Multi-ancestry modeling improves fine-mapping resolution, protein prediction, and discovery for proteome-wide association studies.
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| Title: | Multi-ancestry modeling improves fine-mapping resolution, protein prediction, and discovery for proteome-wide association studies. |
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| Authors: | Krueger CJ; Program in Bioinformatics, Loyola University Chicago, Chicago, IL, 60660, USA., Fischer M; Program in Bioinformatics, Loyola University Chicago, Chicago, IL, 60660, USA., Rizwan T; Program in Bioinformatics, Loyola University Chicago, Chicago, IL, 60660, USA., Kumar MM; Program in Bioinformatics, Loyola University Chicago, Chicago, IL, 60660, USA., Bhargava S; Program in Bioinformatics, Loyola University Chicago, Chicago, IL, 60660, USA., Gerszten R; Beth Israel Deaconess Medical Center, Boston, MA, 02215, USA., Taylor KD; The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA., Cho MH; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA., Rotter JI; The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA., Perera MA; Department of Pharmacology, Northwestern University, Chicago IL, 60611, USA., Hu X; Department of Genome Sciences, University of Virginia, Charlottesville, VA, 22908, USA., Manichaikul A; Department of Genome Sciences, University of Virginia, Charlottesville, VA, 22908, USA., Im HK; Section of Genetic Medicine, The University of Chicago, Chicago, IL, 60637, USA., Wheeler HE; Program in Bioinformatics, Loyola University Chicago, Chicago, IL, 60660, USA.; Department of Biology, Loyola University Chicago, Chicago, IL, 60660, USA. |
| Corporate Authors: | NHLBI TOPMed Consortium |
| Source: | MedRxiv : the preprint server for health sciences [medRxiv] 2026 Jul 01. Date of Electronic Publication: 2026 Jul 01. |
| Publication Type: | Journal Article; Preprint |
| Journal Info: | Country of Publication: United States NLM ID: 101767986 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: medRxiv Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42428118 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Multi-ancestry modeling improves fine-mapping resolution, protein prediction, and discovery for proteome-wide association studies. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Krueger+CJ%22">Krueger CJ</searchLink>; Program in Bioinformatics, Loyola University Chicago, Chicago, IL, 60660, USA.<br /><searchLink fieldCode="AU" term="%22Fischer+M%22">Fischer M</searchLink>; Program in Bioinformatics, Loyola University Chicago, Chicago, IL, 60660, USA.<br /><searchLink fieldCode="AU" term="%22Rizwan+T%22">Rizwan T</searchLink>; Program in Bioinformatics, Loyola University Chicago, Chicago, IL, 60660, USA.<br /><searchLink fieldCode="AU" term="%22Kumar+MM%22">Kumar MM</searchLink>; Program in Bioinformatics, Loyola University Chicago, Chicago, IL, 60660, USA.<br /><searchLink fieldCode="AU" term="%22Bhargava+S%22">Bhargava S</searchLink>; Program in Bioinformatics, Loyola University Chicago, Chicago, IL, 60660, USA.<br /><searchLink fieldCode="AU" term="%22Gerszten+R%22">Gerszten R</searchLink>; Beth Israel Deaconess Medical Center, Boston, MA, 02215, USA.<br /><searchLink fieldCode="AU" term="%22Taylor+KD%22">Taylor KD</searchLink>; The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA.<br /><searchLink fieldCode="AU" term="%22Cho+MH%22">Cho MH</searchLink>; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA.<br /><searchLink fieldCode="AU" term="%22Rotter+JI%22">Rotter JI</searchLink>; The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA.<br /><searchLink fieldCode="AU" term="%22Perera+MA%22">Perera MA</searchLink>; Department of Pharmacology, Northwestern University, Chicago IL, 60611, USA.<br /><searchLink fieldCode="AU" term="%22Hu+X%22">Hu X</searchLink>; Department of Genome Sciences, University of Virginia, Charlottesville, VA, 22908, USA.<br /><searchLink fieldCode="AU" term="%22Manichaikul+A%22">Manichaikul A</searchLink>; Department of Genome Sciences, University of Virginia, Charlottesville, VA, 22908, USA.<br /><searchLink fieldCode="AU" term="%22Im+HK%22">Im HK</searchLink>; Section of Genetic Medicine, The University of Chicago, Chicago, IL, 60637, USA.<br /><searchLink fieldCode="AU" term="%22Wheeler+HE%22">Wheeler HE</searchLink>; Program in Bioinformatics, Loyola University Chicago, Chicago, IL, 60660, USA.; Department of Biology, Loyola University Chicago, Chicago, IL, 60660, USA. – Name: AuthorCorporate Label: Corporate Authors Group: Au Data: <searchLink fieldCode="CA" term="%22NHLBI+TOPMed+Consortium%22">NHLBI TOPMed Consortium</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101767986%22">MedRxiv : the preprint server for health sciences</searchLink> [medRxiv] 2026 Jul 01. <i>Date of Electronic Publication: </i>2026 Jul 01. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Preprint – Name: TitleSource Label: Journal Info Group: Src Data: <i>Country of Publication: </i>United States <i>NLM ID: </i>101767986 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>NLM ISO Abbreviation: </i>medRxiv <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42428118 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.64898/2026.06.29.26356716 Languages: – Code: eng Text: English Titles: – TitleFull: Multi-ancestry modeling improves fine-mapping resolution, protein prediction, and discovery for proteome-wide association studies. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Krueger CJ – PersonEntity: Name: NameFull: Fischer M – PersonEntity: Name: NameFull: Rizwan T – PersonEntity: Name: NameFull: Kumar MM – PersonEntity: Name: NameFull: Bhargava S – PersonEntity: Name: NameFull: Gerszten R – PersonEntity: Name: NameFull: Taylor KD – PersonEntity: Name: NameFull: Cho MH – PersonEntity: Name: NameFull: Rotter JI – PersonEntity: Name: NameFull: Perera MA – PersonEntity: Name: NameFull: Hu X – PersonEntity: Name: NameFull: Manichaikul A – PersonEntity: Name: NameFull: Im HK – PersonEntity: Name: NameFull: Wheeler HE IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2026 Jul 01 Type: published Y: 2026 Titles: – TitleFull: MedRxiv : the preprint server for health sciences Type: main |
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