How to estimate kinship.
How to estimate kinship.
复制标题
如何估计亲属关系。
DOI：
10.1111/mec.14833
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发表时间：
2018-10
影响因子：
4.9
通讯作者：
Weir BS
中科院分区：
文献类型：
--
作者：
Goudet J;Kay T;Weir BS
亲属关系的概念渗透到基础和应用生物学的许多领域，从社会进化到保护科学，再到数量和人类遗传学。直到最近，家谱一直是推断亲缘关系的黄金标准，但下一代测序的出现和许多物种中密集遗传标记的可获得性使得现在是(重新)评估遗传标记在这方面的有用性的好时机。使用三个既有家系又有标记的公开数据集，我们评估了两种常见的和一种新的亲属关系遗传估计器。我们显示了血缘关系的系谱值和标记估计值之间的差异，并通过模拟探索了造成这些差异的可能原因。我们发现这些差异主要归因于两个来源：血统错误和创始人来源的异质性。我们还表明，我们的新的基于标记的亲属关系估计器具有非常好的统计特性和行为，特别适合于源种群规模较小的情况，如保护生物学中经常会出现的情况，以及期望高水平的亲属关系的情况，如社会进化研究中的典型情况。
The concept of kinship permeates many domains of fundamental and applied biology ranging from social evolution to conservation science to quantitative and human genetics. Until recently, pedigrees were the gold standard to infer kinship, but the advent of next‐generation sequencing and the availability of dense genetic markers in many species make it a good time to (re)evaluate the usefulness of genetic markers in this context. Using three published data sets where both pedigrees and markers are available, we evaluate two common and a new genetic estimator of kinship. We show discrepancies between pedigree values and marker estimates of kinship and explore via simulations the possible reasons for these. We find these discrepancies are attributable to two main sources: pedigree errors and heterogeneity in the origin of founders. We also show that our new marker‐based kinship estimator has very good statistical properties and behaviour and is particularly well suited for situations where the source population is of small size, as will often be the case in conservation biology, and where high levels of kinship are expected, as is typical in social evolution studies.
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DOI：
10.1126/science.1252806
发表时间：
2014-06-06
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Jiang Y;Xie M;Chen W;Talbot R;Maddox JF;Faraut T;Wu C;Muzny DM;Li Y;Zhang W;Stanton JA;Brauning R;Barris WC;Hourlier T;Aken BL;Searle SMJ;Adelson DL;Bian C;Cam GR;Chen Y;Cheng S;DeSilva U;Dixen K;Dong Y;Fan G;Franklin IR;Fu S;Guan R;Highland MA;Holder ME;Huang G;Ingham AB;Jhangiani SN;Kalra D;Kovar CL;Lee SL;Liu W;Liu X;Lu C;Lv T;Mathew T;McWilliam S;Menzies M;Pan S;Robelin D;Servin B;Townley D;Wang W;Wei B;White SN;Yang X;Ye C;Yue Y;Zeng P;Zhou Q;Hansen JB;Kristensen K;Gibbs RA;Flicek P;Warkup CC;Jones HE;Oddy VH;Nicholas FW;McEwan JC;Kijas J;Wang J;Worley KC;Archibald AL;Cockett N;Xu X;Wang W;Dalrymple BP
通讯作者：
Dalrymple BP
影响因子：
30.8
作者：
Harold, Denise;Abraham, Richard;Hollingworth, Paul;Sims, Rebecca;Gerrish, Amy;Hamshere, Marian L.;Pahwa, Jaspreet Singh;Moskvina, Valentina;Dowzell, Kimberley;Williams, Amy;Jones, Nicola;Thomas, Charlene;Stretton, Alexandra;Morgan, Angharad R.;Lovestone, Simon;Powell, John;Proitsi, Petroula;Lupton, Michelle K.;Brayne, Carol;Rubinsztein, David C.;Gill, Michael;Lawlor, Brian;Lynch, Aoibhinn;Morgan, Kevin;Brown, Kristelle S.;Passmore, Peter A.;Craig, David;McGuinness, Bernadette;Todd, Stephen;Holmes, Clive;Mann, David;Smith, A. David;Love, Seth;Kehoe, Patrick G.;Hardy, John;Mead, Simon;Fox, Nick;Rossor, Martin;Collinge, John;Maier, Wolfgang;Jessen, Frank;Schuermann, Britta;van den Bussche, Hendrik;Heuser, Isabella;Kornhuber, Johannes;Wiltfang, Jens;Dichgans, Martin;Froelich, Lutz;Hampel, Harald;Huell, Michael;Rujescu, Dan;Goate, Alison M.;Kauwe, John S. K.;Cruchaga, Carlos;Nowotny, Petra;Morris, John C.;Mayo, Kevin;Sleegers, Kristel;Bettens, Karolien;Engelborghs, Sebastiaan;De Deyn, Peter P.;Van Broeckhoven, Christine;Livingston, Gill;Bass, Nicholas J.;Gurling, Hugh;McQuillin, Andrew;Gwilliam, Rhian;Deloukas, Panagiotis;Al-Chalabi, Ammar;Shaw, Christopher E.;Tsolaki, Magda;Singleton, Andrew B.;Guerreiro, Rita;Muehleisen, Thomas W.;Noethen, Markus M.;Moebus, Susanne;Joeckel, Karl-Heinz;Klopp, Norman;Wichmann, H-Erich;Carrasquillo, Minerva M.;Pankratz, V. Shane;Younkin, Steven G.;Holmans, Peter A.;O'Donovan, Michael;Owen, Michael J.;Williams, Julie
通讯作者：
Williams, Julie
影响因子：
12.3
作者：
Cai Q;Qian X;Lang Y;Luo Y;Xu J;Pan S;Hui Y;Gou C;Cai Y;Hao M;Zhao J;Wang S;Wang Z;Zhang X;He R;Liu J;Luo L;Li Y;Wang J
通讯作者：
Wang J
影响因子：
64.8
作者：
通讯作者：
--
影响因子：
3.5
作者：
Legarra, A.;Aguilar, I.;Misztal, I.
通讯作者：
Misztal, I.