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Results: 1 to 20 of 167

1.

The genetic architecture of climatic adaptation of tropical cattle.

Porto-Neto LR, Reverter A, Prayaga KC, Chan EK, Johnston DJ, Hawken RJ, Fordyce G, Garcia JF, Sonstegard TS, Bolormaa S, Goddard ME, Burrow HM, Henshall JM, Lehnert SA, Barendse W.

PLoS One. 2014 Nov 24;9(11):e113284. doi: 10.1371/journal.pone.0113284. eCollection 2014.

PMID:
25419663
[PubMed - in process]
Free PMC Article
2.

Identification of genomic regions associated with inbreeding depression in Holstein and Jersey dairy cattle.

Pryce JE, Haile-Mariam M, Goddard ME, Hayes BJ.

Genet Sel Evol. 2014 Nov 18;46(1):71. doi: 10.1186/s12711-014-0071-7.

PMID:
25407532
[PubMed - in process]
Free PMC Article
3.

A general unified framework to assess the sampling variance of heritability estimates using pedigree or marker-based relationships.

Visscher PM, Goddard ME.

Genetics. 2015 Jan;199(1):223-32. doi: 10.1534/genetics.114.171017. Epub 2014 Oct 31.

PMID:
25361897
[PubMed - in process]
Free PMC Article
4.

Defining the role of common variation in the genomic and biological architecture of adult human height.

Wood AR, Esko T, Yang J, Vedantam S, Pers TH, Gustafsson S, Chu AY, Estrada K, Luan J, Kutalik Z, Amin N, Buchkovich ML, Croteau-Chonka DC, Day FR, Duan Y, Fall T, Fehrmann R, Ferreira T, Jackson AU, Karjalainen J, Lo KS, Locke AE, Mägi R, Mihailov E, Porcu E, Randall JC, Scherag A, Vinkhuyzen AA, Westra HJ, Winkler TW, Workalemahu T, Zhao JH, Absher D, Albrecht E, Anderson D, Baron J, Beekman M, Demirkan A, Ehret GB, Feenstra B, Feitosa MF, Fischer K, Fraser RM, Goel A, Gong J, Justice AE, Kanoni S, Kleber ME, Kristiansson K, Lim U, Lotay V, Lui JC, Mangino M, Mateo Leach I, Medina-Gomez C, Nalls MA, Nyholt DR, Palmer CD, Pasko D, Pechlivanis S, Prokopenko I, Ried JS, Ripke S, Shungin D, Stancáková A, Strawbridge RJ, Sung YJ, Tanaka T, Teumer A, Trompet S, van der Laan SW, van Setten J, Van Vliet-Ostaptchouk JV, Wang Z, Yengo L, Zhang W, Afzal U, Arnlöv J, Arscott GM, Bandinelli S, Barrett A, Bellis C, Bennett AJ, Berne C, Blüher M, Bolton JL, Böttcher Y, Boyd HA, Bruinenberg M, Buckley BM, Buyske S, Caspersen IH, Chines PS, Clarke R, Claudi-Boehm S, Cooper M, Daw EW, De Jong PA, Deelen J, Delgado G, Denny JC, Dhonukshe-Rutten R, Dimitriou M, Doney AS, Dörr M, Eklund N, Eury E, Folkersen L, Garcia ME, Geller F, Giedraitis V, Go AS, Grallert H, Grammer TB, Gräßler J, Grönberg H, de Groot LC, Groves CJ, Haessler J, Hall P, Haller T, Hallmans G, Hannemann A, Hartman CA, Hassinen M, Hayward C, Heard-Costa NL, Helmer Q, Hemani G, Henders AK, Hillege HL, Hlatky MA, Hoffmann W, Hoffmann P, Holmen O, Houwing-Duistermaat JJ, Illig T, Isaacs A, James AL, Jeff J, Johansen B, Johansson Å, Jolley J, Juliusdottir T, Junttila J, Kho AN, Kinnunen L, Klopp N, Kocher T, Kratzer W, Lichtner P, Lind L, Lindström J, Lobbens S, Lorentzon M, Lu Y, Lyssenko V, Magnusson PK, Mahajan A, Maillard M, McArdle WL, McKenzie CA, McLachlan S, McLaren PJ, Menni C, Merger S, Milani L, Moayyeri A, Monda KL, Morken MA, Müller G, Müller-Nurasyid M, Musk AW, Narisu N, Nauck M, Nolte IM, Nöthen MM, Oozageer L, Pilz S, Rayner NW, Renstrom F, Robertson NR, Rose LM, Roussel R, Sanna S, Scharnagl H, Scholtens S, Schumacher FR, Schunkert H, Scott RA, Sehmi J, Seufferlein T, Shi J, Silventoinen K, Smit JH, Smith AV, Smolonska J, Stanton AV, Stirrups K, Stott DJ, Stringham HM, Sundström J, Swertz MA, Syvänen AC, Tayo BO, Thorleifsson G, Tyrer JP, van Dijk S, van Schoor NM, van der Velde N, van Heemst D, van Oort FV, Vermeulen SH, Verweij N, Vonk JM, Waite LL, Waldenberger M, Wennauer R, Wilkens LR, Willenborg C, Wilsgaard T, Wojczynski MK, Wong A, Wright AF, Zhang Q, Arveiler D, Bakker SJ, Beilby J, Bergman RN, Bergmann S, Biffar R, Blangero J, Boomsma DI, Bornstein SR, Bovet P, Brambilla P, Brown MJ, Campbell H, Caulfield MJ, Chakravarti A, Collins R, Collins FS, Crawford DC, Cupples LA, Danesh J, de Faire U, den Ruijter HM, Erbel R, Erdmann J, Eriksson JG, Farrall M, Ferrannini E, Ferrières J, Ford I, Forouhi NG, Forrester T, Gansevoort RT, Gejman PV, Gieger C, Golay A, Gottesman O, Gudnason V, Gyllensten U, Haas DW, Hall AS, Harris TB, Hattersley AT, Heath AC, Hengstenberg C, Hicks AA, Hindorff LA, Hingorani AD, Hofman A, Hovingh GK, Humphries SE, Hunt SC, Hypponen E, Jacobs KB, Jarvelin MR, Jousilahti P, Jula AM, Kaprio J, Kastelein JJ, Kayser M, Kee F, Keinanen-Kiukaanniemi SM, Kiemeney LA, Kooner JS, Kooperberg C, Koskinen S, Kovacs P, Kraja AT, Kumari M, Kuusisto J, Lakka TA, Langenberg C, Le Marchand L, Lehtimäki T, Lupoli S, Madden PA, Männistö S, Manunta P, Marette A, Matise TC, McKnight B, Meitinger T, Moll FL, Montgomery GW, Morris AD, Morris AP, Murray JC, Nelis M, Ohlsson C, Oldehinkel AJ, Ong KK, Ouwehand WH, Pasterkamp G, Peters A, Pramstaller PP, Price JF, Qi L, Raitakari OT, Rankinen T, Rao DC, Rice TK, Ritchie M, Rudan I, Salomaa V, Samani NJ, Saramies J, Sarzynski MA, Schwarz PE, Sebert S, Sever P, Shuldiner AR, Sinisalo J, Steinthorsdottir V, Stolk RP, Tardif JC, Tönjes A, Tremblay A, Tremoli E, Virtamo J, Vohl MC; Electronic Medical Records and Genomics (eMEMERGEGE) Consortium; MIGen Consortium; PAGEGE Consortium; LifeLines Cohort Study, Amouyel P, Asselbergs FW, Assimes TL, Bochud M, Boehm BO, Boerwinkle E, Bottinger EP, Bouchard C, Cauchi S, Chambers JC, Chanock SJ, Cooper RS, de Bakker PI, Dedoussis G, Ferrucci L, Franks PW, Froguel P, Groop LC, Haiman CA, Hamsten A, Hayes MG, Hui J, Hunter DJ, Hveem K, Jukema JW, Kaplan RC, Kivimaki M, Kuh D, Laakso M, Liu Y, Martin NG, März W, Melbye M, Moebus S, Munroe PB, Njølstad I, Oostra BA, Palmer CN, Pedersen NL, Perola M, Pérusse L, Peters U, Powell JE, Power C, Quertermous T, Rauramaa R, Reinmaa E, Ridker PM, Rivadeneira F, Rotter JI, Saaristo TE, Saleheen D, Schlessinger D, Slagboom PE, Snieder H, Spector TD, Strauch K, Stumvoll M, Tuomilehto J, Uusitupa M, van der Harst P, Völzke H, Walker M, Wareham NJ, Watkins H, Wichmann HE, Wilson JF, Zanen P, Deloukas P, Heid IM, Lindgren CM, Mohlke KL, Speliotes EK, Thorsteinsdottir U, Barroso I, Fox CS, North KE, Strachan DP, Beckmann JS, Berndt SI, Boehnke M, Borecki IB, McCarthy MI, Metspalu A, Stefansson K, Uitterlinden AG, van Duijn CM, Franke L, Willer CJ, Price AL, Lettre G, Loos RJ, Weedon MN, Ingelsson E, O'Connell JR, Abecasis GR, Chasman DI, Goddard ME, Visscher PM, Hirschhorn JN, Frayling TM.

Nat Genet. 2014 Nov;46(11):1173-86. doi: 10.1038/ng.3097. Epub 2014 Oct 5.

PMID:
25282103
[PubMed - indexed for MEDLINE]
5.

The effects of demography and long-term selection on the accuracy of genomic prediction with sequence data.

MacLeod IM, Hayes BJ, Goddard ME.

Genetics. 2014 Dec;198(4):1671-84. doi: 10.1534/genetics.114.168344. Epub 2014 Sep 18.

PMID:
25233989
[PubMed - in process]
6.

The use of epigenetic phenomena for the improvement of sheep and cattle.

Goddard ME, Whitelaw E.

Front Genet. 2014 Aug 21;5:247. doi: 10.3389/fgene.2014.00247. eCollection 2014. Review.

PMID:
25191337
[PubMed]
Free PMC Article
7.

Estimation of genomic breeding values for residual feed intake in a multibreed cattle population.

Khansefid M, Pryce JE, Bolormaa S, Miller SP, Wang Z, Li C, Goddard ME.

J Anim Sci. 2014 Aug;92(8):3270-83. doi: 10.2527/jas.2014-7375.

PMID:
25074450
[PubMed - in process]
8.

A single-step genomic model with direct estimation of marker effects.

Liu Z, Goddard ME, Reinhardt F, Reents R.

J Dairy Sci. 2014 Sep;97(9):5833-50. doi: 10.3168/jds.2014-7924. Epub 2014 Jul 11.

PMID:
25022678
[PubMed - in process]
Free Article
9.

Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle.

Daetwyler HD, Capitan A, Pausch H, Stothard P, van Binsbergen R, Brøndum RF, Liao X, Djari A, Rodriguez SC, Grohs C, Esquerré D, Bouchez O, Rossignol MN, Klopp C, Rocha D, Fritz S, Eggen A, Bowman PJ, Coote D, Chamberlain AJ, Anderson C, VanTassell CP, Hulsegge I, Goddard ME, Guldbrandtsen B, Lund MS, Veerkamp RF, Boichard DA, Fries R, Hayes BJ.

Nat Genet. 2014 Aug;46(8):858-65. doi: 10.1038/ng.3034. Epub 2014 Jul 13.

PMID:
25017103
[PubMed - indexed for MEDLINE]
10.

Title: Estimation of genomic breeding values for residual feed intake in a multi-breed cattle population.

Khansefid M, Pryce JE, Bolormaa S, Miller SP, Wang Z, Li C, Goddard ME.

J Anim Sci. 2014 Jul 10. pii: jas.2013-7375. [Epub ahead of print]

PMID:
25012976
[PubMed - as supplied by publisher]
11.

Next generation modeling in GWAS: comparing different genetic architectures.

López de Maturana E, Ibáñez-Escriche N, González-Recio Ó, Marenne G, Mehrban H, Chanock SJ, Goddard ME, Malats N.

Hum Genet. 2014 Oct;133(10):1235-53. doi: 10.1007/s00439-014-1461-1. Epub 2014 Jun 17.

PMID:
24934831
[PubMed - indexed for MEDLINE]
12.

Genetic variants in mammary development, prolactin signalling and involution pathways explain considerable variation in bovine milk production and milk composition.

Raven LA, Cocks BG, Goddard ME, Pryce JE, Hayes BJ.

Genet Sel Evol. 2014 Apr 29;46:29. doi: 10.1186/1297-9686-46-29.

PMID:
24779965
[PubMed - indexed for MEDLINE]
Free PMC Article
13.

A marker-derived gene network reveals the regulatory role of PPARGC1A, HNF4G, and FOXP3 in intramuscular fat deposition of beef cattle.

Ramayo-Caldas Y, Fortes MR, Hudson NJ, Porto-Neto LR, Bolormaa S, Barendse W, Kelly M, Moore SS, Goddard ME, Lehnert SA, Reverter A.

J Anim Sci. 2014 Jul;92(7):2832-45. doi: 10.2527/jas.2013-7484. Epub 2014 Apr 28.

PMID:
24778332
[PubMed - in process]
14.

Statistical power to detect genetic (co)variance of complex traits using SNP data in unrelated samples.

Visscher PM, Hemani G, Vinkhuyzen AA, Chen GB, Lee SH, Wray NR, Goddard ME, Yang J.

PLoS Genet. 2014 Apr 10;10(4):e1004269. doi: 10.1371/journal.pgen.1004269. eCollection 2014 Apr.

PMID:
24721987
[PubMed - indexed for MEDLINE]
Free PMC Article
15.

Selection for complex traits leaves little or no classic signatures of selection.

Kemper KE, Saxton SJ, Bolormaa S, Hayes BJ, Goddard ME.

BMC Genomics. 2014 Mar 28;15:246. doi: 10.1186/1471-2164-15-246.

PMID:
24678841
[PubMed - indexed for MEDLINE]
Free PMC Article
16.

A multi-trait, meta-analysis for detecting pleiotropic polymorphisms for stature, fatness and reproduction in beef cattle.

Bolormaa S, Pryce JE, Reverter A, Zhang Y, Barendse W, Kemper K, Tier B, Savin K, Hayes BJ, Goddard ME.

PLoS Genet. 2014 Mar 27;10(3):e1004198. doi: 10.1371/journal.pgen.1004198. eCollection 2014 Mar.

PMID:
24675618
[PubMed - indexed for MEDLINE]
Free PMC Article
17.

Advantages and pitfalls in the application of mixed-model association methods.

Yang J, Zaitlen NA, Goddard ME, Visscher PM, Price AL.

Nat Genet. 2014 Feb;46(2):100-6. doi: 10.1038/ng.2876.

PMID:
24473328
[PubMed - indexed for MEDLINE]
Free PMC Article
18.

Estimation of SNP heritability from dense genotype data.

Lee SH, Yang J, Chen GB, Ripke S, Stahl EA, Hultman CM, Sklar P, Visscher PM, Sullivan PF, Goddard ME, Wray NR.

Am J Hum Genet. 2013 Dec 5;93(6):1151-5. doi: 10.1016/j.ajhg.2013.10.015. No abstract available.

PMID:
24314550
[PubMed - indexed for MEDLINE]
Free PMC Article
19.

Author reply to A commentary on Pitfalls of predicting complex traits from SNPs.

Wray NR, Yang J, Hayes BJ, Price AL, Goddard ME, Visscher PM.

Nat Rev Genet. 2013 Dec;14(12):894. doi: 10.1038/nrg3457-c2. No abstract available.

PMID:
24240515
[PubMed - indexed for MEDLINE]
Free PMC Article
20.

Detection of quantitative trait loci in Bos indicus and Bos taurus cattle using genome-wide association studies.

Bolormaa S, Pryce JE, Kemper KE, Hayes BJ, Zhang Y, Tier B, Barendse W, Reverter A, Goddard ME.

Genet Sel Evol. 2013 Oct 29;45:43. doi: 10.1186/1297-9686-45-43.

PMID:
24168700
[PubMed - indexed for MEDLINE]
Free PMC Article

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