ReviewHuman genetics2020
OPENMENDEL: a cooperative programming project for statistical genetics.
Review in Human genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association of rs9939609 in FTO with BMI among Polynesian peoples living in Aotearoa New Zealand and other Pacific nations.Journal of human genetics · 2023Pooled it
- Article
- An approximate-copula distribution for statistical modeling.PLoS computational biology · 2026Article
- It's a wrap: deriving distinct discoveries with FDR control after a GWAS pipeline.bioRxiv : the preprint server for biology · 2025Article
- Direct and indirect genetic effects on early neurodevelopmental traits.Journal of child psychology and psychiatry, and allied disciplines · 2025Article
- Estimation of genetic admixture proportions via haplotypes.Computational and structural biotechnology journal · 2024Article
- A PolynesianHGG advances · 2023Article
- Article
- Multivariate genome-wide association analysis by iterative hard thresholding.Bioinformatics (Oxford, England) · 2023Article
- Cross-ancestry, cell-type-informed atlas of gene, isoform, and splicing regulation in the developing human brain.medRxiv : the preprint server for health sciences · 2023Article
- Unsupervised discovery of ancestry-informative markers and genetic admixture proportions in biobank-scale datasets.American journal of human genetics · 2023Article
- GeneticsMakie.jl: a versatile and scalable toolkit for visualizing locus-level genetic and genomic data.Bioinformatics (Oxford, England) · 2023Article
- On the importance of parenting in externalizing disorders: an evaluation of indirect genetic effects in families.Journal of child psychology and psychiatry, and allied disciplines · 2022Article
- Article
- Modern simulation utilities for genetic analysis.BMC bioinformatics · 2021Article
- Iterative hard thresholding in genome-wide association studies: Generalized linear models, prior weights, and double sparsity.GigaScience · 2020Article
- Heritability of interpack aggression in a wild pedigreed population of North American grey wolves.Molecular ecology · 2020Article
- Ordered multinomial regression for genetic association analysis of ordinal phenotypes at Biobank scale.Genetic epidemiology · 2020Article
- Special issue on 'Genetic epidemiology of complex diseases: impact of population history and modelling assumptions'.Human genetics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
Statistical methods for genome-wide association studies (GWAS) continue to improve. However, the increasing volume and variety of genetic and genomic data make computational speed and ease of data manipulation mandatory in future software. In our view, a collaborative effort of statistical geneticists is required to develop open source software targeted to genetic epidemiology. Our attempt to meet this need is called the OPENMENDEL project (https://openmendel.github.io). It aims to (1) enable interactive and reproducible analyses with informative intermediate results, (2) scale to big data analytics, (3) embrace parallel and distributed computing, (4) adapt to rapid hardware evolution, (5) allow cloud computing, (6) allow integration of varied genetic data types, and (7) foster easy communication between clinicians, geneticists, statisticians, and computer scientists. This article reviews and makes recommendations to the genetic epidemiology community in the context of the OPENMENDEL project.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.