Summary statistics are available for download from the ReproGen Consortium website.
Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk.
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Nat Genet. 2017 Jun;49(6):834-841. doi: 10.1038/ng.3841.
PMID: 28436984
Summary statistics are available for download from the Early Growth Genetics Consortium website.
Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors.
Warrington NM, et al.
Nat Genet. 2019 May;51(5):804-814. doi: 10.1038/s41588-019-0403-1.
PMID: 31043758
Summary statistics are available for download from the Early Growth Genetics Consortium website.
Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors.
Warrington NM, et al.
Nat Genet. 2019 May;51(5):804-814. doi: 10.1038/s41588-019-0403-1.
PMID: 31043758
Summary statistics are available for download from the Global Biobank Meta-analysis Initiative.
Multi-ancestry meta-analysis identifies 5 novel loci for ischemic stroke and reveals heterogeneity of effects between sexes and ancestries.
Surakka I, et al.
Cell Genom. 2023 Jun 19;3(8):100345. doi: 10.1016/j.xgen.2023.100345.
PMID: 37601974
Summary statistics are available for download from the Global Biobank Meta-analysis Initiative.
Multi-ancestry meta-analysis identifies 5 novel loci for ischemic stroke and reveals heterogeneity of effects between sexes and ancestries.
Surakka I, et al.
Cell Genom. 2023 Jun 19;3(8):100345. doi: 10.1016/j.xgen.2023.100345.
PMID: 37601974
Summary statistics are available for download from the Global Biobank Meta-analysis Initiative.
Multi-ancestry meta-analysis identifies 5 novel loci for ischemic stroke and reveals heterogeneity of effects between sexes and ancestries.
Surakka I, et al.
Cell Genom. 2023 Jun 19;3(8):100345. doi: 10.1016/j.xgen.2023.100345.
PMID: 37601974
Summary statistics are available for download from the Global Biobank Meta-analysis Initiative.
Multi-ancestry meta-analysis identifies 5 novel loci for ischemic stroke and reveals heterogeneity of effects between sexes and ancestries.
Surakka I, et al.
Cell Genom. 2023 Jun 19;3(8):100345. doi: 10.1016/j.xgen.2023.100345.
PMID: 37601974
Summary statistics are available for download from the Global Biobank Meta-analysis Initiative.
Multi-ancestry meta-analysis identifies 5 novel loci for ischemic stroke and reveals heterogeneity of effects between sexes and ancestries.
Surakka I, et al.
Cell Genom. 2023 Jun 19;3(8):100345. doi: 10.1016/j.xgen.2023.100345.
PMID: 37601974
Summary statistics are available for download from the Global Biobank Meta-analysis Initiative.
Multi-ancestry meta-analysis identifies 5 novel loci for ischemic stroke and reveals heterogeneity of effects between sexes and ancestries.
Surakka I, et al.
Cell Genom. 2023 Jun 19;3(8):100345. doi: 10.1016/j.xgen.2023.100345.
PMID: 37601974
Summary statistics are available for download from the Global Biobank Meta-analysis Initiative.
Multi-ancestry meta-analysis identifies 5 novel loci for ischemic stroke and reveals heterogeneity of effects between sexes and ancestries.
Surakka I, et al.
Cell Genom. 2023 Jun 19;3(8):100345. doi: 10.1016/j.xgen.2023.100345.
PMID: 37601974