ArticleJournal of computational biology : a journal of computational molecular cell biology2019
Improving Imputation Accuracy by Inferring Causal Variants in Genetic Studies.
Yue Wu, Farhad Hormozdiari, Jong Wha J Joo, Eleazar Eskin
Abstract read
In one paragraphArticle in Journal of computational biology : a journal of computational molecular cell biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from itWhat it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
4 authors.
Yue WuDepartment of Computer Science, University of California Los Angeles, Los Angeles, California.
Farhad HormozdiariDepartment of Computer Science, University of California Los Angeles, Los Angeles, California.
Jong Wha J JooDepartment of Computer Science and Engineering, Dongguk University, Seoul, South Korea.
Eleazar EskinDepartment of Computer Science, University of California Los Angeles, Los Angeles, California.
Funding
ULTRASTRUCTURE OF THE INTIMA IN EARLY LESION FORMATIONP01HL030568 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FOGELMAN, ALAN M · 1985 to 2019
$55.2MSystems genomics of metabolic syndrome traitsP01HL028481 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LUSIS, ALDONS JAKE · 1985 to 2019
$50.2MSubstance Abuse & Behavioral Disinhibition: Integrating Genes & EnvironmentU01DA024417 · NIDA · UNIVERSITY OF MINNESOTA · PI IACONO, WILLIAM G. · 2007 to 2010
$10.8MTraining U54EB020403 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2018
$10.1MIntegrative Center for Neurogenetics and Neurogenomics - OverallP30NS062691 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI COPPOLA, GIOVANNI · 2009 to 2018
$7.4MINTEGRATIVE GENETIC APPROACHES TO GENE-AIR POLLUTION INTERACTIONS IN ASTHMAR01ES021801 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI AKBARI, OMID, ALLAYEE, HOOMAN · 2012 to 2016
$3.9MAn integrated molecular approach to understand variation in iron metabolismR01GM083198 · NIGMS · UNIVERSITY OF FLORIDA · PI VULPE, CHRISTOPHER D · 2012 to 2015
$2.7MGenetic Regulation of Gene Expression and its Impact on Phenotypes - SupplementR01MH101782 · NIMH · STANFORD UNIVERSITY · PI SABATTI, CHIARA · 2013 to 2016
$1.3MCorrecting for Population Structure in Gene-by-Environment Interaction StudiesR01ES022282 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ESKIN, ELEAZAR · 2013 to 2015
$1.2MDiscovering the Genetic Basis of HypertensionK25HL080079 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ESKIN, ELEAZAR · 2006 to 2010
$685kNHLBI NIH HHS K25 HL080079NHLBI NIH HHS P01 HL028481NHLBI NIH HHS P01 HL030568NIBIB NIH HHS U54 EB020403NIDA NIH HHS U01 DA024417NIEHS NIH HHS R01 ES021801NIEHS NIH HHS R01 ES022282NIGMS NIH HHS R01 GM083198NIMH NIH HHS R01 MH101782NINDS NIH HHS P30 NS062691
6 · The paper itselfAbstract
PubMed holds no abstract for this paper.
Indexed as
SoftwareGenomeGenome-Wide Association StudyGenotypeHumansPhenotypePolymorphism, Single Nucleotidecausal variantsgenome-wide association studiesimputationsummary statistics.
Identifiers
PMID30272994
PMCPMC6856942
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