Evidence map›Paper›PMID 33574314›Full record

ArticleNPJ genomic medicine2021

Genetic profiles of 103,106 individuals in the Taiwan Biobank provide insights into the health and history of Han Chinese.

Chun-Yu Wei, Jenn-Hwai Yang, Erh-Chan Yeh, Ming-Fang Tsai, Hsiao-Jung Kao, Chen-Zen Lo, Lung-Pao Chang, Wan-Jia Lin, Feng-Jen Hsieh, Saurabh Belsare and 11 more

Open access · goldAbstract read
In one paragraph

Article in NPJ genomic medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 155 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
155citing papers in PubMed, 4 pooled it
36.5field-weighted citation impact, top 1% 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

155 citing papers in PubMed, 4 syntheses or guidelines pooled it, 259 citations in OpenAlex.

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  14. An introduction to polygenic scores - methodological basics and recent advances.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026
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95 more citing papers are in PubMed but not listed here.

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

21 authors at 3 institutions in 3 countries.

Chun-Yu Wei *Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Jenn-Hwai Yang *Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Erh-Chan YehInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Ming-Fang TsaiInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Hsiao-Jung KaoInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Chen-Zen LoInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Lung-Pao ChangInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Wan-Jia LinInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Feng-Jen HsiehInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Saurabh BelsareInstitute for Human Genetics, University of California, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-8148-1867
Anand BhaskarDepartment of Genetics, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-8425-6991
Ming-Wei SuInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Te-Chang LeeInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Yi-Ling LinInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Fu-Tong LiuInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Chen-Yang ShenInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Ling-Hui LiInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Chien-Hsiun ChenInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Jeffrey D WallInstitute for Human Genetics, University of California, San Francisco, CA, USA.
Jer-Yuarn WuInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Pui-Yan KwokInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan. pykwok@ibms.sinica.edu.tw.ORCID http://orcid.org/0000-0002-5087-3059
Institute of Biomedical Sciences, Academia Sinica · TWUniversity of California, San Francisco · USStanford University · US

Funding

New York Center for Collaborative Research In Common Disease Genomics: Genome Aggregation and Joint Variant Calling for CCDG Freeze2UM1HG008901 · NHGRI · NEW YORK GENOME CENTER · PI MANIATIS, THOMAS P, WIGLER, MICHAEL H · 2016 to 2020
$56.6M
Leveraging consanguinity and homozygosity to identify novel recessive variantsR01HG010689 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SALEHEEN, DANISH, TORGERSON, DARA · 2019 to 2022
$2.4M
Academia Sinica 40-05-GMMNHGRI NIH HHS R01 HG010689NHGRI NIH HHS UM1 HG008901
6 · The paper itself

Abstract

Personalized medical care focuses on prediction of disease risk and response to medications. To build the risk models, access to both large-scale genomic resources and human genetic studies is required. The Taiwan Biobank (TWB) has generated high-coverage, whole-genome sequencing data from 1492 individuals and genome-wide SNP data from 103,106 individuals of Han Chinese ancestry using custom SNP arrays. Principal components analysis of the genotyping data showed that the full range of Han Chinese genetic variation was found in the cohort. The arrays also include thousands of known functional variants, allowing for simultaneous ascertainment of Mendelian disease-causing mutations and variants that affect drug metabolism. We found that 21.2% of the population are mutation carriers of autosomal recessive diseases, 3.1% have mutations in cancer-predisposing genes, and 87.3% carry variants that affect drug response. We highlight how TWB data provide insight into both population history and disease burden, while showing how widespread genetic testing can be used to improve clinical care.

Identifiers

PMID33574314
PMCPMC7878858
OpenAlexW3127157887

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.