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On whole-genome demography of world’s ethnic groups and individual genomic identity

Journal Article · · Scientific Reports
 [1];  [2];  [3]
  1. University of California, Berkeley, CA (United States); Incheon National University (Korea, Republic of)
  2. University of California, Berkeley, CA (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
  3. University of California, Berkeley, CA (United States); Incheon National University (Korea, Republic of); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
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All current categorizations of human population, such as ethnicity, ancestry and race, are based on various selections and combinations of complex and dynamic common characteristics, that are mostly societal and cultural in nature, perceived by the members within or from outside of the categorized group. During the last decade, a massive amount of a new type of characteristics, that are exclusively genomic in nature, became available that allows us to analyze the inherited whole-genome demographics of extant human, especially in the fields such as human genetics, health sciences and medical practices (e.g., 1,2,3), where such health-related characteristics can be related to whole-genome-based categorization. Here we show the feasibility of deriving such whole-genome-based categorization. We observe that, within the available genomic data at present, (a) the study populations form about 14 genomic groups, each consisting of multiple ethnic groups; and (b), at an individual level, approximately 99.8%, on average, of the whole autosomal-genome contents are identical between any two individuals regardless of their genomic or ethnic groups.
Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
2470994
Journal Information:
Scientific Reports, Journal Name: Scientific Reports Journal Issue: 1 Vol. 13; ISSN 2045-2322
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United States
Language:
English

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Insights into human genetic variation and population history from 929 diverse genomes journal March 2020
The quagmire of race, genetic ancestry, and health disparities journal June 2021
African evolutionary history inferred from whole genome sequence data of 44 indigenous African populations collection January 2019

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Related Subjects

59 BASIC BIOLOGICAL SCIENCES
bioinformatics
computational biology
evolution