Evidence map›Paper›PMID 36610401›Full record

ArticleAmerican journal of human genetics2023

Unsupervised discovery of ancestry-informative markers and genetic admixture proportions in biobank-scale datasets.

Seyoon Ko, Benjamin B Chu, Daniel Peterson, Chidera Okenwa, Jeanette C Papp, David H Alexander, Eric M Sobel, Hua Zhou, Kenneth L Lange

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of human genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Estimation of genetic admixture proportions via haplotypes.Computational and structural biotechnology journal · 2024
    Article
4 · The record

Corrections and comments

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

9 authors.

Seyoon KoDepartment of Computational Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Biostatistics, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Benjamin B ChuDepartment of Computational Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA.
Daniel PetersonDepartment of Mathematics, Brigham Young University, Provo, UT 84602, USA.
Chidera OkenwaDepartment of Mathematics, University of California, Berkeley, Berkeley, CA 94720, USA.
Jeanette C PappDepartment of Human Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA.
David H AlexanderX Development LLC, Mountain View, CA 94043, USA.
Eric M SobelDepartment of Computational Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA. Electronic address: esobel@ucla.edu.
Hua ZhouDepartment of Computational Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Biostatistics, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Kenneth L LangeDepartment of Computational Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Statistics, University of California, Los Angeles, Los Angeles, CA 90095, USA.

Funding

Genomics, GPUs, and Next Generation Computational StatisticsR01HG006139 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SOBEL, ERIC · 2011 to 2023
$5.1M
Modeling, Inference, and Optimization for Genomic and Biomedical Big DataR35GM141798 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LANGE, KENNETH L · 2021 to 2025
$2.7M
NHGRI NIH HHS R01 HG006139NIGMS NIH HHS R35 GM141798
6 · The paper itself

Abstract

Admixture estimation plays a crucial role in ancestry inference and genome-wide association studies (GWASs). Computer programs such as ADMIXTURE and STRUCTURE are commonly employed to estimate the admixture proportions of sample individuals. However, these programs can be overwhelmed by the computational burdens imposed by the 10

Indexed as

Biological Specimen BanksGenome-Wide Association StudyGenetics, PopulationHumansLikelihood FunctionsPopulation GroupsSoftwareadmixtureAIMancestry-informative markerbiobank scalegenetic ancestryOpenADMIXTUREOpenMendelSKFRsparse clusteringsparse K-means with feature ranking

Identifiers

PMID36610401
PMCPMC9943729

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.