Reclassification of genetic-based risk predictions as GWAS data accumulate

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Reclassification of genetic-based risk predictions as GWAS data accumulate is …
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scholarly articleQ13442814

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P6179Dimensions Publication ID1034573097
P356DOI10.1186/S13073-016-0272-5
P932PMC publication ID4756503
P698PubMed publication ID26884246
P5875ResearchGate publication ID295503533

P50authorRobert C. GreenQ7342606
Joel KrierQ96102116
P2093author name stringPeter Kraft
Richard Barfield
P2860cites workComparison of family history and SNPs for predicting risk of complex diseaseQ21144905
Potential etiologic and functional implications of genome-wide association loci for human diseases and traitsQ22066284
Why Most Discovered True Associations Are InflatedQ24273233
Clinical assessment incorporating a personal genomeQ24612653
A map of human genome variation from population-scale sequencingQ24617794
Genetic screening for the risk of type 2 diabetes: worthless or valuable?Q26829897
The International HapMap ProjectQ27860695
Common polygenic variation contributes to risk of schizophrenia and bipolar disorderQ28250609
Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetesQ28272915
Genomewide association studies and assessment of the risk of diseaseQ28288414
Genome-wide association study identifies new prostate cancer susceptibility lociQ28924380
Large-scale genotyping identifies 41 new loci associated with breast cancer riskQ29416989
Shattuck lecture--medical and societal consequences of the Human Genome Project.Q48582472
Combining 33 genetic variants with prostate-specific antigen for prediction of prostate cancer: longitudinal study.Q54387343
Evaluation of risk prediction updates from commercial genome-wide scansQ57364888
Will Genetics Revolutionize Medicine?Q57745587
Diagnostic clinical genome and exome sequencingQ95515418
Identification of 23 new prostate cancer susceptibility loci using the iCOGS custom genotyping arrayQ29417155
SNAP: a web-based tool for identification and annotation of proxy SNPs using HapMapQ29614907
Joint analysis is more efficient than replication-based analysis for two-stage genome-wide association studiesQ29614926
The MedSeq Project: a randomized trial of integrating whole genome sequencing into clinical medicineQ30585056
Combining information from common type 2 diabetes risk polymorphisms improves disease predictionQ33259329
The future of genetic counselling: an international perspectiveQ33658958
Improving the prediction of complex diseases by testing for multiple disease-susceptibility genesQ33904517
Clinical interpretation and implications of whole-genome sequencingQ33989890
Metabolite traits and genetic risk provide complementary information for the prediction of future type 2 diabetes.Q34073453
BioQ: tracing experimental origins in public genomic databases using a novel data provenance modelQ34198963
Genomic medicine--a primerQ34992066
Problems with risk reclassification methods for evaluating prediction modelsQ35116610
Common genetic variants in prostate cancer risk prediction--results from the NCI Breast and Prostate Cancer Cohort Consortium (BPC3)Q35868793
Summarizing polygenic risks for complex diseases in a clinical whole-genome reportQ35990450
Inclusion of gene-gene and gene-environment interactions unlikely to dramatically improve risk prediction for complex diseasesQ36017113
Estimation of effect size distribution from genome-wide association studies and implications for future discoveriesQ36191121
Breast cancer risk prediction and individualised screening based on common genetic variation and breast density measurementQ36393193
Genome-wide association and replication studies identify four variants associated with prostate cancer susceptibilityQ36582802
Prediction of breast cancer risk based on profiling with common genetic variantsQ36583004
Large-scale association analysis identifies new risk loci for coronary artery diseaseQ36921066
Projecting the performance of risk prediction based on polygenic analyses of genome-wide association studiesQ37059182
The predictive capacity of personal genome sequencingQ37090585
The future of direct-to-consumer clinical genetic testsQ37148870
Predicting risk of type 2 diabetes mellitus with genetic risk models on the basis of established genome-wide association markers: a systematic reviewQ37220830
Prediction of breast cancer risk by genetic risk factors, overall and by hormone receptor statusQ37223335
Curses--winner's and otherwise--in genetic epidemiologyQ37243708
Variation in predictive ability of common genetic variants by established strata: the example of breast cancer and age.Q37370221
Genome-based prediction of breast cancer risk in the general population: a modeling study based on meta-analyses of genetic associationsQ37826562
Variations in predicted risks in personal genome testing for common complex diseasesQ39395332
Literature-based genetic risk scores for coronary heart disease: the Cardiovascular Registry Maastricht (CAREMA) prospective cohort studyQ39646988
Does genotyping of risk-associated single nucleotide polymorphisms improve patient selection for prostate biopsy when combined with a prostate cancer risk calculator?Q40152616
Use and misuse of the receiver operating characteristic curve in risk predictionQ40241086
Prediction of individual genetic risk to prostate cancer using a polygenic scoreQ41584352
Public awareness and use of direct-to-consumer personal genomic tests from four state population-based surveys, and implications for clinical and public health practiceQ41889955
Further insight into the incremental value of new markers: the interpretation of performance measures and the importance of clinical contextQ42138242
Impact of direct-to-consumer genomic testing at long term follow-upQ42695084
Regulation: The FDA is overcautious on consumer genomicsQ45214163
Assessing improvement in disease prediction using net reclassification improvement: impact of risk cut-offs and number of risk categoriesQ45232818
P433issue1
P921main subjectgenome-wide association studyQ1098876
P304page(s)20
P577publication date2016-02-17
P1433published inGenome MedicineQ15816848
P1476titleReclassification of genetic-based risk predictions as GWAS data accumulate
P478volume8

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cites work (P2860)
Q60925818Big data hurdles in precision medicine and precision public health
Q43258142Cancer Prevention and Treatment by Wholistic Nutrition
Q26746219Clinical validity and utility of genetic risk scores in prostate cancer
Q47562094Functional assessment of the BMPR2 gene in lymphoblastoid cell lines from Graves' disease patients.
Q47945968Genetic Test, Risk Prediction, and Counseling.
Q37344774Genomic sequencing in clinical practice: applications, challenges, and opportunities
Q39114110Personal Genomic Testing for Cancer Risk: Results From the Impact of Personal Genomics Study
Q40137394Reclassification of prostate cancer risk using sequentially identified SNPs: Results from the REDUCE trial.
Q64278528Returning a Genomic Result for an Adult-Onset Condition to the Parents of a Newborn: Insights From the BabySeq Project
Q57306568The BabySeq project: implementing genomic sequencing in newborns
Q38371452The genomic potential of the Aspirin in Reducing Events in the Elderly and Statins in Reducing Events in the Elderly studies.
Q30391847Towards precision medicine

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