Pan-cancer and cross-population genome-wide association studies dissect shared genetic backgrounds underlying carcinogenesis
© 2023. The Author(s)..
Integrating genomic data of multiple cancers allows de novo cancer grouping and elucidating the shared genetic basis across cancers. Here, we conduct the pan-cancer and cross-population genome-wide association study (GWAS) meta-analysis and replication studies on 13 cancers including 250,015 East Asians (Biobank Japan) and 377,441 Europeans (UK Biobank). We identify ten cancer risk variants including five pleiotropic associations (e.g., rs2076295 at DSP on 6p24 associated with lung cancer and rs2525548 at TRIM4 on 7q22 nominally associated with six cancers). Quantifying shared heritability among the cancers detects positive genetic correlations between breast and prostate cancer across populations. Common genetic components increase the statistical power, and the large-scale meta-analysis of 277,896 breast/prostate cancer cases and 901,858 controls identifies 91 newly genome-wide significant loci. Enrichment analysis of pathways and cell types reveals shared genetic backgrounds across said cancers. Focusing on genetically correlated cancers can contribute to enhancing our insights into carcinogenesis.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2023 |
|---|---|
| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:14 |
|---|---|
| Enthalten in: |
Nature communications - 14(2023), 1 vom: 20. Juni, Seite 3671 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Sato, Go [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
Journal Article |
|---|
| Anmerkungen: |
Date Completed 22.06.2023 Date Revised 01.07.2023 published: Electronic Citation Status MEDLINE |
|---|
| doi: |
10.1038/s41467-023-39136-7 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM358414989 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM358414989 | ||
| 003 | DE-627 | ||
| 005 | 20231226074706.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231226s2023 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1038/s41467-023-39136-7 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1194.xml |
| 035 | |a (DE-627)NLM358414989 | ||
| 035 | |a (NLM)37340002 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Sato, Go |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Pan-cancer and cross-population genome-wide association studies dissect shared genetic backgrounds underlying carcinogenesis |
| 264 | 1 | |c 2023 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 22.06.2023 | ||
| 500 | |a Date Revised 01.07.2023 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2023. The Author(s). | ||
| 520 | |a Integrating genomic data of multiple cancers allows de novo cancer grouping and elucidating the shared genetic basis across cancers. Here, we conduct the pan-cancer and cross-population genome-wide association study (GWAS) meta-analysis and replication studies on 13 cancers including 250,015 East Asians (Biobank Japan) and 377,441 Europeans (UK Biobank). We identify ten cancer risk variants including five pleiotropic associations (e.g., rs2076295 at DSP on 6p24 associated with lung cancer and rs2525548 at TRIM4 on 7q22 nominally associated with six cancers). Quantifying shared heritability among the cancers detects positive genetic correlations between breast and prostate cancer across populations. Common genetic components increase the statistical power, and the large-scale meta-analysis of 277,896 breast/prostate cancer cases and 901,858 controls identifies 91 newly genome-wide significant loci. Enrichment analysis of pathways and cell types reveals shared genetic backgrounds across said cancers. Focusing on genetically correlated cancers can contribute to enhancing our insights into carcinogenesis | ||
| 650 | 4 | |a Meta-Analysis | |
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 700 | 1 | |a Shirai, Yuya |e verfasserin |4 aut | |
| 700 | 1 | |a Namba, Shinichi |e verfasserin |4 aut | |
| 700 | 1 | |a Edahiro, Ryuya |e verfasserin |4 aut | |
| 700 | 1 | |a Sonehara, Kyuto |e verfasserin |4 aut | |
| 700 | 1 | |a Hata, Tsuyoshi |e verfasserin |4 aut | |
| 700 | 1 | |a Uemura, Mamoru |e verfasserin |4 aut | |
| 700 | 0 | |a Biobank Japan Project |e verfasserin |4 aut | |
| 700 | 1 | |a Matsuda, Koichi |e verfasserin |4 aut | |
| 700 | 1 | |a Doki, Yuichiro |e verfasserin |4 aut | |
| 700 | 1 | |a Eguchi, Hidetoshi |e verfasserin |4 aut | |
| 700 | 1 | |a Okada, Yukinori |e verfasserin |4 aut | |
| 700 | 1 | |a Yamanashi, Yuji |e investigator |4 oth | |
| 700 | 1 | |a Furukawa, Yoichi |e investigator |4 oth | |
| 700 | 1 | |a Morisaki, Takayuki |e investigator |4 oth | |
| 700 | 1 | |a Murakami, Yoshinori |e investigator |4 oth | |
| 700 | 1 | |a Kamatani, Yoichiro |e investigator |4 oth | |
| 700 | 1 | |a Muto, Kaori |e investigator |4 oth | |
| 700 | 1 | |a Nagai, Akiko |e investigator |4 oth | |
| 700 | 1 | |a Obara, Wataru |e investigator |4 oth | |
| 700 | 1 | |a Yamaji, Ken |e investigator |4 oth | |
| 700 | 1 | |a Takahashi, Kazuhisa |e investigator |4 oth | |
| 700 | 1 | |a Asai, Satoshi |e investigator |4 oth | |
| 700 | 1 | |a Takahashi, Yasuo |e investigator |4 oth | |
| 700 | 1 | |a Suzuki, Takao |e investigator |4 oth | |
| 700 | 1 | |a Sinozaki, Nobuaki |e investigator |4 oth | |
| 700 | 1 | |a Yamaguchi, Hiroki |e investigator |4 oth | |
| 700 | 1 | |a Minami, Shiro |e investigator |4 oth | |
| 700 | 1 | |a Murayama, Shigeo |e investigator |4 oth | |
| 700 | 1 | |a Yoshimori, Kozo |e investigator |4 oth | |
| 700 | 1 | |a Nagayama, Satoshi |e investigator |4 oth | |
| 700 | 1 | |a Obata, Daisuke |e investigator |4 oth | |
| 700 | 1 | |a Higashiyama, Masahiko |e investigator |4 oth | |
| 700 | 1 | |a Masumoto, Akihide |e investigator |4 oth | |
| 700 | 1 | |a Koretsune, Yukihiro |e investigator |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |t Nature communications |d 2010 |g 14(2023), 1 vom: 20. Juni, Seite 3671 |w (DE-627)NLM199274525 |x 2041-1723 |7 nnns |
| 773 | 1 | 8 | |g volume:14 |g year:2023 |g number:1 |g day:20 |g month:06 |g pages:3671 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1038/s41467-023-39136-7 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 14 |j 2023 |e 1 |b 20 |c 06 |h 3671 | ||