Nature Genetics is the primary research journal for the genetics community. With a reputation for quality global coverage, Nature Genetics delivers the latest research across the field, including human genetics and genomics, genomics in plant and animal breeding, epigenetics, cancer and genetic technology. With News and Views, Analysis, Perspectives, Letters, Articles and Technical Reports, Nature Genetics is consistently the most frequently cited primary research journal in the field of Genetics and Heredity. http://feeds.nature.com/ng/rss/current Nature Publishing Group en © 2026 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. Nature Genetics © 2026 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. permissions@nature.com https://www.nature.com/uploads/product/ng/rss.png http://feeds.nature.com/ng/rss/current https://www.nature.com/articles/s41588-026-02571-5 Nature Genetics, Published online: 30 April 2026; doi:10.1038/s41588-026-02571-5

Genetic prediction of type 1 diabetes is one of the most successful for complex traits. A machine learning approach now improves this further and discovers multiple non-linear locus–locus interactions and molecular subclusters with differing clinical features.]]> Yangxi LiConstantin Polychronakos doi:10.1038/s41588-026-02571-5 Nature Genetics, Published online: 2026-04-30; | doi:10.1038/s41588-026-02571-5 2026-04-30 Nature Genetics 10.1038/s41588-026-02571-5 https://www.nature.com/articles/s41588-026-02571-5 https://www.nature.com/articles/s41588-026-02578-y Nature Genetics, Published online: 30 April 2026; doi:10.1038/s41588-026-02578-y

Genome-wide association and fine-mapping analyses of type 1 diabetes (T1D) identify multiple genetic risk signals. Furthermore, a machine learning model, T1GRS, improves the prediction of T1D in individuals with complex risk profiles and identifies genetic subgroups.]]> Carolyn McGrailTimothy J. SearsEmily N. GriffinAlexandra L. GhabenPatrick SmadbeckJason FlannickParul KudtarkarHannah CarterKyle Gaulton doi:10.1038/s41588-026-02578-y Nature Genetics, Published online: 2026-04-30; | doi:10.1038/s41588-026-02578-y 2026-04-30 Nature Genetics 10.1038/s41588-026-02578-y https://www.nature.com/articles/s41588-026-02578-y https://www.nature.com/articles/s41588-026-02582-2 Nature Genetics, Published online: 29 April 2026; doi:10.1038/s41588-026-02582-2

Multi-ancestry genome-wide association analyses coupled with multi-omics integration identify new risk loci for endometriosis and adenomyosis, shed light on underlying molecular mechanisms and suggest potential therapeutic interventions.]]> Dora KollerJun HeSolveig LøkhammerSelena ArandaDan QiuDavid DavtianQianyu ChenZiang XuZhongzheng MaoEleni FriligkouSefayet KaracaBru CormandIdhaliz FloresSigne AltmäeMarina MitjansBrenda Cabrera-MendozaRenato Polimanti doi:10.1038/s41588-026-02582-2 Nature Genetics, Published online: 2026-04-29; | doi:10.1038/s41588-026-02582-2 2026-04-29 Nature Genetics 10.1038/s41588-026-02582-2 https://www.nature.com/articles/s41588-026-02582-2 https://www.nature.com/articles/s41588-026-02609-8 Nature Genetics, Published online: 28 April 2026; doi:10.1038/s41588-026-02609-8

Author Correction: Challenges and future directions for Mendelian randomization]]> Eleanor SandersonMichael G. LevinVenexia WalkerShuai YuanIsabella BadiniJulia DolceKarina J. MahidaJu-Woo NhoJean-Baptiste PingaultScott M. DamrauerGibran HemaniNeil M. Davies doi:10.1038/s41588-026-02609-8 Nature Genetics, Published online: 2026-04-28; | doi:10.1038/s41588-026-02609-8 2026-04-28 Nature Genetics 10.1038/s41588-026-02609-8 https://www.nature.com/articles/s41588-026-02609-8 https://www.nature.com/articles/s41588-026-02608-9 Nature Genetics, Published online: 28 April 2026; doi:10.1038/s41588-026-02608-9

Publisher Correction: Multi-ancestry genome-wide association study of severe pregnancy nausea and vomiting]]> Marlena FejzoXinran WangQing TanJulia ZöllnerNatàlia Pujol-GualdoTriin LaiskAndres MetspaluLili MilaniTõnu EskoReedik MägiMari NelisGeorgi HudjashovSarah FinerDavid A. van HeelEamonn MaherShabana ChaudharyJoseph GaftonKaren A. HuntShapna HussainKamrul IslamMohammed Bodrul MazidElizabeth OworJessry RussellNishat SafaJohn SollyMarie SpreckleyJan WhalleyIshevanhu ZengeyaEmily MantleShaheen AkhtarSamina AshrafDan MasonJohn WrightDaniel MacArthurMichael SimpsonRichard C. TrembathGerome BreenRaymond ChungSang Hyuck LeeOmar AsgarJoanne HarveyKaren TrickerCaroline WinckleyHanifa KhatunAmna AsifClaudia LangenbergGrainne ColliganCeri DurhamBill NewmanAhsan KhanHilary MartinTeng HengMatt HurlesVivek IyerGeorgios KalantzisVladimir OvchinnikovIaroslav PopovKlaudia WalterPanos DeloukasDavid CollierAna AngelSaeed BidiFabiola EtoChris GriffithsSam HodgsonBenjamin M. JacobsRohini MathurCaroline MortonAsma QureshiStuart RisonAnnum SalmanMiriam SamuelMoneeza K. SiddiquiDaniel StowSabina YasminSheik DowlutBen BrumptonLaxmi BhattaKristian HveemElizabeth A. JasperDigna R. Velez EdwardsJacklyn N. HellwegeTodd EdwardsGail P. JarvikYuan LuoAtlas KhanKimber MacGibbonYuan GaoGaoxiang GeInna AverbukhErin SoonMichael AngeloPer MagnusStefan JohanssonPål R. NjølstadArtem KimSteven GazalMarc VaudelChang April ShuNicholas Mancuso doi:10.1038/s41588-026-02608-9 Nature Genetics, Published online: 2026-04-28; | doi:10.1038/s41588-026-02608-9 2026-04-28 Nature Genetics 10.1038/s41588-026-02608-9 https://www.nature.com/articles/s41588-026-02608-9 https://www.nature.com/articles/s41588-026-02562-6 Nature Genetics, Published online: 28 April 2026; doi:10.1038/s41588-026-02562-6

This review examines how ancient DNA has transformed our understanding of human adaptation by enabling genetic changes to be tracked directly through time, revealing how past shifts in environment, diet and disease shaped present-day human variation.]]> Dina MemarMoshrefiOlivia L. JohnsonChristian D. Huber doi:10.1038/s41588-026-02562-6 Nature Genetics, Published online: 2026-04-28; | doi:10.1038/s41588-026-02562-6 2026-04-28 Nature Genetics 10.1038/s41588-026-02562-6 https://www.nature.com/articles/s41588-026-02562-6 https://www.nature.com/articles/s41588-026-02579-x Nature Genetics, Published online: 27 April 2026; doi:10.1038/s41588-026-02579-x

INSPIRE addresses challenges to integrating diverse spatial transcriptomics datasets by combining deep learning with non-negative matrix factorization, revealing shared and context-specific spatial gene programs and tissue organization across scales.]]> Jia ZhaoXiangyu ZhangGefei WangYingxin LinTianyu LiuRui B. ChangHongyu Zhao doi:10.1038/s41588-026-02579-x Nature Genetics, Published online: 2026-04-27; | doi:10.1038/s41588-026-02579-x 2026-04-27 Nature Genetics 10.1038/s41588-026-02579-x https://www.nature.com/articles/s41588-026-02579-x https://www.nature.com/articles/s41588-026-02580-4 Nature Genetics, Published online: 27 April 2026; doi:10.1038/s41588-026-02580-4

Profiling of pleural mesothelioma samples from 91 patients identifies four DNA methylation subtypes that correlate with response to immune checkpoint inhibition and survival]]> Luana CalabròFrancesca P. CarusoAlessia CovreTeresa M. R. NovielloMaria F. LofiegoRossella TufanoLuigi FerraroPiera GrisoliaAntonio De FalcoVincenzo LaganoFrancesco SgambelluriGiovanna SabellaGiulia RossiGiulia GibiliscoFrancesco MarzaniEmma BelloElena SimonettiVincenzo D’AlonzoMichele CaragliaSandra CoralAntonina De AngelisLuigi CerboneSara DelfantiDiana GiannarelliFederica GrossoAnna Maria Di GiacomoMassimo MilioneRoberta MortariniAndrea AnichiniMichele CeccarelliMichele Maio doi:10.1038/s41588-026-02580-4 Nature Genetics, Published online: 2026-04-27; | doi:10.1038/s41588-026-02580-4 2026-04-27 Nature Genetics 10.1038/s41588-026-02580-4 https://www.nature.com/articles/s41588-026-02580-4