MR2G: A novel framework for causal network inference using GWAS summary data.
Saved in:
| Title: | MR2G: A novel framework for causal network inference using GWAS summary data. |
|---|---|
| Authors: | Lin Z; Department of Statistics, Florida State University, Tallahassee, Florida, United States of America., Pan W; Division of Biostatistics and Health Data Science, School of Public Health, University of Minnesota, Minneapolis, Minnesota, United States of America., Xue H; Department of Biostatistics, City University of Hong Kong, Hong Kong, China. |
| Source: | PLoS genetics [PLoS Genet] 2026 May 26; Vol. 22 (5), pp. e1012144. Date of Electronic Publication: 2026 May 26 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101239074 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7404 (Electronic) Linking ISSN: 15537390 NLM ISO Abbreviation: PLoS Genet Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42189912 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: MR2G: A novel framework for causal network inference using GWAS summary data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Lin+Z%22">Lin Z</searchLink>; Department of Statistics, Florida State University, Tallahassee, Florida, United States of America.<br /><searchLink fieldCode="AU" term="%22Pan+W%22">Pan W</searchLink>; Division of Biostatistics and Health Data Science, School of Public Health, University of Minnesota, Minneapolis, Minnesota, United States of America.<br /><searchLink fieldCode="AU" term="%22Xue+H%22">Xue H</searchLink>; Department of Biostatistics, City University of Hong Kong, Hong Kong, China. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101239074%22">PLoS genetics</searchLink> [PLoS Genet] 2026 May 26; Vol. 22 (5), pp. e1012144. <i>Date of Electronic Publication: </i>2026 May 26 (<i>Print Publication: </i>2026). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101239074 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1553-7404 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2215537390%22">15537390 </searchLink><i>NLM ISO Abbreviation: </i>PLoS Genet <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42189912 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pgen.1012144 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e1012144 Titles: – TitleFull: MR2G: A novel framework for causal network inference using GWAS summary data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lin Z – PersonEntity: Name: NameFull: Pan W – PersonEntity: Name: NameFull: Xue H IsPartOfRelationships: – BibEntity: Dates: – D: 26 M: 05 Text: 2026 May 26 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1553-7404 Numbering: – Type: volume Value: 22 – Type: issue Value: 5 Titles: – TitleFull: PLoS genetics Type: main |
| ResultId | 1 |