Article in Science (New York, N.Y.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.
0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
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 registry
The 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.
Patrick F Sullivan *Department of Genetics, University of North Carolina Medical School, Chapel Hill, NC 27599, USA.ORCID 0000-0002-6619-873X
Jennifer R S Meadows *Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, 75132 Uppsala, Sweden.ORCID 0000-0002-0850-230X
Steven Gazal *Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.ORCID 0000-0003-4510-5730
BaDoi N PhanDepartment of Computational Biology, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA.ORCID 0000-0001-6331-5980
Xue LiProgram in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA 01605, USA.ORCID 0000-0002-9126-2692
Diane P GenereuxProgram in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA 01605, USA.ORCID 0000-0001-5770-0989
Michael X DongDepartment of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, 75132 Uppsala, Sweden.ORCID 0000-0003-4084-3099
Matteo BianchiDepartment of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, 75132 Uppsala, Sweden.ORCID 0000-0003-3394-6495
Gregory AndrewsProgram in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA 01605, USA.ORCID 0000-0002-9880-3965
Sharadha SakthikumarDepartment of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, 75132 Uppsala, Sweden.ORCID 0000-0002-7746-8264
Jessika NordinDepartment of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, 75132 Uppsala, Sweden.ORCID 0000-0002-8414-2190
Ananya RoyDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, 75185 Uppsala, Sweden.
Matthew J ChristmasDepartment of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, 75132 Uppsala, Sweden.ORCID 0000-0002-6355-7581
Voichita D MarinescuDepartment of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, 75132 Uppsala, Sweden.ORCID 0000-0002-4803-4707
Chao WangDepartment of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, 75132 Uppsala, Sweden.ORCID 0000-0003-3936-4023
Ola WallermanDepartment of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, 75132 Uppsala, Sweden.ORCID 0000-0003-1037-7904
Steven K ReillyDepartment of Genetics, Yale School of Medicine, New Haven, CT 06510, USA.ORCID 0000-0003-3140-1483
Graham M HughesSchool of Biology and Environmental Science, University College Dublin, Belfield, Dublin 4, Ireland.ORCID 0000-0003-3088-345X
Zhiping WengProgram in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA 01605, USA.ORCID 0000-0002-3032-7966
Andreas R PfenningDepartment of Computational Biology, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA.ORCID 0000-0002-3447-9801
Karin Forsberg-NilssonDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, 75185 Uppsala, Sweden.ORCID 0000-0003-0692-6245
Elinor K Karlsson *Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA 01605, USA.ORCID 0000-0002-4343-3776
Kerstin Lindblad-Toh *Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, 75132 Uppsala, Sweden.ORCID 0000-0001-8338-0253
Funding
The UCSC Genome BrowserU41HG002371 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI KENT, WILLIAM JAMES · 2012 to 2021
$36.6M
GENCODE: comprehensive reference genome annotation for human and mouseU24HG007234 · NHGRI · EUROPEAN MOLECULAR BIOLOGY LABORATORY · PI Fergal James Martin · 2021 to 2026
$16.1M
Polygenic risk scores for cardiometabolic disorders: the role of blood cells immune response and evolutionary adaptationU01HG011720 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Yun Li, ALEXANDER P REINER · 2021 to 2026
$5.4M
Modeling the interaction of physiological and environmental stressors on common variants to psychiatric traitsR01ES033630 · NIEHS · YALE UNIVERSITY · PI Kristen Jennifer Brennand · 2022 to 2026
$4.6M
Predicting the multi-omic impact of psychiatric GWAS associationsR01MH118278 · NIMH · YALE UNIVERSITY · PI HUCKINS, LAURA MARIANNE · 2019 to 2023
$3.6M
Transforming family dogs into a powerful and accessible model for human cancerR37CA218570 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI KARLSSON, ELINOR · 2018 to 2022
$3.2M
The 200 mammals project: sequencing genomes by a novel cost-effective method, yielding a high resolution annotation of the human genome.R01HG008742 · NHGRI · BROAD INSTITUTE, INC. · PI BIRREN, BRUCE W., KARLSSON, ELINOR · 2016 to 2020
$2.8M
Massively parallel characterization of psychiatric disease associated regulatory elements in defined cell typesU01MH116438 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AHITUV, NADAV, POLLARD, KATHERINE S. · 2018 to 2021
$2.7M
Enabling Comparative PangenomicsR01HG010485 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI HAUSSLER, DAVID H, MARTIN, FERGAL JAMES · 2020 to 2023
$2.6M
Interpreting the regulatory mechanisms underlying the predisposition to substance use disordersDP1DA046585 · NIDA · CARNEGIE-MELLON UNIVERSITY · PI PFENNING, ANDREAS ROBERT · 2018 to 2022
$2.4M
Characterizing genetic signatures of natural selection to understand human diseasesR35GM147789 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Steven Gazal · 2022 to 2026
$2.0M
3/7 Psychiatric Genomics Consortium: Advancing Discovery and ImpactR01MH124839 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ANDREASSEN, OLE A, HUCKINS, LAURA MARIANNE · 2021 to 2025
Thousands of genomic regions have been associated with heritable human diseases, but attempts to elucidate biological mechanisms are impeded by an inability to discern which genomic positions are functionally important. Evolutionary constraint is a powerful predictor of function, agnostic to cell type or disease mechanism. Single-base phyloP scores from 240 mammals identified 3.3% of the human genome as significantly constrained and likely functional. We compared phyloP scores to genome annotation, association studies, copy-number variation, clinical genetics findings, and cancer data. Constrained positions are enriched for variants that explain common disease heritability more than other functional annotations. Our results improve variant annotation but also highlight that the regulatory landscape of the human genome still needs to be further explored and linked to disease.
Indexed as
DiseaseGenetic VariationAnimalsBiological EvolutionGenome, HumanGenome-Wide Association StudyGenomicsHumansMolecular Sequence AnnotationPolymorphism, Single Nucleotide
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
Leveraging base-pair mammalian constraint to understand genetic variation and human disease. · full record | OpenQuestion