Evidence map›Paper›PMID 35186019›Full record

ArticleFrontiers in genetics2021

Full Chromosomal Relationships Between Populations and the Origin of Humans.

Rui Dong, Shaojun Pei, Mengcen Guan, Shek-Chung Yau, Changchuan Yin, Rong L He, Stephen S-T Yau

Abstract read
In one paragraph

Article in Frontiers in genetics, 2021. 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

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

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.

Rui DongYau Mathematical Sciences Center, Tsinghua University, Beijing, China.
Shaojun PeiDepartment of Mathematical Sciences, Tsinghua University, Beijing, China.
Mengcen GuanDepartment of Mathematical Sciences, Tsinghua University, Beijing, China.
Shek-Chung YauInformation Technology Services Center, The Hong Kong University of Science and Technology, Kowloon, Hong Kong, China.
Changchuan YinDepartment of Mathematics, Statistics and Computer Science, University of Illinois at Chicago, Chicago, IL, United States.
Rong L HeDepartment of Biological Sciences, Chicago State University, Chicago, IL, United States.
Stephen S-T YauDepartment of Mathematical Sciences, Tsinghua University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A comprehensive description of human genomes is essential for understanding human evolution and relationships between modern populations. However, most published literature focuses on local alignment comparison of several genes rather than the complete evolutionary record of individual genomes. Combining with data from the 1,000 Genomes Project, we successfully reconstructed 2,504 individual genomes and propose Divided Natural Vector method to analyze the distribution of nucleotides in the genomes. Comparisons based on autosomes, sex chromosomes and mitochondrial genomes reveal the genetic relationships between populations, and different inheritance pattern leads to different phylogenetic results. Results based on mitochondrial genomes confirm the "out-of-Africa" hypothesis and assert that humans, at least females, most likely originated in eastern Africa. The reconstructed genomes are stored on our server and can be further used for any genome-scale analysis of humans (http://yaulab.math.tsinghua.edu.cn/2022_1000genomesprojectdata/). This project provides the complete genomes of thousands of individuals and lays the groundwork for genome-level analyses of the genetic relationships between populations and the origin of humans.

Indexed as

1000 genomes projectdivided natural vectornatural vectorpopulation geneticsreconstructed sequences

Identifiers

PMID35186019
PMCPMC8847220

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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.