(Q34735432)

4 August 2017

The value of genetic information for diabetes risk prediction - differences according to sex, age, family history and obesity (English)

1 reference

4 August 2017

0 references

4

Heiner Boeing

1 reference

4 August 2017

Kristin Mühlenbruch

1

0 references

Matthias B Schulze

object named as

Matthias B Schulze

series ordinal

5

0 references

Hans-Georg Joost

object named as

Hans-Georg Joost

series ordinal

3

0 references

author name string

Charlotte Jeppesen

series ordinal

2

1 reference

PubMed ID

23700469

4 August 2017

language of work or name

English

0 references

publication date

20 May 2013

1 reference

4 August 2017

1 reference

4 August 2017

8

1 reference

4 August 2017

5

1 reference

4 August 2017

e64307

1 reference

Creative Commons Attribution 4.0 International

4 August 2017

start time

20 May 2013

1 reference

April 2022 Public Data File from Crossref

copyright status

copyrighted

0 references

cites work

The link between family history and risk of type 2 diabetes is not explained by anthropometric, lifestyle or genetic risk factors: the EPIC-InterAct study

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3658960

Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3658960

A genotype risk score predicts type 2 diabetes from young adulthood: the CARDIA study

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3658960

A methodological perspective on genetic risk prediction studies in type 2 diabetes: recommendations for future research

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3658960

Risk assessment tools for identifying individuals at risk of developing type 2 diabetes

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3658960

Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3658960

Genetic risk reclassification for type 2 diabetes by age below or above 50 years using 40 type 2 diabetes risk single nucleotide polymorphisms.

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3658960

Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3658960

Utility of genetic and non-genetic risk factors in prediction of type 2 diabetes: Whitehall II prospective cohort study

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3658960

Use of multiple metabolic and genetic markers to improve the prediction of type 2 diabetes: the EPIC-Potsdam Study

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3658960

Joint effects of common genetic variants on the risk for type 2 diabetes in U.S. men and women of European ancestry

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3658960

Clinical risk factors, DNA variants, and the development of type 2 diabetes

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3658960

Genotype score in addition to common risk factors for prediction of type 2 diabetes

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3658960

Predicting type 2 diabetes based on polymorphisms from genome-wide association studies: a population-based study

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3658960

Predicting diabetes: clinical, biological, and genetic approaches: data from the Epidemiological Study on the Insulin Resistance Syndrome (DESIR).

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3658960

Plasma fetuin-A levels and the risk of type 2 diabetes

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3658960

Genetic prediction of future type 2 diabetes

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3658960

Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3658960

Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3658960

Predictive testing for complex diseases using multiple genes: fact or fiction?

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3658960

Recruitment procedures of EPIC-Germany. European Investigation into Cancer and Nutrition

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3658960

Reproducibility and relative validity of energy and macronutrient intake of a food frequency questionnaire developed for the German part of the EPIC project. European Prospective Investigation into Cancer and Nutrition.

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3658960

Reproducibility and relative validity of food group intake in a food frequency questionnaire developed for the German part of the EPIC project. European Prospective Investigation into Cancer and Nutrition

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3658960

Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3658960

An accurate risk score based on anthropometric, dietary, and lifestyle factors to predict the development of type 2 diabetes

7 July 2018

1 reference

https://api.crossref.org/works/10.1371%2FJOURNAL.PONE.0064307

Genetic risk scores ascertained in early adulthood and the prediction of type 2 diabetes later in life

21 January 2018

1 reference

https://api.crossref.org/works/10.1371%2FJOURNAL.PONE.0064307

Assessing improvement in disease prediction using net reclassification improvement: impact of risk cut-offs and number of risk categories

21 January 2018

1 reference

https://api.crossref.org/works/10.1371%2FJOURNAL.PONE.0064307

Improvement of Risk Prediction by Genomic Profiling: Reclassification Measures Versus the Area Under the Receiver Operating Characteristic Curve

21 January 2018

1 reference

https://api.crossref.org/works/10.1371%2FJOURNAL.PONE.0064307

Validation of a self-administered food-frequency questionnaire administered in the European Prospective Investigation into Cancer and Nutrition (EPIC) Study: comparison of energy, protein, and macronutrient intakes estimated with the doubly labeled

21 January 2018

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/23700469

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1371/JOURNAL.PONE.0064307

1 reference

4 August 2017

0 references

1 reference

4 August 2017

1 reference

PubMed ID

23700469