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Predicting Polygenic Obesity Using Genetic Information

Cell metabolism, 2017-03, Vol.25 (3), p.535-543

2017

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The apolipoprotein E gene and its age-specific effects on cognitive function

Neurobiology of aging, 2010-10, Vol.31 (10), p.1831-1833

2010

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Most published research findings are false--but a little replication goes a long way

PLoS medicine, 2007-02, Vol.4 (2), p.218

2007

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Genome-Wide Profiling of Blood Pressure in Adults and Children

Hypertension (Dallas, Tex. 1979), 2012-02, Vol.59 (2), p.241-247

2012

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Novel citation-based search method for scientific literature: a validation study

BMC medical research methodology, 2020-02, Vol.20 (1), p.25-25, Article 25

2020

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Eye color and the prediction of complex phenotypes from genotypes

Current biology, 2009-03, Vol.19 (5), p.R192-R193

2009

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A collaborative translational research framework for evaluating and implementing the appropriate use of human genome sequencing to improve health

PLoS medicine, 2018-08, Vol.15 (8), p.e1002631-e1002631

2018

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Defining Evidence for Precision Medicine: A Patient Is More Than a Set of Covariates

Epidemiology (Cambridge, Mass.), 2019-05, Vol.30 (3), p.342-344

Janssens, A. Cecile J.W.

2019

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Personal utility in genomic testing: is there such a thing?

Journal of medical ethics, 2015-04, Vol.41 (4), p.322-326

2015

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

Diabetes (New York, N.Y.), 2008-11, Vol.57 (11), p.3122-3128

2008

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Research conducted using data obtained through online communities: ethical implications of methodological limitations

PLoS medicine, 2012-10, Vol.9 (10), p.e1001328-e1001328

2012

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A Critical Appraisal of the Scientific Basis of Commercial Genomic Profiles Used to Assess Health Risks and Personalize Health Interventions

American journal of human genetics, 2008-03, Vol.82 (3), p.593-599

2008

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Plasma β amyloid and the risk of Alzheimer's disease in Down syndrome

Neurobiology of aging, 2012-09, Vol.33 (9), p.1988-1994

2012

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How can polygenic inheritance be used in population screening for common diseases?

Genetics in medicine, 2013-06, Vol.15 (6), p.437-443

2013

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Proprietary Algorithms for Polygenic Risk: Protecting Scientific Innovation or Hiding the Lack of It?

Genes, 2019-06, Vol.10 (6), p.448

Janssens, A Cecile J W

2019

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Small improvement in the area under the receiver operating characteristic curve indicated small changes in predicted risks

Journal of clinical epidemiology, 2016-11, Vol.79, p.159-164

2016

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Response to letter Dr Gail

Journal of clinical epidemiology, 2017-05, Vol.85, p.70-71

2017

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External validation is only needed when prediction models are worth it (Letter commenting on: J Clin Epidemiol. 2015;68:25-34)

Journal of clinical epidemiology, 2016, Vol.69, p.249-250

2016

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Strengthening the reporting of Genetic RIsk Prediction Studies: the GRIPS Statement

PLoS medicine, 2011-03, Vol.8 (3), p.e1000420-e1000420

2011

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Prediction impact curve is a new measure integrating intervention effects in the evaluation of risk models

Journal of clinical epidemiology, 2016, Vol.69, p.89-95

2016

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Impact of Communicating Familial Risk of Diabetes on Illness Perceptions and Self-Reported Behavioral Outcomes: A randomized controlled trial

Diabetes care, 2009-04, Vol.32 (4), p.597-599

2009

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How the Intended Use of Polygenic Risk Scores Guides the Design and Evaluation of Prediction Studies

Current epidemiology reports, 2019-06, Vol.6 (2), p.184-190

2019

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Recommendations from the EGAPP Working Group: does PCA3 testing for the diagnosis and management of prostate cancer improve patient health outcomes?

Genetics in medicine, 2014-04, Vol.16 (4), p.338-346

2014

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Scientific reporting is suboptimal for aspects that characterize genetic risk prediction studies: a review of published articles based on the Genetic RIsk Prediction Studies statement

Journal of clinical epidemiology, 2014-05, Vol.67 (5), p.487-499

2014

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Impact of Communicating Familial Risk of Diabetes on Illness Perceptions and Self-Reported Behavioral Outcomes

Diabetes care, 2009-04, Vol.32 (4), p.597-599

2009

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Predicting Polygenic Obesity Using Genetic Information

The apolipoprotein E gene and its age-specific effects on cognitive function

Most published research findings are false--but a little replication goes a long way

Genome-Wide Profiling of Blood Pressure in Adults and Children

Novel citation-based search method for scientific literature: a validation study

Eye color and the prediction of complex phenotypes from genotypes

A collaborative translational research framework for evaluating and implementing the appropriate use of human genome sequencing to improve health

Defining Evidence for Precision Medicine: A Patient Is More Than a Set of Covariates

Personal utility in genomic testing: is there such a thing?

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

Research conducted using data obtained through online communities: ethical implications of methodological limitations

A Critical Appraisal of the Scientific Basis of Commercial Genomic Profiles Used to Assess Health Risks and Personalize Health Interventions

Plasma β amyloid and the risk of Alzheimer's disease in Down syndrome

How can polygenic inheritance be used in population screening for common diseases?

Proprietary Algorithms for Polygenic Risk: Protecting Scientific Innovation or Hiding the Lack of It?

Small improvement in the area under the receiver operating characteristic curve indicated small changes in predicted risks

Response to letter Dr Gail

External validation is only needed when prediction models are worth it (Letter commenting on: J Clin Epidemiol. 2015;68:25-34)

Strengthening the reporting of Genetic RIsk Prediction Studies: the GRIPS Statement

Prediction impact curve is a new measure integrating intervention effects in the evaluation of risk models

Impact of Communicating Familial Risk of Diabetes on Illness Perceptions and Self-Reported Behavioral Outcomes: A randomized controlled trial

How the Intended Use of Polygenic Risk Scores Guides the Design and Evaluation of Prediction Studies

Recommendations from the EGAPP Working Group: does PCA3 testing for the diagnosis and management of prostate cancer improve patient health outcomes?

Scientific reporting is suboptimal for aspects that characterize genetic risk prediction studies: a review of published articles based on the Genetic RIsk Prediction Studies statement

Impact of Communicating Familial Risk of Diabetes on Illness Perceptions and Self-Reported Behavioral Outcomes

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