Lindsay Guare

ORCID: 0000-0001-6988-5319 · 14 papers in corpus
observational 2026
Journal of Minimally Invasive Gynecology ·doi:10.1016/j.jmig.2026.02.010

STUDY OBJECTIVE: To evaluate differences in the likelihood of endometriosis or adenomyosis diagnosis across genetically-defined ancestry groups (African, Admixed American, East Asian, European, and South Asian), and to determine whether soc…

2026
·doi:10.5281/zenodo.21681814

No description provided.

2026
·doi:10.5281/zenodo.21681815

No description provided.

other 2026
·doi:10.64898/2026.08.25.26361263

Transcriptome-wide association studies (TWAS) can identify genes where genetically predicted gene expression is associated with disease risk, but translating those signals into therapeutic opportunities remains time-consuming, manual, and d…

other 2025
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing ·doi:10.1142/9789819824755_0060

Multi-omics data are instrumental in obtaining a comprehensive picture of complex biological systems. This is particularly useful for women's health conditions such as endometriosis, which has been historically understudied despite having a…

other 2025
medRxiv : the preprint server for health sciences ·doi:10.1101/2025.08.19.25333942

Multi-omics data are instrumental in obtaining a comprehensive picture of complex biological systems. This is particularly useful for women's health conditions, such as endometriosis which has been historically understudied despite having a…

other 2025
Research square ·doi:10.21203/rs.3.rs-8116602/v1

We report the findings of a genome-wide association study (GWAS) meta-analysis of endometriosis across 14 biobanks worldwide, including 32% non-European patient participants, as part of the Global Biobank Meta-Analysis Initiative (GBMI). Ou…

2025
·doi:10.1016/j.fertnstert.2025.07.167
observational 2025
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing ·doi:10.1142/9789819807024_0022

Women's health conditions are influenced by both genetic and environmental factors. Understanding these factors individually and their interactions is crucial for implementing preventative, personalized medicine. However, since genetics and…

observational 2024
Research square ·doi:10.21203/rs.3.rs-5004325/v1

Endometriosis is a complex and heterogeneous condition affecting 10% of reproductive-age women, and yet, it often goes undiagnosed for several years. Limited observed heritability (7%) of large genetic association studies may be attributabl…

observational 2024
medRxiv : the preprint server for health sciences ·doi:10.1101/2024.04.22.24306092

BACKGROUND: Endometriosis affects 10% of reproductive-age women, and yet, it goes undiagnosed for 3.6 years on average after symptoms onset. Despite large GWAS meta-analyses (N > 750,000), only a few dozen causal loci have been identified. …

other 2024
medRxiv : the preprint server for health sciences ·doi:10.1101/2024.11.26.24316723

We report the findings of a genome-wide association study (GWAS) meta-analysis of endometriosis consisting of a large portion (31%) of non-European samples across 14 biobanks worldwide as part of the Global Biobank Meta-Analysis Initiative …

2024
·doi:10.1016/j.fertnstert.2024.07.296
2023
·doi:10.1016/j.fertnstert.2023.08.910