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Kari Branham

Bio: Kari Branham is an academic researcher from University of Michigan. The author has contributed to research in topics: Retinitis pigmentosa & Retinal degeneration. The author has an hindex of 37, co-authored 87 publications receiving 9666 citations.


Papers
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Journal ArticleDOI
Shane A. McCarthy1, Sayantan Das2, Warren W. Kretzschmar3, Olivier Delaneau4, Andrew R. Wood5, Alexander Teumer6, Hyun Min Kang2, Christian Fuchsberger2, Petr Danecek1, Kevin Sharp3, Yang Luo1, C Sidore7, Alan Kwong2, Nicholas J. Timpson8, Seppo Koskinen, Scott I. Vrieze9, Laura J. Scott2, He Zhang2, Anubha Mahajan3, Jan H. Veldink, Ulrike Peters10, Ulrike Peters11, Carlos N. Pato12, Cornelia M. van Duijn13, Christopher E. Gillies2, Ilaria Gandin14, Massimo Mezzavilla, Arthur Gilly1, Massimiliano Cocca14, Michela Traglia, Andrea Angius7, Jeffrey C. Barrett1, D.I. Boomsma15, Kari Branham2, Gerome Breen16, Gerome Breen17, Chad M. Brummett2, Fabio Busonero7, Harry Campbell18, Andrew T. Chan19, Sai Chen2, Emily Y. Chew20, Francis S. Collins20, Laura J Corbin8, George Davey Smith8, George Dedoussis21, Marcus Dörr6, Aliki-Eleni Farmaki21, Luigi Ferrucci20, Lukas Forer22, Ross M. Fraser2, Stacey Gabriel23, Shawn Levy, Leif Groop24, Leif Groop25, Tabitha A. Harrison11, Andrew T. Hattersley5, Oddgeir L. Holmen26, Kristian Hveem26, Matthias Kretzler2, James Lee27, Matt McGue28, Thomas Meitinger29, David Melzer5, Josine L. Min8, Karen L. Mohlke30, John B. Vincent31, Matthias Nauck6, Deborah A. Nickerson10, Aarno Palotie23, Aarno Palotie19, Michele T. Pato12, Nicola Pirastu14, Melvin G. McInnis2, J. Brent Richards32, J. Brent Richards17, Cinzia Sala, Veikko Salomaa, David Schlessinger20, Sebastian Schoenherr22, P. Eline Slagboom33, Kerrin S. Small17, Tim D. Spector17, Dwight Stambolian34, Marcus A. Tuke5, Jaakko Tuomilehto, Leonard H. van den Berg, Wouter van Rheenen, Uwe Völker6, Cisca Wijmenga35, Daniela Toniolo, Eleftheria Zeggini1, Paolo Gasparini14, Matthew G. Sampson2, James F. Wilson18, Timothy M. Frayling5, Paul I.W. de Bakker36, Morris A. Swertz35, Steven A. McCarroll19, Charles Kooperberg11, Annelot M. Dekker, David Altshuler, Cristen J. Willer2, William G. Iacono28, Samuli Ripatti24, Nicole Soranzo27, Nicole Soranzo1, Klaudia Walter1, Anand Swaroop20, Francesco Cucca7, Carl A. Anderson1, Richard M. Myers, Michael Boehnke2, Mark I. McCarthy3, Mark I. McCarthy37, Richard Durbin1, Gonçalo R. Abecasis2, Jonathan Marchini3 
TL;DR: A reference panel of 64,976 human haplotypes at 39,235,157 SNPs constructed using whole-genome sequence data from 20 studies of predominantly European ancestry leads to accurate genotype imputation at minor allele frequencies as low as 0.1% and a large increase in the number of SNPs tested in association studies.
Abstract: We describe a reference panel of 64,976 human haplotypes at 39,235,157 SNPs constructed using whole-genome sequence data from 20 studies of predominantly European ancestry. Using this resource leads to accurate genotype imputation at minor allele frequencies as low as 0.1% and a large increase in the number of SNPs tested in association studies, and it can help to discover and refine causal loci. We describe remote server resources that allow researchers to carry out imputation and phasing consistently and efficiently.

2,149 citations

Shane A. McCarthy, Sayantan Das, Warren W. Kretzschmar, Olivier Delaneau, Andrew R. Wood, Alexander Teumer, Hyun Min Kang, Christian Fuchsberger, Petr Danecek, Kevin Sharp, Yang Luo, Carlo Sidorel, Alan Kwong, Nicholas J. Timpson, Seppo Koskinen, Scott I. Vrieze, Laura J. Scott, He Zhang, Anubha Mahajan, Jan H. Veldink, Ulrike Peters, Carlos N. Pato, Cornelia M. van Duijn, Christopher E. Gillies, Ilaria Gandin, Massimo Mezzavilla, Arthur Gilly, Massimiliano Cocca, Michela Traglia, Andrea Angius, Jeffrey C. Barrett, D.I. Boomsma, Kari Branham, Gerome Breen, Chad M. Brummett, Fabio Busonero, Harry Campbell, Andrew T. Chan, Sai Che, Emily Y. Chew, Francis S. Collins, Laura J Corbin, George Davey Smith, George Dedoussis, Marcus Dörr, Aliki-Eleni Farmaki, Luigi Ferrucci, Lukas Forer, Ross M. Fraser, Stacey Gabriel, Shawn Levy, Leif Groop, Tabitha A. Harrison, Andrew T. Hattersley, Oddgeir L. Holmen, Kristian Hveem, Matthias Kretzler, James Lee, Matt McGue, Thomas Meitinger, David Melzer, Josine L. Min, Karen L. Mohlke, John B. Vincent, Matthias Nauck, Deborah A. Nickerson, Aarno Palotie, Michele T. Pato, Nicola Pirastu, Melvin G. McInnis, J. Brent Richards, Cinzia Sala, Veikko Salomaa, David Schlessinger, Sebastian Schoenherr, P. Eline Slagboom, Kerrin S. Small, Tim D. Spector, Dwight Stambolian, Marcus A. Tuke, Jaakko Tuomilehto, Leonard H. van den Berg, Wouter van Rheenen, Uwe Völker, Cisca Wijmenga, Daniela Toniolo, Eleftheria Zeggini, Paolo Gasparini, Matthew G. Sampson, James F. Wilson, Timothy M. Frayling, Paul I.W. de Bakker, Morris A. Swertz, Steven A. McCarroll, Charles Kooperberg, Annelot M. Dekker, David Altshuler, Cristen J. Willer, William G. Iacono, Samuli Ripatti, Nicole Soranzo, Klaudia Walter, Anand Swaroop, Francesco Cucca, Carl A. Anderson, Richard M. Myers, Michael Boehnke, Mark I. McCarthy, Richard Durbin, Gonçalo R. Abecasis, Jonathan Marchini 
01 Jan 2016
TL;DR: In this article, a reference panel of 64,976 human haplotypes at 39,235,157 SNPs constructed using whole-genome sequence data from 20 studies of predominantly European ancestry is presented.
Abstract: We describe a reference panel of 64,976 human haplotypes at 39,235,157 SNPs constructed using whole-genome sequence data from 20 studies of predominantly European ancestry. Using this resource leads to accurate genotype imputation at minor allele frequencies as low as 0.1% and a large increase in the number of SNPs tested in association studies, and it can help to discover and refine causal loci. We describe remote server resources that allow researchers to carry out imputation and phasing consistently and efficiently.

1,261 citations

Journal ArticleDOI
TL;DR: The results support the hypothesis that rare coding variants can pinpoint causal genes within known genetic loci and illustrate that applying the approach systematically to detect new loci requires extremely large sample sizes.
Abstract: Advanced age-related macular degeneration (AMD) is the leading cause of blindness in the elderly, with limited therapeutic options. Here we report on a study of >12 million variants, including 163,714 directly genotyped, mostly rare, protein-altering variants. Analyzing 16,144 patients and 17,832 controls, we identify 52 independently associated common and rare variants (P < 5 × 10(-8)) distributed across 34 loci. Although wet and dry AMD subtypes exhibit predominantly shared genetics, we identify the first genetic association signal specific to wet AMD, near MMP9 (difference P value = 4.1 × 10(-10)). Very rare coding variants (frequency <0.1%) in CFH, CFI and TIMP3 suggest causal roles for these genes, as does a splice variant in SLC16A8. Our results support the hypothesis that rare coding variants can pinpoint causal genes within known genetic loci and illustrate that applying the approach systematically to detect new loci requires extremely large sample sizes.

1,088 citations

Journal ArticleDOI
Lars G. Fritsche1, Lars G. Fritsche2, Wei Chen3, Wei Chen2  +182 moreInstitutions (60)
TL;DR: A collaborative genome-wide association study, including >17,100 advanced AMD cases and >60,000 controls of European and Asian ancestry, identifies 19 loci associated at P < 5 × 10−8, which show enrichment for genes involved in the regulation of complement activity, lipid metabolism, extracellular matrix remodeling and angiogenesis.
Abstract: Age-related macular degeneration (AMD) is a common cause of blindness in older individuals To accelerate the understanding of AMD biology and help design new therapies, we executed a collaborative genome-wide association study, including >17,100 advanced AMD cases and >60,000 controls of European and Asian ancestry We identified 19 loci associated at P < 5 × 10(-8) These loci show enrichment for genes involved in the regulation of complement activity, lipid metabolism, extracellular matrix remodeling and angiogenesis Our results include seven loci with associations reaching P < 5 × 10(-8) for the first time, near the genes COL8A1-FILIP1L, IER3-DDR1, SLC16A8, TGFBR1, RAD51B, ADAMTS9 and B3GALTL A genetic risk score combining SNP genotypes from all loci showed similar ability to distinguish cases and controls in all samples examined Our findings provide new directions for biological, genetic and therapeutic studies of AMD

745 citations

Journal ArticleDOI
TL;DR: A genome-wide association scan for age-related macular degeneration (AMD) showed that 329 of 331 individuals with the highest-risk genotypes were cases, and 85% of these had advanced AMD, consistent with the hypothesis that HDL metabolism is associated with AMD pathogenesis.
Abstract: We executed a genome-wide association scan for age-related macular degeneration (AMD) in 2,157 cases and 1,150 controls. Our results validate AMD susceptibility loci near CFH (P < 10−75), ARMS2 (P < 10−59), C2/CFB (P < 10−20), C3 (P < 10−9), and CFI (P < 10−6). We compared our top findings with the Tufts/Massachusetts General Hospital genome-wide association study of advanced AMD (821 cases, 1,709 controls) and genotyped 30 promising markers in additional individuals (up to 7,749 cases and 4,625 controls). With these data, we identified a susceptibility locus near TIMP3 (overall P = 1.1 × 10−11), a metalloproteinase involved in degradation of the extracellular matrix and previously implicated in early-onset maculopathy. In addition, our data revealed strong association signals with alleles at two loci (LIPC, P = 1.3 × 10−7; CETP, P = 7.4 × 10−7) that were previously associated with high-density lipoprotein cholesterol (HDL-c) levels in blood. Consistent with the hypothesis that HDL metabolism is associated with AMD pathogenesis, we also observed association with AMD of HDL-c—associated alleles near LPL (P = 3.0 × 10−3) and ABCA1 (P = 5.6 × 10−4). Multilocus analysis including all susceptibility loci showed that 329 of 331 individuals (99%) with the highest-risk genotypes were cases, and 85% of these had advanced AMD. Our studies extend the catalog of AMD associated loci, help identify individuals at high risk of disease, and provide clues about underlying cellular pathways that should eventually lead to new therapies.

498 citations


Cited by
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28 Jul 2005
TL;DR: PfPMP1)与感染红细胞、树突状组胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作�ly.
Abstract: 抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1(PfPMP1)与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员,通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

18,940 citations

Journal ArticleDOI
Adam Auton1, Gonçalo R. Abecasis2, David Altshuler3, Richard Durbin4  +514 moreInstitutions (90)
01 Oct 2015-Nature
TL;DR: The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations, and has reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-generation sequencing, deep exome sequencing, and dense microarray genotyping.
Abstract: The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations. Here we report completion of the project, having reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-genome sequencing, deep exome sequencing, and dense microarray genotyping. We characterized a broad spectrum of genetic variation, in total over 88 million variants (84.7 million single nucleotide polymorphisms (SNPs), 3.6 million short insertions/deletions (indels), and 60,000 structural variants), all phased onto high-quality haplotypes. This resource includes >99% of SNP variants with a frequency of >1% for a variety of ancestries. We describe the distribution of genetic variation across the global sample, and discuss the implications for common disease studies.

12,661 citations

Journal ArticleDOI
Daniel J. Klionsky1, Kotb Abdelmohsen2, Akihisa Abe3, Joynal Abedin4  +2519 moreInstitutions (695)
TL;DR: In this paper, the authors present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macro-autophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes.
Abstract: In 2008 we published the first set of guidelines for standardizing research in autophagy. Since then, research on this topic has continued to accelerate, and many new scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Accordingly, it is important to update these guidelines for monitoring autophagy in different organisms. Various reviews have described the range of assays that have been used for this purpose. Nevertheless, there continues to be confusion regarding acceptable methods to measure autophagy, especially in multicellular eukaryotes. For example, a key point that needs to be emphasized is that there is a difference between measurements that monitor the numbers or volume of autophagic elements (e.g., autophagosomes or autolysosomes) at any stage of the autophagic process versus those that measure flux through the autophagy pathway (i.e., the complete process including the amount and rate of cargo sequestered and degraded). In particular, a block in macroautophagy that results in autophagosome accumulation must be differentiated from stimuli that increase autophagic activity, defined as increased autophagy induction coupled with increased delivery to, and degradation within, lysosomes (in most higher eukaryotes and some protists such as Dictyostelium) or the vacuole (in plants and fungi). In other words, it is especially important that investigators new to the field understand that the appearance of more autophagosomes does not necessarily equate with more autophagy. In fact, in many cases, autophagosomes accumulate because of a block in trafficking to lysosomes without a concomitant change in autophagosome biogenesis, whereas an increase in autolysosomes may reflect a reduction in degradative activity. It is worth emphasizing here that lysosomal digestion is a stage of autophagy and evaluating its competence is a crucial part of the evaluation of autophagic flux, or complete autophagy. Here, we present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macroautophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes. These guidelines are not meant to be a formulaic set of rules, because the appropriate assays depend in part on the question being asked and the system being used. In addition, we emphasize that no individual assay is guaranteed to be the most appropriate one in every situation, and we strongly recommend the use of multiple assays to monitor autophagy. Along these lines, because of the potential for pleiotropic effects due to blocking autophagy through genetic manipulation, it is imperative to target by gene knockout or RNA interference more than one autophagy-related protein. In addition, some individual Atg proteins, or groups of proteins, are involved in other cellular pathways implying that not all Atg proteins can be used as a specific marker for an autophagic process. In these guidelines, we consider these various methods of assessing autophagy and what information can, or cannot, be obtained from them. Finally, by discussing the merits and limits of particular assays, we hope to encourage technical innovation in the field.

5,187 citations

Journal ArticleDOI
11 Oct 2018-Nature
TL;DR: Deep phenotype and genome-wide genetic data from 500,000 individuals from the UK Biobank is described, describing population structure and relatedness in the cohort, and imputation to increase the number of testable variants to 96 million.
Abstract: The UK Biobank project is a prospective cohort study with deep genetic and phenotypic data collected on approximately 500,000 individuals from across the United Kingdom, aged between 40 and 69 at recruitment. The open resource is unique in its size and scope. A rich variety of phenotypic and health-related information is available on each participant, including biological measurements, lifestyle indicators, biomarkers in blood and urine, and imaging of the body and brain. Follow-up information is provided by linking health and medical records. Genome-wide genotype data have been collected on all participants, providing many opportunities for the discovery of new genetic associations and the genetic bases of complex traits. Here we describe the centralized analysis of the genetic data, including genotype quality, properties of population structure and relatedness of the genetic data, and efficient phasing and genotype imputation that increases the number of testable variants to around 96 million. Classical allelic variation at 11 human leukocyte antigen genes was imputed, resulting in the recovery of signals with known associations between human leukocyte antigen alleles and many diseases.

4,489 citations

Journal ArticleDOI
15 Apr 2005-Science
TL;DR: A genome-wide screen for polymorphisms associated with age-related macular degeneration revealed a polymorphism in linkage disequilibrium with the risk allele representing a tyrosine-histidine change at amino acid 402 in the complement factor H gene.
Abstract: Age-related macular degeneration (AMD) is a major cause of blindness in the elderly. We report a genome-wide screen of 96 cases and 50 controls for polymorphisms associated with AMD. Among 116,204 single-nucleotide polymorphisms genotyped, an intronic and common variant in the complement factor H gene ( CFH ) is strongly associated with AMD (nominal P value -7 ). In individuals homozygous for the risk allele, the likelihood of AMD is increased by a factor of 7.4 (95% confidence interval 2.9 to 19). Resequencing revealed a polymorphism in linkage disequilibrium with the risk allele representing a tyrosine-histidine change at amino acid 402. This polymorphism is in a region of CFH that binds heparin and C-reactive protein. The CFH gene is located on chromosome 1 in a region repeatedly linked to AMD in family-based studies.

4,459 citations