Walker M

References (5)

Title : Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity - Turcot_2018_Nat.Genet_50_26
Author(s) : Turcot V , Lu Y , Highland HM , Schurmann C , Justice AE , Fine RS , Bradfield JP , Esko T , Giri A , Graff M , Guo X , Hendricks AE , Karaderi T , Lempradl A , Locke AE , Mahajan A , Marouli E , Sivapalaratnam S , Young KL , Alfred T , Feitosa MF , Masca NGD , Manning AK , Medina-Gomez C , Mudgal P , Ng MCY , Reiner AP , Vedantam S , Willems SM , Winkler TW , Abecasis G , Aben KK , Alam DS , Alharthi SE , Allison M , Amouyel P , Asselbergs FW , Auer PL , Balkau B , Bang LE , Barroso I , Bastarache L , Benn M , Bergmann S , Bielak LF , Bluher M , Boehnke M , Boeing H , Boerwinkle E , Boger CA , Bork-Jensen J , Bots ML , Bottinger EP , Bowden DW , Brandslund I , Breen G , Brilliant MH , Broer L , Brumat M , Burt AA , Butterworth AS , Campbell PT , Cappellani S , Carey DJ , Catamo E , Caulfield MJ , Chambers JC , Chasman DI , Chen YI , Chowdhury R , Christensen C , Chu AY , Cocca M , Collins FS , Cook JP , Corley J , Corominas Galbany J , Cox AJ , Crosslin DS , Cuellar-Partida G , D'Eustacchio A , Danesh J , Davies G , Bakker PIW , Groot MCH , Mutsert R , Deary IJ , Dedoussis G , Demerath EW , Heijer M , Hollander AI , Ruijter HM , Dennis JG , Denny JC , Angelantonio E , Drenos F , Du M , Dube MP , Dunning AM , Easton DF , Edwards TL , Ellinghaus D , Ellinor PT , Elliott P , Evangelou E , Farmaki AE , Farooqi IS , Faul JD , Fauser S , Feng S , Ferrannini E , Ferrieres J , Florez JC , Ford I , Fornage M , Franco OH , Franke A , Franks PW , Friedrich N , Frikke-Schmidt R , Galesloot TE , Gan W , Gandin I , Gasparini P , Gibson J , Giedraitis V , Gjesing AP , Gordon-Larsen P , Gorski M , Grabe HJ , Grant SFA , Grarup N , Griffiths HL , Grove ML , Gudnason V , Gustafsson S , Haessler J , Hakonarson H , Hammerschlag AR , Hansen T , Harris KM , Harris TB , Hattersley AT , Have CT , Hayward C , He L , Heard-Costa NL , Heath AC , Heid IM , Helgeland O , Hernesniemi J , Hewitt AW , Holmen OL , Hovingh GK , Howson JMM , Hu Y , Huang PL , Huffman JE , Ikram MA , Ingelsson E , Jackson AU , Jansson JH , Jarvik GP , Jensen GB , Jia Y , Johansson S , Jorgensen ME , Jorgensen T , Jukema JW , Kahali B , Kahn RS , Kahonen M , Kamstrup PR , Kanoni S , Kaprio J , Karaleftheri M , Kardia SLR , Karpe F , Kathiresan S , Kee F , Kiemeney LA , Kim E , Kitajima H , Komulainen P , Kooner JS , Kooperberg C , Korhonen T , Kovacs P , Kuivaniemi H , Kutalik Z , Kuulasmaa K , Kuusisto J , Laakso M , Lakka TA , Lamparter D , Lange EM , Lange LA , Langenberg C , Larson EB , Lee NR , Lehtimaki T , Lewis CE , Li H , Li J , Li-Gao R , Lin H , Lin KH , Lin LA , Lin X , Lind L , Lindstrom J , Linneberg A , Liu CT , Liu DJ , Liu Y , Lo KS , Lophatananon A , Lotery AJ , Loukola A , Luan J , Lubitz SA , Lyytikainen LP , Mannisto S , Marenne G , Mazul AL , McCarthy MI , McKean-Cowdin R , Medland SE , Meidtner K , Milani L , Mistry V , Mitchell P , Mohlke KL , Moilanen L , Moitry M , Montgomery GW , Mook-Kanamori DO , Moore C , Mori TA , Morris AD , Morris AP , Muller-Nurasyid M , Munroe PB , Nalls MA , Narisu N , Nelson CP , Neville M , Nielsen SF , Nikus K , Njolstad PR , Nordestgaard BG , Nyholt DR , O'Connel JR , O'Donoghue ML , Olde Loohuis LM , Ophoff RA , Owen KR , Packard CJ , Padmanabhan S , Palmer CNA , Palmer ND , Pasterkamp G , Patel AP , Pattie A , Pedersen O , Peissig PL , Peloso GM , Pennell CE , Perola M , Perry JA , Perry JRB , Pers TH , Person TN , Peters A , Petersen ERB , Peyser PA , Pirie A , Polasek O , Polderman TJ , Puolijoki H , Raitakari OT , Rasheed A , Rauramaa R , Reilly DF , Renstrom F , Rheinberger M , Ridker PM , Rioux JD , Rivas MA , Roberts DJ , Robertson NR , Robino A , Rolandsson O , Rudan I , Ruth KS , Saleheen D , Salomaa V , Samani NJ , Sapkota Y , Sattar N , Schoen RE , Schreiner PJ , Schulze MB , Scott RA , Segura-Lepe MP , Shah SH , Sheu WH , Sim X , Slater AJ , Small KS , Smith AV , Southam L , Spector TD , Speliotes EK , Starr JM , Stefansson K , Steinthorsdottir V , Stirrups KE , Strauch K , Stringham HM , Stumvoll M , Sun L , Surendran P , Swift AJ , Tada H , Tansey KE , Tardif JC , Taylor KD , Teumer A , Thompson DJ , Thorleifsson G , Thorsteinsdottir U , Thuesen BH , Tonjes A , Tromp G , Trompet S , Tsafantakis E , Tuomilehto J , Tybjaerg-Hansen A , Tyrer JP , Uher R , Uitterlinden AG , Uusitupa M , Laan SW , Duijn CM , Leeuwen N , van Setten J , Vanhala M , Varbo A , Varga TV , Varma R , Velez Edwards DR , Vermeulen SH , Veronesi G , Vestergaard H , Vitart V , Vogt TF , Volker U , Vuckovic D , Wagenknecht LE , Walker M , Wallentin L , Wang F , Wang CA , Wang S , Wang Y , Ware EB , Wareham NJ , Warren HR , Waterworth DM , Wessel J , White HD , Willer CJ , Wilson JG , Witte DR , Wood AR , Wu Y , Yaghootkar H , Yao J , Yao P , Yerges-Armstrong LM , Young R , Zeggini E , Zhan X , Zhang W , Zhao JH , Zhao W , Zhou W , Zondervan KT , Rotter JI , Pospisilik JA , Rivadeneira F , Borecki IB , Deloukas P , Frayling TM , Lettre G , North KE , Lindgren CM , Hirschhorn JN , Loos RJF
Ref : Nat Genet , 50 :26 , 2018
Abstract : Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, noncoding variants from which pinpointing causal genes remains challenging. Here we combined data from 718,734 individuals to discover rare and low-frequency (minor allele frequency (MAF) < 5%) coding variants associated with BMI. We identified 14 coding variants in 13 genes, of which 8 variants were in genes (ZBTB7B, ACHE, RAPGEF3, RAB21, ZFHX3, ENTPD6, ZFR2 and ZNF169) newly implicated in human obesity, 2 variants were in genes (MC4R and KSR2) previously observed to be mutated in extreme obesity and 2 variants were in GIPR. The effect sizes of rare variants are ~10 times larger than those of common variants, with the largest effect observed in carriers of an MC4R mutation introducing a stop codon (p.Tyr35Ter, MAF = 0.01%), who weighed ~7 kg more than non-carriers. Pathway analyses based on the variants associated with BMI confirm enrichment of neuronal genes and provide new evidence for adipocyte and energy expenditure biology, widening the potential of genetically supported therapeutic targets in obesity.
ESTHER : Turcot_2018_Nat.Genet_50_26
PubMedSearch : Turcot_2018_Nat.Genet_50_26
PubMedID: 29273807

Title : Comparative genomics of Vibrio cholerae from Haiti, Asia, and Africa - Reimer_2011_Emerg.Infect.Dis_17_2113
Author(s) : Reimer AR , Van Domselaar G , Stroika S , Walker M , Kent H , Tarr C , Talkington D , Rowe L , Olsen-Rasmussen M , Frace M , Sammons S , Dahourou GA , Boncy J , Smith AM , Mabon P , Petkau A , Graham M , Gilmour MW , Gerner-Smidt P
Ref : Emerg Infect Dis , 17 :2113 , 2011
Abstract : Cholera was absent from the island of Hispaniola at least a century before an outbreak that began in Haiti in the fall of 2010. Pulsed-field gel electrophoresis (PFGE) analysis of clinical isolates from the Haiti outbreak and recent global travelers returning to the United States showed indistinguishable PFGE fingerprints. To better explore the genetic ancestry of the Haiti outbreak strain, we acquired 23 whole-genome Vibrio cholerae sequences: 9 isolates obtained in Haiti or the Dominican Republic, 12 PFGE pattern-matched isolates linked to Asia or Africa, and 2 nonmatched outliers from the Western Hemisphere. Phylogenies for whole-genome sequences and core genome single-nucleotide polymorphisms showed that the Haiti outbreak strain is genetically related to strains originating in India and Cameroon. However, because no identical genetic match was found among sequenced contemporary isolates, a definitive genetic origin for the outbreak in Haiti remains speculative.
ESTHER : Reimer_2011_Emerg.Infect.Dis_17_2113
PubMedSearch : Reimer_2011_Emerg.Infect.Dis_17_2113
PubMedID: 22099115
Gene_locus related to this paper: vibch-VC1974 , vibch-y1892

Title : Collaborative meta-analysis of individual participant data from observational studies of Lp-PLA2 and cardiovascular diseases - Ballantyne_2007_Eur.J.Cardiovasc.Prev.Rehabil_14_3
Author(s) : Ballantyne C , Cushman M , Psaty B , Furberg C , Khaw KT , Sandhu M , Oldgren J , Rossi GP , Maiolino G , Cesari M , Lenzini L , James SK , Rimm E , Collins R , Anderson J , Koenig W , Brenner H , Rothenbacher D , Berglund G , Persson M , Berger P , Brilakis E , McConnell JP , Sacco R , Elkind M , Talmud P , Cannon CP , Packard C , Barrett-Connor E , Hofman A , Kardys I , Witteman JC , Criqui M , Corsetti JP , Rainwater DL , Moss AJ , Robins S , Bloomfield H , Collins D , Wassertheil-Smoller S , Ridker P , Danesh J , Gu D , Nelson JJ , Thompson S , Zalewski A , Zariffa N , Di Angelantonio E , Kaptoge S , Thompson A , Walker M , Watson S , Wood A
Ref : Eur J Cardiovasc Prev Rehabil , 14 :3 , 2007
Abstract : BACKGROUND: A large number of observational epidemiological studies have reported generally positive associations between circulating mass and activity levels of lipoprotein-associated phospholipase A2 (Lp-PLA2) and the risk of cardiovascular diseases. Few studies have been large enough to provide reliable estimates in different circumstances, such as in different subgroups (e.g., by age group, sex, or smoking status) or at different Lp-PLA2 levels. Moreover, most published studies have related disease risk only to baseline values of Lp-PLA2 markers (which can lead to substantial underestimation of any risk relationships because of within-person variability over time) and have used different approaches to adjustment for possible confounding factors. OBJECTIVES: By combination of data from individual participants from all relevant observational studies in a systematic 'meta-analysis', with correction for regression dilution (using available data on serial measurements of Lp-PLA2), the Lp-PLA2 Studies Collaboration will aim to characterize more precisely than has previously been possible the strength and shape of the age and sex-specific associations of plasma Lp-PLA2 with coronary heart disease (and, where data are sufficient, with other vascular diseases, such as ischaemic stroke). It will also help to determine to what extent such associations are independent of possible confounding factors and to explore potential sources of heterogeneity among studies, such as those related to assay methods and study design. It is anticipated that the present collaboration will serve as a framework to investigate related questions on Lp-PLA2 and cardiovascular outcomes. METHODS: A central database is being established containing data on circulating Lp-PLA2 values, sex and other potential confounding factors, age at baseline Lp-PLA2 measurement, age at event or at last follow-up, major vascular morbidity and cause-specific mortality. Information about any repeat measurements of Lp-PLA2 and potential confounding factors has been sought to allow adjustment for possible confounding and correction for regression dilution. The analyses will involve age-specific regression models. Synthesis of the available observational studies of Lp-PLA2 will yield information on a total of about 15 000 cardiovascular disease endpoints.
ESTHER : Ballantyne_2007_Eur.J.Cardiovasc.Prev.Rehabil_14_3
PubMedSearch : Ballantyne_2007_Eur.J.Cardiovasc.Prev.Rehabil_14_3
PubMedID: 17301621
Gene_locus related to this paper: human-PLA2G7

Title : Identification of potential diagnostic markers of prostate cancer and prostatic intraepithelial neoplasia using cDNA microarray - Bull_2001_Br.J.Cancer_84_1512
Author(s) : Bull JH , Ellison G , Patel A , Muir G , Walker M , Underwood M , Khan F , Paskins L
Ref : Br J Cancer , 84 :1512 , 2001
Abstract : The identification of novel genes or groups of genes expressed in prostate cancer may allow earlier diagnosis or more accurate staging of the disease. We describe the assembly and use of a 1877-member microarray representing cDNA clones from a range of prostate cancer stages and grades, precursor lesions and normal tissue. Using labelled cDNA from tumour samples obtained from TURP or radical prostatectomy, analysis of expression patterns identified many up-regulated transcripts. Cell lines were found to over-express fewer genes than diseased tissue samples. 17 known genes were found to over-express more than 4-fold in 4 or more cancers out of 15 cancers. Only 2 genes were over-expressed in 6 out of 15 cancers or more, whilst no genes were consistently found to be over-expressed in all cancer samples. Novel prostate cancer associations for several well characterized genes or full length cDNAs were identified, including PLRP1, JM27, human UbcM2, dynein light intermediate chain 2 and human homologue of rat sec61. Novel associations with high-grade PIN include: breast carcinoma fatty acid synthase and cDNA DKFZp434B0335. We shortlist and discuss the most significant over-expressed genes in prostate cancer and PIN, and highlight expression differences between malignant and benign samples.
ESTHER : Bull_2001_Br.J.Cancer_84_1512
PubMedSearch : Bull_2001_Br.J.Cancer_84_1512
PubMedID: 11384102

Title : Sequence and analysis of chromosome 1 of the plant Arabidopsis thaliana - Theologis_2000_Nature_408_816
Author(s) : Theologis A , Ecker JR , Palm CJ , Federspiel NA , Kaul S , White O , Alonso J , Altafi H , Araujo R , Bowman CL , Brooks SY , Buehler E , Chan A , Chao Q , Chen H , Cheuk RF , Chin CW , Chung MK , Conn L , Conway AB , Conway AR , Creasy TH , Dewar K , Dunn P , Etgu P , Feldblyum TV , Feng J , Fong B , Fujii CY , Gill JE , Goldsmith AD , Haas B , Hansen NF , Hughes B , Huizar L , Hunter JL , Jenkins J , Johnson-Hopson C , Khan S , Khaykin E , Kim CJ , Koo HL , Kremenetskaia I , Kurtz DB , Kwan A , Lam B , Langin-Hooper S , Lee A , Lee JM , Lenz CA , Li JH , Li Y , Lin X , Liu SX , Liu ZA , Luros JS , Maiti R , Marziali A , Militscher J , Miranda M , Nguyen M , Nierman WC , Osborne BI , Pai G , Peterson J , Pham PK , Rizzo M , Rooney T , Rowley D , Sakano H , Salzberg SL , Schwartz JR , Shinn P , Southwick AM , Sun H , Tallon LJ , Tambunga G , Toriumi MJ , Town CD , Utterback T , Van Aken S , Vaysberg M , Vysotskaia VS , Walker M , Wu D , Yu G , Fraser CM , Venter JC , Davis RW
Ref : Nature , 408 :816 , 2000
Abstract : The genome of the flowering plant Arabidopsis thaliana has five chromosomes. Here we report the sequence of the largest, chromosome 1, in two contigs of around 14.2 and 14.6 megabases. The contigs extend from the telomeres to the centromeric borders, regions rich in transposons, retrotransposons and repetitive elements such as the 180-base-pair repeat. The chromosome represents 25% of the genome and contains about 6,850 open reading frames, 236 transfer RNAs (tRNAs) and 12 small nuclear RNAs. There are two clusters of tRNA genes at different places on the chromosome. One consists of 27 tRNA(Pro) genes and the other contains 27 tandem repeats of tRNA(Tyr)-tRNA(Tyr)-tRNA(Ser) genes. Chromosome 1 contains about 300 gene families with clustered duplications. There are also many repeat elements, representing 8% of the sequence.
ESTHER : Theologis_2000_Nature_408_816
PubMedSearch : Theologis_2000_Nature_408_816
PubMedID: 11130712
Gene_locus related to this paper: arath-At1g05790 , arath-At1g09280 , arath-At1g09980 , arath-AT1G29120 , arath-AT1G52695 , arath-AT1G66900 , arath-At1g73750 , arath-AT1G73920 , arath-AT1G74640 , arath-AT1G76140 , arath-AT1G78210 , arath-clh1 , arath-F1O17.3 , arath-F1O17.4 , arath-F1O17.5 , arath-F5I6.3 , arath-At1g52700 , arath-F6D8.27 , arath-F6D8.32 , arath-F9L1.44 , arath-F9P14.11 , arath-F12A4.4 , arath-MES11 , arath-F14G24.2 , arath-F14G24.3 , arath-F14I3.4 , arath-F14O10.2 , arath-F16N3.25 , arath-LCAT2 , arath-At1g34340 , arath-MES15 , arath-CXE6 , arath-ICML1 , arath-At1g72620 , arath-LCAT1 , arath-PLA12 , arath-PLA15 , arath-PLA17 , arath-Q8L7S1 , arath-At1g15070 , arath-SCP2 , arath-SCP4 , arath-SCP5 , arath-SCP18 , arath-SCP32 , arath-SCP44 , arath-SCP45 , arath-SCPL6 , arath-F4IE65 , arath-At1g30370 , arath-T6L1.8 , arath-T6L1.20 , arath-T14P4.6 , arath-MES14 , arath-SCP3 , arath-AXR4 , arath-At1g10040 , arath-ZW18 , arath-pae2 , arath-pae1 , arath-a0a1p8awg3