Article in Aging cell, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 23% of its field
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.
3 · Its place in the literature
Who cites it
3 citing papers in PubMed, 2 citations in OpenAlex.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
6 authors at 3 institutions in 3 countries.
Yizhou ZhuDepartment of Obstetrics and Gynecology, Columbia University, New York City, New York, USA.ORCID 0000-0002-0234-4603
Seungjin RyuDepartment of Pharmacology, College of Medicine, Hallym University, Chuncheon, Gangwon, Korea.
Archana TareDepartment of Genetics, Albert Einstein College of Medicine, Bronx, New York, USA.
Nir BarzilaiDepartment of Genetics, Albert Einstein College of Medicine, Bronx, New York, USA.
Gil AtzmonDepartment of Genetics, Albert Einstein College of Medicine, Bronx, New York, USA.
Yousin SuhDepartment of Obstetrics and Gynecology, Columbia University, New York City, New York, USA.
Albert Einstein College of Medicine · USCity University of New York · USHallym University · KR
Funding
THE IMPACT OF CELLULAR DEFENSE ON THE ROLE OF Ku80 IN GENOME MAINTENANCE AND LONGP01AG017242 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR SAN ANT · PI VIJG, JAN · 1999 to 2023
$46.1M
Validation and characterization of the identified variants associated with human longevity in mouse modelsU19AG056278 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI Zhengdong Zhang · 2017 to 2026
$24.5M
Data Analysis CoreU54AG076040 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PHATNANI, HEMALI · 2021 to 2025
$13.1M
Einstein's Nathan Shock Center of Excellence in Basic Biology of AgingP30AG038072 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI HUFFMAN, DEREK MAJOR · 2010 to 2024
$10.8M
Combinatorial Actions of Genetic Variants and Gender Bias of Alzherimer's DiseaseR01AG057706 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GAGE, FRED H, GLASS, CHRISTOPHER K · 2017 to 2021
$8.1M
Enhancer-based Immune and Beta Cell Dysregulation Underlying T1D RiskR01DK127778 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI EGLI, DIETER MEINRAD, ROSENFELD, MICHAEL G · 2020 to 2023
$4.5M
Systems Modeling of Alzheimers Disease in C. elegansRF1AG057341 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MURPHY, COLEEN TARA, SUH, YOUSIN · 2017 to 2017
$3.7M
New Methods to Uncover Global Transcriptional Programs for Disease Risk VariantsR01GM104459 · NIGMS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI SUH, YOUSIN · 2013 to 2016
$2.5M
From in vivo to in vitro heterochronic parabiosis to identify geronic factorsR01AG057433 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI RANDO, THOMAS A., SUH, YOUSIN · 2017 to 2020
$2.1M
The Aging vs Disease Trajectory Trees of CNS Cell Types Based on Simultaneous Single Nuclear Global Genomic AnalysesR01AG061521 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ROSENFELD, MICHAEL G, SUH, YOUSIN · 2019 to 2021
$2.1M
Regulatory Landscape of the Aging Human OvaryR01AG069750 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ROSENFELD, MICHAEL G, SUH, YOUSIN · 2020 to 2024
Genome-wide association studies (GWAS) have pinpointed the chromosomal locus 9p21.3 as a genetic hotspot for various age-related disorders. Common genetic variants in this locus are linked to multiple traits, including coronary artery diseases, cancers, and diabetes. Centenarians are known for their reduced risk and delayed onset of these conditions. To investigate whether this evasion of disease risks involves diminished genetic risks in the 9p21.3 locus, we sequenced this region in an Ashkenazi Jewish centenarian cohort (centenarians: n = 450, healthy controls: n = 500). Risk alleles associated with cancers, glaucoma, CAD, and T2D showed a significant depletion in centenarians. Furthermore, the risk and non-risk genotypes are linked to two distinct low-frequency variant profiles, enriched in controls and centenarians, respectively. Our findings provide evidence that the extreme longevity cohort is associated with collectively lower risks of multiple age-related diseases in the 9p21.3 locus.
Indexed as
Coronary Artery DiseaseNeoplasmsAged, 80 and overCentenariansGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansJewsLongevityPolymorphism, Single Nucleotide9p21age-related diseaseagingcentenarianslongevitypopulation genomics
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.
Targeted sequencing of the 9p21.3 region reveals association with reduced disease risks in Ashkenazi Jewish centenarians. · full record | OpenQuestion