Sirvi Autor "Lindgren, Cecilia M." järgi

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Ovarian Physiology and GWAS: Biobanks, Biology, and Beyond
(2016-05) Laisk-Podar, Triin; Lindgren, Cecilia M.; Peters, Maire; Tapanainen, Juha S.; Lambalk, Cornelis B.; Salumets, Andres; Mägi, Reedik
Ovarian function is central to female fertility, and several genome-wide association studies (GWAS) have been carried out to elucidate the genetic background of traits and disorders that reflect and affect ovarian physiology. While GWAS have been successful in reporting numerous genetic associations and highlighting involved pathways relevant to reproductive aging, for ovarian disorders, such as premature ovarian insufficiency and polycystic ovary syndrome, research has lagged behind due to insufficient study sample size. Novel approaches to study design and analysis methods that help to fit GWAS findings into biological context will improve our knowledge about genetics governing ovarian function in fertility and disease, and provide input for clinical tools and better patient management.
The genetic architecture of sporadic and multiple consecutive miscarriage
(Nature Communications, 2020-11-25) Laisk, Triin; Soares, Ana Luiza G.; Lindgren, Cecilia M.; Ferreira, Teresa; Painter, Jodie N.; Censin, Jenny C.; Laber, Samantha; Bacelis, Jonas; Chen, Chia-Yen; Lepamets, Maarja; Lawlor, Deborah A.; Mägi, Reedik; Medland, Sarah E.; Granne, Ingrid; Walters, Robin G.; Nielsen, Rasmus; Neale, Benjamin M.; Martin, Nicholas G.; Li, Liming; Jacobsson, Bo; Conrad, Donald F.; Chen, Zhengming; Werge, Thomas; Zondervan, Krina; Snieder, Harold; Salumets, Andres; Seminara, Stephanie; Lippincott, Margaret; Nyholt, Dale R.; Nordentoft, Merete; Njølstad, Pål R.; Mortensen, Preben B.; Mors, Ole; Morris, Andrew P.; Montgomery, Grant W.; Metspalu, Andres; Lind, Penelope A.; Kukushkina, Viktorija; Kartsonaki, Christiana; Juodakis, Julius; Johansson, Stefan; Jin, Xin; Hougaard, David M.; Helgeland, Øyvind; Bybjerg-Grauholm, Jonas; Gordon, Scott D.; Børglum, Anders D.; Becker, Christian M.; Yang, Ling; Andersen, Marianne S.; Southcombe, Jennifer; Ramu, Avinash; Millwood, Iona Y.; Liu, Siyang; Lin, Kuang
Miscarriage is a common, complex trait affecting ~15% of clinically confirmed pregnancies. Here we present the results of large-scale genetic association analyses with 69,054 cases from five different ancestries for sporadic miscarriage, 750 cases of European ancestry for multiple (≥3) consecutive miscarriage, and up to 359,469 female controls. We identify one genome-wide significant association (rs146350366, minor allele frequency (MAF) 1.2%, P = 3.2 × 10−8, odds ratio (OR) = 1.4) for sporadic miscarriage in our European ancestry meta-analysis and three genome-wide significant associations for multiple consecutive miscarriage (rs7859844, MAF = 6.4%, P = 1.3 × 10−8, OR = 1.7; rs143445068, MAF = 0.8%, P = 5.2 × 10−9, OR = 3.4; rs183453668, MAF = 0.5%, P = 2.8 × 10−8, OR = 3.8). We further investigate the genetic architecture of miscarriage with biobank-scale Mendelian randomization, heritability, and genetic correlation analyses. Our results show that miscarriage etiopathogenesis is partly driven by genetic variation potentially related to placental biology, and illustrate the utility of large-scale biobank data for understanding this pregnancy complication.