Study types
- meta-analysis 3
- other 3
- article 2
Condition tags
- endometriosis 7
- infertility 4
- irritable_bowel_syndrome 1
Top journals
Frequent coauthors
STUDY QUESTION: Can a large-scale genome-wide association study (GWAS) meta-analysis identify genomic risk loci and likely involved genes for female genital tract (FGT) polyps, provide insights into the biological mechanism underlying their…
Genome-wide association studies (GWASs) may help inform the etiology of infertility. Here, we perform GWAS meta-analyses across seven cohorts in up to 42,629 cases and 740,619 controls and identify 25 genetic risk loci for male and female i…
Genome-wide association studies (GWASs) may help inform treatments for infertility, whose causes remain unknown in many cases. Here we present GWAS meta-analyses across six cohorts for male and female infertility in up to 41,200 cases and 6…
Identifying genetic determinants of reproductive success may highlight mechanisms underlying fertility and identify alleles under present-day selection. Using data in 785,604 individuals of European ancestry, we identified 43 genomic loci a…
Endometriosis is a common condition associated with debilitating pelvic pain and infertility. A genome-wide association study meta-analysis, including 60,674 cases and 701,926 controls of European and East Asian descent, identified 42 genom…
STUDY QUESTION: Do the spectrum and prevalence of comorbidities of endometriosis and irritable bowel syndrome (IBS) overlap? SUMMARY ANSWER: Despite several overlapping symptoms, the most significantly associated comorbidities of endometri…
The inner uterine lining (endometrium) is a unique tissue going through remarkable changes each menstrual cycle. Endometrium has its characteristic DNA methylation profile, although not much is known about the endometrial methylome changes …
Around 50% of endometriosis risk is due to genetic factors. Ten genome-wide significant loci have been associated with endometriosis, but most are located in intergenic regions of the genome. To understand how transcriptomic profiles are pe…