John Novembre, PhD

The Novembre research group uses computational tools to study genetic diversity in natural populations. Our goal is to develop widely used statistical methods for intelligently extracting information from large-scale genomic data with the aim to improve understanding of: (1) basic genomic biology, (2) the biology of heritable disease traits, (3) the genetic basis of evolutionary processes, and (4) the history and evolution of various species, especially humans. From a disciplinary perspective, most of the ideas we use are from theoretical population genetics, statistical genetics, and computational statistics. Much of our work is invigorated by addressing data from emerging genotyping and sequencing technologies applied to large or particularly interesting population samples.

Indigenous Ancestry and Admixture in the Uruguayan Population.
Spangenberg L, Fariello MI, Arce D, Illanes G, Greif G, Shin JY, Yoo SK, Seo JS, Robello C, Kim C, Novembre J, Sans M, Naya H. Indigenous Ancestry and Admixture in the Uruguayan Population. Front Genet. 2021; 12:733195.
PMID: 34630523

Parental relatedness through time revealed by runs of homozygosity in ancient DNA.
Ringbauer H, Novembre J, Steinrücken M. Parental relatedness through time revealed by runs of homozygosity in ancient DNA. Nat Commun. 2021 09 14; 12(1):5425.
PMID: 34521843

Fast and flexible estimation of effective migration surfaces.
Marcus J, Ha W, Barber RF, Novembre J. Fast and flexible estimation of effective migration surfaces. Elife. 2021 07 30; 10.
PMID: 34328078

Public attitudes toward genetic risk scoring in medicine and beyond.
Zhang S, Johnson RA, Novembre J, Freeland E, Conley D. Public attitudes toward genetic risk scoring in medicine and beyond. Soc Sci Med. 2021 04; 274:113796.
PMID: 33684700

A variant-centric perspective on geographic patterns of human allele frequency variation.
Biddanda A, Rice DP, Novembre J. A variant-centric perspective on geographic patterns of human allele frequency variation. Elife. 2020 12 22; 9.
PMID: 33350384

Genetic Landscapes Reveal How Human Genetic Diversity Aligns with Geography.
Peter BM, Petkova D, Novembre J. Genetic Landscapes Reveal How Human Genetic Diversity Aligns with Geography. Mol Biol Evol. 2020 04 01; 37(4):943-951.
PMID: 31778174

Genetic history from the Middle Neolithic to present on the Mediterranean island of Sardinia.
Marcus JH, Posth C, Ringbauer H, Lai L, Skeates R, Sidore C, Beckett J, Furtwängler A, Olivieri A, Chiang CWK, Al-Asadi H, Dey K, Joseph TA, Liu CC, Der Sarkissian C, Radzeviciute R, Michel M, Gradoli MG, Marongiu P, Rubino S, Mazzarello V, Rovina D, La Fragola A, Serra RM, Bandiera P, Bianucci R, Pompianu E, Murgia C, Guirguis M, Orquin RP, Tuross N, van Dommelen P, Haak W, Reich D, Schlessinger D, Cucca F, Krause J, Novembre J. Genetic history from the Middle Neolithic to present on the Mediterranean island of Sardinia. Nat Commun. 2020 02 24; 11(1):939.
PMID: 32094358

Exploring Population Structure with Admixture Models and Principal Component Analysis.
Liu CC, Shringarpure S, Lange K, Novembre J. Exploring Population Structure with Admixture Models and Principal Component Analysis. Methods Mol Biol. 2020; 2090:67-86.
PMID: 31975164

Genetic landscapes reveal how human genetic diversity aligns with geography.
Peter BM, Petkova D, Novembre J. Genetic landscapes reveal how human genetic diversity aligns with geography. Mol Biol Evol. 2019 Nov 28.
PMID: 31778174

De novo mutation rate estimation in wolves of known pedigree.
Koch E, Schweizer RM, Schweizer TM, Stahler DR, Smith DW, Wayne RK, Novembre J. De novo mutation rate estimation in wolves of known pedigree. Mol Biol Evol. 2019 Jul 12.
PMID: 31297530

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