Evidence map›Paper›PMID 38494535›Full record

ArticleMolecular genetics and genomics : MGG2024

Characterizing identity by descent segments in Chinese interpopulation unrelated individual pairs.

Qiqi Ji, Yining Yao, Zhimin Li, Zhihan Zhou, Jinglei Qian, Qiqun Tang, Jianhui Xie

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In one paragraph

Article in Molecular genetics and genomics : MGG, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

7 authors.

Qiqi JiDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China.
Yining YaoDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China.
Zhimin LiDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China.
Zhihan ZhouDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China.
Jinglei QianDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China.
Qiqun TangDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China.
Jianhui XieDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China. jhxie@fudan.edu.cn.ORCID http://orcid.org/0000-0002-6784-6997

Funding

National Natural Science Fund of China 82171875
6 · The paper itself

Abstract

Identity by descent (IBD) segments, uninterrupted DNA segments derived from the same ancestral chromosomes, are widely used as indicators of relationships in genetics. A great deal of research focuses on IBD segments between related pairs, while the statistical analyses of segments in irrelevant individuals are rare. In this study, we investigated the basic informative features of IBD segments in unrelated pairs in Chinese populations from the 1000 Genome Project. A total of 5922 IBD segments in Chinese interpopulation unrelated individual pairs were detected via IBIS and the average length of IBD was 3.71 Mb in length. It was found that 17.86% of unrelated pairs shared at least one IBD segment in the Chinese cohort. Furthermore, a total of 49 chromosomal regions where IBD segments clustered in high abundance were identified, which might be sharing hotspots in the human genome. Such regions could also be observed in other ancestry populations, which implies that similar IBD backgrounds also exist. Altogether, these results demonstrated the distribution of common background IBD segments, which helps improve the accuracy in pedigree studies based on IBD analysis.

Indexed as

Asian PeopleGenome, HumanChinaHumansPedigreeResearch Design1000 genome projectChinese populationsGenetic genealogyIdentity by descentSNP

Identifiers

PMID38494535

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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.