dbSNP Short Genetic Variations
Welcome to the Reference SNP (rs) Report
All alleles are reported in the Forward orientation. Click on the Variant Details tab for details on Genomic Placement, Gene, and Amino Acid changes. HGVS names are in the HGVS tab.
Reference SNP (rs) Report
This page reports data for a single dbSNP Reference SNP variation (RefSNP or rs) from the new redesigned dbSNP build.
Top of the page reports a concise summary for the rs, with more specific details included in the corresponding tabs below.
All alleles are reported in the Forward orientation. Use the Genomic View to inspect the nucleotides flanking the variant, and its neighbors.
For more information see Help documentation.
rs28416813
Current Build 156
Released September 21, 2022
- Organism
- Homo sapiens
- Position
-
chr19:39245004 (GRCh38.p14) Help
The anchor position for this RefSNP. Includes all nucleotides potentially affected by this change, thus it can differ from HGVS, which is right-shifted. See here for details.
- Alleles
- C>G
- Variation Type
- SNV Single Nucleotide Variation
- Frequency
-
G=0.404670 (107112/264690, TOPMED)G=0.312673 (77750/248662, GnomAD_exome)G=0.394802 (54943/139166, GnomAD) (+ 14 more)
- Clinical Significance
- Not Reported in ClinVar
- Gene : Consequence
- IFNL3 : Intron Variant
- Publications
- 16 citations
- Genomic View
- See rs on genome
ALFA Allele Frequency
The ALFA project provide aggregate allele frequency from dbGaP. More information is available on the project page including descriptions, data access, and terms of use.
Population | Group | Sample Size | Ref Allele | Alt Allele | Ref HMOZ | Alt HMOZ | HTRZ | HWEP |
---|---|---|---|---|---|---|---|---|
Total | Global | 27508 | C=0.63978 | G=0.36022 | 0.416533 | 0.136978 | 0.446488 | 8 |
European | Sub | 20214 | C=0.67171 | G=0.32829 | 0.450678 | 0.107252 | 0.44207 | 0 |
African | Sub | 3492 | C=0.4336 | G=0.5664 | 0.190722 | 0.323597 | 0.485682 | 0 |
African Others | Sub | 122 | C=0.328 | G=0.672 | 0.163934 | 0.508197 | 0.327869 | 3 |
African American | Sub | 3370 | C=0.4374 | G=0.5626 | 0.191691 | 0.316914 | 0.491395 | 0 |
Asian | Sub | 168 | C=0.935 | G=0.065 | 0.869048 | 0.0 | 0.130952 | 0 |
East Asian | Sub | 112 | C=0.929 | G=0.071 | 0.857143 | 0.0 | 0.142857 | 0 |
Other Asian | Sub | 56 | C=0.95 | G=0.05 | 0.892857 | 0.0 | 0.107143 | 0 |
Latin American 1 | Sub | 146 | C=0.671 | G=0.329 | 0.452055 | 0.109589 | 0.438356 | 0 |
Latin American 2 | Sub | 610 | C=0.631 | G=0.369 | 0.409836 | 0.147541 | 0.442623 | 0 |
South Asian | Sub | 98 | C=0.69 | G=0.31 | 0.428571 | 0.040816 | 0.530612 | 2 |
Other | Sub | 2780 | C=0.6471 | G=0.3529 | 0.423741 | 0.129496 | 0.446763 | 0 |
Frequency tab displays a table of the reference and alternate allele frequencies reported by various studies and populations. Table lines, where Population="Global" refer to the entire study population, whereas lines, where Group="Sub", refer to a study-specific population subgroupings (i.e. AFR, CAU, etc.), if available. Frequency for the alternate allele (Alt Allele) is a ratio of samples observed-to-total, where the numerator (observed samples) is the number of chromosomes in the study with the minor allele present (found in "Sample size", where Group="Sub"), and the denominator (total samples) is the total number of all chromosomes in the study for the variant (found in "Sample size", where Group="Study-wide" and Population="Global").
DownloadStudy | Population | Group | Sample Size | Ref Allele | Alt Allele |
---|---|---|---|---|---|
TopMed | Global | Study-wide | 264690 | C=0.595330 | G=0.404670 |
gnomAD - Exomes | Global | Study-wide | 248662 | C=0.687327 | G=0.312673 |
gnomAD - Exomes | European | Sub | 133978 | C=0.697734 | G=0.302266 |
gnomAD - Exomes | Asian | Sub | 48808 | C=0.83804 | G=0.16196 |
gnomAD - Exomes | American | Sub | 34236 | C=0.58628 | G=0.41372 |
gnomAD - Exomes | African | Sub | 15600 | C=0.39019 | G=0.60981 |
gnomAD - Exomes | Ashkenazi Jewish | Sub | 9970 | C=0.6299 | G=0.3701 |
gnomAD - Exomes | Other | Sub | 6070 | C=0.6736 | G=0.3264 |
gnomAD - Genomes | Global | Study-wide | 139166 | C=0.605198 | G=0.394802 |
gnomAD - Genomes | European | Sub | 75732 | C=0.69759 | G=0.30241 |
gnomAD - Genomes | African | Sub | 41264 | C=0.39911 | G=0.60089 |
gnomAD - Genomes | American | Sub | 13588 | C=0.63070 | G=0.36930 |
gnomAD - Genomes | Ashkenazi Jewish | Sub | 3320 | C=0.6202 | G=0.3798 |
gnomAD - Genomes | East Asian | Sub | 3126 | C=0.9344 | G=0.0656 |
gnomAD - Genomes | Other | Sub | 2136 | C=0.6433 | G=0.3567 |
ExAC | Global | Study-wide | 120682 | C=0.682977 | G=0.317023 |
ExAC | Europe | Sub | 73050 | C=0.68862 | G=0.31138 |
ExAC | Asian | Sub | 25142 | C=0.83044 | G=0.16956 |
ExAC | American | Sub | 11426 | C=0.57798 | G=0.42202 |
ExAC | African | Sub | 10158 | C=0.39398 | G=0.60602 |
ExAC | Other | Sub | 906 | C=0.700 | G=0.300 |
14KJPN | JAPANESE | Study-wide | 28258 | C=0.89596 | G=0.10404 |
Allele Frequency Aggregator | Total | Global | 27508 | C=0.63978 | G=0.36022 |
Allele Frequency Aggregator | European | Sub | 20214 | C=0.67171 | G=0.32829 |
Allele Frequency Aggregator | African | Sub | 3492 | C=0.4336 | G=0.5664 |
Allele Frequency Aggregator | Other | Sub | 2780 | C=0.6471 | G=0.3529 |
Allele Frequency Aggregator | Latin American 2 | Sub | 610 | C=0.631 | G=0.369 |
Allele Frequency Aggregator | Asian | Sub | 168 | C=0.935 | G=0.065 |
Allele Frequency Aggregator | Latin American 1 | Sub | 146 | C=0.671 | G=0.329 |
Allele Frequency Aggregator | South Asian | Sub | 98 | C=0.69 | G=0.31 |
8.3KJPN | JAPANESE | Study-wide | 16760 | C=0.89481 | G=0.10519 |
GO Exome Sequencing Project | Global | Study-wide | 13004 | C=0.62481 | G=0.37519 |
GO Exome Sequencing Project | European American | Sub | 8598 | C=0.7190 | G=0.2810 |
GO Exome Sequencing Project | African American | Sub | 4406 | C=0.4410 | G=0.5590 |
1000Genomes_30x | Global | Study-wide | 6404 | C=0.6304 | G=0.3696 |
1000Genomes_30x | African | Sub | 1786 | C=0.3214 | G=0.6786 |
1000Genomes_30x | Europe | Sub | 1266 | C=0.6943 | G=0.3057 |
1000Genomes_30x | South Asian | Sub | 1202 | C=0.7712 | G=0.2288 |
1000Genomes_30x | East Asian | Sub | 1170 | C=0.9239 | G=0.0761 |
1000Genomes_30x | American | Sub | 980 | C=0.588 | G=0.412 |
1000Genomes | Global | Study-wide | 5008 | C=0.6472 | G=0.3528 |
1000Genomes | African | Sub | 1322 | C=0.3366 | G=0.6634 |
1000Genomes | East Asian | Sub | 1008 | C=0.9177 | G=0.0823 |
1000Genomes | Europe | Sub | 1006 | C=0.6889 | G=0.3111 |
1000Genomes | South Asian | Sub | 978 | C=0.778 | G=0.222 |
1000Genomes | American | Sub | 694 | C=0.601 | G=0.399 |
KOREAN population from KRGDB | KOREAN | Study-wide | 2930 | C=0.9416 | G=0.0584 |
Genome of the Netherlands Release 5 | Genome of the Netherlands | Study-wide | 998 | C=0.682 | G=0.318 |
CNV burdens in cranial meningiomas | Global | Study-wide | 788 | C=0.944 | G=0.056 |
CNV burdens in cranial meningiomas | CRM | Sub | 788 | C=0.944 | G=0.056 |
Northern Sweden | ACPOP | Study-wide | 600 | C=0.747 | G=0.253 |
Medical Genome Project healthy controls from Spanish population | Spanish controls | Study-wide | 534 | C=0.805 | G=0.195 |
SGDP_PRJ | Global | Study-wide | 268 | C=0.366 | G=0.634 |
Qatari | Global | Study-wide | 216 | C=0.713 | G=0.287 |
Variant Details tab shows known variant placements on genomic sequences: chromosomes (NC_), RefSeqGene, pseudogenes or genomic regions (NG_), and in a separate table: on transcripts (NM_) and protein sequences (NP_). The corresponding transcript and protein locations are listed in adjacent lines, along with molecular consequences from Sequence Ontology. When no protein placement is available, only the transcript is listed. Column "Codon[Amino acid]" shows the actual base change in the format of "Reference > Alternate" allele, including the nucleotide codon change in transcripts, and the amino acid change in proteins, respectively, allowing for known ribosomal slippage sites. To view nucleotides adjacent to the variant use the Genomic View at the bottom of the page - zoom into the sequence until the nucleotides around the variant become visible.
Sequence name | Change |
---|---|
GRCh38.p14 chr 19 | NC_000019.10:g.39245004C>G |
GRCh37.p13 chr 19 | NC_000019.9:g.39735644C>G |
IFNL4 RefSeqGene | NG_055295.1:g.8853G>C |
IFNL3 RefSeqGene (LRG_1011) | NG_042193.1:g.4968G>C |
GRCh38.p14 chr 19 fix patch HG2569_PATCH | NW_025791808.1:g.25387C>G |
Molecule type | Change | Amino acid[Codon] | SO Term |
---|---|---|---|
IFNL3 transcript variant 1 | NM_001346937.2:c.11-35G>C | N/A | Intron Variant |
IFNL3 transcript variant 2 | NM_172139.4:c.-37= | N/A | 5 Prime UTR Variant |
Clinical Significance tab shows a list of clinical significance entries from ClinVar associated with the variation, per allele. Click on the RCV accession (i.e. RCV000001615.2) or Allele ID (i.e. 12274) to access full ClinVar report.
Aliases tab displays HGVS names representing the variant placements and allele changes on genomic, transcript and protein sequences, per allele. HGVS name is an expression for reporting sequence accession and version, sequence type, position, and allele change. The column "Note" can have two values: "diff" means that there is a difference between the reference allele (variation interval) at the placement reported in HGVS name and the reference alleles reported in other HGVS names, and "rev" means that the sequence of this variation interval at the placement reported in HGVS name is in reverse orientation to the sequence(s) of this variation in other HGVS names not labeled as "rev".
Placement | C= | G |
---|---|---|
GRCh38.p14 chr 19 | NC_000019.10:g.39245004= | NC_000019.10:g.39245004C>G |
GRCh37.p13 chr 19 | NC_000019.9:g.39735644= | NC_000019.9:g.39735644C>G |
IFNL4 RefSeqGene | NG_055295.1:g.8853= | NG_055295.1:g.8853G>C |
IFNL3 RefSeqGene (LRG_1011) | NG_042193.1:g.4968= | NG_042193.1:g.4968G>C |
IFNL3 transcript variant 2 | NM_172139.4:c.-37= | NM_172139.4:c.-37G>C |
IFNL3 transcript variant 2 | NM_172139.3:c.-37= | NM_172139.3:c.-37G>C |
GRCh38.p14 chr 19 fix patch HG2569_PATCH | NW_025791808.1:g.25387= | NW_025791808.1:g.25387C>G |
IFNL3 transcript variant 1 | NM_001346937.2:c.11-35= | NM_001346937.2:c.11-35G>C |
IFNL3 transcript variant X1 | XM_005258765.1:c.11-35= | XM_005258765.1:c.11-35G>C |
Submissions tab displays variations originally submitted to dbSNP, now supporting this RefSNP cluster (rs). We display Submitter handle, Submission identifier, Date and Build number, when the submission appeared for the first time. Direct submissions to dbSNP have Submission ID in the form of an ss-prefixed number (ss#). Other supporting variations are listed in the table without ss#.
No | Submitter | Submission ID | Date (Build) |
---|---|---|---|
1 | SC_JCM | ss3607898 | Dec 03, 2013 (138) |
2 | WI_SSAHASNP | ss6629693 | Sep 28, 2016 (149) |
3 | WI_SSAHASNP | ss12454920 | Apr 01, 2015 (144) |
4 | SSAHASNP | ss35151364 | May 24, 2005 (125) |
5 | HUMANGENOME_JCVI | ss96306168 | Feb 06, 2009 (130) |
6 | ENSEMBL | ss139730465 | Dec 01, 2009 (131) |
7 | BCM-HGSC-SUB | ss208505809 | Jul 04, 2010 (132) |
8 | GMI | ss283208436 | May 04, 2012 (137) |
9 | 1000GENOMES | ss340458708 | May 09, 2011 (134) |
10 | 1000GENOMES | ss491158588 | May 04, 2012 (137) |
11 | GSK-GENETICS | ss491256289 | May 04, 2012 (137) |
12 | SSMP | ss661845334 | Apr 25, 2013 (138) |
13 | NHLBI-ESP | ss713509835 | Apr 25, 2013 (138) |
14 | EVA-GONL | ss994296006 | Aug 21, 2014 (142) |
15 | 1000GENOMES | ss1363150330 | Aug 21, 2014 (142) |
16 | DDI | ss1428402817 | Apr 01, 2015 (144) |
17 | EVA_EXAC | ss1693589542 | Apr 01, 2015 (144) |
18 | EVA_MGP | ss1711512533 | Apr 01, 2015 (144) |
19 | HAMMER_LAB | ss1809306048 | Sep 08, 2015 (146) |
20 | WEILL_CORNELL_DGM | ss1937789839 | Feb 12, 2016 (147) |
21 | ILLUMINA | ss1959863214 | Feb 12, 2016 (147) |
22 | GRF | ss2702824659 | Nov 08, 2017 (151) |
23 | GNOMAD | ss2743976049 | Nov 08, 2017 (151) |
24 | GNOMAD | ss2750181941 | Nov 08, 2017 (151) |
25 | GNOMAD | ss2962823858 | Nov 08, 2017 (151) |
26 | SWEGEN | ss3017465647 | Nov 08, 2017 (151) |
27 | ILLUMINA | ss3021904976 | Nov 08, 2017 (151) |
28 | CSHL | ss3352301416 | Nov 08, 2017 (151) |
29 | OMUKHERJEE_ADBS | ss3646536328 | Oct 12, 2018 (152) |
30 | URBANLAB | ss3650917412 | Oct 12, 2018 (152) |
31 | ILLUMINA | ss3652330910 | Oct 12, 2018 (152) |
32 | ILLUMINA | ss3725728308 | Jul 13, 2019 (153) |
33 | ACPOP | ss3743035963 | Jul 13, 2019 (153) |
34 | EVA | ss3756060592 | Jul 13, 2019 (153) |
35 | KHV_HUMAN_GENOMES | ss3821308630 | Jul 13, 2019 (153) |
36 | EVA | ss3825285712 | Apr 27, 2020 (154) |
37 | EVA | ss3841352625 | Apr 27, 2020 (154) |
38 | EVA | ss3846858469 | Apr 27, 2020 (154) |
39 | SGDP_PRJ | ss3888208999 | Apr 27, 2020 (154) |
40 | KRGDB | ss3938319779 | Apr 27, 2020 (154) |
41 | FSA-LAB | ss3984153807 | Apr 27, 2021 (155) |
42 | EVA | ss3984742009 | Apr 27, 2021 (155) |
43 | EVA | ss3986796471 | Apr 27, 2021 (155) |
44 | TOPMED | ss5074710663 | Apr 27, 2021 (155) |
45 | TOMMO_GENOMICS | ss5227741348 | Apr 27, 2021 (155) |
46 | EVA | ss5237247231 | Apr 27, 2021 (155) |
47 | 1000G_HIGH_COVERAGE | ss5307234753 | Oct 16, 2022 (156) |
48 | 1000G_HIGH_COVERAGE | ss5612959386 | Oct 16, 2022 (156) |
49 | EVA | ss5624090115 | Oct 16, 2022 (156) |
50 | SANFORD_IMAGENETICS | ss5662384805 | Oct 16, 2022 (156) |
51 | TOMMO_GENOMICS | ss5786368890 | Oct 16, 2022 (156) |
52 | EVA | ss5800222771 | Oct 16, 2022 (156) |
53 | YY_MCH | ss5817598762 | Oct 16, 2022 (156) |
54 | EVA | ss5840544558 | Oct 16, 2022 (156) |
55 | EVA | ss5848492239 | Oct 16, 2022 (156) |
56 | EVA | ss5928090403 | Oct 16, 2022 (156) |
57 | EVA | ss5936573837 | Oct 16, 2022 (156) |
58 | EVA | ss5953799559 | Oct 16, 2022 (156) |
59 | EVA | ss5979546198 | Oct 16, 2022 (156) |
60 | 1000Genomes | NC_000019.9 - 39735644 | Oct 12, 2018 (152) |
61 | 1000Genomes_30x | NC_000019.10 - 39245004 | Oct 16, 2022 (156) |
62 | ExAC | NC_000019.9 - 39735644 | Oct 12, 2018 (152) |
63 | gnomAD - Genomes | NC_000019.10 - 39245004 | Apr 27, 2021 (155) |
64 | gnomAD - Exomes | NC_000019.9 - 39735644 | Jul 13, 2019 (153) |
65 | GO Exome Sequencing Project | NC_000019.9 - 39735644 | Oct 12, 2018 (152) |
66 | Genome of the Netherlands Release 5 | NC_000019.9 - 39735644 | Apr 27, 2020 (154) |
67 | KOREAN population from KRGDB | NC_000019.9 - 39735644 | Apr 27, 2020 (154) |
68 | Medical Genome Project healthy controls from Spanish population | NC_000019.9 - 39735644 | Apr 27, 2020 (154) |
69 | Northern Sweden | NC_000019.9 - 39735644 | Jul 13, 2019 (153) |
70 | CNV burdens in cranial meningiomas | NC_000019.9 - 39735644 | Apr 27, 2021 (155) |
71 | Qatari | NC_000019.9 - 39735644 | Apr 27, 2020 (154) |
72 | SGDP_PRJ | NC_000019.9 - 39735644 | Apr 27, 2020 (154) |
73 | 8.3KJPN | NC_000019.9 - 39735644 | Apr 27, 2021 (155) |
74 | 14KJPN | NC_000019.10 - 39245004 | Oct 16, 2022 (156) |
75 | TopMed | NC_000019.10 - 39245004 | Apr 27, 2021 (155) |
76 | ALFA | NC_000019.10 - 39245004 | Apr 27, 2021 (155) |
History tab displays RefSNPs (Associated ID) from previous builds (Build) that now support the current RefSNP, and the dates, when the history was updated for each Associated ID (History Updated).
Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
---|---|---|---|
ss35151364, ss208505809, ss283208436, ss491256289 | NC_000019.8:44427483:C:G | NC_000019.10:39245003:C:G | (self) |
76557189, 4093438, 13290395, 1742675, 18889811, 45497173, 628293, 16320828, 291564, 19831761, 40225979, 85710655, ss340458708, ss491158588, ss661845334, ss713509835, ss994296006, ss1363150330, ss1428402817, ss1693589542, ss1711512533, ss1809306048, ss1937789839, ss1959863214, ss2702824659, ss2743976049, ss2750181941, ss2962823858, ss3017465647, ss3021904976, ss3352301416, ss3646536328, ss3652330910, ss3743035963, ss3756060592, ss3825285712, ss3841352625, ss3888208999, ss3938319779, ss3984153807, ss3984742009, ss3986796471, ss5227741348, ss5624090115, ss5662384805, ss5800222771, ss5840544558, ss5848492239, ss5936573837, ss5953799559, ss5979546198 | NC_000019.9:39735643:C:G | NC_000019.10:39245003:C:G | (self) |
100485321, 539946185, 120205994, 290256327, 5785158777, ss3650917412, ss3725728308, ss3821308630, ss3846858469, ss5074710663, ss5237247231, ss5307234753, ss5612959386, ss5786368890, ss5817598762, ss5928090403 | NC_000019.10:39245003:C:G | NC_000019.10:39245003:C:G | (self) |
ss12454920 | NT_011109.15:12003861:C:G | NC_000019.10:39245003:C:G | (self) |
ss3607898, ss6629693, ss96306168, ss139730465 | NT_011109.16:12003861:C:G | NC_000019.10:39245003:C:G | (self) |
Publications tab displays PubMed articles citing the variation as a listing of PMID, Title, Author, Year, Journal, ordered by Year, descending.
PMID | Title | Author | Year | Journal |
---|---|---|---|---|
19749757 | Genome-wide association of IL28B with response to pegylated interferon-alpha and ribavirin therapy for chronic hepatitis C. | Tanaka Y et al. | 2009 | Nature genetics |
20950615 | IL28B and the control of hepatitis C virus infection. | Balagopal A et al. | 2010 | Gastroenterology |
21303914 | Interferon lambdas: the next cytokine storm. | Kelly C et al. | 2011 | Gut |
21346780 | IL28B genetic variations are associated with high sustained virological response (SVR) of interferon-α plus ribavirin therapy in Taiwanese chronic HCV infection. | Chen JY et al. | 2011 | Genes and immunity |
21360716 | Estimating the net contribution of interleukin-28B variation to spontaneous hepatitis C virus clearance. | di Iulio J et al. | 2011 | Hepatology (Baltimore, Md.) |
21479134 | IL28B SNP rs12979860 is a critical predictor for on-treatment and sustained virologic response in patients with hepatitis C virus genotype-1 infection. | Lin CY et al. | 2011 | PloS one |
21694902 | New strategies for the treatment of hepatitis C virus infection and implications of resistance to new direct-acting antiviral agents. | Quer J et al. | 2010 | Infection and drug resistance |
21820962 | Interferon-lambda and therapy for chronic hepatitis C virus infection. | Donnelly RP et al. | 2011 | Trends in immunology |
22046316 | Genetic variation of the IL-28B promoter affecting gene expression. | Sugiyama M et al. | 2011 | PloS one |
22162829 | Evolutionary genetic dissection of human interferons. | Manry J et al. | 2011 | The Journal of experimental medicine |
22214245 | Genomics and proteomics in liver fibrosis and cirrhosis. | Hannivoort RA et al. | 2012 | Fibrogenesis & tissue repair |
22253847 | Sequence analysis of the IL28A/IL28B inverted gene duplication that contains polymorphisms associated with treatment response in hepatitis C patients. | Reynolds JM et al. | 2012 | PloS one |
22295096 | Genetic variations in IL28B and allergic disease in children. | Gaudieri S et al. | 2012 | PloS one |
22328925 | Deciphering the interleukin 28B variants that better predict response to pegylated interferon-α and ribavirin therapy in HCV/HIV-1 coinfected patients. | de Castellarnau M et al. | 2012 | PloS one |
29705128 | Identifying causal variants at the interferon lambda locus in case-control studies: Utilizing non-synonymous variant rs117648444 to probe the role of IFN-λ4. | Bhushan A et al. | 2018 | Gene |
33725487 | Functional genetic variants of the IFN-λ3 (IL28B) gene and transcription factor interactions on its promoter. | Roy S et al. | 2021 | Cytokine |
The Flanks tab provides retrieving flanking sequences of a SNP on all molecules that have placements.
Genomic regions, transcripts, and products
Top▲
Help
NCBI Graphical Sequence Viewer display of the genomic region, transcripts and protein products for the reported RefSNP (rs).
Use the zoom option to view the nucleotides around the RefSNP and find other neighboring RefSNPs.
Visit Sequence Viewer for help with navigating inside the display and modifying the selection of displayed data tracks.
NCBI Graphical Sequence Viewer display of the genomic region, transcripts and protein products for the reported RefSNP (rs).
Use the zoom option to view the nucleotides around the RefSNP and find other neighboring RefSNPs.
Visit Sequence Viewer for help with navigating inside the display and modifying the selection of displayed data tracks.