Deep sequencing analysis to identify novel and rare variants in pain-related genes in patients with acute postoperative pain and high morphine use

Mun-Fai Loke,1 Heming Wei,1 Junjie Yeo,2 Ban-Leong Sng,3 Alex T Sia,3 Ene-Choo Tan1 1Research Laboratory, KK Women’s & Children’s Hospital, Singapore, Singapore; 2Duke-NUS Medical School, Singapore, Singapore; 3Department of Women’s Anaesthesia, KK Women&rsq...

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Main Authors: Loke MF, Wei H, Yeo J, Sng BL, Sia AT, Tan EC
Format: Article
Language:English
Published: Dove Medical Press 2019-09-01
Series:Journal of Pain Research
Subjects:
Online Access:https://www.dovepress.com/deep-sequencing-analysis-to-identify-novel-and-rare-variants-in-pain-r-peer-reviewed-article-JPR
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spelling doaj-a5b74303c8ed4201ad304e55f3b75cac2020-11-24T22:15:02ZengDove Medical PressJournal of Pain Research1178-70902019-09-01Volume 122755277048698Deep sequencing analysis to identify novel and rare variants in pain-related genes in patients with acute postoperative pain and high morphine useLoke MFWei HYeo JSng BLSia ATTan ECMun-Fai Loke,1 Heming Wei,1 Junjie Yeo,2 Ban-Leong Sng,3 Alex T Sia,3 Ene-Choo Tan1 1Research Laboratory, KK Women’s & Children’s Hospital, Singapore, Singapore; 2Duke-NUS Medical School, Singapore, Singapore; 3Department of Women’s Anaesthesia, KK Women’s & Children’s Hospital, Singapore, SingaporeCorrespondence: Ene-Choo TanKK Research Centre, KK Women’s and Children’s Hospital, Singapore 229899, SingaporeTel +65 6 394 3792Fax +65 6 394 1618Email tan.ene.choo@kkh.com.sgPurpose: Most of the genetic variants that are reported to be associated with common pain phenotypes and analgesic use are common polymorphisms. The objective of our study was to identify new variants and investigate less common genetic variants that are usually not included in either small single-gene studies or high-throughput genotyping arrays.Patients and methods: From a cohort of 1075 patients who underwent a scheduled total abdominal hysterectomy, 92 who had higher self-rated pain scores and used more morphine were selected for the re-sequencing of 105 genes.Results: We identified over 2400 variants in 104 genes. Most were intronic with frequencies >5%. There were 181 novel variants, of which 30 were located in exons: 17 nonsynonymous, 10 synonymous, 2 non-coding RNA, and 1 stop-gain. For known variants that are rare (population frequency <1%), the frequencies of 54 exonic variants and eight intronic variants for the sequenced samples were higher than the weighted frequencies in the Genome Aggregation Database for East and South Asians (P-values ranging from 0.000 to 0.046). Overall, patients who had novel and/or rare variants used more morphine than those who only had common variants.Conclusion: Our study uncovered novel variants in patients who reported higher pain and used more morphine. Compared with the general population, rare variants were more common in this group.Keywords: postoperative pain, genetic variants, next-generation sequencing, morphinehttps://www.dovepress.com/deep-sequencing-analysis-to-identify-novel-and-rare-variants-in-pain-r-peer-reviewed-article-JPRpostoperative paingenetic variantsnext-generation sequencing (NGS)morphine
collection DOAJ
language English
format Article
sources DOAJ
author Loke MF
Wei H
Yeo J
Sng BL
Sia AT
Tan EC
spellingShingle Loke MF
Wei H
Yeo J
Sng BL
Sia AT
Tan EC
Deep sequencing analysis to identify novel and rare variants in pain-related genes in patients with acute postoperative pain and high morphine use
Journal of Pain Research
postoperative pain
genetic variants
next-generation sequencing (NGS)
morphine
author_facet Loke MF
Wei H
Yeo J
Sng BL
Sia AT
Tan EC
author_sort Loke MF
title Deep sequencing analysis to identify novel and rare variants in pain-related genes in patients with acute postoperative pain and high morphine use
title_short Deep sequencing analysis to identify novel and rare variants in pain-related genes in patients with acute postoperative pain and high morphine use
title_full Deep sequencing analysis to identify novel and rare variants in pain-related genes in patients with acute postoperative pain and high morphine use
title_fullStr Deep sequencing analysis to identify novel and rare variants in pain-related genes in patients with acute postoperative pain and high morphine use
title_full_unstemmed Deep sequencing analysis to identify novel and rare variants in pain-related genes in patients with acute postoperative pain and high morphine use
title_sort deep sequencing analysis to identify novel and rare variants in pain-related genes in patients with acute postoperative pain and high morphine use
publisher Dove Medical Press
series Journal of Pain Research
issn 1178-7090
publishDate 2019-09-01
description Mun-Fai Loke,1 Heming Wei,1 Junjie Yeo,2 Ban-Leong Sng,3 Alex T Sia,3 Ene-Choo Tan1 1Research Laboratory, KK Women’s & Children’s Hospital, Singapore, Singapore; 2Duke-NUS Medical School, Singapore, Singapore; 3Department of Women’s Anaesthesia, KK Women’s & Children’s Hospital, Singapore, SingaporeCorrespondence: Ene-Choo TanKK Research Centre, KK Women’s and Children’s Hospital, Singapore 229899, SingaporeTel +65 6 394 3792Fax +65 6 394 1618Email tan.ene.choo@kkh.com.sgPurpose: Most of the genetic variants that are reported to be associated with common pain phenotypes and analgesic use are common polymorphisms. The objective of our study was to identify new variants and investigate less common genetic variants that are usually not included in either small single-gene studies or high-throughput genotyping arrays.Patients and methods: From a cohort of 1075 patients who underwent a scheduled total abdominal hysterectomy, 92 who had higher self-rated pain scores and used more morphine were selected for the re-sequencing of 105 genes.Results: We identified over 2400 variants in 104 genes. Most were intronic with frequencies >5%. There were 181 novel variants, of which 30 were located in exons: 17 nonsynonymous, 10 synonymous, 2 non-coding RNA, and 1 stop-gain. For known variants that are rare (population frequency <1%), the frequencies of 54 exonic variants and eight intronic variants for the sequenced samples were higher than the weighted frequencies in the Genome Aggregation Database for East and South Asians (P-values ranging from 0.000 to 0.046). Overall, patients who had novel and/or rare variants used more morphine than those who only had common variants.Conclusion: Our study uncovered novel variants in patients who reported higher pain and used more morphine. Compared with the general population, rare variants were more common in this group.Keywords: postoperative pain, genetic variants, next-generation sequencing, morphine
topic postoperative pain
genetic variants
next-generation sequencing (NGS)
morphine
url https://www.dovepress.com/deep-sequencing-analysis-to-identify-novel-and-rare-variants-in-pain-r-peer-reviewed-article-JPR
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