Jeff Kidd

Prof. Jeff Kidd

Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109, USA
orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 February 2011 in Nature
Verified
Journal Article
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RMRyan E. Mills
Ryan E. Mills
KWKlaudia Walter
Klaudia Walter
CSChip Stewart
Chip Stewart
RHRobert E. Handsaker
Robert E. Handsaker
KCKen Chen
Ken Chen
JKJan O. Korbel
Jan O. Korbel
Genomic structural variants (SVs) are abundant in humans, differing from other forms of variation in extent, origin and functional impact. Despite progress in SV characterization, the nucleotide resolution architecture of most SVs remains unknown. We constructed a map of unbalanced SVs (that is, copy number variants) based on whole genome DNA sequencing data from 185 human genomes, integrating evidence from complementary SV discovery approaches with extensive experimental validations. Our map encompassed 22,025 deletions and 6,000 additional SVs, including insertions and tandem duplications. Most SVs (53%) were mapped to nucleotide resolution, which facilitated analysing their origin and functional impact. We examined numerous whole and partial gene deletions with a genotyping approach and observed a depletion of gene disruptions amongst high frequency deletions. Furthermore, we observed differences in the size spectra of SVs originating from distinct formation mechanisms, and constructed a map of SV hotspots formed by common mechanisms. Our analytical framework and SV map serves as a resource for sequencing-based association studies.

3 July 2013 in Nature
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Journal Article
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JPJavier Prado-Martinez
Javier Prado-Martinez
PSPeter H. Sudmant
Peter H. Sudmant
JKJeff Kidd
Jeff Kidd
HLHeng Li
Heng Li
JKJoanna Kelley
Joanna Kelley
TMTomas Marques
Tomas Marques
High-coverage sequencing of 79 (wild and captive) individuals representing all six non-human great ape species has identified over 88 million single nucleotide polymorphisms providing insight into ape genetic variation and evolutionary history and enabling comparison with human genetic diversity. In an effort to provide insights into great ape genetic variation, the authors sequence 79 wild- and captive-born individuals from across all six great ape species and seven subspecies. Their data and analyses shed light on population structure and gene flow, inbreeding, inferred dynamics of effective population sizes and the differences in the rate of gene loss among the great apes. This new catalogue of great ape genome diversity provides a valuable resource for evolutionary and conservation studies. Most great ape genetic variation remains uncharacterized1,2; however, its study is critical for understanding population history3,4,5,6, recombination7, selection8 and susceptibility to disease9,10. Here we sequence to high coverage a total of 79 wild- and captive-born individuals representing all six great ape species and seven subspecies and report 88.8 million single nucleotide polymorphisms. Our analysis provides support for genetically distinct populations within each species, signals of gene flow, and the split of common chimpanzees into two distinct groups: Nigeria–Cameroon/western and central/eastern populations. We find extensive inbreeding in almost all wild populations, with eastern gorillas being the most extreme. Inferred effective population sizes have varied radically over time in different lineages and this appears to have a profound effect on the genetic diversity at, or close to, genes in almost all species. We discover and assign 1,982 loss-of-function variants throughout the human and great ape lineages, determining that the rate of gene loss has not been different in the human branch compared to other internal branches in the great ape phylogeny. This comprehensive catalogue of great ape genome diversity provides a framework for understanding evolution and a resource for more effective management of wild and captive great ape populations.

1 May 2008 in Nature
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Journal Article
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JKJeff Kidd
Jeff Kidd
GCGregory M. Cooper
Gregory M. Cooper
WDWilliam F. Donahue
William F. Donahue
HHHillary S. Hayden
Hillary S. Hayden
NSNick Sampas
Nick Sampas
FMF. Kumara Eugene Mastrorosa
F. Kumara Eugene Mastrorosa

30 August 2009 in Nature Genetics
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Journal Article
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CACan Alkan
Can Alkan
JKJeff Kidd
Jeff Kidd
TMTomas Marques
Tomas Marques
GAGozde Aksay
Gozde Aksay
Francesca AntonacciFrancesca Antonacci
Francesca Antonacci
FMF. Kumara Eugene Mastrorosa
F. Kumara Eugene Mastrorosa
Evan Eichler and colleagues have developed an algorithm called mrFAST to map short, next-generation sequence reads across the genome that allows for the accurate prediction of copy-number variation. Despite their importance in gene innovation and phenotypic variation, duplicated regions have remained largely intractable owing to difficulties in accurately resolving their structure, copy number and sequence content. We present an algorithm (mrFAST) to comprehensively map next-generation sequence reads, which allows for the prediction of absolute copy-number variation of duplicated segments and genes. We examine three human genomes and experimentally validate genome-wide copy number differences. We estimate that, on average, 73–87 genes vary in copy number between any two individuals and find that these genic differences overwhelmingly correspond to segmental duplications (odds ratio = 135; P < 2.2 × 10−16). Our method can distinguish between different copies of highly identical genes, providing a more accurate assessment of gene content and insight into functional constraint without the limitations of array-based technology.

1 June 2010 in Cell
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Journal Article
Closed access
CBChristine R. Beck
Christine R. Beck
PCPamela Collier
Pamela Collier
CMCatriona Macfarlane
Catriona Macfarlane
MMMaika Malig
Maika Malig
JKJeff Kidd
Jeff Kidd
JMJohn V. Moran
John V. Moran

26 January 2011 in Nature
Verified
Journal Article
Open access
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DLDevin P. Locke
Devin P. Locke
LHLaDeana W. Hillier
LaDeana W. Hillier
WWWesley C. Warren
Wesley C. Warren
KWKim C. Worley
Kim C. Worley
LNLynne V. Nazareth
Lynne V. Nazareth
RWRichard K. Wilson
Richard K. Wilson
The genome of the Southeast Asian great ape or orang-utan has been sequenced — specifically a draft assembly of a Sumatran female individual and short-read sequence data from five further Sumatran and five Bornean orang-utan, Pongo abelii and Pongo pygmaeus, respectively. Orang-utan species appear to have split around 400,000 years ago, more recent than most previous estimates suggested, resulting in an average Bornean–Sumatran nucleotide identity of 99.68%. Structural evolution of the orang-utan genome seems to have proceeded much more slowly than that of other great apes, including chimpanzees and humans. With both orang-utan species on the endangered list, the authors hope that knowledge of the genome sequence and its variation between populations will provide a valuable resource for conservationists. The genome of the southeast Asian orang-utan has been sequenced. The draft assembly of a Sumatran individual alongside sequence data from five Sumatran and five Bornean orang-utan genomes is presented. The resources and analyses described offer new opportunities in evolutionary genomics, insights into hominid biology, and an extensive database of variation for conservation efforts. ‘Orang-utan’ is derived from a Malay term meaning ‘man of the forest’ and aptly describes the southeast Asian great apes native to Sumatra and Borneo. The orang-utan species, Pongo abelii (Sumatran) and Pongo pygmaeus (Bornean), are the most phylogenetically distant great apes from humans, thereby providing an informative perspective on hominid evolution. Here we present a Sumatran orang-utan draft genome assembly and short read sequence data from five Sumatran and five Bornean orang-utan genomes. Our analyses reveal that, compared to other primates, the orang-utan genome has many unique features. Structural evolution of the orang-utan genome has proceeded much more slowly than other great apes, evidenced by fewer rearrangements, less segmental duplication, a lower rate of gene family turnover and surprisingly quiescent Alu repeats, which have played a major role in restructuring other primate genomes. We also describe a primate polymorphic neocentromere, found in both Pongo species, emphasizing the gradual evolution of orang-utan genome structure. Orang-utans have extremely low energy usage for a eutherian mammal1, far lower than their hominid relatives. Adding their genome to the repertoire of sequenced primates illuminates new signals of positive selection in several pathways including glycolipid metabolism. From the population perspective, both Pongo species are deeply diverse; however, Sumatran individuals possess greater diversity than their Bornean counterparts, and more species-specific variation. Our estimate of Bornean/Sumatran speciation time, 400,000 years ago, is more recent than most previous studies and underscores the complexity of the orang-utan speciation process. Despite a smaller modern census population size, the Sumatran effective population size (Ne) expanded exponentially relative to the ancestral Ne after the split, while Bornean Ne declined over the same period. Overall, the resources and analyses presented here offer new opportunities in evolutionary genomics, insights into hominid biology, and an extensive database of variation for conservation efforts.