scholarly article | Q13442814 |
P356 | DOI | 10.1371/JOURNAL.PGEN.1006493 |
P8608 | Fatcat ID | release_c24gi3hanjckjc6y6gd5tfw3fe |
P932 | PMC publication ID | 5201242 |
P698 | PubMed publication ID | 28036406 |
P50 | author | Nilanjan Chatterjee | Q21526241 |
Paolo Vineis | Q25999450 | ||
Stephen Chanock | Q27662321 | ||
Nathaniel Rothman | Q28050622 | ||
Montserrat García-Closas | Q28356305 | ||
Nuria Malats | Q28360608 | ||
Maria Teresa Landi | Q28606990 | ||
Hermann Brenner | Q28958315 | ||
Victoria Cortessis | Q46581470 | ||
Douglas F Levinson | Q59748818 | ||
Alan R. Sanders | Q67652837 | ||
Jonine Figueroa | Q71778357 | ||
Eric Jacobs | Q85550629 | ||
Yun-Chul Hong | Q85715844 | ||
Margaret Karagas | Q88162936 | ||
Alison P Klein | Q89907184 | ||
Jubao Duan | Q90172397 | ||
Gloria M Petersen | Q95972100 | ||
Harvey A. Risch | Q97531829 | ||
Debra T. Silverman | Q103839499 | ||
Neil Caporaso | Q107095573 | ||
Brian M. Wolpin | Q110920101 | ||
Pablo V Gejman | Q114270584 | ||
Adeline Seow | Q114328035 | ||
Baosen Zhou | Q114328051 | ||
Winton Moy | Q114441101 | ||
Rachael Z. Stolzenberg-Solomon | Q30002268 | ||
Laufey T. Amundadottir | Q30093106 | ||
Keitaro Matsuo | Q30506416 | ||
P2093 | author name string | Kai Yu | |
William Wheeler | |||
Donghui Li | |||
Jianxin Shi | |||
Ju-Hyun Park | |||
Qing Lan | |||
Lei Song | |||
Dongxin Lin | |||
Robert E Schoen | |||
Chao Agnes Hsiung | |||
Li Hsu | |||
Xing Hua | |||
I-Shou Chang | |||
Sonja T Berndt | |||
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Partitioning heritability of regulatory and cell-type-specific variants across 11 common diseases | Q34478075 | ||
Lung eQTLs to help reveal the molecular underpinnings of asthma | Q34499419 | ||
All SNPs are not created equal: genome-wide association studies reveal a consistent pattern of enrichment among functionally annotated SNPs | Q34699776 | ||
Joint analysis of psychiatric disorders increases accuracy of risk prediction for schizophrenia, bipolar disorder, and major depressive disorder | Q35059381 | ||
A meta-analysis of 87,040 individuals identifies 23 new susceptibility loci for prostate cancer | Q35248192 | ||
Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer | Q35996692 | ||
Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores | Q36133352 | ||
Estimation of effect size distribution from genome-wide association studies and implications for future discoveries | Q36191121 | ||
Partitioning heritability by functional annotation using genome-wide association summary statistics | Q36225291 | ||
Prediction of breast cancer risk based on profiling with common genetic variants | Q36583004 | ||
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Mapping cis- and trans-regulatory effects across multiple tissues in twins | Q37200482 | ||
Global analysis of DNA methylation variation in adipose tissue from twins reveals links to disease-associated variants in distal regulatory elements | Q37298169 | ||
Comprehensive functional annotation of 77 prostate cancer risk loci | Q37533894 | ||
Characterizing the genetic basis of methylome diversity in histologically normal human lung tissue | Q37696685 | ||
P275 | copyright license | Creative Commons CC0 License | Q6938433 |
P6216 | copyright status | copyrighted, dedicated to the public domain by copyright holder | Q88088423 |
P4510 | describes a project that uses | genome-wide association study | Q1098876 |
P433 | issue | 12 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | genome-wide association study | Q1098876 |
P304 | page(s) | e1006493 | |
P577 | publication date | 2016-12-01 | |
P1433 | published in | PLOS Genetics | Q1893441 |
P1476 | title | Winner's Curse Correction and Variable Thresholding Improve Performance of Polygenic Risk Modeling Based on Genome-Wide Association Study Summary-Level Data | |
P478 | volume | 12 |
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