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Items: 1 to 50 of 61

1.

Identifying Genes Whose Mutant Transcripts Cause Dominant Disease Traits by Potential Gain-of-Function Alleles.

Coban-Akdemir Z, White JJ, Song X, Jhangiani SN, Fatih JM, Gambin T, Bayram Y, Chinn IK, Karaca E, Punetha J, Poli C; Baylor-Hopkins Center for Mendelian Genomics, Boerwinkle E, Shaw CA, Orange JS, Gibbs RA, Lappalainen T, Lupski JR, Carvalho CMB.

Am J Hum Genet. 2018 Aug 2;103(2):171-187. doi: 10.1016/j.ajhg.2018.06.009. Epub 2018 Jul 19.

PMID:
30032986
2.

Corrigendum: Landscape of X chromosome inactivation across human tissues.

Tukiainen T, Villani AC, Yen A, Rivas MA, Marshall JL, Satija R, Aguirre M, Gauthier L, Fleharty M, Kirby A, Cummings BB, Castel SE, Karczewski KJ, Aguet F, Byrnes A, Consortium G, Lappalainen T, Regev A, Ardlie KG, Hacohen N, MacArthur DG.

Nature. 2018 Mar 7;555(7695):274. doi: 10.1038/nature25993.

PMID:
29517003
3.

SnapShot: Discovering Genetic Regulatory Variants by QTL Analysis.

Brandt M, Lappalainen T.

Cell. 2017 Nov 2;171(4):980-980.e1. doi: 10.1016/j.cell.2017.10.031. No abstract available.

PMID:
29100076
4.

Landscape of X chromosome inactivation across human tissues.

Tukiainen T, Villani AC, Yen A, Rivas MA, Marshall JL, Satija R, Aguirre M, Gauthier L, Fleharty M, Kirby A, Cummings BB, Castel SE, Karczewski KJ, Aguet F, Byrnes A; GTEx Consortium; Laboratory, Data Analysis &Coordinating Center (LDACC)—Analysis Working Group; Statistical Methods groups—Analysis Working Group; Enhancing GTEx (eGTEx) groups; NIH Common Fund; NIH/NCI; NIH/NHGRI; NIH/NIMH; NIH/NIDA; Biospecimen Collection Source Site—NDRI; Biospecimen Collection Source Site—RPCI; Biospecimen Core Resource—VARI; Brain Bank Repository—University of Miami Brain Endowment Bank; Leidos Biomedical—Project Management; ELSI Study; Genome Browser Data Integration &Visualization—EBI; Genome Browser Data Integration &Visualization—UCSC Genomics Institute, University of California Santa Cruz, Lappalainen T, Regev A, Ardlie KG, Hacohen N, MacArthur DG.

Nature. 2017 Oct 11;550(7675):244-248. doi: 10.1038/nature24265. Erratum in: Nature. 2018 Mar 7;555(7695):274.

5.

Quantifying the regulatory effect size of cis-acting genetic variation using allelic fold change.

Mohammadi P, Castel SE, Brown AA, Lappalainen T.

Genome Res. 2017 Nov;27(11):1872-1884. doi: 10.1101/gr.216747.116. Epub 2017 Oct 11.

6.

Genetic regulatory effects modified by immune activation contribute to autoimmune disease associations.

Kim-Hellmuth S, Bechheim M, Pütz B, Mohammadi P, Nédélec Y, Giangreco N, Becker J, Kaiser V, Fricker N, Beier E, Boor P, Castel SE, Nöthen MM, Barreiro LB, Pickrell JK, Müller-Myhsok B, Lappalainen T, Schumacher J, Hornung V.

Nat Commun. 2017 Aug 16;8(1):266. doi: 10.1038/s41467-017-00366-1.

7.

Associating cellular epigenetic models with human phenotypes.

Lappalainen T, Greally JM.

Nat Rev Genet. 2017 Jul;18(7):441-451. doi: 10.1038/nrg.2017.32. Epub 2017 May 30. Review.

PMID:
28555657
8.

MBV: a method to solve sample mislabeling and detect technical bias in large combined genotype and sequencing assay datasets.

Fort A, Panousis NI, Garieri M, Antonarakis SE, Lappalainen T, Dermitzakis ET, Delaneau O.

Bioinformatics. 2017 Jun 15;33(12):1895-1897. doi: 10.1093/bioinformatics/btx074.

9.

Concerted Genetic Function in Blood Traits.

Kim-Hellmuth S, Lappalainen T.

Cell. 2016 Nov 17;167(5):1167-1169. doi: 10.1016/j.cell.2016.10.055. Review.

10.

Sequence variation between 462 human individuals fine-tunes functional sites of RNA processing.

Ferreira PG, Oti M, Barann M, Wieland T, Ezquina S, Friedländer MR, Rivas MA, Esteve-Codina A; GEUVADIS Consortium, Rosenstiel P, Strom TM, Lappalainen T, Guigó R, Sammeth M.

Sci Rep. 2016 Sep 12;6:32406. doi: 10.1038/srep32406.

11.

Rare variant phasing and haplotypic expression from RNA sequencing with phASER.

Castel SE, Mohammadi P, Chung WK, Shen Y, Lappalainen T.

Nat Commun. 2016 Sep 8;7:12817. doi: 10.1038/ncomms12817.

12.

DNA Methylation Profiling of Uniparental Disomy Subjects Provides a Map of Parental Epigenetic Bias in the Human Genome.

Joshi RS, Garg P, Zaitlen N, Lappalainen T, Watson CT, Azam N, Ho D, Li X, Antonarakis SE, Brunner HG, Buiting K, Cheung SW, Coffee B, Eggermann T, Francis D, Geraedts JP, Gimelli G, Jacobson SG, Le Caignec C, de Leeuw N, Liehr T, Mackay DJ, Montgomery SB, Pagnamenta AT, Papenhausen P, Robinson DO, Ruivenkamp C, Schwartz C, Steiner B, Stevenson DA, Surti U, Wassink T, Sharp AJ.

Am J Hum Genet. 2016 Sep 1;99(3):555-566. doi: 10.1016/j.ajhg.2016.06.032. Epub 2016 Aug 25.

13.

Interfacial Stabilization of Fiber-Laden Foams with Carboxymethylated Lignin toward Strong Nonwoven Networks.

Li S, Xiang W, Järvinen M, Lappalainen T, Salminen K, Rojas OJ.

ACS Appl Mater Interfaces. 2016 Aug 3;8(30):19827-35. doi: 10.1021/acsami.6b06418. Epub 2016 Jul 21.

PMID:
27398988
14.

Preeclampsia does not share common risk alleles in 9p21 with coronary artery disease and type 2 diabetes.

Kaartokallio T, Lokki AI, Peterson H, Kivinen K, Hiltunen L, Salmela E, Lappalainen T, Maanselkä P, Heino S, Knuutila S, Sayed A, Poston L, Brennecke SP, Johnson MP, Morgan L, Moses EK, Kere J, Laivuori H.

Ann Med. 2016 Aug;48(5):330-6. doi: 10.1080/07853890.2016.1174877. Epub 2016 Apr 25.

PMID:
27111527
15.

Voices of biotech.

Amit I, Baker D, Barker R, Berger B, Bertozzi C, Bhatia S, Biffi A, Demichelis F, Doudna J, Dowdy SF, Endy D, Helmstaedter M, Junca H, June C, Kamb S, Khvorova A, Kim DH, Kim JS, Krishnan Y, Lakadamyali M, Lappalainen T, Lewin S, Liao J, Loman N, Lundberg E, Lynd L, Martin C, Mellman I, Miyawaki A, Mummery C, Nelson K, Paz J, Peralta-Yahya P, Picotti P, Polyak K, Prather K, Qin J, Quake S, Regev A, Rogers JA, Shetty R, Sommer M, Stevens M, Stolovitzky G, Takahashi M, Tang F, Teichmann S, Torres-Padilla ME, Tripathi L, Vemula P, Verdine G, Vollmer F, Wang J, Ying JY, Zhang F, Zhang T.

Nat Biotechnol. 2016 Mar;34(3):270-5. doi: 10.1038/nbt.3502. No abstract available.

PMID:
26963549
16.

Functional genomics bridges the gap between quantitative genetics and molecular biology.

Lappalainen T.

Genome Res. 2015 Oct;25(10):1427-31. doi: 10.1101/gr.190983.115.

17.

Tools and best practices for data processing in allelic expression analysis.

Castel SE, Levy-Moonshine A, Mohammadi P, Banks E, Lappalainen T.

Genome Biol. 2015 Sep 17;16:195. doi: 10.1186/s13059-015-0762-6.

18.

From trainee to tenure-track: ten tips.

Lappalainen T.

Genome Biol. 2015 Jun 24;16:132. doi: 10.1186/s13059-015-0691-4. No abstract available.

19.

Human genomics. Effect of predicted protein-truncating genetic variants on the human transcriptome.

Rivas MA, Pirinen M, Conrad DF, Lek M, Tsang EK, Karczewski KJ, Maller JB, Kukurba KR, DeLuca DS, Fromer M, Ferreira PG, Smith KS, Zhang R, Zhao F, Banks E, Poplin R, Ruderfer DM, Purcell SM, Tukiainen T, Minikel EV, Stenson PD, Cooper DN, Huang KH, Sullivan TJ, Nedzel J; GTEx Consortium; Geuvadis Consortium, Bustamante CD, Li JB, Daly MJ, Guigo R, Donnelly P, Ardlie K, Sammeth M, Dermitzakis ET, McCarthy MI, Montgomery SB, Lappalainen T, MacArthur DG.

Science. 2015 May 8;348(6235):666-9. doi: 10.1126/science.1261877.

20.

Human genomics. The human transcriptome across tissues and individuals.

Melé M, Ferreira PG, Reverter F, DeLuca DS, Monlong J, Sammeth M, Young TR, Goldmann JM, Pervouchine DD, Sullivan TJ, Johnson R, Segrè AV, Djebali S, Niarchou A; GTEx Consortium, Wright FA, Lappalainen T, Calvo M, Getz G, Dermitzakis ET, Ardlie KG, Guigó R.

Science. 2015 May 8;348(6235):660-5. doi: 10.1126/science.aaa0355.

21.

The landscape of genomic imprinting across diverse adult human tissues.

Baran Y, Subramaniam M, Biton A, Tukiainen T, Tsang EK, Rivas MA, Pirinen M, Gutierrez-Arcelus M, Smith KS, Kukurba KR, Zhang R, Eng C, Torgerson DG, Urbanek C; GTEx Consortium, Li JB, Rodriguez-Santana JR, Burchard EG, Seibold MA, MacArthur DG, Montgomery SB, Zaitlen NA, Lappalainen T.

Genome Res. 2015 Jul;25(7):927-36. doi: 10.1101/gr.192278.115. Epub 2015 May 7.

22.

Assessing allele-specific expression across multiple tissues from RNA-seq read data.

Pirinen M, Lappalainen T, Zaitlen NA; GTEx Consortium, Dermitzakis ET, Donnelly P, McCarthy MI, Rivas MA.

Bioinformatics. 2015 Aug 1;31(15):2497-504. doi: 10.1093/bioinformatics/btv074. Epub 2015 Mar 27.

23.

Tissue-specific effects of genetic and epigenetic variation on gene regulation and splicing.

Gutierrez-Arcelus M, Ongen H, Lappalainen T, Montgomery SB, Buil A, Yurovsky A, Bryois J, Padioleau I, Romano L, Planchon A, Falconnet E, Bielser D, Gagnebin M, Giger T, Borel C, Letourneau A, Makrythanasis P, Guipponi M, Gehrig C, Antonarakis SE, Dermitzakis ET.

PLoS Genet. 2015 Jan 29;11(1):e1004958. doi: 10.1371/journal.pgen.1004958. eCollection 2015 Jan.

24.

Gene age predicts the strength of purifying selection acting on gene expression variation in humans.

Popadin KY, Gutierrez-Arcelus M, Lappalainen T, Buil A, Steinberg J, Nikolaev SI, Lukowski SW, Bazykin GA, Seplyarskiy VB, Ioannidis P, Zdobnov EM, Dermitzakis ET, Antonarakis SE.

Am J Hum Genet. 2014 Dec 4;95(6):660-74. doi: 10.1016/j.ajhg.2014.11.003.

25.

Gene-gene and gene-environment interactions detected by transcriptome sequence analysis in twins.

Buil A, Brown AA, Lappalainen T, Viñuela A, Davies MN, Zheng HF, Richards JB, Glass D, Small KS, Durbin R, Spector TD, Dermitzakis ET.

Nat Genet. 2015 Jan;47(1):88-91. doi: 10.1038/ng.3162. Epub 2014 Dec 1.

26.

Allelic mapping bias in RNA-sequencing is not a major confounder in eQTL studies.

Panousis NI, Gutierrez-Arcelus M, Dermitzakis ET, Lappalainen T.

Genome Biol. 2014 Sep 20;15(9):467. doi: 10.1186/s13059-014-0467-2.

27.

Tandem RNA chimeras contribute to transcriptome diversity in human population and are associated with intronic genetic variants.

Greger L, Su J, Rung J, Ferreira PG; Geuvadis consortium, Lappalainen T, Dermitzakis ET, Brazma A.

PLoS One. 2014 Aug 18;9(8):e104567. doi: 10.1371/journal.pone.0104567. eCollection 2014.

28.

Transcriptome sequencing from diverse human populations reveals differentiated regulatory architecture.

Martin AR, Costa HA, Lappalainen T, Henn BM, Kidd JM, Yee MC, Grubert F, Cann HM, Snyder M, Montgomery SB, Bustamante CD.

PLoS Genet. 2014 Aug 14;10(8):e1004549. doi: 10.1371/journal.pgen.1004549. eCollection 2014 Aug.

29.

Distribution and medical impact of loss-of-function variants in the Finnish founder population.

Lim ET, Würtz P, Havulinna AS, Palta P, Tukiainen T, Rehnström K, Esko T, Mägi R, Inouye M, Lappalainen T, Chan Y, Salem RM, Lek M, Flannick J, Sim X, Manning A, Ladenvall C, Bumpstead S, Hämäläinen E, Aalto K, Maksimow M, Salmi M, Blankenberg S, Ardissino D, Shah S, Horne B, McPherson R, Hovingh GK, Reilly MP, Watkins H, Goel A, Farrall M, Girelli D, Reiner AP, Stitziel NO, Kathiresan S, Gabriel S, Barrett JC, Lehtimäki T, Laakso M, Groop L, Kaprio J, Perola M, McCarthy MI, Boehnke M, Altshuler DM, Lindgren CM, Hirschhorn JN, Metspalu A, Freimer NB, Zeller T, Jalkanen S, Koskinen S, Raitakari O, Durbin R, MacArthur DG, Salomaa V, Ripatti S, Daly MJ, Palotie A; Sequencing Initiative Suomi (SISu) Project.

PLoS Genet. 2014 Jul 31;10(7):e1004494. doi: 10.1371/journal.pgen.1004494. eCollection 2014 Jul.

30.

A paper-based lateral flow assay for morphine.

Teerinen T, Lappalainen T, Erho T.

Anal Bioanal Chem. 2014 Sep;406(24):5955-65. doi: 10.1007/s00216-014-8001-7. Epub 2014 Jul 15.

PMID:
25023970
31.

Genetic interactions affecting human gene expression identified by variance association mapping.

Brown AA, Buil A, Viñuela A, Lappalainen T, Zheng HF, Richards JB, Small KS, Spector TD, Dermitzakis ET, Durbin R.

Elife. 2014 Apr 25;3:e01381. doi: 10.7554/eLife.01381.

32.

High risk population isolate reveals low frequency variants predisposing to intracranial aneurysms.

Kurki MI, Gaál EI, Kettunen J, Lappalainen T, Menelaou A, Anttila V, van 't Hof FN, von Und Zu Fraunberg M, Helisalmi S, Hiltunen M, Lehto H, Laakso A, Kivisaari R, Koivisto T, Ronkainen A, Rinne J, Kiemeney LA, Vermeulen SH, Kaunisto MA, Eriksson JG, Aromaa A, Perola M, Lehtimäki T, Raitakari OT, Salomaa V, Gunel M, Dermitzakis ET, Ruigrok YM, Rinkel GJ, Niemelä M, Hernesniemi J, Ripatti S, de Bakker PI, Palotie A, Jääskeläinen JE.

PLoS Genet. 2014 Jan 30;10(1):e1004134. doi: 10.1371/journal.pgen.1004134. eCollection 2014 Jan.

33.

Identification and removal of low-complexity sites in allele-specific analysis of ChIP-seq data.

Waszak SM, Kilpinen H, Gschwind AR, Orioli A, Raghav SK, Witwicki RM, Migliavacca E, Yurovsky A, Lappalainen T, Hernandez N, Reymond A, Dermitzakis ET, Deplancke B.

Bioinformatics. 2014 Jan 15;30(2):165-71. doi: 10.1093/bioinformatics/btt667. Epub 2013 Nov 18.

PMID:
24255646
34.

Coordinated effects of sequence variation on DNA binding, chromatin structure, and transcription.

Kilpinen H, Waszak SM, Gschwind AR, Raghav SK, Witwicki RM, Orioli A, Migliavacca E, Wiederkehr M, Gutierrez-Arcelus M, Panousis NI, Yurovsky A, Lappalainen T, Romano-Palumbo L, Planchon A, Bielser D, Bryois J, Padioleau I, Udin G, Thurnheer S, Hacker D, Core LJ, Lis JT, Hernandez N, Reymond A, Deplancke B, Dermitzakis ET.

Science. 2013 Nov 8;342(6159):744-7. doi: 10.1126/science.1242463. Epub 2013 Oct 17.

35.

Integrative annotation of variants from 1092 humans: application to cancer genomics.

Khurana E, Fu Y, Colonna V, Mu XJ, Kang HM, Lappalainen T, Sboner A, Lochovsky L, Chen J, Harmanci A, Das J, Abyzov A, Balasubramanian S, Beal K, Chakravarty D, Challis D, Chen Y, Clarke D, Clarke L, Cunningham F, Evani US, Flicek P, Fragoza R, Garrison E, Gibbs R, Gümüş ZH, Herrero J, Kitabayashi N, Kong Y, Lage K, Liluashvili V, Lipkin SM, MacArthur DG, Marth G, Muzny D, Pers TH, Ritchie GRS, Rosenfeld JA, Sisu C, Wei X, Wilson M, Xue Y, Yu F; 1000 Genomes Project Consortium, Dermitzakis ET, Yu H, Rubin MA, Tyler-Smith C, Gerstein M.

Science. 2013 Oct 4;342(6154):1235587. doi: 10.1126/science.1235587.

36.

Reproducibility of high-throughput mRNA and small RNA sequencing across laboratories.

't Hoen PA, Friedländer MR, Almlöf J, Sammeth M, Pulyakhina I, Anvar SY, Laros JF, Buermans HP, Karlberg O, Brännvall M; GEUVADIS Consortium, den Dunnen JT, van Ommen GJ, Gut IG, Guigó R, Estivill X, Syvänen AC, Dermitzakis ET, Lappalainen T.

Nat Biotechnol. 2013 Nov;31(11):1015-22. doi: 10.1038/nbt.2702. Epub 2013 Sep 15.

PMID:
24037425
37.

Transcriptome and genome sequencing uncovers functional variation in humans.

Lappalainen T, Sammeth M, Friedländer MR, 't Hoen PA, Monlong J, Rivas MA, Gonzàlez-Porta M, Kurbatova N, Griebel T, Ferreira PG, Barann M, Wieland T, Greger L, van Iterson M, Almlöf J, Ribeca P, Pulyakhina I, Esser D, Giger T, Tikhonov A, Sultan M, Bertier G, MacArthur DG, Lek M, Lizano E, Buermans HP, Padioleau I, Schwarzmayr T, Karlberg O, Ongen H, Kilpinen H, Beltran S, Gut M, Kahlem K, Amstislavskiy V, Stegle O, Pirinen M, Montgomery SB, Donnelly P, McCarthy MI, Flicek P, Strom TM; Geuvadis Consortium, Lehrach H, Schreiber S, Sudbrak R, Carracedo A, Antonarakis SE, Häsler R, Syvänen AC, van Ommen GJ, Brazma A, Meitinger T, Rosenstiel P, Guigó R, Gut IG, Estivill X, Dermitzakis ET.

Nature. 2013 Sep 26;501(7468):506-11. doi: 10.1038/nature12531. Epub 2013 Sep 15.

38.

Passive and active DNA methylation and the interplay with genetic variation in gene regulation.

Gutierrez-Arcelus M, Lappalainen T, Montgomery SB, Buil A, Ongen H, Yurovsky A, Bryois J, Giger T, Romano L, Planchon A, Falconnet E, Bielser D, Gagnebin M, Padioleau I, Borel C, Letourneau A, Makrythanasis P, Guipponi M, Gehrig C, Antonarakis SE, Dermitzakis ET.

Elife. 2013 Jun 4;2:e00523. doi: 10.7554/eLife.00523. Erratum in: Elife. 2013;2:e01045.

39.

Janus--a comprehensive tool investigating the two faces of transcription.

Barann M, Esser D, Klostermeier UC, Lappalainen T, Luzius A, Kuiper JW, Ammerpohl O, Vater I, Siebert R, Amstislavskiy V, Sudbrak R, Lehrach H, Schreiber S, Rosenstiel P.

Bioinformatics. 2013 Jul 1;29(13):1600-6. doi: 10.1093/bioinformatics/btt185. Epub 2013 Apr 24.

PMID:
23620359
40.

Sex-biased genetic effects on gene regulation in humans.

Dimas AS, Nica AC, Montgomery SB, Stranger BE, Raj T, Buil A, Giger T, Lappalainen T, Gutierrez-Arcelus M; MuTHER Consortium, McCarthy MI, Dermitzakis ET.

Genome Res. 2012 Dec;22(12):2368-75. doi: 10.1101/gr.134981.111. Epub 2012 Sep 7.

41.

Insights into hominid evolution from the gorilla genome sequence.

Scally A, Dutheil JY, Hillier LW, Jordan GE, Goodhead I, Herrero J, Hobolth A, Lappalainen T, Mailund T, Marques-Bonet T, McCarthy S, Montgomery SH, Schwalie PC, Tang YA, Ward MC, Xue Y, Yngvadottir B, Alkan C, Andersen LN, Ayub Q, Ball EV, Beal K, Bradley BJ, Chen Y, Clee CM, Fitzgerald S, Graves TA, Gu Y, Heath P, Heger A, Karakoc E, Kolb-Kokocinski A, Laird GK, Lunter G, Meader S, Mort M, Mullikin JC, Munch K, O'Connor TD, Phillips AD, Prado-Martinez J, Rogers AS, Sajjadian S, Schmidt D, Shaw K, Simpson JT, Stenson PD, Turner DJ, Vigilant L, Vilella AJ, Whitener W, Zhu B, Cooper DN, de Jong P, Dermitzakis ET, Eichler EE, Flicek P, Goldman N, Mundy NI, Ning Z, Odom DT, Ponting CP, Quail MA, Ryder OA, Searle SM, Warren WC, Wilson RK, Schierup MH, Rogers J, Tyler-Smith C, Durbin R.

Nature. 2012 Mar 7;483(7388):169-75. doi: 10.1038/nature10842.

42.

Association of the fat mass and obesity-associated (FTO) gene variant (rs9939609) with dietary intake in the Finnish Diabetes Prevention Study.

Lappalainen T, Lindström J, Paananen J, Eriksson JG, Karhunen L, Tuomilehto J, Uusitupa M.

Br J Nutr. 2012 Nov 28;108(10):1859-65. doi: 10.1017/S0007114511007410. Epub 2012 Jan 23.

PMID:
22265018
43.

Epistatic selection between coding and regulatory variation in human evolution and disease.

Lappalainen T, Montgomery SB, Nica AC, Dermitzakis ET.

Am J Hum Genet. 2011 Sep 9;89(3):459-63. doi: 10.1016/j.ajhg.2011.08.004.

44.

Rare and common regulatory variation in population-scale sequenced human genomes.

Montgomery SB, Lappalainen T, Gutierrez-Arcelus M, Dermitzakis ET.

PLoS Genet. 2011 Jul;7(7):e1002144. doi: 10.1371/journal.pgen.1002144. Epub 2011 Jul 21.

45.

Swedish population substructure revealed by genome-wide single nucleotide polymorphism data.

Salmela E, Lappalainen T, Liu J, Sistonen P, Andersen PM, Schreiber S, Savontaus ML, Czene K, Lahermo P, Hall P, Kere J.

PLoS One. 2011 Feb 9;6(2):e16747. doi: 10.1371/journal.pone.0016747.

46.

Gene expression of FTO in human subcutaneous adipose tissue, peripheral blood mononuclear cells and adipocyte cell line.

Lappalainen T, Kolehmainen M, Schwab U, Pulkkinen L, de Mello VD, Vaittinen M, Laaksonen DE, Poutanen K, Uusitupa M, Gylling H.

J Nutrigenet Nutrigenomics. 2010;3(1):37-45. doi: 10.1159/000320732. Epub 2010 Sep 27.

PMID:
20948226
47.

Evolutionary history of regulatory variation in human populations.

Lappalainen T, Dermitzakis ET.

Hum Mol Genet. 2010 Oct 15;19(R2):R197-203. doi: 10.1093/hmg/ddq406. Epub 2010 Sep 28. Review.

PMID:
20876617
48.

Association of the FTO gene variant (rs9939609) with cardiovascular disease in men with abnormal glucose metabolism--the Finnish Diabetes Prevention Study.

Lappalainen T, Kolehmainen M, Schwab US, Tolppanen AM, Stančáková A, Lindström J, Eriksson JG, Keinänen-Kiukaanniemi S, Aunola S, Ilanne-Parikka P, Herder C, Koenig W, Gylling H, Kolb H, Tuomilehto J, Kuusisto J, Uusitupa M; Finnish Diabetes Prevention Study Group.

Nutr Metab Cardiovasc Dis. 2011 Sep;21(9):691-8. doi: 10.1016/j.numecd.2010.01.006. Epub 2010 Apr 18.

PMID:
20400278
49.

Distinct variants at LIN28B influence growth in height from birth to adulthood.

Widén E, Ripatti S, Cousminer DL, Surakka I, Lappalainen T, Järvelin MR, Eriksson JG, Raitakari O, Salomaa V, Sovio U, Hartikainen AL, Pouta A, McCarthy MI, Osmond C, Kajantie E, Lehtimäki T, Viikari J, Kähönen M, Tyler-Smith C, Freimer N, Hirschhorn JN, Peltonen L, Palotie A.

Am J Hum Genet. 2010 May 14;86(5):773-82. doi: 10.1016/j.ajhg.2010.03.010. Epub 2010 Apr 15.

50.

Genomic landscape of positive natural selection in Northern European populations.

Lappalainen T, Salmela E, Andersen PM, Dahlman-Wright K, Sistonen P, Savontaus ML, Schreiber S, Lahermo P, Kere J.

Eur J Hum Genet. 2010 Apr;18(4):471-8. doi: 10.1038/ejhg.2009.184. Epub 2009 Oct 21.

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