Literature DB >> 21364876

Carrier screening for spinal muscular atrophy (SMA) in 107,611 pregnant women during the period 2005-2009: a prospective population-based cohort study.

Yi-Ning Su1, Chia-Cheng Hung, Shin-Yu Lin, Fang-Yi Chen, Jimmy P S Chern, Chris Tsai, Tai-Sheng Chang, Chih-Chao Yang, Hung Li, Hong-Nerng Ho, Chien-Nan Lee.   

Abstract

BACKGROUND: Spinal muscular atrophy (SMA) is the most common neuromuscular autosomal recessive disorder. The American College of Medical Genetics has recently recommended routine carrier screening for SMA because of the high carrier frequency (1 in 25-50) as well as the severity of that genetic disease. Large studies are needed to determine the feasibility, benefits, and costs of such a program. METHODS AND
FINDINGS: This is a prospective population-based cohort study of 107,611 pregnant women from 25 counties in Taiwan conducted during the period January 2005 to June 2009. A three-stage screening program was used: (1) pregnant women were tested for SMA heterozygosity; (2) if the mother was determined to be heterozygous for SMA (carrier status), the paternal partner was then tested; (3) if both partners were SMA carriers, prenatal diagnostic testing was performed. During the study period, a total of 2,262 SMA carriers with one copy of the SMN1 gene were identified among the 107,611 pregnant women that were screened. The carrier rate was approximately 1 in 48 (2.10%). The negative predictive value of DHPLC coupled with MLPA was 99.87%. The combined method could detect approximately 94% of carriers because most of the cases resulted from a common single deletion event. In addition, 2,038 spouses were determined to be SMA carriers. Among those individuals, 47 couples were determined to be at high risk for having offspring with SMA. Prenatal diagnostic testing was performed in 43 pregnant women (91.49%) and SMA was diagnosed in 12 (27.91%) fetuses. The prevalence of SMA in our population was 1 in 8,968.
CONCLUSION: The main benefit of SMA carrier screening is to reduce the burden associated with giving birth to an affected child. In this study, we determined the carrier frequency and genetic risk and provided carrier couples with genetic services, knowledge, and genetic counseling.

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Year:  2011        PMID: 21364876      PMCID: PMC3045421          DOI: 10.1371/journal.pone.0017067

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

The main purpose of carrier screening is to identify asymptomatic carrier couples with no family history who are at risk for offspring with a specific genetic disease. Recently, the American College of Medical Genetics recommended routine carrier screening for spinal muscular atrophy (SMA) in the general population because of its high carrier frequency and the severity of the genetic disease [1]. Proximal SMA is the most common autosomal recessive neurodegenerative disorder. This severe neuromuscular disease affects 1 in 5,000 to 1 in 10,000 live births and is associated with an overall carrier frequency of 1 in 35 to 1 in 50 in the general population [2], [3], [4], [5]. SMA is caused by degeneration and loss of the alpha motor neurons of the anterior horn cells of the spinal cord, leading to progressive symmetric proximal muscle weakness and atrophy [6]. Currently, there is no treatment for the disease [6]. Type I SMA (Werdnig-Hoffman disease, OMIM 253300) manifests as severe muscle weakness and hypotonia with onset in early infancy, and fatal respiratory failure usually before 2 years of age. Type II SMA (intermediate, OMIM 253550) is characterized by onset before 18 months of age, an ability to sit but not to walk unaided, and survival beyond 4 years of age. Type III SMA (Kugelberg-Welander disease, OMIM 253400) is a mild form with onset in late childhood and survival into adulthood. Type IV SMA (OMIM 271150) is an adult form, with onset at 35 years of age or older. All clinical forms of SMA map to chromosome 5q13, a region that contains two survival motor neuron (SMN) genes that compromise two nearly identical copies, a centromeric copy of the survival motor neuron 2 (SMN2) gene and a telomeric copy of the survival motor neuron 1 (SMN1) gene [7]. The SMN1 gene contributes more than 90% of the functionality of the SMN protein [8]. A point mutation in exon 7, a C to T substitution, creates an exonic splicing silencer or disrupts an exonic slicing enhancer [9], [10], leading to an SMN2 gene product with a truncated SMN protein lacking exon 7. Mutations in the SMN1 gene result in reduction of survival of the SMN protein, which leads to various severities of clinical SMA. More than 94% of typical SMA patients have homozygous absence of the SMN1 gene, which occurs by deletion or conversion to the SMN2 gene, with absence of exon 7 or both exons 7 and 8 [11]. The SMN2 copy number leads to variable phenotypes and severities of SMA, ranging from symptomatic disease in early childhood to asymptomatic disease, and the varying clinical phenotypes correlate with the copy number of SMN2 [12], [13]. Carrier screening for Tay-Sachs disease in Ashkenazi Jews has been offered since 1969 [14], and the screening programs have led to a marked reduction in the incidence of Tay-Sachs disease in that population. More broad-based population carrier testing for cystic fibrosis and Gaucher disease has been offered in New York since 1994 and in Israel since 1995 [15], [16]. Criteria for carrier screening for a genetic disorder generally include clinical severity, high carrier frequency, a reliable and cost-effective testing platform, and availability of genetic counseling for carrier couples [17]. Population-based preconception and prenatal carrier screening for SMA should be made available on a routine basis because of its incidence and severity, high carrier frequency rate, and the availability of a screening test by quantitative polymerase chain reaction or hybridization-based approaches [18], [19], [20]. Although there are many strategies for estimating SMN1 allele frequency [21], [22], [23], [24], [25], population-based carrier screening is controversial because no pilot studies have been conducted. It is, therefore, critical to provide population-based genetic screening of SMA carriers. We, therefore, performed a nationwide SMA carrier genetic screening study using two different assay methods. Denaturing high-performance liquid chromatography (DHPLC) and multiplex ligation-dependent probe amplification (MLPA) [26] were used to detect the presence of SMN1 and SMN2 among a cohort of 107,611 individuals from 25 counties in Taiwan during the period January 2005 to June 2009. A three-stage screening program was used: (1) pregnant women were tested for SMA heterozygosity; (2) if a woman was heterozygous for SMA (carrier status), the paternal partner was then tested; and (3) if both partners were SMA carriers, prenatal diagnostic testing was performed.

Materials and Methods

Sample Collection

Individuals were enrolled into the study after providing written informed consent to participate in the SMA-carrier screening program. This study was approved by the Institutional Review Board and Research Ethics Committee of the National Taiwan University Hospital. All individuals were given a written information datasheet about SMA carrier screening. Potential participants were provided with a brief explanation of SMA history, the genetics of SMA, an overview of inheritance, and information on the estimated carrier frequency in the general population, the availability of carrier testing, and the benefits, costs, and limitations of genetic counseling. All subjects were informed that confidentiality would be maintained. The individuals were given a choice to participate in SMA carrier testing and retained the right to refuse participation at any time during the study. The demographic characteristics of the pregnant women recruited into the study are listed in Table 1.
Table 1

Demographic Characteristics of the 107,611 Pregnant Women Enrolled in the Study.

Year20052006200720082009Total
Number of Pregnant Women6,39517,76930,33534,98318,129107,611
Age (years) N (%)
≤1962(0.97)176(0.99)249(0.82)286(0.82)113(0.62)886(0.82)
20–293,456(54.04)9,055(50.96)14,345(47.29)16,358(46.76)7,648(42.19)50,862(47.27)
30–392,794(43.69)8,281(46.60)15,277(50.36)17,744(50.72)10,021(55.28)54,117(50.29)
≥4083(1.30)257(1.45)464(1.53)595(1.70)347(1.91)1,746(1.62)
Gestational Age N (%)
<20 weeks5,874(91.85)16,794(94.51)29,181(96.20)33,757(96.50)17,655(97.39)103,261(95.96)
≥20 weeks521(8.15)975(5.49)1,154(3.80)1,226(3.50)474(2.61)4,350(4.04)
Ethnic Origin N (%)
Taiwanese6,151(96.18)17,107(96.27)29,316(96.64)33,866(96.81)17,506(96.56)103,946(96.59)
Non-Taiwanese244(3.82)662(3.73)1,019(3.36)1,117(3.19)623(3.44)3,665(3.41)
Residency N (%)
Northern Taiwan3,273(51.18)7,240(40.75)15,343(50.55)16,563(47.35)8,532(47.06)50,951(47.35)
Central Taiwan608(9.51)3,288(18.50)7,376(24.32)9,150(26.16)4,763(26.27)25,185(23.40)
Southern Taiwan2,351(36.76)6,706(37.74)6,958(22.94)8,739(24.98)4,537(25.03)29,291(27.22)
Eastern Taiwan160(2.50)531(2.99)651(2.15)519(1.48)292(1.61)2,153(2.00)
Surrounding lands3(0.05)4(0.02)7(0.02)12(0.03)5(0.03)31(0.03)
Parity N (%)
13,946(61.70)11,288(63.53)19,950(65.77)23,965(68.50)13,328(73.52)72,477(67.35)
21,962(30.68)5,344(30.07)8,433(27.80)8,434(24.11)3,637(20.06)27,810(25.84)
3396(6.20)1,004(5.65)1,769(5.83)2,354(6.73)1,016(5.60)6,539(6.08)
≥491(1.42)133(0.75)183(0.60)230(0.66)148(0.82)785(0.73)

Three-stage Screening

We used a three-stage screening process to estimate the prevalence and define the characteristics of SMA in Taiwan. During the first-stage screening, a total of 107,611 pregnant women were recruited from 383 primary clinics located in 25 counties. There were 163 (42.6%) clinics located in northern Taiwan, 103 (26.9%) located in central Taiwan, 97 (25.3%) located in southern Taiwan, and 20 (5.2%) located in eastern Taiwan. During the second-stage screening process, 2,038 spouses or partners were screened. High-risk couples were assigned to complete the third-stage diagnostic assessment with the genetic counseling. Prenatal diagnostic testing was performed in 47 women.

Genetic Counseling

The counseling team consisted of medical geneticists, genetic counselors, social workers, and pediatric neurologists. The genetic counselors were available anytime on line to give more information.

(a) Pretest counseling

Each hospital or clinic informed pregnant women of the SMA study using an information datasheet and brochures. The physicians of these units were personally contacted and educated by our counseling team. The information datasheet offered women basic information on SMA, carrier frequency, autosomal recessive inheritance, sensitivity, outcomes, effects, and limitations. The call for participants was sent in regard to a national study on carrier screening for SMA, and participants were informed by each center's physician. Moreover, the participant's confidentiality was maintained and the results of genetic testing were reviewed and signed by a geneticist at the National Taiwan University Hospital.

(b) Interpretation of results

Provision of results is an important component of genetic counseling. When a pregnant woman was identified as being heterozygous for SMA upon screening, the couple was referred for genetic counseling. Moreover, the paternal partner was asked to undergo SMA carrier testing. If both partners were identified as a carrier couple, we provided face-to-face genetic counseling and explained the options for invasive prenatal genetic diagnostic testing of the fetus, either by chorionic villus sampling (CVS) or amniocentesis. The couples were also told that they also had the right to refuse participation at any point in the study.

(c) Posttest counseling

If the prenatal diagnostic testing results were negative for SMA, the counselors explained to the couple that the result could be a false-negative result. If the prenatal diagnostic testing results confirmed that the fetus had SMA, the couple received further genetic counseling at a genetic counseling center. Couples were informed of the different management decisions available and were asked for permission to perform genetic testing of their existing children, if any, born before the SMA screening.

DNA extraction

After having undergone genetic counseling and obtaining informed consent for participation during the pretest period, genomic DNA was extracted from peripheral whole blood using the Chemagic DNA Blood Kit (Chemagen, Worcester, MA, USA), according to the manufacturer's instructions.

Multiplex Polymerase Chain Reaction and DHPLC Analysis

Deletions or conversions of the SMN1 gene are present in 95% of SMA carriers worldwide. We calculated the SMN1/SMN2 ratio using multiplex PCR to determine the relative and absolute gene dosages of the SMN1 and SMN2 genes. Genotypes of the SMN1/SMN2 genes were scanned using DHPLC as described previously [26], [27].

Multiplex Ligation-dependent Probe Amplification

A commercially available MLPA kit for SMA (SALSA P021) was used according to the manufacturer's protocol (MRC-Holland, Amsterdam, The Netherlands) to confirm the genotypes of the SMN genes. The P021 probe mix contained 37 probes including two probes specific to exon 7 of the SMN1 and SMN2 genes (1260-L0966 and 1260-L0967), two probes specific to exon 8 of the SMN1 and SMN2 genes (1812-L1373 and 1812-L372), four probes specific to exons 1, 4, 6 and 8 of both the SMN1 and SMN2 genes (1814-L0807 to L0810), eight probes for genes co-located with SMN1, and other probes for other chromosomes and reference probes. The resulting DNA fragments were analyzed on the Beckman CEQ-8000 Genetic Analysis System (Beckman Coulter, Fullerton, CA, USA) with CEQ software using the D1-labeled 600 DNA size standard (Beckman Coulter).

Classification of SMA Severity

Based on the genotype, fetuses who carried only the SMN2 gene were classified according to risk for asymptomatic, mild, or severe SMA. This classification was based on published studies [11], [28], [29]. Severe disease was diagnosed in fetuses with one or two SMN2 copies and mild or asymptomatic SMA was diagnosed in fetuses with three or more copies of the SMN2 gene.

Results

First-stage: Prescreening

During the 4.5-year period (from January 2005 to June 2009), 383 clinics in 25 counties offered SMA carrier screening. DHPLC was used as the pre-screening tool and MLPA was used for further confirmation in cases at high risk of being a carrier. A total of 107,611 pregnant women underwent SMA screening (Table 1). The maternal age ranged from 20 to 39 years in 98% (104,979) of the women, and the gestational age of 96% (103,261) of the fetuses was less than 20 weeks. The majority (67%, 72,477) of the women were pregnant with their first child, 96% (103,946) of the women were Taiwanese, and 47% (50,591) lived in northern Taiwan. The detailed genotype distributions and the frequencies of the various SMA genotypes are listed in Table 2. Among the participants, about 90% (97,128/107,611) of the individuals with wild type SMN1 had two copies of the gene. Only about 7% (8,020) had three copies of the SMN1 gene, and only 0.18% (197) of individuals had four copies of the SMN1 gene, indicating that they had at least two SMN1 alleles on the same chromosome. Carriers were defined as having only one copy of the SMN1 gene. In the population we screened, 2,262 individuals were identified as being SMA carriers. The carrier rate was 2.10%, indicating that the carrier prevalence was about 1/48 in this study, which is lower than the 1/40 carrier frequency for SMA reported in Western countries [30].
Table 2

Spinal Muscular Atrophy Genotype Distribution.

Year(month)20052006200720082009 (1–6)Total
SMN1∶SMN2
0 Copies of SMN1 N (%) 1(0.02)0(0)1(0)1(0)1(0.01)4(0.01)
0∶20(0)0(0)0(0)0(0)0(0)0(0)
0∶30(0)0(0)0(0)0(0)1(0.01)1(0)
0∶41(0.02)0(0)1(0)1(0)0(0)3(0)
1 Copy of SMN1 N (%) 146(2.28)409(2.30)632(2.08)728(2.08)347(1.91)2,262(2.10)
1∶02(0.03)0(0)0(0)3(0.01)4(0.02)9(0.01)
1∶117(0.27)53(0.30)94(0.31)100(0.29)49(0.27)313(0.29)
1∶258(0.91)157(0.88)279(0.92)319(0.91)140(0.77)953(0.89)
1∶369(1.07)198(1.11)258(0.85)303(0.87)153(0.84)981(0.91)
1∶40(0)1(0.01)1(0)3(0.01)1(0.01)6(0.01)
2 Copies of SMN1 N (%) 5,769(90.21)16,039(90.26)27,403(90.34)31,525(90.12)16,392(90.42)97,128(90.26)
2∶0245(3.83)605(3.40)1,017(3.35)1,178(3.37)586(3.23)3,631(3.37)
2∶11,771(27.69)5,024(28.27)8,599(28.35)9,851(28.16)5,172(28.53)30,417(28.27)
2∶23,643(56.97)10,089(56.78)17,196(56.69)19,829(56.68)10,278(56.69)61,035(56.72)
2∶3110(1.72)321(1.81)591(1.95)667(1.91)356(1.96)2,045(1.90)
3 Copies of SMN1 N (%) 472(7.38)1291(7.27)2,255(7.43)2,647(7.57)1,355(7.47)8,020(7.45)
3∶078(1.22)209(1.18)425(1.40)411(1.17)214(1.18)1,337(1.24)
3∶1206(3.22)557(3.13)999(3.29)1,242(3.55)610(3.37)3,614(3.36)
3∶2188(2.94)525(2.96)831(2.74)994(2.84)531(2.93)3,069(2.85)
4 Copies of SMN1 N (%) 7(0.11)30(0.17)44(0.15)82(0.23)34(0.19)197(0.18)
4∶07(0.11)30(0.17)44(0.15)82(0.23)34(0.19)197(0.18)
Total6,39517,76930,33534,98318,129107,611
The observed heterozygous SMA carrier genotypes involved either deletion (1.18%, 1-SMN1/1-SMN2 or 1-SMN1/2-SMN2) or conversion (0.92%, 1-SMN1/3-SMN2 or 1-SMN1/4-SMN2). There were nine SMA carriers with one copy of SMN1 and no copies of SMN2 (1-SMN1/0-SMN2). The average number of SMN1 alleles was 2.06 copies.

Second-Stage Screening Results

During the first-phase staging process, a total of 2,262 women were determined to be at high risk for carrying a fetus with SMA. Among the 2,262 partners or spouses, 224 persons refused to participate or could not be traced because of changes in contact information or because they worked outside the country during the study period. During the first and second stage screenings and genetic counseling sessions, another 47 partners or spouses were also determined to be at high risk of being SMA carriers. The carrier rate in the second phase was 2.31% (47/2,038). Notably, four pregnant women were found to carry only SMN2 alleles and no SMN1 allele (Table 2). These women had mild clinical symptoms, such as needing assistance to stand up or climb stairs, but were able to walk without walking aids or wheelchairs. Some of the women accounted for their disabilities by blaming previous traffic accidents or falls in childhood. They were not identified as having proximal muscle weakness until they underwent the prenatal SMA screening protocol.

Third-stage: Post-screening Results

We identified 47 carrier couples with known genotypes who were at high risk of having SMA-affected offspring. Face-to-face genetic counseling was done with all of these couples. Of the 47 couples, 43 women (91.49%) underwent prenatal diagnostic procedures (CVS or amniocentesis). The results of CVS or amniocentesis revealed that eight women were carrying fetuses with wild-type SMN1, 23 women were carrying fetuses with SMA carrier status, and 12 women had fetuses at high risk for SMA. The genotypes of the couples at risk for offspring with SMA and the genotype distributions of the screening results for these fetuses are shown in Table 3. Previous studies have reported that SMA genotype correlates with SMA phenotype. In the 12 affected fetuses, seven were 0-SMN1/2-SMN2, three were 0-SMN1/3-SMN2, and two were 0-SMN1/4-SMN2. After careful and non-directive prenatal counseling, 11 (91.67%) of the 12 pregnancies were terminated, including the five that might have resulted in milder type II and type III phenotypes.
Table 3

Genotypes of Couples at Risk for Offspring with Spinal Muscular Atrophy.

Offspring GenotypeCopy no. of genesNParental GenotypeCopy no. of SMN1/SMN2 genesPregnancies Terminated
0-SMN1/2-SMN231/11/2 2
41/21/2 4
0-SMN1/3-SMN231/21/3 3
0-SMN1/4-SMN221/31/3 2
1-SMN1/1-SMN211/11/2 0
11/11/3 0
11/21/2 0
1-SMN1/2-SMN211/21/2 0
31/21/3 0
1-SMN1/3-SMN231/11/3 0
71/21/3 0
61/31/3 0
2-SMN1/2-SMN221/11/2 0
11/11/3 0
31/21/2 0
11/21/3 0
11/31/3 0
Total43 11
The outcomes of the population-based SMA screening program in Taiwan are listed in Table 4. One infant with no SMN1 and two SMN2 alleles was born after genetic counseling. He did not have delayed developmental milestones initially and was cared for at home. Limited limb movement and slight subcostal retraction were noted at 50 days of age. Nasal flaring and abdominal paradoxical movement developed by 82 days of age. The infant died due to respiratory failure at 90 days of age.
Table 4

Outcome of Population-based Spinal Muscular Atrophy (SMA) Screening in Taiwan.

Year (month)20052006200720082009 (1–6)Total
Total Pregnancies in Taiwan* 209,021207,131205,466198,468194,4891,014,575
Pregnant Women in this Study6,39517,76930,33534,98318,129107,611
Carriers Identified1464096327283472,262
Carrier Rate of Pregnant Women2.28%2.30%2.08%2.08%1.91%2.10%
Partners Tested1373725316643292,038
Recall Rate93.84%90.95%84.02%91.21%94.81%90.10%
Carrier Couples Identified481216747
Carrier Rate of Partners2.92%2.15%2.26%2.41%2.13%2.31%
Prenatal Diagnoses381114743
Affected Cases1243212
Prevalence of SMA1/6,3951/8,8851/7,5841/11,6611/9,0651/8,968
Pregnancies Terminated1243111
Termination Rate100%100%100%100%50%91.67%

*Data available from the Bureau of Health Promotion, Department of Health, Taiwan (http://www.bhp.doh.gov.tw/BHPnet/Portal/).

*Data available from the Bureau of Health Promotion, Department of Health, Taiwan (http://www.bhp.doh.gov.tw/BHPnet/Portal/).

Discussion

In Taiwan, it is routine for pregnant women to undergo prenatal screening for thalassemia, but not for other single-gene disorders, such as cystic fibrosis. The goal of carrier screening programs for autosomal recessive diseases is to identify asymptomatic carrier couples and reduce the prevalence of affected fetuses early in pregnancy. SMA is one of the most common lethal genetic disorders, with a carrier frequency of 1/35 to 1/50 in the general population [31], [32], [33]. This carrier rate is high enough to warrant the implementation of routine direct carrier testing and screening programs worldwide. In Taiwan, there are approximately 200,000 pregnancies per year (Department of Health, Taiwan). With a carrier frequency of 1 in 48, the number of pregnancies involving a fetus at risk for SMA would be about 20 per year. Although the American College of Medical Genetics recommends routine carrier screening for SMA [1], the American College of Obstetricians and Gynecologists does not recommend the adoption of routine prenatal screening for SMA in the general population because there is a lack of sufficient pilot data and lack of data on cost effectiveness [34]. Therefore, large prospective pilot studies of carrier screening for SMA in the general population are needed to determine how such a program would fare. Studies have shown that DHPLC and MLPA are reliable methods for quantifying SMN1/SMN2 copy numbers and determining the heterozygous status for SMN1 deletions or conversions among carriers [20], [26], [27]. In our screening program, we utilized DHPLC followed by MLPA for confirmation. Moreover, our population-based SMA screening program allowed carriers to make informed reproductive choices [35], [36]. Therefore, our SMA screening program fulfills many of the criteria addressed by the American College of Obstetricians and Gynecologists, including availability of parallel methods that are cost-effective, highly sensitive, and highly specific. In addition, couples were able to obtain the results of the carrier-screening program and a prenatal diagnosis was made early in the pregnancy. Most importantly, couples were able to participate in well-documented genetic counseling, allowing them to become well informed and educated during the pretest and post-test screening stages. In this screening program, we found that the SMN1 carrier frequency in the Taiwan population (1 in 48) was comparable to the ranges (1 in 35 to 50) reported in genetic epidemiological studies in western countries and in southern Chinese populations [23], [32], [37]. In our population, the genetic risk assessments for frequency of SMN1 copies per allele were in Hardy-Weinberg equilibrium based on our data in the general population. The SMN1 allele frequencies were 1% for zero copies, 94.78% for one copy, 4.2% for two copies, and 0.02% for one-copy disease. We note three limitations of the SMA carrier-screening program that will slightly decrease the sensitivity of the test. First, this assay does not identify the estimated 0.084% of carriers with two copies of SMN1 on a single chromosome and no copies on the second chromosome, which is defined as “2+0” carriers [25], [38]. This is a major source of false-negative screening outcomes. Individuals with two copies of SMN1 on one chromosome are at a 50% risk for having offspring that inherit an allele without a functional SMN1 gene. The prior and adjusted carrier rates in our population were approximately 1∶49 and 1∶738, respectively, which are similar to the prior and adjusted carrier rates reported previously [23]. Second, 2% of SMA cases arise as a result of de novo mutation events [11], [38], [39]. Third, 1.7% of carriers could have intragenic mutations in others exons of the SMN1 gene [25]. False-negatives can occur based these situations. The negative predictive value of DHPLC coupled with MLPA is 99.87% and the combined method can detect 93.88% of carriers since most of the cases result from a common single deletion event [40]. Genetic counseling is very important for the SMA target group. Couples must receive adequate and balanced information during the pretest and posttest periods of the screening program. Genetic counseling during the pretest process comprises providing information about the disease, the carrier frequency, inheritance patterns, prediction of severity, and relevant aspects of test performance. This information is provided on a fact sheet and brochure. Specifically, genetic counseling addresses the limitations of dosage testing and the possibility of false-negative results. Genetic screening programs, however, present ethical dilemmas. Although SMA is not a disease that causes mental disability, individuals with SMA can suffer from severely progressive and life-threatening muscular disabilities. Gene dosage analyses have revealed that there is an inverse relationship between the number of SMN2 gene copies and severity of SMA [12]. However, a major issue of carrier screening is that one cannot predict the phenotype from carrier testing. When two carriers are identified, it is not possible to inform them what type of offspring they are at risk of having. This is a major limitation of testing. There are several reports of individuals with homozygous deletion of the SMN1 gene who were asymptomatic 0-SMN1/4-SMN2 because of the presence of other modifying genes [13], [41], [42]. After non-directive and non-judgmental counseling, the couples with the affected SMA fetuses chose to terminate the pregnancies despite the clinical subtype. The high termination rate in Taiwan may due to religiosity or social mores. Moreover, it may be an indication of how parents feel about having a child affected with SMA, regardless of the phenotype. Because SMA is present in all populations, carrier testing should be offered to all couples regardless of race or ethnicity. Analyses of larger populations in different countries are needed to evaluate the benefit and the effectiveness of each screening program. Our study is, so far, the largest scale study to evaluate the outcomes of a nationwide, population-based screening program for SMA. Our results suggest that SMA carrier screening should be integrated into global prenatal care.
  42 in total

1.  ACOG committee opinion No. 432: spinal muscular atrophy.

Authors: 
Journal:  Obstet Gynecol       Date:  2009-05       Impact factor: 7.661

2.  Newborn and carrier screening for spinal muscular atrophy.

Authors:  Thomas W Prior; Pamela J Snyder; Britton D Rink; Dennis K Pearl; Robert E Pyatt; David C Mihal; Todd Conlan; Betsy Schmalz; Laura Montgomery; Katie Ziegler; Carolee Noonan; Sayaka Hashimoto; Shannon Garner
Journal:  Am J Med Genet A       Date:  2010-07       Impact factor: 2.802

3.  Spinal muscular atrophy: newborn and carrier screening.

Authors:  Thomas W Prior
Journal:  Obstet Gynecol Clin North Am       Date:  2010-03       Impact factor: 2.844

Review 4.  Genetic screening and counseling.

Authors:  Mary E Norton
Journal:  Curr Opin Obstet Gynecol       Date:  2008-04       Impact factor: 1.927

5.  Genetic carrier screening for spinal muscular atrophy and spinal muscular atrophy with respiratory distress 1 in an isolated population in Israel.

Authors:  Lina Basel-Vanagaite; Ellen Taub; Valerie Drasinover; Nurit Magal; Alona Brudner; Joel Zlotogora; Mordechai Shohat
Journal:  Genet Test       Date:  2008-03

Review 6.  Spinal muscular atrophy.

Authors:  Mitchell R Lunn; Ching H Wang
Journal:  Lancet       Date:  2008-06-21       Impact factor: 79.321

7.  Unaffected patients with a homozygous absence of the SMN1 gene.

Authors:  Maria Jedrzejowska; Janina Borkowska; Janusz Zimowski; Anna Kostera-Pruszczyk; Michał Milewski; Marta Jurek; Danuta Sielska; Ewa Kostyk; Walenty Nyka; Jacek Zaremba; Irena Hausmanowa-Petrusewicz
Journal:  Eur J Hum Genet       Date:  2008-03-12       Impact factor: 4.246

8.  A population-based study of genotypic and phenotypic variability in children with spinal muscular atrophy.

Authors:  Eva Arkblad; Már Tulinius; Anna-Karin Kroksmark; Mirja Henricsson; Niklas Darin
Journal:  Acta Paediatr       Date:  2009-01-20       Impact factor: 2.299

9.  Differences in SMN1 allele frequencies among ethnic groups within North America.

Authors:  B C Hendrickson; C Donohoe; V R Akmaev; E A Sugarman; P Labrousse; L Boguslavskiy; K Flynn; E M Rohlfs; A Walker; B Allitto; C Sears; T Scholl
Journal:  J Med Genet       Date:  2009-07-21       Impact factor: 6.318

10.  Carrier screening for spinal muscular atrophy.

Authors:  Thomas W Prior
Journal:  Genet Med       Date:  2008-11       Impact factor: 8.822

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  16 in total

1.  Carrier screening in preconception consultation in primary care.

Authors:  Sylvia A Metcalfe
Journal:  J Community Genet       Date:  2011-12-20

2.  Notable Carrier Risks for Individuals Having Two Copies of SMN1 in Spinal Muscular Atrophy Families with 2-copy Alleles: Estimation Based on Chinese Meta-analysis Data.

Authors:  Xianda Wei; Hu Tan; Pu Yang; Rui Zhang; Bo Tan; Yue Zhang; Libin Mei; Desheng Liang; Lingqian Wu
Journal:  J Genet Couns       Date:  2016-07-16       Impact factor: 2.537

Review 3.  Using Systems Biology and Mathematical Modeling Approaches in the Discovery of Therapeutic Targets for Spinal Muscular Atrophy.

Authors:  Matthew E R Butchbach
Journal:  Adv Neurobiol       Date:  2018

4.  Pilot study of population-based newborn screening for spinal muscular atrophy in New York state.

Authors:  Jennifer N Kraszewski; Denise M Kay; Colleen F Stevens; Carrie Koval; Bianca Haser; Veronica Ortiz; Anthony Albertorio; Lilian L Cohen; Ritu Jain; Sarah P Andrew; Sally Dunaway Young; Nicole M LaMarca; Darryl C De Vivo; Michele Caggana; Wendy K Chung
Journal:  Genet Med       Date:  2017-10-12       Impact factor: 8.822

Review 5.  Use of the MLPA assay in the molecular diagnosis of gene copy number alterations in human genetic diseases.

Authors:  Liborio Stuppia; Ivana Antonucci; Giandomenico Palka; Valentina Gatta
Journal:  Int J Mol Sci       Date:  2012-03-08       Impact factor: 6.208

6.  The analysis of the association between the copy numbers of survival motor neuron gene 2 and neuronal apoptosis inhibitory protein genes and the clinical phenotypes in 40 patients with spinal muscular atrophy: Observational study.

Authors:  Yinhong Zhang; Jing He; Yunqian Zhang; Li Li; Xinhua Tang; Lei Wang; Jingjing Guo; Chanchan Jin; Sean Tighe; Yuan Zhang; Yingting Zhu; Baosheng Zhu
Journal:  Medicine (Baltimore)       Date:  2020-01       Impact factor: 1.889

7.  SMN1 and SMN2 copy numbers in cell lines derived from patients with spinal muscular atrophy as measured by array digital PCR.

Authors:  Deborah L Stabley; Ashlee W Harris; Jennifer Holbrook; Nicholas J Chubbs; Kevin W Lozo; Thomas O Crawford; Kathryn J Swoboda; Vicky L Funanage; Wenlan Wang; William Mackenzie; Mena Scavina; Katia Sol-Church; Matthew E R Butchbach
Journal:  Mol Genet Genomic Med       Date:  2015-03-21       Impact factor: 2.183

8.  Transcriptome profiling of spinal muscular atrophy motor neurons derived from mouse embryonic stem cells.

Authors:  Miho Maeda; Ashlee W Harris; Brewster F Kingham; Casey J Lumpkin; Lynn M Opdenaker; Suzanne M McCahan; Wenlan Wang; Matthew E R Butchbach
Journal:  PLoS One       Date:  2014-09-05       Impact factor: 3.240

Review 9.  Copy Number Variations in the Survival Motor Neuron Genes: Implications for Spinal Muscular Atrophy and Other Neurodegenerative Diseases.

Authors:  Matthew E R Butchbach
Journal:  Front Mol Biosci       Date:  2016-03-10

Review 10.  Prevalence, incidence and carrier frequency of 5q-linked spinal muscular atrophy - a literature review.

Authors:  Ingrid E C Verhaart; Agata Robertson; Ian J Wilson; Annemieke Aartsma-Rus; Shona Cameron; Cynthia C Jones; Suzanne F Cook; Hanns Lochmüller
Journal:  Orphanet J Rare Dis       Date:  2017-07-04       Impact factor: 4.123

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