Sisse R. Ostrowski

1 month ago | nature.com | Samvida Venkatesh |Duncan Palmer |Nikolas Baya |Melody Parker |Mie T Bruun |Christian Erikstrup | +29 more

AbstractGenome-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 infertility. We additionally identify up to 269 genetic loci associated with follicle-stimulating hormone, luteinizing hormone, estradiol and testosterone through sex-specific GWAS meta-analyses (n = 6,095–246,862).

May 26, 2024 | nature.com | Bendik S Winsvold |Henrik Hjalgrim |Sisse R. Ostrowski |Christian Erikstrup |Mie Topholm Bruun |Ole Birger Pedersen | +7 more

AbstractHeadache disorders are the most common disorders of the nervous system. The lifetime prevalence of headache disorders show that some individuals never experience headache. The etiology of complete freedom from headache is not known. To assess genetic variants associated with complete freedom from headache, we performed a genome-wide association study of individuals who have never experienced a headache.

Oct 26, 2023 | nature.com | Gyda Bjornsdottir |Mona A. Chalmer |Astros Th. Skuladottir |Gudmundur Einarsson |Egil Ferkingstad |Solveig Gretarsdottir | +27 more

AbstractMigraine is a complex neurovascular disease with a range of severity and symptoms, yet mostly studied as one phenotype in genome-wide association studies (GWAS). Here we combine large GWAS datasets from six European populations to study the main migraine subtypes, migraine with aura (MA) and migraine without aura (MO). We identified four new MA-associated variants (in PRRT2, PALMD, ABO and LRRK2) and classified 13 MO-associated variants.

Oct 16, 2023 | nature.com | Tanmoy Roychowdhury |Derek Klarin |Michael Levin |Joshua M. Spin |Colwyn A. Headley |Noah Tsao | +44 more

AbstractAbdominal aortic aneurysm (AAA) is a common disease with substantial heritability. In this study, we performed a genome-wide association meta-analysis from 14 discovery cohorts and uncovered 141 independent associations, including 97 previously unreported loci. A polygenic risk score derived from meta-analysis explained AAA risk beyond clinical risk factors.

Oct 5, 2023 | nature.com | Robin Beaumont |Christopher Flatley |Marc Vaudel |JING CHEN |Gunn-Helen Moen |Line Skotte | +52 more

AbstractA well-functioning placenta is essential for fetal and maternal health throughout pregnancy. Using placental weight as a proxy for placental growth, we report genome-wide association analyses in the fetal (n = 65,405), maternal (n = 61,228) and paternal (n = 52,392) genomes, yielding 40 independent association signals. Twenty-six signals are classified as fetal, four maternal and three fetal and maternal. A maternal parent-of-origin effect is seen near KCNQ1.