Literature DB >> 34815527

Correction to: The value of single-molecule real-time technology in the diagnosis of rare thalassemia variants and analysis of phenotype-genotype correlation.

Shiqiang Luo1,2, Xingyuan Chen3,4, Dingyuan Zeng5, Ning Tang5, Dejian Yuan1,2, Qingyan Zhong1,2, Aiping Mao6, Ruofan Xu6, Tizhen Yan7,8.   

Abstract

Entities:  

Year:  2022        PMID: 34815527      PMCID: PMC9119259          DOI: 10.1038/s10038-021-00992-0

Source DB:  PubMed          Journal:  J Hum Genet        ISSN: 1434-5161            Impact factor:   3.172


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Correction to: Journal of Human Genetics 10.1038/s10038-021-00983-1, published online 25 October 2021 In the original Table 1 of this article, the names of seventh and eighth columns were misplaced to each other. The name of seventh column should be “Detection range of conventional technology”, while the name of eighth column should be “Detection range of SMRT”. The corrected table is shown below. The conclusions of the paper are not affected.
Table 1

Thalassemia variants identified by SMRT and conventional technology

Common nameHGVS nameClinical significanceAllele frequencyaOccurrencean (%)Detection range of conventional technologyDetection range of SMRTVerification methodReference
4.2N/A1PathogenicNone

Chinese

East Asian

Indian

130 (26.80)YESYESGap-PCR/MLPA[2]
-α3.7NG_000006.1:g.34164_37967del3804PathogenicNoneAfrican, Far East, Indian, Mediterranean95 (19.59)YESYESGap-PCR/MLPA[2]
--SEANG_000006.1:g.26264_45564del19301PathogenicNoneEast Asian94 (19.38)YESYESGap-PCR/MLPA[2]
--THAINC_000016.10:g.149863_183312delPathogenicNoneThai2 (0.41)YESYESGap-PCR/MLPA[2]
2.4N/A1PathogenicNoneChinese1 (0.21)NOYESGap-PCR/MLPA[8]
HS-40 deletionNC_000016.10:g.(47217_113592)_(113687_143639)delPathogenicNoneChinese2 (0.41)YESNOMLPA[9]
HBG1-HBG2N/A1Uncertain-SignificanceNoneChinese1 (0.21)YESNOMLPAThis study
HkααN/A1Uncertain-SignificanceNoneChinese6 (1.24)NOYESGap-PCR[12]
αααanti-4.2N/A1Uncertain-SignificanceNoneChinese2 (0.41)NOYESGap-PCR[10, 11]
αααanti-3.7N/A1Uncertain-SignificanceNoneChinese2 (0.41)NOYESGap-PCR[10, 11]
CD142(TAA>CAA)HBA2:c.427T>CPathogenic14/248854, GnomAD_exome

Arabian

Cambodian

Chinese

Greek

Indian

Indonesian

Laotian

Malasian

Sicilian

Vietnamese

18 (3.71)YESYESRDB/Sanger[2]
CD125(CTG>CCG)HBA2:c.377T>CPathogenic1/136864, GnomADChinese3 (0.62)YESYESRDB/Sanger[2]
CD122(CAC>CAG)HBA2:c.369C>GUncertain-Significance19/116218, ExAC

Chinese

Laotian

2 (0.41)YESYESRDB/Sanger[2]
CD11(AAG>CAG)HBA1:c.34A>CUncertain-Significance19/116218, ExACChinese1 (0.21)NOYESSanger[13]
CD16(AAG>AAC)HBA1:c.51G>CUncertain-SignificanceNone

Chinese

Pakistani

1 (0.21)NOYESSanger[14]
CD27(AAG>AAT)HBA1:c.84G>TUncertain-SignificanceNoneChinese2 (0.41)NOYESSanger[15]
CD6(GAC>TAC)HBA1:c.19G>TUncertain-SignificanceNoneVietnamese1 (0.21)NOYESSanger[16]
CD18(GGC>CGC)HBA1:c.55G>CUncertain-Significance2/138328, GnomAD

Chinese

Indian

Saudi Arabian

4 (0.82)NOYESSanger[17]
Init CD(ATG>A-G)HBA2:c.2delTPathogenicNoneVietnamese1 (0.21)NOYESSanger[18]
Init CD(ATG>ACG)HBA2:c.2T>CPathogenic0/654, ALFAItalian1 (0.21)NOYESSanger[19]
CD17(GTC>TTC)HBA2:c.52G>TUncertain-SignificanceNoneChinese1 (0.21)NOYESSanger[20]
CD30(GAG>CAG)HBA2:c.91G>CUncertain-Significance1/264690, TOPMEDChinese3 (0.62)NOYESSanger[21]
-22 C>THBA2:c.-59C>TPathogenic-Likely-PathogenicNoneNedlands1 (0.21)NOYESSanger[22]
CD85(GAC>AAC)HBA2:c.256G>AUncertain-SignificanceNoneEnglish1 (0.21)NOYESSanger[23]
CD41/42(-TTCT)HBB:c.126_129delCTTTPathogenic7/140174, GnomAD

Chinese 41.84%

English 4.35%

Indonesian 1.69%

Japanese 5.99%

Korean 4.17%

Malaysian 26.32%

Pakistani 6.7%

Punjabi 13.22%

Singapore 37.59%

Taiwanese 30.63%

Thai 37.24%

22 (4.54)YESYESRDB/Sanger[2]
CD17(AAG>TAG)HBB:c.52A>TPathogenic3/140268, GnomAD

Chinese 14.1%

Indonesian 1.69%

Japanese 0.32%

Korean 16.67%

Malaysian 5.26%

Singapore 9.02%

Taiwanese 8.13%

Thai 18.56%

15 (3.09)YESYESRDB/Sanger[2]
-28(A>G)HBB:c.-78A>GPathogenic-Likely-Pathogenic1/140226, GnomAD

Chinese 12.31%

Japanese 0.32%

Malaysian 6.43%

Taiwanese 9.38%

Thai 6.83%

10 (2.06)YESYESRDB/Sanger[2]
CD26(GAG>AAG)HBB:c.79G>APathogenic9/140272, GnomADThai 0.12%5 (1.03)YESYESRDB/Sanger[2]
CD71/72(+A)HBB:c.216_217insAPathogenic2/251430, GnomAD_exome

Chinese

East Asian

3 (0.62)YESYESRDB/Sanger[2]
IVS-II-654(C>T)HBB:c.316-197C>TPathogenic7/140170, GnomAD

Chinese 21.37%

Indonesian 11.86%

Japanese 11.99%

Malaysian 10.53%

Russian 1.52%

Singapore 25.56%

Taiwanese 46.25%

Thai 5.13%

2 (0.41)YESYESRDB/Sanger[2]
CD14/15(+G)HBB:c.45dupGPathogenic1/251224, GnomAD_exome

Chinese

Thai 0.12%

1 (0.21)YESYESRDB/Sanger[2]
-29(A>G)HBB:c.-79A>GPathogenic127/140260, GnomAD

Algerian 3.8%

Black 59.38%

Chinese 2.37%

Malaysian 0.58%

Taiwanese 0.63%

1 (0.21)YESYESRDB/Sanger[2]
CD27/28(+C)HBB:c.84_85insCPathogenic1/264690, TOPMED

Chinese 0.59%

Singapore 0.75%

Taiwanese 2.5%

Thai 0.24%

1 (0.21)YESYESRDB/Sanger[2]
IVS-I-5(G>C)HBB:c.92+5G>CPathogenic1/140258, GnomADFrequent in Asian Indian, UAE, and East Asian populations1 (0.21)YESYESRDB/Sanger[2]
-50(G>A)HBB:c.-100G>AUncertain-Significance2/140260, GnomADChinese1 (0.21)NOYESSanger[24]
-86 (C>G)HBB:c.-136C>GPathogenic0/78698, GnomAD

Lebanese,

Thai 0.24%

1 (0.21)NOYESSanger[25]
IVS-II-5(G>C)HBB:c.315+5G>CPathogenic1/140204, GnomADChinese 0.15%10 (2.06)NOYESSanger[26]
CD126 (GTG>GGG)HBB:c.380T>GPathogenic1/140228, GnomAD

German

Italian

Thai

1 (0.21)NOYESSanger[27]
-31(A>C)HBB:c.-81A>CPathogenic1/264690, TOPMED

Italian

Chinese

1 (0.21)NOYESSanger[22]
CD30 (A>G)HBB:c.91A>GLikely-PathogenicNoneSephardic Jewish5 (1.03)NOYESSanger[28]
CD56 (GGC>GAC)HBB:c.170G>ALikely-Benign5/251448, GnomAD_exomeFound in Thai, Indonesian, Black, and Chinese families5 (1.03)NOYESSanger[29]
CD 64 (GGC>AGC)HBB:c.193G>ALikely-BenignNoneChinese1 (0.21)NOYESSanger[30]
CD77 (CAC>TAC)HBB:c.232C>TLikely-Benign1/251428, GnomAD_exom

Caucasian

Indonesian

Japanese

Swedish

1 (0.21)NOYESSanger[31]
-198A>GHBB:c.-248A>GUncertain-SignificanceNoneThis study3 (0.62)NOYESSangerThis study
CD113(GTG>GAG)HBB:c.341T>APathogenic2/140270, GnomAD

American

Chinese

14 (2.89)NOYESSanger[32]
CD143(CAC>CGC)HBB:c.431A>GLikely-Pathogenic1/251362, GnomAD_exome

American

Italian

1 (0.21)NOYESSanger[33]
IVS- II-806 (G>C)HBB:c.316-45G>CBenign-Likely-Benign34/140174, GnomADChinese3 (0.62)NOYESSangerThis study
IVS- II-672 (A>C)HBB:c.316-179A>CBenign-Likely-BenignNoneChinese1 (0.21)NOYESSangerThis study
IVS -II-308 (-A)HBB:c.315+308delABenign-Likely-BenignNoneChinese1 (0.21)NOYESSangerThis study
Total485 (100)

Gap-PCR Gap- polymerase chain reaction, MLPA multiple ligation probe amplification technology, RDB reverse dot blot.

aData come from HbVar (https://globin.bx.psu.edu/hbvar/hbvar.html), genomAD (https://gnomad.broadinstitute.org/) and dbSNP (https://www.ncbi.nlm.nih.gov/snp/).

Thalassemia variants identified by SMRT and conventional technology Chinese East Asian Indian Arabian Cambodian Chinese Greek Indian Indonesian Laotian Malasian Sicilian Vietnamese Chinese Laotian Chinese Pakistani Chinese Indian Saudi Arabian Chinese 41.84% English 4.35% Indonesian 1.69% Japanese 5.99% Korean 4.17% Malaysian 26.32% Pakistani 6.7% Punjabi 13.22% Singapore 37.59% Taiwanese 30.63% Thai 37.24% Chinese 14.1% Indonesian 1.69% Japanese 0.32% Korean 16.67% Malaysian 5.26% Singapore 9.02% Taiwanese 8.13% Thai 18.56% Chinese 12.31% Japanese 0.32% Malaysian 6.43% Taiwanese 9.38% Thai 6.83% Chinese East Asian Chinese 21.37% Indonesian 11.86% Japanese 11.99% Malaysian 10.53% Russian 1.52% Singapore 25.56% Taiwanese 46.25% Thai 5.13% Chinese Thai 0.12% Algerian 3.8% Black 59.38% Chinese 2.37% Malaysian 0.58% Taiwanese 0.63% Chinese 0.59% Singapore 0.75% Taiwanese 2.5% Thai 0.24% Lebanese, Thai 0.24% German Italian Thai Italian Chinese Caucasian Indonesian Japanese Swedish American Chinese American Italian Gap-PCR Gap- polymerase chain reaction, MLPA multiple ligation probe amplification technology, RDB reverse dot blot. aData come from HbVar (https://globin.bx.psu.edu/hbvar/hbvar.html), genomAD (https://gnomad.broadinstitute.org/) and dbSNP (https://www.ncbi.nlm.nih.gov/snp/).
  1 in total

1.  Clinical Performance Study of a New Fully Automated Red Blood Cell Permeability Fragility Analyzer.

Authors:  Shiwen Zheng; Qiuyan Li; Tong Ou; Yuqing Li; Song Wu
Journal:  J Healthc Eng       Date:  2022-03-29       Impact factor: 2.682

  1 in total

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