Author

D. Reich

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Evolutionary Biology· 3 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Organism:human· 3 Research Focus:variant effect prediction· 2 Assay:whole-genome sequencing· 2 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:development & morphogenesis· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

A. Akbari· 1 shared A. Berger· 1 shared A. Bloemendal· 1 shared A. Ganna· 1 shared A. Harpak· 1 shared A. R. Martin· 1 shared B. M. Neale· 1 shared C. P. Klingenberg· 1 shared

Activity by Year

2018-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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1 shared paperGenomics

A. Akbari

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4 papers

Recent·Most cited

1,000 ancient genomes uncover 10,000 years of natural selection in Europe

M. K. Le, O. S. Smith, A. Akbari, A. Harpak, D. Reich, V. M. Narasimhan

This study analyzes 1,000 ancient genomes to identify genetic changes linked to natural selection in Europe over 10,000 years, revealing adaptation to cultural shifts and disease.

bioRxiv · Aug 24, 2022 · PreprintGenomics

On the limits of fitting complex models of population history to genetic data

R. Maier, P. Flegontov, O. Flegontova, P. Changmai, D. Reich

This paper evaluates the limitations of admixture graphs in modeling population history, finding non-unique models for complex scenarios and suggesting caution in drawing conclusions from such graphs.

bioRxiv · May 8, 2022Evolutionary Biology

Modularity and evolution of flower shape: the role of efficiency, development, and spandrels in Erica

D. Reich, A. Berger, M. von Balthazar, M. Chartier, M. Sherafati, C. P. Klingenberg, S. Manafzadeh, Y. M. Staedler

This study investigates floral modularity in Erica species, showing that generalist flowers depend on development while specialists are linked to efficiency, with shape PC1 adapting to novel pollinators.

bioRxiv · May 5, 2019Evolutionary Biology

Signals of polygenic adaptation on height have been overestimated due to uncorrected population structure in genome-wide association studies

M. Sohail, R. M. Maier, A. Ganna, A. Bloemendal, A. R. Martin, M. C. Turchin, C. W. K. Chiang, J. N. Hirschhorn, M. J. Daly, N. Patterson, B. M. Neale, I. Mathieson, D. Reich, S. R. Sunyaev

The paper shows that polygenic adaptation signals for height are overestimated due to uncorrected population structure in GWAS data.

bioRxiv · Jul 9, 2018Evolutionary Biology