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. 2017 Mar 7;7:44185. doi: 10.1038/srep44185

Molecular outcomes, clinical consequences, and genetic diagnosis of Oculocutaneous Albinism in Pakistani population

Mohsin Shahzad 1,*, Sairah Yousaf 1,2,*, Yar M Waryah 3, Hadia Gul 4, Tasleem Kausar 2, Nabeela Tariq 2, Umair Mahmood 1, Muhammad Ali 5, Muzammil A Khan 4, Ali M Waryah 3, Rehan S Shaikh 2, Saima Riazuddin 1, Zubair M Ahmed 1,a; University of Washington Center for Mendelian Genomics (UW CMG) Consortium
PMCID: PMC5339803  PMID: 28266639

Abstract

Nonsyndromic oculocutaneous Albinism (nsOCA) is clinically characterized by the loss of pigmentation in the skin, hair, and iris. OCA is amongst the most common causes of vision impairment in children. To date, pathogenic variants in six genes have been identified in individuals with nsOCA. Here, we determined the identities, frequencies, and clinical consequences of OCA alleles in 94 previously unreported Pakistani families. Combination of Sanger and Exome sequencing revealed 38 alleles, including 22 novel variants, segregating with nsOCA phenotype in 80 families. Variants of TYR and OCA2 genes were the most common cause of nsOCA, occurring in 43 and 30 families, respectively. Twenty-two novel variants include nine missense, four splice site, two non-sense, one insertion and six gross deletions. In vitro studies revealed retention of OCA proteins harboring novel missense alleles in the endoplasmic reticulum (ER) of transfected cells. Exon-trapping assays with constructs containing splice site alleles revealed errors in splicing. As eight alleles account for approximately 56% (95% CI: 46.52–65.24%) of nsOCA cases, primarily enrolled from Punjab province of Pakistan, hierarchical strategies for variant detection would be feasible and cost-efficient genetic tests for OCA in families with similar origin. Thus, we developed Tetra-primer ARMS assays for rapid, reliable, reproducible and economical screening of most of these common alleles.

Autosomal recessive non-syndromic oculocutaneous albinism (nsOCA) is a genetic disorder characterized by the partial or complete loss of pigmentation in the skin, hair, and iris that is due to a decrease or absence of melanin production1,2. Other clinically substantial aberrations associated with OCA are foveal hypoplasia, photoreceptor rod cell deficit, misrouting of the optic nerves at the chiasm, photophobia, nystagmus, and vision impairment2,3. The prevalence of albinism worldwide has been estimated at 1 in 17,000, meaning that approximately 1 in 70 people are carriers of the OCA allele. To date, pathogenic variants in six genes, TYR, OCA2, TYRP1, SLC45A2, SLC24A5, and C10orf11, have been identified in individuals with nsOCA4. We previously mapped a new locus for nsOCA on chromosome 4q24 in a large consanguineous Pakistani family5, for which the gene is currently unknown. In published population studies, however, the detection rate of alleles causing albinism varies from 60% to 90%6,7,8,9,10,11.

The clinical range of OCA varies, with OCA1A being the most severe type, characterized by a complete lack of melanin production throughout life. The less severe forms (OCA1B, OCA2, OCA3, and OCA4) show some pigmentation over a lifetime. Although the diverse types of OCA are caused by variants in different genes, their clinical phenotypes are not always distinguishable, making molecular diagnosis an essential tool for genetic counseling12, and for emerging therapeutic interventions13. Our goals here were to determine identities, frequencies, and clinical consequences of OCA alleles in Pakistani cohort, predominantly enrolled from Punjab province, and to develop hierarchical strategies for rapid, feasible, and cost-efficient genetic diagnostic assays for improved carrier detection and genetic counseling.

Results

After institutional review board approval, we enrolled 94 Pakistani families segregating nsOCA (Supplementary Fig. S1). All the affected individuals of these families have congenital hypopigmentation phenotype. Inter-familial variation of hair color was noted among individuals, ranging from white to honey blonde or brown (Table 1). Similarly, variation in iris color was noted, with tones ranging from light grey to brown (Table 1). However, due to limited facilities available in the remote areas of Pakistan, detailed clinical evaluations in every affected person from every family was not possible, therefore, we refrained ourselves from commenting on genotype-phenotype correlation for every variant. Through the combination of Sanger and whole exome sequencing techniques, we identified 38 variants, including 22 novel variants, segregating with the phenotype in 80 families (Table 2). The 22 new variants include 9 missense, 4 splice site, 2 non-sense, 1 insertion, and 6 gross deletions (Table 2 and Fig. S2). None of these variants were found in ethnically matched control samples (Table 2 and Table S1). We also documented the frequencies of polymorphic alleles of nsOCA genes in our cohort (Table S2).

Table 1. Clinical features of oldest affected individuals of families with variants in OCA1-4.

Families ID Sex Allele Ethnicity Skin color Hair color Iris color Visual Acuity Type of refraction error Fundus Foveal hypoplasia Photophobia Nystagmus  
Right Left Right Left  
TYR  
 PKAB115 IV:4 M c.164 G > C Jatt sidhu White Yellow white Grey blue NA NA NA NA NA NA Negative  
 PKAB174 IV:4 M c.223 G > T Qureshi White Yellow white Grey blue NA NA NA NA NA NA Positive  
 PKAB200 IV:4 M c.585 G > A Gondal White White Grey blue NA NA NA NA NA NA Negative  
 PKAB66 V:3 M c.649 C > T Alvi White Yellow white Brown NA NA NA NA NA NA Positive  
 PKAB76 IV:7 M c.649 C > T Mochi White Yellow white Brown NA NA NA NA NA NA Positive  
 PKAB141 IV:3 M c.649 C > T Arain White Yellow white Hazel green NA NA NA NA NA NA Positive  
 PKAB142 IV:3 M c.649 C > T Minhas White Yellow white Hazel green NA NA NA NA NA NA Positive  
 PKAB147 III:3 M c.649 C > T Raajpoot White Yellow white Hazel green NA NA NA NA NA NA Positive  
 PKAB118 IV:2 F c.832 C > T Mula khel White White Grey blue 6/12 6/12 −1.00/-2.5*160–1.00/-1.00*20 Albinotic Positive Positive Positive  
 PKAB120 III:13 M c.832 C > T Arain White White Grey 6/60 6/60 −4.00*180–3.50*180 Albinotic Positive Positive Positive  
 PKAB143 IV:7 M c.832 C > T Malick White White Grey 6/60 6/60 Hyperopic Albinotic Positive Positive Positive  
 PKAB145 IV:2 F c.832 C > T Arain White Yellow white Grey blue NA NA NA NA NA NA    
 PKAB165 IV:8 M c.832 C > T Jatt White White Grey blue 6/60 6/60 Hyperopic Albinotic Positive Positive Negative  
 PKAB183 VI:1 F c.1037–7 T > A Sayyad bukhari Yellow Pinkish Brownish 6/60 6/60 Hyperopic Albinotic Positive Positive Positive  
 PKAB185 IV:4 F c.832 C > T Sayyad bukhari White White Grey blue 6/60 6/60 Hyperopic Albinotic Positive Positive Positive  
 PKAB186 IV:3 F c.1037–7 T > A Sayyad bukhari Yellow Pinkish Brownish 6/60 6/60 Hyperopic Albinotic Positive Positive Positive  
 PKAB188 VI:1 M c.1037–7 T > A Khokar Yellow Pinkish Brownish 6/60 6/60 Hyperopic Albinotic Positive Positive Positive  
 PKAB189 V:11 M c.832 C > T Bhatti White White Grey blue NA NA NA NA NA NA NA  
 PKAB194 VI:2 M c.832 C > T Raajpoot White White Grey blue NA NA NA NA NA NA NA  
 LUAB05 IV:8 F c.832 C > T Urdu speaking Pinkish white White Grey blue 6/60 6/60 Myopic type Pigmented Poorly formed Positive Positive  
 LUAB08 V:7 M c.832 C > T Urdu speaking White White Grey blue 4/60 4/60 Clear Absent Positive Positive Negative  
 LUAB19 IV:3 M c.832 C > T Urdu speaking White White Grey blue NA NA NA NA NA NA NA  
 PKAB204 IV:9 M c.832 C > T Jatt White White Grey blue NA NA NA NA NA NA Positive  
 PKAB128 IV:3 M c.896 G > A Abbasi White White Grey blue NA NA NA NA NA NA NA  
 PKAB154 IV:5 M c.896 G > A Waseer White White Grey blue NA NA NA NA NA NA NA  
 PKAB138 III:7 F c.943–948delTCAGCT Butt White White Grey blue 6/12 6/18 −3.00*20–0.50/-2.00*160 Albinotic Positive   Positive  
 LUAB01 V:4 M c.1037–18 T > G Urdu speaking White White Light brown 6/60 6/60 Hypermetropia Clear Poorly formed Positive Positive  
 PKAB105 IV:9 M c.1037–7 T > A Gouraya White Yellow white NA NA NA NA NA NA NA Negative  
 PKAB197 IV:3 M c.1037 G > A Sahoo White White Grey blue NA NA NA NA NA NA NA  
 PKAB119 IV:9 M c.1147 G > A Bangulzai White White Grey/brown 6/12 6/18  + 1.50/-3.00*10 + 1.50/-3.00*180 Albinotic Positive Positive Positive  
 PKAB130 IV:8 F c.1184 + 2 T > C Bhatti White White Light green 6/60 6/60 Myopic astigmatism Albinotic Positive Positive Positive  
 PKAB193 IV:2 F c.1204 C > T Gujar White White Grey blue NA NA NA NA NA NA NA  
 PKAB64 III:6 M Exons 4–5 deletion Jatt Golden Blonde Brownish green 6/60 6/60  + 1.75/0*160–2.75/-2*180 — Present Positive Present  
 PKAB168 IV:8 M Exons 4–5 deletion Chakotaray Grey white White Brown NA NA NA NA Positive Positive Positive  
 PKAB81 IV:5 F c.1255 G > A Rajpoot White Yellow white Grey 6/60 6/24 Hyperopic and astigmatic Albinotic Positive Positive Positive  
 PKAB106 IV:4 M c.1255 G > A Shaikh White Golden yellow Grey blue NA NA NA NA NA NA NA  
 PKAB107 IV:1 F c.1255 G > A Chanarr White Yellow white Grey blue 6/60 6/60 Hyperopic Albinotic Positive Positive Positive  
 PKAB140 IV:7 F c.1255 G > A Daaye White Yellow white Grey blue 6/18 6/18 Myopic Albinotic Positive Positive Positive  
 PKAB184 IV:6 M c.1255 G > A Oteera White White Grey blue CF HMt NA Albinotic Positive Positive Positive  
 PKAB191 V:4 M c.1255 G > A Dodiyaanay Sial White White Grey blue NA NA NA NA NA NA NA  
 LUAB03 V:6 M c.1255 G > A Sindhi speaking Pinkish white White Hazel 1/60 1/60 No improvement Clear Poorly formed Positive Positive  
 GUAB01 IV:6 M c.1255 G > A Saraiki speaking Light blonde Light blonde Blue grey NA NA NA NA NA Positive Positive  
OCA2  
 PKAB70 IV:7 M Exons 3–14 deletion Maachi White Yellow Green 6/36 6/36 Hyperopic Albinotic Positive Positive Positive  
 PKAB69 V:6 M Exons 7–8 deletion Mughal Pink white Silver yellow Grey CF CF −3.00/-3.50*178–3.00/-4.00*3 Albinotic Positive Positive Positive  
 PKAB77 IV:6 M Exons 7–8 deletion Terkhan Pink white Silver Yellow Grey 6/36 6/36 −1.75/-1.005–5.25/-1.25*20 Albinotic Positive Positive Positive  
 PKAB127 IV:4 M c.1045–15 T > G Rajpoot White Yellow Hazel brown 6/48 6/48 Compound astigmatism Albinotic Positive Positive Positive  
 PKAB132 III:5 M c.1045–15 T > G Jatt White Yellow white Light green NA NA NA NA NA NA NA  
 PKAB134 III:3 M c.1045–15 T > G Abbasi White Yellow white Light green NA NA NA NA NA NA NA  
 PKAB135 IV:3 M c.1045–15 T > G Arain White White Light green NA NA NA NA NA NA NA  
 PKAB177 IV:7 F c.1045–15 T > G Bhatti White Yellow Hazel brown 6/48 6/48 Compound astigmatism Albinotic Positive Positive Positive  
 GUAB03 IV:8 F c.1045–15 T > G Saraiki speaking Brown Brown Greenish NA NA NA NA NA Positive Positive  
 LUAB07 IV:3 M c.1045–15 T > G Sindhi speaking White White Light brown 6/18 6/18 Hypermetropia Pigmented Poorly formed Positive Positive  
 LUAB02 IV:8 M c.1056 A > C Sindhi speaking White White Light brown 3/18 3/18 Hypermetropia Pigmented Poorly formed Positive Positive  
 PKAB136 IV:3 F c.1064 C > T Chandia White Yellow white Light green NA NA NA NA NA NA NA  
 GUAB02 IV:6 M c.1075 G > C Saraiki speaking Light golden Light golden Greenish NA NA NA NA NA Positive Positive  
 PKAB144 IV:2 M c.1182 + 2 T > TT Arain White Yellow white Grey blue NA NA NA NA NA NA NA  
 PKAB148 IV:5 M c.1211 C > T Sayyad White Golden yellow Grey blue NA NA NA NA NA NA NA  
 LUAB06 V:8 M c.1322 A > G Sindhi speaking Pinkish white Golden white Light brown 6/60 6/60 Mycopic Type Pigmented Poorly formed Positive Positive  
 PKAB172 V:1 F c.1456 G > T Wains White Yellowish brown Brown 6/48 6/40 Myopic astigmatism Albinotic Positive Positive Positive  
 PKAB187 III:3 M c.1456 G > T Bhutta White Golden yellow Grey blue NA NA NA NA NA NA NA  
 GUAB06 IV:5 M c.1456 G > T Saraiki speaking Golden Golden Greenish NA NA NA NA NA Positive Positive  
 LUAB17 IV:3 F c.1456 G > T Sindhi speaking White Yellow white Grey blue NA NA NA NA NA NA NA  
 PKAB122 IV:2 F c.1922 C > T Mughal White Golden yellow Light brown 6/24 6/24 NA Albinotic Positive Positive Positive  
 LUAB10 III:9 F c.1951 + 4 A > G Urdu speaking White White Light brown 6/18 6/18 Hypermetropia Pigmented Poorly formed Positive Positive  
 PKAB137 IV:4 M Exon 19 deletion Malick White Yellow white Hazel green NA NA NA NA NA NA Positive  
 PKAB121 IV:3 F Exons 20–24 deletion Achakzai White White Brown 6/18 6/18 2.50*20–2.0*160 Albinotic Positive Positive Negative  
 PKAB116 IV:4 M Exons 22–24 deletion Raajpoot White Golden yellow Misty grey 6/36 6/36 +3.75/-4.75*15 +1.75/+3.0*80 Albinotic Positive Positive Positive  
 LUAB09 IV:5 F c.2228 C > T Urdu speaking White Goldish white Light brown 6/18 6/18 Hypermetropia Pigmented Poorly formed Positive Positive  
 PKAB170 V:3 F c.2360 C > A Jatt Langa White Yellow Brown 6/36 6/36 Hyperopic Albinotic Positive Positive Positive  
 PKAB125 IV:5 M c.2360 C > T Arain White Golden yellow NA NA NA NA NA NA NA Positive  
TYRP1  
 PKAB166 IV:3 F c.256 G > T Bhutta Brown Wheat Brown 6/6 6/6 Emmetropic Normal Negative Negative Positive  
 PKAB164 IV:5 M c.1067 G > A Langa Grey brown Wheat Brown 6/24 6/24 −2.25/−5.25*97–0.50/−5.00*90 Albinotic Positive Positive Positive  
 PKAB192 V:2 M c.1067 G > A Haraaj Wheat Golden yellow Light green NA NA NA NA NA NA Positive  
 PKAB205 IV:12 F c.1067 G > A Matam Wheat Golden yellow Light green NA NA NA NA NA NA Positive  
 PKAB146 III:1 M c.1532 C > T Shaikh Wheat Yellow brown Grey 6/9 P 6/9 P +8.0/−1.0*10 +7.50/−1.00*180 Normal Negative Positive Positive  
SLC45A2  
 GUAB04 IV:5 M c.1532 C > T Saraiki speaking Light brown Golden Bluish NA NA NA NA NA Positive Positive  
 GUAB05 II:9 M c.1532 C > T Saraiki speaking Light brown Golden Bluish NA NA NA NA NA Positive Positive  
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NA: Not available.

Table 2. Overview of molecular outcome and predictive effects of alleles in TYR, OCA2, TYRP1 and SLC45A2 genes.

Families Variant Effect on protein Allele frequency Polyphen-2 Mutation Taster SIFT
PK 1000 genome NHLBI10−4 ExAC 10−6
TYR
  PKAB115 c.164 G > C p.(Cys55Ser) 0/180 0.000 0 8.2 Probably damaging Disease causing Damaging
  PKAB174 c.223 G > T p.(Asp75Tyr) 0/176 0 0 0 Probably damaging Disease causing Damaging
  PKAB200 c.585 G > A p.(Trp195*) 0/186 0 1.53 8.2 — — —
  PKAB66, PKAB76,  PKAB141, PKAB142,   PKAB147 c.649 C > T p.(Arg217Trp) — 0 1.53 197.9 Probably damaging Polymorphism Tolerated
  PKAB118, PKAB120,   PKAB143, PKAB145,   PKAB165, PKAB185,   PKAB189, PKAB194,   LUAB05, LUAB08, LUAB19,   PKAB204 c.832 C > T p.(Arg278*) — 0 0 190.0 — — —
  PKAB128, PKAB154 c.896 G > A p.(Arg299His) — 0 0 74.2 Probably damaging Disease causing Damaging
  PKAB138 c.943–948delTCAGCT p.(315–316delSerAla) — 0 0 0 — — —
  PKAB105, PKAB183,   PKAB186, PKAB188 c.1037–7 T > A Splicing error — 0 15.38 0 — — —
  LUAB01 c.1037–18 T > G Splicing error 0/176 0 0 16.7 — — —
  PKAB197 c.1037 G > A p.(Gly346Glu)   0          
  PKAB119 c.1147 G > A p.(Asp383Asn) — 0 0 165 Probably damaging Disease causing Damaging
  PKAB130 c.1184 + 2 T > C Splicing error 0/178 0 0 8.2 — — —
  PKAB193 c.1204 C > T p.(Arg402*) — 0 0 49.84 — — —
  PKAB64, PKAB168 Exons 4–5 deletion Frame shift 0/180 0 0   — — —
  PKAB81, PKAB106,   PKAB107, PKAB140,   PKAB184, PKAB191,   LUAB03, LUAB19,   GUAB01 c.1255 G > A p.(Gly419Arg)   0 0 33.12 Probably damaging Disease causing Damaging
OCA2
  PKAB070 Exons 3–14 deletion Frame shift 0/176 0 0 0 — — —
  PKAB069, PKAB77 Exons 7–8 deletion Frame shift 0/180 0 0 0 — — —
  LUAB04 c.987 C > AGA p.(Gln330Aspfs*2) 0/184 0 0 0 — — —
  PKAB127, PKAB132,   PKAB133, PKAB134,   PKAB135, PKAB177,   LUAB07, GUAB03 c.1045–15 T > G Splicing error   0   41.36 — — —
  LUAB02 c.1056 A > C p.(Arg352Ser) 0/182 0 0 0 Probably damaging Disease causing Damaging
  PKAB136 c.1064 C > T p.(Ala355Val) 0/184 0.001 0 289.2 Probably damaging Disease causing Tolerated
  GUAB02 c.1075 G > C p.(Gly359Arg) 0/176 0 0 0 Probably damaging Disease causing Damaging
  PKAB144 c.1182 + 2 T > TT Splicing error 0/180 0 0 0 — — —
  PKAB148 c.1211 C > T p.(Thr404Met) — 0 7.69 74.17 Probably damaging Disease causing Damaging
  LUAB06 c.1322 A > G p.(Asp441Gly) 0/178 0 1.53 16.74 Probably damaging Disease causing Tolerated
  PKAB172, PKAB187,   GUAB06, LUAB17 c.1456 G > T p.(Asp486Tyr) — 0 0 16.74 Probably damaging Disease causing Damaging
  PKAB122 c.1922 C > T p.(Ser641Leu) 0/184 0 0 0 Probably damaging Disease causing Damaging
  LUAB10 c.1951 + 4 A > G Splicing error   0 0 0 — — —
  PKAB137 Exon 19 deletion Frame shift 0/174 0 0 0 — — —
  PKAB121 Exons 20–24 deletion Frame shift 0/176 0 0 0 — — —
  PKAB116 Exons 22–24 deletion Frame shift 0/180 0 0 0 — — —
  LUAB09 c.2228 C > T p.(Pro743Leu) — 0 0 90.78 Probably damaging Disease causing Damaging
  PKAB170 c.2360 C > A p.(Ala787Glu) 0/182 0 0 0 Probably damaging Disease causing Damaging
  PKAB125 c.2360 C > T p.(Ala787Val) — 0 0 24.78 Probably damaging Disease causing Damaging
TYRP1
  PKAB166 c.256 G > T p.(Asp86Tyr) 0/180 0 0 0 Probably damaging Disease causing Damaging
  PKAB164, PKAB192,   PKAB205 c.1067 G > A p.(Arg356Gln) — 0 0 25.50 Probably damaging Disease causing Damaging
  PKAB146 c.1534 C > T p.(Glu512*) 0/184 0 0 16.53 — — —
SLC45A2
  GUAB04, GUAB05 c.1532 C > T p.(Ala511Val) — 0 0 8.2 Probably damaging Disease causing Damaging
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Novel mutations found in this study are in bold. PK (Pakistani Control).

Missense variants altered the targeting of encoded OCA proteins

The nine novel missense variants include two alleles of TYR (OCA1), six of OCA2 (OCA2) and one in TYRP1 (OCA3). Three prediction programs, specifically, Polyphen-214, MutationTaster15 and SIFT16, suggested that each of these missense variants were deleterious (Table 2). To further evaluate the effects of these variants on the encoded proteins, we performed in silico molecular modeling and in vitro protein targeting studies.

TYR encodes tyrosinase in melanocytes, an essential enzyme for the biosynthesis of melanin17. Previously, it was shown that missense alleles of tyrosinase lead to ER retention of encoded protein due to misfolding18. To evaluate the targeting of p.Cys55Ser and p.Asp75Tyr harboring proteins, we introduced these variants in a GFP-tagged tyrosinase and transiently transfected human melanocytes. Wild type tyrosinase was localized throughout the cytoplasm of melanocytes (Fig. 1). Immunofluorescence studies with calregulin (an ER marker) demonstrated that the mutant proteins, however, predominantly co-localized with calregulin, indicating retention in the ER (Fig. 1). In contrast, p.(Asp86Tyr) missense variant did not affect the targeting of TYRP1 protein (Fig. 1).

Figure 1. Subcellular distribution of wild type and mutant tyrosinase and tyrosinase-like proteins in human melanocytes.

Figure 1

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eGFP-tagged TYR and TYRP1 wild type and mutant constructs (green) were transiently transfected in melanocytes grown at 37 °C. Calregulin (red) and DAPI (blue) were used as markers for the endoplasmic reticulum and nucleus, respectively. Merged images show the co-localization of only tyrosinase variants with calregulin, which indicated ER retention. The scale bar represents 20 μm for all panels.

OCA2 protein, with 12 putative transmembrane α-helices, belongs to the Na+/H+ antiporter family. Besides its presumed role in maintaining the pH of the melanosomes19,20,21,22, OCA2 also participates in the sorting and transport of tyrosinase and tyrosinase-related protein 1 (TYRP1) to the plasma membrane23,24,25. We performed comparative computational modeling of wild type and six novel missense alleles harboring OCA2 proteins using Phyre226 program. All the identified missense alleles were predicted to impact either protein folding, interaction with the lipid-bilayer, protein topology, or protein-protein interactions (Fig. S3). When transiently transfected in HEK293 cells, in contrast to wild type, disease-associated alleles of OCA2 proteins showed retention in the ER (Fig. 2). Collectively, these studies support the deleterious nature of novel missense variants identified in our OCA cohort.

Figure 2. Subcellular distribution of wild type and mutant OCA2 in HEK293 cells.

Figure 2

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eGFP-tagged OCA2 wild type and mutant constructs (green) were transiently transfected in HEK293 cells grown at 37 °C. Calregulin (red) and DAPI (blue) were used as markers for the endoplasmic reticulum and nucleus, respectively. Merged images show partial co-localization of OCA2 variants with calregulin, which indicated increased ER retention. The scale bar represents 20 μm for all panels.

Ex vivo splicing is defective due to splice site variants identified in Pakistani families

To evaluate the impact of four new splice site variants elucidated in our cohort, we examined the RNA splicing pattern of wild type and mutated exons by transfecting minigene constructs in COS7 cells. Results of our splicing assays are summarized in Fig. 3. The c.1037–18 T > G variant in exon 3 of TYR generated an upstream cryptic splice acceptor site, which resulted in insertion of 17 base intronic region in the spliced product (Fig. 3). Retention of 17 base intronic region in the spliced mRNA would result in the frameshift and premature truncation of the encoded tyrosinase. In contrast, the c.1184 + 2 T > C change in exon 3 of TYR revealed loss of canonical splice donor site. Splicing assay revealed utilization of a cryptic donor site within exon 3, resulting in loss of 55 bp from the coding region (Fig. 3), predicted to cause frameshift and premature truncation of the encoded protein. Both splice site variants of OCA2 (c.1182 + 2 T > TT and c.1951 + 4 A > G) revealed skipping of their respective exons in the minigene splicing assays (Fig. 3). The skipping of exon 11 (66 bp) due to c.1182 + 2 T > TT leads to in-frame deletion of 22 amino acids, while the loss of exon 18 (109 bp) of OCA2 due to c.1951 + 4 A > G variant would cause frameshift and premature truncation.

Figure 3. Functional analysis of splice site variants.

Figure 3

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Schematic representation and Sanger sequencing chromatograms of minigene assays for TYR and OCA2 novel splice site variants revealed aberrant splicing products, supporting their pathogenic nature.

Exome sequencing revealed six gross deletions in OCA families

Approaches to detect indels using exome sequence data are an active area of research. As yet there is no single method that guarantees consistent success. We used the widely-evaluated methods XHMM27 and CoNIFER28 to identify gross insertions/deletions in our exome data. Our analyses revealed six novel gross deletions of TYR and OCA2 genes segregating with OCA phenotype in six families (Fig. 4). To investigate the mechanisms involved in these deletions, the intervals surrounding the breakpoints were analyzed through RepeatMasker (http://www.repeatmasker.org/). In addition, significantly over-represented motifs within ±15 bp of GRaBD translocations breakpoints were also sought29. Thorough bioinformatics analysis revealed that the breakpoint for these deletions lie in the repetitive element, and the highly similar Alu short interspersed nuclear elements (SINEs) may serve as the substrate for nonhomologous recombination.

Figure 4. Gross genomic exonic deletions identified in six OCA families.

Figure 4

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(A) Compare the exome sequencing data (green-blue peaks) of control sample wild type sample, the exon 4 and 5 (indicated by red arrows) were deleted in DNA samples from PKAB64 and PKAB168 families. Breakpoints for genomic deletions are given according to the human genome build hg19/GRCh37. (B) Gross genomic deletions observed in OCA2 gene as compared to control samples are shown either by red arrows or red lines.

Next, to analyze the impact of deletions on protein 3D structure, we used Phyre2 modeling software. Removal of p.Ser395 to p.Leu529 amino acids due to deletion of exons 4 and 5 would eliminate the tyrosinase central domain that binds to its copper ligand for subsequent function (Fig. S4A). Similarly, deletions of OCA2 exons would result in the partial or complete loss of Na-Sulphur-symporter domain, which mediates the intake of several different molecules with the concomitant uptake of Na+ (Fig. S4B) and thus predicted to result in non-functional, truncated proteins.

Alleles of TYR and OCA2 are the common cause of nsOCA in our cohort

Variants of TYR (allele frequency: 15/38) and OCA2 (19/38) were the most common cause of nsOCA, occurring in 43 and 30 families, respectively (Fig. 5A). To further refine the prevalence estimates, we reviewed the alleles frequencies in known albinism genes among our larger cohort of 143 families, including 48 previously reported families (Fig. 5B)5,30,31,32,33 and in published literature (Table S1). TYR and OCA2 alleles are the frequent cause of OCA in Pakistanis (Table S1). In our cohort, variants in TYR and OCA2 collectively account for the majority [67.8% (97/143); 95% confidence interval (CI): 60.2–76.0%] of the genetic causes of nsOCA, which is comparable to prevalence in European population (Table S3). In approximately 14% of our OCA families, we did not find any pathogenic variant in the known OCA genes (Fig. 5B).

Figure 5. Prevalence of albinism genes and their alleles in a Pakistani population.

Figure 5

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(A–C) Relative distribution of variants in albinism genes in Pakistani families. (A) The distribution of OCA1-4 genes in 94 families screened in the current study. Number of families and their percentage contribution are given in parentheses. (B) Total pool of albinism genes in our cohort. (C) Frequencies of recurrent alleles of nsOCA genes in Pakistanis. (D) Results of tetra-primer ARMS assays for detection of recurrent variants. The top band in each gel represents the positive control amplimer in all samples generated using the outer primers. Nested allele-specific primers were used to generate the wild type (Wild) or variant harboring (Mutant) PCR products. IC: inner control product.

Next, we investigated the frequency of alleles of nsOCA genes in our cohort. Overall, four alleles of TYR, three of OCA2, and one of SLC45A2 together account for ~56% (95% CI: 46.52–65.24%) of the variants responsible for nsOCA in our cohort (Fig. 5C). Therefore, we developed rapid and inexpensive assays for detecting carriers and homozygotes (Fig. 5D). For most of these alleles, we were able to develop tetra-primer ARMS assays. The sensitivity and specificity of these assays were confirmed on multiple DNA samples with different genotypes followed by Sanger sequencing.

Discussion

Our study illustrates the relative genetic contribution of four major OCA genes in the prevalence of albinism, primarily in families (69) currently residing in the Punjab province of Pakistan. However, our study also includes 19 families from Sindh and 6 families from Khyber Pakhtunkhwa (KPK) provinces. Pakistanis have a rich anthropogenic background owing to successive waves of invasions and adaptations of haplogroups. Most did not intermingle with the original local population and practiced endogamy, giving rise to genetic isolates that persists even today. Parental consanguinity is an important risk factor (0.25–20% higher chances) for recessive genetic defects34. In Pakistan, 62.7% of marriages are consanguineous, ~80% of which are between first cousins35. Specific clans and high consanguinity in Pakistan are the root causes of increased incidences of recessive disorders, including OCA. In our cohort, OCA phenotype was observed in families of different linguistic/ethnic origins (Table 1). We did not observe any apparent enrichment of a particular OCA allele within families of certain clans (Table 1). For instance, c.832 C > T in TYR and c.1045–15 T > G in OCA2 are the most frequent alleles observed in our samples (Fig. 5C). However, both these alleles were observed in families of various ethnical and geographical origins (Table 1). Similarly, other common variants (e.g. c.649 C > T, c.1255 G > A, c.1456 G > T) were also found in families enrolled from Punjab, Sindh and KPK (Table 1). Therefore, with the current samples size for each of the identified allele, it would be inapplicable to comment on ethnic/linguistic origins of different alleles observed in our cohort.

Our overall estimated prevalence of TYR and OCA2 alleles is quite similar in certain cases from Europe but fairly different from other studies in different populations (Table S3). For instance, TYR and OCA2 variants account for 70% and 10%, respectively, of OCA in a study of 127 patients from a Chinese population (Table S3). In a few eastern and central regions of China, TYR and OCA2 contribution varies; however, TYR alleles remain the most common cause of OCA. In India, a study of 82 OCA patients revealed approximately 60% and 11% prevalence for TYR and OCA2, respectively36. Similarly, in the US, Europe, Italy, Japan, and Korea, the alleles of TYR are the most common cause of nsOCA7,8,9,11,37 (Table S3). In contrast, variants in OCA2 account for ~80% of the OCA cases in an African population38.

Usually the alleles of TYR result in the retention of encoded tyrosinase in the ER18,30. Here, we also observed retention of OCA2 proteins harboring missense and truncating alleles in the ER (Fig. 2). A portion of the known human and mouse TYR variants have shown temperature-sensitive behavior30,39,40,41,42,43,44. Cultivating mammalian cells at permissive temperature (31 °C) resulted in increased cytoplasmic expression of tyrosinase harboring missense alleles, especially for those present in the copper-binding region30,39,41,42,44. However, the new OCA2 alleles were imaged at 31 °C and did not reveal an apparent increased cytoplasmic expression (data not shown).

Besides single nucleotide variants, our study, for the first time in Pakistani population, revealed six novel gross deletions in TYR and OCA2 genes (Fig. 4). These genetic aberrations span from a single exon deletion up to 12 exons with the encompassed introns (Fig. 4). These deletions confer pigmentation disorders either because of almost entire protein would be missing or non-functional truncated forms would be encoded. Considering their relative contribution simplified methods and bioinformatics tools will be needed for rapid detection of gross deletions for clinical genetic diagnosis of OCA.

Clinical presentation of OCA is often not very helpful in genetic diagnosis due to significantly overlapping features (Table 1). For economic and geographical reasons, it is not feasible to routinely perform Sanger sequencing of all the known OCA genes to detect underlying genetic defects. However, PCR-based assays that are developed to detect common alleles are quick and affordable. Twenty of the variants identified in this study were private (found in single families). However, eight variants (Fig. 5C) account for more than half of the alleles found in our families (Table 2). Therefore, we developed tetra-primer ARMS assays for these common alleles for rapid detection and genetic screening in large cohorts before embarking for exome/genome wide studies. We are cognizant of the fact that the majority of families in our cohort are from the Punjab province of Pakistan. Hence, the details of a hierarchical nonsyndromic OCA genes mutational screening strategy may need to be refined for other geographical regions and lingo-ethnic groups within Pakistan. Our results will be helpful for future diagnosis, genetic counseling, molecular epidemiology, and functional studies of nsOCA genes associated pigmentation disorders.

Intriguingly, fourteen families in our cohort did not reveal any pathogenic variants in common nsOCA genes. There are several possibilities for our failure to detect disease-associated alleles in these fourteen families. First, potential pathogenic variants may alter sequence of cis-acting regulatory or deep intronic splicing elements that are necessary for expression of these genes in melanocytes. Presently, we have very limited knowledge of the location of the regulatory elements of nsOCA genes. Secondly, the hypopigmentation segregating in these fourteen families may be syndromic and requires comprehensive clinical phenotyping, which would help in filtering the candidate genetic variants for further assessments. Third, there may be additional genes responsible for OCA in humans. For instance, in the US population the detection rate of alleles in known nsOCA genes is around 75%10. Thus, there exists both a need for further genetic understanding of albinism and an opportunity to improve the molecular diagnosis of albinism, and quite possibly its prevention.

Methods

Patients

This study followed the tenets of the Declaration of Helsinki. This study was approved by the IRB Committees at the University of Maryland School of Medicine (UMSOM), USA, the Institute of Molecular Biology & Biotechnology, Multan, Liaquat University of Medical & Health Sciences, Jamshoro, and Gomal Centre of Biochemistry and Biotechnology, Gomal University, D.I. Khan, Pakistan. All the methods were performed in accordance with the UMSOM relevant guidelines and regulations. Pedigrees were drawn after interviewing multiple individuals to confirm the relationships. Informed written consents were obtained from the adult subjects and the parents of minor subjects. Two to five ml of peripheral blood samples were collected from each participating individual. Human genomic DNA was isolated from peripheral blood by using inorganic method45. Detailed medical histories were taken for all of the participating individuals of the enrolled families, including the hypopigmentation phenotype of the hair, skin, eye, disease onset, segregation, presence of eye abnormalities (nystagmus, strabismus, photophobia, and poor vision) and information about immunological, neurological or bleeding time.

Sanger sequencing and segregation analysis

Primers (Table S4) covering the coding regions of the TYR, OCA2, TYRP1 and SLC45A2 genes were designed in primer3 software (http://bioinfo.ut.ee/primer3-0.4.0/primer3/input.htm) for Sanger sequencing and segregation analysis. PCR amplification, cleaning, and sequencing reactions were performed as previously described30,32.

Exome Sequencing

DNA samples from some of the participating family members were submitted for exome sequencing (WES) at the Center for Mendelian Genomics (CMG), University of Washington. WES on PKAB137 was performed at the Genetic core facility of Cincinnati Children’s Hospital. Genomic libraries were recovered for exome enrichment using the NimbleGen Exome kits (Roche Diagnostics; San Francisco, CA). Paired-end sequencing was performed using the Illumina Hi-Seq 2000 system (Illumina, San Diego, CA). The obtained sequencing data were analyzed following the guidelines outlined in the Broad Institute’s Genome Analysis Toolkit46. The raw data were mapped using the Burrows Wheeler Aligner47. Variants were called using Unified Genotyper software, and the data were then subjected to further processing and quality control46,47. Golden Helix software was used to analyze the variants found through exome sequencing. The coverage of exome was checked through Golden Helix Genome Browser.

Bioinformatics Analysis

Pathogenicity of novel missense variants was assessed by different bioinformatics prediction programs; Polyphen-2, Sift, and Mutation Taster. Allele frequencies of identified variants were checked in 1000 Genome browser (http://browser.1000genomes.org/), NHLBI-ESP variant database (http://evs.gs.washington.edu/EVS/) and ExAC database (http://exac.broadinstitute.org/). Multiple sequence alignments of orthologous OCA proteins were performed by using Clustal Omega multiple alignment program (http://www.ebi.ac.uk/Tools/msa/clustalo/). The 3D protein structures were predicted by Phyre2 server (http://www.sbg.bio.ic.ac.uk/phyre2/html/page.cgi?id=index) with “Intensive Mode” option which is a combination of template-based modeling and ab initio methods48.

Tetra Primer Amplification Refractory Mutation System (ARMS) assay

PCR primers (Table S5) used for Tetra-primers ARMS assay were designed by adjusting maximum (1:8) and minimum (1:3) relative size difference of two inner products and keeping others by default settings. Reaction mixture contains 10 ul 2X ECONOTAQ, 0.5 ul of 10 Um outer primers and 1.0 ul of 10 Um inner primers each, 50 ng (2 ul) genomic DNA and 5 ul H2O. The thermo cycling conditions are: initial denaturation of 4 min at 95 °C and followed by 35 cycles of 95 °C for 30 sec, 60 °C for 45 sec, 72 °C for 45 sec, and a final extension at 72 °C for 8 min. The PCR product was visualized in 2.0% agarose gel stained with ethidium bromide.

Exon-trapping assay

To ascertain the consequences of novel splice site variants found in our OCA families, the wild and mutant exons along with flanking intronic region (200 bp) were PCR amplified, cloned in pSPL3 vector (Invitrogen, Carlsbad, CA) and sequence verified as described49. Purified cloned constructs were transfected into COS7 cells using PEI (Polyethylenimine). After 48 hours of transfection, RNA was extracted using TRIzol reagent (Invitrogen, Carlsbad, CA) and single stranded cDNA (Clontech, Mountain View, CA) was synthesized. Primary PCR amplification of cDNA was performed using SD6 and SA2 vector primers and amplified products were cloned in TA-cloning vector (Invitrogen). At least ten bacterial clones for each construct were Sanger sequenced.

Expression constructs, transfection and immunofluorescence

All expression constructs used for immunofluorescence study were in eGFP-tagged vector (Clontech). For generating mutant constructs, mutagenesis was performed by using QuikChange kit (Stratagene, La Jolla, CA) and used specific wild type eGFP construct as a template. Each construct was transiently transfected in melanocytes or HEK293 cells seeded on cover slips with Lipofectamine 3000 (Invitrogen). After 48 hours of transfection either at 37 °C or 31 °C, cells were fixed and permeabilized in 4% paraformaldehyde and 0.1% Triton X-100 in PBS, respectively. For endoplasmic reticulum and nucleus visualization anti-Calregulin antibodody (Santa Cruz Biotechnology, Santa Cruz, CA) and DAPI staining was performed. A Zeiss LSMDUO confocal microscope was used for imaging.

Additional Information

How to cite this article: Shahzad, M. et al. Molecular outcomes, clinical consequences, and genetic diagnosis of Oculocutaneous Albinism in Pakistani population. Sci. Rep. 7, 44185; doi: 10.1038/srep44185 (2017).

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Material

Supplementary Information
srep44185-s1.pdf (19.9MB, pdf)

Acknowledgments

We thank the participants for their cooperation. We thank Shakeel Sheikh, Fareeha Zulfiqar, Suruchi Shrestha and Thomas Jaworek for their technical assistance. We thank Drs. Saumil Sethna, Elodie Richard and Arnaud Giese for their valuable critiques of the work and helpful discussions. The authors acknowledge support of the National Human Genome Research Institute and the National Heart, Lung, and Blood Institute. Funding was provided by HG006504 (Yale Center for Mendelian Disorders), HG006542 (Baylor-Hopkins Center for Mendelian Genomics) and HG006493 (University of Washington Center for Mendelian Genomics). This study was supported by National Institute of Arthritis and Musculoskeletal and Skin Diseases research grant R56AR065483 to ZMA.

Footnotes

The authors declare no competing financial interests.

Author Contributions Conception and design of the work: M.A.K., A.M.W., R.S.S., S.R., Z.M.A. Acquisition of data: M.S., S.Y., T.K., U.W.C.M.G., Y.M.W., H.G., N.T., U.M. Analysis and interpretation of data: all authors. Drafting of the manuscript: M.S., S.Y., S.R., Z.M.A. Critical revision of the manuscript: S.R., Z.M.A. Final approval of the version to be published: all authors.

Contributor Information

University of Washington Center for Mendelian Genomics (UW CMG) Consortium:

Michael J. Bamshad, Jay Shendure, Deborah A. Nickerson, Gonçalo R. Abecasis, Peter Anderson, Elizabeth Marchani Blue, Marcus Annable, Brian L. Browning, Kati J. Buckingham, Christina Chen, Jennifer Chin, Jessica X. Chong, Gregory M. Cooper, Colleen P. Davis, Christopher Frazar, Tanya M. Harrell, Zongxiao He, Preti Jain, Gail P. Jarvik, Guillaume Jimenez, Eric Johanson, Goo Jun, Martin Kircher, Tom Kolar, Stephanie A. Krauter, Niklas Krumm, Suzanne M. Leal, Daniel Luksic, Colby T. Marvin, Sean McGee, Karynne Patterson, Marcos Perez, Sam W. Phillips, Jessica Pijoan, Christa Poel, Seamus Ragan, Frederic Reinier, Peggy D. Robertson, Regie Santos-Cortez, Aditi Shankar, Krystal Slattery, Cindy Shephard, Kathryn M. Shively, Deborah L. Siegel, Joshua D. Smith, Holly K. Tabor, Monica Tackett, Marc Wegener, Gao Wang, Marsha M. Wheeler, Amber Wright, and Qian Yi

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