Lora Lewis
Baylor College of Medicine
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Publication
Featured researches published by Lora Lewis.
Nature | 2010
David Altshuler; Richard A. Gibbs; Leena Peltonen; Emmanouil T. Dermitzakis; Stephen F. Schaffner; Fuli Yu; Penelope E. Bonnen; de Bakker Pi; Panos Deloukas; Stacey Gabriel; R. Gwilliam; Sarah Hunt; Michael Inouye; Xiaoming Jia; Aarno Palotie; Melissa Parkin; Pamela Whittaker; Kyle Chang; Alicia Hawes; Lora Lewis; Yanru Ren; David A. Wheeler; Donna M. Muzny; C. Barnes; Katayoon Darvishi; Joshua M. Korn; Kristiansson K; Cin-Ty A. Lee; McCarrol Sa; James Nemesh
Despite great progress in identifying genetic variants that influence human disease, most inherited risk remains unexplained. A more complete understanding requires genome-wide studies that fully examine less common alleles in populations with a wide range of ancestry. To inform the design and interpretation of such studies, we genotyped 1.6 million common single nucleotide polymorphisms (SNPs) in 1,184 reference individuals from 11 global populations, and sequenced ten 100-kilobase regions in 692 of these individuals. This integrated data set of common and rare alleles, called ‘HapMap 3’, includes both SNPs and copy number polymorphisms (CNPs). We characterized population-specific differences among low-frequency variants, measured the improvement in imputation accuracy afforded by the larger reference panel, especially in imputing SNPs with a minor allele frequency of ≤5%, and demonstrated the feasibility of imputing newly discovered CNPs and SNPs. This expanded public resource of genome variants in global populations supports deeper interrogation of genomic variation and its role in human disease, and serves as a step towards a high-resolution map of the landscape of human genetic variation.
Nature | 2008
Li Ding; Gad Getz; David A. Wheeler; Elaine R. Mardis; Michael D. McLellan; Kristian Cibulskis; Carrie Sougnez; Heidi Greulich; Donna M. Muzny; Margaret Morgan; Lucinda Fulton; Robert S. Fulton; Qunyuan Zhang; Michael C. Wendl; Michael S. Lawrence; David E. Larson; Ken Chen; David J. Dooling; Aniko Sabo; Alicia Hawes; Hua Shen; Shalini N. Jhangiani; Lora Lewis; Otis Hall; Yiming Zhu; Tittu Mathew; Yanru Ren; Jiqiang Yao; Steven E. Scherer; Kerstin Clerc
Determining the genetic basis of cancer requires comprehensive analyses of large collections of histopathologically well-classified primary tumours. Here we report the results of a collaborative study to discover somatic mutations in 188 human lung adenocarcinomas. DNA sequencing of 623 genes with known or potential relationships to cancer revealed more than 1,000 somatic mutations across the samples. Our analysis identified 26 genes that are mutated at significantly high frequencies and thus are probably involved in carcinogenesis. The frequently mutated genes include tyrosine kinases, among them the EGFR homologue ERBB4; multiple ephrin receptor genes, notably EPHA3; vascular endothelial growth factor receptor KDR; and NTRK genes. These data provide evidence of somatic mutations in primary lung adenocarcinoma for several tumour suppressor genes involved in other cancers—including NF1, APC, RB1 and ATM—and for sequence changes in PTPRD as well as the frequently deleted gene LRP1B. The observed mutational profiles correlate with clinical features, smoking status and DNA repair defects. These results are reinforced by data integration including single nucleotide polymorphism array and gene expression array. Our findings shed further light on several important signalling pathways involved in lung adenocarcinoma, and suggest new molecular targets for treatment.
Nature | 2012
Benjamin M. Neale; Yan Kou; Li Liu; Avi Ma'ayan; Kaitlin E. Samocha; Aniko Sabo; Chiao-Feng Lin; Christine Stevens; Li-San Wang; Vladimir Makarov; Pazi Penchas Polak; Seungtai Yoon; Jared Maguire; Emily L. Crawford; Nicholas G. Campbell; Evan T. Geller; Otto Valladares; Chad Shafer; Han Liu; Tuo Zhao; Guiqing Cai; Jayon Lihm; Ruth Dannenfelser; Omar Jabado; Zuleyma Peralta; Uma Nagaswamy; Donna M. Muzny; Jeffrey G. Reid; Irene Newsham; Yuanqing Wu
Autism spectrum disorders (ASD) are believed to have genetic and environmental origins, yet in only a modest fraction of individuals can specific causes be identified. To identify further genetic risk factors, here we assess the role of de novo mutations in ASD by sequencing the exomes of ASD cases and their parents (n = 175 trios). Fewer than half of the cases (46.3%) carry a missense or nonsense de novo variant, and the overall rate of mutation is only modestly higher than the expected rate. In contrast, the proteins encoded by genes that harboured de novo missense or nonsense mutations showed a higher degree of connectivity among themselves and to previous ASD genes as indexed by protein-protein interaction screens. The small increase in the rate of de novo events, when taken together with the protein interaction results, are consistent with an important but limited role for de novo point mutations in ASD, similar to that documented for de novo copy number variants. Genetic models incorporating these data indicate that most of the observed de novo events are unconnected to ASD; those that do confer risk are distributed across many genes and are incompletely penetrant (that is, not necessarily sufficient for disease). Our results support polygenic models in which spontaneous coding mutations in any of a large number of genes increases risk by 5- to 20-fold. Despite the challenge posed by such models, results from de novo events and a large parallel case–control study provide strong evidence in favour of CHD8 and KATNAL2 as genuine autism risk factors.
Nature Genetics | 2011
Erica E. Davis; Qi Zhang; Qin Liu; Bill H. Diplas; Lisa Davey; Jane Hartley; Corinne Stoetzel; Katarzyna Szymanska; Gokul Ramaswami; Clare V. Logan; Donna M. Muzny; Alice C. Young; David A. Wheeler; Pedro Cruz; Margaret Morgan; Lora Lewis; Praveen F. Cherukuri; Baishali Maskeri; Nancy F. Hansen; James C. Mullikin; Robert W. Blakesley; Gerard G. Bouffard; Gabor Gyapay; Susanne Rieger; Burkhard Tönshoff; Ilse Kern; Neveen A. Soliman; Thomas J. Neuhaus; Kathryn J. Swoboda; Hülya Kayserili
Ciliary dysfunction leads to a broad range of overlapping phenotypes, collectively termed ciliopathies. This grouping is underscored by genetic overlap, where causal genes can also contribute modifier alleles to clinically distinct disorders. Here we show that mutations in TTC21B, which encodes the retrograde intraflagellar transport protein IFT139, cause both isolated nephronophthisis and syndromic Jeune asphyxiating thoracic dystrophy. Moreover, although resequencing of TTC21B in a large, clinically diverse ciliopathy cohort and matched controls showed a similar frequency of rare changes, in vivo and in vitro evaluations showed a significant enrichment of pathogenic alleles in cases (P < 0.003), suggesting that TTC21B contributes pathogenic alleles to ∼5% of ciliopathy cases. Our data illustrate how genetic lesions can be both causally associated with diverse ciliopathies and interact in trans with other disease-causing genes and highlight how saturated resequencing followed by functional analysis of all variants informs the genetic architecture of inherited disorders.
Nature | 2014
Daniel W. Bellott; Jennifer F. Hughes; Helen Skaletsky; Laura G. Brown; Ting-Jan Cho; Natalia Koutseva; Sara Zaghlul; Tina Graves; Susie Rock; Colin Kremitzki; Robert S. Fulton; Shannon Dugan; Yan Ding; Donna Morton; Ziad Khan; Lora Lewis; Christian Buhay; Qiaoyan Wang; Jennifer Watt; Michael Holder; Sandy Lee; Lynne V. Nazareth; Jessica Alföldi; Steve Rozen; Donna M. Muzny; Wesley C. Warren; Richard A. Gibbs; Richard Wilson; David C. Page
The human X and Y chromosomes evolved from an ordinary pair of autosomes, but millions of years ago genetic decay ravaged the Y chromosome, and only three per cent of its ancestral genes survived. We reconstructed the evolution of the Y chromosome across eight mammals to identify biases in gene content and the selective pressures that preserved the surviving ancestral genes. Our findings indicate that survival was nonrandom, and in two cases, convergent across placental and marsupial mammals. We conclude that the gene content of the Y chromosome became specialized through selection to maintain the ancestral dosage of homologous X–Y gene pairs that function as broadly expressed regulators of transcription, translation and protein stability. We propose that beyond its roles in testis determination and spermatogenesis, the Y chromosome is essential for male viability, and has unappreciated roles in Turner’s syndrome and in phenotypic differences between the sexes in health and disease.
Nature Genetics | 2009
Hemant Khanna; Erica E. Davis; Carlos A. Murga-Zamalloa; Alejandro Estrada-Cuzcano; Irma Lopez; Anneke I. den Hollander; Marijke N Zonneveld; Mohammad Othman; Naushin Waseem; Christina Chakarova; Cecilia Maubaret; Anna Diaz-Font; Ian M. MacDonald; Donna M. Muzny; David A. Wheeler; Margaret Morgan; Lora Lewis; Clare V. Logan; Perciliz L. Tan; Michael Beer; Chris F. Inglehearn; Richard Alan Lewis; Samuel G. Jacobson; Carsten Bergmann; Philip L. Beales; Tania Attié-Bitach; Colin A. Johnson; Edgar A. Otto; Shomi S. Bhattacharya; Friedhelm Hildebrandt
Despite rapid advances in the identification of genes involved in disease, the predictive power of the genotype remains limited, in part owing to poorly understood effects of second-site modifiers. Here we demonstrate that a polymorphic coding variant of RPGRIP1L (retinitis pigmentosa GTPase regulator-interacting protein-1 like), a ciliary gene mutated in Meckel-Gruber (MKS) and Joubert (JBTS) syndromes, is associated with the development of retinal degeneration in individuals with ciliopathies caused by mutations in other genes. As part of our resequencing efforts of the ciliary proteome, we identified several putative loss-of-function RPGRIP1L mutations, including one common variant, A229T. Multiple genetic lines of evidence showed this allele to be associated with photoreceptor loss in ciliopathies. Moreover, we show that RPGRIP1L interacts biochemically with RPGR, loss of which causes retinal degeneration, and that the Thr229-encoded protein significantly compromises this interaction. Our data represent an example of modification of a discrete phenotype of syndromic disease and highlight the importance of a multifaceted approach for the discovery of modifier alleles of intermediate frequency and effect.
Genome Research | 2014
Wen Huang; Andreas Massouras; Yutaka Inoue; Jason A. Peiffer; Miquel Ràmia; Aaron M. Tarone; Lavanya Turlapati; Thomas Zichner; Dianhui Zhu; Richard F. Lyman; Michael M. Magwire; Kerstin P. Blankenburg; Mary Anna Carbone; Kyle Chang; Lisa L. Ellis; Sonia Fernandez; Yi Han; Gareth Highnam; Carl E. Hjelmen; John Jack; Mehwish Javaid; Joy Jayaseelan; Divya Kalra; Sandy Lee; Lora Lewis; Mala Munidasa; Fiona Ongeri; Shohba Patel; Lora Perales; Agapito Perez
The Drosophila melanogaster Genetic Reference Panel (DGRP) is a community resource of 205 sequenced inbred lines, derived to improve our understanding of the effects of naturally occurring genetic variation on molecular and organismal phenotypes. We used an integrated genotyping strategy to identify 4,853,802 single nucleotide polymorphisms (SNPs) and 1,296,080 non-SNP variants. Our molecular population genomic analyses show higher deletion than insertion mutation rates and stronger purifying selection on deletions. Weaker selection on insertions than deletions is consistent with our observed distribution of genome size determined by flow cytometry, which is skewed toward larger genomes. Insertion/deletion and single nucleotide polymorphisms are positively correlated with each other and with local recombination, suggesting that their nonrandom distributions are due to hitchhiking and background selection. Our cytogenetic analysis identified 16 polymorphic inversions in the DGRP. Common inverted and standard karyotypes are genetically divergent and account for most of the variation in relatedness among the DGRP lines. Intriguingly, variation in genome size and many quantitative traits are significantly associated with inversions. Approximately 50% of the DGRP lines are infected with Wolbachia, and four lines have germline insertions of Wolbachia sequences, but effects of Wolbachia infection on quantitative traits are rarely significant. The DGRP complements ongoing efforts to functionally annotate the Drosophila genome. Indeed, 15% of all D. melanogaster genes segregate for potentially damaged proteins in the DGRP, and genome-wide analyses of quantitative traits identify novel candidate genes. The DGRP lines, sequence data, genotypes, quality scores, phenotypes, and analysis and visualization tools are publicly available.
Nature Communications | 2010
Alex Coventry; Lara M. Bull-Otterson; Xiaoming Liu; Andrew G. Clark; Taylor J. Maxwell; Jacy R. Crosby; James E. Hixson; Thomas J. Rea; Donna M. Muzny; Lora Lewis; David A. Wheeler; Aniko Sabo; Christine M. Lusk; Kenneth G. Weiss; Humeira Akbar; Andrew Cree; Alicia Hawes; Irene Newsham; Robin Varghese; Donna Villasana; Shannon Gross; Vandita Joshi; Jireh Santibanez; Margaret Morgan; Kyle Chang; Walker Hale; Alan R. Templeton; Eric Boerwinkle; Richard A. Gibbs; Charles F. Sing
Accurately determining the distribution of rare variants is an important goal of human genetics, but resequencing of a sample large enough for this purpose has been unfeasible until now. Here, we applied Sanger sequencing of genomic PCR amplicons to resequence the diabetes-associated genes KCNJ11 and HHEX in 13,715 people (10,422 European Americans and 3,293 African Americans) and validated amplicons potentially harbouring rare variants using 454 pyrosequencing. We observed far more variation (expected variant-site count ∼578) than would have been predicted on the basis of earlier surveys, which could only capture the distribution of common variants. By comparison with earlier estimates based on common variants, our model shows a clear genetic signal of accelerating population growth, suggesting that humanity harbours a myriad of rare, deleterious variants, and that disease risk and the burden of disease in contemporary populations may be heavily influenced by the distribution of rare variants.
PLOS ONE | 2012
Doyle V. Ward; Dirk Gevers; Georgia Giannoukos; Ashlee M. Earl; Barbara A. Methé; Erica Sodergren; Michael Feldgarden; Dawn Ciulla; Diana Tabbaa; Cesar Arze; Elizabeth L. Appelbaum; Leigh Aird; Scott Anderson; Tulin Ayvaz; Edward A. Belter; Monika Bihan; Toby Bloom; Jonathan Crabtree; Laura Courtney; Lynn K. Carmichael; David J. Dooling; Rachel L. Erlich; Candace N. Farmer; Lucinda Fulton; Robert S. Fulton; Hongyu Gao; John Gill; Brian J. Haas; Lisa Hemphill; Otis Hall
The Human Microbiome Project will establish a reference data set for analysis of the microbiome of healthy adults by surveying multiple body sites from 300 people and generating data from over 12,000 samples. To characterize these samples, the participating sequencing centers evaluated and adopted 16S rDNA community profiling protocols for ABI 3730 and 454 FLX Titanium sequencing. In the course of establishing protocols, we examined the performance and error characteristics of each technology, and the relationship of sequence error to the utility of 16S rDNA regions for classification- and OTU-based analysis of community structure. The data production protocols used for this work are those used by the participating centers to produce 16S rDNA sequence for the Human Microbiome Project. Thus, these results can be informative for interpreting the large body of clinical 16S rDNA data produced for this project.
Neuron | 2013
Elaine T. Lim; Soumya Raychaudhuri; Stephan J. Sanders; Christine Stevens; Aniko Sabo; Daniel G. MacArthur; Benjamin M. Neale; Andrew Kirby; Douglas M. Ruderfer; Menachem Fromer; Monkol Lek; Li Liu; Jason Flannick; Stephan Ripke; Uma Nagaswamy; Donna M. Muzny; Jeffrey G. Reid; Alicia Hawes; Irene Newsham; Yuanqing Wu; Lora Lewis; Huyen Dinh; Shannon Gross; Li-San Wang; Chiao-Feng Lin; Otto Valladares; Stacey Gabriel; Mark A. DePristo; David Altshuler; Shaun Purcell
To characterize the role of rare complete human knockouts in autism spectrum disorders (ASDs), we identify genes with homozygous or compound heterozygous loss-of-function (LoF) variants (defined as nonsense and essential splice sites) from exome sequencing of 933 cases and 869 controls. We identify a 2-fold increase in complete knockouts of autosomal genes with low rates of LoF variation (≤ 5% frequency) in cases and estimate a 3% contribution to ASD risk by these events, confirming this observation in an independent set of 563 probands and 4,605 controls. Outside the pseudoautosomal regions on the X chromosome, we similarly observe a significant 1.5-fold increase in rare hemizygous knockouts in males, contributing to another 2% of ASDs in males. Taken together, these results provide compelling evidence that rare autosomal and X chromosome complete gene knockouts are important inherited risk factors for ASD.