Evidence map›Paper›PMID 37873338›Full record

ArticlebioRxiv : the preprint server for biology2023

Admix-kit: An Integrated Toolkit and Pipeline for Genetic Analyses of Admixed Populations.

Kangcheng Hou, Stephanie Gogarten, Joohyun Kim, Xing Hua, Julie-Alexia Dias, Quan Sun, Ying Wang, Taotao Tan, Polygenic Risk Methods in Diverse Populations (PRIMED) Consortium Methods Working Group, Elizabeth G Atkinson and 6 more

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In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Kangcheng HouBioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA.
Stephanie GogartenDepartment of Biostatistics, University of Washington, Seattle, WA, USA.
Joohyun KimVanderbilt Genetics Institute and Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Xing HuaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Julie-Alexia DiasDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Quan SunDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Ying WangProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Taotao TanDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Polygenic Risk Methods in Diverse Populations (PRIMED) Consortium Methods Working Group
Elizabeth G AtkinsonDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Alicia MartinProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Jonathan ShorttDepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Jibril HirboDepartment of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Yun LiDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Bogdan PasaniucBioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA.
Haoyu ZhangDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.

Funding

Polygenic Risk Score Methods Development Consortium Coordinating CenterU01HG011697 · NHGRI · UNIVERSITY OF WASHINGTON · PI Kenneth M. Rice · 2021 to 2026
$8.8M
Enabling improved applicability and transferability of polygenic scores across populationsU01HG011719 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI Alicia Martin · 2021 to 2026
$5.5M
PRS Center for Admixed Populations (CAPE)U01HG011715 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI Eimear Elizabeth Kenny, Leslie A Lange · 2021 to 2026
$5.2M
Empowering gene discovery and accelerating clinical translation for diverse admixed populationsR01HG012869 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI Elizabeth Grace Atkinson · 2023 to 2026
$3.1M
A framework enabling the genomic analysis of psychiatric traits across admixed populations.K01MH121659 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI ATKINSON, ELIZABETH GRACE · 2019 to 2022
$719k
NHGRI NIH HHS R01 HG012869NHGRI NIH HHS U01 HG011697NHGRI NIH HHS U01 HG011715NHGRI NIH HHS U01 HG011719NIMH NIH HHS K01 MH121659
6 · The paper itself

Abstract

Admixed populations, with their unique and diverse genetic backgrounds, are often underrepresented in genetic studies. This oversight not only limits our understanding but also exacerbates existing health disparities. One major barrier has been the lack of efficient tools tailored for the special challenges of genetic study of admixed populations. Here, we present admix-kit, an integrated toolkit and pipeline for genetic analyses of admixed populations. Admix-kit implements a suite of methods to facilitate genotype and phenotype simulation, association testing, genetic architecture inference, and polygenic scoring in admixed populations.

Identifiers

PMID37873338
PMCPMC10592849

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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.