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Fine-scale population structure of Malays in Peninsular Malaysia and Singapore and implications for association studies

Overview of attention for article published in Human Genomics, July 2015
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  • Good Attention Score compared to outputs of the same age (70th percentile)

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Title
Fine-scale population structure of Malays in Peninsular Malaysia and Singapore and implications for association studies
Published in
Human Genomics, July 2015
DOI 10.1186/s40246-015-0039-x
Pubmed ID
Authors

Boon-Peng Hoh, Lian Deng, Mat Jusoh Julia-Ashazila, Zakaria Zuraihan, Ma’amor Nur-Hasnah, Ab Rajab Nur‐Shafawati, Wan Isa Hatin, Ismail Endom, Bin Alwi Zilfalil, Yusoff Khalid, Shuhua Xu

Abstract

Fine scale population structure of Malays - the major population in Malaysia, has not been well studied. This may have important implications for both evolutionary and medical studies. Here, we investigated the population sub-structure of Malay involving 431 samples collected from all states from peninsular Malaysia and Singapore. We identified two major clusters of individuals corresponding to the north and south peninsular Malaysia. On an even finer scale, the genetic coordinates of the geographical Malay populations are in correlation with the latitudes (R(2) = 0.3925; P = 0.029). This finding is further supported by the pairwise FST of Malay sub-populations, of which the north and south regions showed the highest differentiation (FST [North-south] = 0.0011). The collective findings therefore suggest that population sub-structure of Malays are more heterogenous than previously expected even within a small geographical region, possibly due to factors like different genetic origins, geographical isolation, could result in spurious association as demonstrated in our analysis. We suggest that cautions should be taken during the stage of study design or interpreting the association signals in disease mapping studies which are expected to be conducted in Malay population in the near future.

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Other 3 12%
Student > Master 3 12%
Professor 3 12%
Professor > Associate Professor 2 8%
Other 6 23%
Unknown 4 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 23%
Agricultural and Biological Sciences 6 23%
Medicine and Dentistry 5 19%
Nursing and Health Professions 1 4%
Unspecified 1 4%
Other 1 4%
Unknown 6 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 20 November 2020.
All research outputs
#7,356,550
of 25,374,917 outputs
Outputs from Human Genomics
#177
of 564 outputs
Outputs of similar age
#79,480
of 275,281 outputs
Outputs of similar age from Human Genomics
#12
of 15 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 564 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 67% of its peers.
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 275,281 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.