Large-scale meta-analysis highlights the hypothalamic-pituitary-gonadal axis in the genetic regulation of menstrual cycle length.
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| Title: | Large-scale meta-analysis highlights the hypothalamic-pituitary-gonadal axis in the genetic regulation of menstrual cycle length. |
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| Authors: | Laisk T; Department of Obstetrics and Gynecology, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia.; Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia.; Competence Centre on Health Technologies, Tartu, Estonia., Kukuškina V; Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia., Palmer D; Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA., Laber S; Big Data Institute, Li Ka Shing Center for Health for Health Information and Discovery, Oxford University, Oxford, UK.; Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK., Chen CY; Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.; Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts, USA.; Broad Institute of MIT and Harvard, Boston, Massachusetts, USA., Ferreira T; Big Data Institute, Li Ka Shing Center for Health for Health Information and Discovery, Oxford University, Oxford, UK., Rahmioglu N; Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK., Zondervan K; Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK.; Oxford Endometriosis CaRe Centre, Nuffield Department of Women's and Reproductive Health, University of Oxford, UK., Becker C; Oxford Endometriosis CaRe Centre, Nuffield Department of Women's and Reproductive Health, University of Oxford, UK., Smoller JW; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.; Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts, USA., Lippincott M; Harvard Reproductive Sciences Center and Reproductive Endocrine Unit, Massachusetts General Hospital, Boston, Massachusetts, USA., Salumets A; Department of Obstetrics and Gynecology, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia.; Competence Centre on Health Technologies, Tartu, Estonia.; Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.; Department of Biomedicine, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia., Granne I; Nuffield Department of Women's and Reproductive Health, University of Oxford, UK., Seminara S; Harvard Reproductive Sciences Center and Reproductive Endocrine Unit, Massachusetts General Hospital, Boston, Massachusetts, USA., Neale B; Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.; Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts, USA., Mägi R; Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia., Lindgren CM; Big Data Institute, Li Ka Shing Center for Health for Health Information and Discovery, Oxford University, Oxford, UK.; Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK.; Program in Medical and Population Genetics, Broad Institute, Boston, MA, USA. |
| Source: | Human molecular genetics [Hum Mol Genet] 2018 Dec 15; Vol. 27 (24), pp. 4323-4332. |
| Publication Type: | Journal Article; Meta-Analysis; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: IRL Press at Oxford University Press Country of Publication: England NLM ID: 9208958 Publication Model: Print Cited Medium: Internet ISSN: 1460-2083 (Electronic) Linking ISSN: 09646906 NLM ISO Abbreviation: Hum Mol Genet Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1460-2083 |
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| DOI: | 10.1093/hmg/ddy317 |
