rs45547937

Variant summary

Our verdict is Likely benign.
-4 Likely Benign
-7
-6
-1
0
+5
+6
+9
+10
B
LB
VUS
LP
P
The variant received -4 classification points (ACGS-UK Somatic Oncogenicity v2025). B1_Strong

The NR_171007.1(MIR1-1HG):n.788-179G>A variant causes a intron change involving the alteration of a non-conserved nucleotide. Note: NR_171007.1 is not a MANE Select or MANE Plus Clinical transcript for MIR1-1HG; the reported annotation may differ from that of the MANE-designated reference transcript for this gene. The variant allele was found at a cumulative frequency of 0.232 (AC=84,166) in the gnomAD database across 363,416 control chromosomes, including 10,295 homozygotes. The grpmax filtering allele frequency (95% CI) is 0.337. In-silico predictor (BayesDel (noAF)) classifies this variant as likely benign. No clinical diagnostic laboratories have submitted clinical-significance assessments for this variant to ClinVar.

Frequency

Genomes: 𝑓 0.25 ( 5181 hom., cov: 35)
Exomes 𝑓: 0.21 ( 5114 hom. )

Consequence

MIR1-1HG
NR_171007.1 intron

Scores

3

Clinical Significance

Not reported in ClinVar

Conservation

PhyloP100: -0.809

Publications

5 publications found
Variant links:
Genes affected
MIR1-1HG (HGNC:16159): (MIR1-1 host gene)
MIR133A2 (HGNC:31518): (microRNA 133a-2) microRNAs (miRNAs) are short (20-24 nt) non-coding RNAs that are involved in post-transcriptional regulation of gene expression in multicellular organisms by affecting both the stability and translation of mRNAs. miRNAs are transcribed by RNA polymerase II as part of capped and polyadenylated primary transcripts (pri-miRNAs) that can be either protein-coding or non-coding. The primary transcript is cleaved by the Drosha ribonuclease III enzyme to produce an approximately 70-nt stem-loop precursor miRNA (pre-miRNA), which is further cleaved by the cytoplasmic Dicer ribonuclease to generate the mature miRNA and antisense miRNA star (miRNA*) products. The mature miRNA is incorporated into a RNA-induced silencing complex (RISC), which recognizes target mRNAs through imperfect base pairing with the miRNA and most commonly results in translational inhibition or destabilization of the target mRNA. The RefSeq represents the predicted microRNA stem-loop. [provided by RefSeq, Sep 2009]

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new If you want to explore the variant's impact on the transcript NR_171007.1, check out the Mutation Effect Viewer. This is especially useful for frameshift variants or if you want to visualize the effect of exon loss / intron retention.

Classification according to ACGS-UK Somatic Oncogenicity v2025

Classification was made for transcript

Our verdict: Likely_benign. The variant received -4 points.

B1
GnomAD effective popmax AF >1% — B1 stand-alone benign; GnomAD effective popmax AF = 0.337 — exceeds 1% threshold (B1 applied)

Variant Effect in Transcripts

Automated classification analysis was done for transcript: NR_171007.1. You can select a different transcript below to see updated classification assignments.

RefSeq Transcripts

Sel.
GeneTranscriptTagsHGVScHGVSpEffectExon RankProteinUniProt
MIR1-1HG
NR_171007.1
n.788-179G>A
intron
N/A
MIR133A2
NR_029676.1
n.-102G>A
upstream_gene
N/A

Ensembl Transcripts

Sel.
GeneTranscriptTagsHGVScHGVSpEffectExon RankProteinUniProt
MIR1-1HG
ENST00000624914.4
TSL:1
n.794-179G>A
intron
N/A
MIR1-1HG
ENST00000370523.4
TSL:5
n.244-5634G>A
intron
N/A
MIR1-1HG
ENST00000686477.2
n.793-5634G>A
intron
N/A

Frequencies

GnomAD3 genomes
AF:
0.255
AC:
38734
AN:
152046
Hom.:
5180
Cov.:
35
show subpopulations
Gnomad AFR
AF:
0.342
Gnomad AMI
AF:
0.137
Gnomad AMR
AF:
0.257
Gnomad ASJ
AF:
0.181
Gnomad EAS
AF:
0.169
Gnomad SAS
AF:
0.178
Gnomad FIN
AF:
0.187
Gnomad MID
AF:
0.258
Gnomad NFE
AF:
0.229
Gnomad OTH
AF:
0.246
GnomAD4 exome
AF:
0.215
AC:
45409
AN:
211252
Hom.:
5114
AF XY:
0.211
AC XY:
24335
AN XY:
115092
show subpopulations
African (AFR)
AF:
0.343
AC:
1727
AN:
5034
American (AMR)
AF:
0.239
AC:
2419
AN:
10112
Ashkenazi Jewish (ASJ)
AF:
0.170
AC:
756
AN:
4444
East Asian (EAS)
AF:
0.173
AC:
1272
AN:
7370
South Asian (SAS)
AF:
0.184
AC:
7855
AN:
42784
European-Finnish (FIN)
AF:
0.188
AC:
4476
AN:
23776
Middle Eastern (MID)
AF:
0.240
AC:
155
AN:
646
European-Non Finnish (NFE)
AF:
0.229
AC:
24716
AN:
107720
Other (OTH)
AF:
0.217
AC:
2033
AN:
9366
Allele Balance Distribution
Red line indicates average allele balance
Average allele balance: 0.487
Heterozygous variant carriers
0
1587
3175
4762
6350
7937
0.00
0.20
0.40
0.60
0.80
0.95
Allele balance

Age Distribution

Exome Het
Exome Hom
Variant carriers
0
200
400
600
800
1000
<30
30-35
35-40
40-45
45-50
50-55
55-60
60-65
65-70
70-75
75-80
>80
Age
GnomAD4 genome
AF:
0.255
AC:
38757
AN:
152164
Hom.:
5181
Cov.:
35
AF XY:
0.253
AC XY:
18823
AN XY:
74408
show subpopulations
African (AFR)
AF:
0.341
AC:
14173
AN:
41510
American (AMR)
AF:
0.258
AC:
3939
AN:
15290
Ashkenazi Jewish (ASJ)
AF:
0.181
AC:
628
AN:
3472
East Asian (EAS)
AF:
0.169
AC:
875
AN:
5178
South Asian (SAS)
AF:
0.177
AC:
855
AN:
4832
European-Finnish (FIN)
AF:
0.187
AC:
1977
AN:
10592
Middle Eastern (MID)
AF:
0.253
AC:
74
AN:
292
European-Non Finnish (NFE)
AF:
0.229
AC:
15595
AN:
67980
Other (OTH)
AF:
0.245
AC:
517
AN:
2112
Allele Balance Distribution
Red line indicates average allele balance
Average allele balance: 0.502
Heterozygous variant carriers
0
1501
3002
4504
6005
7506
0.00
0.20
0.40
0.60
0.80
0.95
Allele balance

Age Distribution

Genome Het
Genome Hom
Variant carriers
0
404
808
1212
1616
2020
<30
30-35
35-40
40-45
45-50
50-55
55-60
60-65
65-70
70-75
75-80
>80
Age
Alfa
AF:
0.242
Hom.:
554
Bravo
AF:
0.263
Asia WGS
AF:
0.139
AC:
484
AN:
3476

Local populations

ToMMo 61KJPN (+60KJPN MNV)
AF:
0.111
AC:
13600
AN:
122600
Turkish Variome
AF:
0.206
AC:
318
AN:
1546
Hom.:
30
WBBC (Westlake BioBank for Chinese) pilot
AF:
0.183
AC:
1638
AN:
8960
Hom.:
154
ABraOM SABE-WGS-1171
AF:
0.266
AC:
622
AN:
2342
Hom.:
93

ClinVar

Not reported in ClinVar

Computational scores

Source: dbNSFP v4.9

Name
Calibrated prediction
Score
Prediction
BayesDel_noAF
Benign
-0.97
CADD
Benign
9.3
DANN
Benign
0.75
PhyloP100
-0.81
Mutation Taster
=100/0
polymorphism (auto)

Splicing

Find out detailed SpliceAI scores and Pangolin per-transcript scores at spliceailookup.broadinstitute.org

MaxEntScan Visualizer can be used to analyze the impact of this mutation on the neighboring sequence.

Publications

Other links and lift over

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