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1 ulation-level SAVs, and all possible SAVs by single nucleotide variations.
2 firm segregation of filtered disease-causing single nucleotide variations.
3 imer or probe hybridization inaccuracies for single nucleotide variations.
4 k score (GRS), which is a weighted sum of 23 single-nucleotide variations.
5 discover high heterozygosity and millions of single-nucleotide variations.
6 ed more than 7 million genotyped and imputed single-nucleotide variations.
7                We produce 17% more benchmark single nucleotide variations, 176% more indels and 12% l
8   This curated benchmark reports over 17,000 single-nucleotide variations, 3,600 insertions and delet
9                                            A single nucleotide variation (AA to AG) in LSD1 gene appe
10 d the diversity and rates of copy number and single nucleotide variation across the hominid phylogeny
11 pyrosequencing for SP-D polymorphisms of two single-nucleotide variations altering amino acids in the
12  interpret large sets of genomic variations (single nucleotide variations and insertion/deletions) an
13 by a simultaneous analysis of both intrahost single nucleotide variations and recombination events.
14 orkflow is efficient and identifies rare DNA single nucleotide variations and structural changes such
15 ides high genomic coverage, high accuracy in single-nucleotide variation and small insertions and del
16 f tumours based on the relative frequency of single-nucleotide variations and copy number alterations
17                  Observed mutations included single-nucleotide variations and indels leading to frame
18 e generally structurally conserved, and that single-nucleotide variations and interactions with RNA b
19 tion, and the SCcaller software tool to call single-nucleotide variations and small insertions and de
20 S phase much more drastically than germ-line single-nucleotide variations and somatic large-scale str
21                                         Both single-nucleotide variations and the presence and struct
22 zed by a median of 24.5 exonic nonsynonymous single-nucleotide variations, and there was a consistent
23                                              Single-nucleotide variations are the most widely distrib
24 l million individuals have been genotyped on single nucleotide variation arrays, which could be used
25 om saliva- or blood-derived DNA using global single-nucleotide variations arrays.
26                Our objective was to identify single nucleotide variations associated with a risk of p
27    Percentage AGA was estimated using 21 431 single-nucleotide variations based on similarity with Af
28                                 In addition, single nucleotide variations between cDNAs and genomic s
29    A comparison of structural variations and single-nucleotide variations between the ancestors and c
30 ple experimental setup; and detects not only single nucleotide variations, but short insertions and d
31 r 18 nt away from the SNP, suggesting that a single-nucleotide variation can give rise to different m
32                                 Samples with single-nucleotide variations can be easily identified by
33 c and molecular differences of interest were single nucleotide variation, copy number alteration, DNA
34              By combining these methods, the single nucleotide variations either between two DNA pool
35 logical annotations such as protein domains, single nucleotide variations, etc.
36 at also included a large number (>45 000) of single-nucleotide variations (formerly single-nucleotide
37 l alpha subunit 5 (SCN5A) gene and 3 pivotal single-nucleotide variations (formerly single-nucleotide
38 eight individual genomes revealed that human single-nucleotide variation had significant effects on a
39  that affected skin fibroblasts carrying the single nucleotide variations have increased activation o
40 ractions, long noncoding RNA expression, and single nucleotide variation highlights a subset of speci
41 bust methods developed for detecting somatic single nucleotide variations However, detection of somat
42  previously validated PGS calculated from 10 single-nucleotide variations identified through genome-w
43 atterns of large SVs are similar to those of single nucleotide variations in 86% of the human genome,
44 ingle-tube assay to simultaneously detect 20 single nucleotide variations in a model system and 3 sin
45 plications such as evaluating the effects of single nucleotide variations in causing disease.
46  regulation and in evaluating the effects of single nucleotide variations in causing disease.
47                 Efficient global scanning of single nucleotide variations in DNA sequences between re
48  and bone, which is caused by somatic mosaic single nucleotide variations in the MAP2K1 gene, which e
49 aqMan assay failed to detect 47% of possible single nucleotide variations in the probe-binding site a
50                                              Single-nucleotide variations in C13orf31 (LACC1) that en
51 ensive information about gene expression and single-nucleotide variations in individual tumor cells,
52         Here, we assessed how ASD-associated single-nucleotide variations in PTEN (ASD-PTEN) affect f
53  acid sequence capture target sequences with single-nucleotide variations in the beta-globin gene rel
54                                         Five single-nucleotide variations in the TRPC5 gene were iden
55                         Fifty tumor-specific single-nucleotide variations, including KRAS(G12D), were
56        We find that the frequency of somatic single-nucleotide variations increases with replication
57 speed and accuracy across all variant types (single-nucleotide variations, insertions or deletions, s
58             Broader functional annotation of single nucleotide variations is a valuable mean for prio
59     The ratio of nonsynonymous to synonymous single-nucleotide variations is higher for cancer cells
60      Here, we show a total of 710 intra-host single nucleotide variations (iSNVs) from deep-sequenced
61  we investigated intrahost recombination and single nucleotide variations (iSNVs) on the severe acute
62 t intrahost non-homologous recombination and single nucleotide variations (iSNVs).
63 o different parasites differ between them by single nucleotide variations, known as "Single Nucleotid
64 n timing has a prominent role in shaping the single-nucleotide variation landscape of cancer cells.
65 uence the individual human genome and detect single nucleotide variations, microdeletions and duplica
66 e only having an intermediate non-synonymous single nucleotide variation mutational burden.
67 n a comprehensive analysis of non-synonymous single nucleotide variations (nsSNV) that lead to either
68 followed by identification of non-synonymous Single Nucleotide Variations (nsSNVs) and integrating th
69             Identification of non-synonymous single nucleotide variations (nsSNVs) has exponentially
70 nymous, splice site as well as stop-altering single-nucleotide variations occurring at minor allele f
71 infection and evolution in mice by comparing single nucleotide variations of a human H1N1 pandemic vi
72                                         This single-nucleotide variation of ARHGAP29 translates to an
73 ysicians to better understand the effects of single nucleotide variations on splicing.
74 elopment of methods to measure the impact of single-nucleotide variation on RNA structure.
75 d in reduction of both the hatching rate and single-nucleotide variations on pericentromeric heteroch
76 cessible across many individuals compared to single nucleotide variation or copy number variation.
77 ations, particularly global scanning of cDNA single nucleotide variations or polymorphisms, and final
78 , often suitable for the detection of either single-nucleotide variation or copy number aberration, b
79 In addition, a total of 28 validated somatic single-nucleotide variations or indels in coding genes,
80  BRN2 expression also correlates with a high single-nucleotide variation prevalence in human melanoma
81                                 Furthermore, single nucleotide variation profiles estimated using mOT
82 had rare (MAF < 0.001) predicted deleterious single-nucleotide variations (rdSNVs) in seven case subj
83            Current genotyping approaches for single-nucleotide variations rely on short, accurate rea
84                            More importantly, single nucleotide variations, short insertion and deleti
85 ic alterations at multiple scales, including single nucleotide variations, small insertions and delet
86                    Clustering based on human single nucleotide variation (SNV) analysis of two separa
87  from Oxford Nanopore Technologies to extend Single Nucleotide Variation (SNV)-based phasing.
88 mber alterations, loss of heterozygosity and single nucleotide variation (SNV).
89 n probes have been used for the detection of single nucleotide variations (SNV) in DNA and RNA sequen
90 d to carry a unique set of mutations such as single nucleotide variations (SNV).
91 ting 16S ribosomal RNA (rRNA) sequencing and single-nucleotide variation (SNV) and single-nucleotide
92 n with measures of genic constraint based on single-nucleotide variation (SNV) and was independently
93                       This provides reliable single-nucleotide variation (SNV) detection across the s
94 pectively identify patients with AA across 8 single-nucleotide variation (SNV) genotyping batches.
95 This 2-sample MR study used individual-level single-nucleotide variation (SNV) outcome data from moth
96 called SomaMutDB to catalog the 2.42 million single nucleotide variations (SNVs) and 0.12 million sma
97                                          Ten single nucleotide variations (SNVs) and 2 insertion/dele
98        Since the majority of disease-related single nucleotide variations (SNVs) are found in protein
99                                              Single nucleotide variations (SNVs) can result in loss o
100 hough both copy number variations (CNVs) and single nucleotide variations (SNVs) detected by single-c
101                        The number of somatic single nucleotide variations (SNVs) in AD brain specimen
102 ing programs have been developed to identify Single Nucleotide Variations (SNVs) in next-generation s
103 tion, 13 signature variations in the form of single nucleotide variations (SNVs) in protein coding re
104                                              Single nucleotide variations (SNVs) located within a rea
105                                 The missense single nucleotide variations (SNVs) rs142548867 in EEFSE
106 nstrate the haplotypes, i.e. the sequence of single nucleotide variations (SNVs) showing strong genet
107 oci, and all type of mutations, ranging from single nucleotide variations (SNVs) to large, complex co
108           Investigating mutations, including single nucleotide variations (SNVs), gene fusions, alter
109 HPV38(+) samples contained the same 10 novel single nucleotide variations (SNVs), leading us to hypot
110 cing and uniquely designed probes containing single nucleotide variations (SNVs), to offer a simple a
111                             We identify 3564 single-nucleotide variations (SNVs) across the transcrip
112                                        While single-nucleotide variations (SNVs) are commonly conside
113                                              Single-nucleotide variations (SNVs) are, however, much h
114                         However, identifying single-nucleotide variations (SNVs) can be accomplished
115 ce allelic binding predictions for 1,253,329 single-nucleotide variations (SNVs) in gnomAD that disru
116 of de novo copy number variations (CNVs) and single-nucleotide variations (SNVs) in ID, but the major
117                       We detected 200 to 400 single-nucleotide variations (SNVs) per cell.
118                                 Furthermore, single-nucleotide variations (SNVs) selected for RNA str
119                                              Single-nucleotide variations (SNVs) that alter RNA secon
120 , we identified multiple intronic and exonic single-nucleotide variations (SNVs), including one mutat
121  is an open resource for tracking SARS-CoV-2 single-nucleotide variations (SNVs), lineages, and clade
122    CMs demonstrated a high burden of somatic single-nucleotide variations (SNVs), with each case cont
123 d cells, we were able to identify individual single-nucleotide variations (SNVs), with no false posit
124 5%), low-frequency (5-0.5%) and rare (<0.5%) single-nucleotide variations (SNVs).
125 ing in 106 monkeys to identify IT-associated single-nucleotide variations (SNVs).
126  trauma exposure using genome-wide variants (single-nucleotide variations [SNVs]) or polygenic scores
127 issues by examining copy number alterations, single nucleotide variations, structural variations, and
128                        An HF PRS (>1 million single nucleotide variations) was used to stratify indiv
129                       The average numbers of single nucleotide variations were different between the
130 romeres show at least a 4.1-fold increase in single-nucleotide variation when compared with their uni
131                                              Single-nucleotide variations with a minor allele frequen
132 y have abundant TSAs owing to non-synonymous single nucleotide variations within the genome.
133 chroism, we report the effect of introducing single nucleotide variations within the TGACGTCA canonic
134                                 Detection of single-nucleotide variations within a sequence selected
135            This probe system can distinguish single-nucleotide variations within single mRNA molecule

 
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