From da8b486d756b508d75aaad8a84735e60283ad2af Mon Sep 17 00:00:00 2001 From: daianna21 Date: Wed, 28 Aug 2024 15:25:55 +0100 Subject: [PATCH] Improve main README --- .DS_Store | Bin 10244 -> 10244 bytes README.html | 481 ++++++++++++++++++++++++++++++++++++++++++++++++ README.md | 34 +++- images/fig1.jpg | Bin 0 -> 572213 bytes images/fig4.jpg | Bin 0 -> 683899 bytes 5 files changed, 513 insertions(+), 2 deletions(-) create mode 100644 README.html create mode 100644 images/fig1.jpg create mode 100644 images/fig4.jpg diff --git a/.DS_Store b/.DS_Store index 8c4dc09d8578429c7bad1e7c0b7b87dde3647cf1..15577cca44761a8a50633ebf59e4b459bad3f2f6 100644 GIT binary patch delta 42 ycmZn(XbITRDma;0w3OY{z)(lQ%yjZA0qM!JL{&CB3LWF!%%<>%WizuV6EgrN`wa5{ delta 46 zcmZn(XbITRDmd9&vXtM<(m+SS#MrV{N1@u(%yRNa0gKHJLdSSFvn%{&*~}=)#0&sl CQVu8p diff --git a/README.html b/README.html new file mode 100644 index 0000000..293bab6 --- /dev/null +++ b/README.html @@ -0,0 +1,481 @@ + + + + + + + + + + + + + +README + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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Population-scale variability of the human UDP-glycosyltransferase +gene family

+

This repository was created to maintain version control of this +pharmacogenomics project at Karolinska Institutet (KI) under the +supervision of Volker M. Lauschke and Yitian Zhou.

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+

Abstract

+

Human UDP-glycosyltransferases (UGTs) are responsible for the +glycosylation of a wide variety of endogenous substrates and commonly +prescribed drugs. Different genetic polymorphisms in UGT genes are +implicated in interindividual differences in drug response and cancer +risk. However, the genetic complexity beyond these variants has not been +comprehensively assessed. We here leveraged whole-exome and whole-genome +sequencing data from 141,456 unrelated individuals across 7 major human +populations to provide a comprehensive profile of genetic variability +across the human UGT gene family. Overall, 9666 exonic variants were +observed of which 98.9% were rare. To interpret the functional impact of +UGT missense variants, we developed a gene family-specific variant +effect predictor. This algorithm identified a total of 1208 deleterious +variants, most of which were found in African and South Asian +populations. Structural analysis corroborated the predicted effects for +multiple variations in substrate binding sites. Combined, our analyses +provide a systematic overview of UGT variability, which can yield +insights into interindividual differences in phase 2 metabolism and +facilitate the translation of sequencing data into personalized +predictions of UGT substrate disposition.

+

+ +

+

Global landscape of human UGT variability. A: +Schematic representation of the canonical transcripts of the UGT1A and +UGT2A loci, including gene-specific and shared exons. +B: The total number of variants across the four human +UGT gene families is shown. C: The distribution of +variant types is shown for all exonic variants. D: Of +all exonic UGT variants, 98.9% and 97.4% were rare or very rare with +global MAF <1% and <0.1%, respectively. Furthermore, 59.8% were +singletons found only in one individual. E: Observed +against expected missense-to-synonymous variant ratio indicates the +mutational constraints of all human UGT genes. Abbreviations: MAF: minor +allele frequency.

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+ +

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Ethnogeographic variability within the human UGT gene family. +A: Frequency distribution of the UGT1A1 promoter polymorphism +across seven human populations. B: MAFs of putatively +deleterious variants across all UGT genes. Only the variants that map to +gene-specific exons are shown for each gene. Variants localized in +shared exons of the UGT1A or UGT2A loci are shown as UGT1A[1−10] and +UGT2A[1−2], respectively. C: The average number of +deleterious UGT variants per individual is shown for different +populations. The eight variants responsible for the largest +contributions to overall functional variability are shown +individually.

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Data access

+

No raw data were generated in this project. All used data can be +directly downloaded from the corresponding cited sources (gnomAD, +Ensembl, ClinVar, AlphaMissense, and COSMIC).

+
+
+

Code availability

+

All code run in R/Bash required to perform the analyses and produce +the figures and results can be found in the code +section where they are carefully described.

+
+
+

Article citation

+
+

González-Padilla, D., Camara, M. D., Lauschke, V. M., & Zhou, Y. +(2024). Population-scale variability of the human +UDP-glycosyltransferase gene family. Journal of Genetics and Genomics. +doi: https://doi.org/10.1016/j.jgg.2024.06.018

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+ + + + +
+ + + + + + + + + + + + + + + diff --git a/README.md b/README.md index 572e391..c05ba57 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,32 @@ -# UGT_genetic_profiling_KI -This repository was created to maintain version control of the pharmacogenomics KI project that aims to analyze genetic variants in UGT genes across different human populations. +# Population-scale variability of the human UDP-glycosyltransferase gene family +This repository was created to maintain version control of this pharmacogenomics project at Karolinska Institutet (KI) under the supervision of Volker M. Lauschke and Yitian Zhou. + + +## Abstract +Human UDP-glycosyltransferases (UGTs) are responsible for the glycosylation of a wide variety of endogenous substrates and commonly prescribed drugs. Different genetic polymorphisms in UGT genes are implicated in interindividual differences in drug response and cancer risk. However, the genetic complexity beyond these variants has not been comprehensively assessed. We here leveraged whole-exome and whole-genome sequencing data from 141,456 unrelated individuals across 7 major human populations to provide a comprehensive profile of genetic variability across the human UGT gene family. Overall, 9666 exonic variants were observed of which 98.9% were rare. To interpret the functional impact of UGT missense variants, we developed a gene family-specific variant effect predictor. This algorithm identified a total of 1208 deleterious variants, most of which were found in African and South Asian populations. Structural analysis corroborated the predicted effects for multiple variations in substrate binding sites. Combined, our analyses provide a systematic overview of UGT variability, which can yield insights into interindividual differences in phase 2 metabolism and facilitate the translation of sequencing data into personalized predictions of UGT substrate disposition. + +

+ +

+ +**Global landscape of human UGT variability. A**: Schematic representation of the canonical transcripts of the UGT1A and UGT2A loci, including gene-specific and shared exons. **B**: The total number of variants across the four human UGT gene families is shown. **C**: The distribution of variant types is shown for all exonic variants. **D**: Of all exonic UGT variants, 98.9% and 97.4% were rare or very rare with global MAF <1% and <0.1%, respectively. Furthermore, 59.8% were singletons found only in one individual. **E**: Observed against expected missense-to-synonymous variant ratio indicates the mutational constraints of all human UGT genes. +Abbreviations: MAF: minor allele frequency. + +

+ +

+ +**Ethnogeographic variability within the human UGT gene family. A**: Frequency distribution of the UGT1A1 promoter polymorphism across seven human populations. **B**: MAFs of putatively deleterious variants across all UGT genes. Only the variants that map to gene-specific exons are shown for each gene. Variants localized in shared exons of the UGT1A or UGT2A loci are shown as UGT1A[1−10] and UGT2A[1−2], respectively. **C**: The average number of deleterious UGT variants per individual is shown for different populations. The eight variants responsible for the largest contributions to overall functional variability are shown individually. + +## Data access +No raw data were generated in this project. All used data can be directly downloaded from the corresponding cited sources (gnomAD, Ensembl, ClinVar, AlphaMissense, and COSMIC). + +## Code availability +All code run in R/Bash required to perform the analyses and produce the figures and results can be found in the [code](code/) section where they are carefully described. + + +## Article citation +> González-Padilla, D., Camara, M. D., Lauschke, V. M., & Zhou, Y. (2024). Population-scale variability of the human UDP-glycosyltransferase gene family. Journal of Genetics and Genomics. doi: https://doi.org/10.1016/j.jgg.2024.06.018 + + + diff --git a/images/fig1.jpg b/images/fig1.jpg new file mode 100644 index 0000000000000000000000000000000000000000..4cb6042eae2fddaaa9483121b1007feb16742bad GIT binary patch literal 572213 zcmeFZcUV)~)-Q~rqM#y8kRn^ECKM?F>6Qcp1Pn*5UlYi2mzsw9eb>`HcboR`d(`U|| zWo12g_S`wv^X%tY*)Fo3J9mNO!bSE=mpCr5p6BG^yu`(*U;6VRC;mK>`P5m)iI>>U zu`&Mr7wOk0CXTabomtzNPjE1u6s^_-6V$v79|~j``H-lP6di z?ZKCr7$Y-yXTETW{mjWzOu|ejPBL20uyCB^ympRDMD7kZ58strP^9VWq_Xbb%e?Z+ zaD>StAHRgeWJ*t;C`d`=uCb@Lum98d+>%l;1x2rjVpzHOJ=^yZU~N15l+Rx$C9gwt z92}oL&z_q8qkcWFVdI8VWKKR~a3Ka)Crg&?-+Z=7oXvgS5SmKdiwrzw}@9l$vO*2>DlCE-n($yY*Fvh9zHSg zFB|s|c2oBC;KZ{&&wq_Doo8ks!okeJq{TGy=I@yNZ(Xt&FZxo3R<>wsNPtD?1>j{} zIx6243jVrLx#pD((j38adVP9zWdk=`l?n?^=Q7Scn-!Ft1Fnk`XM)J{D{z6 z%Wb*x<9EGJ|AEy_!3i55BLnyG$Mc7UF?M@0OLgY@5j}hk_XoeuqBE;RR?|JE4c|E_ z?r`tC-azyi39cJ9ws05M2sRbNe7q5=0D#N_p5;2@Y9}~1PJi7^eB5;>4vC7G-6prJ 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