review article | Q7318358 |
scholarly article | Q13442814 |
P50 | author | Frank Dudbridge | Q60878633 |
P2093 | author name string | Frank Dudbridge | |
P2860 | cites work | Heritability in the genomics era — concepts and misconceptions | Q22122010 |
Genetic studies of body mass index yield new insights for obesity biology | Q22305005 | ||
Biological insights from 108 schizophrenia-associated genetic loci | Q24561833 | ||
Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis | Q24597718 | ||
Five years of GWAS discovery | Q24610574 | ||
Common polygenic variation contributes to risk of schizophrenia and bipolar disorder | Q28250609 | ||
A comprehensive 1,000 Genomes-based genome-wide association meta-analysis of coronary artery disease | Q28267020 | ||
Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs | Q28296286 | ||
Large-scale genotyping identifies 41 new loci associated with breast cancer risk | Q29416989 | ||
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index | Q29547208 | ||
Re: “Multivariable Mendelian Randomization: The Use of Pleiotropic Genetic Variants to Estimate Causal Effects” | Q61865038 | ||
No evidence for shared genetic basis of common variants in multiple sclerosis and amyotrophic lateral sclerosis | Q37619291 | ||
Bringing genome-wide association findings into clinical use. | Q38120138 | ||
Adult height, coronary heart disease and stroke: a multi-locus Mendelian randomization meta-analysis | Q39313673 | ||
A Fast Method that Uses Polygenic Scores to Estimate the Variance Explained by Genome-wide Marker Panels and the Proportion of Variants Affecting a Trait | Q39334653 | ||
Linkage strategies for genetically complex traits. I. Multilocus models | Q40623210 | ||
Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression | Q40862437 | ||
Multivariable Mendelian randomization: the use of pleiotropic genetic variants to estimate causal effects | Q41511077 | ||
Prediction of individual genetic risk to prostate cancer using a polygenic score | Q41584352 | ||
Using multiple genetic variants as instrumental variables for modifiable risk factors | Q41931960 | ||
Genome-wide efficient mixed-model analysis for association studies | Q41961596 | ||
Use of allele scores as instrumental variables for Mendelian randomization | Q42970966 | ||
Bayesian inference analyses of the polygenic architecture of rheumatoid arthritis | Q44921278 | ||
The heritability of prostate cancer—letter | Q46112463 | ||
Celebrating the 30th anniversary of genetic epidemiology: how to define our scope? | Q48072440 | ||
Common SNPs explain a large proportion of the heritability for human height | Q29547221 | ||
Personal genomes: The case of the missing heritability | Q29614582 | ||
Plasma HDL cholesterol and risk of myocardial infarction: a mendelian randomisation study | Q29615729 | ||
Prediction of total genetic value using genome-wide dense marker maps | Q29619613 | ||
Mendelian randomization of blood lipids for coronary heart disease | Q30407506 | ||
Statistical power to detect genetic (co)variance of complex traits using SNP data in unrelated samples. | Q30798286 | ||
Accuracy of predicting the genetic risk of disease using a genome-wide approach | Q33375729 | ||
Prediction and interaction in complex disease genetics: experience in type 1 diabetes | Q33479555 | ||
Evidence for polygenic susceptibility to multiple sclerosis--the shape of things to come | Q33772946 | ||
A population genetic signal of polygenic adaptation | Q34015195 | ||
A comprehensive model for familial breast cancer incorporating BRCA1, BRCA2 and other genes | Q34115258 | ||
MultiBLUP: improved SNP-based prediction for complex traits | Q34153795 | ||
Predicting human height by Victorian and genomic methods | Q34326904 | ||
Power and predictive accuracy of polygenic risk scores. | Q34337027 | ||
Prediction of individual genetic risk to disease from genome-wide association studies | Q34676890 | ||
Polygenic dissection of the bipolar phenotype | Q34729917 | ||
Most common 'sporadic' cancers have a significant germline genetic component | Q34736858 | ||
Genome partitioning of genetic variation for complex traits using common SNPs | Q34973837 | ||
Harnessing the information contained within genome-wide association studies to improve individual prediction of complex disease risk | Q34988777 | ||
Mining the human phenome using allelic scores that index biological intermediates | Q35034381 | ||
Genomic inflation factors under polygenic inheritance | Q35108650 | ||
Massively expedited genome-wide heritability analysis (MEGHA). | Q35134802 | ||
Sixty-five common genetic variants and prediction of type 2 diabetes | Q35532317 | ||
Simultaneous discovery, estimation and prediction analysis of complex traits using a bayesian mixture model | Q35596725 | ||
Implications of polygenic risk-stratified screening for prostate cancer on overdiagnosis | Q35602297 | ||
Mendelian Randomization Study of Body Mass Index and Colorectal Cancer Risk | Q35815677 | ||
LD Score regression distinguishes confounding from polygenicity in genome-wide association studies | Q35831121 | ||
Mammographic breast density and breast cancer: evidence of a shared genetic basis | Q36043843 | ||
Height and Breast Cancer Risk: Evidence From Prospective Studies and Mendelian Randomization | Q36276540 | ||
Inherited determinants of Crohn's disease and ulcerative colitis phenotypes: a genetic association study | Q36468290 | ||
Genome partitioning of genetic variation for height from 11,214 sibling pairs | Q36492176 | ||
Prediction of breast cancer risk based on profiling with common genetic variants | Q36583004 | ||
An atlas of genetic correlations across human diseases and traits | Q36701237 | ||
Projecting the performance of risk prediction based on polygenic analyses of genome-wide association studies | Q37059182 | ||
P275 | copyright license | Creative Commons Attribution | Q6905323 |
P6216 | copyright status | copyrighted | Q50423863 |
P433 | issue | 4 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | genetics | Q7162 |
epidemiology | Q133805 | ||
biomedical investigative technique | Q66648976 | ||
multifactorial inheritance | Q67200773 | ||
P304 | page(s) | 268-272 | |
P577 | publication date | 2016-04-07 | |
2016-05-01 | |||
P1433 | published in | Genetic Epidemiology | Q5532864 |
P1476 | title | Polygenic Epidemiology | |
P478 | volume | 40 |
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Q38752201 | Genome-wide association study identifies four novel loci associated with Alzheimer's endophenotypes and disease modifiers |
Q46419306 | Genomics of Posttraumatic Stress Disorder: Sequencing Stress and Modeling Misfortune. |
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Q90453214 | Investigation of prediction accuracy and the impact of sample size, ancestry, and tissue in transcriptome-wide association studies |
Q40259459 | Letter to the Editor: Posttraumatic stress disorder has genetic overlap with cardiometabolic traits. |
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Q47703297 | No Genetic Overlap Between Circulating Iron Levels and Alzheimer's Disease |
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Q97692972 | Tutorial: a guide to performing polygenic risk score analyses |
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