Evidence map›Paper›PMID 29382849›Full record

ArticleScientific reports2018

Population-Wide Genetic Risk Prediction of Complex Diseases: A Pilot Feasibility Study in Macau Population for Precision Public Healthcare Planning.

Nancy B Y Tsui, Gregory Cheng, Teresa Chung, Christopher W K Lam, Anita Yee, Peter K C Chung, Tsz-Ki Kwan, Elaine Ko, Daihai He, Wing-Tak Wong and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Nancy B Y TsuiDepartment of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
Gregory ChengFaculty of Health Sciences, Macau University of Science and Technology, Taipa, Macau.
Teresa ChungDepartment of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
Christopher W K LamFaculty of Health Sciences, Macau University of Science and Technology, Taipa, Macau.
Anita YeeAvalon Genomics (Hong Kong) Limited, Shatin, Hong Kong.
Peter K C ChungAvalon Genomics (Hong Kong) Limited, Shatin, Hong Kong.
Tsz-Ki KwanAvalon Genomics (Hong Kong) Limited, Shatin, Hong Kong.
Elaine KoAvalon Genomics (Hong Kong) Limited, Shatin, Hong Kong.
Daihai HeDepartment of Applied Mathematics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
Wing-Tak WongDepartment of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
Johnson Y N LauDepartment of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
Lok Ting LauDepartment of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Hong Kong. terence.lt.lau@polyu.edu.hk.
Manson FokFaculty of Health Sciences, Macau University of Science and Technology, Taipa, Macau. mfok@must.edu.mo.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genetic bases of many common diseases have been identified through genome-wide association studies in the past decade. However, the application of this approach on public healthcare planning has not been well established. Using Macau with population of around 650,000 as a basis, we conducted a pilot study to evaluate the feasibility of population genomic research and its potential on public health decisions. By performing genome-wide SNP genotyping of over a thousand Macau individuals, we evaluated the population genetic risk profiles of 47 non-communicable diseases and traits, as well as two traits associated with influenza infection. We found that for most of the diseases, the genetic risks of Macau population were different from those of Caucasian, but with similar profile with mainland Chinese. We also identified a panel of diseases that Macau population may have a high or elevated genetic risks. This pilot study showed that (1) population genomic study is feasible in Asian regions like Macau; (2) Macau may have different profile of population-based genetic risks than Caucasians, (3) the different prevalence of genetic risk profile indicates the importance of Asian-specific studies for Asian populations; and (4) the results generated may have an impact for going forward healthcare planning.

Indexed as

Genetics, PopulationPrecision MedicinePublic HealthAdolescentAdultAgedDelivery of Health CareDiseaseFeasibility StudiesFemaleGenome-Wide Association StudyHumansMacauMaleMiddle AgedPilot Projects

Identifiers

PMID29382849
PMCPMC5789865

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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.