@misc{IllnerNoethlingsWagneretal.2017,
  author    = {Illner, Anne-Kathrin and N{\"o}thlings, Ute and Wagner, Karen and Ward, Heather and Boeing, Heiner},
  title     = {The Assessment of Individual Usual Food Intake in Large-Scale Prospective Studies},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-399840},
  pages     = {7},
  year      = {2017},
  abstract  = {Recent research has called into question the current practice to estimate individual usual food intake in large-scale studies. In such studies, usual food intake has been defined as diet over the past year. The aim of this review is to summarise the concepts of dietary assessment methods providing food intake data over this time period. A conceptualised framework is given to help researchers to understand the more recent developments to improve dietary assessment in large-scale prospective studies, and also to help to spot the gaps that need to be addressed in future methodological research. The conceptual framework illustrates the current options for the assessment of an individual's food consumption over 1 year. Ideally, a person's food intake on each day of this year should be assessed. Due to participants' burden, and organisational and financial constraints, however, the options are limited to directly requesting the long-term average (e.g. food frequency questionnaires), or selecting a few days with detailed food consumption measurements (e.g. 24-hour dietary recalls) or using snapshot techniques (e.g. barcode scanning of purchases). It seems necessary and important to further evaluate the performance of statistical modelling of the individual usual food intake from all available sources. Future dietary assessment might profit from the growing prominence of internet and telecommunication technologies to further enhance the available data on food consumption for each study participant. Research is crucial to investigate the performance of innovative assessment tools. However, the self-reported nature of the data itself will always lead to bias.},
  language  = {en}
}
@misc{KuehnFloegelSookthaietal.2016,
  author    = {K{\"u}hn, Tilman and Floegel, Anna and Sookthai, Disorn and Johnson, Theron and Rolle-Kampczyk, Ulrike and Otto, Wolfgang and von Bergen, Martin and Boeing, Heiner and Kaaks, Rudolf},
  title     = {Higher plasma levels of lysophosphatidylcholine 18:0 are related to a lower risk of common cancers in a prospective metabolomics study},
  series = {BMC medicine},
  journal   = {BMC medicine},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-407258},
  pages     = {9},
  year      = {2016},
  abstract  = {Background: First metabolomics studies have indicated that metabolic fingerprints from accessible tissues might be useful to better understand the etiological links between metabolism and cancer. However, there is still a lack of prospective metabolomics studies on pre-diagnostic metabolic alterations and cancer risk. Methods: Associations between pre-diagnostic levels of 120 circulating metabolites (acylcarnitines, amino acids, biogenic amines, phosphatidylcholines, sphingolipids, and hexoses) and the risks of breast, prostate, and colorectal cancer were evaluated by Cox regression analyses using data of a prospective case-cohort study including 835 incident cancer cases. Results: The median follow-up duration was 8.3 years among non-cases and 6.5 years among incident cases of cancer. Higher levels of lysophosphatidylcholines (lysoPCs), and especially lysoPC a C18:0, were consistently related to lower risks of breast, prostate, and colorectal cancer, independent of background factors. In contrast, higher levels of phosphatidylcholine PC ae C30:0 were associated with increased cancer risk. There was no heterogeneity in the observed associations by lag time between blood draw and cancer diagnosis. Conclusion: Changes in blood lipid composition precede the diagnosis of common malignancies by several years. Considering the consistency of the present results across three cancer types the observed alterations point to a global metabolic shift in phosphatidylcholine metabolism that may drive tumorigenesis.},
  language  = {en}
}
@misc{LiStomaLottaetal.2020,
  author    = {Li, Chen and Stoma, Svetlana and Lotta, Luca A. and Warner, Sophie and Albrecht, Eva and Allione, Alessandra and Arp, Pascal P. and Broer, Linda and Buxton, Jessica L. and Boeing, Heiner and Langenberg, Claudia and Codd, Veryan},
  title     = {Genome-wide association analysis in humans links nucleotide metabolism to leukocyte telomere length},
  series = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  number    = {3},
  issn      = {1866-8372},
  doi       = {10.25932/publishup-52684},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-526843},
  pages     = {18},
  year      = {2020},
  abstract  = {Leukocyte telomere length (LTL) is a heritable biomarker of genomic aging. In this study, we perform a genome-wide meta-analysis of LTL by pooling densely genotyped and imputed association results across large-scale European-descent studies including up to 78,592 individuals. We identify 49 genomic regions at a false dicovery rate (FDR) < 0.05 threshold and prioritize genes at 31, with five highlighting nucleotide metabolism as an important regulator of LTL. We report six genome-wide significant loci in or near SENP7, MOB1B, CARMIL1 , PRRC2A, TERF2, and RFWD3, and our results support recently identified PARP1, POT1, ATM, and MPHOSPH6 loci. Phenome-wide analyses in >350,000 UK Biobank participants suggest that genetically shorter telomere length increases the risk of hypothyroidism and decreases the risk of thyroid cancer, lymphoma, and a range of proliferative conditions. Our results replicate previously reported associations with increased risk of coronary artery disease and lower risk for multiple cancer types. Our findings substantially expand current knowledge on genes that regulate LTL and their impact on human health and disease.},
  language  = {en}
}
@misc{MuehlenbruchKuxhausPencinaetal.2015,
  author    = {M{\"u}hlenbruch, Kristin and Kuxhaus, Olga and Pencina, Michael J. and Boeing, Heiner and Liero, Hannelore and Schulze, Matthias Bernd},
  title     = {A confidence ellipse for the Net Reclassification Improvement},
  series = {Postprints der Universit{\"a}t Potsdam : Mathematisch Naturwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam : Mathematisch Naturwissenschaftliche Reihe},
  number    = {825},
  issn      = {1866-8372},
  doi       = {10.25932/publishup-42737},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-427371},
  pages     = {299 -- 304},
  year      = {2015},
  abstract  = {The Net Reclassification Improvement (NRI) has become a popular metric for evaluating improvement in disease prediction models through the past years. The concept is relatively straightforward but usage and interpretation has been different across studies. While no thresholds exist for evaluating the degree of improvement, many studies have relied solely on the significance of the NRI estimate. However, recent studies recommend that statistical testing with the NRI should be avoided. We propose using confidence ellipses around the estimated values of event and non-event NRIs which might provide the best measure of variability around the point estimates. Our developments are illustrated using practical examples from EPIC-Potsdam study.},
  language  = {en}
}