Article in G3 (Bethesda, Md.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing 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.
Matthew V RockmanDepartment of Biology and Center for Genomics & Systems Biology, New York University, New York, NY 10012, United States.ORCID 0000-0001-6492-8906
Max R BernsteinDepartment of Biology and Center for Genomics & Systems Biology, New York University, New York, NY 10012, United States.
Derin ÇağlarDepartment of Biology and Center for Genomics & Systems Biology, New York University, New York, NY 10012, United States.
M Victoria CattaniDepartment of Biology and Center for Genomics & Systems Biology, New York University, New York, NY 10012, United States.
Audrey S ChangDepartment of Biology and Center for Genomics & Systems Biology, New York University, New York, NY 10012, United States.
Taniya KaurDepartment of Biology and Center for Genomics & Systems Biology, New York University, New York, NY 10012, United States.
Luke M NobleDepartment of Biology and Center for Genomics & Systems Biology, New York University, New York, NY 10012, United States.ORCID 0000-0002-5161-4059
Annalise B PaabyDepartment of Biology and Center for Genomics & Systems Biology, New York University, New York, NY 10012, United States.ORCID 0000-0003-1422-047X
Funding
Enhancing and expanding the CGC Strain CollectionP40OD010440 · OD · UNIVERSITY OF MINNESOTA · PI Aric L Daul, Ann E. Rougvie · 2012 to 2026
$7.5M
Evolutionary Genetics of Animal DevelopmentR35GM141906 · NIGMS · NEW YORK UNIVERSITY · PI Matthew Rockman · 2021 to 2026
$2.6M
Genetic Architecture and Developmental Consequences of Conditionally Functional MutationsR35GM119744 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI PAABY, ANNALISE BLOSS · 2016 to 2020
$1.8M
Discovery and Characterization of Quantitative Trait NucleotidesR01GM089972 · NIGMS · NEW YORK UNIVERSITY · PI ROCKMAN, MATTHEW · 2009 to 2013
$1.5M
Genetic analysis of segregating recessive variationR01GM121828 · NIGMS · NEW YORK UNIVERSITY · PI ROCKMAN, MATTHEW · 2017 to 2020
$1.5M
EDGE CMT: deleterious recessive variation - from experimental data to predictive modelsR01HG013015 · NHGRI · NEW YORK UNIVERSITY · PI ROCKMAN, MATTHEW · 2023 to 2025
$1.1M
Discovering buffered developmental networks underlying C. elegans embryogenesisF32GM090557 · NIGMS · NEW YORK UNIVERSITY · PI PAABY, ANNALISE BLOSS · 2010 to 2012
$115k
Sexual conflict and reproductive gene evolution in CaenorhabditisF32HD065442 · NICHD · NEW YORK UNIVERSITY · PI CHANG, AUDREY · 2011 to 2012
Outbreeding populations harbor large numbers of recessive deleterious alleles that reduce the fitness of inbred individuals, and this inbreeding depression potentially shapes the evolution of mating systems, acting as a counterweight to the inherent selective advantage of self-fertilization. The population biological factors that influence inbreeding depression are numerous and often difficult to disentangle. We investigated the utility of obligately outcrossing Caenorhabditis nematodes as models for inbreeding depression. By systematically inbreeding lines from 10 populations and tracking line extinction, we found that inbreeding depression is universal but highly variable among species and populations. Inbreeding depression was detected across the life cycle, from mating to embryo production to embryonic viability and larval growth, and reciprocal crosses implicated female-biased effects. In most cases, the surviving inbred lines have dramatically reduced fitness, but the variance among inbred lines is substantial and compatible with the idea that inbreeding depression need not be an obstacle to the evolution of selfing in these worms. Populations of some species, including Caenorhabditis becei, exhibited modest inbreeding depression and could be tractable laboratory models for obligately outcrossing Caenorhabditis.
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.
Variation in inbreeding depression within and among Caenorhabditis species. · full record | OpenQuestion