 Connection
Luke Evans to Multifactorial Inheritance
This is a "connection" page, showing publications Luke Evans has written about Multifactorial Inheritance.
|
|
| |
Connection Strength |
|
 |
|
 |
| |
1.766 |
|
|
|
-
Evans LM, Romero Villela PN. How rare mutations contribute to complex traits. Nature. 2023 02; 614(7948):418-419.
Score: 0.677
-
Evans LM, Arehart CH, Gibson RA, Bowman GI, Gignoux CR. A simple approach for multiple observations improves power to detect genetic effects and genomic prediction accuracy. HGG Adv. 2026 Apr 09; 7(2):100586.
Score: 0.210
-
Arehart CH, Lin M, Gibson RA, Raghavan S, Gignoux CR, Stanislawski MA, Grotzinger AD, Evans LM. Modeling the genomic architecture of adiposity and anthropometrics across the lifespan. Nat Commun. 2025 Aug 13; 16(1):7494.
Score: 0.202
-
Evans LM, Arehart CH, Grotzinger AD, Mize TJ, Brasher MS, Stitzel JA, Ehringer MA, Hoeffer CA. Transcriptome-wide gene-gene interaction associations elucidate pathways and functional enrichment of complex traits. PLoS Genet. 2023 05; 19(5):e1010693.
Score: 0.173
-
Mize TJ, Evans LM. Examination of a novel expression-based gene-SNP annotation strategy to identify tissue-specific contributions to heritability in multiple traits. Eur J Hum Genet. 2024 03; 32(3):263-269.
Score: 0.167
-
Johnson EC, Evans LM, Keller MC. Relationships between estimated autozygosity and complex traits in the UK Biobank. PLoS Genet. 2018 07; 14(7):e1007556.
Score: 0.124
-
Evans LM, Tahmasbi R, Vrieze SI, Abecasis GR, Das S, Gazal S, Bjelland DW, de Candia TR, Goddard ME, Neale BM, Yang J, Visscher PM, Keller MC. Comparison of methods that use whole genome data to estimate the heritability and genetic architecture of complex traits. Nat Genet. 2018 05; 50(5):737-745.
Score: 0.122
-
van der Laan CM, Ip HF, Schipper M, Hottenga JJ, St Pourcain B, Zayats T, Pool R, Krapohl EML, Brikell I, Soler Artigas M, Cabana-Domínguez J, Llonga N, Nolte IM, Bolhuis K, Palviainen T, Zafarmand H, Gordon S, Aliev F, Burt SA, Wang CA, Saunders G, Karhunen V, Adkins DE, Border R, Peterson RE, Prinz JA, Thiering E, Vilor-Tejedor N, Ahluwalia TS, Allegrini A, Rimfeld K, Chen Q, Lu Y, Martin J, Bosch R, Ramos-Quiroga JA, Neumann A, Ensink J, Grasby KL, Morosoli JJ, Tong X, Marrington S, Scott JG, Shabalin AA, Corley R, Evans LM, Sugden K, Alemany S, Sass L, Vinding R, Ehli EA, Hagenbeek FA, Derks EM, Larsson H, Snieder H, Cecil C, Whipp AM, Korhonen T, Vuoksimaa E, Rose RJ, Uitterlinden AG, Haavik J, Harris JR, Helgeland Ø, Johansson S, Knudsen GPS, Njolstad PR, Lu Q, Rodriguez A, Henders AK, Mamun A, Najman JM, Brown S, Hopfer C, Krauter K, Reynolds CA, Smolen A, Stallings M, Wadsworth S, Wall TL, Eaves L, Silberg JL, Miller A, Havdahl A, Llop S, Lopez-Espinosa MJ, Bønnelykke K, Sunyer J, Arseneault L, Standl M, Heinrich J, Boden J, Pearson J, Horwood J, Kennedy M, Poulton R, Maes HH, Hewitt J, Copeland WE, Middeldorp CM, Williams GM, Wray N, Järvelin MR, McGue M, Iacono W, Caspi A, Moffitt TE, Whitehouse AJO, Pennell CE, Klump KL, Jiang C, Dick DM, Reichborn-Kjennerud T, Martin NG, Medland SE, Vrijkotte T, Kaprio J, Tiemeier H, Davey Smith G, Hartman CA, Oldehinkel AJ, Casas M, Ribasés M, Lichtenstein P, Lundström S, Plomin R, Bartels M, Nivard MG, Boomsma DI. Genome-wide association meta-analysis of childhood ADHD symptoms and diagnosis identifies new loci and potential effector genes. Nat Genet. 2025 Oct; 57(10):2427-2435.
Score: 0.051
-
Howe LJ, Nivard MG, Morris TT, Hansen AF, Rasheed H, Cho Y, Chittoor G, Ahlskog R, Lind PA, Palviainen T, van der Zee MD, Cheesman R, Mangino M, Wang Y, Li S, Klaric L, Ratliff SM, Bielak LF, Nygaard M, Giannelis A, Willoughby EA, Reynolds CA, Balbona JV, Andreassen OA, Ask H, Baras A, Bauer CR, Boomsma DI, Campbell A, Campbell H, Chen Z, Christofidou P, Corfield E, Dahm CC, Dokuru DR, Evans LM, de Geus EJC, Giddaluru S, Gordon SD, Harden KP, Hill WD, Hughes A, Kerr SM, Kim Y, Kweon H, Latvala A, Lawlor DA, Li L, Lin K, Magnus P, Magnusson PKE, Mallard TT, Martikainen P, Mills MC, Njølstad PR, Overton JD, Pedersen NL, Porteous DJ, Reid J, Silventoinen K, Southey MC, Stoltenberg C, Tucker-Drob EM, Wright MJ, Hewitt JK, Keller MC, Stallings MC, Lee JJ, Christensen K, Kardia SLR, Peyser PA, Smith JA, Wilson JF, Hopper JL, Hägg S, Spector TD, Pingault JB, Plomin R, Havdahl A, Bartels M, Martin NG, Oskarsson S, Justice AE, Millwood IY, Hveem K, Naess Ø, Willer CJ, Åsvold BO, Koellinger PD, Kaprio J, Medland SE, Walters RG, Benjamin DJ, Turley P, Evans DM, Davey Smith G, Hayward C, Brumpton B, Hemani G, Davies NM. Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects. Nat Genet. 2022 05; 54(5):581-592.
Score: 0.040
|
Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
|