An efficient LASSO framework for admixture-aware polygenic scores.
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| Title: | An efficient LASSO framework for admixture-aware polygenic scores. |
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| Authors: | Ockerman F; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Chen BD; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Sun Q; Center for Computation and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA., Kharitonova EV; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Chen C; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Zhou LY; Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, USA., Loos RJF; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Kooperberg C; Fred Hutchinson Cancer Center, Division of Public Health Sciences, Seattle, WA, USA., Peters U; Fred Hutchinson Cancer Center, Division of Public Health Sciences, Seattle, WA, USA., Haessler J; Fred Hutchinson Cancer Center, Division of Public Health Sciences, Seattle, WA, USA., Reiner AP; Fred Hutchinson Cancer Center, Division of Public Health Sciences, Seattle, WA, USA., Jung SY; Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA; Translational Sciences Section, School of Nursing, Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA., Manson JE; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA., Nassir R; Department of Pathology, School of Medicine, Umm Al-Qura University, Mecca, Saudi Arabia., North KE; Department of Epidemiology, University of Texas Health Science Center at Houston, Houston, TX, USA., Buyske S; Department of Statistics, Rutgers University, Piscataway, NJ, USA., Haiman CA; Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA, USA., Conti DV; Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA., Wilkens LR; Department of Epidemiology, University of Hawaii Cancer Center, Honolulu, HI, USA., Lange EM; Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA., Cox NJ; Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA., Cao H; Department of Statistics, Florida State University, Tallahassee, FL, USA., Raffield LM; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA., Li Y; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: yun_li@med.unc.edu., Tao R; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA. Electronic address: r.tao@vumc.org. |
| Source: | HGG advances [HGG Adv] 2026 Jul 09; Vol. 7 (3), pp. 100628. Date of Electronic Publication: 2026 May 18. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101772885 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2666-2477 (Electronic) Linking ISSN: 26662477 NLM ISO Abbreviation: HGG Adv Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42157490 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An efficient LASSO framework for admixture-aware polygenic scores. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Ockerman+F%22">Ockerman F</searchLink>; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.<br /><searchLink fieldCode="AU" term="%22Chen+BD%22">Chen BD</searchLink>; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.<br /><searchLink fieldCode="AU" term="%22Sun+Q%22">Sun Q</searchLink>; Center for Computation and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA.<br /><searchLink fieldCode="AU" term="%22Kharitonova+EV%22">Kharitonova EV</searchLink>; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.<br /><searchLink fieldCode="AU" term="%22Chen+C%22">Chen C</searchLink>; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.<br /><searchLink fieldCode="AU" term="%22Zhou+LY%22">Zhou LY</searchLink>; Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, USA.<br /><searchLink fieldCode="AU" term="%22Loos+RJF%22">Loos RJF</searchLink>; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.<br /><searchLink fieldCode="AU" term="%22Kooperberg+C%22">Kooperberg C</searchLink>; Fred Hutchinson Cancer Center, Division of Public Health Sciences, Seattle, WA, USA.<br /><searchLink fieldCode="AU" term="%22Peters+U%22">Peters U</searchLink>; Fred Hutchinson Cancer Center, Division of Public Health Sciences, Seattle, WA, USA.<br /><searchLink fieldCode="AU" term="%22Haessler+J%22">Haessler J</searchLink>; Fred Hutchinson Cancer Center, Division of Public Health Sciences, Seattle, WA, USA.<br /><searchLink fieldCode="AU" term="%22Reiner+AP%22">Reiner AP</searchLink>; Fred Hutchinson Cancer Center, Division of Public Health Sciences, Seattle, WA, USA.<br /><searchLink fieldCode="AU" term="%22Jung+SY%22">Jung SY</searchLink>; Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA; Translational Sciences Section, School of Nursing, Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA.<br /><searchLink fieldCode="AU" term="%22Manson+JE%22">Manson JE</searchLink>; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Nassir+R%22">Nassir R</searchLink>; Department of Pathology, School of Medicine, Umm Al-Qura University, Mecca, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22North+KE%22">North KE</searchLink>; Department of Epidemiology, University of Texas Health Science Center at Houston, Houston, TX, USA.<br /><searchLink fieldCode="AU" term="%22Buyske+S%22">Buyske S</searchLink>; Department of Statistics, Rutgers University, Piscataway, NJ, USA.<br /><searchLink fieldCode="AU" term="%22Haiman+CA%22">Haiman CA</searchLink>; Department of Population and Public Health Sciences, Keck School of Medicine of USC, Los Angeles, CA, USA.<br /><searchLink fieldCode="AU" term="%22Conti+DV%22">Conti DV</searchLink>; Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.<br /><searchLink fieldCode="AU" term="%22Wilkens+LR%22">Wilkens LR</searchLink>; Department of Epidemiology, University of Hawaii Cancer Center, Honolulu, HI, USA.<br /><searchLink fieldCode="AU" term="%22Lange+EM%22">Lange EM</searchLink>; Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.<br /><searchLink fieldCode="AU" term="%22Cox+NJ%22">Cox NJ</searchLink>; Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA.<br /><searchLink fieldCode="AU" term="%22Cao+H%22">Cao H</searchLink>; Department of Statistics, Florida State University, Tallahassee, FL, USA.<br /><searchLink fieldCode="AU" term="%22Raffield+LM%22">Raffield LM</searchLink>; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.<br /><searchLink fieldCode="AU" term="%22Li+Y%22">Li Y</searchLink>; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: yun&#95;li@med.unc.edu.<br /><searchLink fieldCode="AU" term="%22Tao+R%22">Tao R</searchLink>; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA. Electronic address: r.tao@vumc.org. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101772885%22">HGG advances</searchLink> [HGG Adv] 2026 Jul 09; Vol. 7 (3), pp. 100628. <i>Date of Electronic Publication: </i>2026 May 18. – 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="%22Elsevier+Inc%22">Elsevier Inc </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101772885 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2666-2477 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226662477%22">26662477 </searchLink><i>NLM ISO Abbreviation: </i>HGG Adv <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42157490 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.xhgg.2026.100628 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 100628 Titles: – TitleFull: An efficient LASSO framework for admixture-aware polygenic scores. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ockerman F – PersonEntity: Name: NameFull: Chen BD – PersonEntity: Name: NameFull: Sun Q – PersonEntity: Name: NameFull: Kharitonova EV – PersonEntity: Name: NameFull: Chen C – PersonEntity: Name: NameFull: Zhou LY – PersonEntity: Name: NameFull: Loos RJF – PersonEntity: Name: NameFull: Kooperberg C – PersonEntity: Name: NameFull: Peters U – PersonEntity: Name: NameFull: Haessler J – PersonEntity: Name: NameFull: Reiner AP – PersonEntity: Name: NameFull: Jung SY – PersonEntity: Name: NameFull: Manson JE – PersonEntity: Name: NameFull: Nassir R – PersonEntity: Name: NameFull: North KE – PersonEntity: Name: NameFull: Buyske S – PersonEntity: Name: NameFull: Haiman CA – PersonEntity: Name: NameFull: Conti DV – PersonEntity: Name: NameFull: Wilkens LR – PersonEntity: Name: NameFull: Lange EM – PersonEntity: Name: NameFull: Cox NJ – PersonEntity: Name: NameFull: Cao H – PersonEntity: Name: NameFull: Raffield LM – PersonEntity: Name: NameFull: Li Y – PersonEntity: Name: NameFull: Tao R IsPartOfRelationships: – BibEntity: Dates: – D: 09 M: 07 Text: 2026 Jul 09 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 2666-2477 Numbering: – Type: volume Value: 7 – Type: issue Value: 3 Titles: – TitleFull: HGG advances Type: main |
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