Claudia Langenberg

ORCID: 0000-0002-5017-7344 · 9 papers in corpus
other 2025
Scientific reports ·doi:10.1038/s41598-025-05838-9

Accurate and reproducible phenotyping is essential for large-scale biomedical research. However, developing robust phenotype definitions in biobanks is challenging due to diverse data sources and varying medical ontologies. As a result, the…

observational 2023
Nature human behaviour ·doi:10.1038/s41562-023-01528-6

Identifying genetic determinants of reproductive success may highlight mechanisms underlying fertility and identify alleles under present-day selection. Using data in 785,604 individuals of European ancestry, we identified 43 genomic loci a…

meta-analysis 2023
Arthritis & rheumatology (Hoboken, N.J.) ·doi:10.1002/art.42538

OBJECTIVE: In this study, we aimed to establish the causal effects of lowering sclerostin, target of the antiosteoporosis drug romosozumab, on atherosclerosis and its risk factors. METHODS: A genome-wide association study meta-analysis was…

other 2019
Nature genetics ·doi:10.1038/s41588-019-0447-2

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

other 2018
Nature genetics ·doi:10.1038/s41588-017-0011-x

Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, noncoding variants from which pinpointing causal gene…

other 2018
Nature genetics ·doi:10.1038/s41588-018-0050-y

In the published version of this paper, the name of author Emanuele Di Angelantonio was misspelled. This error has now been corrected in the HTML and PDF versions of the article.

2018
Nature genetics ·doi:10.1038/s41588-018-0082-3

In the version of this article originally published, one of the two authors with the name Wei Zhao was omitted from the author list and the affiliations for both authors were assigned to the single Wei Zhao in the author list. In addition, …

meta-analysis 2016
Nature ·doi:10.1038/nature19806

Birth weight (BW) has been shown to be influenced by both fetal and maternal factors and in observational studies is reproducibly associated with future risk of adult metabolic diseases including type 2 diabetes (T2D) and cardiovascular dis…

meta-analysis 2015
Nature ·doi:10.1038/nature14132

Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links…