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.
Study design and the sampling of deleterious rare variants in biobank-scale datasets.
Study design and the sampling of deleterious rare variants in biobank-scale datasets. Proc Natl Acad Sci U S A. 2025 Jun 10; 122(23):e2425196122.
PMID: 40460117
Detecting deviations from Kingman coalescence using 2-site frequency spectra.
Detecting deviations from Kingman coalescence using 2-site frequency spectra. Genetics. 2025 Apr 17; 229(4).
PMID: 39919046
Jointly representing long-range genetic similarity and spatially heterogeneous isolation-by-distance.
Jointly representing long-range genetic similarity and spatially heterogeneous isolation-by-distance. bioRxiv. 2025 Mar 07.
PMID: 39990319
Study design and the sampling of deleterious rare variants in biobank-scale datasets.
Study design and the sampling of deleterious rare variants in biobank-scale datasets. bioRxiv. 2025 Jan 29.
PMID: 39677632
Study design and the sampling of deleterious rare variants in biobank-scale datasets.
Study design and the sampling of deleterious rare variants in biobank-scale datasets. bioRxiv. 2024 Dec 02.
PMID: 39677632
No evidence that ACE2 or TMPRSS2 drive population disparity in COVID risks.
No evidence that ACE2 or TMPRSS2 drive population disparity in COVID risks. BMC Med. 2024 08 26; 22(1):337.
PMID: 39183295
Population descriptors in asthma and allergy research: Time to regroup.
Population descriptors in asthma and allergy research: Time to regroup. J Allergy Clin Immunol. 2024 Jul; 154(1):79-81.
PMID: 38642714
Mexican Biobank advances population and medical genomics of diverse ancestries.
Mexican Biobank advances population and medical genomics of diverse ancestries. Nature. 2023 Oct; 622(7984):775-783.
PMID: 37821706
The design of mapping populations: Impacts of geographic scale on genetic architecture and mapping efficacy for defense and immunity.
The design of mapping populations: Impacts of geographic scale on genetic architecture and mapping efficacy for defense and immunity. Curr Opin Plant Biol. 2023 08; 74:102399.
PMID: 37307746
A rarefaction approach for measuring population differences in rare and common variation.
A rarefaction approach for measuring population differences in rare and common variation. Genetics. 2023 05 26; 224(2).
PMID: 37075098