Wide Association Study, HapMap Project, Homeodomain Proteins, Humans, Inhibin-beta Subunits, Pedigree, Polymorphism, Single Nucleotide, Proto-Oncogene Proteins, Sequence Analysis, DNA