Literature DB >> 34727349

Association of the HtrA1 rs11200638 Polymorphism with Neovascular Age-Related Macular Degeneration in Indonesia.

Supanji Supanji1,2,3,4, Ayudha Bahana Ilham Perdamaian5,6, Dewi Fathin Romdhoniyyah5,6, Muhammad Bayu Sasongko5,6,7, Angela Nurini Agni5,6,7, Firman Setya Wardhana5,6,7, Tri Wahyu Widayanti5,6,7, Muhammad Eko Prayogo5,6,7, Chio Oka8, Masashi Kawaichi8.   

Abstract

INTRODUCTION: The aim of this study was to investigate the association of the HtrA1 rs11200638 polymorphism with neovascular age-related macular degeneration (nAMD) in Indonesia.
METHODS: This case-control study included 80 patients with nAMD and 85 controls. Demographic parameters and whole blood were collected from each participant. Genomic DNA was extracted and used to assess the rs11200638 genotype by PCR and restriction enzyme digestion. Associations between the HtrA1 rs11200638 polymorphism and other risk factors for susceptibility to nAMD were assessed using the logistic regression model.
RESULTS: Significant allelic associations between the HtrA1 polymorphism and nAMD were detected (odds ratio [OR] 8.67; 95% confidence interval [CI] 4.88-15.41; P < 0.001). Genotype analysis showed a statistical difference between the nAMD group and the control group (P < 0.001). In the multiple adjusted logistic regression model, people with the AA genotype were more likely to have nAMD although there was a wide confidence interval (OR 19.65; 95% CI 4.52-85.38; P < 0.001).
CONCLUSION: Our findings show that the risk of nAMD increased in the presence of risk alleles of HtrA1 rs11200638.
© 2021. The Author(s).

Entities:  

Keywords:  Age-related macular degeneration; HtrA1; Polymorphism

Year:  2021        PMID: 34727349      PMCID: PMC8770728          DOI: 10.1007/s40123-021-00402-w

Source DB:  PubMed          Journal:  Ophthalmol Ther


Key Summary Points

Introduction

Age-related macular degeneration (AMD) is a progressive degenerative disease affecting the macula and is among the five leading causes of vision loss worldwide [1]. AMD results from a sequence of deterioration processes that occur in photoreceptors, the retinal pigment epithelium (RPE), and Bruch’s membrane (BM). These result in an irreversible lesion that manifests clinically as geographic atrophy (dry AMD) or they cause aberrant blood vessels originating from the choroid to leak at the macular region (neovascular AMD [nAMD]). If untreated, these conditions can lead to permanent vision loss. It is notable that that not all aged individuals follow the similar processes and develop AMD, implying a genetic-driven pathophysiology of the disease process. High-temperature requirement A1 (HtrA1) is one of important genetic factors in nAMD etiology, in addition to Age-related maculopathy susceptibility 2 (ARMS2) and Complement factor H (CFH). The HtrA1 genetic variant rs11200638 is located precisely at the HtrA1 promoter. The three most strongly associated loci identified to date are located on chromosome one (1q31), CFH (rs1061170), chromosome 10 (10q26), ARMS2 (rs10490924; del443ins54), and HtrA1 (rs11200638) [2]. In an earlier study, we have shown that the ARMS2 rs10490924 and del443ins54 variants show a strong association with nAMD in Indonesia [3]. The position of the rs11200638 polymorphism in the genome is very close to those of the rs10490924 and del443ins54 polymorphisms [4-7]. These single nucleotide polymorphisms segregate together during chromosome crossing-over, resulting in almost all cases having the same status (wildtype, carrier, and mutant homozygote) with each other. Research has also shown that these two loci are highly predictive (i.e., in near perfect linkage disequilibrium [D′ > 0.98]) for AMD [7]. Therefore, investigation of the presence of the rs11200638 polymorphism in Indonesia will provide a large overview of the epidemiology and pathogenesis of nAMD. Replication studies on different ethnic populations show consistent results [7-20], but there are no reports on Indonesian populations. In addition to CFH and ARMS2 [3], no other genetics factors have been examined in Indonesia. The aim of this study was to investigate the associations of HtrA1 with nAMD in the Indonesian population, of which the majority ethnic group is the Asian Malay group.

Methods

This case–control study included participants aged ≥ 45 years. Between 2016 and 2018 we recruited 80 patients with nAMD and 85 age-matched control participants into this study.The purpose of the research and the procedures were fully explained prior to the participants signing an informed consent form and undergoing blood collection and comprehensive ophthalmologic examinations. The study was approved by the Medical and Health Research Ethics Committee of the Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada (ethics number: KE/FK/864/EC [5 August 2016]; KE/FK/1109/EC/2017 [12 October 2017]; KE/FK/1108/EC/2018 [18 October 2018]). This study adhered to the ethical standards of the Declaration of Helsinki of 1964 and its later amendments. The inclusion/exclusion criteria and the criteria for AMD diagnosis were as reported previously [3].

Genotyping

The procedures followed for extraction of the genomic DNA and gene amplification were as described previously [3]. The primer sequences were: forward 5′-TTCCCATCTGAGACCGCT-3′ and reverse 5′-GGAAAGTTCCTGCAAATCG-3′ [17]. The PCR cycling conditions were: 1 cycle of 95 °C for 10 min, followed by 35 cycles of 95 °C for 45 s, 55 °C for 45 s, 72 °C for 45 s, with a final cycle of 72 °C for 5 min. For genotype discrimination, the 400-bp amplicon was digested with 5 U of EagI restriction enzyme (New England BioLabs, Ipswich. MA, USA) by an overnight incubation at 37 °C. Following electrophoresis in 2% agarose gels, the DNA bands were visualized with fluorosafe DNA staining (1st Base Asia, Selangor, Malaysia; Cat. No. BIO-5170-1 ml). The undigested samples were determined to be the AA genotype, whereas the partially or totally digested samples were designated the AG or GG genotype. Sanger sequencing was used to verify each genotype (AA; GA; GG) in the nAMD patient and control groups.

Statistical Analysis

A complete case analysis of those with complete covariate and genetic data was performed. Statistical analysis, including the Hardy–Weinberg equilibrium (HWE) test and multivariable logistic regression, were performed using STATA® version 16 (StataCorp, College Station, TX, USA) as reported previously [3].

Results

Blood samples were collected from 80 patients with nAMD and 85 controls, all of whom were Indonesian. The cases and controls were similar in terms of demographic data (Table 1). The average age of the patient and control groups was 67.3 and 68.2 years, respectively; 50.0 and 54.0% of the patient and control groups were female; and the mean body mass index (BMI) for AMD cases and controls was 23.6 and 22.2 kg/m2, respectively. Most participants were predominantly working indoors with less exposure to sunlight (72% for both AMD cases and controls). The number of AMD patients with high blood pressure was significantly higher in the nAMD group than in the controls.
Table 1

Demographic characteristics of study participants

Demographic characteristicsCase group (n = 80)Control group (n = 85)P
Age, years0.49
 Range (median)45–82 (67.5)49–99 (69)
 Mean ± SD67.3 ± 8.468.2 ± 7.8
Sex0.55
 Male33 (41.0%)39 (46.0%)
 Female47 (59.0%)46 (54.0%)
BMI (kg/m2)0.02
 Range (median)16.7–37.1 (23.3)15.2–36.8 (21.5)
 Mean ± SD23.6 ± 3.522.2 ± 4.2
Sunlight exposure0.92
 Indoor workplace58 (72.0%)61 (72.0%)
 Outdoor workplace22 (28.0%)24 (28.0%)
Smoking0.75
 Never61 (76.0%)63 (74.0%)
 Ever19 (24.0%)22 (26.0%)
Blood pressure < 0.001
 Normal blood pressure44 (55.0%)68 (80.0%)
 High blood pressure36 (45.0%)17 (20.0%)

BMI Body mass index, nAMD neovascular age-related macular degeneration, SD standard deviation

Demographic characteristics of study participants BMI Body mass index, nAMD neovascular age-related macular degeneration, SD standard deviation The allele and genotype distributions of the HtrA1 rs11200638 polymorphism are summarized in Table 2. Comparison of the cases and controls revealed a statistically significant difference in the allele or genotype distributions of HtrA1 rs11200638 (P < 0.001). The A allele frequency was 88.7% in nAMD patients and 42.2% in controls. There was a higher percentage of AA genotypes in the nAMD group (77.4%) than in the control group (22.6%), and the opposite was true for AG genotypes, which were less frequent in the nAMD group (21.8%) than in the control group (76.2%). The unconditional logistic regression analysis showed that the A allele was associated with an increased risk of nAMD (odds ratio [OR] 8.67; 95% confidence Interval [CI] 4.88–15.41; P < 0.001). Similarly, an association was found in adjusted logistic regression model with a per-A-allele OR of 3.73 (95% CI 1.11–12.56; P = 0.034).
Table 2

Distribution of alleles and genotypes of the HtrA1 rs11200638 polymorphism

AlleleAllele distribution, n (%)PGenotypeGenotype distribution, n (%)P valueP (HWE)
Case groupControl groupCase groupControl group
G18 (11.3%)89 (57.8%) < 0.001GG3 (11.5%)23 (88.5%) < 0.0010.204
A142 (88.7%)65 (42.2%)GA12 (21.8%)43 (76.2%)
AA65 (77.4%)19 (22.6%)

CI Confidence interval, HWE Hardy–Weinberg equilibrium in control group, OR odds ratio

Distribution of alleles and genotypes of the HtrA1 rs11200638 polymorphism CI Confidence interval, HWE Hardy–Weinberg equilibrium in control group, OR odds ratio Individuals with the AA genotype were found to have strong association with nAMD in the unadjusted logistic regression analysis (OR 26.23; 95% CI: 7.10–96.93; P < 0.001), age- and sex-adjusted logistic regression analysis (OR 26.85; 95% CI 7.10–101.49), and the multiple variable logistic regression analysis (OR 19.65; 95% CI 4.52–85.38; P < 0.001) (Table 3). Additionally, the multiple variable logistic regression analysis showed that hypertension was associated with an increased risk for nAMD (OR 3.4; 95% CI 1.30–8.95; P = 0.013). No significant association was found between BMI and smoking with nAMD in the multiple variable logistic regression analysis (P ≥ 0.05).
Table 3

Association between the HtrA1 rs11200638 polymorphism and nAMD in an Indonesian population

GenotypeCrude OR (95% CI)PAdjusted OR (95% CI)aPAdjusted OR (95% CI)bP
GG1.00 (reference)1.00 (reference)1.00 (reference)
GA2.14 (0.55–8.36)0.2741.80 (0.45–7.22)0.4091.37 (0.30–6.21)0.683
AA26.23 (7.10–96.93) < 0.00126.85 (7.10–101.49) < 0.00119.65 (4.52–85.38) < 0.001

aAdjusted for age and sex

bAdjusted for smoking, body mass index, and blood pressure

Association between the HtrA1 rs11200638 polymorphism and nAMD in an Indonesian population aAdjusted for age and sex bAdjusted for smoking, body mass index, and blood pressure

Discussion

We identified an association between the HtrA1 rs11200638 polymorphism and nAMD in an Indonesian population. However, these results should be interpreted cautiously due to the wide confidence interval, possibly due to the small sample size [21]. The findings from this gender and age-matched case–control study suggest that either A alleles or AA genotypes of the HtrA1 rs11200638 polymorphism were associated with the onset of nAMD. Patients with the AA genotype were more prone to have AMD by nearly 26-fold. The association remained strong after data adjustment with smoking, BMI, and blood pressure. People with the AA genotype had a 20-fold increased risk of having nAMD than those with the GG genotype. This finding is similar to results from other studies in other ethnic groups [12, 17–19, 22–24]. An association between HtrA1 and nAMD has also been found in other countries (Table 4). In Southeast Asia, similar results were also reported in Malaysia [23].
Table 4

Results from studies on the association between the HtrA1 polymorphism and nAMD

ReferencesLocationEthnicitySampleOR (95% CI)
DeWan et al. [8]ChinaChinese96 cases and 130 controlsaORhom = 10 (4.38–22.82)
Mori et al. [13]JapanEast Asian123 cases and 133 controlsaORhom = 5.59 (2.66–11.76)
Lin et al. [14]TaiwanTaiwanese Chinese95 cases and 90 controlsbORhet = 1.97 (0.81–4.81), ORhom = 8.59, (3.28–22.49)
Yan et al. [25]ChinaHan Chinese109 cases, 150 controlsOR GA + AA = 2.02 (1.20–3.39)
Tam et al. [15]ChinaChinese163 cases and 183 controlsb

ORhet = 1.88 (0.96–3.66)

ORhom = 7.6 (3.94–14.51)

Gong et al. [16]ChinaChinese99 cases and 73 controlsORhom = 4.19 (2.28–7.70)
Lana et al. [17]BrazilSouth American204 cases and 166 controlsORhom = 25.97 ± 4.42 (16.75–34.32)
Abbas and Azzazy [18]EgyptArabic26 cases and 20 controlsORhet+hom = 6 (1.4–24.7)
Kaur et al. [19]IndiaEast Asian250 cases and 250 controlsORhom = 6.69 (3.69–12.10)
Matušková et al. [24]Czech RepublicCzech population307 cases and 191 controlsOR = 16.02 (5.4–47.54)
Francis et al. [20]Northern EuropeCaucasian333 cases and 171 controlsaORhom = 3.973 (2.928–5.390)
Gili et al. [9]SpainSpanish Caucasian187 cases and 196 controlsORhom = 6.44 (3.62–11.47)
Yang et al. [10]USACaucasian581 cases and 309 controlsORhet = 1.90 (1.40, 2.58), ORhom = 7.51 (3.75, 15.04)
Gibbs et al. [7]USACaucasian342 cases and 215 controlsb
Chen et al. [12]USACaucasian774 cases and 294 controlsb; 192 bilateral nAMD, 278 unilateral nAMD, 234 bilateral GA, 72 unilateral GA

Bil ORhom = 10.95 (5.26–22.77)

Uni ORhom = 5.62 (2.65–11.90)

DeAngelis et al. [11]USACaucasian73 sib pairscORhom = 98.41 (13.45–720.08 P < 10−5) ORhet = 6.05 (2.13–17.21; P < 10−3)
Mohamad et al. [23]MalaysiaAsian145 cases, 145 controlsORhom = 1.52 (1.07–2.15)

GA Geographic atrophy

aAge-matched controls

bAge-matched and sex-matched controls

cControl was a sibling of each patient

Results from studies on the association between the HtrA1 polymorphism and nAMD ORhet = 1.88 (0.96–3.66) ORhom = 7.6 (3.94–14.51) Bil ORhom = 10.95 (5.26–22.77) Uni ORhom = 5.62 (2.65–11.90) GA Geographic atrophy aAge-matched controls bAge-matched and sex-matched controls cControl was a sibling of each patient The HtrA1 rs11200638 polymorphism is widely reported to be highly associated with the risk for nAMD worldwide. Epidemiological studies have shown that, compared to people with the GG genotype, those with the AA genotype in the Chinese population have a tenfold increased risk for nAMD [8] and their Caucasian counterparts have a 7.5-fold increased risk [10]. This higher risk of AA genotype for nAMD was reconfirmed in other studies involving Caucasian populations [7, 12]. The A allele and AA genotypes have also associated with the dry forms of AMD in addition to nAMD in Chinese Taiwanese subjects [14]. Another Chinese study showed a 7.6-fold increased risk in subjects with the A allele, with smoking status compounding the risk to 15.7-fold [15]. Studies in Middle East [18], India [19], and Brazil [17] have shown similar results. Individuals with the AG and AA genotype have been found to have a 2.2- and 8.7-fold higher risk of developing AMD, respectively, when compared with those who carry the GG genotype [26]. The HtrA1 gene encodes a serine protease, and this protease is produced by many tissues, including the RPE [27]. This protein plays an important role in the breakdown of many components of the extracellular matrix (ECM) [27-29]. It has been hypothesized that these breakdowns of ECM proteins is related to development of neovascularization [27, 29]. A high concentration of HtrA1 has been found in the aqueous humor of nAMD patients, with subsequent decrease following intravitreal injections of 0.5 mg ranibizumab [31]. The HtrA1 polymorphism was also reported to be associated with the AMD onset in the second eye [12]. The association of the HtrA1 polymorphism to the response to ranibizumab treatment in nAMD has not been consistent in studies [23, 26, 32, 33] The main limitations of our study are the small sample size and the hospital-based design. The design may have only captured the advanced profiles of AMD patients, thereby masking the true representation of AMD in general population. Future studies should include larger and more diverse sample sizes to allow subanalyses based on ethnic origin in Indonesia. Identifying other target genes related to AMD in the Indonesian population is also warranted as this study is only the second study on the genetic factors associated with nAMD and only the second study on AMD in Indonesia.

Conclusions

We identified that the HtrA1 rs11200638 polymorphism is significantly associated with risk of nAMD albeit with a wide confidence interval.
The HtrA1 rs11200638 polymorphism is associated with the risk of neovascular age-related macular degeneration (nAMD) in Indonesian patients.
The presence of hypertension compounds the genetic risk for nAMD.
The results of this study are in accordance with those of other epidemiological studies involving patients of different ethnicity in supporting the hypothesis that HtrA1 contributes to the risk of nAMD.
  32 in total

1.  Association of single nucleotide polymorphisms in CFH, ARMS2 and HTRA1 genes with risk of age-related macular degeneration in Egyptian patients.

Authors:  Radwa O Abbas; Hassan M E Azzazy
Journal:  Ophthalmic Genet       Date:  2013-01-30       Impact factor: 1.803

2.  Association of genetic polymorphisms and age-related macular degeneration in Chinese population.

Authors:  Jun Tian; Wenzhen Yu; Xueying Qin; Kai Fang; Qing Chen; Jing Hou; Juan Li; Dafang Chen; Yonghua Hu; Xiaoxin Li
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-06-28       Impact factor: 4.799

3.  Analysis of the indel at the ARMS2 3'UTR in age-related macular degeneration.

Authors:  Gaofeng Wang; Kylee L Spencer; William K Scott; Patrice Whitehead; Brenda L Court; Juan Ayala-Haedo; Ping Mayo; Stephen G Schwartz; Jaclyn L Kovach; Paul Gallins; Monica Polk; Anita Agarwal; Eric A Postel; Jonathan L Haines; Margaret A Pericak-Vance
Journal:  Hum Genet       Date:  2010-02-25       Impact factor: 4.132

4.  HTRA1 and TGF-β1 Concentrations in the Aqueous Humor of Patients With Neovascular Age-Related Macular Degeneration.

Authors:  Gian Marco Tosi; Elena Caldi; Giovanni Neri; Elisabetta Nuti; Davide Marigliani; Stefano Baiocchi; Claudio Traversi; Gabriele Cevenini; Antonio Tarantello; Fiorella Fusco; Federica Nardi; Maurizio Orlandini; Federico Galvagni
Journal:  Invest Ophthalmol Vis Sci       Date:  2017-01-01       Impact factor: 4.799

5.  Age-related macular degeneration is associated with an unstable ARMS2 (LOC387715) mRNA.

Authors:  Lars G Fritsche; Thomas Loenhardt; Andreas Janssen; Sheila A Fisher; Andrea Rivera; Claudia N Keilhauer; Bernhard H F Weber
Journal:  Nat Genet       Date:  2008-05-30       Impact factor: 38.330

6.  HTRA1 polymorphism in dry and wet age-related macular degeneration.

Authors:  Jane-Ming Lin; Lei Wan; Yi-Yu Tsai; Hui-Ju Lin; Yushin Tsai; Cheng-Chun Lee; Chang-Hai Tsai; Fuu-Jen Tsai; Sung-Huei Tseng
Journal:  Retina       Date:  2008-02       Impact factor: 4.256

7.  Gene polymorphisms associated with an increased risk of exudative age-related macular degeneration in a Spanish population.

Authors:  Pablo Gili; Leyre Lloreda Martín; José-Carlos Martín-Rodrigo; Naon Kim-Yeon; Laura Modamio-Gardeta; Javier L Fernández-García; Ana Belén Rebolledo-Poves; Elena Gómez-Blazquez; Ruth Pazos-Rodriguez; Elia Pérez-Fernández; María Velasco
Journal:  Eur J Ophthalmol       Date:  2021-03-25       Impact factor: 2.597

8.  Overexpression of HTRA1 leads to ultrastructural changes in the elastic layer of Bruch's membrane via cleavage of extracellular matrix components.

Authors:  Sarah Vierkotten; Philipp S Muether; Sascha Fauser
Journal:  PLoS One       Date:  2011-08-02       Impact factor: 3.240

9.  A large genome-wide association study of age-related macular degeneration highlights contributions of rare and common variants.

Authors:  Lars G Fritsche; Wilmar Igl; Jessica N Cooke Bailey; Felix Grassmann; Sebanti Sengupta; Jennifer L Bragg-Gresham; Kathryn P Burdon; Scott J Hebbring; Cindy Wen; Mathias Gorski; Ivana K Kim; David Cho; Donald Zack; Eric Souied; Hendrik P N Scholl; Elisa Bala; Kristine E Lee; David J Hunter; Rebecca J Sardell; Paul Mitchell; Joanna E Merriam; Valentina Cipriani; Joshua D Hoffman; Tina Schick; Yara T E Lechanteur; Robyn H Guymer; Matthew P Johnson; Yingda Jiang; Chloe M Stanton; Gabriëlle H S Buitendijk; Xiaowei Zhan; Alan M Kwong; Alexis Boleda; Matthew Brooks; Linn Gieser; Rinki Ratnapriya; Kari E Branham; Johanna R Foerster; John R Heckenlively; Mohammad I Othman; Brendan J Vote; Helena Hai Liang; Emmanuelle Souzeau; Ian L McAllister; Timothy Isaacs; Janette Hall; Stewart Lake; David A Mackey; Ian J Constable; Jamie E Craig; Terrie E Kitchner; Zhenglin Yang; Zhiguang Su; Hongrong Luo; Daniel Chen; Hong Ouyang; Ken Flagg; Danni Lin; Guanping Mao; Henry Ferreyra; Klaus Stark; Claudia N von Strachwitz; Armin Wolf; Caroline Brandl; Guenther Rudolph; Matthias Olden; Margaux A Morrison; Denise J Morgan; Matthew Schu; Jeeyun Ahn; Giuliana Silvestri; Evangelia E Tsironi; Kyu Hyung Park; Lindsay A Farrer; Anton Orlin; Alexander Brucker; Mingyao Li; Christine A Curcio; Saddek Mohand-Saïd; José-Alain Sahel; Isabelle Audo; Mustapha Benchaboune; Angela J Cree; Christina A Rennie; Srinivas V Goverdhan; Michelle Grunin; Shira Hagbi-Levi; Peter Campochiaro; Nicholas Katsanis; Frank G Holz; Frédéric Blond; Hélène Blanché; Jean-François Deleuze; Robert P Igo; Barbara Truitt; Neal S Peachey; Stacy M Meuer; Chelsea E Myers; Emily L Moore; Ronald Klein; Michael A Hauser; Eric A Postel; Monique D Courtenay; Stephen G Schwartz; Jaclyn L Kovach; William K Scott; Gerald Liew; Ava G Tan; Bamini Gopinath; John C Merriam; R Theodore Smith; Jane C Khan; Humma Shahid; Anthony T Moore; J Allie McGrath; Reneé Laux; Milam A Brantley; Anita Agarwal; Lebriz Ersoy; Albert Caramoy; Thomas Langmann; Nicole T M Saksens; Eiko K de Jong; Carel B Hoyng; Melinda S Cain; Andrea J Richardson; Tammy M Martin; John Blangero; Daniel E Weeks; Bal Dhillon; Cornelia M van Duijn; Kimberly F Doheny; Jane Romm; Caroline C W Klaver; Caroline Hayward; Michael B Gorin; Michael L Klein; Paul N Baird; Anneke I den Hollander; Sascha Fauser; John R W Yates; Rando Allikmets; Jie Jin Wang; Debra A Schaumberg; Barbara E K Klein; Stephanie A Hagstrom; Itay Chowers; Andrew J Lotery; Thierry Léveillard; Kang Zhang; Murray H Brilliant; Alex W Hewitt; Anand Swaroop; Emily Y Chew; Margaret A Pericak-Vance; Margaret DeAngelis; Dwight Stambolian; Jonathan L Haines; Sudha K Iyengar; Bernhard H F Weber; Gonçalo R Abecasis; Iris M Heid
Journal:  Nat Genet       Date:  2015-12-21       Impact factor: 38.330

10.  Association of HTRA1 and ARMS2 gene polymorphisms with response to intravitreal ranibizumab among neovascular age-related macular degenerative subjects.

Authors:  Nur Afiqah Mohamad; Vasudevan Ramachandran; Hazlita Mohd Isa; Yoke Mun Chan; Nor Fariza Ngah; Siew Mooi Ching; Fan Kee Hoo; Wan Aliaa Wan Sulaiman; Liyana Najwa Inche Mat; Mohd Hazmi Mohamed
Journal:  Hum Genomics       Date:  2019-02-22       Impact factor: 4.639

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