scholarly article | Q13442814 |
P6179 | Dimensions Publication ID | 1046227163 |
P356 | DOI | 10.1097/GIM.0B013E3181B13A6C |
P932 | PMC publication ID | 2936269 |
P698 | PubMed publication ID | 19617843 |
P50 | author | Francis Collins | Q336658 |
Centers for Disease Control and Prevention | Q583725 | ||
George M. Church | Q3298995 | ||
John Ioannidis | Q6251482 | ||
Kári Stefánsson | Q6453246 | ||
Robert C. Green | Q7342606 | ||
Sharon F. Terry | Q7490049 | ||
Sharon L R Kardia | Q88218091 | ||
Philip Greenland | Q93019727 | ||
Ralph J. Coates | Q124654554 | ||
Paul L. Kimmel | Q130390505 | ||
Kenneth Offit | Q20732365 | ||
Michael S. Lauer | Q27205541 | ||
Stephen Chanock | Q27662321 | ||
Jay M. Bernhardt | Q43836495 | ||
Cecile Janssens | Q58477081 | ||
Barry R. Davis | Q64684716 | ||
Muin J. Khoury | Q64746271 | ||
Marta Gwinn | Q64748945 | ||
Sheri D Schully | Q64749037 | ||
Jeffrey Gulcher | Q66823431 | ||
Jianfeng Xu | Q67190177 | ||
Rebekah Rasooly | Q38155014 | ||
P2093 | author name string | Mark H Greene | |
Mitchell H Gail | |||
John S Witte | |||
Geoffrey S Ginsburg | |||
Michele Cargill | |||
W Gregory Feero | |||
Gregory J Downing | |||
Steven M Teutsch | |||
J Scott Roberts | |||
David F Ransohoff | |||
Colleen M McBride | |||
Susan Friedman | |||
Angela Trepanier | |||
Robert T Croyle | |||
Kathy L Hudson | |||
Denise G Simons-Morton | |||
Amy Duross | |||
Amy M Miller | |||
Andro Hsu | |||
Kay L Wanke | |||
P2860 | cites work | Point: genetic risk feedback for common disease time to test the waters | Q81251130 |
Counterpoint: genetic risk feedback for common disease time to test the waters | Q81251134 | ||
Cohort studies and the genetics of complex disease | Q83106332 | ||
Personalized genetic prediction: too limited, too expensive, or too soon? | Q83203055 | ||
Update on the methods of the U.S. Preventive Services Task Force: insufficient evidence | Q83288867 | ||
When is measuring sensitivity and specificity sufficient to evaluate a diagnostic test, and when do we need randomized trials? | Q83930135 | ||
Interpretation of genetic association studies: markers with replicated highly significant odds ratios may be poor classifiers | Q21563322 | ||
Meta-analysis in genome-wide association studies | Q24273398 | ||
Genome-wide association studies for complex traits: consensus, uncertainty and challenges | Q24550632 | ||
Rare independent mutations in renal salt handling genes contribute to blood pressure variation | Q24627187 | ||
Blazing a trail: a public health research agenda in genomics and chronic disease | Q25257780 | ||
Letting the genome out of the bottle--will we get our wish? | Q28264215 | ||
Size matters: just how big is BIG?: Quantifying realistic sample size requirements for human genome epidemiology | Q28755468 | ||
General cardiovascular risk profile for use in primary care: the Framingham Heart Study | Q29614189 | ||
Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond | Q29614697 | ||
A HapMap harvest of insights into the genetics of common disease | Q29614875 | ||
Genetic mapping in human disease | Q29614943 | ||
Pharmacogenomics: candidate gene identification, functional validation and mechanisms | Q33375573 | ||
Estimation of the warfarin dose with clinical and pharmacogenetic data | Q33410725 | ||
A health services research agenda for cellular, molecular and genomic technologies in cancer care | Q33749983 | ||
Integrating the predictiveness of a marker with its performance as a classifier | Q34129175 | ||
Multiple rare variants in NPC1L1 associated with reduced sterol absorption and plasma low-density lipoprotein levels | Q34478587 | ||
Risky communication: pitfalls in counseling about risk, and how to avoid them | Q80251479 | ||
The case for a global human genome epidemiology initiative | Q80800985 | ||
The genome gets personal--almost | Q80893890 | ||
Genomic profiles for disease risk: predictive or premature? | Q80893894 | ||
A meta-analysis of the effect of mediated health communication campaigns on behavior change in the United States | Q40532001 | ||
An unwelcome side effect of direct-to-consumer personal genome testing: raiding the medical commons | Q42091906 | ||
Gauging the performance of SNPs, biomarkers, and clinical factors for predicting risk of breast cancer | Q42791172 | ||
Pharmacogenetics--tailoring treatment for the outliers | Q46116659 | ||
Cost-effectiveness of using pharmacogenetic information in warfarin dosing for patients with nonvalvular atrial fibrillation | Q46157298 | ||
Pharmacogenomics--ready for prime time? | Q46716977 | ||
The feasibility of online genetic testing for lung cancer susceptibility: uptake of a web-based protocol and decision outcomes | Q46747840 | ||
Predictors of attrition and weight loss in an adolescent weight control program | Q47241118 | ||
Developing a center for comparative effectiveness information | Q47586561 | ||
Evaluating the utility of personal genomic information | Q47593006 | ||
Genetic susceptibility testing versus family history-based risk assessment: Impact on perceived risk of Alzheimer disease | Q49141542 | ||
The evidence dilemma in genomic medicine | Q50769689 | ||
Incorporating biomarkers of exposure and genetic susceptibility into smoking cessation treatment: effects on smoking-related cognitions, emotions, and behavior change | Q51108076 | ||
A navigator for human genome epidemiology | Q51895975 | ||
Effects of attributing serious mental illnesses to genetic causes on orientations to treatment | Q51920543 | ||
What is the clinical utility of genetic testing? | Q52012351 | ||
Time to check CHEK2 in families with breast cancer? | Q55047407 | ||
Misdirected precaution | Q57261722 | ||
Turning the Pump Handle: Evolving Methods for Integrating the Evidence on Gene-Disease Association | Q57542900 | ||
Beyond odds ratios — communicating disease risk based on genetic profiles | Q58047301 | ||
Psychological impact of genetic testing for familial hypercholesterolemia within a previously aware population: A randomized controlled trial | Q60697564 | ||
Difficulty in losing weight by behavioral intervention for women with Trp64Arg polymorphism of the beta3-adrenergic receptor gene | Q73807082 | ||
Genome-based prediction of common diseases: advances and prospects | Q34851798 | ||
Assessing the value of risk predictions by using risk stratification tables | Q34969023 | ||
Population screening in the age of genomic medicine | Q35037759 | ||
Genetic testing for Alzheimer's disease and its impact on insurance purchasing behavior | Q35567406 | ||
Simple tools for understanding risks: from innumeracy to insight | Q36037510 | ||
On criteria for evaluating models of absolute risk | Q36072628 | ||
Pharmacogenetics and pharmacogenomics: development, science, and translation | Q36583761 | ||
A critical appraisal of the scientific basis of commercial genomic profiles used to assess health risks and personalize health interventions | Q36719129 | ||
Health behavior changes after genetic risk assessment for Alzheimer disease: The REVEAL Study | Q36790111 | ||
Discriminatory accuracy from single-nucleotide polymorphisms in models to predict breast cancer risk | Q36858843 | ||
Putting science over supposition in the arena of personalized genomics | Q36865829 | ||
Assessing the combined impact of 18 common genetic variants of modest effect sizes on type 2 diabetes risk | Q36943793 | ||
Assessment of cumulative evidence on genetic associations: interim guidelines | Q36952959 | ||
The continuum of translation research in genomic medicine: how can we accelerate the appropriate integration of human genome discoveries into health care and disease prevention? | Q37029751 | ||
Rare loss-of-function mutations in ANGPTL family members contribute to plasma triglyceride levels in humans. | Q37036119 | ||
Recommendations from the EGAPP Working Group: testing for cytochrome P450 polymorphisms in adults with nonpsychotic depression treated with selective serotonin reuptake inhibitors | Q37037058 | ||
Cardiovascular disease risk prediction with and without knowledge of genetic variation at chromosome 9p21.3. | Q37069329 | ||
Psychosocial issues in genetic testing for familial adenomatous polyposis: a review of the literature. | Q37211096 | ||
The Evaluation of Genomic Applications in Practice and Prevention (EGAPP) Initiative: methods of the EGAPP Working Group | Q37277889 | ||
Looking to the future of new media in health marketing: deriving propositions based on traditional theories. | Q37303272 | ||
Pharmacogenomic dosing of warfarin: ready or not? | Q37334317 | ||
Recommendations from the EGAPP Working Group: can UGT1A1 genotyping reduce morbidity and mortality in patients with metastatic colorectal cancer treated with irinotecan? | Q37345971 | ||
Recommendations from the EGAPP Working Group: genetic testing strategies in newly diagnosed individuals with colorectal cancer aimed at reducing morbidity and mortality from Lynch syndrome in relatives | Q37345978 | ||
Recommendations from the EGAPP Working Group: can tumor gene expression profiling improve outcomes in patients with breast cancer? | Q37345983 | ||
The genomic applications in practice and prevention network | Q37345987 | ||
Impact of adding a single allele in the 9p21 locus to traditional risk factors on reclassification of coronary heart disease risk and implications for lipid-modifying therapy in the Atherosclerosis Risk in Communities study | Q37408982 | ||
Psychosocial aspects of DNA testing for hereditary hemochromatosis in at-risk individuals: a systematic review | Q37421773 | ||
Disclosure of APOE genotype for risk of Alzheimer's disease | Q37423417 | ||
Predicting type 2 diabetes based on polymorphisms from genome-wide association studies: a population-based study | Q40060574 | ||
Chromosome 9p21.3 coronary heart disease locus genotype and prospective risk of CHD in healthy middle-aged men. | Q40126925 | ||
The impact of genotype frequencies on the clinical validity of genomic profiling for predicting common chronic diseases | Q40182769 | ||
Using wireless handheld computers and tailored text messaging to reduce negative consequences of drinking alcohol. | Q40203757 | ||
Use and misuse of the receiver operating characteristic curve in risk prediction | Q40241086 | ||
Self-regulation and the behavioural response to DNA risk information: a theoretical analysis and framework for future research | Q40389106 | ||
Who seeks genetic susceptibility testing for Alzheimer's disease? Findings from a multisite, randomized clinical trial | Q40494480 | ||
P433 | issue | 8 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | personal genomics | Q7170583 |
workshop | Q27556165 | ||
P1104 | number of pages | 9 | |
P304 | page(s) | 559-567 | |
P577 | publication date | 2009-08-01 | |
P1433 | published in | Genetics in Medicine | Q15765508 |
P1476 | title | The Scientific Foundation for personal genomics: recommendations from a National Institutes of Health-Centers for Disease Control and Prevention multidisciplinary workshop | |
P478 | volume | 11 |
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Q28395074 | Concerns about unintended negative consequences of informing the public about multifactorial risks may be premature for young adult smokers |
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