In one paragraphArticle in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
What 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
5 · Who and what moneyAuthors and funding
16 authors.
Yon Ho JeeAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0003-4686-2186 Ying WangAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
Kristin TsuoAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
David C QianDepartment of Thoracic Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0002-8459-009X Hailiang HuangAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0003-1461-5762 Jinyoung ByunInstitute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA.
Bogdan PasaniucBioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA.
Elizabeth G AtkinsonDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0002-6308-776X Christopher I AmosInstitute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0002-8540-7023 Alicia R MartinAnalytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0003-0241-3522 Funding
Genetic and Genomic Characterization of the Occurrence and Progression of Interstitial Lung AbnormalitiesR01HL135142 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MICHAEL H. CHO, GARY MATTHEW HUNNINGHAKE · 2017 to 2026
$7.7MEnabling improved applicability and transferability of polygenic scores across populationsU01HG011719 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI Alicia Martin · 2021 to 2026
$5.5MPartners Healthcare Training Program in Precision and Genomic MedicineT32HG010464 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI HEIDI L REHM, JORDAN W SMOLLER · 2019 to 2026
$3.1MUncovering the genetically-driven differential susceptibility to chronic obstructive pulmonary disease and pulmonary fibrosisR01HL162813 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MICHAEL H. CHO · 2023 to 2026
$3.1MEmpowering gene discovery and accelerating clinical translation for diverse admixed populationsR01HG012869 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI Elizabeth Grace Atkinson · 2023 to 2026
$3.1MIntegrative genomic, transcriptomic and proteomic studies of pulmonary function and COPDR01HL153248 · NHLBI · UNIVERSITY OF VIRGINIA · PI CHO, MICHAEL H., MANICHAIKUL, ANI WANG · 2021 to 2024
$2.8MIdentifying Subtypes of COPD Using Metabolomic and Genomic ApproachesR01HL168199 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MICHAEL H. CHO · 2024 to 2026
$2.1MDeciphering respiratory disease mechanisms through integration of genomic and functional data across massive global biobanksR01HL179112 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI Alicia Martin · 2025 to 2026
$1.6MGeneralizing polygenic risk prediction methods across populations for insights into psychiatric diseaseR00MH117229 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI MARTIN, ALICIA · 2020 to 2022
$724kNHGRI NIH HHS R01 HG012869NHGRI NIH HHS T32 HG010464NHGRI NIH HHS U01 HG011719NHLBI NIH HHS R01 HL135142NHLBI NIH HHS R01 HL153248NHLBI NIH HHS R01 HL162813NHLBI NIH HHS R01 HL168199NHLBI NIH HHS R01 HL179112NIMH NIH HHS R00 MH117229
6 · The paper itselfAbstract
While respiratory diseases such as COPD and asthma share many risk factors, most studies investigate them in insolation and in predominantly European ancestry populations. Here, we conducted the most powerful multi-trait and -ancestry genetic analysis of respiratory diseases and auxiliary traits to date. Our approach improves the power of genetic discovery across traits and ancestries, identifying 44 novel loci associated with lung function in individuals of East Asian ancestry. Using these results, we developed PRSxtra (cross TRait and Ancestry), a multi-trait and -ancestry polygenic risk score approach that leverages shared components of heritable risk via pleiotropic effects. PRSxtra significantly improved the prediction of asthma, COPD, and lung cancer compared to trait- and ancestry-matched PRS in a multi-ancestry cohort from the All of Us Research Program, especially in diverse populations. PRSxtra identified individuals in the top decile with over four-fold odds of asthma and COPD compared to the first decile. Our results present a new framework for multi-trait and -ancestry studies of respiratory diseases to improve genetic discovery and polygenic prediction.
Identifiers
PMID39252935
PMCPMC11383478
What Socratic holds
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