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A genome wide pattern of population structure and admixture in peninsular Malaysia Malays

Overview of attention for article published in The HUGO Journal, October 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)

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13 X users
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2 Wikipedia pages

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14 Dimensions

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67 Mendeley
Title
A genome wide pattern of population structure and admixture in peninsular Malaysia Malays
Published in
The HUGO Journal, October 2014
DOI 10.1186/s11568-014-0005-z
Pubmed ID
Authors

Wan Isa Hatin, Ab Rajab Nur-Shafawati, Ali Etemad, Wenfei Jin, Pengfei Qin, Shuhua Xu, Li Jin, Soon-Guan Tan, Pornprot Limprasert, Merican Amir Feisal, Mohammed Rizman-Idid, Bin Alwi Zilfalil, The HUGO Pan-Asian SNP Consortium

Abstract

The Malays consist of various sub-ethnic groups which are believed to have different ancestral origins based on their migrations centuries ago. The sub-ethnic groups can be divided based on the region they inhabit; the northern (Melayu Kedah and Melayu Kelantan), western (Melayu Minang) and southern parts (Melayu Bugis and Melayu Jawa) of Peninsular Malaysia. We analyzed 54,794 autosomal single nucleotide polymorphisms (SNPs) which were shared by 472 unrelated individuals from 17 populations to determine the genetic structure and distributions of the ancestral genetic components in five Malay sub-ethnic groups namely Melayu Bugis, Melayu Jawa, Melayu Minang, Melayu Kedah, and Melayu Kelantan. We also have included in the analysis 12 other study populations from Thailand, Indonesia, China, India, Africa and Orang Asli sub-groups in Malay Peninsula, obtained from the Pan Asian SNP Initiative (PASNPI) Consortium and International HapMap project database. We found evidence of genetic influx from Indians to Malays, more in Melayu Kedah and Melayu Kelantan which are genetically different from the other Malay sub-ethnic groups, but similar to Thai Pattani. More than 98% of these northern Malays haplotypes could be found in either Indians or Chinese populations, indicating a highly admixture pattern among populations. Nevertheless, the ancestry lines of Malays, Indonesians and Thais were traced back to have shared a common ancestor with the Proto-Malays and Chinese. These results support genetic admixtures in the Peninsular Malaysia Malay populations and provided valuable information on the enigmatic demographical history as well as shed some insights into the origins of the Malays in the Malay Peninsula.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 1%
Unknown 66 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 13%
Researcher 7 10%
Student > Bachelor 7 10%
Student > Ph. D. Student 5 7%
Other 4 6%
Other 17 25%
Unknown 18 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 18%
Agricultural and Biological Sciences 11 16%
Medicine and Dentistry 7 10%
Nursing and Health Professions 3 4%
Psychology 3 4%
Other 10 15%
Unknown 21 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 March 2024.
All research outputs
#2,750,805
of 25,698,912 outputs
Outputs from The HUGO Journal
#4
of 31 outputs
Outputs of similar age
#31,024
of 275,224 outputs
Outputs of similar age from The HUGO Journal
#1
of 2 outputs
Altmetric has tracked 25,698,912 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 31 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one scored the same or higher as 27 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 275,224 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them