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Items: 1 to 50 of 214

1.

Narrow-sense heritability estimation of complex traits using identity-by-descent information.

Evans LM, Tahmasbi R, Jones M, Vrieze SI, Abecasis GR, Das S, Bjelland DW, de Candia TR, Yang J, Goddard ME, Visscher PM, Keller MC; Haplotype Reference Consortium.

Heredity (Edinb). 2018 Mar 28. doi: 10.1038/s41437-018-0067-0. [Epub ahead of print]

PMID:
29588506
2.

A multi-trait Bayesian method for mapping QTL and genomic prediction.

Kemper KE, Bowman PJ, Hayes BJ, Visscher PM, Goddard ME.

Genet Sel Evol. 2018 Mar 24;50(1):10. doi: 10.1186/s12711-018-0377-y.

3.

Multibreed genomic prediction using multitrait genomic residual maximum likelihood and multitask Bayesian variable selection.

Calus MPL, Goddard ME, Wientjes YCJ, Bowman PJ, Hayes BJ.

J Dairy Sci. 2018 Mar 14. pii: S0022-0302(18)30227-3. doi: 10.3168/jds.2017-13366. [Epub ahead of print]

PMID:
29550121
4.

Meta-analysis of genome-wide association studies for cattle stature identifies common genes that regulate body size in mammals.

Bouwman AC, Daetwyler HD, Chamberlain AJ, Ponce CH, Sargolzaei M, Schenkel FS, Sahana G, Govignon-Gion A, Boitard S, Dolezal M, Pausch H, Brøndum RF, Bowman PJ, Thomsen B, Guldbrandtsen B, Lund MS, Servin B, Garrick DJ, Reecy J, Vilkki J, Bagnato A, Wang M, Hoff JL, Schnabel RD, Taylor JF, Vinkhuyzen AAE, Panitz F, Bendixen C, Holm LE, Gredler B, Hozé C, Boussaha M, Sanchez MP, Rocha D, Capitan A, Tribout T, Barbat A, Croiseau P, Drögemüller C, Jagannathan V, Vander Jagt C, Crowley JJ, Bieber A, Purfield DC, Berry DP, Emmerling R, Götz KU, Frischknecht M, Russ I, Sölkner J, Van Tassell CP, Fries R, Stothard P, Veerkamp RF, Boichard D, Goddard ME, Hayes BJ.

Nat Genet. 2018 Mar;50(3):362-367. doi: 10.1038/s41588-018-0056-5. Epub 2018 Feb 19.

PMID:
29459679
5.

Gene expression analysis of blood, liver, and muscle in cattle divergently selected for high and low residual feed intake.

Khansefid M, Millen CA, Chen Y, Pryce JE, Chamberlain AJ, Vander Jagt CJ, Gondro C, Goddard ME.

J Anim Sci. 2017 Nov;95(11):4764-4775. doi: 10.2527/jas2016.1320.

PMID:
29293712
6.

Meta-analysis of sequence-based association studies across three cattle breeds reveals 25 QTL for fat and protein percentages in milk at nucleotide resolution.

Pausch H, Emmerling R, Gredler-Grandl B, Fries R, Daetwyler HD, Goddard ME.

BMC Genomics. 2017 Nov 9;18(1):853. doi: 10.1186/s12864-017-4263-8.

7.

Multi-breed genomic prediction using Bayes R with sequence data and dropping variants with a small effect.

van den Berg I, Bowman PJ, MacLeod IM, Hayes BJ, Wang T, Bolormaa S, Goddard ME.

Genet Sel Evol. 2017 Sep 21;49(1):70. doi: 10.1186/s12711-017-0347-9.

8.

Concepts, estimation and interpretation of SNP-based heritability.

Yang J, Zeng J, Goddard ME, Wray NR, Visscher PM.

Nat Genet. 2017 Aug 30;49(9):1304-1310. doi: 10.1038/ng.3941.

PMID:
28854176
9.

Genome-wide comparative analyses of correlated and uncorrelated phenotypes identify major pleiotropic variants in dairy cattle.

Xiang R, MacLeod IM, Bolormaa S, Goddard ME.

Sci Rep. 2017 Aug 23;7(1):9248. doi: 10.1038/s41598-017-09788-9.

10.

Multiple-trait QTL mapping and genomic prediction for wool traits in sheep.

Bolormaa S, Swan AA, Brown DJ, Hatcher S, Moghaddar N, van der Werf JH, Goddard ME, Daetwyler HD.

Genet Sel Evol. 2017 Aug 15;49(1):62. doi: 10.1186/s12711-017-0337-y.

11.

Application of a Bayesian non-linear model hybrid scheme to sequence data for genomic prediction and QTL mapping.

Wang T, Chen YP, MacLeod IM, Pryce JE, Goddard ME, Hayes BJ.

BMC Genomics. 2017 Aug 15;18(1):618. doi: 10.1186/s12864-017-4030-x.

12.

Can we make genomic selection 100% accurate?

Goddard ME.

J Anim Breed Genet. 2017 Aug;134(4):287-288. doi: 10.1111/jbg.12281. No abstract available.

PMID:
28699266
13.

Interferon Regulatory Factor 5 Controls Necrotic Core Formation in Atherosclerotic Lesions by Impairing Efferocytosis.

Seneviratne AN, Edsfeldt A, Cole JE, Kassiteridi C, Swart M, Park I, Green P, Khoyratty T, Saliba D, Goddard ME, Sansom SN, Goncalves I, Krams R, Udalova IA, Monaco C.

Circulation. 2017 Sep 19;136(12):1140-1154. doi: 10.1161/CIRCULATIONAHA.117.027844. Epub 2017 Jul 11.

14.

Evaluation of the accuracy of imputed sequence variant genotypes and their utility for causal variant detection in cattle.

Pausch H, MacLeod IM, Fries R, Emmerling R, Bowman PJ, Daetwyler HD, Goddard ME.

Genet Sel Evol. 2017 Feb 21;49(1):24. doi: 10.1186/s12711-017-0301-x.

15.

Using information of relatives in genomic prediction to apply effective stratified medicine.

Lee SH, Weerasinghe WM, Wray NR, Goddard ME, van der Werf JH.

Sci Rep. 2017 Feb 9;7:42091. doi: 10.1038/srep42091.

16.

Including nonadditive genetic effects in mating programs to maximize dairy farm profitability.

Aliloo H, Pryce JE, González-Recio O, Cocks BG, Goddard ME, Hayes BJ.

J Dairy Sci. 2017 Feb;100(2):1203-1222. doi: 10.3168/jds.2016-11261. Epub 2016 Dec 9.

17.

Leveraging genetically simple traits to identify small-effect variants for complex phenotypes.

Kemper KE, Littlejohn MD, Lopdell T, Hayes BJ, Bennett LE, Williams RP, Xu XQ, Visscher PM, Carrick MJ, Goddard ME.

BMC Genomics. 2016 Nov 3;17(1):858.

18.
19.

GCTA-GREML accounts for linkage disequilibrium when estimating genetic variance from genome-wide SNPs.

Yang J, Lee SH, Wray NR, Goddard ME, Visscher PM.

Proc Natl Acad Sci U S A. 2016 Aug 9;113(32):E4579-80. doi: 10.1073/pnas.1602743113. Epub 2016 Jul 25. No abstract available.

20.

Genetics of complex traits: prediction of phenotype, identification of causal polymorphisms and genetic architecture.

Goddard ME, Kemper KE, MacLeod IM, Chamberlain AJ, Hayes BJ.

Proc Biol Sci. 2016 Jul 27;283(1835). pii: 20160569. doi: 10.1098/rspb.2016.0569. Review.

21.

Copy number variants in the sheep genome detected using multiple approaches.

Jenkins GM, Goddard ME, Black MA, Brauning R, Auvray B, Dodds KG, Kijas JW, Cockett N, McEwan JC.

BMC Genomics. 2016 Jun 8;17:441. doi: 10.1186/s12864-016-2754-7.

22.

Prediction of non-muscle invasive bladder cancer outcomes assessed by innovative multimarker prognostic models.

López de Maturana E, Picornell A, Masson-Lecomte A, Kogevinas M, Márquez M, Carrato A, Tardón A, Lloreta J, García-Closas M, Silverman D, Rothman N, Chanock S, Real FX, Goddard ME, Malats N; SBC/EPICURO Study Investigators.

BMC Cancer. 2016 Jun 3;16:351. doi: 10.1186/s12885-016-2361-7.

23.

Risk of psychiatric illness from advanced paternal age is not predominantly from de novo mutations.

Gratten J, Wray NR, Peyrot WJ, McGrath JJ, Visscher PM, Goddard ME.

Nat Genet. 2016 Jul;48(7):718-24. doi: 10.1038/ng.3577. Epub 2016 May 23.

PMID:
27213288
24.

Inflammatory-Related Genetic Variants in Non-Muscle-Invasive Bladder Cancer Prognosis: A Multimarker Bayesian Assessment.

Masson-Lecomte A, López de Maturana E, Goddard ME, Picornell A, Rava M, González-Neira A, Márquez M, Carrato A, Tardon A, Lloreta J, Garcia-Closas M, Silverman D, Rothman N, Kogevinas M, Allory Y, Chanock SJ, Real FX, Malats N; SBC/EPICURO Study Investigators.

Cancer Epidemiol Biomarkers Prev. 2016 Jul;25(7):1144-50. doi: 10.1158/1055-9965.EPI-15-0894. Epub 2016 May 6.

25.

Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets.

Zhu Z, Zhang F, Hu H, Bakshi A, Robinson MR, Powell JE, Montgomery GW, Goddard ME, Wray NR, Visscher PM, Yang J.

Nat Genet. 2016 May;48(5):481-7. doi: 10.1038/ng.3538. Epub 2016 Mar 28.

PMID:
27019110
26.

Detailed phenotyping identifies genes with pleiotropic effects on body composition.

Bolormaa S, Hayes BJ, van der Werf JH, Pethick D, Goddard ME, Daetwyler HD.

BMC Genomics. 2016 Mar 12;17:224. doi: 10.1186/s12864-016-2538-0.

27.

Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits.

MacLeod IM, Bowman PJ, Vander Jagt CJ, Haile-Mariam M, Kemper KE, Chamberlain AJ, Schrooten C, Hayes BJ, Goddard ME.

BMC Genomics. 2016 Feb 27;17:144. doi: 10.1186/s12864-016-2443-6.

28.

Technical note: Equivalent genomic models with a residual polygenic effect.

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

J Dairy Sci. 2016 Mar;99(3):2016-2025. doi: 10.3168/jds.2015-10394. Epub 2015 Dec 24.

PMID:
26723117
29.

Rare Variants in Transcript and Potential Regulatory Regions Explain a Small Percentage of the Missing Heritability of Complex Traits in Cattle.

Gonzalez-Recio O, Daetwyler HD, MacLeod IM, Pryce JE, Bowman PJ, Hayes BJ, Goddard ME.

PLoS One. 2015 Dec 7;10(12):e0143945. doi: 10.1371/journal.pone.0143945. eCollection 2015.

30.

Targeted imputation of sequence variants and gene expression profiling identifies twelve candidate genes associated with lactation volume, composition and calving interval in dairy cattle.

Raven LA, Cocks BG, Kemper KE, Chamberlain AJ, Vander Jagt CJ, Goddard ME, Hayes BJ.

Mamm Genome. 2016 Feb;27(1-2):81-97. doi: 10.1007/s00335-015-9613-8. Epub 2015 Nov 27.

PMID:
26613780
31.

Extensive variation between tissues in allele specific expression in an outbred mammal.

Chamberlain AJ, Vander Jagt CJ, Hayes BJ, Khansefid M, Marett LC, Millen CA, Nguyen TT, Goddard ME.

BMC Genomics. 2015 Nov 23;16:993. doi: 10.1186/s12864-015-2174-0.

32.

Two-Variance-Component Model Improves Genetic Prediction in Family Datasets.

Tucker G, Loh PR, MacLeod IM, Hayes BJ, Goddard ME, Berger B, Price AL.

Am J Hum Genet. 2015 Nov 5;97(5):677-90. doi: 10.1016/j.ajhg.2015.10.002.

33.

Low shear stress induces M1 macrophage polarization in murine thin-cap atherosclerotic plaques.

Seneviratne AN, Cole JE, Goddard ME, Park I, Mohri Z, Sansom S, Udalova I, Krams R, Monaco C.

J Mol Cell Cardiol. 2015 Dec;89(Pt B):168-72. doi: 10.1016/j.yjmcc.2015.10.034. Epub 2015 Oct 30. Erratum in: J Mol Cell Cardiol. 2016 Feb;91:10.

PMID:
26523517
34.

Indoleamine 2,3-dioxygenase-1 is protective in atherosclerosis and its metabolites provide new opportunities for drug development.

Cole JE, Astola N, Cribbs AP, Goddard ME, Park I, Green P, Davies AH, Williams RO, Feldmann M, Monaco C.

Proc Natl Acad Sci U S A. 2015 Oct 20;112(42):13033-8. doi: 10.1073/pnas.1517820112. Epub 2015 Oct 5.

35.

Population genetic differentiation of height and body mass index across Europe.

Robinson MR, Hemani G, Medina-Gomez C, Mezzavilla M, Esko T, Shakhbazov K, Powell JE, Vinkhuyzen A, Berndt SI, Gustafsson S, Justice AE, Kahali B, Locke AE, Pers TH, Vedantam S, Wood AR, van Rheenen W, Andreassen OA, Gasparini P, Metspalu A, Berg LH, Veldink JH, Rivadeneira F, Werge TM, Abecasis GR, Boomsma DI, Chasman DI, de Geus EJ, Frayling TM, Hirschhorn JN, Hottenga JJ, Ingelsson E, Loos RJ, Magnusson PK, Martin NG, Montgomery GW, North KE, Pedersen NL, Spector TD, Speliotes EK, Goddard ME, Yang J, Visscher PM.

Nat Genet. 2015 Nov;47(11):1357-62. doi: 10.1038/ng.3401. Epub 2015 Sep 14.

36.

Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index.

Yang J, Bakshi A, Zhu Z, Hemani G, Vinkhuyzen AA, Lee SH, Robinson MR, Perry JR, Nolte IM, van Vliet-Ostaptchouk JV, Snieder H; LifeLines Cohort Study, Esko T, Milani L, Mägi R, Metspalu A, Hamsten A, Magnusson PK, Pedersen NL, Ingelsson E, Soranzo N, Keller MC, Wray NR, Goddard ME, Visscher PM.

Nat Genet. 2015 Oct;47(10):1114-20. doi: 10.1038/ng.3390. Epub 2015 Aug 31.

37.

Hot topic: Definition and implementation of a breeding value for feed efficiency in dairy cows.

Pryce JE, Gonzalez-Recio O, Nieuwhof G, Wales WJ, Coffey MP, Hayes BJ, Goddard ME.

J Dairy Sci. 2015 Oct;98(10):7340-50. doi: 10.3168/jds.2015-9621. Epub 2015 Aug 5.

PMID:
26254533
38.

B regulatory cells are increased in hypercholesterolaemic mice and protect from lesion development via IL-10.

Strom AC, Cross AJ, Cole JE, Blair PA, Leib C, Goddard ME, Rosser EC, Park I, Hultgårdh Nilsson A, Nilsson J, Mauri C, Monaco C.

Thromb Haemost. 2015 Oct;114(4):835-47. doi: 10.1160/TH14-12-1084. Epub 2015 Jun 11.

PMID:
26063196
39.

Impact of QTL properties on the accuracy of multi-breed genomic prediction.

Wientjes YC, Calus MP, Goddard ME, Hayes BJ.

Genet Sel Evol. 2015 May 8;47:42. doi: 10.1186/s12711-015-0124-6.

40.

A computationally efficient algorithm for genomic prediction using a Bayesian model.

Wang T, Chen YP, Goddard ME, Meuwissen TH, Kemper KE, Hayes BJ.

Genet Sel Evol. 2015 Apr 30;47:34. doi: 10.1186/s12711-014-0082-4.

41.

Mixed model with correction for case-control ascertainment increases association power.

Hayeck TJ, Zaitlen NA, Loh PR, Vilhjalmsson B, Pollack S, Gusev A, Yang J, Chen GB, Goddard ME, Visscher PM, Patterson N, Price AL.

Am J Hum Genet. 2015 May 7;96(5):720-30. doi: 10.1016/j.ajhg.2015.03.004. Epub 2015 Apr 16.

42.

Improved precision of QTL mapping using a nonlinear Bayesian method in a multi-breed population leads to greater accuracy of across-breed genomic predictions.

Kemper KE, Reich CM, Bowman PJ, Vander Jagt CJ, Chamberlain AJ, Mason BA, Hayes BJ, Goddard ME.

Genet Sel Evol. 2015 Apr 17;47:29. doi: 10.1186/s12711-014-0074-4.

43.

Non-additive genetic variation in growth, carcass and fertility traits of beef cattle.

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

Genet Sel Evol. 2015 Apr 2;47:26. doi: 10.1186/s12711-015-0114-8.

44.

Simultaneous discovery, estimation and prediction analysis of complex traits using a bayesian mixture model.

Moser G, Lee SH, Hayes BJ, Goddard ME, Wray NR, Visscher PM.

PLoS Genet. 2015 Apr 7;11(4):e1004969. doi: 10.1371/journal.pgen.1004969. eCollection 2015 Apr.

45.

How old are quantitative trait loci and how widely do they segregate?

Kemper KE, Hayes BJ, Daetwyler HD, Goddard ME.

J Anim Breed Genet. 2015 Apr;132(2):121-34. doi: 10.1111/jbg.12152.

PMID:
25823838
46.

Gene expression in the mammary gland of the tammar wallaby during the lactation cycle reveals conserved mechanisms regulating mammalian lactation.

Vander Jagt CJ, Whitley JC, Cocks BG, Goddard ME.

Reprod Fertil Dev. 2015 Feb 23. doi: 10.1071/RD14210. [Epub ahead of print]

PMID:
25701950
47.

Dominance genetic variation contributes little to the missing heritability for human complex traits.

Zhu Z, Bakshi A, Vinkhuyzen AA, Hemani G, Lee SH, Nolte IM, van Vliet-Ostaptchouk JV, Snieder H; LifeLines Cohort Study, Esko T, Milani L, Mägi R, Metspalu A, Hill WG, Weir BS, Goddard ME, Visscher PM, Yang J.

Am J Hum Genet. 2015 Mar 5;96(3):377-85. doi: 10.1016/j.ajhg.2015.01.001. Epub 2015 Feb 12.

48.

Genetic studies of body mass index yield new insights for obesity biology.

Locke AE, Kahali B, Berndt SI, Justice AE, Pers TH, Day FR, Powell C, Vedantam S, Buchkovich ML, Yang J, Croteau-Chonka DC, Esko T, Fall T, Ferreira T, Gustafsson S, Kutalik Z, Luan J, Mägi R, Randall JC, Winkler TW, Wood AR, Workalemahu T, Faul JD, Smith JA, Zhao JH, Zhao W, Chen J, Fehrmann R, Hedman ÅK, Karjalainen J, Schmidt EM, Absher D, Amin N, Anderson D, Beekman M, Bolton JL, Bragg-Gresham JL, Buyske S, Demirkan A, Deng G, Ehret GB, Feenstra B, Feitosa MF, Fischer K, Goel A, Gong J, Jackson AU, Kanoni S, Kleber ME, Kristiansson K, Lim U, Lotay V, Mangino M, Leach IM, Medina-Gomez C, Medland SE, Nalls MA, Palmer CD, Pasko D, Pechlivanis S, Peters MJ, Prokopenko I, Shungin D, Stančáková 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, Isaacs A, Albrecht E, Ärnlöv J, Arscott GM, Attwood AP, Bandinelli S, Barrett A, Bas IN, Bellis C, Bennett AJ, Berne C, Blagieva R, Blüher M, Böhringer S, Bonnycastle LL, Böttcher Y, Boyd HA, Bruinenberg M, Caspersen IH, Chen YI, Clarke R, Daw EW, de Craen AJM, Delgado G, Dimitriou M, Doney ASF, Eklund N, Estrada K, Eury E, Folkersen L, Fraser RM, Garcia ME, Geller F, Giedraitis V, Gigante B, Go AS, Golay A, Goodall AH, Gordon SD, Gorski M, Grabe HJ, Grallert H, Grammer TB, Gräßler J, Grönberg H, Groves CJ, Gusto G, Haessler J, Hall P, Haller T, Hallmans G, Hartman CA, Hassinen M, Hayward C, Heard-Costa NL, Helmer Q, Hengstenberg C, Holmen O, Hottenga JJ, James AL, Jeff JM, Johansson Å, Jolley J, Juliusdottir T, Kinnunen L, Koenig W, Koskenvuo M, Kratzer W, Laitinen J, Lamina C, Leander K, Lee NR, Lichtner P, Lind L, Lindström J, Lo KS, Lobbens S, Lorbeer R, Lu Y, Mach F, Magnusson PKE, Mahajan A, McArdle WL, McLachlan S, Menni C, Merger S, Mihailov E, Milani L, Moayyeri A, Monda KL, Morken MA, Mulas A, Müller G, Müller-Nurasyid M, Musk AW, Nagaraja R, Nöthen MM, Nolte IM, Pilz S, Rayner NW, Renstrom F, Rettig R, Ried JS, Ripke S, Robertson NR, Rose LM, Sanna S, Scharnagl H, Scholtens S, Schumacher FR, Scott WR, Seufferlein T, Shi J, Smith AV, Smolonska J, Stanton AV, Steinthorsdottir V, Stirrups K, Stringham HM, Sundström J, Swertz MA, Swift AJ, Syvänen AC, Tan ST, Tayo BO, Thorand B, Thorleifsson G, Tyrer JP, Uh HW, Vandenput L, Verhulst FC, Vermeulen SH, Verweij N, Vonk JM, Waite LL, Warren HR, Waterworth D, Weedon MN, Wilkens LR, Willenborg C, Wilsgaard T, Wojczynski MK, Wong A, Wright AF, Zhang Q; LifeLines Cohort Study, Brennan EP, Choi M, Dastani Z, Drong AW, Eriksson P, Franco-Cereceda A, Gådin JR, Gharavi AG, Goddard ME, Handsaker RE, Huang J, Karpe F, Kathiresan S, Keildson S, Kiryluk K, Kubo M, Lee JY, Liang L, Lifton RP, Ma B, McCarroll SA, McKnight AJ, Min JL, Moffatt MF, Montgomery GW, Murabito JM, Nicholson G, Nyholt DR, Okada Y, Perry JRB, Dorajoo R, Reinmaa E, Salem RM, Sandholm N, Scott RA, Stolk L, Takahashi A, Tanaka T, van 't Hooft FM, Vinkhuyzen AAE, Westra HJ, Zheng W, Zondervan KT; ADIPOGen Consortium; AGEN-BMI Working Group; CARDIOGRAMplusC4D Consortium; CKDGen Consortium; GLGC; ICBP; MAGIC Investigators; MuTHER Consortium; MIGen Consortium; PAGE Consortium; ReproGen Consortium; GENIE Consortium; International Endogene Consortium, Heath AC, Arveiler D, Bakker SJL, Beilby J, Bergman RN, Blangero J, Bovet P, Campbell H, Caulfield MJ, Cesana G, Chakravarti A, Chasman DI, Chines PS, Collins FS, Crawford DC, Cupples LA, Cusi D, Danesh J, de Faire U, den Ruijter HM, Dominiczak AF, Erbel R, Erdmann J, Eriksson JG, Farrall M, Felix SB, Ferrannini E, Ferrières J, Ford I, Forouhi NG, Forrester T, Franco OH, Gansevoort RT, Gejman PV, Gieger C, Gottesman O, Gudnason V, Gyllensten U, Hall AS, Harris TB, Hattersley AT, Hicks AA, Hindorff LA, Hingorani AD, Hofman A, Homuth G, Hovingh GK, Humphries SE, Hunt SC, Hyppönen E, Illig T, Jacobs KB, Jarvelin MR, Jöckel KH, Johansen B, Jousilahti P, Jukema JW, Jula AM, Kaprio J, Kastelein JJP, Keinanen-Kiukaanniemi SM, Kiemeney LA, Knekt P, Kooner JS, Kooperberg C, Kovacs P, Kraja AT, Kumari M, Kuusisto J, Lakka TA, Langenberg C, Marchand LL, Lehtimäki T, Lyssenko V, Männistö S, Marette A, Matise TC, McKenzie CA, McKnight B, Moll FL, Morris AD, Morris AP, Murray JC, Nelis M, Ohlsson C, Oldehinkel AJ, Ong KK, Madden PAF, Pasterkamp G, Peden JF, Peters A, Postma DS, Pramstaller PP, Price JF, Qi L, Raitakari OT, Rankinen T, Rao DC, Rice TK, Ridker PM, Rioux JD, Ritchie MD, Rudan I, Salomaa V, Samani NJ, Saramies J, Sarzynski MA, Schunkert H, Schwarz PEH, Sever P, Shuldiner AR, Sinisalo J, Stolk RP, Strauch K, Tönjes A, Trégouët DA, Tremblay A, Tremoli E, Virtamo J, Vohl MC, Völker U, Waeber G, Willemsen G, Witteman JC, Zillikens MC, Adair LS, Amouyel P, Asselbergs FW, Assimes TL, Bochud M, Boehm BO, Boerwinkle E, Bornstein SR, Bottinger EP, Bouchard C, Cauchi S, Chambers JC, Chanock SJ, Cooper RS, de Bakker PIW, Dedoussis G, Ferrucci L, Franks PW, Froguel P, Groop LC, Haiman CA, Hamsten A, Hui J, Hunter DJ, Hveem K, Kaplan RC, Kivimaki M, Kuh D, Laakso M, Liu Y, Martin NG, März W, Melbye M, Metspalu A, Moebus S, Munroe PB, Njølstad I, Oostra BA, Palmer CNA, Pedersen NL, Perola M, Pérusse L, Peters U, Power C, Quertermous T, Rauramaa R, Rivadeneira F, Saaristo TE, Saleheen D, Sattar N, Schadt EE, Schlessinger D, Slagboom PE, Snieder H, Spector TD, Thorsteinsdottir U, Stumvoll M, Tuomilehto J, Uitterlinden AG, Uusitupa M, van der Harst P, Walker M, Wallaschofski H, Wareham NJ, Watkins H, Weir DR, Wichmann HE, Wilson JF, Zanen P, Borecki IB, Deloukas P, Fox CS, Heid IM, O'Connell JR, Strachan DP, Stefansson K, van Duijn CM, Abecasis GR, Franke L, Frayling TM, McCarthy MI, Visscher PM, Scherag A, Willer CJ, Boehnke M, Mohlke KL, Lindgren CM, Beckmann JS, Barroso I, North KE, Ingelsson E, Hirschhorn JN, Loos RJF, Speliotes EK.

Nature. 2015 Feb 12;518(7538):197-206. doi: 10.1038/nature14177.

49.

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.

50.

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;46:71. doi: 10.1186/s12711-014-0071-7.

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