Evidence map›Paper›PMID 29855708›Full record

ArticleHuman genetics2018

Genotype imputation for Han Chinese population using Haplotype Reference Consortium as reference.

Yuan Lin, Lu Liu, Sen Yang, Yun Li, Dongxin Lin, Xuejun Zhang, Xianyong Yin

Abstract read
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In one paragraph

Article in Human genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

7 authors.

Yuan LinCenter for Bioinformatics, School of Life Sciences, Peking University, Beijing, 100871, China.
Lu LiuInstitute of Dermatology and Department of Dermatology, First Affiliated Hospital, Anhui Medical University, Hefei, 81 Meishan Road, Hefei, 230032, Anhui, China.
Sen YangInstitute of Dermatology and Department of Dermatology, First Affiliated Hospital, Anhui Medical University, Hefei, 81 Meishan Road, Hefei, 230032, Anhui, China.
Yun LiDepartment of Genetics, School of Medicine, University of North Carolina, Chapel Hill, NC, 27519, USA.
Dongxin LinDepartment of Etiology and Carcinogenesis, Cancer Institute and Hospital, Chinese Academy of Medical Sciences, Beijing, 100021, China.
Xuejun ZhangInstitute of Dermatology and Department of Dermatology, First Affiliated Hospital, Anhui Medical University, Hefei, 81 Meishan Road, Hefei, 230032, Anhui, China.
Xianyong YinInstitute of Dermatology and Department of Dermatology, First Affiliated Hospital, Anhui Medical University, Hefei, 81 Meishan Road, Hefei, 230032, Anhui, China. xianyongyin@gmail.com.

Funding

Anhui Excellent Youth Fund 1808085J08Anhui Medical University Ph.D. Fund XJ201429National Natural Science Foundation of China (CN), Key Project 81130031National Natural Science Foundation of China (CN), Normal Project 81370044National Natural Science Foundation of China (CN), Youth Project 81000692
6 · The paper itself

Abstract

Genotype imputation is now routinely performed in genomic analysis. Reference panel size, that is, the number of haplotypes in the reference panel, has been well established to be one major driving factor of imputation accuracy. For that reason, huge efforts have been made worldwide to provide large reference panels, with the Haplotype Reference Consortium (HRC) being currently the largest available in the public domain. The imputation performance of HRC, whose major samples are Europeans, has been mainly evaluated in Europeans. We conducted whole-genome genotype imputation on two independent genome-wide genotyping datasets, one with 1000 European samples and the other with 1000 Han Chinese samples. We compared the results obtained using HRC with those using Phase III of the 1000 Genomes Project (1000G) reference panel. For the European dataset, using HRC improved imputation quality, especially for rare variants with minor allele-frequency (MAF) < 0.1%. However, 1000G demonstrates better performance in the Han Chinese dataset, in both imputation quality and number of well-imputed variants. We validated the performance of 1000G reference panel in a second, independent cohort of Han Chinese (N = 2402). Our study showcases the limitations of HRC for Han Chinese populations, strongly suggesting the necessity of building population-specific reference panels.

Indexed as

Genetics, PopulationGenotypeAsian PeopleChinaGene FrequencyGenome, HumanHaplotypesHuman Genome ProjectHumansReference Standards

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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.